kernel_id int64 24.2k 23.3M | prompt stringlengths 8 1.85M | completetion stringlengths 1 182k | comp_name stringlengths 5 57 |
|---|---|---|---|
1,316,642 | train = pd.read_csv('.. /input/train.csv')
test = pd.read_csv('.. /input/test.csv' )<count_missing_values> | gc.enable()
del app_train, app_test, app_train_domain, app_test_domain, bureau, bureau_balance, bureau_agg, bureau_balance_agg, bureau_balance_counts, bureau_by_loan, bureau_balance_by_client
gc.collect() | Home Credit Default Risk |
1,316,642 | train.isnull().sum()<count_missing_values> | def train_with_cv(train_data, test_data, n_folds, seed_varying):
train_ids = train_data['SK_ID_CURR']
test_ids = test_data['SK_ID_CURR']
train_labels = train_data['TARGET']
train_features = train_data.drop(columns = ['SK_ID_CURR', 'TARGET'])
test_features = test_data.drop(columns = ['SK_ID_CURR'])
feature_names = list(train_features.columns)
feature_importance_values = np.zeros(len(feature_names))
train_features = np.array(train_features)
test_features = np.array(test_features)
k_fold = KFold(n_splits = n_folds, shuffle = True, random_state = 50+seed_varying)
test_pred = np.zeros(test_features.shape[0])
out_of_fold = np.zeros(train_features.shape[0])
valid_scores = []
train_scores = []
for train_indices, valid_indices in k_fold.split(train_features):
x_train, y_train = train_features[train_indices], train_labels[train_indices]
x_valid, y_valid = train_features[valid_indices], train_labels[valid_indices]
model = lgb.LGBMClassifier(n_estimators=10000, objective = 'binary',
class_weight = 'balanced', learning_rate = 0.05,
reg_alpha = 0.1, reg_lambda = 0.1,
subsample = 0.8, n_jobs = -1, random_state = 50+seed_varying)
model.fit(x_train, y_train, eval_metric = 'auc',
eval_set = [(x_valid, y_valid),(x_train, y_train)],
eval_names = ['valid', 'train'], categorical_feature = 'auto',
early_stopping_rounds = 100, verbose = -1)
best_iteration = model.best_iteration_
feature_importance_values += model.feature_importances_ / k_fold.n_splits
test_pred += model.predict_proba(test_features, num_iteration = best_iteration)[:, 1] / k_fold.n_splits
out_of_fold[valid_indices] = model.predict_proba(x_valid, num_iteration = best_iteration)[:, 1]
valid_score = model.best_score_['valid']['auc']
train_score = model.best_score_['train']['auc']
valid_scores.append(valid_score)
train_scores.append(train_score)
gc.enable()
del model, x_train, y_train, x_valid, y_valid
gc.collect()
pred_score = pd.DataFrame({'SK_ID_CURR': test_ids, 'TARGET': test_pred})
feature_importances = pd.DataFrame({'feature': feature_names, 'importance': feature_importance_values})
valid_auc = roc_auc_score(train_labels, out_of_fold)
valid_scores.append(valid_auc)
train_scores.append(np.mean(train_scores))
fold_names = list(range(n_folds))
fold_names.append('overall')
metrics = pd.DataFrame({'fold': fold_names,
'train': train_scores,
'valid': valid_scores})
return pred_score, feature_importances, metrics | Home Credit Default Risk |
1,316,642 | test.isnull().sum()<count_missing_values> | train_times = 3
n_folds = 5
i = 0
metrics_all = np.zeros(( train_times, 2))
for seed_varying in range(train_times):
print('
=======================================================')
print('The ', seed_varying, ' time of train')
print('
=======================================================')
sub, fi, metrics = train_with_cv(train, test, n_folds, seed_varying)
if i==0:
submission = sub
feat_
else:
submission['TARGET'] += sub['TARGET']
feat_import['importance'] += fi['importance']
metrics_all[i, :] = metrics.iloc[-1, 1:3]
i += 1
metrics_all_average = metrics_all.mean(axis = 0)
metrics_all = np.row_stack([metrics_all, metrics_all_average])
train_time_names = list(range(train_times))
train_time_names.append('Average')
metrics_final = pd.DataFrame({'train_time': train_time_names,
'train': metrics_all[:,0],
'valid': metrics_all[:,1]})
submission['TARGET'] = submission['TARGET'] / train_times
feat_import['importance'] = feat_import['importance'] / train_times
submission.to_csv('lightgbm_version_10.csv', index = False ) | Home Credit Default Risk |
1,096,369 | test.isnull().sum()<count_values> | data1 = pd.read_csv('.. /input/lightgbm-with-simple-features-0-785-lb/submission_kernel00.csv')
data2 = pd.read_csv('.. /input/tidy-xgb-all-tables-0-782/tidy_xgb_0.77821.csv' ) | Home Credit Default Risk |
1,096,369 | train.Outcome.value_counts()<prepare_x_and_y> | data1['TARGET'] =(data1['TARGET']+data2['TARGET'])/2 | Home Credit Default Risk |
1,096,369 | <train_model><EOS> | data1.to_csv('blend1_.788lb.csv',index = False ) | Home Credit Default Risk |
1,078,102 | <SOS> metric: AUC Kaggle data source: home-credit-default-risk<predict_on_test> | import gc
import numpy as np
import pandas as pd
from sklearn.model_selection import KFold, StratifiedKFold
from sklearn.preprocessing import StandardScaler,LabelEncoder
from sklearn.metrics import roc_auc_score | Home Credit Default Risk |
1,078,102 | predicted = clf.predict(test )<save_to_csv> | def add_noise(series, noise_level):
return series *(1 + noise_level * np.random.randn(len(series)))
def target_encode(trn_series=None,
tst_series=None,
target=None,
min_samples_leaf=1,
smoothing=1,
noise_level=0):
assert len(trn_series)== len(target)
assert trn_series.name == tst_series.name
temp = pd.concat([trn_series, target], axis=1)
averages = temp.groupby(by=trn_series.name)[target.name].agg(["mean", "count"])
smoothing = 1 /(1 + np.exp(-(averages["count"] - min_samples_leaf)/ smoothing))
prior = target.mean()
averages[target.name] = prior *(1 - smoothing)+ averages["mean"] * smoothing
averages.drop(["mean", "count"], axis=1, inplace=True)
ft_trn_series = pd.merge(
trn_series.to_frame(trn_series.name),
averages.reset_index().rename(columns={'index': target.name, target.name: 'average'}),
on=trn_series.name,
how='left')['average'].rename(trn_series.name + '_mean' ).fillna(prior)
ft_trn_series.index = trn_series.index
ft_tst_series = pd.merge(
tst_series.to_frame(tst_series.name),
averages.reset_index().rename(columns={'index': target.name, target.name: 'average'}),
on=tst_series.name,
how='left')['average'].rename(trn_series.name + '_mean' ).fillna(prior)
ft_tst_series.index = tst_series.index
return add_noise(ft_trn_series, noise_level), add_noise(ft_tst_series, noise_level ) | Home Credit Default Risk |
1,078,102 | output = pd.DataFrame(predicted,columns = ['Outcome'])
test = pd.read_csv('.. /input/test.csv')
output['Id'] = test['Id']
output[['Id','Outcome']].to_csv('submission_cloudy10.csv', index = False)
output.head()<import_modules> | def UseGPFeatures(data):
v = pd.DataFrame()
v["i0"] = np.tanh(((((( -1.0*(((( np.maximum(((data["EXT_SOURCE_2"])) ,(( data["EXT_SOURCE_3"])))) -(data["te_OCCUPATION_TYPE"])))))) -(((((((data["EXT_SOURCE_2"])+(data["EXT_SOURCE_3"])))* 2.0)) +(data["EXT_SOURCE_3"])))))* 2.0))
v["i1"] = np.tanh(((((data["te_OCCUPATION_TYPE"])+(((((data["NAME_CONTRACT_STATUS_Refused"])-(((((data["EXT_SOURCE_3"])* 2.0)) * 2.0)))) +(((data["te_ORGANIZATION_TYPE"])-(((((data["EXT_SOURCE_1"])* 2.0)) * 2.0)))))))) * 2.0))
v["i2"] = np.tanh(((((((data["te_OCCUPATION_TYPE"])-(0.686567)))-(((((((data["EXT_SOURCE_3"])+(data["EXT_SOURCE_1"])))+(data["EXT_SOURCE_2"])))* 2.0)))) * 2.0))
v["i3"] = np.tanh(((((((((((data["NAME_CONTRACT_STATUS_Refused"])+(((data["te_OCCUPATION_TYPE"])-(data["EXT_SOURCE_2"])))))-(0.686567)))-(data["EXT_SOURCE_3"])))* 2.0)) -(((data["EXT_SOURCE_2"])+(data["EXT_SOURCE_3"])))))
v["i4"] = np.tanh(((((((data["DAYS_CREDIT"])-(data["EXT_SOURCE_3"])))-(data["EXT_SOURCE_3"])))+(((np.where(data["EXT_SOURCE_1"]>0, -3.0, data["DAYS_BIRTH"])) -(data["EXT_SOURCE_1"])))))
v["i5"] = np.tanh(((((data["NAME_CONTRACT_STATUS_Refused"])+(((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])+(((data["te_NAME_EDUCATION_TYPE"])+(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])-(((((( data["EXT_SOURCE_2"])* 2.0)) +(data["EXT_SOURCE_2"])) /2.0)))))))) * 2.0)))) * 2.0))
v["i6"] = np.tanh(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])+(((((((((( data["NAME_PRODUCT_TYPE_walk_in"])-(data["EXT_SOURCE_1"])))+(np.where(data["EXT_SOURCE_1"]>0, -2.0, data["te_ORGANIZATION_TYPE"])))/2.0)) -(data["EXT_SOURCE_3"])))* 2.0))))
v["i7"] = np.tanh(( -1.0*(((((((( data["EXT_SOURCE_2"])+(((data["DAYS_FIRST_DRAWING"])+(data["EXT_SOURCE_3"])))))* 2.0)) +(((data["EXT_SOURCE_2"])+(((0.697674)+(data["EXT_SOURCE_1"]))))))))))
v["i8"] = np.tanh(((data["REGION_RATING_CLIENT_W_CITY"])+(((((((((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])+(data["te_NAME_EDUCATION_TYPE"])))-(data["EXT_SOURCE_1"])))-(data["EXT_SOURCE_3"])))-(data["EXT_SOURCE_2"])))* 2.0))))
v["i9"] = np.tanh(((data["NAME_CONTRACT_STATUS_Refused"])+(((((((((((((data["cc_bal_AMT_BALANCE"])-(data["EXT_SOURCE_2"])))-(data["CODE_GENDER"])))+(data["cc_bal_AMT_BALANCE"])))-(0.416667)))* 2.0)) -(data["EXT_SOURCE_3"])))))
v["i10"] = np.tanh(((((((((((data["ty__Microloan"])* 2.0)) *(((14.800000)/ 2.0)))) -(data["EXT_SOURCE_2"])))+(((data["FLAG_DOCUMENT_3"])-(data["EXT_SOURCE_3"])))))+(data["CNT_INSTALMENT_FUTURE"])))
v["i11"] = np.tanh(((((data["te_ORGANIZATION_TYPE"])-(np.where(((( data["EXT_SOURCE_1"])+(data["NAME_CONTRACT_TYPE"])) /2.0)>0, 3.0, data["EXT_SOURCE_1"])))) +(((data["NAME_YIELD_GROUP_high"])-(data["EXT_SOURCE_2"])))))
v["i12"] = np.tanh(((((((data["DEF_30_CNT_SOCIAL_CIRCLE"])+(((data["te_FLAG_OWN_CAR"])+(((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])-(((data["SK_ID_PREV_y"])* 2.0)))) +(data["CNT_INSTALMENT_FUTURE"])))))))-(data["EXT_SOURCE_3"])))+(data["CNT_INSTALMENT_FUTURE"])))
v["i13"] = np.tanh(((data["te_CODE_GENDER"])+(((np.maximum(((data["NAME_PRODUCT_TYPE_walk_in"])) ,(((( data["REG_CITY_NOT_LIVE_CITY"])+(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))) +(((((((data["cc_bal_CNT_DRAWINGS_CURRENT"])+(((data["ty__Microloan"])* 2.0)))) * 2.0)) * 2.0))))))
v["i14"] = np.tanh(((((((((((((((data["ty__Microloan"])+(data["te_NAME_EDUCATION_TYPE"])) /2.0)) +(data["te_NAME_CONTRACT_TYPE"])) /2.0)) -(data["AMT_ANNUITY"])))+(data["CNT_PAYMENT"])))* 2.0)) -(((data["FLAG_OWN_CAR"])+(data["AMT_ANNUITY"])))))
v["i15"] = np.tanh(((((((((( data["DEF_30_CNT_SOCIAL_CIRCLE"])-(data["DAYS_FIRST_DRAWING"])))+(((data["DAYS_ID_PUBLISH"])+(((data["cc_bal_AMT_TOTAL_RECEIVABLE"])* 2.0)))))/2.0)) -(np.tanh(((( data["ca__Closed"])* 2.0)))))) +(data["cc_bal_AMT_BALANCE"])))
v["i16"] = np.tanh(np.where(data["NAME_YIELD_GROUP_low_action"]>0,(( data["NAME_CONTRACT_STATUS_Refused"])-(3.0)) ,(((( data["REGION_RATING_CLIENT_W_CITY"])+(((data["avg_buro_buro_bal_status_1"])+(((( data["NAME_YIELD_GROUP_high"])+(data["NAME_CONTRACT_STATUS_Refused"])) /2.0)))))) +(data["avg_buro_buro_bal_status_1"]))))
v["i17"] = np.tanh(((np.maximum(((np.maximum(((data["CNT_PAYMENT"])) ,(( data["te_NAME_FAMILY_STATUS"]))))),(( data["NAME_CLIENT_TYPE_New"])))) +(((np.minimum(((data["AMT_ANNUITY_x"])) ,(((( np.maximum(((data["ty__Microloan"])) ,(( data["CNT_PAYMENT"])))) -(data["RATE_DOWN_PAYMENT"])))))) * 2.0))))
v["i18"] = np.tanh(((((((((((((( data["ty__Microloan"])*(11.714300)))-(data["ty__Mortgage"])))+(data["te_WALLSMATERIAL_MODE"])) /2.0)) -(data["inst_NUM_INSTALMENT_VERSION"])))-(data["PRODUCT_COMBINATION_POS_industry_with_interest"])))-(((data["NAME_GOODS_CATEGORY_Furniture"])* 2.0))))
v["i19"] = np.tanh(((((data["SK_ID_PREV_y"])+(-3.0)))*(((((data["SK_ID_PREV_y"])-(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))+(((0.797872)+(data["NAME_YIELD_GROUP_low_action"])))))))
v["i20"] = np.tanh(((((data["avg_buro_buro_bal_status_1"])+(((data["avg_buro_buro_bal_status_1"])+(((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])+(((((((( data["ty__Microloan"])* 2.0)) * 2.0)) +(((data["CNT_INSTALMENT_FUTURE"])*(data["CNT_INSTALMENT_FUTURE"])))) /2.0)))))))) * 2.0))
v["i21"] = np.tanh(((data["DAYS_LAST_PHONE_CHANGE"])+(((((((11.714300)*(((((((data["OWN_CAR_AGE"])+(data["CODE_REJECT_REASON_SCOFR"])))* 2.0)) -(((data["inst_AMT_PAYMENT"])-(data["CODE_REJECT_REASON_SCOFR"])))))))* 2.0)) / 2.0))))
v["i22"] = np.tanh(((0.576923)+(((data["AMT_ANNUITY_x"])+(((((data["AMT_ANNUITY_x"])+(np.maximum(((data["AMT_ANNUITY_x"])) ,(( np.maximum(((data["DEF_60_CNT_SOCIAL_CIRCLE"])) ,(( data["CNT_INSTALMENT_FUTURE"])))))))))-(data["CHANNEL_TYPE_Channel_of_corporate_sales"])))))))
v["i23"] = np.tanh(((data["SK_DPD"])+(((((((( data["te_NAME_EDUCATION_TYPE"])+(data["te_FLAG_OWN_CAR"])) /2.0)) -(data["RATE_DOWN_PAYMENT"])))+(np.where(data["te_NAME_FAMILY_STATUS"]>0, 0.797872,(( data["SK_DPD"])-(0.494118))))))))
v["i24"] = np.tanh(((((((data["te_ORGANIZATION_TYPE"])+(data["CODE_REJECT_REASON_HC"])) /2.0)) +(((data["te_CODE_GENDER"])-(((data["NAME_YIELD_GROUP_low_normal"])+(((data["CHANNEL_TYPE_Channel_of_corporate_sales"])+(((data["ty__Mortgage"])*(data["ty__Mortgage"])))))))))) /2.0))
v["i25"] = np.tanh(((((((( 1.220590)-(data["FLOORSMAX_MODE"])))+(data["CNT_INSTALMENT_FUTURE"])) /2.0)) +(((14.800000)*(np.maximum(((data["ty__Microloan"])) ,(( data["SK_DPD"]))))))))
v["i26"] = np.tanh(( -1.0*(((((((0.494118)+(((((np.minimum(((data["inst_AMT_PAYMENT"])) ,(( data["MONTHS_BALANCE"])))) * 2.0)) +(data["NAME_YIELD_GROUP_low_action"])))) /2.0)) +(np.maximum(((data["CHANNEL_TYPE_Channel_of_corporate_sales"])) ,(((( data["AMT_CREDIT_SUM_LIMIT"])* 2.0))))))))))
v["i27"] = np.tanh(((( np.tanh(( data["PRODUCT_COMBINATION_Cash_Street__low"])))+(( -1.0*(((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])+(((((data["PRODUCT_COMBINATION_Cash_Street__low"])+(((data["ORGANIZATION_TYPE"])-(data["CNT_PAYMENT"])))))-(data["cc_bal_CNT_DRAWINGS_CURRENT"])))))))))/2.0))
v["i28"] = np.tanh(((((( 0.062500)+(data["DAYS_REGISTRATION"])) /2.0)) -(np.where(((( data["SK_ID_PREV_y"])+(((( data["FLAG_DOCUMENT_18"])+(data["Active"])) /2.0)))/2.0)>0, data["Active"],(( data["PRODUCT_COMBINATION_Cash_X_Sell__low"])+(data["FLAG_DOCUMENT_16"]))))))
v["i29"] = np.tanh(((((( data["NAME_FAMILY_STATUS"])+(np.minimum(((data["PRODUCT_COMBINATION_Cash_Street__low"])) ,(((-1.0*(( np.maximum(((data["ty__Mortgage"])) ,(((( np.maximum(((data["PRODUCT_COMBINATION_Cash_Street__low"])) ,(((-1.0*(( data["te_FLAG_DOCUMENT_18"])))))))/ 2.0)))))))))))) /2.0)) -(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))
v["i30"] = np.tanh(np.where(( -1.0*(( data["cc_bal_AMT_TOTAL_RECEIVABLE"])))>0, data["CNT_PAYMENT"],(((((((data["FLAG_DOCUMENT_13"])<(np.tanh(((( data["SK_DPD"])*(0.797872)))))) *1.))+(data["ca__Sold"])))+(data["SK_DPD"]))))
v["i31"] = np.tanh(((( data["cc_bal_AMT_BALANCE"])+(( -1.0*(( np.maximum(((data["CODE_REJECT_REASON_SCO"])) ,(((((np.maximum(((data["FLAG_PHONE"])) ,(( data["FLAG_DOCUMENT_18"])))) +(np.minimum(((data["cc_bal_AMT_RECIVABLE"])) ,(( data["FLAG_PHONE"])))))/2.0)))))))))/2.0))
v["i32"] = np.tanh(((((((((( data["NAME_PAYMENT_TYPE_XNA"])-(data["FLAG_DOCUMENT_13"])))-(data["te_FLAG_CONT_MOBILE"])))+(((((data["DAYS_ID_PUBLISH"])+(data["te_FLAG_WORK_PHONE"])))-(data["ty__Car_loan"])))) /2.0)) / 2.0))
v["i33"] = np.tanh(((((( data["avg_buro_buro_bal_status_0"])<(-1.0)) *1.))-(np.maximum(((((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])* 2.0))),(((((np.minimum(((( 3.99197196960449219))),(( data["FLAG_DOCUMENT_16"])))) +(data["DAYS_ENDDATE_FACT"])) /2.0)))))))
v["i34"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0,(( 0.323944)-(data["AMT_ANNUITY_x"])) , np.minimum(((((data["AMT_ANNUITY_x"])+(0.323944)))) ,(((((1.105260)>(np.maximum(((data["FLAG_DOCUMENT_13"])) ,(( data["AMT_ANNUITY_x"])))))*1.))))))
v["i35"] = np.tanh(np.where(data["AMT_GOODS_PRICE_x"]>0,(-1.0*(( data["AMT_GOODS_PRICE_x"]))),(( data["AMT_GOODS_PRICE_x"])+(((( 0.036585)>(((np.maximum(((np.tanh(( data["AMT_GOODS_PRICE_x"])))) ,(( -2.0)))) -(data["CHANNEL_TYPE_AP___Cash_loan_"])))) *1.)))))
v["i36"] = np.tanh(((data["DAYS_EMPLOYED"])+(((((0.494118)+(data["DAYS_EMPLOYED"])))*(np.where(data["FLAG_DOCUMENT_8"]>0, 0.494118,(( 14.800000)*(1.857140))))))))
v["i37"] = np.tanh(np.minimum(((0.494118)) ,(( np.minimum(((((np.minimum(((( 1.0))),(((((data["te_NAME_INCOME_TYPE"])+(0.680000)) /2.0)))))+(data["AMT_CREDIT_x"])))) ,(((((np.tanh(( data["AMT_ANNUITY_x"])))>(data["AMT_CREDIT_x"])) *1.))))))))
v["i38"] = np.tanh(((((np.where(data["PRODUCT_COMBINATION_Cash_X_Sell__middle"]>0, data["CNT_PAYMENT"],(-1.0*(( np.maximum(((((data["CHANNEL_TYPE_AP___Cash_loan_"])*(data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])))) ,(((( data["AMT_REQ_CREDIT_BUREAU_QRT"])*(11.714300)))))))))) * 2.0)) -(data["AMT_REQ_CREDIT_BUREAU_QRT"])))
v["i39"] = np.tanh(((data["NAME_GOODS_CATEGORY_Direct_Sales"])-(((( np.maximum(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) ,(((( 0.494118)*(data["NAME_TYPE_SUITE_Unaccompanied"])))))) +(((( data["Active"])+(data["SK_ID_PREV_y"])) /2.0)))/2.0))))
v["i40"] = np.tanh(((((( 0.576923)-(np.maximum(((data["inst_NUM_INSTALMENT_VERSION"])) ,(((((data["NFLAG_INSURED_ON_APPROVAL"])<(((((data["SK_DPD"])* 2.0)) * 2.0)))*1.))))))) +(((( data["SK_DPD"])+(((data["NFLAG_INSURED_ON_APPROVAL"])/ 2.0)))/2.0)))/2.0))
v["i41"] = np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0, 11.714300,(((((data["inst_AMT_PAYMENT"])<(np.tanh(((-1.0*(( np.maximum(((np.minimum(((0.576923)) ,(( 0.680000))))),(((( data["te_REG_REGION_NOT_LIVE_REGION"])* 2.0)))))))))))*1.))* 2.0)))
v["i42"] = np.tanh(( -1.0*(((((data["FLAG_DOCUMENT_18"])+(((( np.minimum(((0.697674)) ,(((( np.tanh(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])<(data["cc_bal_SK_DPD_DEF"])) *1.))))-(data["te_FLAG_OWN_REALTY"])))))) <(data["te_OCCUPATION_TYPE"])) *1.))) /2.0)))))
v["i43"] = np.tanh(((((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])*(data["te_ORGANIZATION_TYPE"])))+(((((((data["cc_bal_AMT_TOTAL_RECEIVABLE"])+(data["te_ORGANIZATION_TYPE"])) /2.0)) +(np.where(data["cc_bal_AMT_BALANCE"]>0, data["te_CNT_CHILDREN"],(((data["FLAG_DOCUMENT_2"])+(data["cc_bal_AMT_TOTAL_RECEIVABLE"])) /2.0)))) /2.0)))/2.0))
v["i44"] = np.tanh(np.where(data["CNT_INSTALMENT_FUTURE"]>0,(((0.062500)>(( -1.0*(( data["te_WEEKDAY_APPR_PROCESS_START"])))))*1.) ,(( np.minimum(((data["ty__Mortgage"])) ,(( np.tanh(((-1.0*(((((data["ty__Mortgage"])>(data["cc_bal_SK_DPD_DEF"])) *1.))))))))))* 2.0)))
v["i45"] = np.tanh(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(( -1.0*(( data["CODE_GENDER"])))))/2.0)) +(np.where(data["CODE_GENDER"]>0,(((-1.0*(( data["PRODUCT_COMBINATION_Cash_X_Sell__low"])))) *(1.105260)) , data["DAYS_FIRST_DUE"])))/2.0))
v["i46"] = np.tanh(( -1.0*(((( np.tanh(((((((((data["avg_buro_buro_bal_status_0"])+(((((( data["avg_buro_buro_bal_status_0"])+(data["avg_buro_buro_bal_status_0"])))<(data["FLAG_DOCUMENT_13"])) *1.))) /2.0)) * 2.0)) -(0.043478)))))-(0.043478))))))
v["i47"] = np.tanh(((((((( data["FLAG_DOCUMENT_2"])-(np.minimum(((data["inst_AMT_PAYMENT"])) ,(((( 0.036585)* 2.0)))))))>(0.576923)) *1.))-(np.maximum(((data["YEARS_BUILD_MODE"])) ,(((((( data["inst_AMT_PAYMENT"])/ 2.0)) / 2.0)))))))
v["i48"] = np.tanh(np.where(data["AMT_CREDIT_x"]>0, 0.339286,(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])+(((( data["DEF_30_CNT_SOCIAL_CIRCLE"])+(((data["AMT_CREDIT_x"])+(((((( data["AMT_CREDIT_x"])>(data["NAME_YIELD_GROUP_high"])) *1.))-(data["NAME_YIELD_GROUP_high"])))))) /2.0)))/2.0)))
v["i49"] = np.tanh(((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((((-1.0*(((((((data["te_REG_REGION_NOT_LIVE_REGION"])+(data["te_LIVE_REGION_NOT_WORK_REGION"])) /2.0)) / 2.0)))))+(( -1.0*(((( np.maximum(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) ,(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))) / 2.0)))))) /2.0)))/2.0)) * 2.0))
v["i50"] = np.tanh(((((-1.0*(( data["CHANNEL_TYPE_Channel_of_corporate_sales"])))) +(np.minimum(((((3.0)-(data["PRODUCT_COMBINATION_Cash_Street__low"])))) ,(((-1.0*(((( data["AMT_CREDIT_SUM_LIMIT"])+(((( data["WEEKDAY_APPR_PROCESS_START_SATURDAY"])+(data["CHANNEL_TYPE_Channel_of_corporate_sales"])) /2.0)))))))))))/2.0))
v["i51"] = np.tanh(((((((((np.minimum(((data["EXT_SOURCE_2"])) ,(((( -2.0)*(data["EXT_SOURCE_2"])))))) -(-2.0)))*(data["EXT_SOURCE_2"])))* 2.0)) * 2.0))
v["i52"] = np.tanh(((np.minimum(((np.minimum(((( -1.0*(( data["FLAG_DOCUMENT_13"]))))),(( data["FLAG_DOCUMENT_13"]))))),(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) +(((( data["DAYS_LAST_PHONE_CHANGE"])>(np.tanh(((( 3.0)-(1.220590)))))) *1.))))
v["i53"] = np.tanh(((np.minimum(((np.minimum(((((data["FLAG_DOCUMENT_16"])*(data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])))) ,(((-1.0*(( data["FLAG_DOCUMENT_14"])))))))) ,(((( data["FLAG_DOCUMENT_16"])*(data["NAME_CLIENT_TYPE_Refreshed"])))))) * 2.0))
v["i54"] = np.tanh(np.minimum(((( -1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"]))))),(((((( np.where(data["cc_bal_cc_bal_status__Sent_proposal"]>0, data["cc_bal_cc_bal_status__Sent_proposal"],(((0.031746)+(np.where(data["NONLIVINGAPARTMENTS_MODE"]>0, data["NONLIVINGAPARTMENTS_MODE"], data["AMT_CREDIT_y"])))/2.0)))* 2.0)) * 2.0)))))
v["i55"] = np.tanh(((((((((((( data["Returned_to_the_store"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) -(data["ty__Mortgage"])))+(data["cc_bal_CNT_DRAWINGS_CURRENT"])) /2.0)) +(((data["HOUR_APPR_PROCESS_START_y"])*(((((data["Returned_to_the_store"])* 2.0)) * 2.0)))))/2.0))
v["i56"] = np.tanh(((np.where(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"]>0,(((((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])>(0.323944)) *1.))*(((0.686567)-(data["REGION_POPULATION_RELATIVE"])))) , 2.235290)) *(((data["REGION_POPULATION_RELATIVE"])+(0.323944)))))
v["i57"] = np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0, 1.105260,(((((( data["FLAG_DOCUMENT_2"])/ 2.0)) -(((((-1.0*(((((data["ca__Sold"])+(data["FLAG_WORK_PHONE"])) /2.0)))))+(np.tanh(( data["Active"])))) /2.0)))) / 2.0)))
v["i58"] = np.tanh(( -1.0*(( np.maximum(((data["FLAG_DOCUMENT_11"])) ,(( np.maximum(((((data["FLAG_DOCUMENT_18"])/ 2.0))),(((((((np.minimum(((data["FLAG_DOCUMENT_18"])) ,(((( data["AMT_REQ_CREDIT_BUREAU_MON"])*(data["FLAG_DOCUMENT_18"])))))) / 2.0)) <(data["NAME_GOODS_CATEGORY_Gardening"])) *1.)))))))))))
v["i59"] = np.tanh(np.where(((( 1.0)>(((( 0.043478)<(((data["NAME_GOODS_CATEGORY_Direct_Sales"])-(data["SK_DPD"])))) *1.))) *1.) >0, 3.526320, np.minimum(((data["te_NAME_HOUSING_TYPE"])) ,(( 0.043478)))))
v["i60"] = np.tanh(((data["cc_bal_SK_DPD_DEF"])-(((((( 0.697674)+(data["HOUSETYPE_MODE"])) /2.0)) *(((((( data["NONLIVINGAPARTMENTS_MODE"])+(data["HOUSETYPE_MODE"])) /2.0)) *(data["nans"])))))))
v["i61"] = np.tanh(((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((np.minimum(((data["FLAG_DOCUMENT_2"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) +(np.tanh(((((np.where(data["inst_SK_ID_PREV"]>0, 0.680000, data["SK_ID_PREV_y"])) <(( -1.0*(( 0.697674)))))*1.))))))))
v["i62"] = np.tanh(np.minimum(((((data["SK_ID_PREV_x"])*(((data["CNT_INSTALMENT_FUTURE"])* 2.0))))),(((((((np.where(data["CNT_INSTALMENT_FUTURE"]>0,(( data["SK_ID_PREV_x"])/ 2.0), data["CODE_REJECT_REASON_SCO"])) *(data["SK_ID_PREV_x"])))+(data["CNT_PAYMENT"])) /2.0)))))
v["i63"] = np.tanh(np.minimum(((0.494118)) ,(( np.maximum(((data["te_NAME_FAMILY_STATUS"])) ,(((((data["PRODUCT_COMBINATION_Card_X_Sell"])+(((((((((( data["te_NAME_FAMILY_STATUS"])* 2.0)) *(data["PRODUCT_COMBINATION_Card_X_Sell"])))+(data["REG_CITY_NOT_LIVE_CITY"])))+(data["REG_CITY_NOT_LIVE_CITY"])) /2.0)))/2.0))))))))
v["i64"] = np.tanh(((((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])<(((1.220590)-(2.0)))) *1.))-(((((( data["cc_bal_cc_bal_status__Sent_proposal"])+(((( data["SK_ID_PREV_y"])+(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) /2.0)))/2.0)) *(((2.0)/ 2.0))))))
v["i65"] = np.tanh(((data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])+(((((data["AMT_CREDIT_y"])*(((( 0.680000)<(((((-1.0)* 2.0)) +(data["AMT_CREDIT_y"])))) *1.))))*(((data["AMT_CREDIT_y"])+(data["AMT_CREDIT_y"])))))))
v["i66"] = np.tanh(((( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["FLAG_DOCUMENT_6"],(((( -1.0*(( data["FLAG_DOCUMENT_11"])))) +(data["SK_ID_PREV_x"])) /2.0)))+(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(-1.0*(( data["te_FLAG_DOCUMENT_6"]))), data["cc_bal_CNT_DRAWINGS_CURRENT"])))/2.0))
v["i67"] = np.tanh(((data["EXT_SOURCE_3"])-(((0.494118)-(((((data["EXT_SOURCE_3"])+(((data["EXT_SOURCE_3"])+(2.0)))))*(data["EXT_SOURCE_3"])))))))
v["i68"] = np.tanh(((np.minimum(((((( data["NAME_CONTRACT_STATUS_Approved"])<(data["ca__Closed"])) *1.))) ,(((-1.0*(( np.where(((( data["ca__Closed"])<(1.220590)) *1.) >0, data["ca__Closed"], data["inst_AMT_PAYMENT"])))))))) * 2.0))
v["i69"] = np.tanh(((((( data["CODE_REJECT_REASON_XAP"])/ 2.0)) +(np.where(((( data["CODE_REJECT_REASON_XAP"])>(0.576923)) *1.) >0,(((data["SK_ID_BUREAU"])<(((-2.0)/ 2.0)))*1.) , data["SK_ID_BUREAU"])))/2.0))
v["i70"] = np.tanh(((((( 0.697674)* 2.0)) +(((((( 6.0)) * 2.0)) *(np.where(data["AMT_CREDIT_SUM_DEBT"]>0, 11.714300, data["AMT_CREDIT_SUM_DEBT"])))))/2.0))
v["i71"] = np.tanh(((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])<(( -1.0*(((( data["AMT_CREDIT_SUM"])+(np.where(( -1.0*(( data["cc_bal_SK_DPD_DEF"])))>0, 0.416667, np.tanh(( 0.416667)))))))))) *1.))*(2.235290)))
v["i72"] = np.tanh(((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((data["Returned_to_the_store"])*(np.maximum(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])) ,(( 0.680000))))),(((((( np.maximum(((data["ty__Car_loan"])) ,(( data["Returned_to_the_store"])))) * 2.0)) * 2.0)))))))))
v["i73"] = np.tanh(((((((((((( -1.0*(((((1.105260)<(data["NAME_EDUCATION_TYPE"])) *1.))))) -(data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])))*(data["NAME_EDUCATION_TYPE"])))-(data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])))*(data["NAME_EDUCATION_TYPE"])))-(data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])))
v["i74"] = np.tanh(((((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])+(((((((( data["FLAG_DOCUMENT_2"])-(((( data["DAYS_LAST_DUE_1ST_VERSION"])+(( -1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))/2.0)))) * 2.0)) +(((data["SK_DPD"])+(data["REGION_RATING_CLIENT_W_CITY"])))) /2.0)))/2.0)) / 2.0))
v["i75"] = np.tanh(((( -1.0*(((((data["cc_bal_SK_DPD_DEF"])<(data["ty__Mortgage"])) *1.))))) -(((((np.minimum(((data["YEARS_BEGINEXPLUATATION_MODE"])) ,(((((data["ty__Mortgage"])>(data["YEARS_BEGINEXPLUATATION_MODE"])) *1.))))) * 2.0)) * 2.0))))
v["i76"] = np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0,(((( data["DAYS_LAST_DUE"])-(data["DAYS_FIRST_DUE"])))-(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) ,(((((( data["DAYS_FIRST_DUE"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) >(1.220590)) *1.)))
v["i77"] = np.tanh(((np.where(data["AMT_REQ_CREDIT_BUREAU_DAY"]>0, data["AMT_REQ_CREDIT_BUREAU_DAY"],(( data["cc_bal_AMT_TOTAL_RECEIVABLE"])*(((np.where(data["cc_bal_AMT_TOTAL_RECEIVABLE"]>0, data["AMT_REQ_CREDIT_BUREAU_DAY"], 0.686567)) +(data["MONTHS_BALANCE"])))))) -(data["FLAG_DOCUMENT_15"])))
v["i78"] = np.tanh(((((( np.where(((data["cc_bal_SK_DPD_DEF"])-(data["FLAG_DOCUMENT_2"])) >0, data["inst_AMT_PAYMENT"], data["te_FLAG_DOCUMENT_20"])) <(((-1.0)-(( -1.0*(((((0.031746)+(1.0)) /2.0)))))))) *1.))/ 2.0))
v["i79"] = np.tanh(np.minimum(((( -1.0*(((((((( 1.27607381343841553)) <(data["NAME_YIELD_GROUP_high"])) *1.))/ 2.0)))))) ,(((((( data["AMT_CREDIT_x"])+(0.797872)))+(((data["AMT_CREDIT_x"])+(0.797872))))))))
v["i80"] = np.tanh(((((((((1.0)-(data["NAME_CONTRACT_STATUS_Canceled"])))<(data["CHANNEL_TYPE_AP___Cash_loan_"])) *1.))<(np.where(np.tanh(( data["NAME_CONTRACT_STATUS_Canceled"])) >0, data["CHANNEL_TYPE_AP___Cash_loan_"],(((((data["NONLIVINGAPARTMENTS_MODE"])+(data["CHANNEL_TYPE_AP___Cash_loan_"])) /2.0)) / 2.0)))) *1.))
v["i81"] = np.tanh(np.where(data["PRODUCT_COMBINATION_Cash_Street__low"]>0, np.where(((( data["FLAG_DOCUMENT_2"])<(data["ty__Microloan"])) *1.) >0, data["PRODUCT_COMBINATION_Cash_Street__low"], -2.0),(((data["NAME_GOODS_CATEGORY_Construction_Materials"])>(data["cc_bal_SK_DPD_DEF"])) *1.)))
v["i82"] = np.tanh(((((np.minimum(((0.0)) ,(( data["FLAG_DOCUMENT_14"])))) -(((data["FLAG_DOCUMENT_14"])-(((( data["te_ORGANIZATION_TYPE"])>(((((( 2.0)+(data["te_NAME_CONTRACT_TYPE"])))+(3.0)) /2.0)))*1.))))))* 2.0))
v["i83"] = np.tanh(np.maximum(((data["FLAG_DOCUMENT_2"])) ,(( np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( np.maximum(((((((( 0.036585)<(data["cc_bal_SK_DPD_DEF"])) *1.))* 2.0))),(((( data["ty__Microloan"])-(((((6.0)) +(( 6.0)))/2.0)))))))))))))
v["i84"] = np.tanh(((((0.0)-(((data["NAME_SELLER_INDUSTRY_Connectivity"])*(((data["avg_buro_MONTHS_BALANCE"])*(data["NAME_SELLER_INDUSTRY_Connectivity"])))))))*(((((((data["NAME_SELLER_INDUSTRY_Connectivity"])<(data["avg_buro_MONTHS_BALANCE"])) *1.))<(data["NAME_SELLER_INDUSTRY_Connectivity"])) *1.))))
v["i85"] = np.tanh(np.minimum(((( -1.0*(( data["NAME_GOODS_CATEGORY_Sport_and_Leisure"]))))),(((((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])+(data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])))*(data["WEEKDAY_APPR_PROCESS_START_TUESDAY"]))))))
v["i86"] = np.tanh(((((( 2.0)-(1.0)))<(np.where(data["CNT_INSTALMENT_FUTURE"]>0,(((((data["cc_bal_SK_DPD"])-(((data["DAYS_FIRST_DUE"])/ 2.0)))) +(data["CNT_INSTALMENT_FUTURE"])) /2.0), data["DAYS_FIRST_DUE"])))*1.))
v["i87"] = np.tanh(((( -1.0*(((((((( np.minimum(((data["cc_bal_SK_DPD"])) ,(((-1.0*(( data["inst_AMT_PAYMENT"])))))))+(np.minimum(((data["NAME_SELLER_INDUSTRY_Connectivity"])) ,(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0)))))) /2.0)) <(data["inst_AMT_PAYMENT"])) *1.))))) *(data["MONTHS_BALANCE"])))
v["i88"] = np.tanh(((((((2.0)<(data["NAME_SELLER_INDUSTRY_Connectivity"])) *1.))+(((((( data["RATE_DOWN_PAYMENT"])>(data["cc_bal_SK_DPD"])) *1.))*(( -1.0*(((( 0.680000)-(((0.043478)* 2.0)))))))))) /2.0))
v["i89"] = np.tanh(( -1.0*(( np.maximum(((((data["FLAG_DOCUMENT_13"])* 2.0))),(((((( 0.062500)+(data["NAME_TYPE_SUITE_Children"])))+(((data["NAME_CLIENT_TYPE_Refreshed"])+(-3.0)))))))))))
v["i90"] = np.tanh(((np.where(data["NONLIVINGAPARTMENTS_MODE"]>0, np.maximum(((((((data["NONLIVINGAPARTMENTS_MODE"])* 2.0)) *(((( data["NONLIVINGAPARTMENTS_MODE"])>(2.235290)) *1.))))) ,(( data["cc_bal_SK_DPD"]))), data["NONLIVINGAPARTMENTS_MODE"])) -(data["NONLIVINGAPARTMENTS_MODE"])))
v["i91"] = np.tanh(np.maximum(((((((((data["DAYS_LAST_DUE"])>(((( data["LIVINGAPARTMENTS_MEDI"])<(0.323944)) *1.))) *1.))>(((( data["LIVINGAPARTMENTS_MEDI"])<(( -1.0*(( data["cc_bal_SK_DPD_DEF"])))))*1.))) *1.))) ,(((-1.0*(( data["cc_bal_SK_DPD_DEF"])))))))
v["i92"] = np.tanh(((14.800000)*(((( data["ENTRANCES_MEDI"])<(( -1.0*(( np.where(data["PRODUCT_COMBINATION_Card_X_Sell"]>0, 0.686567,(( 0.686567)+(((0.697674)+(3.526320)))))))))) *1.))))
v["i93"] = np.tanh(np.minimum(((data["cc_bal_SK_DPD"])) ,(((((((-1.0*(((((data["FLAG_DOCUMENT_15"])+(((( data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])+(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])/ 2.0)))/2.0)))/2.0)))))-(0.036585)))+(1.0))))))
v["i94"] = np.tanh(np.minimum(((((data["ty__Another_type_of_loan"])-(((((((data["ty__Another_type_of_loan"])* 2.0)) * 2.0)) * 2.0))))),(((((np.tanh(((((( data["REGION_POPULATION_RELATIVE"])* 2.0)) * 2.0)))) +(0.494118)) /2.0)))))
v["i95"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["FLAG_DOCUMENT_16"],(((( data["cu__currency_3"])-(np.maximum(((data["cc_bal_cc_bal_status__Sent_proposal"])) ,(((((data["FONDKAPREMONT_MODE"])>(1.0)) *1.))))))) -(data["FLAG_DOCUMENT_16"]))))
v["i96"] = np.tanh(np.maximum(((((( np.minimum(((data["te_WEEKDAY_APPR_PROCESS_START"])) ,(( 0.043478)))) +(np.maximum(((( -1.0*(( data["FLAG_CONT_MOBILE"]))))),(((( data["FLAG_DOCUMENT_2"])/ 2.0)))))) /2.0))),(((((-1.0)+(data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])) /2.0)))))
v["i97"] = np.tanh(( -1.0*(( np.where(((1.220590)-(np.maximum(((((( data["NAME_GOODS_CATEGORY_Gardening"])+(data["inst_NUM_INSTALMENT_VERSION"])) /2.0))),(( data["FLAG_DOCUMENT_11"])))))>0, data["FLAG_DOCUMENT_16"],(7.99752998352050781))))))
v["i98"] = np.tanh(((np.minimum(((np.maximum(((((((((-1.0*(( 0.576923)))) / 2.0)) >(data["AMT_CREDIT_y"])) *1.))) ,(( data["NAME_SELLER_INDUSTRY_Auto_technology"]))))),(((( data["AMT_CREDIT_y"])-(( -1.0*(( 0.576923)))))))))*(2.0)))
v["i99"] = np.tanh(((((( data["Active"])>(0.576923)) *1.))*(((data["Active"])*(((( -1.0*(((( np.minimum(((data["Active"])) ,(( data["CNT_INSTALMENT"])))) +(0.323944)))))) * 2.0))))))
v["i100"] = np.tanh(np.where(data["AMT_CREDIT_y"]>0,(( data["CNT_INSTALMENT_FUTURE"])*(np.maximum(((((( data["AMT_CREDIT_y"])>(1.105260)) *1.))) ,(((( 0.043478)*(data["CNT_INSTALMENT_FUTURE"]))))))),(((data["NAME_YIELD_GROUP_XNA"])>(1.105260)) *1.)))
v["i101"] = np.tanh(np.minimum(((0.686567)) ,(( np.minimum(((((data["FLAG_EMAIL"])*(data["inst_AMT_PAYMENT"])))) ,(((( 1.857140)-(data["NAME_CONTRACT_STATUS_Canceled"])))))))))
v["i102"] = np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0, data["FLAG_PHONE"],(( data["AMT_CREDIT_y"])*(((((( 0.576923)<(np.where(data["ca__Sold"]>0, data["AMT_CREDIT_y"], data["cc_bal_SK_DPD_DEF"])))*1.))* 2.0)))))
v["i103"] = np.tanh(((((((( data["PRODUCT_COMBINATION_POS_household_without_interest"])>(((( data["PRODUCT_COMBINATION_POS_household_without_interest"])<(((data["FLAG_PHONE"])/ 2.0)))*1.))) *1.))/ 2.0)) +(((((data["FLAG_PHONE"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))* 2.0))))
v["i104"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["FLAG_DOCUMENT_6"],(((((( np.tanh(( data["FLAG_DOCUMENT_6"])))+(((((data["FLAG_DOCUMENT_2"])-(((0.0)-(data["NAME_GOODS_CATEGORY_Insurance"])))))* 2.0)))/2.0)) +(data["cc_bal_SK_DPD_DEF"])) /2.0)))
v["i105"] = np.tanh(( -1.0*(((( data["SK_ID_PREV_y"])*(((((((data["te_ORGANIZATION_TYPE"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)) +(((((( data["te_ORGANIZATION_TYPE"])+(data["FLAG_DOCUMENT_2"])) /2.0)) *(( -1.0*(( data["te_FLAG_DOCUMENT_20"])))))))/2.0)))))))
v["i106"] = np.tanh(( -1.0*(((((0.576923)>(((((( np.minimum(((np.minimum(((data["te_NAME_INCOME_TYPE"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"]))))),(( 0.043478)))) -(data["SK_ID_PREV_y"])))+(( 3.83449053764343262)))/2.0)))*1.)))))
v["i107"] = np.tanh(( -1.0*(((( np.maximum(((data["NAME_SELLER_INDUSTRY_MLM_partners"])) ,(((((1.105260)<(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])) *1.))))) * 2.0)))))
v["i108"] = np.tanh(((np.where(((( data["NAME_SELLER_INDUSTRY_Connectivity"])+(0.494118)) /2.0)>0,(( data["te_NAME_INCOME_TYPE"])/ 2.0), 0.043478)) *(((0.323944)+(((( data["te_FLAG_DOCUMENT_20"])+(data["te_FLAG_DOCUMENT_3"])) /2.0))))))
v["i109"] = np.tanh(((np.maximum(((((((((((data["FLAG_DOCUMENT_2"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) * 2.0)) +(((data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0)))/2.0))),(((( data["cu__currency_3"])* 2.0)))))*(((((data["te_FLAG_DOCUMENT_20"])* 2.0)) * 2.0))))
v["i110"] = np.tanh(((( 0.323944)+(np.minimum(((np.minimum(((np.tanh(( data["WEEKDAY_APPR_PROCESS_START_MONDAY"])))) ,(((( 0.697674)* 2.0)))))) ,(((( data["CODE_REJECT_REASON_VERIF"])*(((((data["FLAG_DOCUMENT_17"])*(data["CODE_REJECT_REASON_VERIF"])))/ 2.0)))))))) /2.0))
v["i111"] = np.tanh(np.tanh(( np.where(((((((((( 0.494118)+(data["DAYS_CREDIT_ENDDATE"])) /2.0)) <(( 0.0)))*1.))>(0.031746)) *1.) >0, 11.714300, np.minimum(((0.494118)) ,(( data["DAYS_CREDIT_ENDDATE"])))))))
v["i112"] = np.tanh(((( -1.0*(( np.where(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])/ 2.0)>0,(((-1.0*(( data["avg_buro_buro_count"])))) / 2.0),(((data["avg_buro_buro_count"])>(((( 2.235290)>(((data["CODE_REJECT_REASON_SCO"])/ 2.0)))*1.))) *1.))))))* 2.0))
v["i113"] = np.tanh(((((((((-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])))) +(((data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])*(((((data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])+(np.maximum(((data["AMT_REQ_CREDIT_BUREAU_YEAR"])) ,(((( 0.043478)/ 2.0)))))))* 2.0)))))/2.0)) * 2.0)) * 2.0))
v["i114"] = np.tanh(((np.where(data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"]>0, np.where(data["PRODUCT_COMBINATION_Cash"]>0,(-1.0*(( data["avg_buro_buro_bal_status_X"]))), data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"]), data["PRODUCT_COMBINATION_Cash"])) / 2.0))
v["i115"] = np.tanh(((data["AMT_CREDIT_y"])*(np.where(0.494118>0,(((data["cc_bal_SK_DPD_DEF"])>(((((data["FLAG_DOCUMENT_17"])+(0.797872)))+(np.tanh(( data["AMT_CREDIT_x"])))))) *1.) , data["AMT_CREDIT_x"]))))
v["i116"] = np.tanh(np.where(data["FLAG_DOCUMENT_2"]>0, 3.0,(( data["NAME_CONTRACT_STATUS_Canceled"])*(((((data["NAME_CONTRACT_STATUS_Canceled"])*(data["NAME_CONTRACT_STATUS_Canceled"])))*(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))))))
v["i117"] = np.tanh(((data["FLAG_DOCUMENT_2"])-(((data["AMT_GOODS_PRICE_x"])*(((1.105260)*(((((((((0.062500)<(data["PRODUCT_COMBINATION_Cash"])) *1.))*(0.323944)))<(data["PRODUCT_COMBINATION_Cash"])) *1.))))))))
v["i118"] = np.tanh(np.where(data["AMT_CREDIT_x"]>0, np.where(data["AMT_ANNUITY_x"]>0,(((data["AMT_ANNUITY_x"])>(np.minimum(((0.494118)) ,(( data["AMT_CREDIT_x"])))))*1.) , -2.0),(((data["NAME_GOODS_CATEGORY_Direct_Sales"])>(0.043478)) *1.)))
v["i119"] = np.tanh(((((((data["FLAG_EMP_PHONE"])+(0.339286)))*(((((((( 8.0)) *(((data["FLAG_EMP_PHONE"])+(data["DAYS_EMPLOYED"])))))* 2.0)) * 2.0)))) * 2.0))
v["i120"] = np.tanh(((( -1.0*(((((0.680000)<(((( data["DAYS_BIRTH"])+(0.062500)) /2.0)))*1.))))) * 2.0))
v["i121"] = np.tanh(((( 0.062500)+(( -1.0*(((((data["LIVE_CITY_NOT_WORK_CITY"])>(np.minimum(((((data["cc_bal_SK_DPD_DEF"])+(((data["DAYS_EMPLOYED"])-(data["NAME_GOODS_CATEGORY_Insurance"])))))) ,(( 0.416667)))))*1.))))))/2.0))
v["i122"] = np.tanh(np.where(((( data["SK_ID_BUREAU"])>(2.0)) *1.) >0, data["SK_ID_BUREAU"],(((data["DAYS_ID_PUBLISH"])>(((((((0.0)+(3.526320)) /2.0)) +(data["DAYS_ID_PUBLISH"])) /2.0)))*1.)))
v["i123"] = np.tanh(((((data["te_FLAG_WORK_PHONE"])*(((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])>(data["FLAG_DOCUMENT_2"])) *1.))))+(((((0.339286)*(np.minimum(((((data["te_FLAG_WORK_PHONE"])-(data["te_REG_REGION_NOT_LIVE_REGION"])))) ,(( data["NAME_CONTRACT_STATUS_Approved"])))))) / 2.0))))
v["i124"] = np.tanh(np.where(data["REGION_RATING_CLIENT_W_CITY"]>0,(((((0.036585)/ 2.0)) +(((( data["FLAG_DOCUMENT_2"])>(((( data["cc_bal_SK_DPD_DEF"])+(data["NAME_TYPE_SUITE_Unaccompanied"])) /2.0)))*1.))) /2.0),(((data["NAME_HOUSING_TYPE"])>(( -1.0*(( -3.0)))))*1.)))
v["i125"] = np.tanh(( -1.0*(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["te_OCCUPATION_TYPE"],(( data["te_OCCUPATION_TYPE"])*(((((((data["AMT_REQ_CREDIT_BUREAU_MON"])>(0.686567)) *1.))<(np.tanh(( data["AMT_REQ_CREDIT_BUREAU_MON"])))) *1.))))))))
v["i126"] = np.tanh(( -1.0*(( np.minimum(((((data["EXT_SOURCE_1"])+(((data["EXT_SOURCE_1"])+(((((( 1.0)* 2.0)) +(3.0)) /2.0))))))),(((((np.tanh(( data["EXT_SOURCE_1"])))>(data["EXT_SOURCE_1"])) *1.))))))))
v["i127"] = np.tanh(np.where(((( data["DAYS_BIRTH"])>(1.105260)) *1.) >0,(( 1.105260)-(data["DAYS_BIRTH"])) , np.where(data["te_NAME_INCOME_TYPE"]>0, data["DAYS_BIRTH"], np.tanh(( 0.031746)))))
v["i128"] = np.tanh(np.tanh(( np.minimum(((0.576923)) ,(( np.where(((((((( data["FLAG_DOCUMENT_3"])-(( -1.0*(( data["DAYS_ID_PUBLISH"])))))) +(0.416667)) /2.0)) / 2.0)>0, 0.416667, data["DAYS_ID_PUBLISH"])))))))
v["i129"] = np.tanh(((((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(np.tanh(( data["NAME_CONTRACT_TYPE"])))) /2.0)) *(((data["CNT_FAM_MEMBERS"])+(((data["NAME_GOODS_CATEGORY_Clothing_and_Accessories"])*(((data["te_NAME_CONTRACT_TYPE"])-(data["FLAG_DOCUMENT_17"])))))))))
v["i130"] = np.tanh(np.minimum(((((np.minimum(((data["FLAG_DOCUMENT_2"])) ,(((( data["AMT_CREDIT_x"])/ 2.0)))))*(data["AMT_REQ_CREDIT_BUREAU_MON"])))) ,(((((((( 0.697674)+(((0.339286)+(data["AMT_CREDIT_x"])))))* 2.0)) * 2.0)))))
v["i131"] = np.tanh(((np.minimum(((((np.where(data["AMT_GOODS_PRICE_x"]>0, 3.526320, data["AMT_GOODS_PRICE_x"])) *(data["FLAG_DOCUMENT_17"])))) ,(((((( data["AMT_GOODS_PRICE_x"])* 2.0)) -(np.minimum(((-2.0)) ,(( data["FLAG_DOCUMENT_21"])))))))))* 2.0))
v["i132"] = np.tanh(((np.where(data["NAME_CLIENT_TYPE_Repeater"]>0, np.maximum(((0.062500)) ,(( data["FLAG_DOCUMENT_21"]))),(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(0.036585)))-(((data["FLAG_DOCUMENT_21"])+(0.036585)))))) * 2.0))
v["i133"] = np.tanh(((((((-1.0*(((((((0.797872)/ 2.0)) >(((( -1.0*(( data["AMT_GOODS_PRICE_x"])))) * 2.0)))*1.))))) +(((( 1.220590)<(data["FLAG_DOCUMENT_5"])) *1.))) /2.0)) +(data["cc_bal_SK_DPD_DEF"])))
v["i134"] = np.tanh(((( data["AMT_CREDIT_x"])>(((0.797872)*(((( np.minimum(((0.323944)) ,(((((((data["AMT_CREDIT_x"])/ 2.0)) +(0.339286)) /2.0)))))<(data["AMT_CREDIT_x"])) *1.))))) *1.))
v["i135"] = np.tanh(( -1.0*(((( data["FLAG_DOCUMENT_15"])+(((( data["AMT_GOODS_PRICE_x"])>(((0.697674)+(np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(((((0.12030962109565735)) -(data["AMT_GOODS_PRICE_x"])))))))))*1.)))))))
v["i136"] = np.tanh(((14.800000)*(((data["AMT_CREDIT_x"])-(((data["AMT_GOODS_PRICE_x"])-(((((((3.25225424766540527)) <(data["AMT_CREDIT_x"])) *1.))/ 2.0))))))))
v["i137"] = np.tanh(((((((( data["te_NAME_CONTRACT_TYPE"])<(((((( data["NAME_YIELD_GROUP_low_normal"])/ 2.0)) <(data["NAME_CONTRACT_TYPE"])) *1.))) *1.))/ 2.0)) *(((data["NAME_CONTRACT_TYPE"])+(np.tanh(( data["FLAG_WORK_PHONE"])))))))
v["i138"] = np.tanh(((((((( 0.797872)*(data["AMT_CREDIT_x"])))+(((data["Completed"])/ 2.0)))) >(((((((( -1.0*(( data["AMT_CREDIT_x"])))) >(((data["Completed"])/ 2.0)))*1.))<(data["te_FLAG_DOCUMENT_8"])) *1.))) *1.))
v["i139"] = np.tanh(((((((np.maximum(((((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])+(1.857140)) /2.0))),(( data["inst_AMT_PAYMENT"])))) <(0.576923)) *1.))>(((( data["cc_bal_SK_DPD_DEF"])>(((data["FLAG_DOCUMENT_2"])*(1.857140)))) *1.))) *1.))
v["i140"] = np.tanh(((((((((((( data["EXT_SOURCE_2"])<(( -1.0*(( 2.235290)))))*1.))* 2.0)) * 2.0)) +(np.tanh(( data["EXT_SOURCE_2"])))))/ 2.0))
v["i141"] = np.tanh(( -1.0*(((((data["AMT_GOODS_PRICE_x"])>(((((((((( 0.576923)/ 2.0)) <(data["AMT_GOODS_PRICE_x"])) *1.))* 2.0)) -(np.maximum(((((0.416667)/ 2.0))),(( data["AMT_GOODS_PRICE_x"])))))))*1.)))))
v["i142"] = np.tanh(((np.tanh(((((((((((data["AMT_GOODS_PRICE_x"])>(0.797872)) *1.))<(np.tanh(( data["AMT_GOODS_PRICE_x"])))) *1.))<(((( data["DAYS_LAST_DUE_1ST_VERSION"])<(np.tanh(( data["AMT_GOODS_PRICE_x"])))) *1.))) *1.))))/ 2.0))
v["i143"] = np.tanh(np.where(data["NAME_CONTRACT_STATUS_Refused"]>0,(-1.0*(((((data["CODE_REJECT_REASON_HC"])>(3.0)) *1.)))),(( 0.339286)*(((( 0.576923)<(((( data["ty__Consumer_credit"])>(0.797872)) *1.))) *1.)))))
v["i144"] = np.tanh(((np.minimum(((np.where(data["NAME_GOODS_CATEGORY_Computers"]>0,(( data["AMT_CREDIT_y"])/ 2.0),(((((data["AMT_CREDIT_y"])<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))/ 2.0)))) ,(( np.where(data["NAME_GOODS_CATEGORY_Computers"]>0, data["AMT_CREDIT_y"], data["YEARS_BUILD_AVG"])))))/ 2.0))
v["i145"] = np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Furniture"]>0,(((data["FLAG_DOCUMENT_14"])+(data["FLAG_DOCUMENT_18"])) /2.0), np.minimum(((( -1.0*(((((data["FLAG_DOCUMENT_18"])+(((data["FLAG_DOCUMENT_14"])+(data["FLAG_DOCUMENT_17"])))) /2.0)))))) ,(((-1.0*(( data["FLAG_DOCUMENT_18"]))))))))
v["i146"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["FLAG_DOCUMENT_18"],(( data["cc_bal_SK_DPD_DEF"])-(((data["FLAG_DOCUMENT_18"])*(((data["te_FLAG_DOCUMENT_14"])+(np.minimum(((((data["te_FLAG_DOCUMENT_14"])* 2.0))),(( data["FLAG_DOCUMENT_18"])))))))))))
v["i147"] = np.tanh(((((( np.tanh(((( data["ca__Bad_debt"])+(np.tanh(( 1.857140)))))))<(data["AMT_DOWN_PAYMENT"])) *1.))+(np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((((data["te_FLAG_DOCUMENT_18"])+(( -1.0*(( data["AMT_DOWN_PAYMENT"])))))/2.0)))))))
v["i148"] = np.tanh(np.where(((( 0.680000)<(data["AMT_DOWN_PAYMENT"])) *1.) >0,(( data["AMT_DOWN_PAYMENT"])/ 2.0),(( data["NAME_GOODS_CATEGORY_Insurance"])-(((np.maximum(((np.tanh(( data["SK_DPD"])))) ,(( data["AMT_DOWN_PAYMENT"])))) / 2.0)))))
v["i149"] = np.tanh(((((data["MONTHS_BALANCE"])*(((3.526320)* 2.0)))) *(((data["NAME_GOODS_CATEGORY_Insurance"])+(( -1.0*(((((((data["inst_AMT_PAYMENT"])* 2.0)) >(((( data["ca__Bad_debt"])+(11.714300)) /2.0)))*1.)))))))))
v["i150"] = np.tanh(((((( -1.0)+(((1.857140)/ 2.0)))) <(np.where(data["SK_DPD"]>0, -1.0, np.tanh(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, 1.857140, data["SK_DPD"])))))) *1.))
v["i151"] = np.tanh(( -1.0*(((((((data["inst_SK_ID_PREV"])>(((( np.tanh(( 0.697674)))+(np.minimum(((((0.697674)+(((((data["inst_SK_ID_PREV"])* 2.0)) * 2.0))))),(( data["HOUSETYPE_MODE"])))))/2.0)))*1.))/ 2.0)))))
v["i152"] = np.tanh(((((((0.031746)*(((np.maximum(((( -1.0*(( data["WALLSMATERIAL_MODE"]))))),(( 0.686567)))) -(data["WALLSMATERIAL_MODE"])))))*(np.maximum(((( -1.0*(( data["EXT_SOURCE_2"]))))),(( data["SK_DPD"])))))) * 2.0))
v["i153"] = np.tanh(((((((data["CNT_INSTALMENT_FUTURE"])>(((np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(( data["NAME_GOODS_CATEGORY_Fitness"])))) * 2.0)))*1.))+(((((( data["CNT_INSTALMENT_FUTURE"])>(3.0)) *1.))-(((data["FLAG_DOCUMENT_17"])* 2.0)))))/2.0))
v["i154"] = np.tanh(((np.where(data["NAME_TYPE_SUITE_Unaccompanied"]>0,(( data["FLAG_DOCUMENT_21"])+(data["FLAG_DOCUMENT_21"])) ,(( 0.043478)+(((( data["FLAG_DOCUMENT_21"])>(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["SK_DPD"], 0.576923)))*1.))))) * 2.0))
v["i155"] = np.tanh(np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(((( data["SK_DPD"])-(((((((data["SK_DPD"])* 2.0)) *(data["cc_bal_cc_bal_status__Sent_proposal"])))-(((1.0)-(((11.714300)* 2.0)))))))))))
v["i156"] = np.tanh(np.where(data["NAME_FAMILY_STATUS"]>0, data["DAYS_EMPLOYED"], np.where(data["NONLIVINGAPARTMENTS_MODE"]>0, data["DAYS_EMPLOYED"], np.minimum(((0.697674)) ,(( np.where(data["DAYS_EMPLOYED"]>0, data["AMT_CREDIT_x"], 0.031746)))))))
v["i157"] = np.tanh(np.where(data["te_NAME_INCOME_TYPE"]>0, np.where(data["NONLIVINGAPARTMENTS_MODE"]>0, data["te_FLAG_WORK_PHONE"], np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["te_NAME_INCOME_TYPE"], 0.043478)) , np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["te_NAME_INCOME_TYPE"], data["NONLIVINGAPARTMENTS_MODE"])))
v["i158"] = np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0,(( data["cc_bal_cc_bal_status__Sent_proposal"])-(0.323944)) , np.minimum(((((data["NONLIVINGAREA_MODE"])*(( -1.0*(( 0.323944))))))),(((-1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"]))))))))
v["i159"] = np.tanh(((((((( np.where(( -1.0*(( data["cc_bal_SK_DPD_DEF"])))>0, data["ORGANIZATION_TYPE"],(( data["NAME_GOODS_CATEGORY_Fitness"])/ 2.0)))-(-3.0)))<(data["ORGANIZATION_TYPE"])) *1.))* 2.0))
v["i160"] = np.tanh(((((( -1.0*(((-1.0*(((( data["NAME_GOODS_CATEGORY_Fitness"])*(((data["FLAG_DOCUMENT_13"])-(((data["HOUSETYPE_MODE"])+(data["NONLIVINGAPARTMENTS_MODE"])))))))))))))* 2.0)) * 2.0))
v["i161"] = np.tanh(np.where(data["WALLSMATERIAL_MODE"]>0,(((((-1.0*(( 0.062500)))) *(((data["WALLSMATERIAL_MODE"])+(data["NAME_GOODS_CATEGORY_Fitness"])))))* 2.0), 0.062500))
v["i162"] = np.tanh(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((((3.526320)+(((data["te_WALLSMATERIAL_MODE"])+(((((data["FLAG_DOCUMENT_2"])+(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0)))) * 2.0)))))) *(data["te_WALLSMATERIAL_MODE"])))))
v["i163"] = np.tanh(((((np.maximum(((data["ca__Bad_debt"])) ,(((((((11.714300)<(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])) /2.0)))*1.))* 2.0)))))-(np.minimum(((1.105260)) ,(( data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])))))) * 2.0))
v["i164"] = np.tanh(((((data["FLAG_WORK_PHONE"])*(((0.043478)-(np.minimum(((((((data["NAME_GOODS_CATEGORY_Fitness"])*(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))* 2.0))),(((-1.0*(( data["NAME_SELLER_INDUSTRY_MLM_partners"])))))))))))* 2.0))
v["i165"] = np.tanh(((((data["PRODUCT_COMBINATION_Card_X_Sell"])*(((( data["PRODUCT_COMBINATION_Card_X_Sell"])>(np.where(np.where(data["cc_bal_AMT_BALANCE"]>0, 2.0, data["cc_bal_AMT_BALANCE"])>0, 2.0, 11.714300)))*1.))))-(((data["FLAG_DOCUMENT_15"])/ 2.0))))
v["i166"] = np.tanh(((((np.minimum(((data["NAME_SELLER_INDUSTRY_Auto_technology"])) ,(((( 0.797872)-(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))))) -(((((( 0.797872)*(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])/ 2.0)))) <(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])) *1.))))/ 2.0))
v["i167"] = np.tanh(((( 3.0)<(((0.323944)+(np.maximum(((np.maximum(((data["cc_bal_AMT_BALANCE"])) ,(( data["AMT_CREDIT_y"]))))),(((( np.where(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"]>0, data["cc_bal_AMT_BALANCE"], 3.0)) +(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])))))))))*1.))
v["i168"] = np.tanh(((((np.minimum(((((( 1.78492116928100586)) -(data["AMT_CREDIT_SUM"])))) ,(((((0.797872)>(((((( 1.220590)>(data["AMT_CREDIT_SUM"])) *1.))+(((data["AMT_CREDIT_SUM"])/ 2.0)))))*1.))))) * 2.0)) * 2.0))
v["i169"] = np.tanh(np.where(np.where(((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])>(data["NAME_CASH_LOAN_PURPOSE_Furniture"])) *1.) >0, 3.526320,(((data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])>(3.0)) *1.))>0,(((data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])>(3.0)) *1.) , data["SK_ID_BUREAU"]))
v["i170"] = np.tanh(((np.minimum(((data["NFLAG_INSURED_ON_APPROVAL"])) ,(( 0.680000)))) *(((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])<(np.tanh(( np.tanh(((((-1.0*(( np.maximum(((0.576923)) ,(((( data["NFLAG_INSURED_ON_APPROVAL"])/ 2.0)))))))) / 2.0)))))))*1.))))
v["i171"] = np.tanh(((((( 0.031746)+(((((data["NAME_PORTFOLIO_Cash"])/ 2.0)) / 2.0)))/2.0)) -(((((data["inst_SK_ID_PREV"])/ 2.0)) *(((((data["inst_SK_ID_PREV"])/ 2.0)) *(data["NAME_PORTFOLIO_Cash"])))))))
v["i172"] = np.tanh(((((( 1.105260)>(data["PRODUCT_COMBINATION_Cash"])) *1.))*(np.minimum(((np.minimum(((0.062500)) ,(((( data["PRODUCT_COMBINATION_Cash"])*(data["inst_AMT_PAYMENT"]))))))),(((( data["NFLAG_INSURED_ON_APPROVAL"])*(data["inst_AMT_PAYMENT"]))))))))
v["i173"] = np.tanh(((((((3.526320)*(((((np.maximum(((((( data["AMT_CREDIT_MAX_OVERDUE"])>(np.tanh(( data["AMT_CREDIT_MAX_OVERDUE"])))) *1.))) ,(( data["NAME_CASH_LOAN_PURPOSE_Medicine"])))) +(data["AMT_CREDIT_MAX_OVERDUE"])))* 2.0)))) * 2.0)) * 2.0))
v["i174"] = np.tanh(((( data["avg_buro_buro_bal_status_2"])<(((np.where(data["CNT_INSTALMENT_FUTURE"]>0, np.minimum(((data["DAYS_CREDIT"])) ,(( np.minimum(((data["DAYS_CREDIT"])) ,(((( 1.220590)-(data["DAYS_CREDIT"])))))))) , data["CNT_INSTALMENT_FUTURE"])) / 2.0)))*1.))
v["i175"] = np.tanh(((np.tanh(( data["EXT_SOURCE_3"])))*(((0.416667)-(((((((( data["EXT_SOURCE_3"])<(np.minimum(((np.tanh(( data["FLAG_DOCUMENT_2"])))) ,(( -2.0)))))*1.))* 2.0)) * 2.0))))))
v["i176"] = np.tanh(np.where(data["SK_DPD"]>0, data["CNT_INSTALMENT"],(((((((np.maximum(((data["NAME_SELLER_INDUSTRY_Connectivity"])) ,(( data["NAME_SELLER_INDUSTRY_Connectivity"])))) * 2.0)) *(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))+(((data["CNT_INSTALMENT"])*(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) /2.0)))
v["i177"] = np.tanh(((data["CNT_INSTALMENT"])*(((( -1.0*(( np.maximum(((((((((((0.339286)<(data["FLAG_DOCUMENT_2"])) *1.))+(data["DAYS_CREDIT"])) /2.0)) *(data["DAYS_CREDIT"])))) ,(((-1.0*(( 0.0)))))))))) / 2.0))))
v["i178"] = np.tanh(np.maximum(((((((((( data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])>(((3.0)/ 2.0)))*1.))* 2.0)) * 2.0))),(((((3.0)<(((data["CNT_INSTALMENT_FUTURE"])+(((( data["cc_bal_SK_DPD_DEF"])>(data["NAME_GOODS_CATEGORY_Weapon"])) *1.))))) *1.)))))
v["i179"] = np.tanh(((np.where(data["SK_DPD"]>0, data["CNT_INSTALMENT"], data["AMT_REQ_CREDIT_BUREAU_DAY"])) +(((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])<(((( data["SK_DPD"])+(((data["AMT_REQ_CREDIT_BUREAU_DAY"])+(np.maximum(((data["AMT_REQ_CREDIT_BUREAU_DAY"])) ,(( data["AMT_REQ_CREDIT_BUREAU_DAY"])))))))/2.0)))*1.))))
v["i180"] = np.tanh(((np.minimum(((((( data["NAME_SELLER_INDUSTRY_Connectivity"])>(((np.tanh(( data["NAME_SELLER_INDUSTRY_Connectivity"])))*(1.857140)))) *1.))) ,(( np.where(data["DAYS_CREDIT"]>0, 0.0, np.tanh(( data["NAME_SELLER_INDUSTRY_Connectivity"])))))))/ 2.0))
v["i181"] = np.tanh(((( -1.0*(( np.tanh(( np.where(np.tanh(( data["cc_bal_SK_DPD_DEF"])) >0, data["NAME_YIELD_GROUP_high"], np.where(data["NAME_YIELD_GROUP_high"]>0, np.where(data["SK_DPD"]>0, data["NAME_YIELD_GROUP_high"], data["SK_DPD"]), 0.036585)))))))) * 2.0))
v["i182"] = np.tanh(np.minimum(((((((2.0)+(data["PRODUCT_COMBINATION_POS_mobile_with_interest"])))-(((data["NAME_YIELD_GROUP_high"])* 2.0))))),(((( np.minimum(((0.323944)) ,(( 0.680000)))) / 2.0)))))
v["i183"] = np.tanh(((((((((data["PRODUCT_COMBINATION_Cash_Street__high"])>(np.tanh(( 0.416667)))) *1.))+(((( data["SK_DPD"])+(((((( -1.0*(( data["PRODUCT_COMBINATION_Cash_Street__high"])))) *(data["SK_DPD"])))/ 2.0)))/2.0)))/2.0)) / 2.0))
v["i184"] = np.tanh(((( 2.0)<(((data["PRODUCT_COMBINATION_POS_household_with_interest"])+(((data["LIVINGAPARTMENTS_MEDI"])-(((((0.0)* 2.0)) -(((np.where(data["cc_bal_cc_bal_status__Refused"]>0, data["cc_bal_cc_bal_status__Refused"], data["LIVINGAPARTMENTS_MEDI"])) * 2.0)))))))))*1.))
v["i185"] = np.tanh(((((data["ENTRANCES_MEDI"])*(((data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)))) -(np.tanh(((((np.tanh(((((data["ENTRANCES_MEDI"])+(0.576923)) /2.0)))) +(np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))) /2.0))))))
v["i186"] = np.tanh(((np.where(data["CODE_REJECT_REASON_VERIF"]>0, data["DAYS_FIRST_DUE"], np.maximum(((((0.062500)*(data["DAYS_FIRST_DUE"])))) ,(((-1.0*(( data["NAME_GOODS_CATEGORY_Weapon"])))))))) -(np.maximum(((data["FLAG_DOCUMENT_17"])) ,(( data["NAME_GOODS_CATEGORY_Weapon"]))))))
v["i187"] = np.tanh(((((data["NAME_GOODS_CATEGORY_Other"])-(((((( data["NAME_GOODS_CATEGORY_Other"])/ 2.0)) +(( 10.0)))/2.0)))) *(np.maximum(((data["NAME_GOODS_CATEGORY_Other"])) ,(( 0.0))))))
v["i188"] = np.tanh(np.minimum(((data["ty__Another_type_of_loan"])) ,(((( data["cc_bal_SK_DPD"])-(np.where(data["FLAG_DOCUMENT_14"]>0, data["FLAG_DOCUMENT_14"],(((((data["FLAG_DOCUMENT_14"])+(np.maximum(((data["NAME_GOODS_CATEGORY_Fitness"])) ,(( data["ty__Another_type_of_loan"])))))/2.0)) / 2.0))))))))
v["i189"] = np.tanh(((( -1.0*(((( 0.697674)-(((((( 0.680000)-(((( data["NAME_PORTFOLIO_POS"])<(0.680000)) *1.))))<(np.tanh(((((0.680000)+(data["NAME_PORTFOLIO_POS"])) /2.0)))))*1.))))))) / 2.0))
v["i190"] = np.tanh(np.minimum(((((np.where(data["NAME_GOODS_CATEGORY_XNA"]>0,(( data["NAME_GOODS_CATEGORY_XNA"])/ 2.0),(( data["PRODUCT_COMBINATION_Cash_Street__high"])/ 2.0)))*(np.minimum(((( 1.0))),(( data["PRODUCT_COMBINATION_Cash_Street__high"]))))))),(((((( data["NAME_GOODS_CATEGORY_XNA"])/ 2.0)) / 2.0)))))
v["i191"] = np.tanh(np.tanh(( np.where(data["cc_bal_cc_bal_status__Refused"]>0,(( np.tanh(((( data["NFLAG_LAST_APPL_IN_DAY"])+(((((((data["NFLAG_LAST_APPL_IN_DAY"])-(0.062500)))* 2.0)) -(0.062500)))))))/ 2.0), data["NFLAG_LAST_APPL_IN_DAY"]))))
v["i192"] = np.tanh(((np.maximum(((data["cc_bal_SK_DPD"])) ,(((((2.0)<(((data["AMT_CREDIT_x"])*(np.where(data["cc_bal_SK_DPD"]>0, 0.686567, 1.220590)))))*1.))))) *(((data["AMT_CREDIT_x"])-(0.043478)))))
v["i193"] = np.tanh(((np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["cc_bal_SK_DPD"])))) -(np.where(( 10.0)>0,(((0.323944)<(((data["YEARS_BEGINEXPLUATATION_MEDI"])+(((( data["cc_bal_SK_DPD_DEF"])+(data["YEARS_BEGINEXPLUATATION_MEDI"])) /2.0)))))*1.) , 0.043478))))
v["i194"] = np.tanh(((( data["LIVINGAREA_MODE"])>(np.maximum(((data["TOTALAREA_MODE"])) ,(( np.where(((data["FLOORSMAX_AVG"])*(np.maximum(((data["LIVINGAREA_AVG"])) ,(( data["TOTALAREA_MODE"])))))>0,(( data["LIVINGAREA_AVG"])/ 2.0), data["LIVINGAREA_MODE"])))))) *1.))
v["i195"] = np.tanh(((( -1.0*(( np.where(data["WALLSMATERIAL_MODE"]>0, np.where(((0.494118)*(data["FLAG_CONT_MOBILE"])) >0, 0.686567, data["FLAG_CONT_MOBILE"]),(((((0.036585)/ 2.0)) >(0.686567)) *1.))))))/ 2.0))
v["i196"] = np.tanh(((((((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])*(data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])))+(((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])))) +(((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])*(data["cc_bal_SK_DPD_DEF"])))))))* 2.0))
v["i197"] = np.tanh(np.where(np.where(data["cc_bal_cc_bal_status__Refused"]>0,(((data["cu__currency_3"])<(0.323944)) *1.) , np.where(data["FLAG_DOCUMENT_2"]>0, data["FLAG_EMAIL"], 1.220590)) >0,(( data["cc_bal_cc_bal_status__Refused"])+(data["cu__currency_3"])) , data["FLAG_DOCUMENT_2"]))
v["i198"] = np.tanh(((((np.maximum(((data["FLAG_DOCUMENT_2"])) ,(((((data["NAME_GOODS_CATEGORY_Medicine"])>(data["cc_bal_SK_DPD_DEF"])) *1.))))) +(((((data["NAME_YIELD_GROUP_XNA"])* 2.0)) *(data["cc_bal_SK_DPD_DEF"])))))* 2.0))
v["i199"] = np.tanh(np.where(((( 0.680000)+(data["DAYS_FIRST_DRAWING"])) /2.0)>0, np.where(data["DAYS_FIRST_DRAWING"]>0,(-1.0*(( 0.062500))),(((10.75054359436035156)) / 2.0)) , 0.043478))
v["i200"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["FLAG_EMAIL"], np.where(data["cc_bal_SK_DPD_DEF"]>0, data["FLAG_EMAIL"], np.tanh(((((0.043478)+(((((0.494118)*(( -1.0*(( data["FLAG_EMAIL"])))))) / 2.0)))/2.0))))))
v["i201"] = np.tanh(((((data["te_FLAG_EMAIL"])*(np.where(((((14.800000)/ 2.0)) -(((data["NAME_YIELD_GROUP_XNA"])+(((data["NAME_TYPE_SUITE_Group_of_people"])-(data["te_FLAG_EMAIL"])))))) >0, data["NAME_TYPE_SUITE_Group_of_people"], data["NAME_YIELD_GROUP_XNA"])))) * 2.0))
v["i202"] = np.tanh(((data["NAME_TYPE_SUITE_Group_of_people"])*(((((((( np.maximum(((((0.031746)/ 2.0))),(( data["FLAG_DOCUMENT_10"])))) -(1.105260)))-(data["NAME_TYPE_SUITE_Group_of_people"])))+(data["NAME_CASH_LOAN_PURPOSE_Furniture"])) /2.0))))
v["i203"] = np.tanh(((np.where(data["NAME_YIELD_GROUP_XNA"]>0, data["PRODUCT_COMBINATION_POS_household_without_interest"], 0.043478)) *(((( 0.062500)<(((((( 1.220590)>(data["NAME_YIELD_GROUP_XNA"])) *1.))-(data["cc_bal_SK_DPD_DEF"])))) *1.))))
v["i204"] = np.tanh(((np.minimum(((((( data["PRODUCT_COMBINATION_Cash"])>(((np.tanh(( 0.416667)))-(((np.tanh(( data["NAME_YIELD_GROUP_XNA"])))+(data["NAME_PORTFOLIO_POS"])))))) *1.))) ,(((((0.680000)<(data["NAME_YIELD_GROUP_XNA"])) *1.))))) / 2.0))
v["i205"] = np.tanh(( -1.0*(( np.maximum(((((-2.0)*(0.043478)))) ,(((( data["NAME_CONTRACT_STATUS_Approved"])*(((data["AMT_REQ_CREDIT_BUREAU_WEEK"])+(((data["CNT_INSTALMENT"])*(data["AMT_REQ_CREDIT_BUREAU_WEEK"])))))))))))))
v["i206"] = np.tanh(np.where(((data["cc_bal_SK_DPD_DEF"])*(( -1.0*(( data["CODE_REJECT_REASON_LIMIT"])))))>0, data["NAME_GOODS_CATEGORY_XNA"],(( 0.043478)*(np.where(data["CODE_REJECT_REASON_LIMIT"]>0, 3.0, 0.043478)))))
v["i207"] = np.tanh(np.minimum(((data["cc_bal_SK_DPD"])) ,(((( data["cc_bal_SK_DPD"])*(np.where(data["FLAG_EMAIL"]>0, -3.0,(((((11.714300)<(data["cc_bal_SK_DPD"])) *1.))+(data["FLAG_EMAIL"])))))))))
v["i208"] = np.tanh(((((( 0.797872)<(data["inst_AMT_INSTALMENT"])) *1.))*(((((( 0.797872)+(((((( 2.0)/ 2.0)) >(data["inst_AMT_INSTALMENT"])) *1.))))>(np.tanh(( data["AMT_CREDIT_y"])))) *1.))))
v["i209"] = np.tanh(((( -1.0*(((((np.where(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"]>0, 11.714300,(( np.where(0.323944>0, 0.323944, data["inst_AMT_PAYMENT"])) * 2.0)))<(((np.tanh(( data["inst_AMT_PAYMENT"])))* 2.0)))*1.))))) / 2.0))
v["i210"] = np.tanh(((( data["inst_AMT_PAYMENT"])<(( -1.0*(( np.maximum(((np.tanh(( 0.680000)))) ,(( np.where(data["NAME_PORTFOLIO_Cards"]>0, 0.680000,(((0.043478)>(( -1.0*(( data["NAME_PORTFOLIO_Cards"])))))*1.))))))))))*1.))
v["i211"] = np.tanh(((((( data["NAME_CONTRACT_TYPE_Consumer_loans"])*(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))+(((((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])+(np.minimum(((((data["AMT_CREDIT_y"])/ 2.0))),(( data["AMT_CREDIT_y"])))))/2.0)) *(((( data["NAME_CONTRACT_TYPE_Consumer_loans"])>(0.339286)) *1.))))) /2.0))
v["i212"] = np.tanh(np.where(((data["NAME_PORTFOLIO_Cards"])+(((0.036585)* 2.0)))>0,(((((( data["NAME_GOODS_CATEGORY_Insurance"])<(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])) *1.))<(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])>(data["cc_bal_AMT_PAYMENT_CURRENT"])) *1.))) *1.) , data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"]))
v["i213"] = np.tanh(((data["cc_bal_CNT_DRAWINGS_CURRENT"])*(((((data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])*(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])))-(np.minimum(((data["cc_bal_AMT_PAYMENT_CURRENT"])) ,(((( 11.714300)*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])>(data["cc_bal_CNT_DRAWINGS_CURRENT"])) *1.)))))))))))
v["i214"] = np.tanh(np.where(np.tanh(( data["CODE_REJECT_REASON_CLIENT"])) >0, data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"],(( np.where(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"]>0,(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])/ 2.0)) / 2.0),(( np.minimum(((data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])) ,(( data["NAME_PAYMENT_TYPE_Cash_through_the_bank"])))) / 2.0)))/ 2.0)))
v["i215"] = np.tanh(((((((0.062500)-(((data["FLAG_EMAIL"])*(( -1.0*(((( data["FLAG_DOCUMENT_4"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))))) -(data["NAME_GOODS_CATEGORY_Weapon"])))-(((data["FLAG_EMAIL"])*(0.062500)))))
v["i216"] = np.tanh(( -1.0*(((((( data["cc_bal_cc_bal_status__Sent_proposal"])+(data["FLAG_CONT_MOBILE"])))*(((0.323944)+(((-1.0)*(data["NAME_YIELD_GROUP_XNA"]))))))))))
v["i217"] = np.tanh(((((( 1.857140)<(data["avg_buro_buro_bal_status_2"])) *1.))-(np.maximum(((((( 0.031746)<(((np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["avg_buro_buro_bal_status_2"])))) * 2.0)))*1.))) ,(( data["cc_bal_cc_bal_status__Sent_proposal"]))))))
v["i218"] = np.tanh(((data["cc_bal_SK_ID_PREV"])*(((((( 0.031746)<(data["FLAG_OWN_CAR"])) *1.))+(((((( data["cc_bal_SK_ID_PREV"])>(1.857140)) *1.))-(0.062500)))))))
v["i219"] = np.tanh(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])>(((( 3.0)+(( -1.0*(( np.where(((data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])+(data["DAYS_LAST_DUE"])) >0,(( data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])+(data["DAYS_LAST_DUE"])) , 3.0)))))) /2.0)))*1.))
v["i220"] = np.tanh(( -1.0*(((((0.680000)<(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])*(((np.maximum(((0.043478)) ,(((((( 0.680000)* 2.0)) *(data["DAYS_FIRST_DUE"])))))) +(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])* 2.0)))))))*1.)))))
v["i221"] = np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0, np.minimum(((data["DAYS_LAST_DUE"])) ,(( data["PRODUCT_COMBINATION_Card_Street"]))),(((((((((data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])<(((data["DAYS_LAST_DUE"])+(data["DAYS_LAST_DUE"])))) *1.))+(0.062500)) /2.0)) <(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) *1.)))
v["i222"] = np.tanh(((( data["inst_AMT_PAYMENT"])<(( -1.0*(((((((-1.0*(( data["inst_AMT_PAYMENT"])))) / 2.0)) +(0.323944)))))))*1.))
v["i223"] = np.tanh(((((((data["cc_bal_SK_DPD_DEF"])+(np.where(data["cc_bal_SK_DPD"]>0, 1.105260,(((data["cc_bal_SK_DPD"])<(data["NAME_SELLER_INDUSTRY_Auto_technology"])) *1.))))/2.0)) <(((( data["NAME_SELLER_INDUSTRY_Auto_technology"])>(14.800000)) *1.))) *1.))
v["i224"] = np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0,(-1.0*(( data["DAYS_FIRST_DUE"]))),(((( data["cc_bal_SK_DPD_DEF"])-(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["DAYS_FIRST_DUE"])))))* 2.0)))
v["i225"] = np.tanh(((((( data["cc_bal_SK_DPD"])>(((14.800000)-(np.maximum(((((np.where(data["cc_bal_SK_DPD"]>0,(((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0), data["FLAG_DOCUMENT_2"])) * 2.0))),(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))*1.))* 2.0))
v["i226"] = np.tanh(((((( 3.0)<(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(data["CHANNEL_TYPE_Car_dealer"])) /2.0)))*1.))-(np.where(data["CHANNEL_TYPE_Car_dealer"]>0, data["CHANNEL_TYPE_Car_dealer"],(( data["FLAG_DOCUMENT_17"])*(( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])))))))))
v["i227"] = np.tanh(((0.036585)+(((0.062500)+(np.where(data["AMT_CREDIT_MAX_OVERDUE"]>0,(( data["AMT_CREDIT_MAX_OVERDUE"])*(14.800000)) ,(( 0.036585)+(((data["AMT_CREDIT_MAX_OVERDUE"])*(14.800000))))))))))
v["i228"] = np.tanh(np.minimum(((( -1.0*(((( np.tanh(( data["AMT_DOWN_PAYMENT"])))/ 2.0)))))) ,(((((data["REGION_RATING_CLIENT_W_CITY"])+(((( data["AMT_DOWN_PAYMENT"])<(data["DAYS_CREDIT"])) *1.))) /2.0)))))
v["i229"] = np.tanh(((((( -2.0)>(data["te_REGION_RATING_CLIENT"])) *1.))*(((((((((data["te_WALLSMATERIAL_MODE"])*(data["AMT_CREDIT_y"])))+(((data["AMT_GOODS_PRICE_y"])*(data["te_REGION_RATING_CLIENT"])))))* 2.0)) * 2.0))))
v["i230"] = np.tanh(np.minimum(((((data["inst_AMT_INSTALMENT"])+(((((( data["AMT_APPLICATION"])>(data["te_WALLSMATERIAL_MODE"])) *1.))* 2.0))))),(((((((( data["inst_AMT_INSTALMENT"])<(0.797872)) *1.))<(( -1.0*(( data["AMT_DOWN_PAYMENT"])))))*1.)))))
v["i231"] = np.tanh(np.where(data["FLAG_OWN_CAR"]>0,(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(((((((data["CNT_INSTALMENT"])<(( -1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))*1.))+(( -1.0*(( 1.0)))))/2.0)))/2.0),(( np.tanh(( 0.062500)))* 2.0)))
v["i232"] = np.tanh(((((0.031746)+(((data["CODE_GENDER"])*(( -1.0*(((((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))))))))) +(((np.tanh(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))*(( -1.0*(( 0.797872))))))))
v["i233"] = np.tanh(((( data["cc_bal_AMT_RECIVABLE"])>(np.maximum(((data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])) ,(( np.tanh(( data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])))))))*1.))
v["i234"] = np.tanh(( -1.0*(((( np.where(( -1.0*(( data["DAYS_LAST_DUE_1ST_VERSION"])))>0, data["inst_AMT_PAYMENT"], np.tanh(( np.tanh(( data["inst_SK_ID_PREV"])))))) / 2.0)))))
v["i235"] = np.tanh(((((data["inst_AMT_INSTALMENT"])*(((((((((data["AMT_GOODS_PRICE_y"])*(((1.105260)/ 2.0)))) >(1.0)) *1.))<(((data["AMT_GOODS_PRICE_y"])-(1.105260)))) *1.))))* 2.0))
v["i236"] = np.tanh(((data["AMT_DOWN_PAYMENT"])*(((((np.tanh(((((data["inst_AMT_PAYMENT"])>(((data["te_OCCUPATION_TYPE"])*(0.036585)))) *1.))))-(np.where(data["inst_AMT_PAYMENT"]>0, data["te_OCCUPATION_TYPE"], data["AMT_DOWN_PAYMENT"])))) / 2.0))))
v["i237"] = np.tanh(((((((-1.0*(( data["inst_AMT_PAYMENT"])))) *(np.where(0.036585>0, data["AMT_DOWN_PAYMENT"],(-1.0*(( data["inst_AMT_PAYMENT"])))))))+(( -1.0*(((((0.416667)<(((data["inst_AMT_PAYMENT"])* 2.0)))*1.))))))/2.0))
v["i238"] = np.tanh(((( 0.680000)<(((np.where(data["AMT_GOODS_PRICE_y"]>0, np.where(data["AMT_DOWN_PAYMENT"]>0, data["AMT_DOWN_PAYMENT"], data["CNT_INSTALMENT_FUTURE"]),(( data["AMT_DOWN_PAYMENT"])-(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) / 2.0)))*1.))
v["i239"] = np.tanh(((( 0.339286)<(((( 0.339286)+(np.where(data["CNT_INSTALMENT_FUTURE"]>0,(((data["CNT_INSTALMENT"])<(((( data["CNT_INSTALMENT_FUTURE"])>(data["CNT_INSTALMENT"])) *1.))) *1.) , data["CNT_INSTALMENT"])))/2.0)))*1.))
v["i240"] = np.tanh(( -1.0*(( np.minimum(((((( data["CNT_INSTALMENT"])>(((( data["CNT_INSTALMENT"])>(0.323944)) *1.))) *1.))) ,(( np.maximum(((((((( data["CNT_INSTALMENT"])>(data["CNT_PAYMENT"])) *1.))/ 2.0))),(( data["inst_AMT_PAYMENT"]))))))))))
v["i241"] = np.tanh(( -1.0*(((( np.where(data["AMT_DOWN_PAYMENT"]>0, data["avg_buro_buro_bal_status_2"],(-1.0*(( np.where(data["avg_buro_buro_bal_status_2"]>0,(((( 1.0)) <(((data["avg_buro_buro_bal_status_2"])/ 2.0)))*1.) , data["avg_buro_buro_bal_status_2"])))))) * 2.0)))))
v["i242"] = np.tanh(((data["avg_buro_buro_bal_status_4"])-(((data["avg_buro_buro_bal_status_2"])-(np.where(-1.0>0,(( data["inst_AMT_PAYMENT"])* 2.0),(((( data["inst_AMT_PAYMENT"])* 2.0)) *(data["NAME_CASH_LOAN_PURPOSE_Business_development"]))))))))
v["i243"] = np.tanh(((data["CNT_INSTALMENT_FUTURE"])*(np.maximum(((((( data["cc_bal_AMT_PAYMENT_CURRENT"])>(((2.235290)-(((( data["AMT_DOWN_PAYMENT"])+(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)))))*1.))) ,(((( -3.0)-(0.680000))))))))
v["i244"] = np.tanh(np.tanh(((((((( data["AMT_CREDIT_y"])*(np.maximum(((((-2.0)*(0.036585)))) ,(( np.minimum(((0.036585)) ,(( np.tanh(((( data["te_FLAG_EMAIL"])* 2.0)))))))))))) * 2.0)) * 2.0))))
v["i245"] = np.tanh(((((data["avg_buro_buro_bal_status_4"])*(data["te_FLAG_DOCUMENT_7"])))*(((((((data["avg_buro_buro_bal_status_4"])-(0.576923)))-(((((((0.0)<(11.714300)) *1.))<(data["te_FLAG_DOCUMENT_4"])) *1.))))* 2.0))))
v["i246"] = np.tanh(np.where(((( 1.105260)+(((( 1.105260)+(data["te_FLAG_EMAIL"])) /2.0)))/2.0)>0,(((( data["te_FLAG_EMAIL"])*(data["avg_buro_buro_bal_status_2"])))-(data["avg_buro_buro_bal_status_4"])) , np.tanh(( 0.416667))))
v["i247"] = np.tanh(((np.minimum(((((((np.minimum(((( -1.0*(((((( data["avg_buro_buro_bal_status_4"])*(((( data["avg_buro_buro_bal_status_4"])<(1.857140)) *1.))))* 2.0)))))) ,(( data["cc_bal_cc_bal_status__Refused"])))) * 2.0)) * 2.0))),(( data["cc_bal_cc_bal_status__Refused"])))) * 2.0))
v["i248"] = np.tanh(np.maximum(((-3.0)) ,(((-1.0*(( np.where(data["NAME_YIELD_GROUP_XNA"]>0,(((0.686567)<(((data["avg_buro_buro_bal_status_2"])* 2.0)))*1.) ,(-1.0*(((( data["avg_buro_buro_bal_status_2"])*(((data["avg_buro_buro_bal_status_2"])* 2.0))))))))))))))
v["i249"] = np.tanh(((data["NAME_CONTRACT_TYPE_Revolving_loans"])*(((np.minimum(((((1.0)-(np.where(data["avg_buro_buro_bal_status_4"]>0, 0.494118, data["NAME_CONTRACT_TYPE_Revolving_loans"]))))),(( np.where(data["avg_buro_buro_bal_status_4"]>0, 0.797872, data["NAME_CONTRACT_TYPE_Revolving_loans"])))))/ 2.0))))
v["i250"] = np.tanh(( -1.0*(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["avg_buro_buro_bal_status_2"],(-1.0*(((((data["avg_buro_buro_bal_status_2"])>(((( 11.714300)+(-1.0)) /2.0)))*1.))))))) *1.)))))
v["i251"] = np.tanh(((np.where(((((( -3.0)<(data["DAYS_LAST_DUE_1ST_VERSION"])) *1.))+(( -1.0*(( data["CODE_REJECT_REASON_SCOFR"])))))>0, data["cc_bal_SK_DPD_DEF"], -3.0)) *(np.where(data["avg_buro_buro_bal_status_4"]>0, data["DAYS_LAST_DUE_1ST_VERSION"], 11.714300))))
v["i252"] = np.tanh(((( 1.0)<(((((( np.where(((( data["cc_bal_AMT_PAYMENT_CURRENT"])>(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.) >0, data["CODE_REJECT_REASON_SCOFR"], 0.697674)) *(data["cc_bal_AMT_PAYMENT_CURRENT"])))+(data["cc_bal_AMT_PAYMENT_CURRENT"])) /2.0)))*1.))
v["i253"] = np.tanh(((((((((data["CODE_REJECT_REASON_SCOFR"])*(((data["avg_buro_buro_bal_status_2"])*(((data["avg_buro_buro_bal_status_2"])*(data["inst_AMT_PAYMENT"])))))))/ 2.0)) *(((data["avg_buro_buro_bal_status_2"])+(data["CODE_REJECT_REASON_SCOFR"])))))* 2.0))
v["i254"] = np.tanh(((11.714300)*(((np.where(((data["avg_buro_buro_bal_status_4"])*(data["avg_buro_buro_bal_status_2"])) >0, data["inst_AMT_PAYMENT"],(( data["inst_AMT_PAYMENT"])+(14.800000)))) *(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))
v["i255"] = np.tanh(np.minimum(((np.maximum(((data["AMT_GOODS_PRICE_y"])) ,(((-1.0*(( data["CNT_INSTALMENT_FUTURE"])))))))) ,(((( data["CODE_REJECT_REASON_SCOFR"])*(np.where(0.494118>0,(-1.0*(( data["CNT_INSTALMENT_FUTURE"]))),(( 0.0)-(0.036585)))))))))
v["i256"] = np.tanh(((((( -1.0*(((( data["YEARS_BEGINEXPLUATATION_MEDI"])*(np.where(data["avg_buro_buro_bal_status_2"]>0,(-1.0*(( data["YEARS_BEGINEXPLUATATION_MEDI"]))), np.tanh(( 14.800000)))))))))-(data["FLAG_DOCUMENT_4"])))* 2.0))
v["i257"] = np.tanh(((((((((data["avg_buro_buro_count"])/ 2.0)) / 2.0)) +(((((np.where(data["PRODUCT_COMBINATION_Cash_X_Sell__low"]>0, data["avg_buro_buro_count"], data["NAME_GOODS_CATEGORY_Weapon"])) / 2.0)) +(data["PRODUCT_COMBINATION_Cash_X_Sell__low"])))))*(data["avg_buro_buro_count"])))
v["i258"] = np.tanh(((np.maximum(((data["avg_buro_MONTHS_BALANCE"])) ,(((( np.tanh(((((data["SK_ID_BUREAU"])<(((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(data["avg_buro_MONTHS_BALANCE"])) *1.))>(data["avg_buro_MONTHS_BALANCE"])) *1.))) *1.))))*(data["SK_ID_BUREAU"])))))) *(data["SK_ID_BUREAU"])))
v["i259"] = np.tanh(((((((np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((2.235290)+(data["DAYS_CREDIT"])) /2.0)))))+(-3.0)) /2.0)) >(np.minimum(((0.323944)) ,(( data["avg_buro_buro_count"])))))*1.))
v["i260"] = np.tanh(np.minimum(((((data["TOTALAREA_MODE"])*(np.tanh(((-1.0*(( data["avg_buro_buro_bal_status_2"]))))))))),(( np.maximum(((np.minimum(((data["TOTALAREA_MODE"])) ,(( data["TOTALAREA_MODE"]))))),(( np.minimum(((data["avg_buro_buro_bal_status_2"])) ,(( data["DAYS_CREDIT"]))))))))))
v["i261"] = np.tanh(np.minimum(((((data["CODE_REJECT_REASON_SCOFR"])*(((( -1.0*(((((0.697674)<(np.minimum(((data["CODE_REJECT_REASON_SCOFR"])) ,(( data["DAYS_LAST_DUE_1ST_VERSION"])))))*1.))))) * 2.0))))),(((( data["CODE_REJECT_REASON_SCOFR"])*(data["NAME_PAYMENT_TYPE_Cashless_from_the_account_of_the_employer"]))))))
v["i262"] = np.tanh(((((data["avg_buro_buro_count"])*(np.minimum(((data["avg_buro_buro_bal_status_4"])) ,(((((( 9.0)) >(((data["avg_buro_buro_count"])*(np.minimum(((((data["avg_buro_buro_bal_status_2"])* 2.0))),(( data["avg_buro_buro_bal_status_4"])))))))*1.))))))) *(data["avg_buro_buro_bal_status_2"])))
v["i263"] = np.tanh(((((( data["avg_buro_buro_count"])>(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( np.tanh(( 11.714300)))))))*1.))*(((11.714300)*(((11.714300)*(data["AMT_DOWN_PAYMENT"])))))))
v["i264"] = np.tanh(np.minimum(((( -1.0*(((( np.maximum(((data["NAME_SELLER_INDUSTRY_Tourism"])) ,(((((14.800000)<(data["avg_buro_buro_bal_status_4"])) *1.))))) * 2.0)))))) ,(((-1.0*(( np.maximum(((data["NAME_GOODS_CATEGORY_Weapon"])) ,(((((data["avg_buro_buro_bal_status_4"])>(0.062500)) *1.)))))))))))
v["i265"] = np.tanh(((data["SK_DPD"])*(np.where(((( data["SK_DPD"])<(data["avg_buro_buro_bal_status_4"])) *1.) >0,(-1.0*(( data["SK_DPD"]))),(( data["avg_buro_buro_bal_status_4"])+(((-1.0)*(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)))))))))
v["i266"] = np.tanh(( -1.0*(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(np.where(data["avg_buro_buro_bal_status_4"]>0,(( 0.576923)* 2.0), data["WEEKDAY_APPR_PROCESS_START_WEDNESDAY"])))))))
v["i267"] = np.tanh(np.minimum(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(np.where(data["avg_buro_buro_bal_status_4"]>0, data["CODE_REJECT_REASON_SYSTEM"], data["NAME_GOODS_CATEGORY_Insurance"]))))),(((( data["avg_buro_buro_bal_status_4"])-(np.where(data["avg_buro_buro_bal_status_4"]>0,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0), data["NAME_GOODS_CATEGORY_Fitness"])))))))
v["i268"] = np.tanh(np.where(((data["FLAG_DOCUMENT_4"])+(np.tanh(((( data["cc_bal_SK_DPD_DEF"])* 2.0)))))>0, -3.0,(((data["cc_bal_SK_DPD"])>(np.maximum(((11.714300)) ,(( 11.714300)))))*1.)))
v["i269"] = np.tanh(((np.maximum(((3.0)) ,(((9.0)))))*(((np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(((((( 4.0)) <(np.maximum(((((data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0))),(( data["CHANNEL_TYPE_AP___Cash_loan_"])))))*1.))))) *(data["CHANNEL_TYPE_AP___Cash_loan_"])))))
v["i270"] = np.tanh(np.tanh(((((((( np.tanh(( data["avg_buro_buro_bal_status_4"])))*(data["CHANNEL_TYPE_AP___Cash_loan_"])))*(11.714300)))*(np.maximum(((data["CHANNEL_TYPE_AP___Cash_loan_"])) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)))))))))
v["i271"] = np.tanh(np.minimum(((((( np.where(data["cc_bal_SK_DPD_DEF"]>0, data["avg_buro_buro_bal_status_2"], 0.031746)) <(((( data["cc_bal_cc_bal_status__Refused"])+(((( 0.339286)<(data["avg_buro_buro_bal_status_2"])) *1.))) /2.0)))*1.))) ,(((((data["avg_buro_buro_bal_status_2"])<(3.526320)) *1.)))))
v["i272"] = np.tanh(( -1.0*(( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( -3.0)+(((data["NAME_CLIENT_TYPE_Refreshed"])-(((np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((( 11.714300)-(data["avg_buro_buro_bal_status_4"])))))) * 2.0))))))))))))
v["i273"] = np.tanh(np.minimum(((np.minimum(((((( 12.49790954589843750)) -(data["avg_buro_buro_bal_status_4"])))) ,(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(np.where(((data["avg_buro_buro_bal_status_4"])/ 2.0)>0, data["NAME_CASH_LOAN_PURPOSE_Business_development"],(-1.0*(( data["avg_buro_buro_bal_status_4"]))))))))))),(( 11.714300))))
v["i274"] = np.tanh(((( -1.0*(((((((data["avg_buro_buro_bal_status_2"])*(data["avg_buro_buro_bal_status_4"])))<(np.maximum(((data["FLAG_DOCUMENT_17"])) ,(( np.tanh(( data["FLAG_DOCUMENT_17"])))))))*1.))))) * 2.0))
v["i275"] = np.tanh(((data["cc_bal_SK_DPD_DEF"])+(((((np.where(((data["FLAG_DOCUMENT_10"])-(data["cc_bal_SK_DPD_DEF"])) >0, data["cu__currency_3"], data["cc_bal_SK_DPD_DEF"])) -(((( data["cu__currency_3"])>(data["cc_bal_SK_DPD_DEF"])) *1.))))/ 2.0))))
v["i276"] = np.tanh(( -1.0*(((((11.714300)<(((np.maximum(((((14.800000)/ 2.0))),(((((np.maximum(((0.036585)) ,(( 2.0)))) +(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)))))+(data["avg_buro_buro_bal_status_4"])))) *1.)))))
v["i277"] = np.tanh(np.maximum(((0.031746)) ,(((((0.031746)<(((data["NAME_YIELD_GROUP_XNA"])*(np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(( np.where(0.416667>0, 0.031746, data["NAME_PORTFOLIO_XNA"])))))))) *1.)))))
v["i278"] = np.tanh(((( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( data["cu__currency_3"])))) +(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((np.where(data["cu__currency_3"]>0, data["cu__currency_3"], data["NAME_GOODS_CATEGORY_Fitness"])) *(((data["cu__currency_3"])+(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))) /2.0))
v["i279"] = np.tanh(((np.where(((((((data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])+(data["NAME_PORTFOLIO_XNA"])) /2.0)) +(data["REG_REGION_NOT_WORK_REGION"])) /2.0)>0, 0.680000, data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])) *(((data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])*(((( -1.0*(( 1.857140)))) * 2.0))))))
v["i280"] = np.tanh(((((data["CHANNEL_TYPE_Stone"])* 2.0)) *(((( 0.062500)+(((((np.minimum(((data["CHANNEL_TYPE_Stone"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) *(np.tanh(( np.tanh(( data["NAME_CONTRACT_STATUS_Approved"])))))))/ 2.0)))/2.0))))
v["i281"] = np.tanh(np.where(data["FLAG_DOCUMENT_4"]>0, -3.0,(((( np.where(data["SK_ID_PREV_x"]>0,(((((( -3.0)+(data["SK_ID_PREV_x"])) /2.0)) >(2.235290)) *1.) , data["NAME_GOODS_CATEGORY_Direct_Sales"])) * 2.0)) * 2.0)))
v["i282"] = np.tanh(((np.where(((data["NAME_SELLER_INDUSTRY_MLM_partners"])*(data["FLAG_DOCUMENT_15"])) >0,(( data["NAME_GOODS_CATEGORY_Fitness"])*(data["FLAG_DOCUMENT_15"])) ,(((((((data["NAME_SELLER_INDUSTRY_MLM_partners"])*(data["FLAG_DOCUMENT_15"])))* 2.0)) +(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)))* 2.0))
v["i283"] = np.tanh(((((( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, 11.714300, data["FLAG_DOCUMENT_5"])) *(data["te_FLAG_DOCUMENT_20"])))>(((( 0.416667)+(0.416667)) /2.0)))*1.))
v["i284"] = np.tanh(((((data["te_FLAG_DOCUMENT_3"])*(((np.maximum(((((( 0.494118)<(data["cc_bal_SK_DPD_DEF"])) *1.))) ,(((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(2.235290)))>(0.0)) *1.))))) * 2.0)))) * 2.0))
v["i285"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(-1.0*(((( data["te_FLAG_DOCUMENT_6"])*(2.0))))),(( data["te_FLAG_DOCUMENT_18"])*(((((( data["nans"])>(((( -1.0*(( data["FLAG_DOCUMENT_18"])))) / 2.0)))*1.))/ 2.0)))))
v["i286"] = np.tanh(((((((( data["te_FLAG_DOCUMENT_8"])<(( -1.0*(((((( data["te_FLAG_DOCUMENT_8"])*(data["FLAG_DOCUMENT_21"])))+(((data["cc_bal_SK_DPD_DEF"])+(((((7.04159450531005859)) +(data["te_FLAG_DOCUMENT_20"])) /2.0)))))))))) *1.))* 2.0)) * 2.0))
v["i287"] = np.tanh(np.minimum(((np.maximum(((data["te_LIVE_REGION_NOT_WORK_REGION"])) ,(( data["NAME_GOODS_CATEGORY_Weapon"]))))),(((((((((((data["FLAG_DOCUMENT_10"])*(data["FLAG_DOCUMENT_10"])))>(data["cc_bal_SK_DPD_DEF"])) *1.))* 2.0)) -(((( data["NAME_GOODS_CATEGORY_Weapon"])+(data["te_LIVE_REGION_NOT_WORK_REGION"])) /2.0)))))))
v["i288"] = np.tanh(((((np.maximum(((np.maximum(((0.031746)) ,(((-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))))) ,(( data["REG_REGION_NOT_WORK_REGION"])))) -(data["te_FLAG_DOCUMENT_20"])))*(np.maximum(((0.062500)) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"]))))))
v["i289"] = np.tanh(((np.where(data["NAME_GOODS_CATEGORY_Education"]>0, data["te_REG_REGION_NOT_LIVE_REGION"],(( data["te_REG_REGION_NOT_LIVE_REGION"])*(data["te_CODE_GENDER"])))) *(((data["te_REG_REGION_NOT_LIVE_REGION"])+(data["te_OCCUPATION_TYPE"])))))
v["i290"] = np.tanh(((((( data["FLAG_DOCUMENT_3"])*(((( 0.323944)<(data["RATE_DOWN_PAYMENT"])) *1.))))+(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["FLAG_DOCUMENT_3"],(( data["te_REG_REGION_NOT_LIVE_REGION"])*(data["RATE_DOWN_PAYMENT"])))))/2.0))
v["i291"] = np.tanh(((np.where(((data["AMT_DOWN_PAYMENT"])+(((0.697674)/ 2.0)))>0,(((data["AMT_DOWN_PAYMENT"])>(0.062500)) *1.) , data["AMT_DOWN_PAYMENT"])) *(data["FLAG_DOCUMENT_6"])))
v["i292"] = np.tanh(np.where(((( -1.0*(( data["te_NAME_CONTRACT_TYPE"])))) -(np.maximum(((0.797872)) ,(( data["NAME_CONTRACT_TYPE"])))))>0, data["NAME_CONTRACT_TYPE"],(((( np.tanh(( data["FLAG_DOCUMENT_6"])))/ 2.0)) / 2.0)))
v["i293"] = np.tanh(((((((((((((((data["FLAG_DOCUMENT_2"])+(data["AMT_DOWN_PAYMENT"])) /2.0)) >(2.0)) *1.))-(data["NAME_GOODS_CATEGORY_Education"])))-(data["NAME_GOODS_CATEGORY_Education"])))-(data["FLAG_DOCUMENT_17"])))-(data["NAME_GOODS_CATEGORY_Education"])))
v["i294"] = np.tanh(np.maximum(((np.minimum(((( -1.0*(( data["AMT_INCOME_TOTAL"]))))),(( np.tanh(((((data["AMT_INCOME_TOTAL"])<(((((1.220590)-(2.0)))/ 2.0)))*1.)))))))),(((( data["AMT_INCOME_TOTAL"])-(2.0))))))
v["i295"] = np.tanh(((((( data["AMT_INCOME_TOTAL"])>(((( 1.220590)>(-3.0)) *1.))) *1.))+(((3.0)*(((( data["AMT_ANNUITY_x"])>(np.where(data["AMT_CREDIT_x"]>0, 1.220590, 2.235290)))*1.))))))
v["i296"] = np.tanh(((((( data["NAME_GOODS_CATEGORY_Insurance"])>(((data["AMT_ANNUITY_x"])+(np.where(0.031746>0, 1.220590, data["NAME_GOODS_CATEGORY_Insurance"])))))*1.))-(0.062500)))
v["i297"] = np.tanh(( -1.0*(( np.where(data["te_HOUSETYPE_MODE"]>0, 0.062500,(( data["te_NAME_CONTRACT_TYPE"])*(np.tanh(( np.minimum(((np.maximum(((data["te_NAME_CONTRACT_TYPE"])) ,(( data["FLAG_DOCUMENT_3"]))))),(((-1.0*(( data["te_NAME_CONTRACT_TYPE"])))))))))))))))
v["i298"] = np.tanh(np.minimum(((((np.where(data["te_ORGANIZATION_TYPE"]>0,(-1.0*(((((0.697674)<(((data["HOUR_APPR_PROCESS_START_x"])/ 2.0)))*1.)))), data["AMT_INCOME_TOTAL"])) *(data["te_ORGANIZATION_TYPE"])))) ,(( np.maximum(((data["te_ORGANIZATION_TYPE"])) ,(( data["HOUR_APPR_PROCESS_START_x"])))))))
v["i299"] = np.tanh(np.maximum(((np.maximum(((((( data["AMT_INCOME_TOTAL"])>(1.105260)) *1.))) ,(((((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])>(2.235290)) *1.)))))),(( 0.062500))))
v["i300"] = np.tanh(((np.minimum(((0.697674)) ,(( np.where(data["AMT_DOWN_PAYMENT"]>0, data["DAYS_ID_PUBLISH"], 0.062500)))))*(data["NAME_YIELD_GROUP_XNA"])))
v["i301"] = np.tanh(((((((((1.0)<(data["te_NAME_EDUCATION_TYPE"])) *1.))>(((np.maximum(((data["FLAG_EMP_PHONE"])) ,(( data["te_NAME_EDUCATION_TYPE"])))) / 2.0)))*1.))* 2.0))
v["i302"] = np.tanh(((((( data["ORGANIZATION_TYPE"])>(3.526320)) *1.))-(((3.526320)*(((((( data["NAME_CONTRACT_STATUS_Canceled"])*(((data["ORGANIZATION_TYPE"])*(data["ORGANIZATION_TYPE"])))))>(3.526320)) *1.))))))
v["i303"] = np.tanh(((data["ORGANIZATION_TYPE"])*(((np.maximum(((((( 3.526320)<(data["ORGANIZATION_TYPE"])) *1.))) ,(((((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])>(((( data["AMT_DOWN_PAYMENT"])<(0.036585)) *1.))) *1.))))) / 2.0))))
v["i304"] = np.tanh(np.minimum(((((data["AMT_INCOME_TOTAL"])*(((data["NAME_YIELD_GROUP_high"])*(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])))))) ,(((( data["NAME_YIELD_GROUP_high"])*(( -1.0*(( data["AMT_INCOME_TOTAL"])))))))))
v["i305"] = np.tanh(np.where(data["NAME_TYPE_SUITE_Other_A"]>0, data["AMT_DOWN_PAYMENT"], np.tanh(((((( -1.0*(( data["avg_buro_buro_count"])))) >(((((-1.0*(( data["avg_buro_buro_count"])))) >(data["AMT_DOWN_PAYMENT"])) *1.))) *1.)))))
v["i306"] = np.tanh(((((( data["avg_buro_buro_bal_status_C"])>(((( 0.416667)+(( -1.0*(( np.minimum(((0.043478)) ,(( -2.0)))))))) /2.0)))*1.))*(((1.0)-(data["NAME_TYPE_SUITE_Other_A"])))))
v["i307"] = np.tanh(( -1.0*(((((((( 0.323944)+(data["AMT_GOODS_PRICE_x"])) /2.0)) <(np.where(data["AMT_ANNUITY_x"]>0,(((((data["AMT_ANNUITY_x"])<(data["AMT_GOODS_PRICE_x"])) *1.))*(data["AMT_ANNUITY_x"])) , data["AMT_ANNUITY_x"])))*1.)))))
v["i308"] = np.tanh(np.where(data["ty__Credit_card"]>0,(( np.tanh(((((np.tanh(( data["ty__Credit_card"])))>(((((( 0.339286)*(0.339286)))+(0.339286)) /2.0)))*1.))))/ 2.0), data["NAME_CASH_LOAN_PURPOSE_Furniture"]))
v["i309"] = np.tanh(((((data["AMT_DOWN_PAYMENT"])/ 2.0)) +(((14.800000)*(( -1.0*(((((((data["AMT_DOWN_PAYMENT"])-(1.857140)))>(0.036585)) *1.)))))))))
v["i310"] = np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0,(( -1.0)-(data["EXT_SOURCE_3"])) ,(((data["EXT_SOURCE_3"])>(0.680000)) *1.)))
v["i311"] = np.tanh(((((((( data["EXT_SOURCE_3"])*(data["NAME_TYPE_SUITE_Other_A"])))*(data["NAME_TYPE_SUITE_Other_A"])))+(((( np.minimum(((data["nans"])) ,(((-1.0*(( data["EXT_SOURCE_3"])))))))+(data["NAME_TYPE_SUITE_Other_A"])) /2.0)))/2.0))
v["i312"] = np.tanh(((((np.tanh(((((3.0)<(((((data["FONDKAPREMONT_MODE"])-(0.323944)))-(np.maximum(((data["te_WALLSMATERIAL_MODE"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))*1.))))* 2.0)) * 2.0))
v["i313"] = np.tanh(((((((( data["SK_ID_PREV_x"])*(data["SK_ID_BUREAU"])))<(((((data["SK_ID_BUREAU"])+(-3.0)))/ 2.0)))*1.))*(np.minimum(((1.0)) ,(((( data["SK_ID_BUREAU"])+(-3.0))))))))
v["i314"] = np.tanh(((3.526320)*(np.where(((data["PRODUCT_COMBINATION_POS_mobile_with_interest"])+(0.062500)) >0,(((((data["SK_ID_BUREAU"])>(2.235290)) *1.))*(data["SK_ID_PREV_x"])) , 0.043478))))
v["i315"] = np.tanh(np.minimum(((((((data["SK_ID_PREV_x"])*(( -1.0*(( data["avg_buro_buro_bal_status_3"])))))) * 2.0))),(((( np.maximum(((data["te_HOUSETYPE_MODE"])) ,(((((( data["avg_buro_buro_bal_status_3"])* 2.0)) * 2.0)))))* 2.0)))))
v["i316"] = np.tanh(np.tanh(((( 0.043478)+(((0.043478)+(((((( 0.494118)+(data["WALLSMATERIAL_MODE"])) /2.0)) -(((( data["WALLSMATERIAL_MODE"])>(((( data["te_FONDKAPREMONT_MODE"])>(0.043478)) *1.))) *1.))))))))))
v["i317"] = np.tanh(np.where(np.tanh(( np.minimum(((((( np.minimum(((0.036585)) ,(( 0.036585)))) >(((((( -1.0*(( data["AMT_CREDIT_SUM_DEBT"])))) / 2.0)) / 2.0)))*1.))) ,(( data["SK_ID_BUREAU"])))))>0, data["SK_ID_BUREAU"], data["AMT_CREDIT_SUM_DEBT"]))
v["i318"] = np.tanh(((data["ty__Consumer_credit"])*(np.where(((data["AMT_CREDIT_SUM"])*(0.686567)) >0,(((( data["AMT_CREDIT_SUM"])*(0.686567)))+(data["ca__Closed"])) , data["NAME_GOODS_CATEGORY_Insurance"]))))
v["i319"] = np.tanh(((((((( 2.235290)<(data["AMT_GOODS_PRICE_x"])) *1.))*(np.where(np.minimum(((2.235290)) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))>0, data["AMT_CREDIT_SUM_DEBT"], data["DAYS_LAST_DUE"])))) *(2.235290)))
v["i320"] = np.tanh(((((((( 1.220590)<(((data["ty__Consumer_credit"])-(((((( data["inst_AMT_PAYMENT"])>(data["AMT_CREDIT_SUM"])) *1.))+(data["AMT_CREDIT_SUM"])))))) *1.))/ 2.0)) *(data["ca__Closed"])))
v["i321"] = np.tanh(((np.where(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)>0,(((( data["ty__Consumer_credit"])-(-2.0)))* 2.0), np.minimum(((( -1.0*(((((data["AMT_CREDIT_SUM"])>(0.323944)) *1.)))))),(( 0.686567)))))/ 2.0))
v["i322"] = np.tanh(((((( 2.235290)<(((( data["nans"])+(((( 0.680000)<(((data["te_WALLSMATERIAL_MODE"])/ 2.0)))*1.))) /2.0)))*1.))*(data["nans"])))
v["i323"] = np.tanh(np.minimum(((( -1.0*(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(((( data["te_WALLSMATERIAL_MODE"])>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))) *1.)))))),(( np.tanh(((-1.0*(((((data["te_WALLSMATERIAL_MODE"])>(((( 0.697674)>(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))) *1.))))))))))
v["i324"] = np.tanh(((((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(0.339286)) /2.0)) *(( -1.0*(((((np.minimum(((((((( 0.062500)<(data["te_WALLSMATERIAL_MODE"])) *1.))+(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))) ,(( data["WALLSMATERIAL_MODE"])))) +(data["te_HOUSETYPE_MODE"])) /2.0)))))))
v["i325"] = np.tanh(((((data["CNT_INSTALMENT"])*(((np.where(np.tanh(( data["ty__Credit_card"])) >0, data["NAME_GOODS_CATEGORY_Direct_Sales"],(-1.0*(( data["inst_AMT_PAYMENT"])))))+(((data["inst_AMT_PAYMENT"])*(data["ty__Credit_card"])))))))/ 2.0))
v["i326"] = np.tanh(((((((((-1.0*(( np.minimum(((data["CNT_INSTALMENT"])) ,(( data["CNT_INSTALMENT"])))))))*(((data["CNT_INSTALMENT"])/ 2.0)))) +(data["inst_AMT_PAYMENT"])) /2.0)) *(((data["ty__Consumer_credit"])+(data["ty__Credit_card"])))))
v["i327"] = np.tanh(np.where(data["CODE_REJECT_REASON_CLIENT"]>0, data["PRODUCT_COMBINATION_POS_industry_without_interest"], np.where(((( data["inst_AMT_PAYMENT"])<(((((( data["PRODUCT_COMBINATION_POS_industry_without_interest"])>(1.0)) *1.))/ 2.0)))*1.) >0,(-1.0*(( data["PRODUCT_COMBINATION_POS_industry_without_interest"]))), data["PRODUCT_COMBINATION_POS_industry_without_interest"])))
v["i328"] = np.tanh(((np.where(data["inst_AMT_INSTALMENT"]>0,(( np.maximum(((data["NAME_CONTRACT_STATUS_Unused_offer"])) ,(( data["ty__Consumer_credit"])))) / 2.0), np.minimum(((0.036585)) ,(((((data["NAME_CONTRACT_STATUS_Unused_offer"])+(data["ty__Consumer_credit"])) /2.0)))))) / 2.0))
v["i329"] = np.tanh(( -1.0*(((((((((((( 0.686567)<(data["te_NAME_HOUSING_TYPE"])) *1.))>(((((data["te_NAME_HOUSING_TYPE"])/ 2.0)) +(((((( 3.0)>(data["FLAG_DOCUMENT_10"])) *1.))/ 2.0)))))*1.))* 2.0)) * 2.0)))))
v["i330"] = np.tanh(np.where(data["te_DAYS_ID_PUBLISH"]>0,(((((((1.220590)-(2.0)))/ 2.0)) >(data["AMT_CREDIT_SUM"])) *1.) ,(((data["AMT_CREDIT_SUM"])>(np.maximum(((0.323944)) ,(( data["NAME_TYPE_SUITE_Other_B"])))))*1.)))
v["i331"] = np.tanh(np.where(((((np.where(((data["te_DAYS_ID_PUBLISH"])/ 2.0)>0, 1.0,(( data["AMT_CREDIT_x"])/ 2.0)))/ 2.0)) / 2.0)>0,(((( data["te_DAYS_ID_PUBLISH"])/ 2.0)) *(data["te_DAYS_ID_PUBLISH"])) , data["te_DAYS_ID_PUBLISH"]))
v["i332"] = np.tanh(((( data["inst_AMT_PAYMENT"])<(( -1.0*(((((((0.043478)/ 2.0)) +(((np.maximum(((3.0)) ,(((( data["NAME_TYPE_SUITE_Other_B"])-(1.857140)))))) -(data["NAME_TYPE_SUITE_Other_B"])))) /2.0)))))) *1.))
v["i333"] = np.tanh(((np.minimum(((((((((( 8.0)) -(data["inst_AMT_PAYMENT"])))-(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])/ 2.0)))) * 2.0))),(((((((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])/ 2.0)) * 2.0)) / 2.0)))))*(3.0)))
v["i334"] = np.tanh(((((np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, 3.526320,(( np.maximum(((np.maximum(((data["cu__currency_3"])) ,(( data["FLAG_DOCUMENT_13"]))))),(( -2.0)))) * 2.0)))*(((data["cu__currency_3"])* 2.0)))) * 2.0))
v["i335"] = np.tanh(((np.where(data["cc_bal_cc_bal_status__Sent_proposal"]>0, np.minimum(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) ,(( data["Amortized_debt"]))))),(((-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_used_car"])))))) ,(((((( -1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"])))) / 2.0)) <(data["NAME_CASH_LOAN_PURPOSE_Buying_a_used_car"])) *1.))) * 2.0))
v["i336"] = np.tanh(((((((((data["Amortized_debt"])+(0.031746)) /2.0)) +(((( 0.416667)+(data["Amortized_debt"])) /2.0)))/2.0)) -(((( data["Amortized_debt"])>(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) *1.))))
v["i337"] = np.tanh(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) ,(((((7.0)) +(((14.800000)-(np.maximum(((np.maximum(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( data["NAME_GOODS_CATEGORY_Education"]))))),(( 14.800000))))),(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))))))))
v["i338"] = np.tanh(np.where(data["cc_bal_cc_bal_status__Sent_proposal"]>0,(( data["NAME_CONTRACT_STATUS_Unused_offer"])*(data["cc_bal_cc_bal_status__Sent_proposal"])) ,(-1.0*(((((((data["CODE_REJECT_REASON_CLIENT"])*(data["CODE_REJECT_REASON_CLIENT"])))<(((data["NAME_CONTRACT_STATUS_Unused_offer"])* 2.0)))*1.))))))
v["i339"] = np.tanh(((data["NAME_PORTFOLIO_XNA"])*(((np.where(((data["WALLSMATERIAL_MODE"])/ 2.0)>0,(((data["WALLSMATERIAL_MODE"])>(3.526320)) *1.) ,(((data["NAME_CONTRACT_STATUS_Unused_offer"])>(( 6.0)))*1.))) *(3.526320)))))
v["i340"] = np.tanh(((((((data["SK_ID_PREV_x"])*(((np.maximum(((((-3.0)+(np.where(data["SK_ID_PREV_x"]>0, data["NAME_CASH_LOAN_PURPOSE_Business_development"], data["SK_ID_PREV_x"]))))),(( data["CNT_INSTALMENT_FUTURE"])))) / 2.0)))) / 2.0)) -(0.036585)))
v["i341"] = np.tanh(( -1.0*(((((( np.where(data["AMT_DOWN_PAYMENT"]>0, 0.043478,(-1.0*(((( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, 0.043478, 0.0)) * 2.0)))))) * 2.0)) * 2.0)))))
v["i342"] = np.tanh(np.where(((((data["NAME_YIELD_GROUP_high"])*(((( data["te_FLAG_DOCUMENT_8"])<(0.0)) *1.))))-(((1.220590)/ 2.0)))>0, data["DAYS_TERMINATION"],(((data["te_FLAG_DOCUMENT_8"])<(0.0)) *1.)))
v["i343"] = np.tanh(((0.062500)*(np.minimum(((data["DAYS_LAST_DUE"])) ,(((( data["te_FLAG_DOCUMENT_3"])-(data["te_CODE_GENDER"]))))))))
v["i344"] = np.tanh(((((data["FLAG_DOCUMENT_5"])*(np.minimum(((np.where(((( data["NAME_CONTRACT_STATUS_Canceled"])>(0.062500)) *1.) >0, data["WALLSMATERIAL_MODE"],(-1.0*(( data["WALLSMATERIAL_MODE"])))))) ,(((-1.0*(( data["WALLSMATERIAL_MODE"])))))))))/ 2.0))
v["i345"] = np.tanh(((( -1.0*(((((data["FLAG_DOCUMENT_8"])>(((( 9.55103015899658203)) *(((( 0.797872)>(((((data["AMT_DOWN_PAYMENT"])* 2.0)) -(( 0.0)))))*1.))))) *1.))))) * 2.0))
v["i346"] = np.tanh(((((((3.0)+(((np.where(data["cc_bal_cc_bal_status__Refused"]>0,(-1.0*(( data["FLAG_DOCUMENT_6"]))), data["DAYS_CREDIT"])) +(((( 0.0)<(data["FLAG_DOCUMENT_6"])) *1.))))) /2.0)) <(data["DAYS_CREDIT"])) *1.))
v["i347"] = np.tanh(np.where(((( -1.0*(( data["AMT_DOWN_PAYMENT"])))) / 2.0)>0,(((((data["OCCUPATION_TYPE"])>(2.0)) *1.))*(data["NAME_CONTRACT_STATUS_Canceled"])) , np.minimum(((data["AMT_DOWN_PAYMENT"])) ,(( data["FLAG_DOCUMENT_5"])))))
v["i348"] = np.tanh(((np.where(((data["NAME_CONTRACT_STATUS_Approved"])-(((( data["AMT_DOWN_PAYMENT"])<(((((data["AMT_DOWN_PAYMENT"])/ 2.0)) *(data["OCCUPATION_TYPE"])))) *1.))) >0, 0.031746,(-1.0*(( data["OCCUPATION_TYPE"])))))*(data["AMT_DOWN_PAYMENT"])))
v["i349"] = np.tanh(((( -1.0*(( data["ty__Microloan"])))) *(((((( np.where(( -1.0*(( data["AMT_DOWN_PAYMENT"])))>0,(-1.0*(( data["ty__Microloan"]))),(-1.0*(( data["AMT_DOWN_PAYMENT"])))))* 2.0)) <(data["NAME_CONTRACT_STATUS_Approved"])) *1.))))
v["i350"] = np.tanh(((( -1.0)+(((( data["WEEKDAY_APPR_PROCESS_START_WEDNESDAY"])>(((((data["NAME_CONTRACT_STATUS_Canceled"])-(np.maximum(((( -1.0*(( 0.062500))))),(( 1.857140)))))) * 2.0)))*1.))) /2.0))
v["i351"] = np.tanh(((( np.where(( -1.0*(( data["AMT_DOWN_PAYMENT"])))>0, 2.0,(( data["cc_bal_cc_bal_status__Refused"])/ 2.0)))<(((( -1.0*(( 1.105260)))) +(np.where(data["cc_bal_cc_bal_status__Refused"]>0, data["NAME_CASH_LOAN_PURPOSE_Repairs"], data["AMT_DOWN_PAYMENT"])))))*1.))
v["i352"] = np.tanh(((np.maximum(((((data["AMT_DOWN_PAYMENT"])-(14.800000)))) ,(( data["CODE_REJECT_REASON_VERIF"])))) *(((((data["AMT_DOWN_PAYMENT"])-(np.where(data["CODE_REJECT_REASON_VERIF"]>0, 0.062500, 1.220590)))) / 2.0))))
v["i353"] = np.tanh(np.where(data["te_OCCUPATION_TYPE"]>0,(((data["te_OCCUPATION_TYPE"])<(0.680000)) *1.) ,(((data["te_OCCUPATION_TYPE"])<(((( -3.0)+(((( np.minimum(((0.494118)) ,(( 3.0)))) <(data["AMT_DOWN_PAYMENT"])) *1.))) /2.0)))*1.)))
v["i354"] = np.tanh(np.where(np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( -3.0)))>0,(-1.0*(( np.minimum(((data["OBS_60_CNT_SOCIAL_CIRCLE"])) ,(( data["OBS_60_CNT_SOCIAL_CIRCLE"])))))) ,(((0.0)>(( 7.0)))*1.)))
v["i355"] = np.tanh(np.where(((np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["cc_bal_cc_bal_status__Refused"],(((data["DEF_60_CNT_SOCIAL_CIRCLE"])>(((2.235290)+(((( 6.48228216171264648)) / 2.0)))))*1.))) * 2.0)>0, data["DEF_60_CNT_SOCIAL_CIRCLE"],(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)))
v["i356"] = np.tanh(((((((11.51243686676025391)) +(14.800000)) /2.0)) *(((data["cc_bal_SK_DPD_DEF"])*(np.maximum(((data["ty__Microloan"])) ,(( data["inst_AMT_PAYMENT"]))))))))
v["i357"] = np.tanh(((( -2.0)>(( -1.0*(((((((((((((data["AMT_DOWN_PAYMENT"])<(data["cc_bal_SK_DPD_DEF"])) *1.))*(data["inst_AMT_INSTALMENT"])))/ 2.0)) *(data["inst_AMT_INSTALMENT"])))/ 2.0)))))) *1.))
v["i358"] = np.tanh(((((( data["ty__Microloan"])>(((( 11.714300)+(((( 11.714300)+(( -1.0*(((( data["AMT_DOWN_PAYMENT"])-(((((-1.0*(( data["ty__Microloan"])))) <(data["AMT_DOWN_PAYMENT"])) *1.))))))))/2.0)))/2.0)))*1.))* 2.0))
v["i359"] = np.tanh(((((data["inst_AMT_PAYMENT"])*(((((data["AMT_DOWN_PAYMENT"])*(data["inst_AMT_PAYMENT"])))*(data["CHANNEL_TYPE_Car_dealer"])))))-(((data["CHANNEL_TYPE_Car_dealer"])* 2.0))))
v["i360"] = np.tanh(((((( 0.576923)<(data["cc_bal_cc_bal_status__Refused"])) *1.))-(((((np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((( data["te_FLAG_WORK_PHONE"])*(0.036585)))))) +(0.043478)))+(data["CHANNEL_TYPE_Car_dealer"])))))
v["i361"] = np.tanh(np.where(((data["cc_bal_SK_DPD_DEF"])-(0.036585)) >0, data["WEEKDAY_APPR_PROCESS_START"],(( 11.714300)*(((data["cc_bal_SK_DPD_DEF"])*(((((data["cc_bal_SK_DPD_DEF"])*(11.714300)))+(data["inst_AMT_PAYMENT"]))))))))
v["i362"] = np.tanh(np.where(0.031746>0,(((( np.maximum(((((((4.0)) <(data["inst_AMT_INSTALMENT"])) *1.))) ,(((((( 4.0)) <(data["AMT_DOWN_PAYMENT"])) *1.))))) *(3.526320)))*(data["inst_AMT_INSTALMENT"])) , 3.526320))
v["i363"] = np.tanh(((data["WEEKDAY_APPR_PROCESS_START"])*(( -1.0*(( np.tanh(( np.maximum(((data["cc_bal_AMT_PAYMENT_CURRENT"])) ,(((((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) +(( -1.0*(( np.tanh(( data["cc_bal_AMT_PAYMENT_CURRENT"])))))))/2.0))))))))))))
v["i364"] = np.tanh(( -1.0*(((((((((6.0)) +(data["te_FLAG_DOCUMENT_5"])))* 2.0)) *(((( data["inst_AMT_PAYMENT"])>(((( data["te_FLAG_DOCUMENT_5"])+(( 4.66436243057250977)))/2.0)))*1.)))))))
v["i365"] = np.tanh(((( data["inst_AMT_INSTALMENT"])+(((((( data["CNT_INSTALMENT_FUTURE"])>(3.0)) *1.))-(np.tanh(( np.maximum(((np.tanh(( data["inst_AMT_INSTALMENT"])))) ,(((-1.0*(( 0.036585)))))))))))) /2.0))
v["i366"] = np.tanh(((data["inst_AMT_PAYMENT"])*(( -1.0*(((((((data["AMT_ANNUITY"])>(2.235290)) *1.))*(np.maximum(((14.800000)) ,(( data["AMT_ANNUITY"])))))))))))
v["i367"] = np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Building_a_house_or_an_annex"]>0,(((((( 8.0)) +(((np.minimum(((data["NFLAG_INSURED_ON_APPROVAL"])) ,(( 0.797872)))) * 2.0)))) <(data["NAME_CASH_LOAN_PURPOSE_Building_a_house_or_an_annex"])) *1.) ,(( -2.0)*(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]))))
v["i368"] = np.tanh(((((np.minimum(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(-1.0)))) ,(((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["AMT_DOWN_PAYMENT"])))* 2.0)))))-(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))*(data["AMT_DOWN_PAYMENT"])))
v["i369"] = np.tanh(np.where(data["CNT_INSTALMENT"]>0, np.minimum(((((0.680000)-(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])))) ,(( np.maximum(((((data["CNT_INSTALMENT"])-(data["CNT_INSTALMENT"])))) ,(( data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])))))) ,(( 0.036585)*(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"]))))
v["i370"] = np.tanh(((((-1.0*(( np.where(((((1.857140)*(((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))) -(data["cc_bal_SK_DPD_DEF"])) >0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"], 0.043478)))))+(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(0.062500)))) /2.0))
v["i371"] = np.tanh(np.minimum(((0.416667)) ,(((((((((( 1.105260)-(((((( 0.30295735597610474)) / 2.0)) *(data["AMT_DOWN_PAYMENT"])))))+(data["NFLAG_INSURED_ON_APPROVAL"])) /2.0)) <(((data["AMT_DOWN_PAYMENT"])/ 2.0)))*1.)))))
v["i372"] = np.tanh(((((( data["cc_bal_SK_DPD_DEF"])<(np.minimum(((data["NAME_YIELD_GROUP_middle"])) ,(((((( data["NAME_GOODS_CATEGORY_Insurance"])*(data["NAME_YIELD_GROUP_middle"])))* 2.0)))))) *1.))*(data["NAME_YIELD_GROUP_middle"])))
v["i373"] = np.tanh(( -1.0*(((( np.minimum(((np.tanh(((((((np.tanh(( 0.339286)))>(data["NAME_YIELD_GROUP_middle"])) *1.))/ 2.0))))),(((((data["NAME_YIELD_GROUP_middle"])>(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])) *1.))))) / 2.0)))))
v["i374"] = np.tanh(np.where(((( 0.680000)<(np.minimum(((((( data["NAME_YIELD_GROUP_middle"])+(0.0)) /2.0))),(( data["AMT_CREDIT_SUM"])))))*1.) >0, data["AMT_CREDIT_SUM"],(( np.minimum(((data["AMT_CREDIT_SUM"])) ,(( data["AMT_CREDIT_SUM"])))) *(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]))))
v["i375"] = np.tanh(((np.minimum(((((np.where(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"]>0,(( data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])-(14.800000)) ,(( data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])*(data["NAME_GOODS_CATEGORY_Computers"])))) * 2.0))),(((( data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])/ 2.0)))))* 2.0))
v["i376"] = np.tanh(np.where(data["te_NAME_HOUSING_TYPE"]>0, 0.323944,(((((-1.0*(((((data["te_NAME_HOUSING_TYPE"])<(np.tanh(( -2.0)))) *1.))))) * 2.0)) * 2.0)))
v["i377"] = np.tanh(((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) *(np.where(data["NAME_YIELD_GROUP_middle"]>0, np.minimum(((-2.0)) ,(((( np.tanh(( 2.235290)))/ 2.0)))) ,(((0.686567)+(data["NAME_YIELD_GROUP_middle"])) /2.0)))))
v["i378"] = np.tanh(( -1.0*(((((( data["inst_AMT_PAYMENT"])*(0.031746)))-(((( 0.416667)<(np.where(data["te_NAME_HOUSING_TYPE"]>0, data["inst_AMT_PAYMENT"],(( data["AMT_CREDIT_SUM"])*(data["inst_AMT_PAYMENT"])))))*1.)))))))
v["i379"] = np.tanh(((((( data["AMT_CREDIT_SUM"])+(((0.043478)* 2.0)))) <(np.tanh(( data["AMT_CREDIT_SUM_DEBT"])))) *1.))
v["i380"] = np.tanh(((( -1.0*(((((0.416667)+(np.where(np.minimum(((data["EXT_SOURCE_3"])) ,(( 0.494118)))>0, data["ca__Active"], np.tanh(( data["te_NAME_HOUSING_TYPE"])))))/2.0)))))-(((0.323944)/ 2.0))))
v["i381"] = np.tanh(np.where(data["SK_ID_BUREAU"]>0,(( data["ty__Credit_card"])*(data["SK_ID_BUREAU"])) ,(((((data["inst_AMT_PAYMENT"])<(np.tanh(( data["ty__Credit_card"])))) *1.))*(((data["SK_ID_BUREAU"])+(0.494118))))))
v["i382"] = np.tanh(((((((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((( data["DAYS_ID_PUBLISH"])<(1.105260)) *1.))))* 2.0)) * 2.0)) * 2.0)) *(np.tanh(( np.tanh(((( data["DAYS_ID_PUBLISH"])+(data["DAYS_ID_PUBLISH"])))))))))
v["i383"] = np.tanh(( -1.0*(( np.maximum(((((( data["DAYS_CREDIT_UPDATE"])<(-1.0)) *1.))) ,(((((((((( data["NAME_GOODS_CATEGORY_Insurance"])<(14.800000)) *1.))* 2.0)) <(data["NAME_PRODUCT_TYPE_walk_in"])) *1.))))))))
v["i384"] = np.tanh(((((((data["DAYS_CREDIT"])*(np.where(0.036585>0, data["ca__Sold"], data["DAYS_CREDIT"])))) * 2.0)) -(np.where(data["ca__Sold"]>0, data["ca__Sold"], data["ca__Sold"]))))
v["i385"] = np.tanh(np.maximum(((((data["ca__Sold"])-(((2.0)* 2.0))))),(( np.tanh(((( data["DAYS_CREDIT"])*(((( data["NAME_PRODUCT_TYPE_walk_in"])>(((( 3.526320)<(data["NAME_PRODUCT_TYPE_walk_in"])) *1.))) *1.)))))))))
v["i386"] = np.tanh(((((((data["NAME_CASH_LOAN_PURPOSE_Other"])>(0.416667)) *1.))+(np.minimum(((((0.494118)/ 2.0))),(((( data["DAYS_ENDDATE_FACT"])*(( -1.0*(((( 0.494118)/ 2.0)))))))))))/2.0))
v["i387"] = np.tanh(np.minimum(((((( data["AMT_REQ_CREDIT_BUREAU_YEAR"])>(( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))*1.))) ,(((( 0.576923)-(np.tanh(( np.maximum(((np.tanh(((((data["AMT_REQ_CREDIT_BUREAU_YEAR"])+(0.416667)) /2.0))))),(( data["AMT_REQ_CREDIT_BUREAU_YEAR"])))))))))))
v["i388"] = np.tanh(((data["ca__Sold"])*(np.maximum(((( -1.0*(( data["ca__Sold"]))))),(((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(data["FLAG_DOCUMENT_10"])) *1.))+(((((data["ca__Sold"])-(((11.714300)/ 2.0)))) * 2.0)))))))))
v["i389"] = np.tanh(( -1.0*(((( np.minimum(((((( data["DAYS_CREDIT"])+(2.0)) /2.0))),(((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(data["DAYS_CREDIT"])))))) *(np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, 2.0, data["DAYS_CREDIT"])))))))
v["i390"] = np.tanh(((data["AMT_CREDIT_SUM_DEBT"])*(((data["AMT_CREDIT_SUM_DEBT"])*(np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["AMT_CREDIT_SUM_DEBT"], np.tanh(( np.where(data["AMT_CREDIT_SUM_DEBT"]>0, data["NAME_GOODS_CATEGORY_Insurance"], np.minimum(((data["DAYS_LAST_DUE_1ST_VERSION"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"]))))))))))))
v["i391"] = np.tanh(((((((((((((( data["AMT_CREDIT_MAX_OVERDUE"])>(np.where(data["AMT_CREDIT_MAX_OVERDUE"]>0, 0.062500, data["FLAG_DOCUMENT_4"])))*1.))* 2.0)) +(np.tanh(( data["AMT_CREDIT_MAX_OVERDUE"])))))+(data["FLAG_DOCUMENT_4"])))* 2.0)) * 2.0))
v["i392"] = np.tanh(np.minimum(((((data["FLAG_DOCUMENT_15"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) ,(((( data["FLAG_EMAIL"])*(((((( data["DAYS_LAST_DUE_1ST_VERSION"])>(0.680000)) *1.))*(((data["FLAG_DOCUMENT_15"])*(data["FLAG_EMAIL"]))))))))))
v["i393"] = np.tanh(np.minimum(((((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])*(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])+(data["NAME_GOODS_CATEGORY_Insurance"])))))) ,(((-1.0*(((((data["cu__currency_4"])+(((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])>(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])*(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))) *1.))) /2.0))))))))
v["i394"] = np.tanh(((((((np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) ,(( data["AMT_REQ_CREDIT_BUREAU_YEAR"])))) *(((0.043478)* 2.0)))) -(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))-(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(data["AMT_REQ_CREDIT_BUREAU_YEAR"])))))))
v["i395"] = np.tanh(((np.where(data["cc_bal_SK_DPD_DEF"]>0, data["cc_bal_SK_DPD"], data["ty__Loan_for_working_capital_replenishment"])) *(( -1.0*(((( 0.043478)-(((( 14.800000)>(((( data["ty__Loan_for_working_capital_replenishment"])+(2.0)) /2.0)))*1.)))))))))
v["i396"] = np.tanh(((0.043478)+(( -1.0*(( np.maximum(((((( 14.800000)<(data["ty__Loan_for_working_capital_replenishment"])) *1.))) ,(( np.where(data["ty__Loan_for_working_capital_replenishment"]>0,(( 2.235290)*(data["cc_bal_SK_DPD"])) , data["NAME_GOODS_CATEGORY_Insurance"]))))))))))
v["i397"] = np.tanh(((( 9.0)) *(((((( 0.680000)<(data["cc_bal_SK_DPD_DEF"])) *1.))+(((( data["NAME_CASH_LOAN_PURPOSE_Hobby"])>(((( data["cc_bal_SK_DPD_DEF"])+(0.0)) /2.0)))*1.))))))
v["i398"] = np.tanh(np.where(data["cc_bal_SK_DPD"]>0, data["NAME_GOODS_CATEGORY_Insurance"],(( 0.686567)*(np.minimum(((( -1.0*(((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])/ 2.0)))))) ,(((((-1.0*(( np.maximum(((data["FLAG_DOCUMENT_4"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))/ 2.0))))))))
v["i399"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["te_FLAG_DOCUMENT_19"],(((((( data["te_FLAG_DOCUMENT_19"])-(((((((13.52401924133300781)) <(data["avg_buro_buro_bal_status_4"])) *1.))/ 2.0)))) -(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))*(data["avg_buro_buro_bal_status_4"]))))
v["i400"] = np.tanh(((data["avg_buro_buro_bal_status_4"])*(((((np.minimum(((data["cu__currency_4"])) ,(( data["te_FLAG_DOCUMENT_20"])))) -(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))-(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) ,(( data["cc_bal_SK_DPD"])))) * 2.0))))))
v["i401"] = np.tanh(((np.where(data["te_FLAG_DOCUMENT_19"]>0, data["te_FLAG_DOCUMENT_19"], data["avg_buro_buro_bal_status_4"])) *(( -1.0*(( np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["te_FLAG_DOCUMENT_19"], data["avg_buro_buro_bal_status_4"])))))))
v["i402"] = np.tanh(np.minimum(((((( data["NAME_GOODS_CATEGORY_Insurance"])>(np.maximum(((np.minimum(((( -1.0*(( data["cu__currency_4"]))))),(( data["NAME_GOODS_CATEGORY_Insurance"]))))),(( data["te_FLAG_DOCUMENT_19"])))))*1.))) ,(((( data["te_FLAG_DOCUMENT_19"])+(((( 4.89787912368774414)) -(data["cu__currency_4"]))))))))
v["i403"] = np.tanh(np.where(data["FLAG_DOCUMENT_10"]>0, data["inst_AMT_PAYMENT"],(((((( data["inst_AMT_PAYMENT"])*(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))+(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["inst_AMT_PAYMENT"])+(data["HOUR_APPR_PROCESS_START_y"])))))))* 2.0)))
v["i404"] = np.tanh(np.tanh(( np.tanh(( np.tanh(( np.tanh(((((( data["AMT_CREDIT_y"])+(((( -1.0*(( data["AMT_APPLICATION"])))) -(((( data["AMT_APPLICATION"])<(-1.0)) *1.))))))* 2.0))))))))))
v["i405"] = np.tanh(((data["NAME_CLIENT_TYPE_Repeater"])*(((0.036585)*(((((3.526320)*(((((data["NAME_CLIENT_TYPE_Repeater"])/ 2.0)) +(data["NAME_PRODUCT_TYPE_XNA"])))))* 2.0))))))
v["i406"] = np.tanh(((data["NAME_CONTRACT_TYPE_Revolving_loans"])*(((((0.680000)+(data["AMT_DOWN_PAYMENT"])))*(((data["inst_AMT_INSTALMENT"])*(data["NAME_PORTFOLIO_Cards"])))))))
v["i407"] = np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["inst_AMT_PAYMENT"])*(((( 8.0)) *(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(np.minimum(((data["NAME_PRODUCT_TYPE_XNA"])) ,(( data["NAME_PRODUCT_TYPE_XNA"])))))*1.))))))))* 2.0))
v["i408"] = np.tanh(((( 0.680000)<(((((((data["inst_AMT_INSTALMENT"])-(0.416667)))*(((( np.tanh(( data["inst_AMT_INSTALMENT"])))>(((( data["PRODUCT_COMBINATION_Card_X_Sell"])<(data["te_FLAG_DOCUMENT_19"])) *1.))) *1.))))/ 2.0)))*1.))
v["i409"] = np.tanh(np.minimum(((0.043478)) ,(( np.where(((((data["te_FLAG_DOCUMENT_19"])* 2.0)) +(data["PRODUCT_COMBINATION_Card_X_Sell"])) >0, np.tanh(( 14.800000)) ,(-1.0*(( data["PRODUCT_COMBINATION_Card_X_Sell"]))))))))
v["i410"] = np.tanh(((((data["te_FLAG_DOCUMENT_20"])+(np.tanh(( data["AMT_DOWN_PAYMENT"])))))*(((14.800000)*(((( 11.714300)<(((((data["AMT_DOWN_PAYMENT"])+(data["NAME_SELLER_INDUSTRY_XNA"])))+(data["NAME_SELLER_INDUSTRY_XNA"])))) *1.))))))
v["i411"] = np.tanh(((( -1.0*(((((data["NAME_GOODS_CATEGORY_Insurance"])+(((((((((data["te_FLAG_DOCUMENT_20"])/ 2.0)) +(data["NFLAG_INSURED_ON_APPROVAL"])) /2.0)) +(np.where(data["NAME_CONTRACT_STATUS_Approved"]>0, data["CNT_INSTALMENT"], 0.697674)))/2.0)))/2.0)))))/ 2.0))
v["i412"] = np.tanh(np.where(data["NAME_YIELD_GROUP_high"]>0,(((((0.686567)/ 2.0)) <(data["inst_NUM_INSTALMENT_VERSION"])) *1.) ,(((data["NAME_YIELD_GROUP_low_action"])>(((((((((data["inst_NUM_INSTALMENT_VERSION"])/ 2.0)) >(data["NAME_YIELD_GROUP_high"])) *1.))>(data["AMT_APPLICATION"])) *1.))) *1.)))
v["i413"] = np.tanh(((((((((((( data["DAYS_REGISTRATION"])/ 2.0)) >(0.680000)) *1.))-(0.062500)))-(((data["DAYS_REGISTRATION"])*(0.062500)))))-(((data["DAYS_REGISTRATION"])*(0.062500)))))
v["i414"] = np.tanh(np.minimum(((((((( data["inst_AMT_INSTALMENT"])>(0.339286)) *1.))*(( -1.0*(( data["PRODUCT_COMBINATION_POS_household_without_interest"]))))))),(( np.maximum(((data["NAME_YIELD_GROUP_low_normal"])) ,(( np.where(data["NAME_YIELD_GROUP_low_action"]>0, 0.043478, 0.797872))))))))
v["i415"] = np.tanh(((((( data["inst_AMT_PAYMENT"])>(0.494118)) *1.))*(np.minimum(((( -1.0*(((((((((data["inst_AMT_PAYMENT"])>(0.686567)) *1.))/ 2.0)) / 2.0)))))) ,(( data["NAME_YIELD_GROUP_low_normal"]))))))
v["i416"] = np.tanh(((( np.maximum(((np.where(((data["NAME_YIELD_GROUP_XNA"])*(data["AMT_DOWN_PAYMENT"])) >0, data["inst_AMT_INSTALMENT"],(-1.0*(( data["inst_AMT_INSTALMENT"])))))) ,(( 0.797872)))) <(((( 0.797872)<(data["inst_AMT_INSTALMENT"])) *1.))) *1.))
v["i417"] = np.tanh(np.minimum(((( -1.0*(((((3.526320)<(data["NAME_YIELD_GROUP_low_action"])) *1.)))))),(((( data["NAME_PRODUCT_TYPE_walk_in"])*(( -1.0*(( np.maximum(((((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) *(2.0)))) ,(( data["NAME_YIELD_GROUP_low_action"]))))))))))))
v["i418"] = np.tanh(((((data["DAYS_LAST_DUE"])*(np.where(-1.0>0, data["NAME_CASH_LOAN_PURPOSE_Business_development"],(((( 6.0)) <(((((( data["PRODUCT_COMBINATION_Card_Street"])+(2.235290)) /2.0)) * 2.0)))*1.))))) * 2.0))
v["i419"] = np.tanh(((((data["REG_CITY_NOT_LIVE_CITY"])*(((( np.maximum(((np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) ,(( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))) +(((data["te_FLAG_DOCUMENT_19"])*(data["PRODUCT_COMBINATION_Cash_X_Sell__low"])))) /2.0)))) -(((( 3.526320)<(data["PRODUCT_COMBINATION_Cash_X_Sell__low"])) *1.))))
v["i420"] = np.tanh(((np.minimum(((((data["NAME_YIELD_GROUP_high"])/ 2.0))),(( data["CHANNEL_TYPE_Car_dealer"])))) *(((((np.maximum(((np.tanh(( data["inst_AMT_PAYMENT"])))) ,(( data["CHANNEL_TYPE_Car_dealer"])))) * 2.0)) +(((( data["NAME_YIELD_GROUP_high"])+(data["CHANNEL_TYPE_Car_dealer"])) /2.0))))))
v["i421"] = np.tanh(((((( np.tanh(((( np.tanh(((((data["AMT_GOODS_PRICE_y"])>(0.576923)) *1.))))*(data["inst_AMT_INSTALMENT"])))))>(((( 1.857140)>(((data["AMT_ANNUITY"])*(data["CNT_INSTALMENT_FUTURE"])))) *1.))) *1.))* 2.0))
v["i422"] = np.tanh(( -1.0*(((((1.220590)<(((( -1.0*(((((-1.0*(((-1.0*(((((-1.0*(( data["CNT_INSTALMENT"])))) -(((data["FLAG_DOCUMENT_4"])/ 2.0)))))))))) -(0.031746)))))) / 2.0)))*1.)))))
v["i423"] = np.tanh(((( data["CNT_INSTALMENT_FUTURE"])<(((np.minimum(((data["inst_AMT_INSTALMENT"])) ,(((((((data["CNT_INSTALMENT_FUTURE"])/ 2.0)) >(( -1.0*(( 0.323944)))))*1.))))) -(1.220590)))) *1.))
v["i424"] = np.tanh(np.minimum(((((( data["CNT_INSTALMENT_FUTURE"])>(((3.0)+(data["NAME_YIELD_GROUP_middle"])))) *1.))) ,(((((( data["AMT_CREDIT_y"])-(np.minimum(((((data["NAME_YIELD_GROUP_middle"])* 2.0))),(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])/ 2.0)))))))/ 2.0)))))
v["i425"] = np.tanh(((((( data["te_FLAG_DOCUMENT_19"])<(((1.220590)*(((data["inst_AMT_PAYMENT"])+(-2.0)))))) *1.))*(((((data["inst_AMT_PAYMENT"])+(-2.0)))-(data["CNT_INSTALMENT"])))))
v["i426"] = np.tanh(((((np.minimum(((0.062500)) ,(( np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["NAME_SELLER_INDUSTRY_Connectivity"])))))))*(((( data["inst_AMT_PAYMENT"])+(np.minimum(((0.062500)) ,(( data["inst_AMT_PAYMENT"])))))/2.0)))) / 2.0))
v["i427"] = np.tanh(( -1.0*(( np.where(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"]>0,(( data["PRODUCT_COMBINATION_Card_X_Sell"])* 2.0),(((((data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])>(( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))*1.))* 2.0))))))
v["i428"] = np.tanh(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])>(((( np.minimum(((0.031746)) ,(((((data["NAME_GOODS_CATEGORY_Insurance"])+(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) /2.0)))))<(((data["cc_bal_AMT_PAYMENT_CURRENT"])-(data["NAME_GOODS_CATEGORY_Insurance"])))) *1.))) *1.))
v["i429"] = np.tanh(((((((( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])>(0.697674)) *1.))* 2.0)) *(np.minimum(((( -1.0*(( 0.0))))),(((( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])-(( 14.39841270446777344)))))))))
v["i430"] = np.tanh(((((( data["cc_bal_AMT_BALANCE"])*(data["cc_bal_CNT_DRAWINGS_CURRENT"])))>(((( data["cc_bal_CNT_DRAWINGS_CURRENT"])>(((data["cc_bal_AMT_BALANCE"])*(((((((( data["cc_bal_CNT_DRAWINGS_CURRENT"])/ 2.0)) / 2.0)) >(data["cc_bal_CNT_DRAWINGS_CURRENT"])) *1.))))) *1.))) *1.))
v["i431"] = np.tanh(((np.minimum(((0.323944)) ,(( np.minimum(((((data["inst_NUM_INSTALMENT_VERSION"])*(data["inst_NUM_INSTALMENT_VERSION"])))) ,(((((data["inst_NUM_INSTALMENT_VERSION"])+(0.686567)) /2.0)))))))) +(((( data["cc_bal_MONTHS_BALANCE"])>(1.105260)) *1.))))
v["i432"] = np.tanh(np.minimum(((((data["inst_AMT_PAYMENT"])*(( -1.0*(((((data["DAYS_FIRST_DRAWING"])<(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(((((( data["inst_AMT_PAYMENT"])*(data["inst_AMT_PAYMENT"])))>(( 11.87245082855224609)))*1.))))) *1.)))))))),(( 0.062500))))
v["i433"] = np.tanh(((((( data["cc_bal_AMT_PAYMENT_CURRENT"])-(( -1.0*(( 0.031746)))))) >(((((( data["cc_bal_AMT_PAYMENT_CURRENT"])*(data["te_FLAG_DOCUMENT_19"])))>(( -1.0*(((( 0.036585)* 2.0)))))) *1.))) *1.))
v["i434"] = np.tanh(( -1.0*(((((((np.minimum(((data["AMT_APPLICATION"])) ,(( data["YEARS_BUILD_AVG"])))) *(((( 1.0)>(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])) *1.))))>(((np.minimum(((data["AMT_APPLICATION"])) ,(( 0.043478)))) / 2.0)))*1.)))))
v["i435"] = np.tanh(((data["YEARS_BUILD_MEDI"])*(((((((( -1.0*(( 0.062500)))) >(((data["te_FLAG_DOCUMENT_19"])+(data["AMT_APPLICATION"])))) *1.))+(((data["te_FLAG_DOCUMENT_19"])*(((( -1.0)+(data["YEARS_BUILD_MEDI"])) /2.0)))))/2.0))))
v["i436"] = np.tanh(((np.where(data["AMT_CREDIT_y"]>0,(((((( 0.062500)+(( 10.65713787078857422)))/2.0)) +(data["AMT_CREDIT_y"])) /2.0), -3.0)) *(((( 3.526320)<(((data["AMT_ANNUITY"])-(0.494118)))) *1.))))
v["i437"] = np.tanh(((((data["inst_AMT_INSTALMENT"])*(((( np.where(((( data["AMT_APPLICATION"])>(( 7.21875619888305664)))*1.) >0, data["AMT_APPLICATION"], data["CNT_INSTALMENT_FUTURE"])) >(( 6.57621288299560547)))*1.))))* 2.0))
v["i438"] = np.tanh(((3.526320)*(((data["inst_AMT_INSTALMENT"])*(((( 3.526320)<(((( data["AMT_APPLICATION"])+(data["AMT_APPLICATION"])) /2.0)))*1.))))))
v["i439"] = np.tanh(np.minimum(((data["CHANNEL_TYPE_Car_dealer"])) ,(((((((((data["CHANNEL_TYPE_Car_dealer"])*(data["CHANNEL_TYPE_Car_dealer"])))*(((0.036585)*(data["NAME_SELLER_INDUSTRY_Connectivity"])))))+(( -1.0*(( data["CHANNEL_TYPE_Car_dealer"])))))/2.0)))))
v["i440"] = np.tanh(((((np.minimum(((((np.minimum(((((0.036585)* 2.0))),(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) * 2.0))),(( data["FLAG_DOCUMENT_4"])))) *(np.tanh(( data["DAYS_FIRST_DRAWING"])))))-(((data["FLAG_DOCUMENT_4"])/ 2.0))))
v["i441"] = np.tanh(( -1.0*(((( data["DAYS_LAST_DUE_1ST_VERSION"])*(((data["DAYS_LAST_DUE_1ST_VERSION"])*(((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])>(((((((( 0.576923)<(data["te_FLAG_DOCUMENT_19"])) *1.))/ 2.0)) * 2.0)))*1.)))))))))
v["i442"] = np.tanh(((((( 0.323944)<(data["inst_NUM_INSTALMENT_NUMBER"])) *1.))*(((((( data["inst_SK_ID_PREV"])<(((((( 0.494118)<(data["inst_NUM_INSTALMENT_NUMBER"])) *1.))*(0.494118)))) *1.))* 2.0))))
v["i443"] = np.tanh(np.where(data["cc_bal_AMT_DRAWINGS_CURRENT"]>0, 0.0,(((((( data["inst_NUM_INSTALMENT_NUMBER"])* 2.0)) *(((( 0.416667)<(((data["inst_NUM_INSTALMENT_NUMBER"])-(data["inst_SK_ID_PREV"])))) *1.))))* 2.0)))
v["i444"] = np.tanh(((np.minimum(((data["inst_AMT_INSTALMENT"])) ,(((((data["SK_ID_PREV_x"])+(np.minimum(((( -1.0*(( np.where(data["inst_AMT_INSTALMENT"]>0, data["inst_NUM_INSTALMENT_NUMBER"], data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))) ,(( 0.036585)))))/2.0)))))/ 2.0))
v["i445"] = np.tanh(((((( -1.0*(((( data["inst_AMT_PAYMENT"])* 2.0)))))+(np.tanh(( 0.686567)))))*(((np.minimum(((data["inst_AMT_PAYMENT"])) ,(( np.minimum(((data["inst_AMT_PAYMENT"])) ,(( 0.062500)))))))*(data["PRODUCT_COMBINATION_Cash_Street__low"])))))
v["i446"] = np.tanh(np.where(data["NAME_CONTRACT_STATUS_Canceled"]>0, np.where(data["te_FLAG_EMAIL"]>0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"],(((0.494118)<(data["CNT_INSTALMENT_FUTURE"])) *1.)), np.minimum(((((( 0.494118)<(data["CNT_INSTALMENT_FUTURE"])) *1.))) ,(( 0.494118)))))
v["i447"] = np.tanh(((np.minimum(((0.680000)) ,(((-1.0*(( np.where(( -1.0*(( data["NAME_SELLER_INDUSTRY_Connectivity"])))>0,(((data["CNT_PAYMENT"])>(2.235290)) *1.) ,(((0.043478)<(-2.0)) *1.))))))))) * 2.0))
v["i448"] = np.tanh(np.where(((( data["PRODUCT_COMBINATION_Cash_Street__low"])>(np.tanh(((6.05926561355590820)))))*1.) >0,(((data["AMT_APPLICATION"])+(data["AMT_CREDIT_y"])) /2.0), np.minimum(((( -1.0*(( data["PRODUCT_COMBINATION_Cash_Street__low"]))))),(((( data["PRODUCT_COMBINATION_Cash_Street__low"])*(data["CNT_INSTALMENT"])))))))
v["i449"] = np.tanh(((np.where(((( 2.235290)>(data["CNT_INSTALMENT_FUTURE"])) *1.) >0,(((data["CNT_PAYMENT"])>(3.0)) *1.) ,(((data["CNT_INSTALMENT_FUTURE"])>(3.0)) *1.))) * 2.0))
v["i450"] = np.tanh(np.minimum(((((data["te_FLAG_DOCUMENT_19"])*(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(data["PRODUCT_COMBINATION_Cash_Street__low"])) *1.))))) ,(((((( data["te_FLAG_DOCUMENT_19"])*(np.maximum(((data["PRODUCT_COMBINATION_Cash_Street__low"])) ,(( data["te_FLAG_DOCUMENT_19"])))))) *(data["NAME_CASH_LOAN_PURPOSE_XNA"]))))))
v["i451"] = np.tanh(((((((np.maximum(((data["cc_bal_AMT_DRAWINGS_CURRENT"])) ,(((-1.0*(( 0.043478)))))))*(((1.220590)-(data["NAME_CASH_LOAN_PURPOSE_Education"])))))+(((data["te_FLAG_DOCUMENT_19"])/ 2.0)))) *(data["NAME_CASH_LOAN_PURPOSE_Education"])))
v["i452"] = np.tanh(np.minimum(((((((((2.0)) +(0.036585)))>(((( data["cc_bal_AMT_BALANCE"])+(data["te_FLAG_DOCUMENT_19"])) /2.0)))*1.))) ,(((((data["cc_bal_AMT_BALANCE"])>(((( 2.0)) +(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) *1.)))))
v["i453"] = np.tanh(((( 0.062500)<(np.where(((data["DAYS_LAST_DUE_1ST_VERSION"])-(0.323944)) >0,(((( data["DAYS_LAST_DUE_1ST_VERSION"])-(0.339286)))*(((( data["NAME_SELLER_INDUSTRY_Connectivity"])>(data["DAYS_LAST_DUE_1ST_VERSION"])) *1.))) , data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))*1.))
v["i454"] = np.tanh(np.tanh(( np.tanh(((( data["DAYS_FIRST_DRAWING"])*(np.tanh(((((((data["DAYS_FIRST_DRAWING"])<(((((-1.0*(( data["DAYS_FIRST_DRAWING"])))) <(data["inst_NUM_INSTALMENT_NUMBER"])) *1.))) *1.))*(data["inst_NUM_INSTALMENT_NUMBER"])))))))))))
v["i455"] = np.tanh(((((((((data["cc_bal_AMT_DRAWINGS_CURRENT"])>(((( data["te_FLAG_DOCUMENT_19"])+(data["inst_AMT_PAYMENT"])) /2.0)))*1.))<(data["cc_bal_AMT_DRAWINGS_CURRENT"])) *1.))*(((((data["inst_AMT_PAYMENT"])* 2.0)) *(( -1.0*(( 1.857140))))))))
v["i456"] = np.tanh(np.where(data["inst_SK_ID_PREV"]>0,(((np.where(data["inst_SK_ID_PREV"]>0, 3.0, 1.105260)) <(data["inst_SK_ID_PREV"])) *1.) ,(((((( data["cc_bal_AMT_PAYMENT_CURRENT"])* 2.0)) * 2.0)) * 2.0)))
v["i457"] = np.tanh(np.where(((( data["ty__Loan_for_working_capital_replenishment"])<(data["FLAG_DOCUMENT_10"])) *1.) >0, np.where(data["NAME_PORTFOLIO_Cards"]>0,(-1.0*(( data["CHANNEL_TYPE_Car_dealer"]))), data["cc_bal_AMT_DRAWINGS_CURRENT"]), np.maximum(((((data["ty__Loan_for_working_capital_replenishment"])* 2.0))),(( data["cc_bal_AMT_DRAWINGS_CURRENT"])))))
v["i458"] = np.tanh(((data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])*(np.minimum(((( -1.0*(((( data["cc_bal_CNT_DRAWINGS_CURRENT"])*(((data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])*(data["cc_bal_AMT_DRAWINGS_POS_CURRENT"]))))))))),(( data["cc_bal_AMT_DRAWINGS_POS_CURRENT"]))))))
v["i459"] = np.tanh(np.maximum(((((data["ty__Loan_for_working_capital_replenishment"])*(-2.0)))) ,(( np.maximum(((((data["ty__Loan_for_working_capital_replenishment"])*(data["SK_ID_PREV_y"])))) ,(((((data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])+(((0.036585)+(-2.0)))) /2.0))))))))
v["i460"] = np.tanh(((((((((( data["cc_bal_AMT_DRAWINGS_CURRENT"])<(data["cc_bal_AMT_PAYMENT_CURRENT"])) *1.))* 2.0)) * 2.0)) *(np.minimum(((data["cc_bal_AMT_PAYMENT_CURRENT"])) ,(((( 0.043478)-(np.minimum(((data["te_FLAG_DOCUMENT_19"])) ,(( data["cc_bal_AMT_DRAWINGS_CURRENT"])))))))))))
v["i461"] = np.tanh(((((((((((data["te_FLAG_DOCUMENT_19"])*(((( data["cc_bal_AMT_PAYMENT_CURRENT"])>(np.maximum(((((data["te_FLAG_DOCUMENT_19"])+(2.0)))) ,(( 0.697674)))))*1.))))* 2.0)) * 2.0)) * 2.0)) * 2.0))
v["i462"] = np.tanh(((( -1.0*(( np.where(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"]>0,(((data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])>(( 1.95135760307312012)))*1.) ,(((-1.0*(((((( 1.95135760307312012)) <(data["cc_bal_AMT_DRAWINGS_CURRENT"])) *1.))))) / 2.0)))))) * 2.0))
v["i463"] = np.tanh(((((np.where(np.minimum(((data["cc_bal_AMT_PAYMENT_CURRENT"])) ,(( data["ty__Loan_for_working_capital_replenishment"])))>0, 1.857140, data["FLAG_DOCUMENT_10"])) * 2.0)) *(((( data["NAME_YIELD_GROUP_high"])<(( -1.0*(( 0.576923)))))*1.))))
v["i464"] = np.tanh(((data["te_FONDKAPREMONT_MODE"])*(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(np.where(data["cc_bal_AMT_DRAWINGS_CURRENT"]>0, data["cc_bal_AMT_DRAWINGS_CURRENT"], data["ty__Loan_for_working_capital_replenishment"])))) +(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0))))))
v["i465"] = np.tanh(((( -1.0*(((((((( data["ty__Loan_for_working_capital_replenishment"])+(data["cc_bal_AMT_DRAWINGS_CURRENT"])) /2.0)) +(((data["ty__Loan_for_working_capital_replenishment"])*(( -1.0*(((((data["cc_bal_AMT_DRAWINGS_CURRENT"])+(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)))/2.0)))))))) /2.0)))))/ 2.0))
v["i466"] = np.tanh(((((((((-1.0*(((( data["ty__Real_estate_loan"])-(( -1.0*(( data["cc_bal_AMT_PAYMENT_CURRENT"])))))))))+(data["te_FLAG_DOCUMENT_19"])))>(((( data["cc_bal_AMT_PAYMENT_CURRENT"])<(data["te_FLAG_DOCUMENT_19"])) *1.))) *1.))* 2.0))
v["i467"] = np.tanh(((((((data["cc_bal_AMT_PAYMENT_CURRENT"])* 2.0)) *(((2.0)* 2.0)))) *(((((((( -1.0*(( 0.576923)))) +(data["cc_bal_AMT_TOTAL_RECEIVABLE"])) /2.0)) >(data["cc_bal_AMT_TOTAL_RECEIVABLE"])) *1.))))
v["i468"] = np.tanh(((data["ty__Loan_for_working_capital_replenishment"])+(np.where(((data["cc_bal_SK_DPD_DEF"])+(data["NAME_GOODS_CATEGORY_Insurance"])) >0, data["cc_bal_AMT_DRAWINGS_CURRENT"],(((((( data["cc_bal_AMT_DRAWINGS_CURRENT"])* 2.0)) *(data["ty__Loan_for_working_capital_replenishment"])))* 2.0)))))
v["i469"] = np.tanh(((((( 3.526320)<(((np.maximum(((((3.526320)/ 2.0))),(( data["cc_bal_AMT_INST_MIN_REGULARITY"])))) -(((data["te_FLAG_DOCUMENT_19"])*(( -1.0*(( 3.526320)))))))))*1.))*(((data["cc_bal_AMT_INST_MIN_REGULARITY"])/ 2.0))))
v["i470"] = np.tanh(( -1.0*(( np.where(data["ty__Loan_for_working_capital_replenishment"]>0,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(((( data["SK_ID_PREV_y"])<(np.tanh(( -3.0)))) *1.))) , data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))
v["i471"] = np.tanh(((np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) *(((((( 14.800000)+(((( 14.800000)+(((((-1.0*(( data["cc_bal_SK_DPD_DEF"])))) +(data["te_FLAG_DOCUMENT_19"])) /2.0)))/2.0)))/2.0)) *(data["cc_bal_AMT_DRAWINGS_CURRENT"])))))
v["i472"] = np.tanh(((((( data["cc_bal_AMT_PAYMENT_CURRENT"])>(((2.235290)-(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((((data["cc_bal_AMT_PAYMENT_CURRENT"])-(np.minimum(((0.494118)) ,(( data["cc_bal_AMT_PAYMENT_CURRENT"])))))) * 2.0)))))))*1.))* 2.0))
v["i473"] = np.tanh(((((((((((np.where(data["ty__Real_estate_loan"]>0,(( data["NAME_GOODS_CATEGORY_Insurance"])* 2.0),(( data["NAME_GOODS_CATEGORY_Insurance"])*(data["ty__Loan_for_working_capital_replenishment"])))) / 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0))
v["i474"] = np.tanh(((data["ty__Loan_for_working_capital_replenishment"])*(((( np.maximum(((np.tanh(( data["ty__Loan_for_working_capital_replenishment"])))) ,(( data["FLAG_DOCUMENT_4"])))) +(((((data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])*(data["ty__Loan_for_working_capital_replenishment"])))-(data["FLAG_DOCUMENT_10"])))) /2.0))))
v["i475"] = np.tanh(((( -1.0*(((((((14.800000)* 2.0)) <(((data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])+(((((( 1.98723483085632324)) *(data["ty__Loan_for_working_capital_replenishment"])))+(((data["FLAG_DOCUMENT_10"])+(data["ty__Loan_for_working_capital_replenishment"])))))))) *1.))))) * 2.0))
v["i476"] = np.tanh(np.where(((( data["ty__Loan_for_working_capital_replenishment"])>(( 10.0)))*1.) >0,(-1.0*(( np.maximum(((data["ty__Loan_for_working_capital_replenishment"])) ,(( np.maximum(((data["ty__Loan_for_working_capital_replenishment"])) ,(( data["ty__Loan_for_working_capital_replenishment"]))))))))), np.maximum(((data["ty__Loan_for_working_capital_replenishment"])) ,(((-1.0*(( data["ty__Loan_for_working_capital_replenishment"]))))))))
v["i477"] = np.tanh(np.minimum(((((((((data["avg_buro_buro_bal_status_1"])*(data["EXT_SOURCE_3"])))*(data["EXT_SOURCE_3"])))*(data["EXT_SOURCE_3"])))) ,(((((((data["avg_buro_buro_bal_status_1"])*(data["EXT_SOURCE_3"])))>(np.tanh(( 0.680000)))) *1.)))))
v["i478"] = np.tanh(((data["te_FLAG_DOCUMENT_19"])*(np.where(((( data["avg_buro_buro_bal_status_3"])>(((data["te_FLAG_DOCUMENT_19"])+(1.220590)))) *1.) >0, 14.800000,(-1.0*(((( data["avg_buro_buro_bal_status_3"])*(data["te_FLAG_DOCUMENT_19"])))))))))
v["i479"] = np.tanh(( -1.0*(((((( data["FLAG_DOCUMENT_19"])* 2.0)) *(((( data["FLAG_DOCUMENT_3"])+(((((( data["FLAG_DOCUMENT_3"])+(((data["te_FLAG_DOCUMENT_19"])+(((data["FLAG_DOCUMENT_19"])/ 2.0)))))/2.0)) / 2.0)))/2.0)))))))
v["i480"] = np.tanh(((((data["te_FLAG_DOCUMENT_19"])+(((data["CODE_REJECT_REASON_SYSTEM"])*(data["NAME_TYPE_SUITE_Other_B"])))))*(((data["NAME_TYPE_SUITE_Other_B"])-(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(data["CODE_REJECT_REASON_SYSTEM"])))))))
v["i481"] = np.tanh(((((((data["te_FLAG_DOCUMENT_17"])-(data["te_FLAG_DOCUMENT_10"])))*(11.714300)))*(np.where(((data["te_FLAG_DOCUMENT_17"])-(data["te_FLAG_DOCUMENT_10"])) >0,(( data["te_FLAG_DOCUMENT_10"])* 2.0), data["te_SK_ID_CURR"]))))
v["i482"] = np.tanh(((((( data["cc_bal_cc_bal_status__Refused"])* 2.0)) >(((( data["SK_ID_PREV_y"])>(( -1.0*(( np.maximum(((0.043478)) ,(((((2.235290)>(( -1.0*(( 14.800000)))))*1.))))))))) *1.))) *1.))
v["i483"] = np.tanh(((np.maximum(((np.tanh(( np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((( data["inst_AMT_PAYMENT"])*(data["Active"]))))))))),(( 0.0)))) *(((data["Completed"])*(data["Active"])))))
v["i484"] = np.tanh(np.minimum(((np.tanh(((((0.043478)>(data["inst_AMT_PAYMENT"])) *1.))))) ,(((( np.where(data["inst_AMT_PAYMENT"]>0, data["te_FLAG_DOCUMENT_19"],(((-1.0*(((((0.043478)+(data["inst_AMT_PAYMENT"])) /2.0)))))* 2.0)))/ 2.0)))))
v["i485"] = np.tanh(np.minimum(((((np.tanh(( data["inst_AMT_INSTALMENT"])))+(0.323944)))) ,(((( data["inst_AMT_INSTALMENT"])*(np.where(((( data["AMT_GOODS_PRICE_y"])+(0.031746)) /2.0)>0, 0.043478, data["inst_AMT_INSTALMENT"])))))))
v["i486"] = np.tanh(((((((((( 0.036585)*(((((data["DAYS_FIRST_DRAWING"])*(((((data["te_REG_REGION_NOT_LIVE_REGION"])/ 2.0)) / 2.0)))) * 2.0)))) >(((( data["inst_AMT_PAYMENT"])+(data["DAYS_FIRST_DRAWING"])) /2.0)))*1.))/ 2.0)) / 2.0))
v["i487"] = np.tanh(np.minimum(((((( 0.043478)+(np.tanh(((-1.0*(((((data["EXT_SOURCE_3"])<(( -1.0*(( np.where(data["NAME_YIELD_GROUP_high"]>0, data["AMT_GOODS_PRICE_y"], 0.686567)))))) *1.))))))))/2.0))),(( 0.043478))))
v["i488"] = np.tanh(((((((((( -2.0)>(np.minimum(((((( data["te_FLAG_DOCUMENT_20"])<(0.036585)) *1.))) ,(( data["DAYS_CREDIT"])))))*1.))* 2.0)) *(np.maximum(((data["inst_AMT_PAYMENT"])) ,(( data["te_FLAG_DOCUMENT_20"])))))) * 2.0))
v["i489"] = np.tanh(((((((data["DAYS_CREDIT"])-(((data["DAYS_CREDIT_UPDATE"])*(data["DAYS_CREDIT_UPDATE"])))))/ 2.0)) *(((((( data["DAYS_CREDIT"])+(((data["DAYS_CREDIT_UPDATE"])*(np.tanh(( data["DAYS_CREDIT"])))))) /2.0)) / 2.0))))
v["i490"] = np.tanh(((((data["DAYS_CREDIT"])*(data["NAME_SELLER_INDUSTRY_Connectivity"])))*(((((data["te_FLAG_CONT_MOBILE"])*(((( 0.494118)<(data["te_FLAG_CONT_MOBILE"])) *1.))))-(data["te_FLAG_CONT_MOBILE"])))))
v["i491"] = np.tanh(((((data["DAYS_CREDIT"])*(np.maximum(((((0.062500)*(((data["inst_AMT_PAYMENT"])-(((data["DAYS_CREDIT"])*(((data["DAYS_CREDIT"])*(data["inst_AMT_PAYMENT"])))))))))) ,(( 0.062500)))))) * 2.0))
v["i492"] = np.tanh(((0.062500)*(np.where(data["inst_AMT_PAYMENT"]>0,(( np.minimum(((( -1.0*(( data["inst_AMT_PAYMENT"]))))),(( data["te_FLAG_DOCUMENT_20"])))) * 2.0),(-1.0*(((( data["te_FLAG_CONT_MOBILE"])-(data["inst_AMT_PAYMENT"])))))))))
v["i493"] = np.tanh(np.where(((0.797872)-(data["DAYS_CREDIT_UPDATE"])) >0,(((((( data["AMT_CREDIT_x"])/ 2.0)) *(data["AMT_CREDIT_x"])))*(data["inst_AMT_INSTALMENT"])) ,(( 0.0)-(((data["AMT_CREDIT_x"])/ 2.0)))))
v["i494"] = np.tanh(((((0.339286)*(((((((( data["DAYS_DECISION"])/ 2.0)) >(data["AMT_CREDIT_x"])) *1.))-(data["DAYS_DECISION"])))))*(data["AMT_CREDIT_x"])))
v["i495"] = np.tanh(((((((( 0.062500)>(data["DAYS_CREDIT_UPDATE"])) *1.))*(((np.maximum(((data["NAME_SELLER_INDUSTRY_Connectivity"])) ,(((((0.036585)>(data["inst_AMT_PAYMENT"])) *1.))))) / 2.0)))) *(((1.220590)/ 2.0))))
v["i496"] = np.tanh(((( -1.0*(( data["te_FLAG_DOCUMENT_11"])))) *(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, 0.494118, np.minimum(((data["te_FLAG_DOCUMENT_11"])) ,(( 11.714300)))))))
v["i497"] = np.tanh(np.where(data["PRODUCT_COMBINATION_POS_mobile_without_interest"]>0, np.minimum(((np.minimum(((data["inst_AMT_PAYMENT"])) ,(( data["PRODUCT_COMBINATION_POS_mobile_without_interest"]))))),(( 0.043478))), np.minimum(((0.043478)) ,(( np.maximum(((data["PRODUCT_COMBINATION_Cash"])) ,(((-1.0*(( data["inst_AMT_PAYMENT"])))))))))))
v["i498"] = np.tanh(((np.where(np.where(data["AMT_GOODS_PRICE_y"]>0, data["te_FLAG_DOCUMENT_20"], 0.036585)>0, 0.036585,(((np.tanh(( data["te_FLAG_OWN_CAR"])))+(data["AMT_GOODS_PRICE_y"])) /2.0)))*(data["AMT_GOODS_PRICE_y"])))
v["i499"] = np.tanh(((11.714300)*(((((( data["cc_bal_AMT_DRAWINGS_CURRENT"])*(np.minimum(((data["CNT_INSTALMENT"])) ,(((((1.0)<(np.minimum(((data["CNT_INSTALMENT"])) ,(( data["cc_bal_AMT_DRAWINGS_CURRENT"])))))*1.))))))) >(0.494118)) *1.))))
v["i500"] = np.tanh(((( -1.0*(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) *(((( 3.0)<(((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])+(((((( 2.0)<(data["cc_bal_AMT_DRAWINGS_CURRENT"])) *1.))* 2.0)))/2.0)))*1.))))
v["i501"] = np.tanh(((((((data["te_FLAG_OWN_CAR"])/ 2.0)) / 2.0)) *(((((((data["NAME_CONTRACT_STATUS_Canceled"])/ 2.0)) *(data["NAME_GOODS_CATEGORY_Insurance"])))-(((data["NAME_CONTRACT_STATUS_Canceled"])/ 2.0))))))
v["i502"] = np.tanh(((((data["inst_AMT_PAYMENT"])*(data["NAME_CONTRACT_STATUS_Canceled"])))*(np.minimum(((( 4.64522552490234375))),(((-1.0*(( data["cc_bal_AMT_INST_MIN_REGULARITY"])))))))))
v["i503"] = np.tanh(( -1.0*(((( np.maximum(((((( -1.0*(( data["CNT_INSTALMENT"])))) *(0.339286)))) ,(((((( 6.0)) <(data["inst_AMT_PAYMENT"])) *1.))))) *(np.maximum(((data["NAME_CONTRACT_STATUS_Canceled"])) ,(( data["CNT_INSTALMENT"])))))))))
v["i504"] = np.tanh(np.minimum(((((( 0.043478)+(((3.526320)-(data["PRODUCT_COMBINATION_Cash"])))) /2.0))),(((((( 0.043478)*(((data["PRODUCT_COMBINATION_Cash"])-(data["te_FLAG_OWN_CAR"])))))* 2.0)))))
v["i505"] = np.tanh(np.minimum(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["DAYS_LAST_DUE_1ST_VERSION"])))) ,(((((( 3.526320)*(data["DAYS_LAST_DUE_1ST_VERSION"])))*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(np.tanh(((((2.235290)<(data["CNT_INSTALMENT"])) *1.))))) /2.0)))))))
v["i506"] = np.tanh(np.minimum(((np.maximum(((((((-1.0*(( data["ca__Closed"])))) <(data["ca__Closed"])) *1.))) ,(( data["CNT_INSTALMENT_FUTURE"]))))),(((((data["ty__Credit_card"])>(np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(( 0.416667)))))*1.)))))
v["i507"] = np.tanh(((((( data["te_FLAG_DOCUMENT_19"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+(np.where(data["te_FLAG_DOCUMENT_19"]>0,(( data["te_FLAG_DOCUMENT_19"])*(data["NAME_GOODS_CATEGORY_Insurance"])) , data["cc_bal_AMT_INST_MIN_REGULARITY"])))/2.0))
v["i508"] = np.tanh(((((( data["cc_bal_AMT_INST_MIN_REGULARITY"])>(np.maximum(((data["cc_bal_AMT_DRAWINGS_CURRENT"])) ,(( 0.494118)))))*1.))*(( -1.0*(((((np.maximum(((data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])) ,(( 0.494118)))) >(((data["cc_bal_AMT_TOTAL_RECEIVABLE"])-(0.0)))) *1.)))))))
v["i509"] = np.tanh(((( -1.0*(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *(((( -1.0*(( data["ty__Real_estate_loan"])))) -(((( data["te_FLAG_DOCUMENT_19"])+(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(((data["ty__Interbank_credit"])+(data["FLAG_DOCUMENT_10"])))))) /2.0))))))
v["i510"] = np.tanh(np.where(data["CNT_CREDIT_PROLONG"]>0, data["te_FLAG_DOCUMENT_19"], np.minimum(((((np.maximum(((np.minimum(((( -1.0*(( data["te_FLAG_DOCUMENT_19"]))))),(( 0.323944))))),(( data["CNT_CREDIT_PROLONG"])))) *(data["AMT_REQ_CREDIT_BUREAU_MON"])))) ,(((( 1.0)* 2.0))))))
v["i511"] = np.tanh(( -1.0*(( np.maximum(((((( data["CNT_CREDIT_PROLONG"])>(((( 9.95406532287597656)) +(((data["FLAG_DOCUMENT_15"])-(np.maximum(((data["FLAG_DOCUMENT_15"])) ,(( data["NAME_GOODS_CATEGORY_Education"])))))))))*1.))) ,(((( data["FLAG_DOCUMENT_15"])-(data["CNT_CREDIT_PROLONG"])))))))))
return v | Home Credit Default Risk |
1,078,102 | import gc
import os
from pathlib import Path
import sys
import collections
import pandas as pd
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
from tqdm import tqdm_notebook as tqdm
import joblib
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.model_selection import train_test_split, StratifiedKFold, KFold
from sklearn.pipeline import FeatureUnion, Pipeline, make_pipeline
from sklearn.preprocessing import OneHotEncoder, QuantileTransformer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_selection import SelectFromModel
from sklearn.decomposition import TruncatedSVD
from sklearn.metrics import mean_squared_error
import category_encoders as ce
import lightgbm as lgbm
<set_options> | gc.enable()
buro_bal = pd.read_csv('.. /input/bureau_balance.csv')
print('Buro bal shape : ', buro_bal.shape)
print('transform to dummies')
buro_bal = pd.concat([buro_bal, pd.get_dummies(buro_bal.STATUS, prefix='buro_bal_status')], axis=1 ).drop('STATUS', axis=1)
print('Counting buros')
buro_counts = buro_bal[['SK_ID_BUREAU', 'MONTHS_BALANCE']].groupby('SK_ID_BUREAU' ).count()
buro_bal['buro_count'] = buro_bal['SK_ID_BUREAU'].map(buro_counts['MONTHS_BALANCE'])
print('averaging buro bal')
avg_buro_bal = buro_bal.groupby('SK_ID_BUREAU' ).mean()
avg_buro_bal.columns = ['avg_buro_' + f_ for f_ in avg_buro_bal.columns]
del buro_bal
gc.collect()
print('Read Bureau')
buro = pd.read_csv('.. /input/bureau.csv')
print('Go to dummies')
buro_credit_active_dum = pd.get_dummies(buro.CREDIT_ACTIVE, prefix='ca_')
buro_credit_currency_dum = pd.get_dummies(buro.CREDIT_CURRENCY, prefix='cu_')
buro_credit_type_dum = pd.get_dummies(buro.CREDIT_TYPE, prefix='ty_')
buro_full = pd.concat([buro, buro_credit_active_dum, buro_credit_currency_dum, buro_credit_type_dum], axis=1)
del buro_credit_active_dum, buro_credit_currency_dum, buro_credit_type_dum
gc.collect()
print('Merge with buro avg')
buro_full = buro_full.merge(right=avg_buro_bal.reset_index() , how='left', on='SK_ID_BUREAU', suffixes=('', '_bur_bal'))
print('Counting buro per SK_ID_CURR')
nb_bureau_per_curr = buro_full[['SK_ID_CURR', 'SK_ID_BUREAU']].groupby('SK_ID_CURR' ).count()
buro_full['SK_ID_BUREAU'] = buro_full['SK_ID_CURR'].map(nb_bureau_per_curr['SK_ID_BUREAU'])
print('Averaging bureau')
avg_buro = buro_full.groupby('SK_ID_CURR' ).mean()
print(avg_buro.head())
del buro, buro_full
gc.collect()
print('Read prev')
prev = pd.read_csv('.. /input/previous_application.csv')
prev_cat_features = [
f_ for f_ in prev.columns if prev[f_].dtype == 'object'
]
print('Go to dummies')
prev_dum = pd.DataFrame()
for f_ in prev_cat_features:
prev_dum = pd.concat([prev_dum, pd.get_dummies(prev[f_], prefix=f_ ).astype(np.uint8)], axis=1)
prev = pd.concat([prev, prev_dum], axis=1)
del prev_dum
gc.collect()
print('Counting number of Prevs')
nb_prev_per_curr = prev[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
prev['SK_ID_PREV'] = prev['SK_ID_CURR'].map(nb_prev_per_curr['SK_ID_PREV'])
print('Averaging prev')
avg_prev = prev.groupby('SK_ID_CURR' ).mean()
print(avg_prev.head())
del prev
gc.collect()
print('Reading POS_CASH')
pos = pd.read_csv('.. /input/POS_CASH_balance.csv')
print('Go to dummies')
pos = pd.concat([pos, pd.get_dummies(pos['NAME_CONTRACT_STATUS'])], axis=1)
print('Compute nb of prevs per curr')
nb_prevs = pos[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
pos['SK_ID_PREV'] = pos['SK_ID_CURR'].map(nb_prevs['SK_ID_PREV'])
print('Go to averages')
avg_pos = pos.groupby('SK_ID_CURR' ).mean()
del pos, nb_prevs
gc.collect()
print('Reading CC balance')
cc_bal = pd.read_csv('.. /input/credit_card_balance.csv')
print('Go to dummies')
cc_bal = pd.concat([cc_bal, pd.get_dummies(cc_bal['NAME_CONTRACT_STATUS'], prefix='cc_bal_status_')], axis=1)
nb_prevs = cc_bal[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
cc_bal['SK_ID_PREV'] = cc_bal['SK_ID_CURR'].map(nb_prevs['SK_ID_PREV'])
print('Compute average')
avg_cc_bal = cc_bal.groupby('SK_ID_CURR' ).mean()
avg_cc_bal.columns = ['cc_bal_' + f_ for f_ in avg_cc_bal.columns]
del cc_bal, nb_prevs
gc.collect()
print('Reading Installments')
inst = pd.read_csv('.. /input/installments_payments.csv')
nb_prevs = inst[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
inst['SK_ID_PREV'] = inst['SK_ID_CURR'].map(nb_prevs['SK_ID_PREV'])
avg_inst = inst.groupby('SK_ID_CURR' ).mean()
avg_inst.columns = ['inst_' + f_ for f_ in avg_inst.columns]
print('Read data and test')
data = pd.read_csv('.. /input/application_train.csv')
test = pd.read_csv('.. /input/application_test.csv')
print('Shapes : ', data.shape, test.shape)
print('Read data and test')
train = pd.read_csv('.. /input/application_train.csv')
test = pd.read_csv('.. /input/application_test.csv')
print('Shapes : ', train.shape, train.shape)
categorical_feats = [
f for f in data.columns if data[f].dtype == 'object'
]
categorical_feats
for f_ in categorical_feats:
train[f_], indexer = pd.factorize(train[f_])
test[f_] = indexer.get_indexer(test[f_])
train = train.merge(right=avg_buro.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_buro.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_prev.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_prev.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_pos.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_pos.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_cc_bal.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_cc_bal.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_inst.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_inst.reset_index() , how='left', on='SK_ID_CURR')
del avg_buro, avg_prev
gc.collect()
ID = test.SK_ID_CURR | Home Credit Default Risk |
1,078,102 | %matplotlib inline
plt.rcParams["figure.figsize"] =(15, 5)
pd.options.display.max_columns = 50<define_variables> | train.columns = train.columns.str.replace('[^A-Za-z0-9_]', '_')
test.columns = test.columns.str.replace('[^A-Za-z0-9_]', '_' ) | Home Credit Default Risk |
1,078,102 | VERSION = "1.6.6"<define_variables> | floattypes = []
inttypes = []
stringtypes = []
for c in test.columns:
if(train[c].dtype=='object'):
train[c] = train[c].astype('str')
stringtypes.append(c)
elif(train[c].dtype=='int64'):
train[c] = train[c].astype('int32')
inttypes.append(c)
else:
train[c] = train[c].astype('float32')
floattypes.append(c)
train = train.reset_index(drop=True)
test = test.reset_index(drop=True ) | Home Credit Default Risk |
1,078,102 | IS_KAGGLE = "KAGGLE_URL_BASE" in os.environ
print(f"IS_KAGGLE: {IS_KAGGLE}")
USE_GPU = "NVIDIA_VISIBLE_DEVICES" in os.environ
print(f"USE_GPU: {USE_GPU}")
USE_CACHE = False<load_from_csv> | kf = KFold(n_splits=5, shuffle=True, random_state=42)
for col in stringtypes:
train['te_'+col] = 0.
test['te_'+col] = 0.
SMOOTHING = test[~test[col].isin(train[col])].shape[0]/test.shape[0]
for f,(vis_index, blind_index)in enumerate(kf.split(train)) :
_, train.loc[blind_index, 'te_'+col] = target_encode(train.loc[vis_index, col],
train.loc[blind_index, col],
target=train.loc[vis_index,'TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0)
_, x = target_encode(train.loc[vis_index, col],
test[col],
target=train.loc[vis_index,'TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0)
test['te_'+col] += (.2*x ) | Home Credit Default Risk |
1,078,102 | train = pd.read_csv(".. /input/exam-for-students20200129/train.csv", index_col=0, na_values="" ).pipe(reduce_mem_usage)
X_test = pd.read_csv(".. /input/exam-for-students20200129/test.csv", index_col=0, na_values="" ).pipe(reduce_mem_usage )<load_from_csv> | kf = KFold(n_splits=5, shuffle=True, random_state=42)
for col in inttypes:
train['te_'+col] = 0.
test['te_'+col] = 0.
SMOOTHING = test[~test[col].isin(train[col])].shape[0]/test.shape[0]
for f,(vis_index, blind_index)in enumerate(kf.split(train)) :
_, train.loc[blind_index, 'te_'+col] = target_encode(train.loc[vis_index, col],
train.loc[blind_index, col],
target=train.loc[vis_index,'TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0)
_, x = target_encode(train.loc[vis_index, col],
test[col],
target=train.loc[vis_index,'TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0)
test['te_'+col] += (.2*x ) | Home Credit Default Risk |
1,078,102 | df_country = pd.read_csv(".. /input/exam-for-students20200129/country_info.csv", decimal="," ).pipe(reduce_mem_usage )<data_type_conversions> | ntrainrows = train.shape[0]
test.insert(1,'TARGET',-1)
alldata = pd.concat([train,test])
del train ,test
gc.collect() | Home Credit Default Risk |
1,078,102 | df_country["GDP($ per capita)"] = df_country["GDP($ per capita)"].astype(np.float32 )<merge> | alldata['nans'] = alldata.isnull().sum(axis=1 ) | Home Credit Default Risk |
1,078,102 | train = train.reset_index().merge(df_country, how="left", on="Country" ).set_index("Respondent")
X_test = X_test.reset_index().merge(df_country, how="left", on="Country" ).set_index("Respondent" )<prepare_x_and_y> | for col in inttypes[1:]:
x = alldata[col].value_counts().reset_index(drop=False)
x.columns = [col,'cnt_'+col]
x['cnt_'+col]/=alldata.shape[0]
alldata = alldata.merge(x,on=col,how='left' ) | Home Credit Default Risk |
1,078,102 | X_train = train.drop(columns="ConvertedSalary")
y_train = np.log1p(train.ConvertedSalary )<define_variables> | alldata[features] = alldata[features].astype('float32' ) | Home Credit Default Risk |
1,078,102 | split_cols = [
"DevType",
"CommunicationTools",
"FrameworkWorkedWith",
"AdsActions",
"ErgonomicDevices",
"Gender",
"SexualOrientation",
"RaceEthnicity"
]<concatenate> | for c in features:
ss = StandardScaler()
alldata.loc[~alldata[c].isnull() ,c] = ss.fit_transform(alldata.loc[~alldata[c].isnull() ,c].values.reshape(-1,1))
alldata[c].fillna(alldata[c].mean() ,inplace=True ) | Home Credit Default Risk |
1,078,102 | def flatten(l):
for el in l:
if isinstance(el, collections.abc.Iterable)and not isinstance(el,(str, bytes)) :
yield from flatten(el)
else:
yield el<data_type_conversions> | train = alldata[:ntrainrows]
test = alldata[ntrainrows:] | Home Credit Default Risk |
1,078,102 | def split_text(df):
for col in split_cols:
categories = list(set(flatten(X_train[col].str.split(";" ).tolist())))
categories = [i for i in categories if str(i)!= 'nan']
for category in categories:
df[f"{col}_{category}"] = df[col].str.contains(category ).astype(np.float32)
df[f"count_{col}"] = df[col].str.count(";")
return df<split> | traintargets = train.TARGET.values
train = UseGPFeatures(train)
test = UseGPFeatures(test)
train['TARGET'] = traintargets | Home Credit Default Risk |
1,078,102 | X_train = split_text(X_train)
X_test = split_text(X_test )<rename_columns> | gc.enable() | Home Credit Default Risk |
1,078,102 | X_train.columns = ["".join(c if c.isalnum() else "_" for c in str(x)) for x in X_train.columns]
X_test.columns = ["".join(c if c.isalnum() else "_" for c in str(x)) for x in X_test.columns]<categorify> | folds = KFold(n_splits=5, shuffle=True, random_state=42)
oof_preds = np.zeros(train.shape[0])
sub_preds = np.zeros(test.shape[0])
feats = [f for f in train.columns if f not in ['SK_ID_CURR','TARGET']] | Home Credit Default Risk |
1,078,102 | class BaseTransformer(BaseEstimator, TransformerMixin):
def __init__(self):
pass
def fit(self, X, y=None):
return self
def transform(self, X):
return self
def get_feature_names(self):
pass
class KFoldTargetEncoder(BaseTransformer):
def __init__(self, cols=None,
n_splits=5, random_state=24, shuffle=True, **kwargs):
super().__init__()
if cols is None:
cols = []
self.cols = cols
self.enc = ce.TargetEncoder(cols=cols, return_df=False, **kwargs)
self.n_splits = n_splits
self.random_state = random_state
self.shuffle = shuffle
self.kwargs = kwargs
self.train_idx = None
self.y = None
def fit(self, X, y=None):
self.enc.fit(X[self.cols], y)
self.train_idx = X.index
self.y = y
return self
def transform(self, X):
if self.train_idx is X.index:
df = pd.DataFrame(index=X.index, columns=self.cols, dtype=float)
skf = KFold(n_splits=self.n_splits, random_state=self.random_state, shuffle=self.shuffle)
for train_idx, val_idx in skf.split(X, self.y):
enc = ce.TargetEncoder(cols=self.cols, return_df=False, **self.kwargs)
X_train, y_train = X.loc[X.index[train_idx], self.cols], self.y.iloc[train_idx]
X_val = X.loc[X.index[val_idx], self.cols]
enc.fit(X_train, y_train)
df.loc[df.index[val_idx], self.cols] = enc.transform(X_val)
return df
return self.enc.transform(X[self.cols])
def get_feature_names(self):
return self.cols
<categorify> | for n_fold,(trn_idx, val_idx)in enumerate(folds.split(train)) :
trn_x, trn_y = train[feats].iloc[trn_idx], train.iloc[trn_idx]['TARGET']
val_x, val_y = train[feats].iloc[val_idx], train.iloc[val_idx]['TARGET']
clf = LGBMClassifier(
n_estimators=4000,
learning_rate=0.03,
num_leaves=30,
colsample_bytree=.8,
subsample=.9,
max_depth=7,
reg_alpha=.1,
reg_lambda=.1,
min_split_gain=.01,
min_child_weight=100,
silent=-1,
verbose=-1,
)
clf.fit(trn_x, trn_y,
eval_set= [(trn_x, trn_y),(val_x, val_y)],
eval_metric='auc', verbose=100, early_stopping_rounds=100
)
oof_preds[val_idx] = clf.predict_proba(val_x, num_iteration=clf.best_iteration_)[:, 1]
sub_preds += clf.predict_proba(test[feats], num_iteration=clf.best_iteration_)[:, 1] / folds.n_splits
print('Fold %2d AUC : %.6f' %(n_fold + 1, roc_auc_score(val_y, oof_preds[val_idx])))
del clf, trn_x, trn_y, val_x, val_y
gc.collect() | Home Credit Default Risk |
1,078,102 | feature_union1 = FeatureUnion([
("te", KFoldTargetEncoder(
cols=object_cols,
smoothing=.8
)) ,
], n_jobs=None, verbose=True )<categorify> | Submission = pd.DataFrame({ 'SK_ID_CURR': ID,'TARGET': sub_preds })
Submission.to_csv("hybridII.csv", index=False ) | Home Credit Default Risk |
1,068,284 | X_train1 = feature_union1.fit_transform(X_train, y_train)
X_test1 = feature_union1.transform(X_test )<categorify> | PATH = ".. /input"
list_of_files = os.listdir(PATH)
application_train = pd.read_csv(PATH+"/application_train.csv")
application_test = pd.read_csv(PATH+"/application_test.csv")
bureau = pd.read_csv(PATH+"/bureau.csv")
bureau_balance = pd.read_csv(PATH+"/bureau_balance.csv")
credit_card_balance = pd.read_csv(PATH+"/credit_card_balance.csv")
installments_payments = pd.read_csv(PATH+"/installments_payments.csv")
previous_application = pd.read_csv(PATH+"/previous_application.csv")
POS_CASH_balance = pd.read_csv(PATH+"/POS_CASH_balance.csv" ) | Home Credit Default Risk |
1,068,284 | oe = ce.OrdinalEncoder(cols=object_cols )<normalization> | total_IDS = np.concatenate(( application_test["SK_ID_CURR"].values, application_train["SK_ID_CURR"].values))
print(len(np.unique(np.array(total_IDS)))== len(total_IDS)) | Home Credit Default Risk |
1,068,284 | X_train = oe.fit_transform(X_train, y_train)
X_test = oe.transform(X_test )<concatenate> | POS_CASH_balance_IDS = POS_CASH_balance["SK_ID_CURR"].values
bureau_IDS = bureau["SK_ID_CURR"].values
credit_card_balance_IDS = credit_card_balance["SK_ID_CURR"].values
installments_payments_IDS = installments_payments["SK_ID_CURR"].values
previous_application_IDS = previous_application["SK_ID_CURR"].values
tot = len(total_IDS)
print(tot)
print(len(np.intersect1d(POS_CASH_balance_IDS, total_IDS)) /tot*100,
len(np.intersect1d(bureau_IDS, total_IDS)) /tot*100,
len(np.intersect1d(credit_card_balance_IDS, total_IDS)) /tot*100,
len(np.intersect1d(installments_payments_IDS, total_IDS)) /tot*100,
len(np.intersect1d(previous_application_IDS, total_IDS)) /tot*100 ) | Home Credit Default Risk |
1,068,284 | X_train = np.hstack([X_train, X_train1])
X_test = np.hstack([X_test, X_test1] )<choose_model_class> | prev = previous_application["SK_ID_PREV"].values
POS_CASH_balance_IDS_prev = POS_CASH_balance["SK_ID_PREV"].values
credit_card_balance_IDS_prev = credit_card_balance["SK_ID_PREV"].values
installments_payments_IDS_prev = installments_payments["SK_ID_PREV"].values
prev_num = len(prev)
print(prev_num)
print(len(np.intersect1d(POS_CASH_balance_IDS_prev, prev)) /prev_num*100,
len(np.intersect1d(credit_card_balance_IDS_prev, prev)) /prev_num*100,
len(np.intersect1d(installments_payments_IDS_prev, prev)) /prev_num*100)
| Home Credit Default Risk |
1,068,284 | models = []
seeds = [114]
for seed in seeds:
params = {
"objective": "regression",
"learning_rate":.02,
"tree_learner": "data",
"device_type": "cpu",
"num_leaves": 128,
"seed": seed,
"colsample_bytree":.8,
"max_depth": 7,
"subsample":.9,
"metric": ["rmse"]
}
skf = KFold(n_splits=5, random_state=seed, shuffle=True)
for i,(train_ix, test_ix)in enumerate(skf.split(X_train, y_train)) :
X_train_, y_train_ = X_train[train_ix,], y_train.values[train_ix]
X_val_, y_val_ = X_train[test_ix,], y_train.values[test_ix]
train_data = lgbm.Dataset(
data=X_train_,
label=y_train_,
feature_name=feature_names
)
val_data = lgbm.Dataset(
data=X_val_,
label=y_val_,
reference=train_data,
feature_name=feature_names
)
model = lgbm.train(params=params, train_set=train_data, num_boost_round=9999, valid_sets=[val_data],
early_stopping_rounds=200, verbose_eval=100)
models.append(model)
y_pred_ = model.predict(X_val_)
score = mean_squared_error(y_val_, y_pred_)
print('CV Score of Fold_%d is %f' %(i, score))<load_pretrained> | bureau_br = np.unique(bureau["SK_ID_BUREAU"].values)
print(len(np.intersect1d(np.unique(bureau_balance["SK_ID_BUREAU"].values), bureau_br)) /len(bureau_br)*100 ) | Home Credit Default Risk |
1,068,284 | joblib.dump(models, model_dir / f"models-lgbm-{VERSION}.joblib" )<predict_on_test> | breau_total = np.unique(np.intersect1d(bureau_IDS, total_IDS))
bureau_filtered = bureau.loc[bureau["SK_ID_CURR"].isin(breau_total)]
b = np.intersect1d(np.unique(bureau_filtered["SK_ID_BUREAU"].values), np.unique(bureau_balance["SK_ID_BUREAU"].values))
bureau_filtered = bureau_filtered.loc[bureau_filtered["SK_ID_BUREAU"].isin(b)]
len(bureau_filtered["SK_ID_CURR"].values)
bureau_filtered | Home Credit Default Risk |
1,068,284 | for i, model in enumerate(models):
if i == 0:
y_preds = model.predict(X_test)
else:
y_preds = np.vstack(( y_preds, model.predict(X_test)) )<prepare_output> | print(len(np.unique(bureau_filtered["SK_ID_CURR"].values)) /tot*100 ) | Home Credit Default Risk |
1,068,284 | y_preds = np.expm1(y_preds )<prepare_output> | train = application_train.drop(["TARGET"], axis = 1)
train_target = application_train["TARGET"]
test= application_test.copy()
tr = len(application_train)
print(all(i ==True for i in train.columns==test.columns))
| Home Credit Default Risk |
1,068,284 | y_pred = y_preds.mean(axis=0 )<save_to_csv> | df = pd.concat([train, test])
del train, test, application_train, application_test
gc.collect()
def categorical_features(data):
features = [i for i in list(data.columns)if data[i].dtype == 'object']
return features
categorical = categorical_features(df)
numerical = [i for i in df.columns if i not in categorical]
numerical.remove("SK_ID_CURR")
IDs = df["SK_ID_CURR"]
| Home Credit Default Risk |
1,068,284 | submission = pd.read_csv('.. /input/exam-for-students20200129/sample_submission.csv', index_col=0)
submission.ConvertedSalary = y_pred
submission.to_csv(model_dir / f'submission-{VERSION}.csv' )<feature_engineering> | for feature in categorical:
df[feature].fillna("unidentified")
print(f'Transforming {feature}...')
encoder = LabelEncoder()
encoder.fit(df[feature].astype(str))
df[feature] = encoder.transform(df[feature].astype(str))
df.head() | Home Credit Default Risk |
1,068,284 | feature_importances["mean"] = feature_importances.mean(axis=1 )<set_options> | for feats in df.columns:
df[feats] = df[feats].fillna(-1)
df.head() | Home Credit Default Risk |
1,068,284 | plt.style.use('ggplot')
%matplotlib inline
<set_options> | POS_CASH_balance_G1 = POS_CASH_balance.loc[POS_CASH_balance["SK_ID_CURR"].isin(total_IDS)]
print(len(np.unique(POS_CASH_balance_G1["SK_ID_CURR"].values)))
POS_CASH_balance_G1.head() | Home Credit Default Risk |
1,068,284 | pd.set_option('display.max_columns', 500 )<load_from_csv> | np.unique(POS_CASH_balance_G1["NAME_CONTRACT_STATUS"].values)
POS_CASH_balance_G1_num =(POS_CASH_balance_G1.groupby("SK_ID_CURR", as_index=False ).mean())
nb = POS_CASH_balance_G1[["SK_ID_CURR", "NAME_CONTRACT_STATUS"]].groupby("SK_ID_CURR", as_index = False ).count()
nb["num_in_POS_CASH"] = nb["NAME_CONTRACT_STATUS"]
df = df.merge(POS_CASH_balance_G1_num.drop("SK_ID_PREV", axis = 1), on='SK_ID_CURR', how='left' ).fillna(-1)
df = df.merge(nb.drop("NAME_CONTRACT_STATUS", axis = 1), on='SK_ID_CURR', how='left' ).fillna(-1)
del nb, POS_CASH_balance_G1_num, POS_CASH_balance_G1
gc.collect()
df.head()
| Home Credit Default Risk |
1,068,284 | df_train = pd.read_csv('.. /input/exam-for-students20200129/train.csv', index_col=0)
df_test = pd.read_csv('.. /input/exam-for-students20200129/test.csv', index_col=0 )<count_missing_values> | bureau_G1 = bureau.drop(["SK_ID_BUREAU"], axis = 1 ).loc[bureau["SK_ID_CURR"].isin(total_IDS)]
print(len(np.unique(bureau_G1["SK_ID_CURR"].values)))
bureau_G1.head() | Home Credit Default Risk |
1,068,284 | df_train.isnull().sum()<count_missing_values> | bureau_G1_num =(bureau_G1.groupby("SK_ID_CURR", as_index=False ).mean())
nb = bureau_G1[["SK_ID_CURR", "CREDIT_ACTIVE"]].groupby("SK_ID_CURR", as_index = False ).count()
nb["num_in_bureau"] = nb["CREDIT_ACTIVE"]
df = df.merge(bureau_G1_num, on='SK_ID_CURR', how='left' ).fillna(-1)
df = df.merge(nb.drop("CREDIT_ACTIVE", axis=1), on='SK_ID_CURR', how='left' ).fillna(-1)
del nb, bureau_G1_num, bureau_G1
gc.collect()
df.head() | Home Credit Default Risk |
1,068,284 | df_test.isnull().sum()<count_values> | credit_card_balance_G1 = credit_card_balance.drop(["SK_ID_PREV"], axis = 1 ).loc[credit_card_balance["SK_ID_CURR"].isin(total_IDS)]
print(len(np.unique(credit_card_balance_G1["SK_ID_CURR"].values)))
credit_card_balance_G1.head() | Home Credit Default Risk |
1,068,284 | for col_name in df_train.columns:
print(df_train[col_name].value_counts())
print(df_train[col_name].value_counts() / len(df_train[col_name]))<count_values> | credit_card_balance_G1_num =(credit_card_balance_G1.groupby("SK_ID_CURR", as_index=False ).mean())
nb = credit_card_balance_G1[["SK_ID_CURR", "NAME_CONTRACT_STATUS"]].groupby("SK_ID_CURR", as_index = False ).count()
nb["num_in_credit_card"] = nb["NAME_CONTRACT_STATUS"]
df = df.merge(credit_card_balance_G1_num, on='SK_ID_CURR', how='left' ).fillna(-1)
df = df.merge(nb.drop("NAME_CONTRACT_STATUS", axis=1), on='SK_ID_CURR', how='left' ).fillna(-1)
del nb, credit_card_balance_G1_num, credit_card_balance_G1
gc.collect()
df.head() | Home Credit Default Risk |
1,068,284 | for col_name in df_test.columns:
print(df_test[col_name].value_counts())
print(df_test[col_name].value_counts() / len(df_test[col_name]))<load_from_csv> | installments_payments_G1 = installments_payments.drop(["SK_ID_PREV"], axis = 1 ).loc[installments_payments["SK_ID_CURR"].isin(total_IDS)]
print(len(np.unique(installments_payments_G1["SK_ID_CURR"].values)))
installments_payments_G1.head() | Home Credit Default Risk |
1,068,284 | df_country_info = pd.read_csv('.. /input/exam-for-students20200129/country_info.csv' )<count_values> | installments_payments_G1_num =(installments_payments_G1.groupby("SK_ID_CURR", as_index=False ).mean())
nb = installments_payments_G1[["SK_ID_CURR", "NUM_INSTALMENT_VERSION"]].groupby("SK_ID_CURR", as_index = False ).count()
nb["num_in_install_pay"] = nb["NUM_INSTALMENT_VERSION"]
df = df.merge(installments_payments_G1_num, on='SK_ID_CURR', how='left' ).fillna(-1)
df = df.merge(nb.drop("NUM_INSTALMENT_VERSION", axis=1), on='SK_ID_CURR', how='left' ).fillna(-1)
del nb, installments_payments_G1_num, installments_payments_G1
gc.collect()
df.head() | Home Credit Default Risk |
1,068,284 | df_country_info['Country'].value_counts()<create_dataframe> | previous_application_G1 = previous_application.drop(["SK_ID_PREV"], axis = 1 ).loc[previous_application["SK_ID_CURR"].isin(total_IDS)]
print(len(np.unique(previous_application_G1["SK_ID_CURR"].values)))
previous_application_G1.head() | Home Credit Default Risk |
1,068,284 | df_country_info_edit = df_country_info[['Country', 'Region']].copy()
df_country_info_edit<merge> | previous_application_G1_num =(previous_application_G1.groupby("SK_ID_CURR", as_index=False ).mean())
nb = previous_application_G1[["SK_ID_CURR", "NAME_CONTRACT_TYPE"]].groupby("SK_ID_CURR", as_index = False ).count()
nb["num_in_previous_app"] = nb["NAME_CONTRACT_TYPE"]
df = df.merge(previous_application_G1_num, on='SK_ID_CURR', how='left' ).fillna(-1)
df = df.merge(nb.drop("NAME_CONTRACT_TYPE", axis=1), on='SK_ID_CURR', how='left' ).fillna(-1)
del nb, previous_application_G1_num, previous_application_G1
gc.collect()
df.head() | Home Credit Default Risk |
1,068,284 | df_train_add_countryinfo = pd.merge(df_train, df_country_info_edit, how = 'left', on = ['Country'] ).copy()
df_test_add_countryinfo = pd.merge(df_test, df_country_info_edit, how = 'left', on = ['Country'] ).copy()<prepare_x_and_y> | train_X = df[:tr].drop("SK_ID_CURR", axis = 1)
test_X = df[tr:].drop("SK_ID_CURR", axis = 1)
y = train_target
x_train, x_val, y_train, y_val = train_test_split(train_X, y, test_size=0.2, random_state=18)
| Home Credit Default Risk |
1,068,284 | y_train = df_train_add_countryinfo['ConvertedSalary'].copy()
X_train = df_train_add_countryinfo.drop(['ConvertedSalary', 'Country'], axis=1 ).copy()
X_test = df_test_add_countryinfo.drop(['Country'], axis=1 ).copy()<count_unique_values> | lgt = lgb.Dataset(data=x_train, label=y_train)
lgv = lgb.Dataset(data=x_val, label=y_val)
params = {'task': 'train', 'boosting_type': 'gbdt', 'objective': 'binary', 'metric': 'auc',
'learning_rate': 0.01, 'num_leaves': 48, 'num_iteration': 5000, 'verbose': 0 ,
'colsample_bytree':.8, 'subsample':.9, 'max_depth':7, 'reg_alpha':.1, 'reg_lambda':.1,
'min_split_gain':.01, 'min_child_weight':1}
model = lgb.train(params, lgt, valid_sets=lgv, early_stopping_rounds=150, verbose_eval=200 ) | Home Credit Default Risk |
1,068,284 | <categorify><EOS> | preds = model.predict(test_X)
submission = pd.read_csv(".. /input/sample_submission.csv")
submission['TARGET'] = preds
submission.to_csv("baseline.csv", index=False)
submission.head() | Home Credit Default Risk |
1,056,491 | <SOS> metric: AUC Kaggle data source: home-credit-default-risk<categorify> | import gc
import numpy as np
import pandas as pd
from sklearn.model_selection import KFold, StratifiedKFold
from sklearn.preprocessing import StandardScaler,LabelEncoder
from sklearn.metrics import roc_auc_score | Home Credit Default Risk |
1,056,491 | X_train[cats] = encoder.fit_transform(X_train[cats])
X_test[cats] = encoder.transform(X_test[cats] )<categorify> | def add_noise(series, noise_level):
return series *(1 + noise_level * np.random.randn(len(series)))
def target_encode(trn_series=None,
tst_series=None,
target=None,
min_samples_leaf=1,
smoothing=1,
noise_level=0):
assert len(trn_series)== len(target)
assert trn_series.name == tst_series.name
temp = pd.concat([trn_series, target], axis=1)
averages = temp.groupby(by=trn_series.name)[target.name].agg(["mean", "count"])
smoothing = 1 /(1 + np.exp(-(averages["count"] - min_samples_leaf)/ smoothing))
prior = target.mean()
averages[target.name] = prior *(1 - smoothing)+ averages["mean"] * smoothing
averages.drop(["mean", "count"], axis=1, inplace=True)
ft_trn_series = pd.merge(
trn_series.to_frame(trn_series.name),
averages.reset_index().rename(columns={'index': target.name, target.name: 'average'}),
on=trn_series.name,
how='left')['average'].rename(trn_series.name + '_mean' ).fillna(prior)
ft_trn_series.index = trn_series.index
ft_tst_series = pd.merge(
tst_series.to_frame(tst_series.name),
averages.reset_index().rename(columns={'index': target.name, target.name: 'average'}),
on=tst_series.name,
how='left')['average'].rename(trn_series.name + '_mean' ).fillna(prior)
ft_tst_series.index = tst_series.index
return add_noise(ft_trn_series, noise_level), add_noise(ft_tst_series, noise_level ) | Home Credit Default Risk |
1,056,491 | target = 'ConvertedSalary'
t_encoding_col = ['Region', 'Employment', 'LastNewJob', 'YearsCodingProf', 'SalaryType', 'Currency', 'Age', 'Student', 'CompanySize', 'MilitaryUS', 'CareerSatisfaction', 'NumberMonitors', 'OperatingSystem', 'EducationParents']
for i, t_col in enumerate(t_encoding_col):
X_temp = pd.concat([X_train, y_train], axis=1)
summary = X_temp.groupby([t_col])[target].mean()
enc_test = X_test[t_col].map(summary)
skf = StratifiedKFold(n_splits=5, random_state=71, shuffle=True)
enc_train = Series(np.zeros(len(X_train)) , index=X_train.index)
for i,(train_ix, val_ix)in enumerate(( skf.split(X_train, y_train))):
X_train_, _ = X_temp.iloc[train_ix], y_train.iloc[train_ix]
X_val, _ = X_temp.iloc[val_ix], y_train.iloc[val_ix]
summary = X_train_.groupby([t_col])[target].mean()
enc_train.iloc[val_ix] = X_val[t_col].map(summary)
X_train[t_col] = enc_train
X_test[t_col] = enc_test<define_variables> | def UseGPFeatures(data):
v = pd.DataFrame()
v["i0"] = np.tanh(((((((data["te_ORGANIZATION_TYPE"])-(((data["EXT_SOURCE_3"])* 2.0)))) -(((data["EXT_SOURCE_2"])-(( -1.0*(( data["EXT_SOURCE_2"])))))))) -(data["EXT_SOURCE_1"])))
v["i1"] = np.tanh(((((data["NAME_CONTRACT_STATUS_Refused"])/ 2.0)) +(((((((np.minimum(((data["te_OCCUPATION_TYPE"])) ,(( data["DAYS_BIRTH"])))) -(data["EXT_SOURCE_3"])))* 2.0)) -(((((data["EXT_SOURCE_2"])* 2.0)) +(data["EXT_SOURCE_3"])))))))
v["i2"] = np.tanh(((((((-3.0)*(data["EXT_SOURCE_2"])))-(data["EXT_SOURCE_3"])))+(((np.tanh(( data["te_OCCUPATION_TYPE"])))-(((data["EXT_SOURCE_1"])+(((data["EXT_SOURCE_3"])-(0.0)))))))))
v["i3"] = np.tanh(((data["te_OCCUPATION_TYPE"])+(((((((data["NAME_CONTRACT_STATUS_Refused"])-(((((( data["EXT_SOURCE_1"])+(np.minimum(((data["EXT_SOURCE_3"])) ,(( data["EXT_SOURCE_3"])))))/2.0)) * 2.0)))) -(data["EXT_SOURCE_2"])))* 2.0))))
v["i4"] = np.tanh(((((((np.tanh(( data["NAME_CONTRACT_STATUS_Refused"])))-(data["EXT_SOURCE_3"])))-(data["EXT_SOURCE_2"])))+(((np.minimum(((((data["EXT_SOURCE_3"])*(-3.0)))) ,(( data["ca__Active"])))) -(data["EXT_SOURCE_2"])))))
v["i5"] = np.tanh(((data["te_ORGANIZATION_TYPE"])+(((((((data["NAME_CONTRACT_STATUS_Refused"])-(data["EXT_SOURCE_2"])))-(np.where(data["EXT_SOURCE_1"]>0,(9.09630203247070312), data["ca__Closed"])))) +(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))
v["i6"] = np.tanh(((((data["te_OCCUPATION_TYPE"])+(((((((( -1.0*(( data["EXT_SOURCE_2"])))) +(data["te_NAME_EDUCATION_TYPE"])))-(((data["EXT_SOURCE_3"])+(data["EXT_SOURCE_1"])))))+(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))-(data["EXT_SOURCE_3"])))
v["i7"] = np.tanh(((((data["NAME_PRODUCT_TYPE_walk_in"])+(((((((np.tanh(((-1.0*(((( 2.0)-(data["cc_bal_AMT_TOTAL_RECEIVABLE"])))))))) +(data["cc_bal_AMT_TOTAL_RECEIVABLE"])))-(data["EXT_SOURCE_2"])))-(data["EXT_SOURCE_3"])))))* 2.0))
v["i8"] = np.tanh(((((((((((((data["te_NAME_EDUCATION_TYPE"])-(data["CODE_GENDER"])))-(data["DAYS_FIRST_DRAWING"])))* 2.0)) * 2.0)) -(((data["EXT_SOURCE_3"])* 2.0)))) * 2.0))
v["i9"] = np.tanh(((((((( data["REGION_RATING_CLIENT"])+(data["te_ORGANIZATION_TYPE"])) /2.0)) +(((np.maximum(((-3.0)) ,(( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))) +(np.minimum(((data["DAYS_CREDIT"])) ,(((( data["cnt_FLAG_DOCUMENT_3"])-(data["EXT_SOURCE_2"])))))))))) * 2.0))
v["i10"] = np.tanh(((((((( 7.0)) *(data["ty__Microloan"])))-(data["EXT_SOURCE_3"])))+(((((( data["CNT_INSTALMENT_FUTURE"])*(data["CNT_INSTALMENT_FUTURE"])))+(((data["EXT_SOURCE_1"])*(((-1.0)* 2.0)))))/2.0))))
v["i11"] = np.tanh(((((( -1.0*(((( data["EXT_SOURCE_3"])-(0.0)))))) +(data["NAME_YIELD_GROUP_high"])))-(( -1.0*(( np.where(((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])/ 2.0)) / 2.0)>0,(8.0), data["te_FLAG_OWN_CAR"])))))))
v["i12"] = np.tanh(((((data["CNT_PAYMENT"])-(((((((data["EXT_SOURCE_1"])+(data["SK_ID_PREV_y"])))-(((( data["DEF_30_CNT_SOCIAL_CIRCLE"])+(((data["CNT_PAYMENT"])-(data["EXT_SOURCE_2"])))) /2.0)))) * 2.0)))) +(data["NAME_CLIENT_TYPE_New"])))
v["i13"] = np.tanh(((((((np.where(((((2.0)/ 2.0)) -(data["EXT_SOURCE_2"])) >0, data["te_CODE_GENDER"], -2.0)) +(data["te_NAME_CONTRACT_TYPE"])))* 2.0)) +(data["cnt_CODE_GENDER"])))
v["i14"] = np.tanh(((((((((data["REG_CITY_NOT_LIVE_CITY"])+(((((data["ty__Microloan"])* 2.0)) * 2.0)))) +(np.maximum(((data["cc_bal_CNT_DRAWINGS_CURRENT"])) ,(((( data["NAME_CONTRACT_STATUS_Refused"])-(data["cnt_REG_CITY_NOT_LIVE_CITY"])))))))) +(data["cc_bal_CNT_DRAWINGS_CURRENT"])))* 2.0))
v["i15"] = np.tanh(((((((((( data["te_NAME_EDUCATION_TYPE"])-(((data["AMT_ANNUITY"])-(((data["CNT_INSTALMENT_FUTURE"])+(data["ty__Microloan"])))))))+(data["DEF_30_CNT_SOCIAL_CIRCLE"])) /2.0)) * 2.0)) * 2.0))
v["i16"] = np.tanh(((data["te_FLAG_DOCUMENT_3"])+(((((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])* 2.0)) +(((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])* 2.0)) +(((0.0)+(data["DAYS_ID_PUBLISH"])))))))-(data["cnt_NAME_FAMILY_STATUS"])))))
v["i17"] = np.tanh(((((data["CNT_INSTALMENT_FUTURE"])+(((data["NAME_CLIENT_TYPE_New"])+(((data["avg_buro_buro_bal_status_1"])+(((data["te_WALLSMATERIAL_MODE"])-(data["PRODUCT_COMBINATION_POS_industry_with_interest"])))))))))+(((data["NAME_CLIENT_TYPE_New"])-(data["DAYS_FIRST_DRAWING"])))))
v["i18"] = np.tanh(((np.where(data["NAME_YIELD_GROUP_low_action"]>0, -3.0,(( data["REGION_RATING_CLIENT_W_CITY"])+(((data["CNT_PAYMENT"])+(np.maximum(((-3.0)) ,(( data["NAME_YIELD_GROUP_high"])))))))))+(data["ty__Microloan"])))
v["i19"] = np.tanh(((((data["AMT_ANNUITY_x"])* 2.0)) +(((((((data["AMT_ANNUITY_x"])* 2.0)) +(np.maximum(((data["NAME_YIELD_GROUP_XNA"])) ,(((( data["DAYS_LAST_PHONE_CHANGE"])/ 2.0)))))))+(((data["PRODUCT_COMBINATION_Cash_X_Sell__low"])*(-3.0)))))))
v["i20"] = np.tanh(((((data["cnt_FLAG_OWN_CAR"])-(((data["inst_NUM_INSTALMENT_VERSION"])-(np.where(data["EXT_SOURCE_1"]>0, -3.0, data["CODE_REJECT_REASON_SCOFR"])))))) -(data["RATE_DOWN_PAYMENT"])))
v["i21"] = np.tanh(((((((data["OWN_CAR_AGE"])-(((((data["CODE_GENDER"])-(((data["OWN_CAR_AGE"])+(data["OWN_CAR_AGE"])))))/ 2.0)))) * 2.0)) +(np.maximum(((data["CNT_PAYMENT"])) ,(( data["ty__Microloan"]))))))
v["i22"] = np.tanh(((((((data["DEF_60_CNT_SOCIAL_CIRCLE"])-(((data["NAME_YIELD_GROUP_low_action"])+(((( data["avg_buro_buro_bal_status_1"])<(data["PRODUCT_COMBINATION_Cash_Street__low"])) *1.))))))+(data["avg_buro_buro_bal_status_1"])))-(data["AMT_ANNUITY"])))
v["i23"] = np.tanh(np.where(((data["ty__Mortgage"])* 2.0)>0, -3.0,(((data["cnt_DAYS_BIRTH"])+(((((( data["NAME_PORTFOLIO_XNA"])+(np.maximum(((data["CODE_REJECT_REASON_HC"])) ,(( 0.0)))))/2.0)) -(data["CHANNEL_TYPE_Channel_of_corporate_sales"])))) /2.0)))
v["i24"] = np.tanh(((((((data["DAYS_LAST_PHONE_CHANGE"])+(data["nans"])))+(((((((data["SK_DPD"])+(data["CNT_PAYMENT"])))/ 2.0)) * 2.0)))) +(((((-1.0*(( data["PRODUCT_COMBINATION_Cash_Street__low"])))) +(data["cnt_ORGANIZATION_TYPE"])) /2.0))))
v["i25"] = np.tanh(np.where(data["inst_AMT_PAYMENT"]>0,(-1.0*(( data["Active"]))),(((-1.0)>(((np.minimum(((( 1.0))),(( data["inst_AMT_PAYMENT"])))) * 2.0)))*1.)))
v["i26"] = np.tanh(((np.where(np.tanh(( np.where(( 10.0)>0, data["cc_bal_AMT_RECIVABLE"], data["cc_bal_AMT_BALANCE"])))>0, data["cc_bal_CNT_DRAWINGS_CURRENT"],(( data["SK_DPD"])*(( 6.0)))))+(( -1.0*(( data["FLAG_DOCUMENT_18"]))))))
v["i27"] = np.tanh(((((((((((( data["cnt_FLAG_DOCUMENT_16"])+(data["AMT_ANNUITY_x"])) /2.0)) -(data["ty__Mortgage"])))+(data["ty__Microloan"])))* 2.0)) +(np.tanh(((((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])>(data["ty__Microloan"])) *1.))))))
v["i28"] = np.tanh(np.where(data["ca__Sold"]>0, 2.0,(((-1.0*(((( data["RATE_DOWN_PAYMENT"])+(((data["AMT_GOODS_PRICE_x"])*(((((data["AMT_GOODS_PRICE_x"])* 2.0)) -(-1.0)))))))))) +(data["cnt_NAME_INCOME_TYPE"]))))
v["i29"] = np.tanh(((((((3.0)*(((( data["CHANNEL_TYPE_AP___Cash_loan_"])>(((data["inst_AMT_PAYMENT"])/ 2.0)))*1.))))* 2.0)) -(( -1.0*(( np.minimum(((data["cnt_WEEKDAY_APPR_PROCESS_START"])) ,(((((data["CHANNEL_TYPE_AP___Cash_loan_"])>(data["MONTHS_BALANCE"])) *1.))))))))))
v["i30"] = np.tanh(((((((np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(((((((-1.0*(((((((data["te_FLAG_DOCUMENT_6"])* 2.0)) +(data["CNT_INSTALMENT_FUTURE"])) /2.0)))))* 2.0)) * 2.0)))))-(((data["te_FLAG_DOCUMENT_6"])* 2.0)))) / 2.0)) * 2.0))
v["i31"] = np.tanh(((((( data["te_NAME_FAMILY_STATUS"])-(data["PRODUCT_COMBINATION_Cash_Street__low"])))+(np.minimum(((((( -1.0*(( data["CHANNEL_TYPE_Channel_of_corporate_sales"])))) -(((((data["AMT_CREDIT_SUM_LIMIT"])* 2.0)) * 2.0))))),(((( data["DAYS_REGISTRATION"])/ 2.0)))))) /2.0))
v["i32"] = np.tanh(((((-1.0*(( data["Active"])))) +(((((( data["HOUSETYPE_MODE"])-(data["FLAG_DOCUMENT_18"])))+(((((( data["CODE_REJECT_REASON_SCO"])+(data["CHANNEL_TYPE_Channel_of_corporate_sales"])) /2.0)) *(-2.0)))) /2.0)))/2.0))
v["i33"] = np.tanh(((((((( -1.0*(((( data["inst_NUM_INSTALMENT_VERSION"])*(data["inst_NUM_INSTALMENT_VERSION"])))))) +(data["NFLAG_INSURED_ON_APPROVAL"])) /2.0)) +(((((((( data["cnt_FLAG_PHONE"])+(data["NFLAG_INSURED_ON_APPROVAL"])) /2.0)) -(data["inst_AMT_PAYMENT"])))/ 2.0)))/2.0))
v["i34"] = np.tanh(((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])+(np.maximum(((((-1.0)-(( -1.0*(( data["FLAG_DOCUMENT_2"]))))))),(( np.where(data["cc_bal_AMT_TOTAL_RECEIVABLE"]>0, data["FLAG_WORK_PHONE"], data["cc_bal_AMT_TOTAL_RECEIVABLE"])))))) /2.0))
v["i35"] = np.tanh(np.minimum(((((((((( data["NAME_PAYMENT_TYPE_XNA"])/ 2.0)) +(data["cnt_FLAG_DOCUMENT_13"])) /2.0)) -(np.tanh(((((((data["cnt_FLAG_DOCUMENT_2"])<(data["NAME_PAYMENT_TYPE_XNA"])) *1.))*(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))))))) ,(((5.0)))))
v["i36"] = np.tanh(((((-1.0*(((( data["DAYS_ENDDATE_FACT"])+(np.minimum(((data["YEARS_BUILD_MODE"])) ,(((11.45870018005371094)))))))))) +(((((-1.0*(((( data["avg_buro_buro_bal_status_0"])+(data["FLAG_PHONE"])))))) +(( -1.0*(((0.0)))))) /2.0)))/2.0))
v["i37"] = np.tanh(((np.minimum(((((( -2.0)>(data["EXT_SOURCE_3"])) *1.))) ,(((( data["avg_buro_buro_bal_status_1"])-(np.minimum(((data["AMT_REQ_CREDIT_BUREAU_QRT"])) ,(((( data["EXT_SOURCE_3"])-(np.tanh(( -3.0)))))))))))))*(3.0)))
v["i38"] = np.tanh(((( data["SK_DPD"])>(((( data["ty__Microloan"])+(np.where(( -1.0*(( data["NAME_GOODS_CATEGORY_Furniture"])))>0,(((data["te_REG_REGION_NOT_LIVE_REGION"])+(((0.0)/ 2.0)))/2.0),(((-1.0*(( data["ty__Microloan"])))) / 2.0)))) /2.0)))*1.))
v["i39"] = np.tanh(((np.where(((((( data["NAME_GOODS_CATEGORY_Insurance"])-(data["cnt_FLAG_DOCUMENT_16"])))>(data["ty__Microloan"])) *1.) >0, -2.0, data["ty__Microloan"])) -(np.tanh(((( data["cnt_FLAG_DOCUMENT_2"])* 2.0))))))
v["i40"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_FAMILY_STATUS"],(((((((2.0)) +(np.where(np.minimum(((-3.0)) ,(( data["FLAG_DOCUMENT_2"])))>0, data["cnt_FLAG_DOCUMENT_2"], data["NAME_YIELD_GROUP_middle"])))/2.0)) <(data["NAME_YIELD_GROUP_middle"])) *1.)))
v["i41"] = np.tanh(np.where(((( data["DAYS_LAST_DUE"])<(data["RATE_DOWN_PAYMENT"])) *1.) >0, np.minimum(((0.0)) ,(((-1.0*(( data["RATE_DOWN_PAYMENT"])))))) ,(((((data["DAYS_LAST_DUE"])+(data["te_CNT_CHILDREN"])) /2.0)) / 2.0)))
v["i42"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["NAME_GOODS_CATEGORY_Direct_Sales"],(( data["AMT_ANNUITY_x"])-(((((( data["AMT_ANNUITY_x"])+(data["cnt_FLAG_DOCUMENT_2"])) /2.0)) *(((data["inst_DAYS_INSTALMENT"])+(data["AMT_ANNUITY_x"]))))))))
v["i43"] = np.tanh(((((((-1.0*(( data["AMT_GOODS_PRICE_x"])))) <(((( data["CHANNEL_TYPE_Channel_of_corporate_sales"])>(((data["AMT_GOODS_PRICE_x"])/ 2.0)))*1.))) *1.))*(np.where(data["AMT_GOODS_PRICE_x"]>0, data["FLAG_DOCUMENT_2"], 3.0))))
v["i44"] = np.tanh(( -1.0*(((((((((((((-1.0*(((( np.tanh(((( -1.0)* 2.0)))) / 2.0)))))+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) +(data["DAYS_EMPLOYED"])))<(data["CODE_REJECT_REASON_SCO"])) *1.))/ 2.0)))))
v["i45"] = np.tanh(((((( data["inst_DAYS_INSTALMENT"])<(data["inst_DAYS_ENTRY_PAYMENT"])) *1.))+(np.minimum(((((data["inst_DAYS_INSTALMENT"])*(-1.0)))) ,(( data["AMT_CREDIT_x"]))))))
v["i46"] = np.tanh(np.where(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"]>0,(-1.0*(( np.maximum(((( 2.0))),(((( 0.0)* 2.0))))))),(((((data["DAYS_ID_PUBLISH"])-(( -1.0*(( data["DAYS_DECISION"])))))) >(2.0)) *1.)))
v["i47"] = np.tanh(np.where(((( np.maximum(((data["NAME_FAMILY_STATUS"])) ,(((( data["NAME_TYPE_SUITE_Unaccompanied"])* 2.0)))))<(-1.0)) *1.) >0, 2.0,(((np.where(data["NAME_FAMILY_STATUS"]>0, -1.0, data["NAME_GOODS_CATEGORY_Direct_Sales"])) +(data["NAME_FAMILY_STATUS"])) /2.0)))
v["i48"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, 1.0, np.minimum(((data["cc_bal_AMT_BALANCE"])) ,(( np.where(data["cc_bal_SK_DPD_DEF"]>0, np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( 3.0))),(-1.0*(( data["CHANNEL_TYPE_Channel_of_corporate_sales"])))))))))
v["i49"] = np.tanh(((((np.where(((np.minimum(((data["cnt_FLAG_DOCUMENT_13"])) ,(( data["FLAG_DOCUMENT_2"])))) -(data["cc_bal_SK_DPD_DEF"])) >0,(( data["CNT_INSTALMENT_FUTURE"])* 2.0), data["cnt_FLAG_DOCUMENT_13"])) -(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))+(data["NAME_GOODS_CATEGORY_Insurance"])))
v["i50"] = np.tanh(np.minimum(((((( -1.0*(( data["NAME_GOODS_CATEGORY_Furniture"])))) -(data["inst_AMT_PAYMENT"])))) ,(((((((data["inst_AMT_PAYMENT"])/ 2.0)) <(data["NAME_GOODS_CATEGORY_Furniture"])) *1.)))))
v["i51"] = np.tanh(((((( np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["AMT_GOODS_PRICE_y"])))) / 2.0)) >(((data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])*(data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])))) *1.))
v["i52"] = np.tanh(( -1.0*(( np.where(data["CNT_INSTALMENT"]>0, data["Active"], np.minimum(((data["SK_ID_PREV_y"])) ,(( 2.0))))))))
v["i53"] = np.tanh(np.where(data["CNT_INSTALMENT_FUTURE"]>0,(( data["SK_DPD"])+(np.minimum(((data["CNT_INSTALMENT_FUTURE"])) ,(( data["SK_ID_PREV_x"]))))), np.tanh(((-1.0*(((((data["SK_ID_PREV_x"])>(data["NAME_PRODUCT_TYPE_x_sell"])) *1.))))))))
v["i54"] = np.tanh(np.tanh(((((((((data["SK_DPD"])-(data["FLAG_DOCUMENT_18"])))* 2.0)) >(((( data["NAME_GOODS_CATEGORY_Insurance"])+(( -1.0*(( data["SK_DPD"])))))/2.0)))*1.))))
v["i55"] = np.tanh(np.where(( -1.0*(( data["SK_DPD"])))>0,(( np.minimum(((( -1.0*(((((data["PRODUCT_COMBINATION_Cash_X_Sell__low"])+(data["FLAG_DOCUMENT_16"])) /2.0)))))) ,(((-1.0*(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))))/ 2.0), -2.0))
v["i56"] = np.tanh(((((( data["cnt_FLAG_DOCUMENT_2"])+(((( data["SK_DPD"])+(((data["cnt_FLAG_DOCUMENT_2"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) /2.0)))) >(((data["FLAG_DOCUMENT_2"])*(2.0)))) *1.))
v["i57"] = np.tanh(((( np.where(np.where(data["CNT_INSTALMENT_FUTURE"]>0, -2.0, data["SK_DPD"])>0, -2.0, data["SK_DPD"])) +(((( data["SK_DPD"])+(( -1.0*(( data["te_REG_REGION_NOT_LIVE_REGION"])))))/2.0)))/2.0))
v["i58"] = np.tanh(( -1.0*(( np.maximum(((((((((((((data["WEEKDAY_APPR_PROCESS_START_SATURDAY"])* 2.0)) +(data["ty__Car_loan"])) /2.0)) +(data["inst_NUM_INSTALMENT_VERSION"])) /2.0)) / 2.0))),(( data["ty__Mortgage"])))))))
v["i59"] = np.tanh(((((((((((((data["NAME_GOODS_CATEGORY_Insurance"])+(((data["DAYS_REGISTRATION"])/ 2.0)))/2.0)) / 2.0)) +(((( data["DAYS_REGISTRATION"])+(data["CNT_INSTALMENT_FUTURE"])) /2.0)))) -(2.0)))>(( -1.0*(( data["DAYS_REGISTRATION"])))))*1.))
v["i60"] = np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0, 1.0,(((( data["FLAG_DOCUMENT_2"])+(((((( data["DAYS_FIRST_DUE"])+(( -1.0*(( data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])))))) +(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)))) / 2.0)))
v["i61"] = np.tanh(((( 13.15089130401611328)) *(np.where(((data["ca__Sold"])-(data["cc_bal_SK_DPD_DEF"])) >0, np.minimum(((data["FLAG_DOCUMENT_2"])) ,(((( np.minimum(((((data["cc_bal_cc_bal_status__Sent_proposal"])* 2.0))),(( data["ca__Sold"])))) * 2.0)))) , data["cc_bal_SK_DPD_DEF"]))))
v["i62"] = np.tanh(np.maximum(((np.maximum(((((((( data["cc_bal_CNT_DRAWINGS_CURRENT"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) +(data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"])))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"]))))),(((((((((data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"])+(data["ca__Sold"])))>(( 5.0)))*1.))* 2.0)))))
v["i63"] = np.tanh(( -1.0*(((((data["CHANNEL_TYPE_Channel_of_corporate_sales"])+(np.where(( -1.0*(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))>0, data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"], data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))/2.0)))))
v["i64"] = np.tanh(((((((( 6.87359857559204102)) *(((( 6.87359476089477539)) *(((((data["cc_bal_AMT_BALANCE"])-(data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])))*(np.where(data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"]>0, 1.0, 3.0)))))))) * 2.0)) / 2.0))
v["i65"] = np.tanh(((np.minimum(((((1.0)-(data["NAME_YIELD_GROUP_high"])))) ,(((((((data["NAME_YIELD_GROUP_high"])>(((( data["NAME_YIELD_GROUP_high"])>(((data["NAME_YIELD_GROUP_high"])+(data["cnt_HOUR_APPR_PROCESS_START_x"])))) *1.))) *1.))* 2.0)))))/ 2.0))
v["i66"] = np.tanh(((data["NONLIVINGAPARTMENTS_MODE"])-(((((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])+(((( data["FLAG_DOCUMENT_14"])>(( -1.0*(((( data["cc_bal_cc_bal_status__Sent_proposal"])*(( -1.0*(((-1.0*(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))))))))))*1.))))+(data["FLAG_DOCUMENT_14"])) /2.0))))
v["i67"] = np.tanh(((((( data["cnt_FLAG_DOCUMENT_13"])+(np.minimum(((data["cc_bal_SK_ID_PREV"])) ,(((((((( data["cnt_FLAG_DOCUMENT_18"])+(data["cc_bal_SK_ID_PREV"])) /2.0)) +(((data["cnt_FLAG_DOCUMENT_18"])* 2.0)))/2.0)))))))+(( -1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"])))))/2.0))
v["i68"] = np.tanh(((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])+(( -1.0*(( np.where(((((data["AMT_REQ_CREDIT_BUREAU_MON"])/ 2.0)) +(data["AMT_CREDIT_SUM_LIMIT"])) >0, np.maximum(((data["AMT_CREDIT_SUM_LIMIT"])) ,(((( data["AMT_REQ_CREDIT_BUREAU_MON"])/ 2.0)))) , data["FLOORSMAX_MODE"])))))) /2.0))
v["i69"] = np.tanh(((( data["cnt_FLAG_DOCUMENT_2"])<(((( data["NAME_GOODS_CATEGORY_Insurance"])+(((( data["DAYS_FIRST_DUE"])>(((np.tanh(((((1.0)<(data["DAYS_FIRST_DUE"])) *1.))))* 2.0)))*1.))) /2.0)))*1.))
v["i70"] = np.tanh(((((((data["NAME_GOODS_CATEGORY_Gardening"])<(data["SK_DPD"])) *1.))+(np.minimum(((np.where(data["SK_DPD"]>0, data["cnt_ORGANIZATION_TYPE"], data["REGION_POPULATION_RELATIVE"]))),(((((1.0)>(data["REGION_POPULATION_RELATIVE"])) *1.))))))/2.0))
v["i71"] = np.tanh(((((data["FLAG_DOCUMENT_16"])*(((data["CODE_REJECT_REASON_SCO"])+(( -1.0*(( data["REGION_RATING_CLIENT_W_CITY"])))))))) * 2.0))
v["i72"] = np.tanh(((np.maximum(((((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["te_ORGANIZATION_TYPE"])) /2.0)) +(((data["FLAG_DOCUMENT_2"])* 2.0)))/2.0))),(( data["cu__currency_3"])))) +(( -1.0*(((((( data["NAME_GOODS_CATEGORY_Gardening"])+(data["cnt_FLAG_DOCUMENT_2"])))/ 2.0)))))))
v["i73"] = np.tanh(np.where(np.where(data["cnt_NAME_HOUSING_TYPE"]>0, data["cnt_FLAG_DOCUMENT_16"], data["cnt_NAME_HOUSING_TYPE"])>0, data["FLAG_DOCUMENT_16"], np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["FLAG_DOCUMENT_16"], data["cnt_FLAG_DOCUMENT_16"])))
v["i74"] = np.tanh(np.minimum(((((data["cnt_FLAG_DOCUMENT_16"])-(((( np.tanh(( data["NAME_GOODS_CATEGORY_Clothing_and_Accessories"])))>(np.tanh(( np.minimum(((((( data["cnt_FLAG_DOCUMENT_16"])+(data["cnt_FLAG_DOCUMENT_16"])) /2.0))),(( data["FLAG_DOCUMENT_16"])))))))*1.))))) ,(( data["te_FLAG_DOCUMENT_16"]))))
v["i75"] = np.tanh(((((((( -1.0*(( np.minimum(((data["AMT_CREDIT_SUM_DEBT"])) ,(((0.37224778532981873)))))))) * 2.0)) *(data["AMT_CREDIT_SUM_DEBT"])))-(np.where(data["AMT_CREDIT_SUM_DEBT"]>0, -3.0,(((-1.0*(( data["AMT_CREDIT_SUM_DEBT"])))) * 2.0)))))
v["i76"] = np.tanh(((((( data["DAYS_EMPLOYED"])>(np.minimum(((np.tanh(( np.minimum(((data["DAYS_EMPLOYED"])) ,(((( 0.0)+(((( -1.0*(( 1.0)))) / 2.0)))))))))) ,(( data["avg_buro_buro_bal_status_0"])))))*1.))/ 2.0))
v["i77"] = np.tanh(np.where(data["EXT_SOURCE_3"]>0, data["EXT_SOURCE_3"],(( data["EXT_SOURCE_3"])*(((data["EXT_SOURCE_3"])+(2.0))))))
v["i78"] = np.tanh(((((np.maximum(((np.maximum(((-3.0)) ,(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0)))))) ,(((((-1.0*(((( data["EXT_SOURCE_3"])* 2.0)))))+(-3.0)))))) * 2.0)) * 2.0))
v["i79"] = np.tanh(np.minimum(((((((-1.0*(( data["ty__Car_loan"])))) +(np.maximum(((((( -1.0*(( data["inst_AMT_PAYMENT"])))) / 2.0))),(( data["AMT_REQ_CREDIT_BUREAU_DAY"])))))/2.0))),(((((( 2.0)* 2.0)) -(data["te_LIVE_REGION_NOT_WORK_REGION"]))))))
v["i80"] = np.tanh(((np.minimum(((np.where(((( data["te_OCCUPATION_TYPE"])<(1.0)) *1.) >0, data["FLAG_DOCUMENT_2"], np.minimum(((data["AMT_CREDIT_y"])) ,(( data["AMT_CREDIT_y"])))))) ,(( np.where(data["cc_bal_cc_bal_status__Sent_proposal"]>0, data["FLAG_DOCUMENT_2"], data["AMT_CREDIT_y"])))))/ 2.0))
v["i81"] = np.tanh(((( -1.0*(((((-1.0)>(((data["PRODUCT_COMBINATION_Cash_Street__low"])*(data["inst_AMT_PAYMENT"])))) *1.))))) -(((( np.maximum(((-2.0)) ,(( data["PRODUCT_COMBINATION_Cash_Street__low"])))) >(((2.0)* 2.0)))*1.))))
v["i82"] = np.tanh(((np.maximum(((((data["Returned_to_the_store"])+(np.tanh(((( data["cc_bal_cc_bal_status__Sent_proposal"])*(((( data["Returned_to_the_store"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0))))))))),(( np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["te_CNT_CHILDREN"])))))))* 2.0))
v["i83"] = np.tanh(((((( data["cnt_FLAG_DOCUMENT_15"])+(data["FLAG_DOCUMENT_2"])) /2.0)) +(np.where(((( 1.49800336360931396)) -(((-3.0)+(data["ca__Sold"])))) >0, data["NAME_GOODS_CATEGORY_Insurance"], data["ca__Sold"]))))
v["i84"] = np.tanh(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])>(((((( 3.23952984809875488)) *(((((((data["cnt_FLAG_DOCUMENT_5"])/ 2.0)) -(np.where(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"]>0, data["CODE_REJECT_REASON_SCOFR"], -1.0)))) * 2.0)))) * 2.0)))*1.))
v["i85"] = np.tanh(((( np.tanh(( np.tanh(((4.0)))))) +(np.minimum(((data["AMT_CREDIT_x"])) ,(((((( data["NAME_GOODS_CATEGORY_Insurance"])-(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))*(2.0)))))))/2.0))
v["i86"] = np.tanh(( -1.0*(((((((( 6.0)) *(data["cc_bal_SK_DPD_DEF"])))>(((( 1.0)+(data["AMT_GOODS_PRICE_x"])) /2.0)))*1.)))))
v["i87"] = np.tanh(( -1.0*(((((data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])>(((((( data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])<(data["inst_AMT_PAYMENT"])) *1.))*(data["cnt_HOUR_APPR_PROCESS_START_x"])))) *1.)))))
v["i88"] = np.tanh(np.tanh(((( np.where(((np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["AMT_GOODS_PRICE_x"])))) *(data["AMT_CREDIT_y"])) >0, data["cc_bal_CNT_DRAWINGS_CURRENT"],(-1.0*(( data["AMT_GOODS_PRICE_x"])))))/ 2.0))))
v["i89"] = np.tanh(((((((((((2.0)>(data["PRODUCT_COMBINATION_Cash_X_Sell__low"])) *1.))-(1.0)))+(((((( data["NAME_GOODS_CATEGORY_Insurance"])>(((( data["SK_DPD"])>(data["cc_bal_cc_bal_status__Sent_proposal"])) *1.))) *1.))* 2.0)))/2.0)) * 2.0))
v["i90"] = np.tanh(((((((((((data["SK_DPD"])* 2.0)) >(data["PRODUCT_COMBINATION_POS_industry_without_interest"])) *1.))+(np.tanh(( np.tanh(( np.tanh(((((data["FLAG_DOCUMENT_2"])+(((((data["HOUSETYPE_MODE"])/ 2.0)) / 2.0)))/2.0)))))))))/2.0)) * 2.0))
v["i91"] = np.tanh(((np.where(((( np.maximum(((((2.0)* 2.0))),(((((data["te_FLAG_OWN_REALTY"])>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))))) <(data["NAME_TYPE_SUITE_Children"])) *1.) >0, data["NAME_TYPE_SUITE_Children"],(( data["CODE_REJECT_REASON_VERIF"])/ 2.0)))*(data["te_FLAG_OWN_REALTY"])))
v["i92"] = np.tanh(np.minimum(((((((((( 2.68808555603027344)) <(data["AMT_CREDIT_y"])) *1.))+(0.0)) /2.0))),(((((((2.0)>(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) *1.))-(data["te_NAME_EDUCATION_TYPE"]))))))
v["i93"] = np.tanh(((((((data["cu__currency_3"])* 2.0)) -(data["YEARS_BEGINEXPLUATATION_MODE"])))*(np.maximum(((data["ORGANIZATION_TYPE"])) ,(((((-1.0*(((( data["YEARS_BEGINEXPLUATATION_MODE"])+(((data["cc_bal_cc_bal_status__Sent_proposal"])* 2.0)))))))+(data["ORGANIZATION_TYPE"]))))))))
v["i94"] = np.tanh(( -1.0*(((((np.maximum(((((( data["NAME_GOODS_CATEGORY_Insurance"])+(np.maximum(((((( data["NAME_GOODS_CATEGORY_Insurance"])+(1.0)) /2.0))),(( data["WEEKDAY_APPR_PROCESS_START_TUESDAY"])))))/2.0))),(( data["cc_bal_cc_bal_status__Sent_proposal"])))) +(np.minimum(((data["SK_ID_PREV_y"])) ,(( 0.0)))))/2.0)))))
v["i95"] = np.tanh(((((((((( np.maximum(((0.0)) ,(( data["NAME_CLIENT_TYPE_Repeater"])))) <(data["AMT_CREDIT_y"])) *1.))*(((data["NAME_CLIENT_TYPE_Repeater"])/ 2.0)))) * 2.0)) *(data["AMT_CREDIT_y"])))
v["i96"] = np.tanh(((((-1.0*(( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))) +(( -1.0*(((((data["NAME_CONTRACT_STATUS_Refused"])>(np.where(data["cc_bal_SK_DPD_DEF"]>0, data["CODE_REJECT_REASON_XAP"], 1.0)))*1.))))))/2.0))
v["i97"] = np.tanh(np.maximum(((((((( data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])* 2.0)) +(np.minimum(((data["SK_ID_PREV_x"])) ,(( 1.0)))))/2.0))),(((((((1.0)-(data["NAME_GOODS_CATEGORY_Insurance"])))<(((data["cc_bal_AMT_RECIVABLE"])/ 2.0)))*1.)))))
v["i98"] = np.tanh(np.minimum(((np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["cc_bal_SK_DPD_DEF"]))))),(((-1.0*(( np.minimum(((((data["inst_SK_ID_PREV"])* 2.0))),(((-1.0*(( np.tanh(((-1.0*(((((data["AMT_REQ_CREDIT_BUREAU_YEAR"])+(data["DAYS_LAST_DUE_1ST_VERSION"])) /2.0)))))))))))))))))))
v["i99"] = np.tanh(( -1.0*(((((((data["cc_bal_SK_DPD_DEF"])<(data["cu__currency_3"])) *1.))-(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])>(np.tanh(((((((data["cc_bal_SK_DPD_DEF"])>(-1.0)) *1.))+(1.0)))))) *1.)))))))
v["i100"] = np.tanh(((np.minimum(((((data["NONLIVINGAPARTMENTS_MODE"])*(np.maximum(((data["NAME_TYPE_SUITE_Unaccompanied"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"]))))))),(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))) *(((data["cc_bal_SK_DPD_DEF"])+(((data["NAME_TYPE_SUITE_Unaccompanied"])* 2.0))))))
v["i101"] = np.tanh(((data["cu__currency_3"])+(((((data["inst_AMT_PAYMENT"])*(((data["FLAG_DOCUMENT_14"])-(np.maximum(((((data["cu__currency_3"])-(data["inst_AMT_PAYMENT"])))) ,(( data["cc_bal_SK_DPD_DEF"])))))))) -(data["cnt_FLAG_DOCUMENT_2"])))))
v["i102"] = np.tanh(np.tanh(((((( data["EXT_SOURCE_2"])*(data["EXT_SOURCE_2"])))+(((data["EXT_SOURCE_2"])* 2.0))))))
v["i103"] = np.tanh(( -1.0*(((( np.minimum(((( 0.67251223325729370))),(((((((( data["EXT_SOURCE_2"])+(( -1.0*(( -2.0)))))) * 2.0)) * 2.0)))))/ 2.0)))))
v["i104"] = np.tanh(((np.where(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"]>0, data["AMT_CREDIT_y"],(((((data["HOUR_APPR_PROCESS_START_y"])<(np.tanh(( -2.0)))) *1.))/ 2.0)))-(((( 1.0)<(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])) *1.))))
v["i105"] = np.tanh(((( data["cc_bal_SK_DPD_DEF"])+(((data["cnt_FLAG_DOCUMENT_14"])+(np.maximum(((((((np.tanh(( data["ENTRANCES_AVG"])))/ 2.0)) -(1.0)))) ,(((( data["cu__currency_3"])-(data["ENTRANCES_MEDI"])))))))))/2.0))
v["i106"] = np.tanh(((( np.where(data["PRODUCT_COMBINATION_POS_industry_without_interest"]>0, np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((-1.0*(( data["LIVINGAPARTMENTS_AVG"])))))) , data["LIVINGAPARTMENTS_AVG"])) +(((( data["CNT_INSTALMENT_FUTURE"])>(3.0)) *1.))) /2.0))
v["i107"] = np.tanh(((((( data["FLAG_CONT_MOBILE"])<(data["cc_bal_SK_DPD_DEF"])) *1.))+(np.where(np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))>0, np.tanh(( data["FLAG_WORK_PHONE"])) , data["NAME_GOODS_CATEGORY_Direct_Sales"]))))
v["i108"] = np.tanh(((((((data["FLAG_DOCUMENT_11"])-(((np.maximum(((data["FLAG_DOCUMENT_11"])) ,(( data["SK_DPD"])))) / 2.0)))) *(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(3.0)))))* 2.0))
v["i109"] = np.tanh(((((((data["NAME_TYPE_SUITE_Children"])*(((((data["NAME_TYPE_SUITE_Children"])*(np.tanh(( data["ty__Microloan"])))))-(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])) ,(( np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])) ,(( -2.0)))))))))))* 2.0)) * 2.0))
v["i110"] = np.tanh(np.minimum(((data["cnt_FLAG_DOCUMENT_13"])) ,(((((((( 3.0)-(data["ty__Mortgage"])))* 2.0)) +(((data["cnt_FLAG_DOCUMENT_15"])+(data["cnt_FLAG_DOCUMENT_15"]))))))))
v["i111"] = np.tanh(((( data["NAME_GOODS_CATEGORY_Insurance"])+(((((((( data["PRODUCT_COMBINATION_POS_industry_without_interest"])* 2.0)) +(((((10.99971294403076172)) <(( 14.19601345062255859)))*1.))) /2.0)) *(np.minimum(((2.0)) ,(((((data["PRODUCT_COMBINATION_Card_X_Sell"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)))))))) /2.0))
v["i112"] = np.tanh(((((((( 2.0)*(((((((-1.0*(( data["avg_buro_MONTHS_BALANCE"])))) +(data["cu__currency_3"])) /2.0)) / 2.0)))) +(((( data["cnt_FLAG_DOCUMENT_11"])+(((data["cc_bal_SK_DPD_DEF"])/ 2.0)))/2.0)))/2.0)) +(data["cu__currency_3"])))
v["i113"] = np.tanh(((((((((0.0)<(data["DAYS_LAST_DUE_1ST_VERSION"])) *1.))* 2.0)) <(data["DAYS_CREDIT_ENDDATE"])) *1.))
v["i114"] = np.tanh(((((((-1.0*(((((np.tanh(( data["NAME_CONTRACT_STATUS_Approved"])))<(np.tanh(( data["te_OCCUPATION_TYPE"])))) *1.))))) / 2.0)) +(data["cnt_FLAG_DOCUMENT_17"])) /2.0))
v["i115"] = np.tanh(np.where(data["NAME_CLIENT_TYPE_Repeater"]>0,(( data["CODE_GENDER"])*(( -1.0*(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((data["CODE_GENDER"])* 2.0)))) +(data["te_ORGANIZATION_TYPE"])) /2.0)))))) , data["NAME_GOODS_CATEGORY_Direct_Sales"]))
v["i116"] = np.tanh(np.minimum(((((((-1.0*(( data["DAYS_BIRTH"])))) +(2.0)) /2.0))),(((( data["DAYS_BIRTH"])*(((data["cnt_DAYS_BIRTH"])+(np.tanh(( 2.0))))))))))
v["i117"] = np.tanh(( -1.0*(((((((-1.0)-(data["DAYS_ID_PUBLISH"])))>(((((( -1.0)/ 2.0)) +(np.tanh(( data["cnt_FLAG_EMAIL"])))) /2.0)))*1.)))))
v["i118"] = np.tanh(np.where(( -1.0*(((((data["FLAG_EMP_PHONE"])+(data["DAYS_EMPLOYED"])) /2.0)))) >0, -1.0, 1.0))
v["i119"] = np.tanh(((data["DAYS_BIRTH"])*(np.maximum(((((-3.0)*(((((6.0)) +(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0))))),(((( 1.0)-(np.maximum(((data["DAYS_BIRTH"])) ,(( data["AMT_CREDIT_y"])))))))))))
v["i120"] = np.tanh(((data["CNT_FAM_MEMBERS"])*(((((-1.0)+(data["DAYS_BIRTH"])))/ 2.0))))
v["i121"] = np.tanh(((((( 0.0)+(np.where(data["NAME_EDUCATION_TYPE"]>0, data["AMT_CREDIT_x"],(( data["FLAG_WORK_PHONE"])/ 2.0)))))+(((data["AMT_CREDIT_x"])*(( -1.0*(( data["FLAG_WORK_PHONE"])))))))/2.0))
v["i122"] = np.tanh(np.where(np.maximum(((data["te_FLAG_OWN_REALTY"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))>0,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0),(((0.0)>(data["cnt_NAME_CONTRACT_TYPE"])) *1.)))
v["i123"] = np.tanh(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((( data["MONTHS_BALANCE"])>(np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( np.maximum(((0.0)) ,(((( 2.0)+(data["WALLSMATERIAL_MODE"])))))))))) *1.))))* 2.0)) * 2.0))
v["i124"] = np.tanh(((((data["inst_AMT_PAYMENT"])-(-1.0)))*(((data["MONTHS_BALANCE"])*(( -1.0*(((((data["inst_DAYS_ENTRY_PAYMENT"])<(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_CASH_LOAN_PURPOSE_Furniture"], data["inst_DAYS_INSTALMENT"])))*1.)))))))))
v["i125"] = np.tanh(np.where(((data["CNT_INSTALMENT_FUTURE"])/ 2.0)>0,(((data["NAME_GOODS_CATEGORY_Construction_Materials"])<(data["NAME_EDUCATION_TYPE"])) *1.) ,(( data["NAME_EDUCATION_TYPE"])*(((data["NAME_EDUCATION_TYPE"])*(data["NAME_GOODS_CATEGORY_Construction_Materials"]))))))
v["i126"] = np.tanh(( -1.0*(((( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["AMT_GOODS_PRICE_x"],(((((( np.tanh(( -1.0)))+(data["PRODUCT_COMBINATION_Cash_Street__low"])) /2.0)) >(((((9.59368038177490234)) >(-1.0)) *1.))) *1.))) * 2.0)))))
v["i127"] = np.tanh(((((np.tanh(( -3.0)))-(data["NAME_SELLER_INDUSTRY_Connectivity"])))*(np.tanh(((( data["NONLIVINGAREA_MODE"])/ 2.0))))))
v["i128"] = np.tanh(((data["CODE_GENDER"])*(np.minimum(((np.minimum(((data["NONLIVINGAPARTMENTS_MODE"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"]))))),(( np.tanh(( np.minimum(((data["NONLIVINGAPARTMENTS_MODE"])) ,(((((( data["NONLIVINGAPARTMENTS_MODE"])*(data["WALLSMATERIAL_MODE"])))* 2.0))))))))))))
v["i129"] = np.tanh(((np.where(data["NAME_CASH_LOAN_PURPOSE_Furniture"]>0,(((( 1.0)+(data["cnt_HOUR_APPR_PROCESS_START_x"])))+(data["NAME_GOODS_CATEGORY_Insurance"])) , np.minimum(((0.0)) ,(((((( data["WALLSMATERIAL_MODE"])*(-1.0)))/ 2.0)))))) / 2.0))
v["i130"] = np.tanh(np.minimum(((((data["cnt_FLAG_DOCUMENT_16"])-(((((((( 0.0)* 2.0)) / 2.0)) >(( -1.0*(( data["NAME_GOODS_CATEGORY_House_Construction"])))))*1.))))) ,(((-1.0*(((((data["FLAG_DOCUMENT_16"])+(data["ty__Another_type_of_loan"])) /2.0))))))))
v["i131"] = np.tanh(np.where(((1.0)*(((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])>(data["NONLIVINGAPARTMENTS_MODE"])) *1.))) >0,(( data["cc_bal_SK_ID_PREV"])/ 2.0), np.maximum(((data["FLAG_DOCUMENT_21"])) ,(( data["NAME_SELLER_INDUSTRY_Auto_technology"])))))
v["i132"] = np.tanh(((data["AMT_CREDIT_x"])*(np.maximum(((-3.0)) ,(((((( -1.0*(( data["DAYS_ID_PUBLISH"])))) +(((((((-2.0)>(data["DAYS_ID_PUBLISH"])) *1.))<(data["NONLIVINGAPARTMENTS_MODE"])) *1.))) /2.0)))))))
v["i133"] = np.tanh(((((np.minimum(((((2.0)-(data["NONLIVINGAPARTMENTS_MODE"])))) ,(( data["NONLIVINGAPARTMENTS_MODE"])))) *(((data["te_LIVE_CITY_NOT_WORK_CITY"])-(data["NONLIVINGAPARTMENTS_MODE"])))))* 2.0))
v["i134"] = np.tanh(((((( -1.0*(((((data["cc_bal_cc_bal_status__Sent_proposal"])+(((((2.0)+(( 5.66302442550659180)))) *(data["AMT_CREDIT_x"])))) /2.0)))))*(((data["cc_bal_cc_bal_status__Sent_proposal"])/ 2.0)))) -(data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])))
v["i135"] = np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Medicine"])-(np.where(data["NAME_CASH_LOAN_PURPOSE_Medicine"]>0, data["Active"],(((((( np.tanh(((5.0)))) >(data["Active"])) *1.))<(np.tanh(( data["inst_AMT_PAYMENT"])))) *1.)))))
v["i136"] = np.tanh(((2.0)*(((((np.maximum(((((data["AMT_CREDIT_MAX_OVERDUE"])+(data["cnt_FLAG_DOCUMENT_2"])))) ,(((( data["AMT_CREDIT_MAX_OVERDUE"])*(( 9.91402626037597656)))))))*(( 9.91402626037597656)))) * 2.0))))
v["i137"] = np.tanh(np.where(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"]>0, data["SK_ID_BUREAU"], np.where(((((((1.0)+(2.0)) /2.0)) <(data["SK_ID_BUREAU"])) *1.) >0, data["SK_ID_PREV_x"],(( data["SK_ID_BUREAU"])*(data["SK_ID_PREV_x"])))))
v["i138"] = np.tanh(np.where(np.minimum(((1.0)) ,(((((( -1.0*(( -3.0)))) >(data["avg_buro_buro_count"])) *1.))))>0, np.minimum(((((data["NAME_YIELD_GROUP_high"])*(data["avg_buro_buro_count"])))) ,(((( data["PRODUCT_COMBINATION_Cash"])/ 2.0)))) , 1.0))
v["i139"] = np.tanh(((((((( data["AMT_CREDIT_SUM"])* 2.0)) <(((( 1.0)+(np.where(( -1.0*(((6.0)))) >0, data["avg_buro_buro_count"],(((( -1.0)/ 2.0)) -(2.0)))))/2.0)))*1.))* 2.0))
v["i140"] = np.tanh(((((((-1.0*(( -2.0)))) <(((data["NAME_GOODS_CATEGORY_Insurance"])+(data["SK_ID_BUREAU"])))) *1.))-(np.where(((data["avg_buro_buro_count"])*(-1.0)) >0, data["PRODUCT_COMBINATION_Cash_X_Sell__low"],(0.0)))))
v["i141"] = np.tanh(np.minimum(((((((( 2.0)<(data["CNT_INSTALMENT_FUTURE"])) *1.))/ 2.0))),(((((data["cnt_FLAG_EMAIL"])+(np.maximum(((3.0)) ,(( data["CNT_INSTALMENT_FUTURE"])))))/2.0)))))
v["i142"] = np.tanh(((((((((((np.maximum(((1.0)) ,(((((-3.0)>(( 12.31715393066406250)))*1.))))) <(data["CNT_INSTALMENT"])) *1.))* 2.0)) <(np.where(data["DAYS_BIRTH"]>0, data["EXT_SOURCE_3"], data["AMT_CREDIT_x"])))*1.))/ 2.0))
v["i143"] = np.tanh(np.minimum(((((data["NAME_GOODS_CATEGORY_Insurance"])-(((( data["NAME_GOODS_CATEGORY_Insurance"])+(data["te_WALLSMATERIAL_MODE"])) /2.0))))),(((((( -1.0)*(((( data["NAME_CLIENT_TYPE_Repeater"])<(data["DAYS_BIRTH"])) *1.))))/ 2.0)))))
v["i144"] = np.tanh(((((((( data["SK_ID_PREV_y"])*(data["inst_AMT_PAYMENT"])))* 2.0)) +(((data["SK_ID_PREV_y"])*(np.minimum(((data["EXT_SOURCE_2"])) ,(((((data["inst_AMT_PAYMENT"])>(0.0)) *1.))))))))/2.0))
v["i145"] = np.tanh(((((data["AMT_GOODS_PRICE_x"])*(np.tanh(( np.minimum(((( -1.0*(( data["CNT_INSTALMENT_FUTURE"]))))),(((((((data["NAME_CLIENT_TYPE_Repeater"])+(( -1.0*(( data["AMT_GOODS_PRICE_x"])))))/2.0)) / 2.0)))))))))/ 2.0))
v["i146"] = np.tanh(np.tanh(((((((((( data["NAME_CLIENT_TYPE_Repeater"])+(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])) /2.0)) +(np.where(((((( data["AMT_CREDIT_x"])/ 2.0)) >(data["AMT_CREDIT_y"])) *1.) >0, data["AMT_CREDIT_x"], data["NAME_GOODS_CATEGORY_Insurance"])))/2.0)) / 2.0))))
v["i147"] = np.tanh(((((-1.0*(((((((data["DAYS_LAST_DUE_1ST_VERSION"])>(((((2.0)) >(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))) *1.))*(data["inst_NUM_INSTALMENT_NUMBER"])))))) +(((((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])<(data["inst_NUM_INSTALMENT_NUMBER"])) *1.))*(data["NAME_CONTRACT_STATUS_Approved"])))) /2.0))
v["i148"] = np.tanh(np.where(((data["AMT_GOODS_PRICE_x"])* 2.0)>0, data["Completed"],(((((np.tanh(( data["SK_ID_PREV_x"])))+(np.tanh(( 1.0)))) /2.0)) / 2.0)))
v["i149"] = np.tanh(((3.0)*(np.minimum(((np.minimum(((((data["AMT_CREDIT_x"])+(1.0)))) ,(((( data["NAME_GOODS_CATEGORY_Insurance"])*(data["NAME_CASH_LOAN_PURPOSE_Furniture"]))))))),(((((data["AMT_CREDIT_x"])+(1.0)) /2.0)))))))
v["i150"] = np.tanh(((data["CNT_INSTALMENT_FUTURE"])*(((((((( data["AMT_GOODS_PRICE_x"])*(( -1.0*(( data["SK_DPD"])))))) <(data["SK_DPD"])) *1.))* 2.0))))
v["i151"] = np.tanh(((((((-1.0*(( np.tanh(( np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(((( data["FLAG_DOCUMENT_2"])*(data["SK_DPD"])))))))))))+(((((data["SK_DPD"])-(((data["AMT_GOODS_PRICE_x"])/ 2.0)))) / 2.0)))/2.0)) / 2.0))
v["i152"] = np.tanh(np.where(data["SK_DPD"]>0,(-1.0*(( data["te_OCCUPATION_TYPE"]))),(((( np.where(data["AMT_CREDIT_x"]>0,(-1.0*(( data["te_OCCUPATION_TYPE"]))),(((( -2.0)/ 2.0)) / 2.0)))/ 2.0)) / 2.0)))
v["i153"] = np.tanh(((((( data["AMT_CREDIT_x"])>(np.maximum(((( -1.0*(( data["cnt_NAME_EDUCATION_TYPE"]))))),(((((((( -1.0*(( np.minimum(((data["AMT_CREDIT_x"])) ,(( np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))))))/ 2.0)) >(data["SK_DPD"])) *1.))))))*1.))/ 2.0))
v["i154"] = np.tanh(np.minimum(((((( data["cnt_FLAG_DOCUMENT_17"])+(data["cnt_FLAG_DOCUMENT_15"])) /2.0))),(( np.tanh(((( np.maximum(((data["cnt_FLAG_DOCUMENT_17"])) ,(((-1.0*(( data["AMT_GOODS_PRICE_x"])))))))-(np.where(-3.0>0, data["cnt_FLAG_DOCUMENT_17"], data["cnt_NAME_HOUSING_TYPE"])))))))))
v["i155"] = np.tanh(((data["NAME_SELLER_INDUSTRY_MLM_partners"])*(((np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_GOODS_CATEGORY_Direct_Sales"],(-1.0*(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))-(np.maximum(((np.maximum(((3.0)) ,(( data["SK_DPD"]))))),(( 0.0))))))))
v["i156"] = np.tanh(np.minimum(((((np.minimum(((data["FLAG_DOCUMENT_21"])) ,(((( data["AMT_CREDIT_x"])/ 2.0)))))*(data["AMT_REQ_CREDIT_BUREAU_MON"])))) ,(( np.tanh(((( np.minimum(((((data["AMT_CREDIT_x"])/ 2.0))),(( 0.0)))) / 2.0)))))))
v["i157"] = np.tanh(((((((((((data["AMT_GOODS_PRICE_x"])<(((np.tanh(((10.0)))) / 2.0)))*1.))>(((((((data["inst_AMT_PAYMENT"])+(0.0)) /2.0)) >(( -1.0*(( 0.0)))))*1.))) *1.))/ 2.0)) / 2.0))
v["i158"] = np.tanh(((((((( 3.0)<(((((( data["NAME_YIELD_GROUP_high"])+(((( -2.0)>(np.tanh(( data["FLAG_DOCUMENT_21"])))) *1.))) /2.0)) +(data["AMT_CREDIT_y"])))) *1.))-(data["cnt_FLAG_DOCUMENT_21"])))* 2.0))
v["i159"] = np.tanh(((((((data["FLAG_DOCUMENT_2"])+(( -1.0*(((((data["AMT_GOODS_PRICE_x"])>(np.tanh(( np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((( data["AMT_GOODS_PRICE_x"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))))*1.))))))) / 2.0)) / 2.0))
v["i160"] = np.tanh(((((((data["AMT_CREDIT_x"])+(data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) /2.0)) +(((( -3.0)>(((data["AMT_CREDIT_x"])+(((data["AMT_CREDIT_x"])* 2.0)))))*1.))) /2.0))
v["i161"] = np.tanh(((data["AMT_GOODS_PRICE_x"])*(np.where(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(data["NAME_GOODS_CATEGORY_Insurance"])) >0, -1.0,(( data["AMT_GOODS_PRICE_x"])*(np.tanh(( data["CODE_REJECT_REASON_VERIF"]))))))))
v["i162"] = np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Furniture"]>0,(( data["OCCUPATION_TYPE"])/ 2.0),(((((( data["te_WEEKDAY_APPR_PROCESS_START"])/ 2.0)) / 2.0)) / 2.0)))
v["i163"] = np.tanh(( -1.0*(((( 3.0)*(((( data["CODE_REJECT_REASON_VERIF"])>(((( 9.0)) +(( -1.0*(( np.maximum(((np.minimum(((data["te_REG_REGION_NOT_LIVE_REGION"])) ,(( data["te_REG_REGION_NOT_LIVE_REGION"]))))),(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))))))) *1.)))))))
v["i164"] = np.tanh(((( data["cnt_FLAG_DOCUMENT_17"])>(((data["CODE_REJECT_REASON_VERIF"])-(np.where(data["SK_DPD"]>0, -3.0,(( data["SK_DPD"])* 2.0)))))) *1.))
v["i165"] = np.tanh(((((data["NAME_EDUCATION_TYPE"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+(((((np.minimum(((data["cnt_FLAG_DOCUMENT_17"])) ,(((((((10.18762969970703125)) -(data["CODE_REJECT_REASON_VERIF"])))+(( 3.18121862411499023)))))))/ 2.0)) / 2.0))))
v["i166"] = np.tanh(((((( -1.0*(( data["NAME_YIELD_GROUP_high"])))) *(((((-1.0*(( -1.0)))) <(((data["cnt_HOUR_APPR_PROCESS_START_x"])*(2.0)))) *1.))))/ 2.0))
v["i167"] = np.tanh(((( -1.0*(((( np.minimum(((((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(data["PRODUCT_COMBINATION_Cash_Street__high"])))* 2.0))),(( 2.0)))) +(((( 3.0)<(data["PRODUCT_COMBINATION_Cash_X_Sell__low"])) *1.))))))) * 2.0))
v["i168"] = np.tanh(((data["SK_DPD"])*(((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])+(((((data["PRODUCT_COMBINATION_Card_Street"])+(((data["PRODUCT_COMBINATION_Card_Street"])-(((data["NAME_SELLER_INDUSTRY_Connectivity"])* 2.0)))))) -(data["NAME_GOODS_CATEGORY_Insurance"])))))))
v["i169"] = np.tanh(((data["AMT_CREDIT_x"])*(((((((data["ty__Mortgage"])>(((( data["NAME_GOODS_CATEGORY_Insurance"])+(np.where(data["ty__Mortgage"]>0, 3.0, 1.0)))/2.0)))*1.))<(((data["ty__Mortgage"])/ 2.0)))*1.))))
v["i170"] = np.tanh(( -1.0*(( np.where(data["ty__Mortgage"]>0, data["cc_bal_CNT_DRAWINGS_CURRENT"],(((((3.0)<(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])+(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) /2.0)))*1.))*(( -1.0*(( data["cc_bal_CNT_DRAWINGS_CURRENT"]))))))))))
v["i171"] = np.tanh(np.where(0.0>0, -3.0, np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0,(((data["DEF_30_CNT_SOCIAL_CIRCLE"])>(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.) , np.where(data["cu__currency_3"]>0, 2.0,(((data["DEF_30_CNT_SOCIAL_CIRCLE"])>(2.0)) *1.)))))
v["i172"] = np.tanh(np.minimum(((( -1.0*(( np.where(((data["NAME_YIELD_GROUP_high"])/ 2.0)>0, data["ty__Mortgage"], data["NAME_GOODS_CATEGORY_Weapon"])))))) ,(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["cnt_HOUR_APPR_PROCESS_START_x"], data["NAME_GOODS_CATEGORY_Direct_Sales"])))))
v["i173"] = np.tanh(( -1.0*(((((( data["CHANNEL_TYPE_Car_dealer"])+(((np.maximum(((data["CHANNEL_TYPE_Car_dealer"])) ,(( np.tanh(( -2.0)))))) +(data["NAME_GOODS_CATEGORY_Fitness"])))))+(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NONLIVINGAPARTMENTS_MODE"], data["CHANNEL_TYPE_Car_dealer"])))))))
v["i174"] = np.tanh(np.where(np.where(((-2.0)+(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])) >0, data["WEEKDAY_APPR_PROCESS_START_MONDAY"], data["NONLIVINGAPARTMENTS_MODE"])>0, data["NAME_GOODS_CATEGORY_Computers"], np.minimum(((((data["NONLIVINGAPARTMENTS_MODE"])/ 2.0))),(((( data["NAME_GOODS_CATEGORY_Computers"])*(data["NAME_GOODS_CATEGORY_Gardening"])))))))
v["i175"] = np.tanh(((( -1.0*(( np.where(data["NAME_YIELD_GROUP_high"]>0, data["NONLIVINGAPARTMENTS_MODE"],(-1.0*(( np.where(( 12.60592746734619141)>0, data["NONLIVINGAPARTMENTS_MODE"],(( data["NONLIVINGAPARTMENTS_MODE"])* 2.0)))))))))) * 2.0))
v["i176"] = np.tanh(( -1.0*(((( np.tanh(((((((data["FLAG_DOCUMENT_17"])<(data["WEEKDAY_APPR_PROCESS_START_MONDAY"])) *1.))-(data["NAME_GOODS_CATEGORY_Weapon"])))))*(np.where(data["WEEKDAY_APPR_PROCESS_START_MONDAY"]>0,(( data["AMT_REQ_CREDIT_BUREAU_WEEK"])+(data["AMT_REQ_CREDIT_BUREAU_WEEK"])) , data["FLAG_DOCUMENT_17"])))))))
v["i177"] = np.tanh(np.where(((((10.0)) <(data["NONLIVINGAPARTMENTS_MODE"])) *1.) >0, 3.0, np.where(data["NONLIVINGAPARTMENTS_MODE"]>0,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0), data["AMT_REQ_CREDIT_BUREAU_DAY"])))
v["i178"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["avg_buro_buro_count"], np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((( data["NAME_YIELD_GROUP_high"])*(np.tanh(((( data["avg_buro_buro_count"])* 2.0))))))))))
v["i179"] = np.tanh(((((-1.0*(((( -1.0)-(data["avg_buro_buro_count"])))))) <(np.minimum(((data["te_HOUR_APPR_PROCESS_START_x"])) ,(((( data["DAYS_ENDDATE_FACT"])* 2.0)))))) *1.))
v["i180"] = np.tanh(np.minimum(((((( 3.0)<(data["AMT_CREDIT_x"])) *1.))) ,(((((((( 3.0)<(data["AMT_CREDIT_x"])) *1.))+(np.maximum(((data["AMT_CREDIT_x"])) ,(( data["cnt_HOUR_APPR_PROCESS_START_x"])))))/2.0)))))
v["i181"] = np.tanh(( -1.0*(((((((np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_GOODS_CATEGORY_Insurance"], data["NAME_GOODS_CATEGORY_Direct_Sales"])) >(((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(data["AMT_GOODS_PRICE_x"])))* 2.0)))*1.))/ 2.0)))))
v["i182"] = np.tanh(((((( data["FLAG_CONT_MOBILE"])+(np.tanh(( np.tanh(( np.tanh(( np.tanh(( data["CODE_GENDER"])))))))))) /2.0)) *(data["AMT_CREDIT_x"])))
v["i183"] = np.tanh(((((((((((((np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(( 0.0)))) * 2.0)) <(0.0)) *1.))<(( -1.0*(( data["AMT_GOODS_PRICE_x"])))))*1.))/ 2.0)) / 2.0))
v["i184"] = np.tanh(((data["NAME_YIELD_GROUP_high"])*(((( data["cc_bal_SK_DPD_DEF"])<(((((-1.0)+(data["inst_NUM_INSTALMENT_VERSION"])))+(((((0.0)) <(((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))*1.))))) *1.))))
v["i185"] = np.tanh(((( np.tanh(((((((data["cc_bal_SK_DPD_DEF"])-(data["AMT_DOWN_PAYMENT"])))<(np.where(((( 5.78417444229125977)) +(( -1.0*(( data["cc_bal_SK_DPD_DEF"])))))>0, data["NAME_GOODS_CATEGORY_Insurance"], data["NAME_GOODS_CATEGORY_Insurance"])))*1.))))<(data["AMT_DOWN_PAYMENT"])) *1.))
v["i186"] = np.tanh(((( np.tanh(((( data["AMT_CREDIT_x"])/ 2.0)))) +(np.tanh(((( data["RATE_DOWN_PAYMENT"])*(((( -1.0*(((((data["CNT_INSTALMENT_FUTURE"])<(((data["AMT_CREDIT_x"])* 2.0)))*1.))))) / 2.0)))))))/2.0))
v["i187"] = np.tanh(np.minimum(((((((((((data["AMT_ANNUITY_x"])>(data["AMT_GOODS_PRICE_x"])) *1.))/ 2.0)) +(np.minimum(((data["NAME_PORTFOLIO_Cards"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))))/2.0))),(((6.0)))))
v["i188"] = np.tanh(((((((( np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(((((8.0)) +(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])))))) +(( -1.0*(( 3.0)))))/2.0)) *(((((-1.0*(( data["AMT_GOODS_PRICE_x"])))) <(( 0.21274571120738983)))*1.))))/ 2.0))
v["i189"] = np.tanh(((((((np.maximum(((((((((((( data["SK_DPD"])+(data["SK_DPD"])) /2.0)) <(data["cc_bal_SK_ID_PREV"])) *1.))+(((( data["CNT_INSTALMENT_FUTURE"])+(data["SK_DPD"])) /2.0)))/2.0))),(( data["NAME_GOODS_CATEGORY_Insurance"])))) / 2.0)) * 2.0)) / 2.0))
v["i190"] = np.tanh(((((-1.0)/ 2.0)) *(np.where(data["CODE_REJECT_REASON_HC"]>0, data["NFLAG_INSURED_ON_APPROVAL"], np.minimum(((np.minimum(((data["MONTHS_BALANCE"])) ,(( 2.0))))),(( 0.0)))))))
v["i191"] = np.tanh(((((((2.39028859138488770)) >(np.maximum(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) ,(((-1.0*(((( data["AMT_CREDIT_x"])* 2.0)))))))))*1.))+(-1.0)))
v["i192"] = np.tanh(np.where(np.tanh(( data["NAME_YIELD_GROUP_high"])) >0, np.maximum(((((( np.tanh(((((data["CHANNEL_TYPE_Car_dealer"])+(data["DAYS_DECISION"])) /2.0)))) +(data["CHANNEL_TYPE_Car_dealer"])) /2.0))),(( data["SK_ID_PREV_x"]))),(-1.0*(( data["CHANNEL_TYPE_Car_dealer"])))))
v["i193"] = np.tanh(np.where(data["SK_ID_PREV_y"]>0,(( np.minimum(((np.minimum(((data["NAME_YIELD_GROUP_high"])) ,(((( data["NAME_YIELD_GROUP_high"])+(3.0))))))),(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *(data["NAME_CONTRACT_STATUS_Refused"])) , data["NAME_GOODS_CATEGORY_Direct_Sales"]))
v["i194"] = np.tanh(np.minimum(((1.0)) ,(((-1.0*(( np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( data["DAYS_BIRTH"])*(np.tanh(( data["AMT_REQ_CREDIT_BUREAU_YEAR"]))))))))))))))
v["i195"] = np.tanh(((((( np.minimum(((data["CNT_INSTALMENT"])) ,(((((( -1.0)* 2.0)) *(((data["CNT_INSTALMENT"])/ 2.0)))))))>(data["SK_ID_PREV_y"])) *1.))/ 2.0))
v["i196"] = np.tanh(( -1.0*(((((data["DAYS_BIRTH"])>(((3.0)-(((((( data["DAYS_BIRTH"])+(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(-3.0)))) /2.0)) * 2.0)))))*1.)))))
v["i197"] = np.tanh(((((((((((data["cnt_DAYS_BIRTH"])/ 2.0)) +(( 3.49354934692382812)))/2.0)) <(data["DAYS_ID_PUBLISH"])) *1.))*(data["DAYS_ID_PUBLISH"])))
v["i198"] = np.tanh(((( np.maximum(((((data["NAME_INCOME_TYPE"])+(-2.0)))) ,(((((data["cnt_DAYS_BIRTH"])>(((( data["NAME_INCOME_TYPE"])<(0.0)) *1.))) *1.))))) <(data["NAME_GOODS_CATEGORY_House_Construction"])) *1.))
v["i199"] = np.tanh(((np.minimum(((( 7.0))),(((( np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( np.tanh(((( np.tanh(((( data["cnt_FLAG_EMP_PHONE"])+(data["DAYS_EMPLOYED"])))))*(( 9.89645957946777344)))))))))* 2.0)))))* 2.0))
v["i200"] = np.tanh(((np.tanh(((((data["SK_ID_BUREAU"])<(-1.0)) *1.))))*(((( data["NAME_YIELD_GROUP_high"])>(((data["SK_ID_BUREAU"])-(np.maximum(((data["te_FLAG_DOCUMENT_20"])) ,(((( -3.0)* 2.0)))))))) *1.))))
v["i201"] = np.tanh(((np.minimum(((((data["NAME_CLIENT_TYPE_New"])*(((data["DAYS_LAST_PHONE_CHANGE"])*(data["SK_ID_BUREAU"])))))) ,(((((((( 3.0)<(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.))>(data["DAYS_LAST_PHONE_CHANGE"])) *1.))))) / 2.0))
v["i202"] = np.tanh(( -1.0*(((( np.maximum(((((( -2.0)>(data["DAYS_BIRTH"])) *1.))) ,(((( np.where(((3.0)-(data["te_LIVE_REGION_NOT_WORK_REGION"])) >0, -3.0, data["DAYS_BIRTH"])) * 2.0)))))* 2.0)))))
v["i203"] = np.tanh(( -1.0*(( np.where(np.minimum(((1.0)) ,(((( data["SK_ID_BUREAU"])+(-2.0)))))>0, -1.0,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])* 2.0))))))
v["i204"] = np.tanh(np.minimum(((( -1.0*(( np.where(data["te_FLAG_DOCUMENT_20"]>0, data["NAME_GOODS_CATEGORY_Weapon"], data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) ,(((((((( data["NAME_GOODS_CATEGORY_Weapon"])+(((data["NAME_CONTRACT_STATUS_Approved"])*(data["NFLAG_LAST_APPL_IN_DAY"])))))* 2.0)) / 2.0)))))
v["i205"] = np.tanh(((((data["te_FLAG_DOCUMENT_20"])*(np.where(data["te_FLAG_DOCUMENT_20"]>0, data["te_FLAG_DOCUMENT_20"],(6.34485292434692383)))))*(np.where(np.tanh(((4.0)))>0, data["NAME_GOODS_CATEGORY_Direct_Sales"], data["NAME_GOODS_CATEGORY_Insurance"]))))
v["i206"] = np.tanh(((data["SK_ID_PREV_x"])*(((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])-(( -1.0*(((((((data["SK_ID_PREV_x"])* 2.0)) >(( 14.96901893615722656)))*1.))))))) -(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))
v["i207"] = np.tanh(((data["cnt_FLAG_DOCUMENT_10"])+(((((np.where(data["cnt_FLAG_DOCUMENT_17"]>0, data["NAME_YIELD_GROUP_high"], data["NAME_GOODS_CATEGORY_Insurance"])) *(data["FLAG_DOCUMENT_17"])))*(( 8.24418640136718750))))))
v["i208"] = np.tanh(np.where(((-1.0)+(data["CNT_INSTALMENT"])) >0, data["REG_REGION_NOT_WORK_REGION"],(-1.0*(( data["NAME_GOODS_CATEGORY_Medical_Supplies"])))))
v["i209"] = np.tanh(np.where(((data["AMT_ANNUITY_x"])*(data["FLAG_DOCUMENT_15"])) >0, np.minimum(((( 0.83881276845932007))),(((( -1.0)-(data["AMT_ANNUITY_x"]))))),(( data["FLAG_DOCUMENT_15"])*(data["AMT_ANNUITY_x"]))))
v["i210"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["te_FLAG_DOCUMENT_3"],(((-1.0*(((( 0.0)-(((( data["AMT_GOODS_PRICE_x"])<(((data["AMT_ANNUITY_x"])-(((((9.0)) <(3.0)) *1.))))) *1.))))))) / 2.0)))
v["i211"] = np.tanh(((((-2.0)/ 2.0)) +(((( data["AMT_CREDIT_x"])>(((np.where(((3.0)*(data["AMT_ANNUITY_x"])) >0, data["NAME_GOODS_CATEGORY_Direct_Sales"], data["AMT_ANNUITY_x"])) * 2.0)))*1.))))
v["i212"] = np.tanh(( -1.0*(((((((((( 2.0)+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) -(np.minimum(((-2.0)) ,(((12.27902317047119141)))))))<(((data["AMT_GOODS_PRICE_x"])+(data["AMT_ANNUITY_x"])))) *1.)))))
v["i213"] = np.tanh(((((( -3.0)>(((np.where(((((((( data["AMT_CREDIT_x"])/ 2.0)) +(data["CNT_PAYMENT"])) /2.0)) / 2.0)>0, data["DAYS_BIRTH"],(( data["CNT_PAYMENT"])/ 2.0)))* 2.0)))*1.))* 2.0))
v["i214"] = np.tanh(np.minimum(((((((data["AMT_CREDIT_x"])/ 2.0)) / 2.0))),(((((((-1.0)* 2.0)) >(((data["AMT_CREDIT_x"])-(( 3.90542602539062500)))))*1.)))))
v["i215"] = np.tanh(((((np.tanh(((-1.0*(( np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(((( data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0)))))))))) / 2.0)) +(((( data["CHANNEL_TYPE_AP___Cash_loan_"])>(((( 4.0)) +(np.tanh(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) *1.))))
v["i216"] = np.tanh(((( -1.0*(((((((np.minimum(((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0))),(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *(( 6.0)))) >(data["HOUR_APPR_PROCESS_START_x"])) *1.))))) / 2.0))
v["i217"] = np.tanh(((( np.where(data["FLAG_DOCUMENT_2"]>0,(((-1.0)<(-2.0)) *1.) ,(((( -1.0*(( data["cnt_FLAG_DOCUMENT_2"])))) +(3.0)) /2.0)))<(((( data["REGION_RATING_CLIENT_W_CITY"])+(data["te_HOUR_APPR_PROCESS_START_x"])) /2.0)))*1.))
v["i218"] = np.tanh(((3.0)*(np.tanh(( np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( np.minimum(((((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])>(((( data["cnt_REGION_RATING_CLIENT"])<(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])) *1.))) *1.))>(data["cnt_FLAG_DOCUMENT_2"])) *1.))) ,(( data["cnt_HOUR_APPR_PROCESS_START_x"])))))))))))
v["i219"] = np.tanh(((data["te_FLAG_DOCUMENT_18"])*(((data["cnt_REGION_RATING_CLIENT_W_CITY"])+(data["AMT_CREDIT_x"])))))
v["i220"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(-1.0*(((((((( -1.0*(( -1.0)))) *(((((((3.0)) +(( -1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))/2.0)) / 2.0)))) +(data["cnt_FLAG_DOCUMENT_18"])) /2.0)))) , data["cnt_FLAG_DOCUMENT_18"]))
v["i221"] = np.tanh(((data["cnt_FLAG_DOCUMENT_18"])-(np.tanh(((((0.0)>(np.maximum(((((((((data["REGION_POPULATION_RELATIVE"])+(data["te_FLAG_DOCUMENT_18"])))+(data["te_FLAG_DOCUMENT_18"])))-(data["cc_bal_SK_DPD_DEF"])))) ,(( data["cc_bal_SK_DPD_DEF"])))))*1.))))))
v["i222"] = np.tanh(((data["inst_NUM_INSTALMENT_VERSION"])*(((data["SK_ID_PREV_x"])*(( -1.0*(((((((((((((data["NAME_CLIENT_TYPE_Repeater"])<(((-1.0)/ 2.0)))*1.))* 2.0)) >(data["AMT_GOODS_PRICE_x"])) *1.))>(data["NAME_PORTFOLIO_Cards"])) *1.)))))))))
v["i223"] = np.tanh(((( -1.0)+(((((( data["AMT_GOODS_PRICE_x"])*(data["NAME_CLIENT_TYPE_New"])))<(((( 2.0)+(((data["SK_ID_PREV_x"])/ 2.0)))/2.0)))*1.))) /2.0))
v["i224"] = np.tanh(np.where(data["HOUR_APPR_PROCESS_START_y"]>0,(-1.0*(( np.minimum(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) ,(((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])* 2.0))))))), data["NAME_GOODS_CATEGORY_Insurance"]))
v["i225"] = np.tanh(((((data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])*(data["cc_bal_CNT_DRAWINGS_CURRENT"])))*(( -1.0*(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(( data["cc_bal_CNT_DRAWINGS_CURRENT"])*(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, -2.0, data["inst_NUM_INSTALMENT_VERSION"]))), data["inst_NUM_INSTALMENT_VERSION"])))))))
v["i226"] = np.tanh(((data["AMT_ANNUITY_x"])*(((( np.minimum(((((((( 1.0)/ 2.0)) <(((data["CNT_INSTALMENT_FUTURE"])/ 2.0)))*1.))) ,(( data["AMT_ANNUITY_x"])))) >(data["avg_buro_buro_bal_status_C"])) *1.))))
v["i227"] = np.tanh(( -1.0*(((((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])+(((( data["AMT_GOODS_PRICE_x"])>(((((((np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))) >(( 2.34558510780334473)))*1.))+(data["AMT_ANNUITY_x"])) /2.0)))*1.))) /2.0)))))
v["i228"] = np.tanh(np.tanh(((((( np.tanh(((((((data["avg_buro_buro_bal_status_C"])+(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])+(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])) /2.0)))) >(np.tanh(( 3.0)))) *1.))))-(data["AMT_ANNUITY_x"])))+(data["AMT_CREDIT_x"])))))
v["i229"] = np.tanh(np.minimum(((((((data["NAME_GOODS_CATEGORY_Insurance"])-(((( data["AMT_GOODS_PRICE_x"])>(1.0)) *1.))))/ 2.0))),(((-1.0*(((((( -1.0*(( -2.0)))) <(data["AMT_GOODS_PRICE_x"])) *1.))))))))
v["i230"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, np.where(data["AMT_CREDIT_x"]>0,(2.79278469085693359), data["te_CODE_GENDER"]),(((-2.0)>(((data["te_FLAG_DOCUMENT_8"])/ 2.0)))*1.)))
v["i231"] = np.tanh(((((((((((( 3.0)+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) >(data["AMT_CREDIT_x"])) *1.))<(((-3.0)*(data["cc_bal_SK_DPD_DEF"])))) *1.))-(data["CODE_REJECT_REASON_SYSTEM"])))
v["i232"] = np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0, data["HOUR_APPR_PROCESS_START_y"],(((-1.0*(((((((np.maximum(((data["HOUR_APPR_PROCESS_START_y"])) ,(( data["CNT_INSTALMENT"])))) +(data["NAME_GOODS_CATEGORY_Weapon"])) /2.0)) / 2.0)))))/ 2.0)))
v["i233"] = np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])*(data["FLAG_DOCUMENT_17"])))+(np.maximum(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])) ,(((-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])))))))) ,(((((((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])/ 2.0)) >(( 6.61112833023071289)))*1.)))))))
v["i234"] = np.tanh(np.minimum(((((( np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(( data["cnt_FLAG_DOCUMENT_13"])))) >(3.0)) *1.))) ,(((( data["AMT_CREDIT_x"])-(((((((( data["cnt_FLAG_DOCUMENT_13"])* 2.0)) >(data["CNT_INSTALMENT_FUTURE"])) *1.))+(-2.0))))))))
v["i235"] = np.tanh(( -1.0*(( np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["EXT_SOURCE_3"],(((np.minimum(((data["NAME_GOODS_CATEGORY_Fitness"])) ,(( np.tanh(((-1.0*(( data["EXT_SOURCE_3"])))))))))+(((data["cnt_FLAG_DOCUMENT_10"])/ 2.0)))/2.0))))))
v["i236"] = np.tanh(np.minimum(((((2.0)-(data["CNT_INSTALMENT"])))) ,(( np.tanh(( np.where(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"]>0, data["NAME_CASH_LOAN_PURPOSE_Furniture"], np.where(data["cc_bal_SK_DPD_DEF"]>0, -3.0,(( data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])*(( 7.0)))))))))))
v["i237"] = np.tanh(np.where(data["avg_buro_buro_count"]>0, np.where(data["cc_bal_SK_DPD_DEF"]>0, data["avg_buro_buro_count"], data["cnt_FLAG_DOCUMENT_13"]), np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["cnt_FLAG_DOCUMENT_13"])))))
v["i238"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_House_Construction"]>0, data["avg_buro_buro_count"],(((((-2.0)/ 2.0)) +(((( data["NAME_GOODS_CATEGORY_House_Construction"])<(((((data["avg_buro_buro_count"])-(data["NAME_GOODS_CATEGORY_Fitness"])))*(data["NAME_GOODS_CATEGORY_Fitness"])))) *1.))) /2.0)))
v["i239"] = np.tanh(((((((((((data["cnt_FLAG_DOCUMENT_14"])/ 2.0)) +(( -1.0*(( data["nans"])))))/2.0)) / 2.0)) +(((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])*(data["nans"])))) /2.0))
v["i240"] = np.tanh(np.tanh(((((((((((data["CNT_INSTALMENT_FUTURE"])*(data["CNT_INSTALMENT_FUTURE"])))/ 2.0)) >(((( data["REG_REGION_NOT_WORK_REGION"])<(data["cc_bal_SK_DPD_DEF"])) *1.))) *1.))/ 2.0))))
v["i241"] = np.tanh(((data["AMT_CREDIT_MAX_OVERDUE"])*(((( 12.82818222045898438)) +(((((( 12.73882579803466797)) +(((( 12.73882579803466797)) *(( 13.13270282745361328)))))) *(((data["cc_bal_SK_DPD_DEF"])* 2.0))))))))
v["i242"] = np.tanh(((data["FLAG_LAST_APPL_PER_CONTRACT_N"])*(((((( data["te_REG_REGION_NOT_LIVE_REGION"])+(data["FONDKAPREMONT_MODE"])) /2.0)) +(((( data["FONDKAPREMONT_MODE"])>(((( -1.0*(( -3.0)))) / 2.0)))*1.))))))
v["i243"] = np.tanh(( -1.0*(( np.tanh(((( data["inst_AMT_PAYMENT"])*(((data["inst_AMT_PAYMENT"])*(np.maximum(((-1.0)) ,(( data["CNT_INSTALMENT"])))))))))))))
v["i244"] = np.tanh(((np.where(((np.tanh(( data["AMT_CREDIT_y"])))+(((((1.0)) +(((data["cnt_FLAG_DOCUMENT_10"])* 2.0)))/2.0)))>0,(((data["CNT_INSTALMENT_FUTURE"])+(-1.0)) /2.0), data["NAME_GOODS_CATEGORY_Insurance"])) *(data["AMT_CREDIT_y"])))
v["i245"] = np.tanh(((( data["cnt_FLAG_DOCUMENT_10"])+(np.minimum(((np.maximum(((data["AMT_CREDIT_y"])) ,(( data["CNT_PAYMENT"]))))),(((((data["cnt_FLAG_DOCUMENT_10"])>(((((2.70514798164367676)) >(data["AMT_CREDIT_y"])) *1.))) *1.))))))/2.0))
v["i246"] = np.tanh(((((((( np.tanh(( data["cnt_FLAG_DOCUMENT_3"])))+(np.minimum(((((( data["FLAG_DOCUMENT_3"])<(((( data["cc_bal_SK_DPD_DEF"])+(data["cnt_FLAG_DOCUMENT_3"])) /2.0)))*1.))) ,(((-1.0*(( data["CNT_INSTALMENT"])))))))) /2.0)) / 2.0)) / 2.0))
v["i247"] = np.tanh(np.maximum(((data["cnt_FLAG_DOCUMENT_5"])) ,(((( data["cc_bal_SK_DPD_DEF"])+(((((((( data["cnt_FLAG_DOCUMENT_5"])/ 2.0)) / 2.0)) <(data["cc_bal_SK_DPD_DEF"])) *1.)))))))
v["i248"] = np.tanh(((((( data["cc_bal_cc_bal_status__Refused"])* 2.0)) +(((((data["NAME_SELLER_INDUSTRY_Construction"])*(( 4.0)))) *(( -1.0*(((((((data["NAME_SELLER_INDUSTRY_Construction"])/ 2.0)) >(((( 7.86149215698242188)) / 2.0)))*1.))))))))/2.0))
v["i249"] = np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])*(((((data["cc_bal_SK_DPD_DEF"])*(data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])))-(( -1.0*(( data["NAME_GOODS_CATEGORY_Fitness"]))))))))
v["i250"] = np.tanh(((((((data["FLAG_DOCUMENT_17"])* 2.0)) *(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))-(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])-(data["NAME_GOODS_CATEGORY_Weapon"])))))))
v["i251"] = np.tanh(np.tanh(( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["avg_buro_buro_bal_status_2"],(-1.0*(((((((data["avg_buro_buro_bal_status_2"])+(data["cc_bal_SK_DPD_DEF"])))>(data["cnt_FLAG_DOCUMENT_10"])) *1.))))))))
v["i252"] = np.tanh(((((((10.22499179840087891)) <(data["NONLIVINGAPARTMENTS_MODE"])) *1.))-(((( data["CHANNEL_TYPE_Car_dealer"])+(((data["YEARS_BEGINEXPLUATATION_MODE"])* 2.0)))/2.0))))
v["i253"] = np.tanh(np.where(data["te_WALLSMATERIAL_MODE"]>0, data["YEARS_BUILD_AVG"], np.where(data["cnt_EMERGENCYSTATE_MODE"]>0,(( 0.0)-(data["NAME_GOODS_CATEGORY_Direct_Sales"])) , data["YEARS_BUILD_MEDI"])))
v["i254"] = np.tanh(( -1.0*(( np.where(data["cc_bal_SK_DPD_DEF"]>0, data["NAME_GOODS_CATEGORY_Computers"],(((np.maximum(((-2.0)) ,(((1.0)))))<(( -1.0*(((((-1.0*(( data["NAME_GOODS_CATEGORY_Computers"])))) +(2.0)))))))*1.))))))
v["i255"] = np.tanh(((np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["avg_buro_buro_bal_status_5"],(((( data["DAYS_LAST_DUE_1ST_VERSION"])*(data["cc_bal_SK_DPD_DEF"])))*(data["DAYS_LAST_DUE_1ST_VERSION"])))) * 2.0))
v["i256"] = np.tanh(((( np.minimum(((((np.tanh(( np.minimum(((data["NFLAG_INSURED_ON_APPROVAL"])) ,(((12.13233852386474609)))))))+(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) ,(( data["avg_buro_buro_bal_status_5"])))) >(np.where(data["avg_buro_buro_bal_status_5"]>0, data["cnt_FLAG_DOCUMENT_10"], data["cc_bal_SK_DPD_DEF"])))*1.))
v["i257"] = np.tanh(((data["NFLAG_INSURED_ON_APPROVAL"])*(((((((( -1.0*(( data["inst_SK_ID_PREV"])))) *(data["SK_ID_PREV_y"])))/ 2.0)) / 2.0))))
v["i258"] = np.tanh(np.minimum(((((((((( data["cc_bal_SK_DPD_DEF"])+(data["SK_ID_PREV_x"])))-(((((np.tanh(( data["te_FLAG_EMAIL"])))*(2.0)))/ 2.0)))) >(2.0)) *1.))) ,(((0.31483063101768494)))))
v["i259"] = np.tanh(( -1.0*(( np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((((( 6.30967998504638672)) +(((( 7.0)) -(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((( data["FLAG_DOCUMENT_10"])>(( -1.0*(( 0.0)))))*1.))) /2.0)))))/2.0))))))))
v["i260"] = np.tanh(np.minimum(((((((((-1.0*(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) / 2.0)) <(0.0)) *1.))) ,(((((((((((0.0)>(data["cc_bal_SK_DPD_DEF"])) *1.))*(data["cnt_EMERGENCYSTATE_MODE"])))/ 2.0)) * 2.0)))))
v["i261"] = np.tanh(((((((((data["NAME_GOODS_CATEGORY_Insurance"])<(data["NAME_PORTFOLIO_Cards"])) *1.))/ 2.0)) +(((((( 8.0)) / 2.0)) *(((( 3.0)<(data["NAME_PORTFOLIO_Cards"])) *1.))))) /2.0))
v["i262"] = np.tanh(np.where(data["FLAG_LAST_APPL_PER_CONTRACT_N"]>0, np.where(((( data["DAYS_LAST_DUE_1ST_VERSION"])<(((np.tanh(( np.tanh(( data["FLAG_LAST_APPL_PER_CONTRACT_N"])))))/ 2.0)))*1.) >0, data["DAYS_LAST_DUE_1ST_VERSION"], -3.0),(-1.0*(( data["NAME_GOODS_CATEGORY_Education"])))))
v["i263"] = np.tanh(np.minimum(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((((((data["ty__Another_type_of_loan"])+(data["DAYS_LAST_DUE_1ST_VERSION"])))-(data["cc_bal_cc_bal_status__Refused"])))+(data["DAYS_LAST_DUE_1ST_VERSION"])))))* 2.0))),(((((10.71418285369873047)) -(data["ty__Another_type_of_loan"]))))))
v["i264"] = np.tanh(((((((( -1.0)* 2.0)) *(data["NAME_GOODS_CATEGORY_Direct_Sales"])))>(np.maximum(((data["DAYS_FIRST_DRAWING"])) ,(((( data["CNT_INSTALMENT_FUTURE"])*(np.minimum(((3.0)) ,(( data["inst_AMT_PAYMENT"])))))))))) *1.))
v["i265"] = np.tanh(np.minimum(((((( -2.0)>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))) ,(((((((((data["NAME_INCOME_TYPE"])+(((-1.0)+(data["DAYS_BIRTH"])))))+(2.0)))+(data["AMT_CREDIT_x"])) /2.0)))))
v["i266"] = np.tanh(((data["DAYS_BIRTH"])*(np.minimum(((np.minimum(((data["FLAG_DOCUMENT_10"])) ,(((-1.0*(( np.maximum(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) ,(( np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(( data["DAYS_BIRTH"])))))))))))))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"]))))))
v["i267"] = np.tanh(((((( data["AMT_CREDIT_x"])-(((( -3.0)+(((data["cnt_REG_CITY_NOT_LIVE_CITY"])* 2.0)))/2.0)))) >(( 4.65822219848632812)))*1.))
v["i268"] = np.tanh(((np.where(data["te_REG_CITY_NOT_WORK_CITY"]>0, data["FLAG_DOCUMENT_10"],(((data["te_FLAG_WORK_PHONE"])>(((-3.0)*(((( data["cnt_FLAG_DOCUMENT_10"])+(data["OCCUPATION_TYPE"])) /2.0)))))*1.))) / 2.0))
v["i269"] = np.tanh(np.tanh(((-1.0*(( np.tanh(((((((np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["AMT_REQ_CREDIT_BUREAU_MON"], 2.0)) <(data["cnt_DAYS_BIRTH"])) *1.))*(((((data["cnt_DAYS_BIRTH"])* 2.0)) / 2.0)))))))))))
v["i270"] = np.tanh(np.where(((((1.0)-(data["AMT_CREDIT_SUM_DEBT"])))+(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])) >0,(((((( data["AMT_CREDIT_SUM_DEBT"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))* 2.0),(( data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))
v["i271"] = np.tanh(((( np.minimum(((((((data["ca__Closed"])+(data["ca__Active"])))/ 2.0))),(((((( data["ca__Active"])/ 2.0)) +(data["AMT_CREDIT_SUM"])))))) <(-1.0)) *1.))
v["i272"] = np.tanh(((( data["AMT_CREDIT_SUM"])<(((((( data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)) +(np.tanh(((( np.where(np.tanh(( 2.0)) >0, data["NAME_GOODS_CATEGORY_Insurance"], data["cnt_FLAG_DOCUMENT_10"])) -(np.tanh(( 3.0)))))))) /2.0)))*1.))
v["i273"] = np.tanh(np.where(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["SK_ID_BUREAU"], data["AMT_CREDIT_SUM"])>0,(( data["SK_ID_BUREAU"])+(((( data["AMT_CREDIT_SUM"])<(data["SK_ID_BUREAU"])) *1.))) , data["cnt_FLAG_DOCUMENT_10"]))
v["i274"] = np.tanh(np.minimum(((np.minimum(((data["CODE_REJECT_REASON_VERIF"])) ,(((((11.77319049835205078)) -(data["CODE_REJECT_REASON_VERIF"]))))))),(((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])*(((data["inst_NUM_INSTALMENT_NUMBER"])* 2.0)))))))
v["i275"] = np.tanh(((data["OWN_CAR_AGE"])*(np.maximum(((data["inst_AMT_PAYMENT"])) ,(((( np.where(( -1.0*(( data["inst_AMT_PAYMENT"])))>0, -3.0,(((5.90897226333618164)) * 2.0)))*(np.tanh(((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])/ 2.0)))))))))))
v["i276"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["AMT_REQ_CREDIT_BUREAU_MON"],(( data["inst_AMT_PAYMENT"])*(((( np.tanh(( data["AMT_REQ_CREDIT_BUREAU_MON"])))+(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["inst_AMT_PAYMENT"])))/ 2.0)))/2.0)))))
v["i277"] = np.tanh(((2.0)*(((np.where(( -1.0*(( data["cc_bal_SK_DPD_DEF"])))>0, data["FLAG_DOCUMENT_10"], data["inst_NUM_INSTALMENT_NUMBER"])) *(np.maximum(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) ,(( np.where(3.0>0, data["inst_NUM_INSTALMENT_NUMBER"],(1.0))))))))))
v["i278"] = np.tanh(((((((3.0)) <(data["inst_SK_ID_PREV"])) *1.))-(((np.maximum(((np.maximum(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) ,(( data["FLAG_DOCUMENT_10"]))))),(( np.tanh(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))) / 2.0))))
v["i279"] = np.tanh(((np.minimum(((data["cnt_FLAG_DOCUMENT_10"])) ,(((( 1.0)-(((((((( 0.0)-(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))+(data["cc_bal_cc_bal_status__Sent_proposal"])) /2.0)) *(( 8.0)))))))))-(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))
v["i280"] = np.tanh(np.maximum(((np.where(((( 3.0)>(((data["NAME_YIELD_GROUP_XNA"])* 2.0)))*1.) >0,(((((data["NAME_YIELD_GROUP_XNA"])-(( -1.0*(( 0.0)))))) >(( 5.0)))*1.) , data["NAME_PORTFOLIO_Cards"]))),(( -1.0))))
v["i281"] = np.tanh(((np.where(((( data["NAME_CONTRACT_TYPE_Cash_loans"])<(data["CODE_REJECT_REASON_SCOFR"])) *1.) >0,(-1.0*(((( data["avg_buro_buro_bal_status_5"])/ 2.0)))) ,(( data["avg_buro_buro_bal_status_5"])* 2.0)))*(-2.0)))
v["i282"] = np.tanh(((data["cc_bal_cc_bal_status__Refused"])*(((((((((( 1.0)<(data["PRODUCT_COMBINATION_Card_Street"])) *1.))*(( 6.0)))) *(( 6.0)))) -(np.tanh(((( data["cc_bal_cc_bal_status__Refused"])-(data["FLAG_DOCUMENT_17"])))))))))
v["i283"] = np.tanh(((np.minimum(((data["DAYS_FIRST_DRAWING"])) ,(((((( data["AMT_REQ_CREDIT_BUREAU_MON"])*(np.where(data["NAME_CONTRACT_STATUS_Approved"]>0, data["DAYS_FIRST_DRAWING"],(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["AMT_REQ_CREDIT_BUREAU_MON"])))/ 2.0)))))* 2.0)))))*(data["AMT_REQ_CREDIT_BUREAU_MON"])))
v["i284"] = np.tanh(((((((data["cnt_FLAG_DOCUMENT_10"])-(( -1.0*(( np.where(data["cc_bal_SK_DPD_DEF"]>0, -1.0, data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))+(np.where(data["cc_bal_SK_DPD_DEF"]>0, -1.0, data["cnt_FLAG_DOCUMENT_10"])))) -(data["FLAG_DOCUMENT_17"])))
v["i285"] = np.tanh(((((((-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))) <(((data["cc_bal_SK_DPD_DEF"])/ 2.0)))*1.))*(((((((( data["cc_bal_SK_DPD_DEF"])+(((1.0)/ 2.0)))/2.0)) -(data["cc_bal_SK_ID_PREV"])))-(data["cc_bal_SK_ID_PREV"])))))
v["i286"] = np.tanh(((( 11.08083438873291016)) *(((data["cc_bal_SK_DPD_DEF"])*(np.minimum(((np.where(data["cc_bal_MONTHS_BALANCE"]>0,(11.08083438873291016), np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])) ,(( -3.0)))))) ,(( np.tanh(( data["cc_bal_MONTHS_BALANCE"]))))))))))
v["i287"] = np.tanh(((((data["cc_bal_SK_DPD"])*(((((((data["AMT_GOODS_PRICE_x"])*(( 3.0)))) * 2.0)) *(((((((((data["cc_bal_AMT_PAYMENT_CURRENT"])<(0.0)) *1.))>(data["cc_bal_AMT_PAYMENT_CURRENT"])) *1.))* 2.0)))))) / 2.0))
v["i288"] = np.tanh(((((((( np.minimum(((data["AMT_CREDIT_x"])) ,(( data["cc_bal_SK_DPD_DEF"])))) +(((((((((((data["cc_bal_SK_DPD_DEF"])/ 2.0)) +(data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) /2.0)) +(data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) /2.0)) -(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])))) /2.0)) / 2.0)) / 2.0))
v["i289"] = np.tanh(((((( data["cnt_FLAG_DOCUMENT_10"])+(((((((8.0)) <(((((( data["cc_bal_SK_DPD_DEF"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)) / 2.0)))*1.))*(((( 9.73687171936035156)) * 2.0)))))/2.0)) +(data["cc_bal_cc_bal_status__Refused"])))
v["i290"] = np.tanh(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])>(np.where(data["PRODUCT_COMBINATION_POS_industry_without_interest"]>0, data["cc_bal_AMT_PAYMENT_CURRENT"],(((((3.0)-(data["cc_bal_AMT_PAYMENT_CURRENT"])))+(( 3.74398207664489746)))/2.0)))) *1.))
v["i291"] = np.tanh(((( np.minimum(((((((( 10.36883640289306641)) -(((data["PRODUCT_COMBINATION_POS_industry_without_interest"])* 2.0)))) * 2.0))),(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) +(((np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["avg_buro_buro_bal_status_5"],(-1.0*(( data["avg_buro_buro_bal_status_5"])))))/ 2.0)))/2.0))
v["i292"] = np.tanh(((np.where(((data["avg_buro_buro_bal_status_3"])*(((data["cnt_FLAG_DOCUMENT_15"])-(data["NAME_GOODS_CATEGORY_Other"])))) >0, data["avg_buro_buro_bal_status_5"], np.minimum(((((data["cnt_FLAG_DOCUMENT_15"])/ 2.0))),(((( data["cnt_FLAG_DOCUMENT_15"])-(data["NAME_GOODS_CATEGORY_Other"])))))))* 2.0))
v["i293"] = np.tanh(((data["NAME_GOODS_CATEGORY_Other"])*(((np.tanh(( np.where(-3.0>0,(((14.68852424621582031)) / 2.0),(( data["NAME_GOODS_CATEGORY_Other"])-(((( 14.23720550537109375)) / 2.0)))))))/ 2.0))))
v["i294"] = np.tanh(np.where(((( 6.69561433792114258)) -(data["NAME_GOODS_CATEGORY_Other"])) >0,(((((( 7.0)) <(data["NAME_GOODS_CATEGORY_Other"])) *1.))-(( -1.0*(((-1.0*(( np.maximum(((data["NAME_SELLER_INDUSTRY_MLM_partners"])) ,(( data["NAME_GOODS_CATEGORY_Weapon"]))))))))))), data["NAME_GOODS_CATEGORY_Other"]))
v["i295"] = np.tanh(np.minimum(((((((np.where(data["NAME_GOODS_CATEGORY_Auto_Accessories"]>0,(-1.0*(( 3.0))), np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])) ,(( data["NAME_GOODS_CATEGORY_Auto_Accessories"])))))/ 2.0)) *(data["DAYS_LAST_DUE_1ST_VERSION"])))) ,(( data["cnt_FLAG_DOCUMENT_4"]))))
v["i296"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["cc_bal_CNT_DRAWINGS_POS_CURRENT"],(((((np.where(np.where(( 7.0)>0, data["DAYS_FIRST_DUE"], data["DAYS_FIRST_DUE"])>0, data["NAME_GOODS_CATEGORY_Insurance"], -1.0)) >(((data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])* 2.0)))*1.))* 2.0)))
v["i297"] = np.tanh(((( 7.0)) *(np.tanh(((( np.where(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"]>0,(( data["AMT_CREDIT_MAX_OVERDUE"])/ 2.0),(-1.0*(((( np.maximum(((data["AMT_CREDIT_MAX_OVERDUE"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])))) * 2.0)))))) * 2.0))))))
v["i298"] = np.tanh(((data["AMT_GOODS_PRICE_x"])*(np.minimum(((data["NAME_GOODS_CATEGORY_Fitness"])) ,(( np.minimum(((data["FLAG_DOCUMENT_10"])) ,(((((((5.34786462783813477)) -(data["NAME_GOODS_CATEGORY_Fitness"])))/ 2.0))))))))))
v["i299"] = np.tanh(np.where(np.maximum(((((data["DAYS_ENDDATE_FACT"])*(((((data["DAYS_ENDDATE_FACT"])*(( 4.0)))) / 2.0))))),(((( data["AMT_CREDIT_x"])+(-3.0)))))>0, data["FLAG_DOCUMENT_10"],(( data["cc_bal_CNT_DRAWINGS_CURRENT"])* 2.0)))
v["i300"] = np.tanh(((( data["AMT_CREDIT_x"])>(((3.0)-(((data["DAYS_FIRST_DUE"])-(np.maximum(((( -1.0*(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"]))))),(( np.minimum(((-3.0)) ,(((-1.0*(( data["cnt_FLAG_DOCUMENT_10"])))))))))))))))*1.))
v["i301"] = np.tanh(((((((3.0)+(((( 1.0)<(((data["NAME_EDUCATION_TYPE"])/ 2.0)))*1.))) /2.0)) <(( -1.0*(( np.minimum(((data["cc_bal_AMT_DRAWINGS_CURRENT"])) ,(((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])* 2.0)))))))))*1.))
v["i302"] = np.tanh(np.minimum(((((((np.tanh(( np.minimum(((data["NAME_PAYMENT_TYPE_Cash_through_the_bank"])) ,(( 0.0)))))) / 2.0)) / 2.0))),(( np.where(data["NAME_CONTRACT_TYPE_Revolving_loans"]>0, data["NAME_PAYMENT_TYPE_XNA"], 0.0)))))
v["i303"] = np.tanh(np.tanh(( np.minimum(((((data["PRODUCT_COMBINATION_Cash"])*(((data["SK_ID_PREV_x"])-(data["AMT_GOODS_PRICE_x"])))))) ,(((((((( 1.0)>(( -1.0*(( data["PRODUCT_COMBINATION_Cash"])))))*1.))+(data["SK_ID_PREV_x"])) /2.0)))))))
v["i304"] = np.tanh(( -1.0*(((((((((3.0)-(data["AMT_GOODS_PRICE_x"])))/ 2.0)) >(((3.0)-(np.maximum(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) ,(( data["AMT_GOODS_PRICE_x"])))))))*1.)))))
v["i305"] = np.tanh(np.where(data["cc_bal_AMT_PAYMENT_CURRENT"]>0, data["DAYS_ENDDATE_FACT"],(((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])*(((((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])<(data["DAYS_ENDDATE_FACT"])) *1.))/ 2.0)))) *(( -1.0*(( data["cc_bal_AMT_PAYMENT_CURRENT"])))))))
v["i306"] = np.tanh(((((2.0)* 2.0)) *(np.where(((data["NAME_TYPE_SUITE_Unaccompanied"])/ 2.0)>0, data["NAME_CASH_LOAN_PURPOSE_Furniture"],(( data["cnt_FLAG_DOCUMENT_10"])* 2.0)))))
v["i307"] = np.tanh(((np.tanh(((((( data["NAME_CONTRACT_STATUS_Approved"])*(((( data["DAYS_LAST_DUE_1ST_VERSION"])>(((( -1.0*(( 1.0)))) / 2.0)))*1.))))/ 2.0)))) -(((data["NAME_CONTRACT_STATUS_Approved"])*(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))
v["i308"] = np.tanh(np.where(data["SK_ID_PREV_x"]>0,(((((( data["cc_bal_AMT_RECIVABLE"])<(data["NAME_GOODS_CATEGORY_Fitness"])) *1.))+(data["NAME_GOODS_CATEGORY_Fitness"])) /2.0), data["cc_bal_AMT_RECIVABLE"]))
v["i309"] = np.tanh(((((8.43800640106201172)) <(np.where(( 5.17690801620483398)>0,(((((11.66382503509521484)) / 2.0)) -(( -1.0*(((-1.0*(((( data["DAYS_LAST_DUE_1ST_VERSION"])-(data["CODE_REJECT_REASON_LIMIT"])))))))))) , data["cc_bal_SK_DPD"])))*1.))
v["i310"] = np.tanh(((data["cc_bal_SK_DPD"])*(( -1.0*(( np.minimum(((data["DAYS_LAST_DUE_1ST_VERSION"])) ,(( np.tanh(((( np.minimum(((2.0)) ,(( data["cc_bal_SK_DPD"])))) -(data["DAYS_LAST_DUE_1ST_VERSION"])))))))))))))
v["i311"] = np.tanh(((((((np.tanh(( 1.0)))+(((( data["FLAG_DOCUMENT_16"])+(2.0)) /2.0)))) *(( 5.0)))) *(((data["NAME_GOODS_CATEGORY_Insurance"])*(((data["FLAG_DOCUMENT_16"])-(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])))))))
v["i312"] = np.tanh(((((data["NAME_SELLER_INDUSTRY_Tourism"])*(np.where(((( data["NAME_SELLER_INDUSTRY_Tourism"])<(data["NAME_TYPE_SUITE_Group_of_people"])) *1.) >0,(( data["NAME_TYPE_SUITE_Group_of_people"])* 2.0), data["PRODUCT_COMBINATION_POS_mobile_without_interest"])))) * 2.0))
v["i313"] = np.tanh(((((( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, np.minimum(((data["CNT_INSTALMENT"])) ,(((( data["NAME_GOODS_CATEGORY_Insurance"])*(data["FLAG_DOCUMENT_4"]))))), data["NAME_GOODS_CATEGORY_Education"])) <(np.minimum(((-1.0)) ,(( data["NAME_GOODS_CATEGORY_Education"])))))*1.))* 2.0))
v["i314"] = np.tanh(((((((np.where(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])/ 2.0)>0, data["NAME_CASH_LOAN_PURPOSE_Furniture"], data["CNT_INSTALMENT"])) *(data["NAME_GOODS_CATEGORY_Education"])))-(((( data["FLAG_DOCUMENT_4"])+(data["FLAG_DOCUMENT_10"])) /2.0)))) * 2.0))
v["i315"] = np.tanh(np.where(((data["PRODUCT_COMBINATION_Cash"])-(data["NAME_CASH_LOAN_PURPOSE_Furniture"])) >0, np.minimum(((np.tanh(( data["cnt_FLAG_DOCUMENT_10"])))) ,(((( data["CNT_INSTALMENT_FUTURE"])/ 2.0)))) ,(((-1.0*(((((data["NAME_GOODS_CATEGORY_Fitness"])>(1.0)) *1.))))) / 2.0)))
v["i316"] = np.tanh(((((np.tanh(( np.where(data["NAME_YIELD_GROUP_XNA"]>0, data["PRODUCT_COMBINATION_Cash"], data["NAME_CONTRACT_TYPE_Cash_loans"])))) / 2.0)) / 2.0))
v["i317"] = np.tanh(np.minimum(((( -1.0*(((((np.where(-1.0>0, 2.0,(( data["NAME_SELLER_INDUSTRY_XNA"])+(data["NAME_PORTFOLIO_Cash"])))) >(( 3.0)))*1.)))))),(( data["NAME_GOODS_CATEGORY_Insurance"]))))
v["i318"] = np.tanh(np.where(data["CHANNEL_TYPE_AP___Cash_loan_"]>0,(((((data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0)) >(((np.tanh(( np.minimum(((0.0)) ,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))) +(2.0)))) *1.) ,(-1.0*(((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0))))))
v["i319"] = np.tanh(np.maximum(((((( np.where(np.where(data["DAYS_LAST_DUE_1ST_VERSION"]>0, data["CHANNEL_TYPE_Stone"], data["cnt_FLAG_DOCUMENT_10"])>0, 3.0, data["CNT_INSTALMENT"])) <(((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))*1.))) ,(((-1.0*(( 0.0)))))))
v["i320"] = np.tanh(( -1.0*(((((np.where(((data["NAME_PORTFOLIO_Cards"])+(data["DAYS_FIRST_DRAWING"])) >0, data["NAME_YIELD_GROUP_XNA"],(-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))>(( 2.0)))*1.)))))
v["i321"] = np.tanh(np.tanh(( np.where(data["DAYS_LAST_DUE_1ST_VERSION"]>0,(((( data["EXT_SOURCE_3"])* 2.0)) -(1.0)) , data["NAME_GOODS_CATEGORY_Insurance"]))))
v["i322"] = np.tanh(((((np.tanh(((((((( data["ca__Active"])* 2.0)) *(( 4.0)))) * 2.0)))) / 2.0)) / 2.0))
v["i323"] = np.tanh(((( data["DAYS_CREDIT_ENDDATE"])<(( -1.0*(((((((data["NAME_GOODS_CATEGORY_Fitness"])>(data["DAYS_CREDIT_ENDDATE"])) *1.))/ 2.0)))))) *1.))
v["i324"] = np.tanh(((((((( np.where(((( 1.0)+(data["CNT_INSTALMENT_FUTURE"])) /2.0)>0, data["DAYS_CREDIT"], -2.0)) +(data["DAYS_CREDIT"])))*(data["SK_ID_BUREAU"])))+(data["DAYS_CREDIT"])) /2.0))
v["i325"] = np.tanh(((data["SK_ID_BUREAU"])*(((((((( data["CNT_INSTALMENT_FUTURE"])* 2.0)) <(data["SK_ID_BUREAU"])) *1.))*(data["AMT_CREDIT_x"])))))
v["i326"] = np.tanh(((((( np.where(data["SK_ID_BUREAU"]>0, data["CNT_INSTALMENT_FUTURE"], data["FLAG_DOCUMENT_2"])) +(np.where(data["SK_ID_BUREAU"]>0, data["cnt_DAYS_ID_PUBLISH"], np.tanh(((((1.0)>(( 11.27696132659912109)))*1.))))))/2.0)) / 2.0))
v["i327"] = np.tanh(np.minimum(((0.0)) ,(((( data["DAYS_CREDIT"])*(np.maximum(((data["CNT_INSTALMENT"])) ,(( np.maximum(((data["inst_NUM_INSTALMENT_VERSION"])) ,(( np.tanh(((((-2.0)>(0.0)) *1.)))))))))))))))
v["i328"] = np.tanh(np.tanh(((((np.tanh(( np.tanh(((-1.0*(( np.maximum(((-3.0)) ,(( data["ca__Closed"])))))))))))+(((data["ca__Closed"])*(( -1.0*(( data["SK_ID_BUREAU"])))))))/2.0))))
v["i329"] = np.tanh(np.maximum(((((((((np.where(data["DAYS_ENDDATE_FACT"]>0, -1.0, data["SK_ID_BUREAU"])) +(1.0)))*(data["AMT_CREDIT_y"])))*(data["CNT_INSTALMENT_FUTURE"])))) ,(( 0.0))))
v["i330"] = np.tanh(((((((data["inst_AMT_PAYMENT"])*(((((data["SK_ID_BUREAU"])/ 2.0)) *(data["inst_AMT_PAYMENT"])))))+(((( 0.0)<(data["PRODUCT_COMBINATION_POS_household_without_interest"])) *1.))))/ 2.0))
v["i331"] = np.tanh(np.minimum(((((( data["AMT_CREDIT_SUM_DEBT"])+(np.maximum(((data["EXT_SOURCE_3"])) ,(( data["AMT_CREDIT_SUM_DEBT"])))))/2.0))),(((((0.0)) -(np.where(data["AMT_CREDIT_SUM_DEBT"]>0, data["EXT_SOURCE_3"], data["NAME_GOODS_CATEGORY_Insurance"])))))))
v["i332"] = np.tanh(( -1.0*(((((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))+(((( np.tanh(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["EXT_SOURCE_3"])/ 2.0)))))) <(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))))*(data["EXT_SOURCE_3"]))))))
v["i333"] = np.tanh(((((np.minimum(((((data["DAYS_LAST_DUE"])*(data["CNT_INSTALMENT"])))) ,(((((10.0)) *(1.0)))))) / 2.0)) *(data["inst_AMT_PAYMENT"])))
v["i334"] = np.tanh(((data["EXT_SOURCE_3"])*(((((( data["AMT_GOODS_PRICE_x"])<(((np.tanh(((( data["AMT_GOODS_PRICE_x"])* 2.0)))) * 2.0)))*1.))/ 2.0))))
v["i335"] = np.tanh(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((data["DAYS_CREDIT_UPDATE"])<(-3.0)) *1.))))) *(data["DAYS_CREDIT"])))
v["i336"] = np.tanh(np.minimum(((((np.minimum(((( -1.0*(( data["CHANNEL_TYPE_Stone"]))))),(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) *(((data["inst_AMT_PAYMENT"])/ 2.0))))),(((((( -1.0*(( data["NAME_YIELD_GROUP_low_action"])))) +(2.0)) /2.0)))))
v["i337"] = np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Repairs"])*(((((data["NAME_CASH_LOAN_PURPOSE_Repairs"])*(((((( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((data["EXT_SOURCE_3"])+(1.0)) /2.0)))))+(data["inst_DAYS_INSTALMENT"])) /2.0)) / 2.0)))) / 2.0))))
v["i338"] = np.tanh(np.where(np.maximum(((data["te_DAYS_ID_PUBLISH"])) ,(( np.tanh(( data["te_DAYS_ID_PUBLISH"])))))>0,(((((data["te_DAYS_ID_PUBLISH"])>(3.0)) *1.))*(data["te_DAYS_ID_PUBLISH"])) , data["AMT_CREDIT_x"]))
v["i339"] = np.tanh(((data["NAME_GOODS_CATEGORY_Medicine"])+(((( data["NAME_GOODS_CATEGORY_Medicine"])>(((((( data["EXT_SOURCE_3"])+(2.0)) /2.0)) +(( -1.0*(( np.tanh(( data["NAME_GOODS_CATEGORY_Medicine"])))))))))*1.))))
v["i340"] = np.tanh(np.where(( -1.0*(((((((((( 0.41248092055320740)) / 2.0)) +(data["AMT_GOODS_PRICE_x"])) /2.0)) *(data["AMT_GOODS_PRICE_x"])))))>0, -2.0,(((( data["cnt_FLAG_DOCUMENT_10"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))* 2.0)))
v["i341"] = np.tanh(((((data["inst_AMT_PAYMENT"])*(((np.where(0.0>0,(-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"]))), np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( -2.0)+(((data["inst_AMT_PAYMENT"])/ 2.0)))))))) * 2.0)))) * 2.0))
v["i342"] = np.tanh(((np.where(data["CNT_INSTALMENT_FUTURE"]>0,(((-1.0*(( 2.0)))) +(((data["CODE_REJECT_REASON_VERIF"])-(((data["CODE_REJECT_REASON_VERIF"])* 2.0))))), np.tanh(( data["inst_AMT_PAYMENT"])))) *(data["CODE_REJECT_REASON_VERIF"])))
v["i343"] = np.tanh(np.where(((( data["NAME_CASH_LOAN_PURPOSE_Repairs"])<(((data["AMT_DOWN_PAYMENT"])* 2.0)))*1.) >0, data["NAME_CASH_LOAN_PURPOSE_Repairs"], np.tanh(((-1.0*(((((((( data["cc_bal_AMT_PAYMENT_CURRENT"])+(( 5.25137329101562500)))/2.0)) <(data["NAME_CASH_LOAN_PURPOSE_Repairs"])) *1.))))))))
v["i344"] = np.tanh(((((((data["cc_bal_AMT_PAYMENT_CURRENT"])+(-1.0)) /2.0)) >(((( np.maximum(((-1.0)) ,(((( data["inst_AMT_PAYMENT"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) +(data["AMT_DOWN_PAYMENT"])) /2.0)))*1.))
v["i345"] = np.tanh(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((((np.tanh(( np.where(((( data["AMT_GOODS_PRICE_x"])>(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) *1.) >0, data["inst_AMT_PAYMENT"], -2.0)))) * 2.0)) * 2.0))))
v["i346"] = np.tanh(((np.maximum(((((data["cc_bal_AMT_DRAWINGS_CURRENT"])-(-1.0)))) ,(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) *(np.tanh(((-1.0*(( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])-(data["cc_bal_AMT_DRAWINGS_CURRENT"])))))))))))))
v["i347"] = np.tanh(((((data["inst_AMT_INSTALMENT"])* 2.0)) *(((((( 0.0)/ 2.0)) >(((((( data["AMT_CREDIT_x"])+(1.0)))+(((data["inst_AMT_INSTALMENT"])/ 2.0)))/2.0)))*1.))))
v["i348"] = np.tanh(((np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0,(((data["inst_AMT_PAYMENT"])<(data["AMT_GOODS_PRICE_x"])) *1.) , data["NAME_GOODS_CATEGORY_Direct_Sales"])) *(((data["inst_AMT_PAYMENT"])+(((-2.0)* 2.0))))))
v["i349"] = np.tanh(((data["AMT_GOODS_PRICE_x"])*(np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( data["NAME_GOODS_CATEGORY_Insurance"])-(((( data["cu__currency_3"])>(( -1.0*(( np.tanh(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))*1.)))))))))
v["i350"] = np.tanh(np.maximum(((((((data["AMT_DOWN_PAYMENT"])*(data["cu__currency_3"])))*(-3.0)))) ,(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])>(np.maximum(((( 14.77923965454101562))),(( data["AMT_DOWN_PAYMENT"])))))*1.)))))
v["i351"] = np.tanh(((((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))* 2.0)) <(((((((-1.0*(( 2.0)))) +(((data["AMT_DOWN_PAYMENT"])/ 2.0)))/2.0)) / 2.0)))*1.))
v["i352"] = np.tanh(((((( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])-(((data["CHANNEL_TYPE_Car_dealer"])/ 2.0)))) +(((((( data["CHANNEL_TYPE_Car_dealer"])-(data["NAME_GOODS_CATEGORY_Insurance"])))>(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) *1.))) /2.0))
v["i353"] = np.tanh(( -1.0*(( np.maximum(((((np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["NAME_GOODS_CATEGORY_Fitness"], data["NAME_GOODS_CATEGORY_Weapon"])) +(np.tanh(( data["FLAG_DOCUMENT_10"])))))) ,(((((((data["NAME_GOODS_CATEGORY_Fitness"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))<(-1.0)) *1.))))))))
v["i354"] = np.tanh(((data["cnt_FLAG_DOCUMENT_9"])*(((( data["cnt_FLAG_DOCUMENT_4"])+(np.where(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( data["cnt_FLAG_DOCUMENT_9"])))>0, data["NAME_GOODS_CATEGORY_Direct_Sales"], -3.0)))/2.0))))
v["i355"] = np.tanh(np.minimum(((data["FLAG_DOCUMENT_17"])) ,(((( np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((data["YEARS_BUILD_AVG"])+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])) /2.0)))))+(( -1.0*(( np.where(( -1.0*(( data["te_FLAG_DOCUMENT_8"])))>0, data["YEARS_BUILD_AVG"], data["FLAG_DOCUMENT_17"]))))))))))
v["i356"] = np.tanh(np.where(( 10.90770244598388672)>0,(((((( 2.0)) <(data["HOUSETYPE_MODE"])) *1.))*(((data["nans"])*(((-3.0)* 2.0))))),(-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))
v["i357"] = np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((((data["cnt_WALLSMATERIAL_MODE"])-(np.minimum(((3.0)) ,(((-1.0*(((( data["te_FONDKAPREMONT_MODE"])* 2.0)))))))))) -(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(1.0)) *1.))))))
v["i358"] = np.tanh(np.tanh(((((np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["te_FLAG_DOCUMENT_8"])))) <(((data["inst_AMT_PAYMENT"])-(((((((( 3.0)+(data["inst_AMT_PAYMENT"])))+(data["cnt_HOUSETYPE_MODE"])) /2.0)) * 2.0)))))*1.))))
v["i359"] = np.tanh(np.minimum(((((((data["cnt_FLAG_DOCUMENT_8"])*(((1.0)-(np.maximum(((data["AMT_GOODS_PRICE_x"])) ,(( np.maximum(((data["FLAG_DOCUMENT_8"])) ,(( 0.0)))))))))))/ 2.0))),(((( data["cnt_FLAG_DOCUMENT_8"])*(data["cnt_HOUSETYPE_MODE"]))))))
v["i360"] = np.tanh(((((np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["te_REG_REGION_NOT_LIVE_REGION"], np.maximum(((data["CODE_REJECT_REASON_SCOFR"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))))*(data["te_REG_REGION_NOT_LIVE_REGION"])))* 2.0))
v["i361"] = np.tanh(np.where(data["AMT_CREDIT_MAX_OVERDUE"]>0, data["AMT_CREDIT_MAX_OVERDUE"],(((((data["AMT_CREDIT_MAX_OVERDUE"])* 2.0)) >(data["NAME_GOODS_CATEGORY_Insurance"])) *1.)))
v["i362"] = np.tanh(((((-1.0*(((( data["te_REG_REGION_NOT_LIVE_REGION"])*(((((((3.0)*(data["te_FLAG_EMAIL"])))/ 2.0)) / 2.0)))))))+(np.where(data["te_FLAG_EMAIL"]>0, 0.0, data["AMT_CREDIT_x"])))/2.0))
v["i363"] = np.tanh(((((((( np.minimum(((-2.0)) ,(((((data["te_FLAG_EMAIL"])<(np.tanh(((7.92169857025146484)))))*1.))))) -(3.0)))>(data["te_FLAG_EMAIL"])) *1.))-(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0))))
v["i364"] = np.tanh(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( data["CNT_INSTALMENT"])*(((((( data["AMT_GOODS_PRICE_x"])*(data["cnt_DAYS_BIRTH"])))+(data["cnt_DAYS_BIRTH"])) /2.0)))))))
v["i365"] = np.tanh(((np.where(data["NAME_GOODS_CATEGORY_Education"]>0,(( data["AMT_CREDIT_x"])-(((((data["NAME_GOODS_CATEGORY_Education"])+(data["cnt_FLAG_DOCUMENT_18"])))* 2.0))),(( data["cnt_FLAG_DOCUMENT_18"])-(((data["NAME_GOODS_CATEGORY_Education"])* 2.0)))))/ 2.0))
v["i366"] = np.tanh(((data["cnt_FLAG_DOCUMENT_14"])*(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["FLAG_DOCUMENT_18"],(( data["FLAG_DOCUMENT_18"])+(((data["FLAG_DOCUMENT_14"])-(((1.0)-(((data["cnt_FLAG_DOCUMENT_18"])*(( 7.0)))))))))))))
v["i367"] = np.tanh(np.where(((( data["CNT_INSTALMENT_FUTURE"])>(np.minimum(((1.0)) ,(( 1.0)))))*1.) >0, data["nans"],(((data["cnt_FLAG_DOCUMENT_14"])+(np.tanh(((-1.0*(( data["nans"])))))))/2.0)))
v["i368"] = np.tanh(((data["DAYS_CREDIT"])*(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((((data["CNT_INSTALMENT_FUTURE"])+(((( -1.0*(((( data["te_FLAG_DOCUMENT_20"])*(data["WALLSMATERIAL_MODE"])))))) *(((data["CNT_INSTALMENT_FUTURE"])* 2.0)))))/2.0)) / 2.0)))))))
v["i369"] = np.tanh(((((( 3.0)/ 2.0)) <(((data["avg_buro_buro_bal_status_C"])-(((( np.where(data["AMT_CREDIT_y"]>0, data["te_FLAG_DOCUMENT_20"], data["avg_buro_MONTHS_BALANCE"])) +(data["WALLSMATERIAL_MODE"])) /2.0)))))*1.))
v["i370"] = np.tanh(((((data["WALLSMATERIAL_MODE"])*(((np.where(2.0>0,(( data["AMT_CREDIT_y"])* 2.0), -3.0)) *(data["NAME_GOODS_CATEGORY_Auto_Accessories"])))))-(((( data["te_FLAG_DOCUMENT_20"])>(np.tanh(( 2.0)))) *1.))))
v["i371"] = np.tanh(( -1.0*(((((( 2.71130990982055664)) <(((((( data["NAME_GOODS_CATEGORY_Auto_Accessories"])-(((( -1.0*(( 1.0)))) *(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))+(((1.0)+(data["AMT_CREDIT_y"])))) /2.0)))*1.)))))
v["i372"] = np.tanh(((((((-1.0)+(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])*(data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])))) /2.0)) <(((((data["AMT_CREDIT_y"])* 2.0)) -(((( 3.0)) * 2.0)))))*1.))
v["i373"] = np.tanh(np.minimum(((((data["AMT_GOODS_PRICE_x"])*(((data["inst_AMT_PAYMENT"])-(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(np.maximum(((data["inst_AMT_PAYMENT"])) ,(((( np.tanh(( data["CNT_INSTALMENT_FUTURE"])))/ 2.0))))))))))
v["i374"] = np.tanh(((((((data["CNT_INSTALMENT_FUTURE"])*(( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])))))) * 2.0)) +(((-2.0)*(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(((( 2.0)>(-3.0)) *1.))))))))
v["i375"] = np.tanh(((((np.maximum(((( -1.0*(( data["inst_AMT_PAYMENT"]))))),(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])))) *(data["inst_AMT_PAYMENT"])))*(data["CNT_INSTALMENT"])))
v["i376"] = np.tanh(((data["inst_AMT_INSTALMENT"])*(((((( np.where(-2.0>0,(( -1.0)*(data["inst_AMT_INSTALMENT"])) , data["CNT_INSTALMENT_FUTURE"])) <(((( data["NAME_YIELD_GROUP_high"])+(data["inst_AMT_INSTALMENT"])) /2.0)))*1.))/ 2.0))))
v["i377"] = np.tanh(((((((data["inst_AMT_INSTALMENT"])-(data["inst_AMT_PAYMENT"])))* 2.0)) *(( 4.81916522979736328))))
v["i378"] = np.tanh(( -1.0*(((((((((((((np.where(data["AMT_CREDIT_y"]>0,(0.0), data["inst_AMT_PAYMENT"])) >(data["inst_AMT_INSTALMENT"])) *1.))/ 2.0)) >(((( 0.0)>(( 11.85620403289794922)))*1.))) *1.))+(data["inst_AMT_PAYMENT"])) /2.0)))))
v["i379"] = np.tanh(( -1.0*(((((( np.where(((data["NAME_PORTFOLIO_Cash"])+(( -1.0*(( np.minimum(((np.tanh(( data["AMT_ANNUITY"])))) ,(( data["inst_AMT_PAYMENT"])))))))) >0, data["AMT_ANNUITY"], 0.0)) / 2.0)) / 2.0)))))
v["i380"] = np.tanh(np.where(data["cc_bal_SK_ID_PREV"]>0, np.tanh(( 1.0)) ,(( data["inst_NUM_INSTALMENT_NUMBER"])*(((((( 1.0)<(data["inst_NUM_INSTALMENT_NUMBER"])) *1.))+(data["inst_NUM_INSTALMENT_NUMBER"]))))))
v["i381"] = np.tanh(((np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((( data["avg_buro_buro_bal_status_1"])*(((data["inst_NUM_INSTALMENT_VERSION"])-(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])))))))) +(((((( data["inst_NUM_INSTALMENT_VERSION"])* 2.0)) >(1.0)) *1.))))
v["i382"] = np.tanh(np.minimum(((((data["Completed"])*(((data["PRODUCT_COMBINATION_Cash_Street__high"])*(1.0)))))) ,(( np.tanh(((((((((( data["NFLAG_INSURED_ON_APPROVAL"])*(data["CNT_INSTALMENT_FUTURE"])))* 2.0)) / 2.0)) / 2.0)))))))
v["i383"] = np.tanh(np.maximum(((np.where(data["PRODUCT_COMBINATION_Cash_X_Sell__high"]>0, data["NAME_YIELD_GROUP_low_action"],(((np.maximum(((data["NAME_YIELD_GROUP_low_action"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) >(1.0)) *1.)))),(((((data["SK_ID_PREV_y"])<(((2.0)-(( 3.0)))))*1.)))))
v["i384"] = np.tanh(((np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["MONTHS_BALANCE"])))) *(((data["CNT_INSTALMENT_FUTURE"])-(np.minimum(((data["inst_AMT_PAYMENT"])) ,(((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))+(( 14.19008731842041016)))))))))))
v["i385"] = np.tanh(((data["MONTHS_BALANCE"])*(np.tanh(( np.minimum(((( -1.0*(( data["NAME_YIELD_GROUP_low_action"]))))),(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]))))))))
v["i386"] = np.tanh(((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(( -1.0*(((((( np.tanh(( data["SK_ID_PREV_y"])))/ 2.0)) * 2.0)))))) /2.0)) / 2.0))
v["i387"] = np.tanh(np.minimum(((np.tanh(((( data["NAME_SELLER_INDUSTRY_Connectivity"])*(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(data["NAME_SELLER_INDUSTRY_Connectivity"])))))))) ,(((( data["NAME_SELLER_INDUSTRY_Connectivity"])*(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])* 2.0)))))))
v["i388"] = np.tanh(((data["NAME_SELLER_INDUSTRY_Connectivity"])*(( -1.0*(((((((( data["NAME_SELLER_INDUSTRY_Connectivity"])>(data["DAYS_FIRST_DRAWING"])) *1.))<(np.maximum(((0.0)) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(((data["cc_bal_AMT_PAYMENT_CURRENT"])* 2.0)))))))) *1.)))))))
v["i389"] = np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["DAYS_FIRST_DRAWING"],(((( data["cc_bal_AMT_PAYMENT_CURRENT"])*(data["CNT_INSTALMENT"])))/ 2.0)))
v["i390"] = np.tanh(np.where(((data["DAYS_FIRST_DRAWING"])*(((( 1.90255212783813477)) *(-2.0)))) >0,(((((data["cc_bal_AMT_PAYMENT_CURRENT"])/ 2.0)) >(((3.0)+(data["DAYS_FIRST_DRAWING"])))) *1.) , np.tanh(( data["cc_bal_AMT_PAYMENT_CURRENT"]))))
v["i391"] = np.tanh(((((data["SK_ID_BUREAU"])* 2.0)) *(((( np.tanh(( 3.0)))<(((data["SK_ID_BUREAU"])+(((((((data["CNT_INSTALMENT"])+(-2.0)))* 2.0)) * 2.0)))))*1.))))
v["i392"] = np.tanh(((( data["NAME_SELLER_INDUSTRY_Connectivity"])>(((((2.0)) +(((((((3.0)/ 2.0)) +(data["MONTHS_BALANCE"])))+(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["MONTHS_BALANCE"], np.tanh(( 2.0)))))))/2.0)))*1.))
v["i393"] = np.tanh(np.minimum(((((((((((((( data["SK_DPD"])+(data["WALLSMATERIAL_MODE"])) /2.0)) *(data["SK_ID_PREV_x"])))*(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))* 2.0)) * 2.0))),(( np.where(data["WALLSMATERIAL_MODE"]>0, data["NAME_CLIENT_TYPE_Repeater"],(2.05001640319824219))))))
v["i394"] = np.tanh(( -1.0*(((((((( data["CNT_INSTALMENT"])<(2.0)) *1.))<(data["te_WALLSMATERIAL_MODE"])) *1.)))))
v["i395"] = np.tanh(((((((((data["CNT_INSTALMENT_FUTURE"])/ 2.0)) +(((np.tanh(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, 3.0, data["cnt_WALLSMATERIAL_MODE"])))) +(data["AMT_CREDIT_x"])))) /2.0)) >(2.0)) *1.))
v["i396"] = np.tanh(((((((( 2.0)-(((( data["WALLSMATERIAL_MODE"])>(( 11.67886257171630859)))*1.))))-(((( data["cnt_WALLSMATERIAL_MODE"])>(( -1.0*(( data["DAYS_LAST_DUE_1ST_VERSION"])))))*1.))))<(data["WALLSMATERIAL_MODE"])) *1.))
v["i397"] = np.tanh(((np.where(((( data["NAME_CONTRACT_TYPE_Revolving_loans"])>(data["DAYS_LAST_DUE_1ST_VERSION"])) *1.) >0, np.where(-1.0>0, np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) ,(( 0.0))), data["NAME_PORTFOLIO_Cards"]), data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) *(data["AMT_CREDIT_x"])))
v["i398"] = np.tanh(((((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])*(((((((data["DAYS_LAST_DUE_1ST_VERSION"])>(((( data["DAYS_LAST_DUE_1ST_VERSION"])>(((((data["inst_NUM_INSTALMENT_VERSION"])* 2.0)) / 2.0)))*1.))) *1.))+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) /2.0)))) * 2.0))
v["i399"] = np.tanh(((-2.0)*(((np.tanh(( data["avg_buro_buro_count"])))*(np.where(np.where(( 5.0)>0, np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(( data["avg_buro_buro_count"]))), data["CNT_INSTALMENT_FUTURE"])>0, data["NAME_CASH_LOAN_PURPOSE_Business_development"], data["AMT_GOODS_PRICE_x"]))))))
v["i400"] = np.tanh(np.tanh(((( data["FLAG_OWN_CAR"])*(np.minimum(((data["inst_AMT_PAYMENT"])) ,(((((( -1.0*(( data["avg_buro_buro_count"])))) >(((data["AMT_GOODS_PRICE_x"])* 2.0)))*1.)))))))))
v["i401"] = np.tanh(((3.0)*(((( -1.0*(((( data["FLAG_OWN_CAR"])+(data["te_FLAG_OWN_CAR"])))))) +(((( data["avg_buro_buro_count"])<(((((3.0)/ 2.0)) +(( -1.0*(( 3.0)))))))*1.))))))
v["i402"] = np.tanh(((((np.tanh(((( np.minimum(((((data["te_FLAG_DOCUMENT_2"])/ 2.0))),(( np.minimum(((data["te_FLAG_DOCUMENT_12"])) ,(( data["te_DAYS_BIRTH"])))))))-(((np.tanh(((( 1.0)/ 2.0)))) / 2.0)))))) / 2.0)) / 2.0))
v["i403"] = np.tanh(((((((1.0)*(((np.where(data["AMT_GOODS_PRICE_x"]>0, -1.0, data["te_CODE_GENDER"])) / 2.0)))) / 2.0)) / 2.0))
v["i404"] = np.tanh(((( np.where(((( data["AMT_CREDIT_y"])+(((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])/ 2.0)))/2.0)>0,(( data["AMT_CREDIT_y"])+(1.0)) , np.minimum(((((2.0)/ 2.0))),(( data["avg_buro_buro_count"])))))<(-1.0)) *1.))
v["i405"] = np.tanh(np.minimum(((((np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(((-1.0*(( data["avg_buro_MONTHS_BALANCE"])))))))/ 2.0))),(((((data["FLAG_OWN_CAR"])>(np.minimum(((data["CNT_INSTALMENT_FUTURE"])) ,(( np.maximum(((data["te_FLAG_OWN_CAR"])) ,(( data["avg_buro_MONTHS_BALANCE"])))))))) *1.)))))
v["i406"] = np.tanh(( -1.0*(((((((((data["CNT_INSTALMENT"])-(np.where(( 13.12239170074462891)>0, np.where(data["NAME_YIELD_GROUP_low_normal"]>0, -1.0, data["AMT_GOODS_PRICE_x"]), data["CNT_INSTALMENT"])))) >(2.0)) *1.))/ 2.0)))))
v["i407"] = np.tanh(((( 2.0)<(((data["CNT_INSTALMENT_FUTURE"])-(((( data["AMT_GOODS_PRICE_x"])<(2.0)) *1.))))) *1.))
v["i408"] = np.tanh(((( 3.0)<(((data["inst_AMT_PAYMENT"])*(data["inst_AMT_PAYMENT"])))) *1.))
v["i409"] = np.tanh(((np.tanh(((((2.0)<(np.minimum(((((((((data["CHANNEL_TYPE_Car_dealer"])* 2.0)) * 2.0)) +(((( 0.91963672637939453)) -(data["AMT_ANNUITY_x"])))))) ,(((6.00309991836547852)))))) *1.))))/ 2.0))
v["i410"] = np.tanh(np.tanh(( np.where(np.tanh(((((data["inst_AMT_PAYMENT"])<(data["inst_AMT_INSTALMENT"])) *1.))) >0,(( data["CHANNEL_TYPE_Car_dealer"])-(data["inst_AMT_PAYMENT"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])-(0.0))))))
v["i411"] = np.tanh(((((((((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])/ 2.0)) >(data["AMT_APPLICATION"])) *1.))*(((( -1.0*(((( data["AMT_APPLICATION"])+(( -1.0*(( data["AMT_CREDIT_y"])))))))))* 2.0)))) * 2.0))
v["i412"] = np.tanh(np.tanh(( np.tanh(( np.minimum(((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(data["NAME_YIELD_GROUP_low_normal"])) *1.))) ,(((((data["AMT_CREDIT_y"])>(data["AMT_APPLICATION"])) *1.)))))))))
v["i413"] = np.tanh(((( -1.0*(((( data["NAME_PRODUCT_TYPE_x_sell"])*(data["inst_NUM_INSTALMENT_NUMBER"])))))) *(((((((np.maximum(((data["DAYS_FIRST_DRAWING"])) ,(( data["NAME_PRODUCT_TYPE_x_sell"])))) +(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))/ 2.0)) *(1.0)))))
v["i414"] = np.tanh(((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])>(np.maximum(((((((( -2.0)<(data["DAYS_LAST_DUE_1ST_VERSION"])) *1.))+(data["DAYS_LAST_DUE_1ST_VERSION"])))) ,(((((( data["DAYS_LAST_DUE_1ST_VERSION"])+(data["DAYS_LAST_DUE_1ST_VERSION"])))+(data["DAYS_LAST_DUE_1ST_VERSION"])))))))*1.))
v["i415"] = np.tanh(((data["NAME_PRODUCT_TYPE_x_sell"])*(np.where(((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])/ 2.0)>0, data["NAME_CLIENT_TYPE_New"],(( np.minimum(((((data["NAME_CONTRACT_STATUS_Approved"])+(2.0)))) ,(((((( 8.13994503021240234)) <(3.0)) *1.))))) * 2.0)))))
v["i416"] = np.tanh(np.minimum(((((data["AMT_CREDIT_x"])*(((((((( -1.0*(( data["CHANNEL_TYPE_Car_dealer"])))) * 2.0)) * 2.0)) -(0.0)))))) ,(((-1.0*(( data["CHANNEL_TYPE_Car_dealer"])))))))
v["i417"] = np.tanh(((((((data["NAME_CONTRACT_STATUS_Approved"])/ 2.0)) *(data["PRODUCT_COMBINATION_Card_X_Sell"])))*(np.minimum(((((data["DAYS_LAST_DUE_1ST_VERSION"])*(data["PRODUCT_COMBINATION_Card_X_Sell"])))) ,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]))))))
v["i418"] = np.tanh(np.maximum(((((data["inst_DAYS_ENTRY_PAYMENT"])+(((-1.0)-(((( data["CODE_REJECT_REASON_HC"])>(0.0)) *1.))))))) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["CODE_REJECT_REASON_HC"]))))))
v["i419"] = np.tanh(((((data["DAYS_FIRST_DUE"])*(((((((data["DAYS_FIRST_DUE"])*(data["cc_bal_AMT_PAYMENT_CURRENT"])))/ 2.0)) +(( -1.0*(( np.tanh(( np.tanh(( data["PRODUCT_COMBINATION_Card_X_Sell"])))))))))))) / 2.0))
v["i420"] = np.tanh(((( np.minimum(((((((((1.0)* 2.0)) +(data["DAYS_FIRST_DUE"])))*(data["DAYS_LAST_DUE"])))) ,(( np.tanh(( 0.0)))))) >(data["DAYS_TERMINATION"])) *1.))
v["i421"] = np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["DAYS_FIRST_DUE"])+(((data["DAYS_FIRST_DUE"])+(data["DAYS_TERMINATION"])))))))* 2.0))
v["i422"] = np.tanh(((((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(( -1.0*(( np.minimum(((data["NAME_CONTRACT_STATUS_Approved"])) ,(((((data["NAME_GOODS_CATEGORY_Insurance"])+(data["SK_DPD_DEF"])) /2.0)))))))))*1.))* 2.0)) * 2.0))
v["i423"] = np.tanh(((np.where(data["PRODUCT_COMBINATION_Card_X_Sell"]>0, np.minimum(((np.tanh(( data["AMT_CREDIT_y"])))) ,(( np.minimum(((( -1.0*(( data["avg_buro_buro_bal_status_1"]))))),(( data["SK_DPD_DEF"])))))) , data["SK_DPD_DEF"])) * 2.0))
v["i424"] = np.tanh(( -1.0*(( np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, np.maximum(((data["AMT_GOODS_PRICE_x"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"]))), data["cc_bal_cc_bal_status__Sent_proposal"])))))
v["i425"] = np.tanh(((( -1.0*(( np.where(((( 13.84500789642333984)) *(data["CHANNEL_TYPE_Car_dealer"])) >0, data["OBS_60_CNT_SOCIAL_CIRCLE"],(-1.0*(( np.maximum(((data["SK_DPD_DEF"])) ,(((((( 3.0)) <(data["OBS_60_CNT_SOCIAL_CIRCLE"])) *1.))))))))))))* 2.0))
v["i426"] = np.tanh(( -1.0*(((((data["NAME_GOODS_CATEGORY_Insurance"])+(((((np.minimum(((data["OBS_30_CNT_SOCIAL_CIRCLE"])) ,(( np.maximum(((((-1.0)+(data["NAME_YIELD_GROUP_high"])))) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))/ 2.0)) +(data["SK_DPD_DEF"])))) /2.0)))))
v["i427"] = np.tanh(((((data["EXT_SOURCE_3"])*(np.tanh(((((((((11.57633495330810547)) >(((data["SK_DPD_DEF"])*(( 5.0)))))*1.))<(((np.minimum(((data["AMT_DOWN_PAYMENT"])) ,(((11.51627063751220703)))))* 2.0)))*1.))))))* 2.0))
v["i428"] = np.tanh(np.where(data["CNT_INSTALMENT"]>0,(((( data["SK_DPD_DEF"])-(((( 3.0)<(data["CHANNEL_TYPE_Car_dealer"])) *1.))))*(( 8.51310443878173828))), data["NAME_GOODS_CATEGORY_Insurance"]))
v["i429"] = np.tanh(np.where(data["SK_DPD_DEF"]>0,(( np.minimum(((( 2.84313511848449707))),(((((( data["inst_DAYS_INSTALMENT"])-(0.0)))* 2.0)))))* 2.0),(-1.0*(( 0.0)))))
v["i430"] = np.tanh(((((np.minimum(((data["AMT_CREDIT_x"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) +(data["SK_DPD_DEF"])))*(np.where(data["SK_DPD_DEF"]>0,(( data["CNT_INSTALMENT_FUTURE"])* 2.0), data["NAME_GOODS_CATEGORY_Insurance"]))))
v["i431"] = np.tanh(((data["CNT_INSTALMENT_FUTURE"])*(np.maximum(((np.minimum(((((1.0)-(data["SK_DPD_DEF"])))) ,(( data["SK_DPD_DEF"]))))),(((( data["SK_ID_PREV_x"])/ 2.0)))))))
v["i432"] = np.tanh(np.where(data["CHANNEL_TYPE_AP___Cash_loan_"]>0,(-1.0*(((( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( data["CNT_INSTALMENT"])/ 2.0)))))/ 2.0)))) , np.where(data["AMT_DOWN_PAYMENT"]>0,(((data["AMT_CREDIT_x"])<(-1.0)) *1.) , data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))
v["i433"] = np.tanh(np.minimum(((((((( data["SK_DPD_DEF"])* 2.0)) +(((np.tanh(( data["REGION_POPULATION_RELATIVE"])))/ 2.0)))/2.0))),(( np.tanh(((( data["SK_DPD_DEF"])*(data["CNT_INSTALMENT"]))))))))
v["i434"] = np.tanh(((data["cnt_FLAG_DOCUMENT_10"])+(( -1.0*(( np.maximum(((np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["te_REGION_RATING_CLIENT_W_CITY"], data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]))),(((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])+(((data["SK_DPD_DEF"])/ 2.0)))/2.0))))))))))
v["i435"] = np.tanh(((((( -1.0*(( np.where(np.where(((-1.0)/ 2.0)>0, data["NAME_GOODS_CATEGORY_Insurance"], data["NAME_CASH_LOAN_PURPOSE_Business_development"])>0,(( data["AMT_CREDIT_x"])* 2.0), data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))* 2.0)) *(data["REGION_RATING_CLIENT_W_CITY"])))
v["i436"] = np.tanh(np.minimum(((( -1.0*(((((data["AMT_CREDIT_x"])>(((2.0)* 2.0)))*1.)))))),(((((((((-1.0*(( data["cnt_FLAG_DOCUMENT_13"])))) <(np.tanh(( data["cnt_REGION_RATING_CLIENT_W_CITY"])))) *1.))+(data["AMT_CREDIT_x"])) /2.0)))))
v["i437"] = np.tanh(((((data["inst_AMT_PAYMENT"])* 2.0)) *(np.where(((np.where(-3.0>0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"], data["cnt_NAME_HOUSING_TYPE"])) -(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) >0, data["CHANNEL_TYPE_Car_dealer"], data["inst_AMT_PAYMENT"]))))
v["i438"] = np.tanh(((-3.0)*(((((((( data["REGION_RATING_CLIENT_W_CITY"])+(data["NAME_HOUSING_TYPE"])))+(data["CHANNEL_TYPE_Car_dealer"])))>(((((9.0)) +(((( data["CHANNEL_TYPE_Car_dealer"])+(-1.0)) /2.0)))/2.0)))*1.))))
v["i439"] = np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0)) *(((((( -1.0*(( data["te_REGION_RATING_CLIENT_W_CITY"])))) -(((( 2.0)+(0.0)) /2.0)))) -(data["REGION_RATING_CLIENT_W_CITY"])))))
v["i440"] = np.tanh(((np.tanh(( data["HOUR_APPR_PROCESS_START_x"])))*(((( data["AMT_DOWN_PAYMENT"])+(((((((data["AMT_CREDIT_x"])<(2.0)) *1.))+(data["AMT_CREDIT_x"])) /2.0)))/2.0))))
v["i441"] = np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(((data["cnt_FLAG_DOCUMENT_4"])<(( -1.0*(( data["te_HOUR_APPR_PROCESS_START_x"])))))*1.) ,(((-3.0)>(data["HOUR_APPR_PROCESS_START_y"])) *1.)))
v["i442"] = np.tanh(((np.minimum(((np.minimum(((((data["HOUR_APPR_PROCESS_START_x"])*(data["nans"])))) ,(((0.75266021490097046)))))) ,(((((( data["HOUR_APPR_PROCESS_START_x"])*(np.tanh(( data["NAME_GOODS_CATEGORY_Insurance"])))))* 2.0)))))/ 2.0))
v["i443"] = np.tanh(((data["AMT_GOODS_PRICE_x"])*(((data["FLAG_DOCUMENT_14"])-(((( 0.0)<(data["NAME_GOODS_CATEGORY_Fitness"])) *1.))))))
v["i444"] = np.tanh(np.where(data["AMT_CREDIT_y"]>0, data["te_FLAG_DOCUMENT_14"], np.tanh(((-1.0*(( np.where(3.0>0,(((( -1.0*(((( data["AMT_CREDIT_x"])/ 2.0)))))+(0.0)) /2.0), data["NAME_CASH_LOAN_PURPOSE_Business_development"]))))))))
v["i445"] = np.tanh(( -1.0*(((-1.0*(((((( data["te_FLAG_DOCUMENT_5"])+(data["AMT_GOODS_PRICE_x"])))*(data["FLAG_DOCUMENT_14"])))))))))
v["i446"] = np.tanh(((np.minimum(((np.maximum(((data["FLAG_DOCUMENT_14"])) ,(((((data["AMT_GOODS_PRICE_x"])<(data["te_FLAG_DOCUMENT_14"])) *1.)))))),(( data["cnt_FLAG_DOCUMENT_14"])))) *(((2.0)-(data["AMT_GOODS_PRICE_x"])))))
v["i447"] = np.tanh(np.minimum(((((( np.tanh(((-1.0*(((( data["nans"])/ 2.0)))))))+(data["te_FLAG_DOCUMENT_14"])) /2.0))),(( 0.0))))
v["i448"] = np.tanh(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) ,(((((((((-2.0)-(((( data["FLAG_DOCUMENT_4"])>(1.0)) *1.))))<(((( -1.0*(( data["AMT_DOWN_PAYMENT"])))) *(2.0)))) *1.))+(data["AMT_CREDIT_y"]))))))
v["i449"] = np.tanh(((((( data["CNT_INSTALMENT"])+(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(np.maximum(((data["AMT_CREDIT_x"])) ,(((((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) +(1.0)) /2.0)))))))))<(((((-2.0)/ 2.0)) * 2.0)))*1.))
v["i450"] = np.tanh(((( data["AMT_DOWN_PAYMENT"])>(((((2.39543843269348145)) +(((np.tanh(( data["AMT_GOODS_PRICE_x"])))*(( -1.0*(((((((data["AMT_GOODS_PRICE_x"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))<(data["AMT_DOWN_PAYMENT"])) *1.))))))))/2.0)))*1.))
v["i451"] = np.tanh(((data["cnt_DAYS_BIRTH"])*(((((data["CHANNEL_TYPE_Car_dealer"])+(np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["AMT_GOODS_PRICE_x"],(((data["te_FLAG_DOCUMENT_20"])+(data["NAME_GOODS_CATEGORY_Fitness"])) /2.0)))))/ 2.0))))
v["i452"] = np.tanh(np.minimum(((data["SK_DPD_DEF"])) ,(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["te_FLAG_DOCUMENT_20"],(((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["SK_DPD_DEF"])))-(data["CHANNEL_TYPE_Car_dealer"])))-(data["CHANNEL_TYPE_Car_dealer"])))))))
v["i453"] = np.tanh(np.minimum(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["AMT_GOODS_PRICE_x"])))) ,(((( 0.0)-(((-2.0)+(np.maximum(((((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0)) * 2.0))),(( data["AMT_GOODS_PRICE_x"])))))))))))
v["i454"] = np.tanh(((data["te_FLAG_CONT_MOBILE"])*(np.where(2.0>0, np.where(((data["NAME_GOODS_CATEGORY_Insurance"])+(data["AMT_CREDIT_y"])) >0,(( data["AMT_CREDIT_x"])/ 2.0), data["NAME_GOODS_CATEGORY_Fitness"]),(( data["NAME_GOODS_CATEGORY_Fitness"])-(data["te_FLAG_CONT_MOBILE"]))))))
v["i455"] = np.tanh(((((( data["te_FLAG_DOCUMENT_19"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))<(np.minimum(((((((data["te_FLAG_DOCUMENT_20"])-(data["te_FLAG_EMAIL"])))* 2.0))),(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))*1.))
v["i456"] = np.tanh(((data["FLAG_DOCUMENT_15"])*(np.minimum(((3.0)) ,(( np.minimum(((data["FLAG_DOCUMENT_15"])) ,(((( data["te_FLAG_DOCUMENT_20"])-(((np.minimum(((( 5.04014062881469727))),(((((0.19776110351085663)) / 2.0)))))* 2.0))))))))))))
v["i457"] = np.tanh(((np.minimum(((data["cnt_FLAG_DOCUMENT_4"])) ,(((((( 1.0)-(data["te_FLAG_DOCUMENT_20"])))-(np.tanh(( np.tanh(( data["NAME_GOODS_CATEGORY_Fitness"])))))))))) +(((data["FLAG_DOCUMENT_15"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))
v["i458"] = np.tanh(np.where(data["FLAG_DOCUMENT_15"]>0, data["te_FLAG_DOCUMENT_20"],(((((-1.0*(( data["te_FLAG_DOCUMENT_20"])))) *(((( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])<(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))))/ 2.0)))
v["i459"] = np.tanh(((data["FLAG_DOCUMENT_15"])*(np.where(np.tanh(((( data["FLAG_DOCUMENT_15"])/ 2.0)))>0,(((np.where(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])/ 2.0)>0, data["FLAG_DOCUMENT_15"], -2.0)) +(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0), data["NAME_GOODS_CATEGORY_Fitness"]))))
v["i460"] = np.tanh(((((((np.where(((((12.33196353912353516)) >(data["NAME_GOODS_CATEGORY_Fitness"])) *1.) >0, data["cnt_FLAG_DOCUMENT_10"],(((8.0)) * 2.0)))* 2.0)) +(((np.tanh(( data["cnt_FLAG_DOCUMENT_15"])))-(data["NAME_GOODS_CATEGORY_Fitness"])))))/ 2.0))
v["i461"] = np.tanh(((((np.minimum(((data["ty__Real_estate_loan"])) ,(( data["ty__Loan_for_working_capital_replenishment"])))) +(((data["AMT_CREDIT_y"])*(data["ty__Loan_for_working_capital_replenishment"])))))-(np.tanh(((((( 0.58618438243865967)) <(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) *1.))))))
v["i462"] = np.tanh(((( np.minimum(((data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])) ,(( np.where(np.where(-3.0>0, data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"],(( data["cc_bal_AMT_RECIVABLE"])-(1.0)))>0, data["NAME_GOODS_CATEGORY_Insurance"],(( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])* 2.0)))))) >(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) *1.))
v["i463"] = np.tanh(( -1.0*(((( np.where(data["AMT_CREDIT_y"]>0, data["AMT_GOODS_PRICE_x"], data["CNT_INSTALMENT_FUTURE"])) *(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"]))))))
v["i464"] = np.tanh(((np.maximum(((np.where(data["ty__Loan_for_working_capital_replenishment"]>0, data["AMT_CREDIT_y"], data["ty__Loan_for_working_capital_replenishment"]))),(( data["ty__Loan_for_working_capital_replenishment"])))) *(((np.tanh(( data["AMT_CREDIT_y"])))* 2.0))))
v["i465"] = np.tanh(np.minimum(((np.tanh(((( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])*(( 10.98657798767089844))))))),(((((-1.0*(((((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) <(np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(( data["ty__Real_estate_loan"])))))*1.))))) *(( 10.98657798767089844)))))))
v["i466"] = np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])-(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(((((((( data["ty__Interbank_credit"])*(data["AMT_GOODS_PRICE_x"])))* 2.0)) <(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0)))*1.)))))))))
v["i467"] = np.tanh(((((data["AMT_GOODS_PRICE_x"])*(np.minimum(((((0.0)* 2.0))),(((((((data["NAME_GOODS_CATEGORY_House_Construction"])>(0.0)) *1.))-(np.minimum(((data["nans"])) ,(( data["AMT_GOODS_PRICE_x"])))))))))))* 2.0))
v["i468"] = np.tanh(np.where(data["te_HOUR_APPR_PROCESS_START_x"]>0,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0),(( np.tanh(((((((data["AMT_CREDIT_x"])>(((((((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0)) * 2.0)) <(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.))) *1.))* 2.0)))) / 2.0)))
v["i469"] = np.tanh(np.minimum(((((data["HOUR_APPR_PROCESS_START_x"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) ,(( np.maximum(((( -1.0*(( np.where(1.0>0, data["HOUR_APPR_PROCESS_START_y"], data["HOUR_APPR_PROCESS_START_x"])))))) ,(( np.tanh(( data["HOUR_APPR_PROCESS_START_x"])))))))))
v["i470"] = np.tanh(( -1.0*(( np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["EMERGENCYSTATE_MODE"],(((((( data["WALLSMATERIAL_MODE"])*(data["HOUR_APPR_PROCESS_START_x"])))*(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))*(( -1.0*(((( data["HOUR_APPR_PROCESS_START_x"])* 2.0)))))))))))
v["i471"] = np.tanh(np.minimum(((np.where(np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))>0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"], data["cnt_FLAG_DOCUMENT_18"]))),(((-1.0*(((((((data["te_HOUR_APPR_PROCESS_START_x"])+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))<(-1.0)) *1.))))))))
v["i472"] = np.tanh(((data["EXT_SOURCE_1"])*(((((((1.0)* 2.0)) +(data["EXT_SOURCE_1"])))-(( -1.0*(( np.minimum(((((data["EXT_SOURCE_1"])/ 2.0))),(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))))))))
v["i473"] = np.tanh(((( 10.0)) *(((np.minimum(((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(data["EXT_SOURCE_1"])))) ,(((-1.0*(((((( data["EXT_SOURCE_1"])+(((( 0.0)>(data["EXT_SOURCE_1"])) *1.))))/ 2.0)))))))) / 2.0))))
v["i474"] = np.tanh(((np.maximum(((((data["te_DAYS_EMPLOYED"])*(( 0.0))))),(( np.tanh(( np.where(( 8.0)>0,(((data["cnt_FLAG_DOCUMENT_3"])>(data["te_ORGANIZATION_TYPE"])) *1.) , 0.0)))))))/ 2.0))
v["i475"] = np.tanh(np.tanh(( np.where(np.tanh(( data["te_NAME_CONTRACT_TYPE"])) >0, np.where(((( np.minimum(((data["te_NAME_CONTRACT_TYPE"])) ,(( -3.0)))) <(data["te_FLAG_DOCUMENT_8"])) *1.) >0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"], data["te_DAYS_EMPLOYED"]), data["cnt_NAME_INCOME_TYPE"]))))
v["i476"] = np.tanh(((((((data["te_ORGANIZATION_TYPE"])*(np.tanh(( data["AMT_CREDIT_x"])))))/ 2.0)) *(data["AMT_CREDIT_x"])))
v["i477"] = np.tanh(((data["te_OCCUPATION_TYPE"])*(np.minimum(((((data["cnt_FLAG_DOCUMENT_6"])/ 2.0))),(((-1.0*(( np.minimum(((3.0)) ,(( np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["te_OCCUPATION_TYPE"],(( data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0))))))))))))))
v["i478"] = np.tanh(((np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0,(-1.0*(((( 3.0)-(data["cnt_FLAG_DOCUMENT_3"]))))), data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) *(((( np.where(data["cnt_FLAG_DOCUMENT_3"]>0, 3.0, data["AMT_CREDIT_x"])) <(data["cnt_FLAG_DOCUMENT_6"])) *1.))))
v["i479"] = np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["FLAG_DOCUMENT_6"],(( data["te_REGION_RATING_CLIENT"])*(( -1.0*(((((np.minimum(((data["te_REGION_RATING_CLIENT"])) ,(((( data["te_FLAG_DOCUMENT_6"])+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))) <(-2.0)) *1.))))))))
v["i480"] = np.tanh(((np.where(data["cnt_FLAG_DOCUMENT_6"]>0, data["te_FLAG_DOCUMENT_6"],(-1.0*(((-1.0*(( 3.0)))))))) *(((((((data["NAME_GOODS_CATEGORY_Insurance"])<(data["te_REGION_RATING_CLIENT_W_CITY"])) *1.))<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))))
v["i481"] = np.tanh(np.where(data["FLAG_DOCUMENT_6"]>0, data["CNT_FAM_MEMBERS"],(((( data["te_REGION_RATING_CLIENT_W_CITY"])*(data["te_FLAG_DOCUMENT_6"])))*(data["te_DAYS_EMPLOYED"]))))
v["i482"] = np.tanh(np.where(((data["te_NAME_HOUSING_TYPE"])-(1.0)) >0, data["SK_ID_BUREAU"], np.maximum(((np.where(data["te_NAME_HOUSING_TYPE"]>0, 1.0, 0.0))),(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))
v["i483"] = np.tanh(np.minimum(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["te_NAME_CONTRACT_TYPE"])))* 2.0))),(((((((( data["cnt_NAME_HOUSING_TYPE"])>(((( data["NAME_CONTRACT_TYPE"])+(((data["te_NAME_CONTRACT_TYPE"])*(data["NAME_GOODS_CATEGORY_Insurance"])))) /2.0)))*1.))+(data["NAME_CONTRACT_TYPE"])) /2.0)))))
v["i484"] = np.tanh(((np.where(((data["ty__Interbank_credit"])*(data["NAME_GOODS_CATEGORY_Insurance"])) >0, data["NAME_GOODS_CATEGORY_Insurance"], np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((-1.0*(( data["cnt_REGION_RATING_CLIENT_W_CITY"])))))))) *(((((( data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)) >(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.))))
v["i485"] = np.tanh(np.where(((data["cnt_REGION_RATING_CLIENT"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])) >0,(-1.0*(((( data["cnt_REGION_RATING_CLIENT"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"]))))),(-1.0*(((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])* 2.0))))))
v["i486"] = np.tanh(np.where(data["ty__Interbank_credit"]>0,(( data["NAME_GOODS_CATEGORY_Insurance"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( data["ty__Loan_for_working_capital_replenishment"])* 2.0)) -(data["NAME_GOODS_CATEGORY_Insurance"]))))
v["i487"] = np.tanh(((np.minimum(((((np.maximum(((((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])-(1.0)))) ,(( np.maximum(((data["ty__Loan_for_working_capital_replenishment"])) ,(((-1.0*(( -3.0)))))))))) *(data["ty__Loan_for_working_capital_replenishment"])))) ,(( data["ty__Loan_for_working_capital_replenishment"])))) -(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))
v["i488"] = np.tanh(( -1.0*(((((np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( np.where(data["ty__Loan_for_working_capital_replenishment"]>0, data["REGION_RATING_CLIENT_W_CITY"], 0.0)))))+(((((( data["DAYS_CREDIT"])<(-3.0)) *1.))* 2.0)))/2.0)))))
v["i489"] = np.tanh(np.minimum(((np.where(data["cc_bal_CNT_DRAWINGS_CURRENT"]>0, data["REGION_RATING_CLIENT_W_CITY"],(( data["REGION_RATING_CLIENT_W_CITY"])*(np.tanh(( data["cc_bal_CNT_DRAWINGS_CURRENT"]))))))),(( np.maximum(((-3.0)) ,(( 0.0)))))))
v["i490"] = np.tanh(((np.maximum(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) ,(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(np.minimum(((((( -3.0)+(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) /2.0))),(((( -3.0)* 2.0)))))))))) *(data["te_REGION_RATING_CLIENT_W_CITY"])))
v["i491"] = np.tanh(((( np.where(np.tanh(( data["NAME_GOODS_CATEGORY_Direct_Sales"])) >0, data["cc_bal_CNT_DRAWINGS_CURRENT"],(((( -2.0)+(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])))/ 2.0)))>(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) *1.))
v["i492"] = np.tanh(((( np.minimum(((data["ty__Loan_for_working_capital_replenishment"])) ,(( data["cc_bal_CNT_DRAWINGS_CURRENT"])))) >(((( np.tanh(( np.tanh(( data["cc_bal_CNT_DRAWINGS_CURRENT"])))))<(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) *1.))) *1.))
v["i493"] = np.tanh(((((( np.where(np.where(((( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.) >0, data["AMT_CREDIT_SUM_DEBT"], -3.0)>0, data["NAME_GOODS_CATEGORY_Insurance"], -3.0)) >(data["ty__Loan_for_working_capital_replenishment"])) *1.))* 2.0))
v["i494"] = np.tanh(np.tanh(( np.where(((( data["cc_bal_CNT_DRAWINGS_CURRENT"])+(np.tanh(( -2.0)))) /2.0)>0, data["cnt_REGION_RATING_CLIENT_W_CITY"],(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])>(3.0)) *1.)))))
v["i495"] = np.tanh(np.where(data["DAYS_LAST_DUE_1ST_VERSION"]>0,(( data["inst_NUM_INSTALMENT_NUMBER"])*(np.minimum(((np.where(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"]>0, -1.0, data["NAME_CASH_LOAN_PURPOSE_Business_development"]))),(( data["NAME_GOODS_CATEGORY_Insurance"]))))), data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"]))
v["i496"] = np.tanh(((((((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])>(2.0)) *1.))+(data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])))*(((( 0.0)<(((( -1.0*(((( 2.0)-(data["cc_bal_AMT_TOTAL_RECEIVABLE"])))))) * 2.0)))*1.))))
v["i497"] = np.tanh(((data["cc_bal_AMT_DRAWINGS_CURRENT"])*(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(( -1.0*(((-1.0*(((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))>(((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((( 2.0)) * 2.0)))))*1.))))))))))))
v["i498"] = np.tanh(((((data["DAYS_LAST_DUE_1ST_VERSION"])*(data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])))*(((((( 8.0)) *(data["ty__Loan_for_working_capital_replenishment"])))-(data["ty__Loan_for_working_capital_replenishment"])))))
v["i499"] = np.tanh(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])>(np.maximum(((np.where(3.0>0,(( data["cc_bal_AMT_PAYMENT_CURRENT"])/ 2.0), data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]))),(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])* 2.0)))))) *1.))
v["i500"] = np.tanh(((((((( data["cc_bal_AMT_PAYMENT_CURRENT"])*(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])))<(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])+(np.minimum(((3.0)) ,(( -3.0)))))/2.0)))*1.))* 2.0))
v["i501"] = np.tanh(((((data["DAYS_LAST_DUE_1ST_VERSION"])*(( 2.0)))) *(np.where(data["ty__Loan_for_working_capital_replenishment"]>0, data["cc_bal_AMT_PAYMENT_CURRENT"],(( np.tanh(( data["DAYS_LAST_DUE_1ST_VERSION"])))*(data["NAME_GOODS_CATEGORY_Direct_Sales"]))))))
v["i502"] = np.tanh(np.where(((((((6.0)) * 2.0)) >(((data["ty__Loan_for_working_capital_replenishment"])-(( -1.0*(( data["FLAG_DOCUMENT_4"])))))))*1.) >0, np.maximum(((data["ty__Interbank_credit"])) ,(( data["ty__Loan_for_working_capital_replenishment"]))), -2.0))
v["i503"] = np.tanh(np.where(data["ty__Loan_for_working_capital_replenishment"]>0,(((2.0)<(data["AMT_CREDIT_x"])) *1.) , np.tanh(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(((2.0)<(data["AMT_CREDIT_x"])) *1.) , 0.0)))))
v["i504"] = np.tanh(( -1.0*(( np.where(((((((data["nans"])+(1.0)) /2.0)) +(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)>0, data["NAME_GOODS_CATEGORY_Insurance"], data["AMT_GOODS_PRICE_x"])))))
v["i505"] = np.tanh(((data["ELEVATORS_MODE"])*(((np.where(((np.where(( 6.0)>0, data["cc_bal_CNT_INSTALMENT_MATURE_CUM"], np.maximum(((0.0)) ,(((-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))))) / 2.0)>0, data["cc_bal_CNT_INSTALMENT_MATURE_CUM"], data["ty__Loan_for_working_capital_replenishment"])) * 2.0))))
v["i506"] = np.tanh(((((2.09928321838378906)) <(np.maximum(((((data["cc_bal_SK_ID_PREV"])*(-2.0)))) ,(( np.where(data["AMT_CREDIT_x"]>0, data["cc_bal_CNT_INSTALMENT_MATURE_CUM"], np.tanh(( 1.0)))))))) *1.))
v["i507"] = np.tanh(((((data["AMT_CREDIT_x"])*(((data["cc_bal_SK_ID_PREV"])*(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))/ 2.0))
v["i508"] = np.tanh(( -1.0*(( np.maximum(((((( np.tanh(((((((( data["ty__Loan_for_working_capital_replenishment"])*(data["nans"])))/ 2.0)) +(data["ty__Interbank_credit"])))))<(data["ty__Loan_for_working_capital_replenishment"])) *1.))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))
v["i509"] = np.tanh(np.where(((np.tanh(( np.maximum(((((((data["ty__Interbank_credit"])*(data["AMT_GOODS_PRICE_x"])))-(data["te_HOUSETYPE_MODE"])))) ,(( data["cnt_WALLSMATERIAL_MODE"])))))) / 2.0)>0,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["AMT_GOODS_PRICE_x"])) , data["AMT_GOODS_PRICE_x"]))
v["i510"] = np.tanh(np.minimum(((0.0)) ,(((((((data["te_HOUSETYPE_MODE"])<(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])<(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))) *1.))-(((( data["cnt_WALLSMATERIAL_MODE"])+(data["AMT_GOODS_PRICE_x"])) /2.0)))))))
v["i511"] = np.tanh(((np.maximum(((((data["te_FLAG_DOCUMENT_7"])+(-1.0)))) ,(((((-1.0*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["te_FLAG_DOCUMENT_10"])))))) *(-1.0)))))) * 2.0))
return v | Home Credit Default Risk |
1,056,491 | y_train_log = np.log1p(y_train ).copy()<train_on_grid> | gc.enable()
buro_bal = pd.read_csv('.. /input/bureau_balance.csv')
print('Buro bal shape : ', buro_bal.shape)
print('transform to dummies')
buro_bal = pd.concat([buro_bal, pd.get_dummies(buro_bal.STATUS, prefix='buro_bal_status')], axis=1 ).drop('STATUS', axis=1)
print('Counting buros')
buro_counts = buro_bal[['SK_ID_BUREAU', 'MONTHS_BALANCE']].groupby('SK_ID_BUREAU' ).count()
buro_bal['buro_count'] = buro_bal['SK_ID_BUREAU'].map(buro_counts['MONTHS_BALANCE'])
print('averaging buro bal')
avg_buro_bal = buro_bal.groupby('SK_ID_BUREAU' ).mean()
avg_buro_bal.columns = ['avg_buro_' + f_ for f_ in avg_buro_bal.columns]
del buro_bal
gc.collect()
print('Read Bureau')
buro = pd.read_csv('.. /input/bureau.csv')
print('Go to dummies')
buro_credit_active_dum = pd.get_dummies(buro.CREDIT_ACTIVE, prefix='ca_')
buro_credit_currency_dum = pd.get_dummies(buro.CREDIT_CURRENCY, prefix='cu_')
buro_credit_type_dum = pd.get_dummies(buro.CREDIT_TYPE, prefix='ty_')
buro_full = pd.concat([buro, buro_credit_active_dum, buro_credit_currency_dum, buro_credit_type_dum], axis=1)
del buro_credit_active_dum, buro_credit_currency_dum, buro_credit_type_dum
gc.collect()
print('Merge with buro avg')
buro_full = buro_full.merge(right=avg_buro_bal.reset_index() , how='left', on='SK_ID_BUREAU', suffixes=('', '_bur_bal'))
print('Counting buro per SK_ID_CURR')
nb_bureau_per_curr = buro_full[['SK_ID_CURR', 'SK_ID_BUREAU']].groupby('SK_ID_CURR' ).count()
buro_full['SK_ID_BUREAU'] = buro_full['SK_ID_CURR'].map(nb_bureau_per_curr['SK_ID_BUREAU'])
print('Averaging bureau')
avg_buro = buro_full.groupby('SK_ID_CURR' ).mean()
print(avg_buro.head())
del buro, buro_full
gc.collect()
print('Read prev')
prev = pd.read_csv('.. /input/previous_application.csv')
prev_cat_features = [
f_ for f_ in prev.columns if prev[f_].dtype == 'object'
]
print('Go to dummies')
prev_dum = pd.DataFrame()
for f_ in prev_cat_features:
prev_dum = pd.concat([prev_dum, pd.get_dummies(prev[f_], prefix=f_ ).astype(np.uint8)], axis=1)
prev = pd.concat([prev, prev_dum], axis=1)
del prev_dum
gc.collect()
print('Counting number of Prevs')
nb_prev_per_curr = prev[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
prev['SK_ID_PREV'] = prev['SK_ID_CURR'].map(nb_prev_per_curr['SK_ID_PREV'])
print('Averaging prev')
avg_prev = prev.groupby('SK_ID_CURR' ).mean()
print(avg_prev.head())
del prev
gc.collect()
print('Reading POS_CASH')
pos = pd.read_csv('.. /input/POS_CASH_balance.csv')
print('Go to dummies')
pos = pd.concat([pos, pd.get_dummies(pos['NAME_CONTRACT_STATUS'])], axis=1)
print('Compute nb of prevs per curr')
nb_prevs = pos[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
pos['SK_ID_PREV'] = pos['SK_ID_CURR'].map(nb_prevs['SK_ID_PREV'])
print('Go to averages')
avg_pos = pos.groupby('SK_ID_CURR' ).mean()
del pos, nb_prevs
gc.collect()
print('Reading CC balance')
cc_bal = pd.read_csv('.. /input/credit_card_balance.csv')
print('Go to dummies')
cc_bal = pd.concat([cc_bal, pd.get_dummies(cc_bal['NAME_CONTRACT_STATUS'], prefix='cc_bal_status_')], axis=1)
nb_prevs = cc_bal[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
cc_bal['SK_ID_PREV'] = cc_bal['SK_ID_CURR'].map(nb_prevs['SK_ID_PREV'])
print('Compute average')
avg_cc_bal = cc_bal.groupby('SK_ID_CURR' ).mean()
avg_cc_bal.columns = ['cc_bal_' + f_ for f_ in avg_cc_bal.columns]
del cc_bal, nb_prevs
gc.collect()
print('Reading Installments')
inst = pd.read_csv('.. /input/installments_payments.csv')
nb_prevs = inst[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
inst['SK_ID_PREV'] = inst['SK_ID_CURR'].map(nb_prevs['SK_ID_PREV'])
avg_inst = inst.groupby('SK_ID_CURR' ).mean()
avg_inst.columns = ['inst_' + f_ for f_ in avg_inst.columns]
print('Read data and test')
data = pd.read_csv('.. /input/application_train.csv')
test = pd.read_csv('.. /input/application_test.csv')
print('Shapes : ', data.shape, test.shape)
print('Read data and test')
train = pd.read_csv('.. /input/application_train.csv')
test = pd.read_csv('.. /input/application_test.csv')
print('Shapes : ', train.shape, train.shape)
categorical_feats = [
f for f in data.columns if data[f].dtype == 'object'
]
categorical_feats
for f_ in categorical_feats:
train[f_], indexer = pd.factorize(train[f_])
test[f_] = indexer.get_indexer(test[f_])
train = train.merge(right=avg_buro.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_buro.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_prev.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_prev.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_pos.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_pos.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_cc_bal.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_cc_bal.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_inst.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_inst.reset_index() , how='left', on='SK_ID_CURR')
del avg_buro, avg_prev
gc.collect()
ID = test.SK_ID_CURR | Home Credit Default Risk |
1,056,491 | scores = []
kf = KFold(n_splits=5, random_state=71, shuffle=True)
for i,(train_ix, test_ix)in tqdm(enumerate(kf.split(X_train, y_train_log))):
X_train_, y_train_ = X_train.values[train_ix], y_train_log.values[train_ix]
X_val, y_val = X_train.values[test_ix], y_train_log.values[test_ix]
reg = LGBMRegressor()
reg.fit(X_train_, y_train_, eval_metric='rmse')
y_pred = reg.predict(X_val)
score = mean_absolute_error(y_val, y_pred)
scores.append(score)
print('CV Score of Fold_%d is %f' %(i, score))
print(np.mean(scores))
print(scores )<prepare_output> | train.columns = train.columns.str.replace('[^A-Za-z0-9_]', '_')
test.columns = test.columns.str.replace('[^A-Za-z0-9_]', '_' ) | Home Credit Default Risk |
1,056,491 | np.expm1(y_pred )<predict_on_test> | floattypes = []
inttypes = []
stringtypes = []
for c in test.columns:
if(train[c].dtype=='object'):
train[c] = train[c].astype('str')
stringtypes.append(c)
elif(train[c].dtype=='int64'):
train[c] = train[c].astype('int32')
inttypes.append(c)
else:
train[c] = train[c].astype('float32')
floattypes.append(c)
train = train.reset_index(drop=True)
test = test.reset_index(drop=True ) | Home Credit Default Risk |
1,056,491 | reg.fit(X_train, y_train_log, eval_metric='rmse')
y_pred = np.expm1(reg.predict(X_test))
<load_from_csv> | kf = KFold(n_splits=5, shuffle=True, random_state=42)
for col in stringtypes:
train['te_'+col] = 0.
test['te_'+col] = 0.
SMOOTHING = test[~test[col].isin(train[col])].shape[0]/test.shape[0]
_, test['te_'+col] = target_encode(train[col],
test[col],
target=train['TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0)
for f,(vis_index, blind_index)in enumerate(kf.split(train)) :
_, train.loc[blind_index, 'te_'+col] = target_encode(train.loc[vis_index, col],
train.loc[blind_index, col],
target=train.loc[vis_index,'TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0 ) | Home Credit Default Risk |
1,056,491 | submission = pd.read_csv('.. /input/exam-for-students20200129/sample_submission.csv', index_col=0)
submission.ConvertedSalary = y_pred
submission.to_csv('submission.csv' )<compute_test_metric> | kf = KFold(n_splits=5, shuffle=True, random_state=42)
for col in inttypes:
train['te_'+col] = 0.
test['te_'+col] = 0.
SMOOTHING = test[~test[col].isin(train[col])].shape[0]/test.shape[0]
_, test['te_'+col] = target_encode(train[col],
test[col],
target=train['TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0)
for f,(vis_index, blind_index)in enumerate(kf.split(train)) :
_, train.loc[blind_index, 'te_'+col] = target_encode(train.loc[vis_index, col],
train.loc[blind_index, col],
target=train.loc[vis_index,'TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0 ) | Home Credit Default Risk |
1,056,491 | fti = reg.feature_importances_
print('Feature Importances:')
for i, feat in enumerate(X_train):
print('\t{0:20s} : {1:>.6f}'.format(feat, fti[i]))<set_options> | ntrainrows = train.shape[0]
alldata = pd.concat([train,test])
del train ,test
gc.collect() | Home Credit Default Risk |
1,056,491 | %matplotlib inline
plt.style.use("dark_background" )<define_variables> | alldata['nans'] = alldata.isnull().sum(axis=1 ) | Home Credit Default Risk |
1,056,491 | def seed_everything(seed=1234):
random.seed(seed)
os.environ['PYTHONHASHSEED'] = str(seed)
tf.random.set_seed(seed)
np.random.seed(seed)
seed_everything(2020 )<define_variables> | for col in inttypes[1:]:
x = alldata[col].value_counts().reset_index(drop=False)
x.columns = [col,'cnt_'+col]
x['cnt_'+col]/=alldata.shape[0]
alldata = alldata.merge(x,on=col,how='left' ) | Home Credit Default Risk |
1,056,491 | main_dir = ".. /input/biobytes-contest"
<load_from_csv> | alldata[features] = alldata[features].astype('float32' ) | Home Credit Default Risk |
1,056,491 | with open(f"{main_dir}/Main_data.txt")as f:
temp = f.read()
temp = temp[:temp.index('>', 1)]
print("When printed it looks like so:
".upper() + temp)
print("Raw string:
".upper() + repr(temp))<load_from_csv> | for c in features:
ss = StandardScaler()
alldata.loc[~alldata[c].isnull() ,c] = ss.fit_transform(alldata.loc[~alldata[c].isnull() ,c].values.reshape(-1,1))
alldata[c].fillna(alldata[c].mean() ,inplace=True ) | Home Credit Default Risk |
1,056,491 | data = pd.read_csv(
f"{main_dir}/Main_data.txt",
sep='
', names=['Name', 'P_Seq', 'Target'],
lineterminator='>',
index_col=False
)
for name, value in zip(['Name', 'P_seq', 'Target'], data.iloc[0]):
print(f"{name}: {repr(value)}
" )<load_from_csv> | train = alldata[:ntrainrows]
test = alldata[ntrainrows:] | Home Credit Default Risk |
1,056,491 | test =(
pd.read_csv(
f"{main_dir}/Test_data.txt",
sep='
', names=['Name', 'P_Seq'],
lineterminator='>', index_col=False)
.applymap(lambda x: x.rstrip('\r'))
)
for name, value in zip(['Name', 'P_seq', 'Target'], test.iloc[0]):
print(f"{name}: {repr(value)}
" )<load_from_csv> | traintargets = train.TARGET.values
train = UseGPFeatures(train)
test = UseGPFeatures(test)
train['TARGET'] = traintargets | Home Credit Default Risk |
1,056,491 | sample_sub = pd.read_csv(f"{main_dir}/Sample_Solution.csv")
sample_sub.head()<feature_engineering> | gc.enable() | Home Credit Default Risk |
1,056,491 | data['P_Main_Class'] = data.Name.str.extract(":(\w)")
data['P_Sub_Class'] = data.Name.str.extract(" (.+):\w")
data['Seq_len'] = data.P_Seq.apply(len)
data['Uniq_seq_Count'] = data.P_Seq.apply(lambda x: len(set(x)))
data['B_Site_Count'] = data.Target.str.count('1')
data['B_Site_percent'] = data['B_Site_Count'] / data['Seq_len']
data['Non_B_Site_Count'] = data['Seq_len'] - data['B_Site_Count']
data.head()<count_unique_values> | folds = KFold(n_splits=5, shuffle=True, random_state=42)
oof_preds = np.zeros(train.shape[0])
sub_preds = np.zeros(test.shape[0])
feats = [f for f in train.columns if f not in ['SK_ID_CURR','TARGET']] | Home Credit Default Risk |
1,056,491 | uniq = set()
for _, seq in data.P_Seq.iteritems() :
uniq |= set(seq)
print(uniq)
len(uniq )<categorify> | for n_fold,(trn_idx, val_idx)in enumerate(folds.split(train)) :
trn_x, trn_y = train[feats].iloc[trn_idx], train.iloc[trn_idx]['TARGET']
val_x, val_y = train[feats].iloc[val_idx], train.iloc[val_idx]['TARGET']
clf = LGBMClassifier(
n_estimators=4000,
learning_rate=0.03,
num_leaves=30,
colsample_bytree=.8,
subsample=.9,
max_depth=7,
reg_alpha=.1,
reg_lambda=.1,
min_split_gain=.01,
min_child_weight=100,
silent=-1,
verbose=-1,
)
clf.fit(trn_x, trn_y,
eval_set= [(trn_x, trn_y),(val_x, val_y)],
eval_metric='auc', verbose=100, early_stopping_rounds=100
)
oof_preds[val_idx] = clf.predict_proba(val_x, num_iteration=clf.best_iteration_)[:, 1]
sub_preds += clf.predict_proba(test[feats], num_iteration=clf.best_iteration_)[:, 1] / folds.n_splits
print('Fold %2d AUC : %.6f' %(n_fold + 1, roc_auc_score(val_y, oof_preds[val_idx])))
del clf, trn_x, trn_y, val_x, val_y
gc.collect() | Home Credit Default Risk |
1,056,491 | <categorify><EOS> | Submission = pd.DataFrame({ 'SK_ID_CURR': ID,'TARGET': sub_preds })
Submission.to_csv("hybrid.csv", index=False ) | Home Credit Default Risk |
1,030,120 | <SOS> metric: AUC Kaggle data source: home-credit-default-risk<feature_engineering> | pd.set_option('display.max_columns', None)
%matplotlib inline
color = sns.color_palette()
warnings.filterwarnings("ignore" ) | Home Credit Default Risk |
1,030,120 | temp = data.apply(lambda x: np.array(list(x[1])) [np.array(list(x[2])).astype(bool)], axis=1)
temp = temp.apply(pd.Series ).stack().reset_index(level=1, drop=True)
freq_occured = data.P_Seq.apply(lambda x: pd.Series(list(x)).value_counts() ).sum()
freq_bound = temp.value_counts()
freq = pd.merge(
pd.DataFrame(freq_occured ).reset_index().rename({"index": "Peptide", 0: "Occured"}, axis=1),
pd.DataFrame(freq_bound ).reset_index().rename({"index": "Peptide", 0: "Bound"}, axis=1),
on='Peptide'
)
freq['Percent'] = freq['Bound'] / freq['Occured'] * 100
freq.head()<prepare_output> | application_train = pd.read_csv('.. /input/application_train.csv')
application_test= pd.read_csv('.. /input/application_test.csv')
bureau = pd.read_csv('.. /input/bureau.csv')
bureau_balance = pd.read_csv('.. /input/bureau_balance.csv')
POS_CASH_balance = pd.read_csv('.. /input/POS_CASH_balance.csv')
credit_card_balance = pd.read_csv('.. /input/credit_card_balance.csv')
previous_application = pd.read_csv('.. /input/previous_application.csv')
installments_payments = pd.read_csv('.. /input/installments_payments.csv' ) | Home Credit Default Risk |
1,030,120 | sub = test['P_Seq'].apply(list ).explode().reset_index()
sub = sub.rename({'index': 'Seq_No', "P_Seq": 'Peptide'}, axis=1)
sub['Id'] = sub.index
sub = sub.iloc[:, [-1, 0, 1]]
sub.head()<data_type_conversions> | application_train = pd.read_csv('.. /input/application_train.csv')
application_test= pd.read_csv('.. /input/application_test.csv' ) | Home Credit Default Risk |
1,030,120 | sub["Expected"] = sub.groupby("Seq_No")['Id'].transform(lambda x:(np.random.random(len(x)) < 0.35 ).astype(int))
sub.head()<save_to_csv> | def feature_type_split(data, special_list=[]):
cat_list = []
dis_num_list = []
num_list = []
for i in data.columns.tolist() :
if data[i].dtype == 'object':
cat_list.append(i)
elif data[i].nunique() < 25:
dis_num_list.append(i)
elif i in special_list:
dis_num_list.append(i)
else:
num_list.append(i)
return cat_list, dis_num_list, num_list
cat_list, dis_num_list, num_list = feature_type_split(application_train, special_list=['AMT_REQ_CREDIT_BUREAU_YEAR'] ) | Home Credit Default Risk |
1,030,120 | sub[['Id', 'Expected']].to_csv("Naive_submission.csv", index=False )<categorify> | application_train['TERM'] = application_train.AMT_CREDIT / application_train.AMT_ANNUITY
application_test['TERM'] = application_test.AMT_CREDIT / application_test.AMT_ANNUITY | Home Credit Default Risk |
1,030,120 | mapper = dict(zip(freq.Peptide, freq.Percent))
print(mapper )<data_type_conversions> | application_train['OVER_EXPECT_CREDIT'] =(application_train.AMT_CREDIT > application_train.AMT_GOODS_PRICE ).map({False:0, True:1})
application_test['OVER_EXPECT_CREDIT'] =(application_test.AMT_CREDIT > application_test.AMT_GOODS_PRICE ).map({False:0, True:1} ) | Home Credit Default Risk |
1,030,120 | sub['Expected'] =(
sub.Peptide.map(mapper)/ 100
> sub.groupby('Peptide')['Id'].transform(lambda x: np.random.random(len(x)))
).astype(int )<categorify> | application_train['MEAN_BUILDING_SCORE_AVG'] = application_train.iloc[:, 44:58].mean(skipna=True, axis=1)
application_train['TOTAL_BUILDING_SCORE_AVG'] = application_train.iloc[:, 44:58].sum(skipna=True, axis=1)
application_test['MEAN_BUILDING_SCORE_AVG'] = application_test.iloc[:, 44:58].mean(skipna=True, axis=1)
application_test['TOTAL_BUILDING_SCORE_AVG'] = application_test.iloc[:, 44:58].sum(skipna=True, axis=1 ) | Home Credit Default Risk |
1,030,120 | temp = np.random.choice(list(mapper.keys()))
mapper[temp] / 100, sub.loc[sub.Peptide == temp, 'Expected'].mean()<save_to_csv> | application_train['FLAG_DOCUMENT_TOTAL'] = application_train.iloc[:, 96:116].sum(axis=1)
application_test['FLAG_DOCUMENT_TOTAL'] = application_test.iloc[:, 96:116].sum(axis=1 ) | Home Credit Default Risk |
1,030,120 | sub[['Id', 'Expected']].to_csv("Peptide_Based_Fprediction.csv", index=False )<categorify> | application_train['AMT_REQ_CREDIT_BUREAU_TOTAL'] = application_train.iloc[:, 116:122].sum(axis=1)
application_test['AMT_REQ_CREDIT_BUREAU_TOTAL'] = application_test.iloc[:, 116:122].sum(axis=1 ) | Home Credit Default Risk |
1,030,120 | Y = data.Target.apply(list ).explode().values.astype(int)
y_hat_naive =(np.random.random(len(Y)) < 0.35 ).astype(int)
y_hat_freq_based =(
data.P_Seq.apply(list ).explode().reset_index(drop=True ).map(mapper)/ 100
>
(data.P_Seq.apply(list ).explode().to_frame().reset_index().groupby("P_Seq")
.transform(lambda x: np.random.random(len(x)))['index'])
).astype(int)
print("Our estimates on TRAINING DATA:")
print("
\tNaive model accuracy score: {:12.2f}
\tNaive model ROC score: {:17.2f}"
.format(
accuracy_score(Y, y_hat_naive),
roc_auc_score(Y, y_hat_naive))
)
print("
\tNuanced Naive model accuracy score: {:.2f}
\tNuanced Naive model ROC score: {:9.2f}"
.format(
accuracy_score(Y, y_hat_freq_based),
roc_auc_score(Y, y_hat_freq_based))
)<data_type_conversions> | application_train['BIRTH_EMPLOTED_INTERVEL'] = application_train.DAYS_EMPLOYED - application_train.DAYS_BIRTH
application_test['BIRTH_EMPLOTED_INTERVEL'] = application_test.DAYS_EMPLOYED - application_test.DAYS_BIRTH | Home Credit Default Risk |
1,030,120 | flat_data = pd.DataFrame({
"P_Seq": data.P_Seq.apply(list ).explode() ,
"Target": data.Target.apply(list ).explode().astype(int)
})
flat_data.head()<choose_model_class> | application_train['BIRTH_REGISTRATION_INTERVEL'] = application_train.DAYS_REGISTRATION - application_train.DAYS_BIRTH
application_test['BIRTH_REGISTRATION_INTERVEL'] = application_test.DAYS_REGISTRATION - application_test.DAYS_BIRTH | Home Credit Default Risk |
1,030,120 | tf.keras.backend.clear_session()
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Input(shape=(len(peptide_mapper),)))
model.add(tf.keras.layers.Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=tf.keras.metrics.AUC())
model.summary()<train_model> | application_train['MEAN_BUILDING_SCORE_AVG'] = application_train.iloc[:, 44:58].mean(skipna=True, axis=1)
application_train['TOTAL_BUILDING_SCORE_AVG'] = application_train.iloc[:, 44:58].sum(skipna=True, axis=1)
application_test['MEAN_BUILDING_SCORE_AVG'] = application_test.iloc[:, 44:58].mean(skipna=True, axis=1)
application_test['TOTAL_BUILDING_SCORE_AVG'] = application_test.iloc[:, 44:58].sum(skipna=True, axis=1)
application_train['INCOME_PER_FAMILY_MEMBER'] = application_train.AMT_INCOME_TOTAL / application_train.CNT_FAM_MEMBERS
application_test['INCOME_PER_FAMILY_MEMBER'] = application_test.AMT_INCOME_TOTAL / application_test.CNT_FAM_MEMBERS
application_train['SEASON_REMAINING'] = application_train.AMT_INCOME_TOTAL/4 - application_train.AMT_ANNUITY
application_test['SEASON_REMAINING'] = application_test.AMT_INCOME_TOTAL/4 - application_test.AMT_ANNUITY
application_train['RATIO_INCOME_GOODS'] = application_train.AMT_INCOME_TOTAL - application_train.AMT_GOODS_PRICE
application_test['RATIO_INCOME_GOODS'] = application_test.AMT_INCOME_TOTAL - application_test.AMT_GOODS_PRICE
application_train['CHILDREN_RATIO'] = application_train['CNT_CHILDREN'] / application_train['CNT_FAM_MEMBERS']
application_test['CHILDREN_RATIO'] = application_test['CNT_CHILDREN'] / application_test['CNT_FAM_MEMBERS']
def label_encoder(input_df, encoder_dict=None):
categorical_feats = input_df.columns[input_df.dtypes == 'object']
for feat in categorical_feats:
encoder = LabelEncoder()
input_df[feat] = encoder.fit_transform(input_df[feat].fillna('NULL'))
return input_df, categorical_feats.tolist() , encoder_dict
application_train, categorical_feats, encoder_dict = label_encoder(application_train)
application_test, categorical_feats, encoder_dict = label_encoder(application_test ) | Home Credit Default Risk |
1,030,120 | hist = model.fit(
tf.one_hot(flat_data.P_Seq.map(peptide_mapper), depth=20),
flat_data.Target,
validation_split=0.2,
callbacks=tf.keras.callbacks.EarlyStopping(patience=10),
epochs=100,
verbose=0)
print("Train Best ROC_AUC Score: {:.2f}".format(hist.history['auc'][-1]))
print("Val Best ROC_AUC Score: {:6.2f}".format(hist.history['val_auc'][-1]))
pd.DataFrame(hist.history ).iloc[:, [1, 3]].plot(figsize=(20, 5), title='Model Performance');<predict_on_test> | import lightgbm as lgb
from lightgbm import LGBMClassifier
from sklearn.metrics import roc_auc_score
from sklearn.model_selection import StratifiedKFold | Home Credit Default Risk |
1,030,120 | sub['Expected'] =(
model.predict(tf.one_hot(
sub.Peptide.map(peptide_mapper),
depth=len(peptide_mapper)))
)<save_to_csv> | X = application_train.drop(['SK_ID_CURR', 'TARGET'], axis=1)
y = application_train.TARGET
X_pred = application_test.drop(['SK_ID_CURR'], axis=1 ) | Home Credit Default Risk |
1,030,120 | sub[['Id', 'Expected']].to_csv("Linear_model_one_hot.csv", index=False )<categorify> | folds = StratifiedKFold(n_splits=5,random_state=6)
oof_preds = np.zeros(X.shape[0])
sub_preds = np.zeros(X_pred.shape[0] ) | Home Credit Default Risk |
1,030,120 | flat_data['Percent'] = flat_data.P_Seq.map(mapper ).astype(float)/ 100
flat_data = flat_data.merge(data.iloc[:, 3:7], right_index=True, left_index=True)
flat_data['Position'] = flat_data.groupby(flat_data.index)['P_Seq'].transform(lambda x: np.arange(len(x)) / len(x))
flat_data.head()<feature_engineering> | start = time.time()
valid_score = 0
for n_fold,(trn_idx, val_idx)in enumerate(folds.split(X, y)) :
trn_x, trn_y = X.iloc[trn_idx], y[trn_idx]
val_x, val_y = X.iloc[val_idx], y[val_idx]
train_data = lgb.Dataset(data=trn_x, label=trn_y,categorical_feature=categorical_feats)
valid_data = lgb.Dataset(data=val_x, label=val_y)
param = {'application':'binary','num_iterations':4000, 'learning_rate':0.05, 'num_leaves':24, 'feature_fraction':0.8, 'bagging_fraction':0.9,
'lambda_l1':0.1, 'lambda_l2':0.1, 'min_split_gain':0.01, 'early_stopping_round':100, 'max_depth':7, 'min_child_weight':40, 'metric':'auc'}
lgb_es_model = lgb.train(param, train_data, valid_sets=[train_data, valid_data], verbose_eval=100, categorical_feature=categorical_feats)
oof_preds[val_idx] = lgb_es_model.predict(val_x, num_iteration=lgb_es_model.best_iteration)
sub_preds += lgb_es_model.predict(X_pred, num_iteration=lgb_es_model.best_iteration)/ folds.n_splits
print('Fold %2d AUC : %.6f' %(n_fold + 1, roc_auc_score(val_y, oof_preds[val_idx])))
valid_score += roc_auc_score(val_y, oof_preds[val_idx])
print('valid score:', str(round(valid_score/folds.n_splits,4)))
end = time.time()
print('training time:', str(round(( end - start)/60)) , 'mins' ) | Home Credit Default Risk |
1,030,120 | <categorify><EOS> | application_test= pd.read_csv('.. /input/application_test.csv')
output = pd.DataFrame({'SK_ID_CURR':application_test.SK_ID_CURR, 'TARGET': sub_preds})
output.to_csv('only_application_pred.csv', index=False ) | Home Credit Default Risk |
1,020,569 | <SOS> metric: AUC Kaggle data source: home-credit-default-risk<choose_model_class> | import gc
import numpy as np
import pandas as pd
from sklearn.model_selection import KFold
from sklearn.preprocessing import StandardScaler | Home Credit Default Risk |
1,020,569 | tf.keras.backend.clear_session()
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Input(shape=(shape,)))
model.add(tf.keras.layers.Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=tf.keras.metrics.AUC())
hist = model.fit(
process_flat_df(flat_data.drop("Target", 1),
ohc=[('P_Sub_Class', len(psc_mapper)) ]
),
flat_data.Target,
validation_split=0.2,
callbacks=tf.keras.callbacks.EarlyStopping(patience=10),
epochs=100,
verbose=0)
print("Train Best ROC_AUC Score: {:.2f}".format(hist.history['auc'][-1]))
print("Val Best ROC_AUC Score: {:6.2f}".format(hist.history['val_auc'][-1]))
pd.DataFrame(hist.history ).iloc[:, [1, 3]].plot(figsize=(20, 5), title='Model Performance');<predict_on_test> | def add_noise(series, noise_level):
return series *(1 + noise_level * np.random.randn(len(series)))
def target_encode(trn_series=None,
tst_series=None,
target=None,
min_samples_leaf=1,
smoothing=1,
noise_level=0):
assert len(trn_series)== len(target)
assert trn_series.name == tst_series.name
temp = pd.concat([trn_series, target], axis=1)
averages = temp.groupby(by=trn_series.name)[target.name].agg(["mean", "count"])
smoothing = 1 /(1 + np.exp(-(averages["count"] - min_samples_leaf)/ smoothing))
prior = target.mean()
averages[target.name] = prior *(1 - smoothing)+ averages["mean"] * smoothing
averages.drop(["mean", "count"], axis=1, inplace=True)
ft_trn_series = pd.merge(
trn_series.to_frame(trn_series.name),
averages.reset_index().rename(columns={'index': target.name, target.name: 'average'}),
on=trn_series.name,
how='left')['average'].rename(trn_series.name + '_mean' ).fillna(prior)
ft_trn_series.index = trn_series.index
ft_tst_series = pd.merge(
tst_series.to_frame(tst_series.name),
averages.reset_index().rename(columns={'index': target.name, target.name: 'average'}),
on=tst_series.name,
how='left')['average'].rename(trn_series.name + '_mean' ).fillna(prior)
ft_tst_series.index = tst_series.index
return add_noise(ft_trn_series, noise_level), add_noise(ft_tst_series, noise_level ) | Home Credit Default Risk |
1,020,569 | predictions = model.predict(
process_flat_df(
sub.drop(['Id'], axis=1),
ohc=[('P_Sub_Class', len(psc_mapper)) ])
)
sub['Expected'] = predictions
sub.head()<save_to_csv> | gc.enable()
buro_bal = pd.read_csv('.. /input/bureau_balance.csv')
print('Buro bal shape : ', buro_bal.shape)
print('transform to dummies')
buro_bal = pd.concat([buro_bal, pd.get_dummies(buro_bal.STATUS, prefix='buro_bal_status')], axis=1 ).drop('STATUS', axis=1)
print('Counting buros')
buro_counts = buro_bal[['SK_ID_BUREAU', 'MONTHS_BALANCE']].groupby('SK_ID_BUREAU' ).count()
buro_bal['buro_count'] = buro_bal['SK_ID_BUREAU'].map(buro_counts['MONTHS_BALANCE'])
print('averaging buro bal')
avg_buro_bal = buro_bal.groupby('SK_ID_BUREAU' ).mean()
avg_buro_bal.columns = ['avg_buro_' + f_ for f_ in avg_buro_bal.columns]
del buro_bal
gc.collect()
print('Read Bureau')
buro = pd.read_csv('.. /input/bureau.csv')
print('Go to dummies')
buro_credit_active_dum = pd.get_dummies(buro.CREDIT_ACTIVE, prefix='ca_')
buro_credit_currency_dum = pd.get_dummies(buro.CREDIT_CURRENCY, prefix='cu_')
buro_credit_type_dum = pd.get_dummies(buro.CREDIT_TYPE, prefix='ty_')
buro_full = pd.concat([buro, buro_credit_active_dum, buro_credit_currency_dum, buro_credit_type_dum], axis=1)
del buro_credit_active_dum, buro_credit_currency_dum, buro_credit_type_dum
gc.collect()
print('Merge with buro avg')
buro_full = buro_full.merge(right=avg_buro_bal.reset_index() , how='left', on='SK_ID_BUREAU', suffixes=('', '_bur_bal'))
print('Counting buro per SK_ID_CURR')
nb_bureau_per_curr = buro_full[['SK_ID_CURR', 'SK_ID_BUREAU']].groupby('SK_ID_CURR' ).count()
buro_full['SK_ID_BUREAU'] = buro_full['SK_ID_CURR'].map(nb_bureau_per_curr['SK_ID_BUREAU'])
print('Averaging bureau')
avg_buro = buro_full.groupby('SK_ID_CURR' ).mean()
print(avg_buro.head())
del buro, buro_full
gc.collect()
print('Read prev')
prev = pd.read_csv('.. /input/previous_application.csv')
prev_cat_features = [
f_ for f_ in prev.columns if prev[f_].dtype == 'object'
]
print('Go to dummies')
prev_dum = pd.DataFrame()
for f_ in prev_cat_features:
prev_dum = pd.concat([prev_dum, pd.get_dummies(prev[f_], prefix=f_ ).astype(np.uint8)], axis=1)
prev = pd.concat([prev, prev_dum], axis=1)
del prev_dum
gc.collect()
print('Counting number of Prevs')
nb_prev_per_curr = prev[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
prev['SK_ID_PREV'] = prev['SK_ID_CURR'].map(nb_prev_per_curr['SK_ID_PREV'])
print('Averaging prev')
avg_prev = prev.groupby('SK_ID_CURR' ).mean()
print(avg_prev.head())
del prev
gc.collect()
print('Reading POS_CASH')
pos = pd.read_csv('.. /input/POS_CASH_balance.csv')
print('Go to dummies')
pos = pd.concat([pos, pd.get_dummies(pos['NAME_CONTRACT_STATUS'])], axis=1)
print('Compute nb of prevs per curr')
nb_prevs = pos[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
pos['SK_ID_PREV'] = pos['SK_ID_CURR'].map(nb_prevs['SK_ID_PREV'])
print('Go to averages')
avg_pos = pos.groupby('SK_ID_CURR' ).mean()
del pos, nb_prevs
gc.collect()
print('Reading CC balance')
cc_bal = pd.read_csv('.. /input/credit_card_balance.csv')
print('Go to dummies')
cc_bal = pd.concat([cc_bal, pd.get_dummies(cc_bal['NAME_CONTRACT_STATUS'], prefix='cc_bal_status_')], axis=1)
nb_prevs = cc_bal[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
cc_bal['SK_ID_PREV'] = cc_bal['SK_ID_CURR'].map(nb_prevs['SK_ID_PREV'])
print('Compute average')
avg_cc_bal = cc_bal.groupby('SK_ID_CURR' ).mean()
avg_cc_bal.columns = ['cc_bal_' + f_ for f_ in avg_cc_bal.columns]
del cc_bal, nb_prevs
gc.collect()
print('Reading Installments')
inst = pd.read_csv('.. /input/installments_payments.csv')
nb_prevs = inst[['SK_ID_CURR', 'SK_ID_PREV']].groupby('SK_ID_CURR' ).count()
inst['SK_ID_PREV'] = inst['SK_ID_CURR'].map(nb_prevs['SK_ID_PREV'])
avg_inst = inst.groupby('SK_ID_CURR' ).mean()
avg_inst.columns = ['inst_' + f_ for f_ in avg_inst.columns]
print('Read data and test')
data = pd.read_csv('.. /input/application_train.csv')
test = pd.read_csv('.. /input/application_test.csv')
print('Shapes : ', data.shape, test.shape)
print('Read data and test')
train = pd.read_csv('.. /input/application_train.csv')
test = pd.read_csv('.. /input/application_test.csv')
print('Shapes : ', train.shape, train.shape)
categorical_feats = [
f for f in data.columns if data[f].dtype == 'object'
]
categorical_feats
for f_ in categorical_feats:
train[f_], indexer = pd.factorize(train[f_])
test[f_] = indexer.get_indexer(test[f_])
train = train.merge(right=avg_buro.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_buro.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_prev.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_prev.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_pos.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_pos.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_cc_bal.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_cc_bal.reset_index() , how='left', on='SK_ID_CURR')
train = train.merge(right=avg_inst.reset_index() , how='left', on='SK_ID_CURR')
test = test.merge(right=avg_inst.reset_index() , how='left', on='SK_ID_CURR')
del avg_buro, avg_prev
gc.collect()
ID = test.SK_ID_CURR
train.columns = train.columns.str.replace('[^A-Za-z0-9_]', '_')
test.columns = test.columns.str.replace('[^A-Za-z0-9_]', '_' ) | Home Credit Default Risk |
1,020,569 | sub[['Id', 'Expected']].to_csv("Linear_model_with_meta.csv", index=False )<categorify> | floattypes = []
inttypes = []
stringtypes = []
for c in test.columns:
if(train[c].dtype=='object'):
train[c] = train[c].astype('str')
stringtypes.append(c)
elif(train[c].dtype=='int64'):
train[c] = train[c].astype('int32')
inttypes.append(c)
else:
train[c] = train[c].astype('float32')
floattypes.append(c ) | Home Credit Default Risk |
1,020,569 | def get_freq(series, min_thresh=0.65, fit=False):
'Returns a 20 * n matrix containing frequencies for each sequence'
global cnt
if fit:
cnt = CountVectorizer(analyzer='char', ngram_range=(1, 2), min_df=min_thresh, lowercase=False)
return pd.DataFrame(cnt.fit_transform(series ).todense() , columns=cnt.get_feature_names())
else:
return pd.DataFrame(cnt.transform(series ).todense() , columns=cnt.get_feature_names())
<categorify> | kf = KFold(n_splits=5, shuffle=True, random_state=42)
for col in stringtypes:
train['te_'+col] = 0.
test['te_'+col] = 0.
SMOOTHING = test[~test[col].isin(train[col])].shape[0]/test.shape[0]
_, test['te_'+col] = target_encode(train[col],
test[col],
target=train['TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0)
for f,(vis_index, blind_index)in enumerate(kf.split(train)) :
_, train.loc[blind_index, 'te_'+col] = target_encode(train.loc[vis_index, col],
train.loc[blind_index, col],
target=train.loc[vis_index,'TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0 ) | Home Credit Default Risk |
1,020,569 | dc=[
'P_Sub_Class',
]
ohc=[
('P_Sub_Class', len(psc_mapper)) ,
]
temp = process_flat_df(
flat_data.drop("Target", 1),
ohc=ohc,
dc=dc,
pep_freq=(data.P_Seq, True),
as_df=True
).head(3)
shape = temp.shape[1]
temp<choose_model_class> | kf = KFold(n_splits=5, shuffle=True, random_state=42)
for col in inttypes:
train['te_'+col] = 0.
test['te_'+col] = 0.
SMOOTHING = test[~test[col].isin(train[col])].shape[0]/test.shape[0]
_, test['te_'+col] = target_encode(train[col],
test[col],
target=train['TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0)
for f,(vis_index, blind_index)in enumerate(kf.split(train.index)) :
_, train.loc[blind_index, 'te_'+col] = target_encode(train.loc[vis_index, col],
train.loc[blind_index, col],
target=train.loc[vis_index,'TARGET'],
min_samples_leaf=100,
smoothing=SMOOTHING,
noise_level=0.0)
| Home Credit Default Risk |
1,020,569 | tf.keras.backend.clear_session()
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Input(shape=(shape,)))
model.add(tf.keras.layers.Dense(units=1, activation='sigmoid'))
model.compile(loss='binary_crossentropy',
optimizer=tf.keras.optimizers.Adam(0.0025),
metrics=tf.keras.metrics.AUC())
hist = model.fit(
process_flat_df(
flat_data.drop("Target", 1),
ohc=ohc,
dc=dc,
pep_freq=(data.P_Seq, True)
),
flat_data.Target,
batch_size=128,
validation_split=0.2,
callbacks=[
tf.keras.callbacks.EarlyStopping(patience=8, monitor='val_auc', mode='max'),
tf.keras.callbacks.ReduceLROnPlateau(monitor='val_auc', patience=5, factor=0.5, mode='max')],
epochs=100,
verbose=0)
print("Train Best ROC_AUC Score: {:.2f}".format(hist.history['auc'][-1]))
print("Val Best ROC_AUC Score: {:6.2f}".format(hist.history['val_auc'][-1]))
pd.DataFrame(hist.history ).iloc[:, [1, 3]].plot(figsize=(20, 5), title='Model Performance');<predict_on_test> | test.insert(1,'TARGET',-1)
alldata = pd.concat([train,test])
del train ,test
gc.collect() | Home Credit Default Risk |
1,020,569 | predictions = model.predict(
process_flat_df(
sub.drop(["Expected", "Id"], 1),
ohc=ohc,
dc=dc,
pep_freq=(test.P_Seq, False)) ,
)
sub['Expected'] = predictions
sub.head(3 )<save_to_csv> | alldata[features] = alldata[features].astype('float32' ) | Home Credit Default Risk |
1,020,569 | sub[['Id', 'Expected']].to_csv("Linear_model_with_Seq_freq.csv", index=False )<categorify> | alldata['nans'] = alldata.isnull().sum(axis=1 ) | Home Credit Default Risk |
1,020,569 | SHIFT = 2
dc=[
'P_Main_Class',
'Uniq_seq_Count',
]
ohc=[
]
temp = process_flat_df(
flat_data.drop("Target", 1),
ohc=ohc,
dc=dc,
pep_freq=(data.P_Seq, True),
seq_shift=SHIFT,
as_df=True
).head(5)
shape = temp.shape[1]
print("The number of columns in data that would be fit to our model is:", shape)
temp.iloc[:3, 29:29+21]<categorify> | for col in inttypes[1:]:
x = alldata[col].value_counts().reset_index(drop=False)
x.columns = [col,'cnt_'+col]
x['cnt_'+col]/=alldata.shape[0]
alldata = alldata.merge(x,on=col,how='left' ) | Home Credit Default Risk |
1,020,569 | flat_data['P_Seq'].head(5 ).map(peptide_mapper ).values<choose_model_class> | for c in features:
ss = StandardScaler()
alldata.loc[~alldata[c].isnull() ,c] = ss.fit_transform(alldata.loc[~alldata[c].isnull() ,c].values.reshape(-1,1))
alldata[c].fillna(alldata[c].mean() ,inplace=True ) | Home Credit Default Risk |
1,020,569 | SHIFT = 3
tf.keras.backend.clear_session()
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Input(shape=(shape,)))
model.add(tf.keras.layers.Dropout(0.1))
model.add(tf.keras.layers.Dense(units=1, activation='sigmoid'))
model.compile(loss='binary_crossentropy',
optimizer=tf.keras.optimizers.Adam(0.005),
metrics=tf.keras.metrics.AUC())
hist = model.fit(
process_flat_df(
flat_data.drop("Target", 1),
ohc=ohc,
dc=dc,
pep_freq=(data.P_Seq, True),
seq_shift=SHIFT),
flat_data.Target,
validation_split=0.25,
batch_size=128,
callbacks=[
tf.keras.callbacks.EarlyStopping(patience=10, monitor='val_auc', mode='max'),
tf.keras.callbacks.ReduceLROnPlateau(monitor='val_auc', patience=5, factor=0.25, mode='max')],
epochs=100,
verbose=0)
print("Train Best ROC_AUC Score: {:.2f}".format(hist.history['auc'][-1]))
print("Val Best ROC_AUC Score: {:6.2f}".format(hist.history['val_auc'][-1]))
pd.DataFrame(hist.history ).iloc[:, [1, 3]].plot(figsize=(20, 5), title='Model Performance');<predict_on_test> | train = alldata[alldata.TARGET>-1]
test = alldata[alldata.TARGET==-1] | Home Credit Default Risk |
1,020,569 | predictions = model.predict(
process_flat_df(
sub.drop(["Expected", "Id"], 1),
ohc=ohc,
dc=dc,
pep_freq=(test.P_Seq, False)
),
)
sub['Expected'] = predictions
sub.head(3 )<save_to_csv> | def GPI(data):
return Output(0.100000*np.tanh(((((((((data["EXT_SOURCE_3"])* 2.0)) -(((data["te_OCCUPATION_TYPE"])-(((((( data["EXT_SOURCE_1"])>(data["DAYS_CREDIT"])) *1.))+(data["EXT_SOURCE_2"])))))))*(-2.0)))-(data["EXT_SOURCE_2"])))+
0.100000*np.tanh(((((((((data["te_OCCUPATION_TYPE"])-(data["EXT_SOURCE_3"])))+(( -1.0*(((( data["EXT_SOURCE_1"])* 2.0)))))))-(data["EXT_SOURCE_3"])))-(((data["EXT_SOURCE_3"])+(((data["EXT_SOURCE_2"])* 2.0)))))) +
0.100000*np.tanh(((((((2.0)*(((((((( data["EXT_SOURCE_1"])+(data["EXT_SOURCE_2"])) /2.0)) *(-2.0)))-(data["EXT_SOURCE_3"])))))* 2.0)) * 2.0)) +
0.100000*np.tanh(((data["te_OCCUPATION_TYPE"])+(((( -1.0*(( 2.0)))) *(((((data["EXT_SOURCE_2"])+(data["ca__Closed"])))+(((data["CODE_REJECT_REASON_XAP"])+(data["EXT_SOURCE_1"])))))))))+
0.100000*np.tanh(((((((((((((data["te_ORGANIZATION_TYPE"])+(( -1.0*(((( data["EXT_SOURCE_3"])* 2.0)))))))* 2.0)) +(data["NAME_CONTRACT_STATUS_Refused"])))-(((data["EXT_SOURCE_1"])* 2.0)))) -(data["EXT_SOURCE_1"])))* 2.0)) +
0.100000*np.tanh(((((np.where(data["EXT_SOURCE_3"]>0, -2.0,(((((( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])-(data["EXT_SOURCE_2"])))-(data["EXT_SOURCE_3"])))* 2.0)))-(data["EXT_SOURCE_2"])))* 2.0)) +
0.100000*np.tanh(((((data["NAME_CONTRACT_STATUS_Refused"])+(((-1.0)-(np.minimum(((data["EXT_SOURCE_2"])) ,(( data["EXT_SOURCE_2"])))))))) -(((((data["EXT_SOURCE_3"])-(np.tanh(( data["te_OCCUPATION_TYPE"])))))-(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))+
0.100000*np.tanh(((data["NAME_PRODUCT_TYPE_walk_in"])+(((data["te_NAME_EDUCATION_TYPE"])+(( -1.0*(((( data["EXT_SOURCE_1"])+(((data["EXT_SOURCE_3"])-(((np.minimum(((data["te_ORGANIZATION_TYPE"])) ,(( data["te_NAME_EDUCATION_TYPE"])))) -(data["EXT_SOURCE_2"])))))))))))))) +
0.100000*np.tanh(((((-1.0)-(data["EXT_SOURCE_2"])))+(((data["cc_bal_AMT_BALANCE"])-(((( -1.0*(( data["cc_bal_AMT_BALANCE"])))) -(np.minimum(((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])-(data["EXT_SOURCE_3"])))) ,(( 3.0)))))))))) +
0.100000*np.tanh(((((((data["te_REGION_RATING_CLIENT_W_CITY"])+(((data["te_CODE_GENDER"])+(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))* 2.0)) -(((data["EXT_SOURCE_2"])+(data["EXT_SOURCE_3"])))))+
0.100000*np.tanh(((data["cnt_FLAG_DOCUMENT_3"])-(((np.where(data["EXT_SOURCE_1"]>0, 3.0, data["EXT_SOURCE_2"])) +(((np.maximum(((data["DAYS_FIRST_DRAWING"])) ,(( data["DAYS_FIRST_DRAWING"])))) -(data["cnt_FLAG_DOCUMENT_3"])))))))+
0.100000*np.tanh(((((data["te_NAME_EDUCATION_TYPE"])-(data["EXT_SOURCE_3"])))+(((((np.minimum(((3.0)) ,(( data["NAME_PRODUCT_TYPE_walk_in"])))) +(((data["ty__Microloan"])* 2.0)))) +(data["CNT_INSTALMENT_FUTURE"])))))+
0.100000*np.tanh(((((((data["DEF_30_CNT_SOCIAL_CIRCLE"])-(((( data["EXT_SOURCE_2"])>(data["cnt_FLAG_OWN_CAR"])) *1.))))+(((data["cc_bal_CNT_DRAWINGS_CURRENT"])+(((((data["cc_bal_CNT_DRAWINGS_CURRENT"])* 2.0)) -(data["SK_ID_PREV_y"])))))))-(data["SK_ID_PREV_y"])))+
0.100000*np.tanh(((((((data["te_ORGANIZATION_TYPE"])+(((data["NAME_YIELD_GROUP_high"])+(((((data["te_REG_CITY_NOT_LIVE_CITY"])+(data["CNT_PAYMENT"])))* 2.0)))))) -(data["EXT_SOURCE_2"])))+(((data["CNT_PAYMENT"])+(data["NAME_YIELD_GROUP_high"])))))+
0.100000*np.tanh(((data["cnt_FLAG_OWN_CAR"])-(((np.where(data["cnt_NAME_CONTRACT_TYPE"]>0,(-1.0*(((( data["ty__Microloan"])-(((data["DAYS_FIRST_DRAWING"])+(data["AMT_ANNUITY"]))))))), np.tanh(( 1.0)))) * 2.0)))) +
0.100000*np.tanh(((((((((((data["ty__Microloan"])-(data["EXT_SOURCE_1"])))-(data["EXT_SOURCE_1"])))-(data["cnt_CODE_GENDER"])))+(((((( data["CODE_REJECT_REASON_SCOFR"])+(data["ty__Microloan"])) /2.0)) +(data["DAYS_ID_PUBLISH"])))))* 2.0)) +
0.100000*np.tanh(((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])-(data["cnt_NAME_FAMILY_STATUS"])))+(((np.where(0.0>0, -1.0,(((( data["cnt_NAME_CONTRACT_TYPE"])+(data["CNT_INSTALMENT_FUTURE"])))+(data["avg_buro_buro_bal_status_1"])))) +(data["ty__Microloan"])))))+
0.100000*np.tanh(((((((np.maximum(((data["NAME_CLIENT_TYPE_New"])) ,(( data["DEF_30_CNT_SOCIAL_CIRCLE"])))) +(( -1.0*(( data["RATE_DOWN_PAYMENT"])))))) -(((data["SK_ID_PREV_y"])-(((((data["DEF_60_CNT_SOCIAL_CIRCLE"])* 2.0)) -(data["NAME_YIELD_GROUP_low_action"])))))))* 2.0)) +
0.100000*np.tanh(((data["te_WALLSMATERIAL_MODE"])+(((( data["NAME_CONTRACT_STATUS_Refused"])+(((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])+(((( 2.0)+(np.minimum(((1.0)) ,(((( data["AMT_ANNUITY_x"])*(( 11.28408813476562500)))))))) /2.0)))))/2.0)))) +
0.100000*np.tanh(((((((((((( data["CNT_PAYMENT"])-(data["NAME_SELLER_INDUSTRY_Furniture"])))-(data["AMT_ANNUITY"])))+(((data["CNT_PAYMENT"])-(data["AMT_ANNUITY"])))))+(data["cnt_FLAG_OWN_CAR"])) /2.0)) -(data["PRODUCT_COMBINATION_POS_industry_with_interest"])))+
0.100000*np.tanh(((((((((((data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])+(np.tanh(((( data["ty__Microloan"])* 2.0)))))) * 2.0)) * 2.0)) * 2.0)) +(((( 1.0)) -(((( -1.0*(( data["ty__Microloan"])))) * 2.0)))))) +
0.100000*np.tanh(( -1.0*(((((( data["CODE_GENDER"])+(data["PRODUCT_COMBINATION_Cash_X_Sell__low"])))-(((data["te_ORGANIZATION_TYPE"])+(((data["SK_DPD"])-(((((data["OWN_CAR_AGE"])* 2.0)) *(( -1.0*(( 3.0)))))))))))))))+
0.100000*np.tanh(((((( data["CNT_INSTALMENT_FUTURE"])*(((((np.minimum(((data["CNT_INSTALMENT_FUTURE"])) ,(( data["CNT_INSTALMENT_FUTURE"])))) * 2.0)) / 2.0)))) +(np.where(data["ty__Mortgage"]>0, -3.0, data["cnt_NAME_EDUCATION_TYPE"])))/2.0)) +
0.100000*np.tanh(((( data["DAYS_LAST_PHONE_CHANGE"])+(((((data["avg_buro_buro_bal_status_1"])+(np.tanh(((( -3.0)-(((data["EXT_SOURCE_3"])* 2.0)))))))) -(data["CHANNEL_TYPE_Channel_of_corporate_sales"])))) /2.0)) +
0.100000*np.tanh(((((( -1.0*(((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])+(data["NAME_YIELD_GROUP_low_action"])))))) -(((data["inst_NUM_INSTALMENT_VERSION"])-(((data["AMT_ANNUITY_x"])-(data["CHANNEL_TYPE_Channel_of_corporate_sales"])))))))+(( -1.0*(( data["NAME_YIELD_GROUP_low_action"])))))) +
0.100000*np.tanh(((((data["CNT_PAYMENT"])-(((( data["RATE_DOWN_PAYMENT"])+(((((data["RATE_DOWN_PAYMENT"])/ 2.0)) * 2.0)))/2.0)))) -(np.maximum(((data["NAME_YIELD_GROUP_low_normal"])) ,(( np.maximum(((data["ty__Mortgage"])) ,(( data["PRODUCT_COMBINATION_Cash_Street__low"])))))))))+
0.100000*np.tanh(((((((data["ty__Microloan"])-(data["inst_AMT_PAYMENT"])))+(((((((((data["cnt_DAYS_BIRTH"])+(data["cnt_FLAG_DOCUMENT_18"])) /2.0)) +(data["CODE_REJECT_REASON_SCOFR"])))+(data["ty__Microloan"])) /2.0)))) * 2.0)) +
0.100000*np.tanh(((((((((((data["cnt_ORGANIZATION_TYPE"])+(data["SK_DPD"])) /2.0)) +(((data["SK_DPD"])+(( -1.0*(( data["cnt_FLAG_DOCUMENT_6"])))))))) +(data["SK_DPD"])))+(np.maximum(((data["FLAG_DOCUMENT_6"])) ,(( data["CNT_INSTALMENT_FUTURE"])))))/2.0)) +
0.100000*np.tanh(np.where(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"]>0, np.minimum(((-2.0)) ,(( data["Active"]))),(((data["CODE_REJECT_REASON_HC"])+(np.maximum(((((((data["NAME_GOODS_CATEGORY_Mobile"])+(data["DAYS_REGISTRATION"])))-(data["inst_SK_ID_PREV"])))) ,(( data["NAME_SELLER_INDUSTRY_Connectivity"])))))/2.0)))+
0.100000*np.tanh(((( data["cnt_WEEKDAY_APPR_PROCESS_START"])+(((-3.0)*(np.maximum(((data["AMT_CREDIT_SUM_LIMIT"])) ,(( np.maximum(((((data["FLAG_DOCUMENT_16"])-(data["AMT_CREDIT_SUM_LIMIT"])))) ,(( data["CHANNEL_TYPE_Channel_of_corporate_sales"])))))))))) /2.0)) +
0.099961*np.tanh(np.where(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"]>0,(( np.tanh(( data["NAME_PAYMENT_TYPE_XNA"])))+(data["CHANNEL_TYPE_AP___Cash_loan_"])) ,(((((((( data["SK_DPD"])+(data["NAME_PAYMENT_TYPE_XNA"])) /2.0)) -(data["Active"])))+(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) /2.0)))+
0.100000*np.tanh(((( data["avg_buro_buro_bal_status_1"])+(((data["ca__Sold"])+(((((((( data["avg_buro_buro_bal_status_1"])+(data["REGION_RATING_CLIENT_W_CITY"])))-(data["ty__Mortgage"])))+(((data["NFLAG_INSURED_ON_APPROVAL"])+(data["DEF_60_CNT_SOCIAL_CIRCLE"])))) /2.0)))))/2.0)) +
0.094568*np.tanh(((((( data["NAME_CLIENT_TYPE_New"])-(np.maximum(((((-3.0)-(data["NAME_CLIENT_TYPE_New"])))) ,(((((data["FLAG_DOCUMENT_18"])+(data["PRODUCT_COMBINATION_Cash_X_Sell__low"])) /2.0)))))))+(( -1.0*(((( data["inst_NUM_INSTALMENT_VERSION"])/ 2.0)))))) /2.0)) +
0.099922*np.tanh(((np.maximum(((np.minimum(((2.0)) ,(((( np.minimum(((( 1.86563777923583984))),(( data["CNT_INSTALMENT_FUTURE"])))) -(data["MONTHS_BALANCE"]))))))),(( data["FLAG_DOCUMENT_2"])))) +(np.minimum(((data["NAME_GOODS_CATEGORY_XNA"])) ,(( 0.0)))))) +
0.100000*np.tanh(((( np.where(np.maximum(((data["AMT_ANNUITY_x"])) ,(( np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( data["AMT_ANNUITY_x"])))))) >0, 1.0, data["AMT_ANNUITY_x"])) +(np.where(data["te_NAME_FAMILY_STATUS"]>0,(( 2.0)/ 2.0), data["te_NAME_FAMILY_STATUS"])))/2.0)) +
0.100000*np.tanh(((( -1.0*(((-1.0*(((((np.minimum(((-1.0)) ,(( data["AMT_GOODS_PRICE_x"])))) >(((data["inst_AMT_PAYMENT"])* 2.0)))*1.))))))))-(((( data["AMT_GOODS_PRICE_x"])>(data["PRODUCT_COMBINATION_Cash_Street__low"])) *1.))))+
0.099961*np.tanh(((np.where(data["FLAG_DOCUMENT_16"]>0, data["cnt_FLAG_DOCUMENT_16"],(( np.minimum(((( 5.91657543182373047))),(( data["cnt_FLAG_DOCUMENT_16"])))) * 2.0)))-(((((( data["CODE_REJECT_REASON_SCO"])+(data["PRODUCT_COMBINATION_Cash_Street__low"])) /2.0)) / 2.0)))) +
0.100000*np.tanh(((((( data["cnt_FLAG_DOCUMENT_13"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+(((data["FLAG_DOCUMENT_2"])+(((data["NAME_GOODS_CATEGORY_Insurance"])+(np.tanh(((-1.0*(( data["te_FLAG_DOCUMENT_20"])))))))))))/2.0)) +
0.093396*np.tanh(( -1.0*(((( data["CHANNEL_TYPE_Channel_of_corporate_sales"])-(((((data["FLAG_WORK_PHONE"])/ 2.0)) -(np.maximum(((data["AMT_REQ_CREDIT_BUREAU_QRT"])) ,(((((( data["AMT_REQ_CREDIT_BUREAU_QRT"])* 2.0)) * 2.0)))))))))))) +
0.094373*np.tanh(np.where(data["SK_DPD"]>0,(((( -1.0)*(data["te_OCCUPATION_TYPE"])))-(((((data["AMT_ANNUITY_x"])+(data["AMT_ANNUITY_x"])))/ 2.0))), data["AMT_ANNUITY_x"])) +
0.100000*np.tanh(((data["AMT_GOODS_PRICE_x"])*(((( -1.0*(( data["AMT_GOODS_PRICE_x"])))) -(((( data["FLAG_DOCUMENT_2"])<(((data["AMT_GOODS_PRICE_x"])*(((((-1.0*(( data["AMT_GOODS_PRICE_x"])))) +(-1.0)) /2.0)))))*1.))))))+
0.100000*np.tanh(((((((-1.0*(( data["te_FLAG_EMP_PHONE"])))) +(data["cnt_FLAG_PHONE"])))+(np.where(((data["cnt_DAYS_EMPLOYED"])+(data["FLAG_EMP_PHONE"])) >0, 1.0, -1.0)))/2.0)) +
0.094920*np.tanh(((((-1.0*(( data["avg_buro_buro_bal_status_0"])))) +(((( data["cnt_NAME_INCOME_TYPE"])+(((((((data["NAME_GOODS_CATEGORY_Insurance"])>(data["cc_bal_SK_DPD_DEF"])) *1.))<(((((( data["NAME_GOODS_CATEGORY_Insurance"])+(data["cnt_NAME_INCOME_TYPE"])) /2.0)) / 2.0)))*1.))) /2.0)))/2.0)) +
0.099961*np.tanh(((data["CNT_INSTALMENT_FUTURE"])*(((( 3.0)<(((data["CNT_PAYMENT"])*(((( 5.0)) / 2.0)))))*1.))))+
0.100000*np.tanh(((((data["SK_DPD"])* 2.0)) +(((((((( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])/ 2.0)) +(data["cc_bal_CNT_DRAWINGS_CURRENT"])) /2.0)) -(((((data["te_OCCUPATION_TYPE"])/ 2.0)) / 2.0)))))) +
0.097968*np.tanh(((np.maximum(((((( data["ca__Closed"])+(data["te_CNT_CHILDREN"])) /2.0))),(((( np.minimum(((data["ca__Closed"])) ,(( data["cnt_FLAG_DOCUMENT_2"])))) / 2.0)))))-(np.tanh(((( data["ca__Closed"])* 2.0)))))) +
0.099922*np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0,(3.0),(( np.maximum(((-3.0)) ,(( data["cc_bal_SK_DPD_DEF"])))) -(((np.maximum(((data["YEARS_BUILD_MODE"])) ,(((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])* 2.0)))))-(( -1.0*(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))))))))+
0.099805*np.tanh(((((((data["cc_bal_AMT_RECIVABLE"])+(data["HOUSETYPE_MODE"])) /2.0)) +(((np.where(data["HOUSETYPE_MODE"]>0, 0.0, data["cc_bal_AMT_BALANCE"])) -(((( data["cc_bal_AMT_BALANCE"])>(data["cnt_FLAG_DOCUMENT_2"])) *1.))))) /2.0)) +
0.099961*np.tanh(np.minimum(((((1.0)-(data["ty__Mortgage"])))) ,(((((((( 2.0)+(data["DAYS_ID_PUBLISH"])) /2.0)) >(( 1.74468076229095459)))*1.))))) +
0.100000*np.tanh(( -1.0*(((((( data["FLAG_DOCUMENT_13"])* 2.0)) +(np.maximum(((np.maximum(((data["AMT_CREDIT_SUM_LIMIT"])) ,(((-1.0*(( data["AMT_CREDIT_SUM_LIMIT"])))))))) ,(( 0.0)))))))))+
0.099961*np.tanh(((np.minimum(((data["cnt_FLAG_DOCUMENT_18"])) ,(( np.tanh(((((data["AMT_CREDIT_x"])+(np.minimum(((1.0)) ,(((((( data["AMT_CREDIT_x"])/ 2.0)) -(-1.0)))))))/2.0)))))))* 2.0)) +
0.099961*np.tanh(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((((np.maximum(((np.where(data["ty__Car_loan"]>0, 1.0, data["ty__Microloan"]))),(( data["NAME_GOODS_CATEGORY_Insurance"])))) -(data["ty__Car_loan"])))/ 2.0)))/2.0)) +
0.099883*np.tanh(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((((np.maximum(((np.maximum(((data["SK_ID_PREV_x"])) ,(((( data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))))) ,(((( -2.0)+(data["FLAG_DOCUMENT_2"])))))) +(np.tanh(( data["cnt_HOUR_APPR_PROCESS_START_x"])))))/ 2.0)))/2.0)) +
0.099922*np.tanh(np.where(((data["cnt_FLAG_WORK_PHONE"])+(np.tanh(( data["inst_AMT_PAYMENT"])))) >0, data["FLAG_DOCUMENT_2"], np.where(data["cc_bal_SK_DPD_DEF"]>0, data["cc_bal_SK_DPD_DEF"],(-1.0*(( data["inst_AMT_PAYMENT"])))))) +
0.099805*np.tanh(((np.tanh(((((data["NAME_GOODS_CATEGORY_Construction_Materials"])+(( -1.0*(( np.maximum(((data["NAME_CONTRACT_STATUS_Unused_offer"])) ,(( 0.0)))))))) /2.0)))) +(((np.tanh(( np.where(data["CODE_REJECT_REASON_CLIENT"]>0, -3.0, data["CHANNEL_TYPE_AP___Cash_loan_"])))) / 2.0)))) +
0.098554*np.tanh(((((np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) -(((((((data["cnt_NAME_HOUSING_TYPE"])+(data["cnt_FLAG_DOCUMENT_2"])) /2.0)) +(data["NAME_TYPE_SUITE_Unaccompanied"])) /2.0)))) / 2.0)) +
0.099844*np.tanh(((( np.tanh(( data["PRODUCT_COMBINATION_Cash_X_Sell__high"])))+(((((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])*(((np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["PRODUCT_COMBINATION_Cash_Street__low"])))) / 2.0)))) *(((np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["PRODUCT_COMBINATION_Cash_Street__low"])))) / 2.0)))))/2.0)) +
0.100000*np.tanh(((((( np.where(data["NONLIVINGAPARTMENTS_MODE"]>0,(14.59643173217773438), np.minimum(((data["NONLIVINGAPARTMENTS_MODE"])) ,(( data["WEEKDAY_APPR_PROCESS_START_SATURDAY"])))))+(data["te_REG_REGION_NOT_LIVE_REGION"])) /2.0)) *(data["WEEKDAY_APPR_PROCESS_START_SATURDAY"])))+
0.100000*np.tanh(((np.where(((( data["FLAG_DOCUMENT_2"])>(( -1.0*(((((( data["SK_DPD"])*(data["SK_DPD"])))* 2.0)))))) *1.) >0, data["SK_DPD"], 3.0)) * 2.0)) +
0.099961*np.tanh(((( data["cnt_FLAG_DOCUMENT_14"])+(np.where(data["NAME_GOODS_CATEGORY_House_Construction"]>0, -2.0,(((((data["AMT_CREDIT_y"])/ 2.0)) +(np.maximum(((((data["AMT_CREDIT_y"])/ 2.0))),(( data["NAME_GOODS_CATEGORY_Insurance"])))))/2.0)))) /2.0)) +
0.099961*np.tanh(((((( data["NONLIVINGAPARTMENTS_MODE"])* 2.0)) >(((( data["NAME_PRODUCT_TYPE_walk_in"])+(((((((( data["NONLIVINGAPARTMENTS_MODE"])+(data["cnt_FLAG_DOCUMENT_2"])))* 2.0)) <(data["te_NAME_CONTRACT_TYPE"])) *1.))) /2.0)))*1.))+
0.099140*np.tanh(np.where(data["NAME_PRODUCT_TYPE_walk_in"]>0,(-1.0*(((((2.0)<(data["NAME_PRODUCT_TYPE_walk_in"])) *1.)))),(((((data["Returned_to_the_store"])+(data["te_REG_CITY_NOT_LIVE_CITY"])) /2.0)) / 2.0)))+
0.100000*np.tanh(((np.where(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"]>0,(-1.0*(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"]))),(((((((((( data["te_REG_REGION_NOT_LIVE_REGION"])+(((data["HOUR_APPR_PROCESS_START_y"])/ 2.0)))/2.0)) / 2.0)) *(-3.0)))+(data["FLAG_DOCUMENT_2"])) /2.0)))/ 2.0)) +
0.100000*np.tanh(np.where(((((( data["inst_NUM_INSTALMENT_VERSION"])+(-2.0)))>(data["cc_bal_SK_ID_PREV"])) *1.) >0, -2.0,(((data["inst_AMT_PAYMENT"])<(((( -2.0)+(((data["cc_bal_SK_ID_PREV"])+(data["inst_NUM_INSTALMENT_VERSION"])))) /2.0)))*1.))) +
0.099883*np.tanh(((( np.where(data["cnt_CODE_GENDER"]>0, np.tanh(( data["REGION_POPULATION_RELATIVE"])) , data["cc_bal_SK_ID_PREV"])) +(((((((( data["REGION_POPULATION_RELATIVE"])/ 2.0)) <(data["cnt_CODE_GENDER"])) *1.))*(data["REGION_POPULATION_RELATIVE"])))) /2.0)) +
0.099961*np.tanh(np.where(np.minimum(((np.where(data["cc_bal_SK_DPD_DEF"]>0, 2.0, data["DAYS_FIRST_DUE"]))),(( data["cc_bal_cc_bal_status__Sent_proposal"])))>0, 3.0,(( data["cc_bal_SK_DPD_DEF"])-(((data["cc_bal_cc_bal_status__Sent_proposal"])/ 2.0)))))+
0.075342*np.tanh(((((((( data["REGION_RATING_CLIENT_W_CITY"])-(((data["AMT_REQ_CREDIT_BUREAU_MON"])*(np.where(data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"]>0, data["AMT_REQ_CREDIT_BUREAU_MON"], 3.0)))))) +(((( data["REGION_RATING_CLIENT_W_CITY"])<(data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"])) *1.))) /2.0)) / 2.0)) +
0.088980*np.tanh(((np.tanh(((((((-1.0*(( np.tanh(( data["DAYS_ENDDATE_FACT"])))))) / 2.0)) -(data["NAME_GOODS_CATEGORY_Gardening"])))))-(np.maximum(((data["cc_bal_cc_bal_status__Sent_proposal"])) ,(( data["NAME_GOODS_CATEGORY_Gardening"])))))) +
0.100000*np.tanh(((( data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"])+(((((((data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"])*(( -1.0*(( data["SK_ID_PREV_y"])))))) * 2.0)) +(((((((0.0)+(((-3.0)/ 2.0)))/2.0)) >(data["SK_ID_PREV_y"])) *1.))))) /2.0)) +
0.099805*np.tanh(((np.tanh(((((( -1.0*(( np.tanh(( 3.0)))))) +(((data["CNT_INSTALMENT_FUTURE"])-(np.maximum(((-1.0)) ,(( data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])))))))/2.0)))) / 2.0)) +
0.100000*np.tanh(((np.where(np.minimum(((((3.0)* 2.0))),(((( -1.0)+(data["CNT_INSTALMENT"])))))>0, 3.0, data["inst_AMT_PAYMENT"])) *(np.minimum(((np.tanh(( data["inst_AMT_PAYMENT"])))) ,(( data["cc_bal_SK_DPD_DEF"])))))) +
0.099961*np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0, data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"],(((((((data["inst_AMT_PAYMENT"])<(np.tanh(((( data["FLAG_DOCUMENT_2"])-(np.tanh(((-1.0*(( np.tanh(( -2.0)))))))))))))*1.))* 2.0)) * 2.0)))+
0.099883*np.tanh(((( -1.0*(((((((((data["AMT_CREDIT_x"])+(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))* 2.0)) <(((np.where(( 11.91235828399658203)>0, -3.0, data["cc_bal_SK_DPD_DEF"])) / 2.0)))*1.))))) / 2.0)) +
0.088667*np.tanh(((0.0)-(np.minimum(((((( -1.0)<(np.minimum(((data["ENTRANCES_AVG"])) ,(((((( data["inst_AMT_PAYMENT"])* 2.0)) *(data["ENTRANCES_AVG"])))))))*1.))) ,(( data["ENTRANCES_MEDI"])))))) +
0.099648*np.tanh(((((( data["FLAG_DOCUMENT_13"])*(( -1.0*(((((data["FLAG_DOCUMENT_13"])+(1.0)) /2.0)))))))+(((((((( -1.0*(((-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))))+(data["FLAG_WORK_PHONE"])) /2.0)) +(data["cc_bal_SK_DPD_DEF"])) /2.0)))/2.0)) +
0.099218*np.tanh(np.tanh(((( np.maximum(((((((-1.0*(( np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( data["cc_bal_SK_DPD_DEF"])))))))>(data["cnt_FLAG_DOCUMENT_2"])) *1.))) ,(( -3.0)))) *(((( data["CNT_INSTALMENT_FUTURE"])+(((data["CNT_INSTALMENT_FUTURE"])* 2.0)))/2.0)))))) +
0.099961*np.tanh(((np.where(data["PRODUCT_COMBINATION_Cash_X_Sell__low"]>0,(((( -1.0*(( data["PRODUCT_COMBINATION_Cash_X_Sell__low"])))) +(((( 2.0)+(data["cc_bal_SK_DPD_DEF"])) /2.0)))/2.0),(-1.0*(((((data["CNT_INSTALMENT"])>(( -1.0*(( data["PRODUCT_COMBINATION_Cash_X_Sell__low"])))))*1.))))))/ 2.0)) +
0.099297*np.tanh(np.where(data["inst_AMT_PAYMENT"]>0, data["cc_bal_SK_DPD_DEF"], np.maximum(((((data["cc_bal_CNT_DRAWINGS_CURRENT"])/ 2.0))),(( np.tanh(( np.maximum(((data["cc_bal_CNT_DRAWINGS_CURRENT"])) ,(((((( data["inst_AMT_PAYMENT"])* 2.0)) *(np.tanh(( data["PRODUCT_COMBINATION_POS_mobile_with_interest"])))))))))))))) +
0.099531*np.tanh(((((((( data["NONLIVINGAPARTMENTS_MODE"])+(((( 12.74562358856201172)) *(data["cc_bal_SK_DPD_DEF"])))) /2.0)) +(((( 2.0)<(data["PRODUCT_COMBINATION_Card_X_Sell"])) *1.))))+(((data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0)))) +
0.096991*np.tanh(((((np.minimum(((data["cnt_FLAG_DOCUMENT_11"])) ,(( np.minimum(((np.tanh(((( np.tanh(( data["CODE_REJECT_REASON_LIMIT"])))-(data["cnt_FLAG_DOCUMENT_2"])))))) ,(((6.59259939193725586)))))))) +(((( data["cc_bal_SK_DPD_DEF"])<(data["CODE_REJECT_REASON_LIMIT"])) *1.))))/ 2.0)) +
0.099844*np.tanh(np.where(((((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])+(( 1.57356655597686768)))) +(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])) /2.0)>0, data["cc_bal_SK_DPD_DEF"],(( 2.0)* 2.0)))+
0.099023*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["cnt_FLAG_DOCUMENT_2"], np.minimum(((np.minimum(((data["cnt_FLAG_DOCUMENT_16"])) ,(( data["cnt_FLAG_EMAIL"]))))),(( np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(((((-1.0*(( data["cnt_FLAG_DOCUMENT_16"])))) *(data["CODE_REJECT_REASON_SCO"])))))))))) +
0.099726*np.tanh(((((((-1.0*(((((( data["DAYS_LAST_DUE_1ST_VERSION"])+(data["NAME_TYPE_SUITE_Children"])))/ 2.0)))))+(((( data["CODE_GENDER"])<(((data["DAYS_LAST_DUE_1ST_VERSION"])*(data["FLAG_DOCUMENT_2"])))) *1.))) /2.0)) / 2.0)) +
0.099531*np.tanh(np.minimum(((((((((((((( data["FLAG_OWN_CAR"])/ 2.0)) / 2.0)) +(data["FLAG_OWN_CAR"])))+(((data["FLAG_OWN_CAR"])-(data["ty__Car_loan"])))) /2.0)) *(data["ty__Car_loan"])))) ,(( 0.0)))) +
0.099805*np.tanh(((((0.0)+(((np.where(data["cu__currency_3"]>0,(( data["cu__currency_3"])/ 2.0),(( data["cnt_FLAG_DOCUMENT_15"])-(( -1.0*(( np.tanh(( data["cc_bal_SK_DPD_DEF"])))))))))* 2.0)))) -(data["cnt_FLAG_DOCUMENT_2"])))+
0.081829*np.tanh(((( np.where(data["CNT_INSTALMENT_FUTURE"]>0, data["AMT_CREDIT_y"], data["NAME_GOODS_CATEGORY_Insurance"])) >(np.minimum(((((( data["CNT_INSTALMENT_FUTURE"])<(2.0)) *1.))) ,(( np.where(3.0>0,(12.38264274597167969),(( data["CNT_INSTALMENT_FUTURE"])* 2.0)))))))*1.))+
0.100000*np.tanh(((-1.0)*(((((((( 0.0)<(data["CNT_INSTALMENT"])) *1.))*(data["Active"])))*(data["Active"])))))+
0.099805*np.tanh(np.where(((( data["CNT_PAYMENT"])+(-3.0)) /2.0)>0, data["DAYS_LAST_DUE"],(( np.maximum(((((( data["DAYS_LAST_DUE"])>(2.0)) *1.))) ,(((((1.0)<(data["CNT_PAYMENT"])) *1.))))) / 2.0)))+
0.099883*np.tanh(np.minimum(((((2.0)-(data["inst_AMT_PAYMENT"])))) ,(((((data["PRODUCT_COMBINATION_Cash_X_Sell__low"])<(( -1.0*(((((data["inst_AMT_PAYMENT"])<(1.0)) *1.))))))*1.))))) +
0.099570*np.tanh(((( -1.0*(((((((((data["PRODUCT_COMBINATION_Cash_X_Sell__low"])>(((((((data["FLAG_DOCUMENT_2"])* 2.0)) * 2.0)) -(((data["PRODUCT_COMBINATION_Cash_Street__low"])+(-3.0)))))) *1.))/ 2.0)) * 2.0)))))* 2.0)) +
0.100000*np.tanh(((((( -1.0*(((((3.0)<(data["NAME_GOODS_CATEGORY_Furniture"])) *1.))))) +(((( data["cnt_FLAG_DOCUMENT_14"])+(((( data["cnt_FLAG_DOCUMENT_14"])<(np.maximum(((((data["cc_bal_SK_DPD_DEF"])* 2.0))),(( data["cnt_FLAG_DOCUMENT_14"])))))*1.))) /2.0)))) * 2.0)) +
0.099687*np.tanh(((((np.tanh(((( data["WEEKDAY_APPR_PROCESS_START_MONDAY"])-(data["Active"])))))/ 2.0)) / 2.0)) +
0.099687*np.tanh(((((((((np.where(( -1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))>0, np.where(data["CNT_INSTALMENT_FUTURE"]>0,(2.0),(( data["ca__Sold"])+(-1.0))), 0.0)) / 2.0)) / 2.0)) / 2.0)) / 2.0)) +
0.099766*np.tanh(((((((2.0)*(data["te_FLAG_OWN_REALTY"])))+(((((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(((data["cnt_FLAG_DOCUMENT_2"])-(data["NAME_GOODS_CATEGORY_Insurance"])))) /2.0)) * 2.0)))) *(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+
0.099609*np.tanh(np.tanh(((( data["DAYS_BIRTH"])*(((1.0)+(np.minimum(((np.tanh(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])>(((data["DAYS_BIRTH"])*(((data["cnt_NAME_FAMILY_STATUS"])/ 2.0)))))*1.))))) ,(( data["cnt_NAME_FAMILY_STATUS"])))))))))) +
0.098007*np.tanh(np.where(((data["CNT_FAM_MEMBERS"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) >0, data["DAYS_EMPLOYED"],(((( -1.0*(( data["cnt_CNT_CHILDREN"])))) >(data["CNT_CHILDREN"])) *1.))) +
0.086284*np.tanh(((((((((-1.0)/ 2.0)) +(data["cc_bal_SK_DPD_DEF"])) /2.0)) +(((( data["AMT_CREDIT_y"])>(((data["ty__Mortgage"])-(((data["cnt_FLAG_DOCUMENT_2"])-(data["ty__Mortgage"])))))) *1.))) /2.0)) +
0.093044*np.tanh(((np.minimum(((((((data["SK_ID_PREV_y"])*(data["inst_AMT_PAYMENT"])))*(2.0)))) ,(((( np.minimum(((((data["SK_ID_PREV_y"])*(data["inst_AMT_PAYMENT"])))) ,(( 3.0)))) / 2.0)))))* 2.0)) +
0.100000*np.tanh(((((((((data["NAME_GOODS_CATEGORY_Insurance"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)) <(((( data["SK_DPD"])+(np.tanh(( np.tanh(((((-1.0*(( data["SK_DPD"])))) / 2.0)))))))/2.0)))*1.))* 2.0)) +
0.100000*np.tanh(( -1.0*(( np.where(((( -2.0)+(( -1.0*(( data["EXT_SOURCE_2"])))))/2.0)>0, data["EXT_SOURCE_2"],(((((( data["EXT_SOURCE_2"])<(((-3.0)* 2.0)))*1.))>(data["EXT_SOURCE_2"])) *1.))))))+
0.098632*np.tanh(np.where(np.tanh(((( -3.0)+(data["AMT_REQ_CREDIT_BUREAU_YEAR"])))) >0, -3.0,(( np.where(data["AMT_REQ_CREDIT_BUREAU_YEAR"]>0, data["CODE_REJECT_REASON_XAP"], data["FLAG_DOCUMENT_2"])) / 2.0)))+
0.082923*np.tanh(((np.minimum(((((((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])<(data["SK_ID_PREV_x"])) *1.))/ 2.0)) +(data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])) /2.0))),(((((((6.0)) -(((data["te_LIVE_REGION_NOT_WORK_REGION"])* 2.0)))) * 2.0)))))* 2.0)) +
0.098867*np.tanh(np.maximum(((data["NAME_SELLER_INDUSTRY_Auto_technology"])) ,(((-1.0*(( np.where(data["inst_SK_ID_PREV"]>0, np.maximum(((2.0)) ,(( 2.0))),(( data["SK_ID_PREV_y"])/ 2.0)))))))))+
0.079640*np.tanh(np.tanh(((( np.tanh(((( np.minimum(((data["EXT_SOURCE_2"])) ,(((( -2.0)*(np.tanh(((( data["EXT_SOURCE_2"])-(1.0)))))))))) * 2.0)))) +(((data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)))))) +
0.099883*np.tanh(np.maximum(((((( 1.0)<(np.where(data["EXT_SOURCE_2"]>0, -2.0, data["ty__Consumer_credit"])))*1.))) ,(((( -2.0)-(np.minimum(((-1.0)) ,(( data["EXT_SOURCE_2"])))))))))+
0.099766*np.tanh(np.where(data["AMT_CREDIT_SUM_DEBT"]>0,(-1.0*(((((( -3.0)+(data["AMT_CREDIT_SUM_DEBT"])))* 2.0)))) ,(((( data["AMT_CREDIT_SUM_DEBT"])* 2.0)) * 2.0)))+
0.100000*np.tanh(((((( data["ty__Microloan"])>(((3.0)+(((np.minimum(((data["ca__Active"])) ,(((( -1.0)*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])>(data["DAYS_EMPLOYED"])) *1.))))))) +(-2.0)))))) *1.))* 2.0)) +
0.087651*np.tanh(np.where(np.tanh(( np.where(( 2.0)>0, data["NAME_GOODS_CATEGORY_Direct_Sales"],(3.98223018646240234)))) >0, data["SK_ID_BUREAU"],(((( data["SK_ID_BUREAU"])* 2.0)) *(((data["SK_ID_PREV_x"])/ 2.0)))))+
0.100000*np.tanh(( -1.0*(((((((((data["FLAG_EMP_PHONE"])<(( -1.0*(( data["DAYS_EMPLOYED"])))))*1.))*(3.0)))*(((( data["FLAG_EMP_PHONE"])<(( -1.0*(( data["DAYS_EMPLOYED"])))))*1.))))))) +
0.090778*np.tanh(((((data["NAME_CLIENT_TYPE_Repeater"])/ 2.0)) *(((( data["FLAG_DOCUMENT_2"])+(np.where(data["SK_ID_PREV_x"]>0, 2.0, data["HOUR_APPR_PROCESS_START_y"])))/2.0)))) +
0.091403*np.tanh(((( data["PRODUCT_COMBINATION_POS_household_without_interest"])+(((data["SK_ID_BUREAU"])*(((np.minimum(((((( data["DAYS_LAST_DUE_1ST_VERSION"])+(np.maximum(((data["SK_ID_BUREAU"])) ,(( data["SK_ID_BUREAU"])))))/2.0))),(( 1.0)))) / 2.0)))))/2.0)) +
0.099844*np.tanh(((( -1.0*(((((np.where(data["cc_bal_SK_DPD"]>0, data["NAME_CONTRACT_STATUS_Canceled"], np.tanh(((((data["cc_bal_SK_DPD"])<(( -1.0*(((( data["NAME_CONTRACT_STATUS_Canceled"])/ 2.0)))))) *1.))))) >(2.0)) *1.))))) * 2.0)) +
0.100000*np.tanh(((( np.maximum(((((( data["SK_ID_PREV_y"])<(((((data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"])+(data["cc_bal_SK_DPD"])))-(( -1.0*(( -1.0)))))))*1.))) ,(( data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"])))) >(( -1.0*(( data["FLAG_DOCUMENT_5"])))))*1.))+
0.100000*np.tanh(((np.maximum(((data["EXT_SOURCE_3"])) ,(( np.maximum(((data["EXT_SOURCE_3"])) ,(((((-3.0)+(((data["EXT_SOURCE_3"])*(data["EXT_SOURCE_3"])))) /2.0)))))))) * 2.0)) +
0.100000*np.tanh(((np.tanh(((((( data["DAYS_CREDIT"])+(np.minimum(((data["ty__Credit_card"])) ,(( np.minimum(((data["ty__Credit_card"])) ,(( 1.0)))))))))+(np.minimum(((data["ty__Credit_card"])) ,(((( data["DAYS_CREDIT"])/ 2.0)))))))))/ 2.0)) +
0.100000*np.tanh(((np.where(np.minimum(((( 6.0))),(((((data["EXT_SOURCE_3"])<(-2.0)) *1.))))>0, 1.0,(( data["AMT_REQ_CREDIT_BUREAU_DAY"])* 2.0)))-(data["YEARS_BEGINEXPLUATATION_MODE"])))+
0.079601*np.tanh(((np.where(data["LIVINGAPARTMENTS_MEDI"]>0, -3.0,(((data["NAME_YIELD_GROUP_low_action"])<(np.where(data["avg_buro_MONTHS_BALANCE"]>0,(((0.90152645111083984)) / 2.0), data["LIVINGAPARTMENTS_AVG"])))*1.))) *(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))+
0.083665*np.tanh(np.where(data["avg_buro_MONTHS_BALANCE"]>0, data["SK_ID_BUREAU"],(((( data["SK_ID_BUREAU"])*(-1.0)))*(data["ty__Consumer_credit"])))) +
0.100000*np.tanh(((((((( -2.0)/ 2.0)) -(((data["te_NAME_FAMILY_STATUS"])*(data["DAYS_CREDIT_ENDDATE"])))))>(np.minimum(((data["DAYS_CREDIT_ENDDATE"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))))*1.))+
0.089723*np.tanh(np.where(np.maximum(((-1.0)) ,(((-1.0*(( np.minimum(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) ,(((((((( -1.0*(( -2.0)))) <(data["SK_ID_BUREAU"])) *1.))/ 2.0)))))))))) >0, data["SK_ID_BUREAU"],(-1.0*(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))))+
0.099922*np.tanh(np.minimum(((((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])>(np.minimum(((np.where(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"]>0, 3.0, data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"]))),(( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])))))*1.))) ,(((((((2.0)+(2.0)) /2.0)) -(data["NAME_YIELD_GROUP_low_action"])))))) +
0.099805*np.tanh(((((((((data["cnt_FLAG_DOCUMENT_15"])+(data["cnt_FLAG_DOCUMENT_15"])))+(((data["cc_bal_cc_bal_status__Sent_proposal"])*(data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])))))* 2.0)) +(((data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0)))) +
0.099531*np.tanh(((( data["cc_bal_CNT_DRAWINGS_CURRENT"])+(( -1.0*(((((((((( data["LIVINGAPARTMENTS_MEDI"])+(data["AMT_CREDIT_x"])))+(data["AMT_CREDIT_x"])))+(data["LIVINGAPARTMENTS_MEDI"])))*(data["cc_bal_CNT_DRAWINGS_CURRENT"])))))))/2.0)) +
0.100000*np.tanh(((( data["NAME_GOODS_CATEGORY_Insurance"])<(np.minimum(((((data["SK_DPD"])-(((np.where(0.0>0, data["cnt_FLAG_DOCUMENT_13"], data["NAME_CASH_LOAN_PURPOSE_Furniture"])) * 2.0))))),(( data["cnt_FLAG_DOCUMENT_13"])))))*1.))+
0.099883*np.tanh(((((((-1.0*(((( data["NAME_YIELD_GROUP_high"])/ 2.0)))))-(((( np.minimum(((data["inst_SK_ID_PREV"])) ,(((((-2.0)>(( 7.0)))*1.))))) >(((data["NAME_YIELD_GROUP_high"])/ 2.0)))*1.))))+(data["NAME_CASH_LOAN_PURPOSE_Furniture"])) /2.0)) +
0.099922*np.tanh(np.minimum(((( -1.0*(( np.maximum(((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0))),(( data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])))))))) ,(( np.maximum(((np.maximum(((((data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])* 2.0))),(((( data["PRODUCT_COMBINATION_Card_X_Sell"])/ 2.0)))))) ,(( data["CNT_INSTALMENT_FUTURE"])))))))+
0.068308*np.tanh(((np.where(((1.0)+(np.minimum(((data["cnt_DAYS_BIRTH"])) ,(( 3.0)))))>0,(-1.0*(((( np.minimum(((data["SK_ID_PREV_y"])) ,(( data["SK_ID_PREV_y"])))) / 2.0)))) , -2.0)) / 2.0)) +
0.093630*np.tanh(((((( data["DAYS_CREDIT_ENDDATE"])>(((((np.minimum(((np.maximum(((data["DAYS_LAST_DUE_1ST_VERSION"])) ,(( data["FLAG_DOCUMENT_13"]))))),(((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(( 2.0)))/2.0)))))-(0.0)))* 2.0)))*1.))/ 2.0)) +
0.090660*np.tanh(((data["DAYS_FIRST_DUE"])*(((( data["NAME_CLIENT_TYPE_Repeater"])<(((( -1.0)+(data["CODE_REJECT_REASON_VERIF"])) /2.0)))*1.))))+
0.099101*np.tanh(((((((data["NAME_CONTRACT_STATUS_Approved"])<(data["NAME_CONTRACT_STATUS_Approved"])) *1.))+(((( -1.0*(( data["inst_AMT_PAYMENT"])))) *(np.maximum(((data["NAME_CONTRACT_STATUS_Approved"])) ,(((-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))))))) /2.0)) +
0.099922*np.tanh(np.maximum(((data["cu__currency_3"])) ,(((((((data["CNT_INSTALMENT_FUTURE"])+(((data["cu__currency_3"])-(np.minimum(((((( 5.11337184906005859)) -(data["PRODUCT_COMBINATION_Cash_Street__high"])))) ,(( data["cu__currency_3"])))))))) >(3.0)) *1.))))) +
0.099922*np.tanh(np.minimum(((((data["ORGANIZATION_TYPE"])*(data["NAME_GOODS_CATEGORY_Gardening"])))) ,(( np.maximum(((data["NAME_CONTRACT_STATUS_Approved"])) ,(((((data["ORGANIZATION_TYPE"])+(0.0)) /2.0)))))))) +
0.099844*np.tanh(( -1.0*(((((((data["FLAG_DOCUMENT_13"])+(((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(((( -1.0*(((( data["SK_ID_PREV_x"])-(((np.tanh(( 0.0)))* 2.0)))))))+(data["ORGANIZATION_TYPE"])))) /2.0)))/2.0)) / 2.0)))))+
0.099922*np.tanh(((np.minimum(((np.maximum(((((np.maximum(((data["NONLIVINGAPARTMENTS_MODE"])) ,(((( data["NONLIVINGAPARTMENTS_MODE"])*(((data["FLAG_CONT_MOBILE"])* 2.0)))))))+(-2.0)))) ,(( data["cnt_FLAG_DOCUMENT_17"]))))),(( 2.0)))) * 2.0)) +
0.099609*np.tanh(((np.maximum(((((-3.0)/ 2.0))),(((4.0)))))*(((np.tanh(((10.0)))) *(((((((data["PRODUCT_COMBINATION_Card_Street"])*(((data["cc_bal_SK_DPD_DEF"])* 2.0)))) * 2.0)) * 2.0)))))) +
0.098867*np.tanh(((np.where(-1.0>0, data["DAYS_ID_PUBLISH"],(( data["SK_ID_PREV_y"])*(( -1.0*(( np.tanh(((((((data["DAYS_ID_PUBLISH"])>(((( data["CODE_REJECT_REASON_VERIF"])+(0.0)) /2.0)))*1.))* 2.0)))))))))) / 2.0)) +
0.099609*np.tanh(np.minimum(((((((3.0)*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))*(data["NAME_CLIENT_TYPE_New"])))) ,(((((((((np.maximum(((data["FLAG_DOCUMENT_2"])) ,(( -3.0)))) / 2.0)) <(data["SK_DPD"])) *1.))*(data["NAME_CLIENT_TYPE_New"])))))) +
0.099844*np.tanh(((data["MONTHS_BALANCE"])*(((( np.where(data["SK_DPD"]>0, 3.0,(( data["SK_DPD"])* 2.0)))+(np.where(data["MONTHS_BALANCE"]>0, data["SK_DPD"], data["inst_NUM_INSTALMENT_VERSION"])))/2.0)))) +
0.097655*np.tanh(((((-1.0*(((((1.0)<(data["RATE_DOWN_PAYMENT"])) *1.))))) +(((data["Demand"])-(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))) /2.0)) +
0.100000*np.tanh(np.where(data["SK_DPD"]>0, data["FLAG_DOCUMENT_16"],(((data["cnt_FLAG_DOCUMENT_16"])+(np.where(data["te_FLAG_EMAIL"]>0, data["cnt_FLAG_DOCUMENT_16"], np.tanh(( np.tanh(( data["cc_bal_SK_ID_PREV"])))))))/2.0)))+
0.099648*np.tanh(((((( data["SK_DPD"])+(((np.where(data["SK_DPD"]>0, data["FLAG_DOCUMENT_16"],(-1.0*(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["FLAG_DOCUMENT_16"])) /2.0)))))) * 2.0)))/2.0)) / 2.0)) +
0.099140*np.tanh(((np.where(data["te_WALLSMATERIAL_MODE"]>0, np.minimum(((data["cc_bal_SK_DPD"])) ,(( np.minimum(((data["cnt_FLAG_DOCUMENT_16"])) ,(( data["SK_DPD"])))))) , data["cnt_FLAG_DOCUMENT_16"])) -(((( 0.13569834828376770)) *(data["te_FLAG_EMAIL"])))))+
0.099961*np.tanh(((((-1.0*(( data["SK_DPD"])))) >(((( data["SK_DPD"])<(((((((data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)) * 2.0)) * 2.0)))*1.))) *1.))+
0.099726*np.tanh(((np.minimum(((((np.tanh(( data["NAME_CONTRACT_STATUS_Approved"])))/ 2.0))),(((( data["AMT_CREDIT_x"])/ 2.0)))))/ 2.0)) +
0.100000*np.tanh(np.where(((( data["AMT_ANNUITY_x"])+(((( data["AMT_ANNUITY_x"])>(((data["AMT_GOODS_PRICE_x"])* 2.0)))*1.))) /2.0)>0, np.tanh(( data["te_NAME_CONTRACT_TYPE"])) , data["NAME_CONTRACT_TYPE"])) +
0.084760*np.tanh(( -1.0*(((( data["AMT_GOODS_PRICE_x"])*(np.maximum(((np.maximum(((np.tanh(( np.tanh(( data["AMT_GOODS_PRICE_x"])))))) ,(( np.where(data["AMT_GOODS_PRICE_x"]>0, data["NAME_GOODS_CATEGORY_Insurance"], -3.0)))))) ,(((( data["CNT_INSTALMENT_FUTURE"])* 2.0)))))))))) +
0.099805*np.tanh(((((((np.maximum(((data["FLAG_DOCUMENT_2"])) ,(( data["Active"])))) *(( -1.0*(( data["CNT_INSTALMENT"])))))) +(np.where(data["Active"]>0,(-1.0*(( data["FLAG_DOCUMENT_2"]))), data["AMT_CREDIT_x"])))) / 2.0)) +
0.099531*np.tanh(np.where(data["SK_DPD"]>0, data["CNT_INSTALMENT_FUTURE"], np.maximum(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])-(((data["AMT_ANNUITY_x"])/ 2.0)))) / 2.0))),(((((data["SK_DPD"])>(((3.0)-(data["CNT_INSTALMENT_FUTURE"])))) *1.))))))+
0.099805*np.tanh(((((((data["AMT_CREDIT_x"])*(((( 1.0)+(data["LIVINGAPARTMENTS_MEDI"])) /2.0)))) *(((( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["AMT_CREDIT_x"], np.tanh(( 2.0)))) +(data["LIVINGAPARTMENTS_MEDI"])) /2.0)))) / 2.0)) +
0.100000*np.tanh(((((((data["CHANNEL_TYPE_AP___Cash_loan_"])>(((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["AMT_GOODS_PRICE_x"])))) *1.))+(((( -1.0)+(((( 2.0)<(((data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0)))*1.))) /2.0)))/2.0)) +
0.082141*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, np.minimum(((3.0)) ,(( np.tanh(( data["SK_DPD"]))))), np.minimum(((np.maximum(((((data["WEEKDAY_APPR_PROCESS_START_WEDNESDAY"])* 2.0))),(( data["FLAG_DOCUMENT_2"]))))),(((( data["AMT_CREDIT_x"])/ 2.0)))))) +
0.099844*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["FLAG_DOCUMENT_18"],(-1.0*(( np.maximum(((data["FLAG_DOCUMENT_18"])) ,(( np.tanh(((( data["AMT_ANNUITY_x"])-(((( 2.0)>(1.0)) *1.))))))))))))) +
0.099766*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["FLAG_DOCUMENT_18"],(((( data["te_FLAG_DOCUMENT_18"])+(np.minimum(((((3.0)* 2.0))),(((( data["LIVINGAPARTMENTS_MEDI"])/ 2.0)))))))/ 2.0)))+
0.096952*np.tanh(np.minimum(((( -1.0*(( data["NONLIVINGAREA_MODE"]))))),(((-1.0*(( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["FLOORSMAX_MEDI"], data["FLAG_DOCUMENT_18"])))))))) +
0.099844*np.tanh(((((((4.0)) <(((((data["SK_DPD"])* 2.0)) -(((((data["Active"])*(((data["SK_DPD"])/ 2.0)))) +(np.minimum(((data["Active"])) ,(( data["Active"])))))))))*1.))* 2.0)) +
0.099922*np.tanh(( -1.0*(((( np.minimum(((data["cnt_FLAG_DOCUMENT_2"])) ,(((((8.0)) -(np.maximum(((np.maximum(((data["SK_DPD"])) ,(( data["cc_bal_SK_DPD"]))))),(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["SK_DPD"])) /2.0)))))))))) / 2.0)))))+
0.099766*np.tanh(( -1.0*(( np.maximum(((data["NAME_SELLER_INDUSTRY_MLM_partners"])) ,(((((data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])>(((( 1.0)>(((data["AMT_CREDIT_x"])*(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])))) *1.))) *1.))))))))+
0.100000*np.tanh(((((( np.maximum(((( 1.12741851806640625))),(( data["AMT_CREDIT_x"])))) / 2.0)) <(((data["AMT_CREDIT_x"])*(data["OWN_CAR_AGE"])))) *1.))+
0.099922*np.tanh(np.minimum(((( -1.0*(((( data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])-(( -1.0*(((( data["CODE_REJECT_REASON_VERIF"])-(( 8.51573276519775391))))))))))))),(( np.minimum(((data["cnt_FLAG_DOCUMENT_17"])) ,(( data["FLAG_DOCUMENT_17"])))))))+
0.099492*np.tanh(((((data["avg_buro_buro_bal_status_5"])+(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])) ,(((( np.where(data["cnt_NAME_EDUCATION_TYPE"]>0,(-1.0*(( np.tanh(( 0.0))))), data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) / 2.0)))))))-(data["FLAG_DOCUMENT_15"])))+
0.082376*np.tanh(np.where(data["avg_buro_buro_bal_status_2"]>0, data["NAME_GOODS_CATEGORY_Insurance"],(( data["AMT_CREDIT_x"])-(((( data["avg_buro_buro_count"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)))))+
0.099922*np.tanh(((((data["AMT_ANNUITY_x"])*(np.minimum(((((((data["NAME_CASH_LOAN_PURPOSE_Medicine"])* 2.0)) *(-2.0)))) ,(((-1.0*(((((data["NAME_CASH_LOAN_PURPOSE_Medicine"])<(((data["NAME_CASH_LOAN_PURPOSE_Medicine"])* 2.0)))*1.))))))))))/ 2.0)) +
0.077804*np.tanh(np.tanh(( np.tanh(( np.where(data["AMT_GOODS_PRICE_x"]>0,(( -1.0)+(data["AMT_ANNUITY_x"])) ,(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["AMT_GOODS_PRICE_x"])))*(((((( 1.0)) * 2.0)) * 2.0)))))))))+
0.099726*np.tanh(( -1.0*(( np.tanh(((( data["inst_AMT_PAYMENT"])*(((( np.maximum(((data["AMT_GOODS_PRICE_x"])) ,(( -1.0)))) <(data["AMT_ANNUITY_x"])) *1.))))))))) +
0.100000*np.tanh(((np.where(data["CNT_INSTALMENT_FUTURE"]>0,(((data["AMT_ANNUITY_x"])<(((data["inst_AMT_INSTALMENT"])-(( -1.0*(( np.where(0.0>0,(2.0),(( -2.0)/ 2.0)))))))))*1.) , data["inst_AMT_INSTALMENT"])) / 2.0)) +
0.100000*np.tanh(((((((data["avg_buro_buro_bal_status_C"])+(((( data["inst_NUM_INSTALMENT_VERSION"])<(((((((((((data["inst_AMT_PAYMENT"])/ 2.0)) +(data["AMT_ANNUITY_x"])) /2.0)) +(data["NAME_SELLER_INDUSTRY_Connectivity"])) /2.0)) *(3.0)))) *1.))) /2.0)) >(1.0)) *1.))+
0.099648*np.tanh(((((data["inst_AMT_PAYMENT"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))*(np.maximum(((((data["AMT_ANNUITY_x"])* 2.0))),(( data["inst_AMT_PAYMENT"])))))) +
0.099844*np.tanh(((((((( np.where(0.0>0, 0.0, np.minimum(((((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(-2.0)) /2.0))),(( data["AMT_ANNUITY_x"])))))-(1.0)))-(data["AMT_ANNUITY_x"])))>(-1.0)) *1.))+
0.099844*np.tanh(((np.minimum(((( -1.0*(( data["AMT_CREDIT_x"]))))),(( np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( data["AMT_CREDIT_x"])*(data["inst_DAYS_INSTALMENT"])))))))))*(data["inst_DAYS_INSTALMENT"])))+
0.099336*np.tanh(np.where(( -1.0*(((((-2.0)+(data["cc_bal_AMT_BALANCE"])) /2.0)))) >0,(( np.minimum(((data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])) ,(((-1.0*(( data["cc_bal_AMT_BALANCE"])))))))/ 2.0),(11.17006969451904297)))+
0.098046*np.tanh(((( data["NAME_YIELD_GROUP_XNA"])>(((((((data["AMT_GOODS_PRICE_x"])+(((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])+(((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(data["DAYS_FIRST_DRAWING"])) /2.0)))/2.0)))/2.0)) +(( 2.82667350769042969)))/2.0)))*1.))+
0.099922*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Medicine"]>0, 3.0,(((( np.where(data["NAME_GOODS_CATEGORY_Medicine"]>0,(3.0),(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(data["NAME_CONTRACT_STATUS_Canceled"])))) *(data["NAME_CONTRACT_STATUS_Canceled"])))*(data["NAME_CONTRACT_STATUS_Canceled"])))) +
0.099844*np.tanh(((np.tanh(( data["avg_buro_buro_bal_status_2"])))+(((((-2.0)-(data["NAME_CONTRACT_STATUS_Refused"])))*(((( np.tanh(( data["cnt_FLAG_DOCUMENT_2"])))<(data["avg_buro_buro_bal_status_2"])) *1.))))))+
0.086166*np.tanh(((np.where(((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["AMT_ANNUITY_x"])))>(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])) *1.) >0, -1.0, data["FLAG_DOCUMENT_2"])) *(((((( data["AMT_ANNUITY_x"])+(( -1.0*(( 2.0)))))/2.0)) / 2.0)))) +
0.097265*np.tanh(np.where(-2.0>0, data["NAME_GOODS_CATEGORY_Insurance"],(( np.minimum(((np.tanh(( data["cnt_CNT_CHILDREN"])))) ,(( np.minimum(((np.tanh(( data["cnt_FLAG_OWN_CAR"])))) ,(( 3.0)))))))*(np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["AMT_GOODS_PRICE_x"])))))))+
0.098632*np.tanh(np.where(data["DAYS_LAST_DUE_1ST_VERSION"]>0,(((( data["cnt_FLAG_DOCUMENT_2"])-(data["NAME_CONTRACT_STATUS_Refused"])))/ 2.0), data["NAME_GOODS_CATEGORY_Insurance"])) +
0.099961*np.tanh(((((((( -3.0)>(((((( np.minimum(((data["NAME_CONTRACT_TYPE_Revolving_loans"])) ,(((((data["AMT_CREDIT_y"])>(3.0)) *1.))))) +(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)) -(data["AMT_CREDIT_y"])))) *1.))* 2.0)) * 2.0)) +
0.099726*np.tanh(((( -1.0*(((((data["DAYS_LAST_DUE_1ST_VERSION"])>(3.0)) *1.))))) -(( -1.0*(((-1.0*(((( np.minimum(((((data["DAYS_LAST_DUE_1ST_VERSION"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *(data["NAME_SELLER_INDUSTRY_Connectivity"])))))))))))+
0.099726*np.tanh(((data["NAME_GOODS_CATEGORY_Insurance"])-(np.maximum(((np.tanh(((((( data["AMT_ANNUITY_x"])-(data["cc_bal_CNT_DRAWINGS_CURRENT"])))+(-2.0)))))) ,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])))))) +
0.093748*np.tanh(((((((data["AMT_REQ_CREDIT_BUREAU_QRT"])/ 2.0)) -(((data["AMT_CREDIT_x"])* 2.0)))) *(((data["AMT_REQ_CREDIT_BUREAU_QRT"])/ 2.0)))) +
0.099492*np.tanh(((((( np.tanh(((( -2.0)*(((((( data["AMT_GOODS_PRICE_x"])+(((data["AMT_GOODS_PRICE_x"])* 2.0)))/2.0)) *(((data["AMT_ANNUITY_x"])/ 2.0)))))))) +(data["cnt_FLAG_WORK_PHONE"])) /2.0)) *(data["AMT_GOODS_PRICE_x"])))+
0.099922*np.tanh(((((((-1.0*(( np.tanh(((-1.0*(((((((( np.tanh(( data["cnt_FLAG_DOCUMENT_2"])))>(( 10.0)))*1.))+(( -1.0*(( data["AMT_CREDIT_x"])))))/2.0)))))))))) >(data["te_NAME_EDUCATION_TYPE"])) *1.))*(data["AMT_CREDIT_x"])))+
0.099531*np.tanh(((((((-1.0*(( data["FLAG_DOCUMENT_18"])))) +(np.minimum(((data["NAME_EDUCATION_TYPE"])) ,(((-1.0*(((((np.where(-1.0>0, -3.0, data["FLAG_DOCUMENT_14"])) +(data["NAME_CASH_LOAN_PURPOSE_Furniture"])) /2.0)))))))))/2.0)) / 2.0)) +
0.087143*np.tanh(((((np.where(data["CODE_GENDER"]>0, data["FLAG_DOCUMENT_11"], 2.0)) -(data["CODE_GENDER"])))*(data["cnt_FLAG_DOCUMENT_11"])))+
0.099844*np.tanh(np.where(data["cnt_FLAG_DOCUMENT_17"]>0,(((data["SK_DPD"])>(((((np.tanh(( data["NAME_GOODS_CATEGORY_Insurance"])))-(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)))) +(( 13.44596672058105469)))))*1.) , data["cnt_FLAG_DOCUMENT_17"])) +
0.099922*np.tanh(((((( data["cu__currency_3"])+(((( 0.0)>(np.maximum(((np.tanh(( data["AMT_DOWN_PAYMENT"])))) ,(((-1.0*(( data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])))))))) *1.))) /2.0)) -(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(-3.0)))))+
0.099609*np.tanh(np.tanh(((( np.where(((( data["AMT_REQ_CREDIT_BUREAU_YEAR"])+(-2.0)) /2.0)>0, data["CNT_INSTALMENT"], np.minimum(((data["cc_bal_CNT_DRAWINGS_CURRENT"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))))/ 2.0)))) +
0.099883*np.tanh(((np.maximum(((( -1.0*(((( data["inst_AMT_PAYMENT"])/ 2.0)))))) ,(( np.where(np.where(0.0>0, -3.0, data["PRODUCT_COMBINATION_Cash_X_Sell__low"])>0, -3.0,(( data["inst_AMT_PAYMENT"])/ 2.0)))))) / 2.0)) +
0.077648*np.tanh(( -1.0*(((((((2.0)<(((np.maximum(((np.maximum(((((((( -1.0)>(data["cnt_FLAG_DOCUMENT_2"])) *1.))/ 2.0))),(( data["AMT_REQ_CREDIT_BUREAU_YEAR"]))))),(( data["inst_AMT_PAYMENT"])))) * 2.0)))*1.))/ 2.0)))))+
0.089879*np.tanh(( -1.0*(((((((data["AMT_DOWN_PAYMENT"])+(np.tanh(((((((((data["AMT_DOWN_PAYMENT"])*(data["OCCUPATION_TYPE"])))+(data["NAME_CLIENT_TYPE_Refreshed"])) /2.0)) * 2.0)))))/2.0)) *(data["OCCUPATION_TYPE"])))))) +
0.099922*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["FLAG_DOCUMENT_6"],(((data["FLAG_DOCUMENT_2"])+(np.where(data["NAME_CLIENT_TYPE_Refreshed"]>0,(-1.0*(( data["te_FLAG_DOCUMENT_6"]))), 0.0)))/2.0)))+
0.099648*np.tanh(((((( data["AMT_DOWN_PAYMENT"])+(((data["AMT_DOWN_PAYMENT"])*(((data["SK_ID_PREV_x"])/ 2.0)))))) >(((((( data["AMT_DOWN_PAYMENT"])+(data["FLAG_DOCUMENT_2"])))>(((( 0.0)) * 2.0)))*1.))) *1.))+
0.100000*np.tanh(((( -1.0*(( np.where(((((data["cnt_FLAG_DOCUMENT_2"])/ 2.0)) +(data["ca__Bad_debt"])) >0, data["te_OCCUPATION_TYPE"],(((data["te_OCCUPATION_TYPE"])<(( -1.0*(((-1.0*(( data["te_OCCUPATION_TYPE"])))))))) *1.))))))/ 2.0)) +
0.093005*np.tanh(((( data["cnt_FLAG_DOCUMENT_2"])<(((data["NAME_GOODS_CATEGORY_Insurance"])*(((data["cnt_FLAG_DOCUMENT_2"])+(np.where(((data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])-(-1.0)) >0, data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"], np.tanh(( data["cnt_FLAG_DOCUMENT_2"])))))))))*1.))+
0.099375*np.tanh(((np.where(data["cc_bal_CNT_DRAWINGS_CURRENT"]>0,(((-1.0*(((((data["NAME_GOODS_CATEGORY_Fitness"])<(data["cc_bal_CNT_DRAWINGS_CURRENT"])) *1.))))) / 2.0), data["cc_bal_CNT_DRAWINGS_CURRENT"])) / 2.0)) +
0.099844*np.tanh(((((((data["cc_bal_AMT_BALANCE"])>(data["cc_bal_AMT_TOTAL_RECEIVABLE"])) *1.))+(np.minimum(((((((data["NAME_GOODS_CATEGORY_Insurance"])-(((data["NAME_GOODS_CATEGORY_Gardening"])/ 2.0)))) / 2.0))),(( data["cc_bal_AMT_TOTAL_RECEIVABLE"])))))/2.0)) +
0.098515*np.tanh(((((((( np.maximum(((3.0)) ,(((( data["DAYS_FIRST_DUE"])*(data["NAME_GOODS_CATEGORY_Fitness"])))))) <(((data["AMT_CREDIT_x"])* 2.0)))*1.))-(((( data["NAME_GOODS_CATEGORY_Weapon"])+(data["NAME_GOODS_CATEGORY_Fitness"])) /2.0)))) / 2.0)) +
0.099922*np.tanh(( -1.0*(((((data["NAME_SELLER_INDUSTRY_MLM_partners"])+(((( 1.0)<(((data["AMT_GOODS_PRICE_x"])-(((((( -1.0*(( np.tanh(( data["AMT_GOODS_PRICE_x"])))))) / 2.0)) *(( -1.0*(( -3.0)))))))))*1.))) /2.0)))))+
0.099140*np.tanh(((((((((data["AMT_CREDIT_x"])+(((((data["AMT_CREDIT_x"])/ 2.0)) / 2.0)))/2.0)) >(((( data["ca__Bad_debt"])+(np.tanh(((8.0)))))/2.0)))*1.))/ 2.0)) +
0.099218*np.tanh(((((np.where(np.where(data["SK_ID_PREV_x"]>0, data["cnt_FLAG_CONT_MOBILE"],(( data["DAYS_FIRST_DUE"])*(data["cnt_FLAG_CONT_MOBILE"])))>0, data["cnt_FLAG_CONT_MOBILE"],(-1.0*(( data["FLAG_CONT_MOBILE"])))))/ 2.0)) * 2.0)) +
0.099883*np.tanh(( -1.0*(( np.where(data["cc_bal_cc_bal_status__Sent_proposal"]>0, np.maximum(((np.maximum(((((( 2.0)<(data["AMT_GOODS_PRICE_x"])) *1.))) ,(((-1.0*(( data["FLAG_DOCUMENT_2"])))))))) ,(( data["cc_bal_cc_bal_status__Sent_proposal"]))),(( data["FLAG_DOCUMENT_2"])* 2.0)))))) +
0.099922*np.tanh(((( 6.36812734603881836)) *(((((np.maximum(((data["AMT_CREDIT_MAX_OVERDUE"])) ,(((((((( data["AMT_CREDIT_MAX_OVERDUE"])* 2.0)) *(( 14.96181964874267578)))) * 2.0)))))* 2.0)) * 2.0)))) +
0.060571*np.tanh(np.where(data["WALLSMATERIAL_MODE"]>0, data["NAME_GOODS_CATEGORY_Direct_Sales"],(((((1.0)+(np.tanh(( np.tanh(( data["cnt_NAME_INCOME_TYPE"])))))))+(data["WALLSMATERIAL_MODE"])) /2.0)))+
0.099844*np.tanh(np.tanh(((((((( data["NAME_INCOME_TYPE"])<(1.0)) *1.))<(np.where(data["NAME_INCOME_TYPE"]>0, data["AMT_CREDIT_x"], np.minimum(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0))),(((((-1.0*(( 0.0)))) / 2.0)))))))*1.))))+
0.099922*np.tanh(((( -1.0)+(((((((data["AMT_GOODS_PRICE_x"])>(np.tanh(((((( -3.0)*(-3.0)))*(data["cnt_FLAG_DOCUMENT_2"])))))) *1.))>(data["AMT_GOODS_PRICE_x"])) *1.))) /2.0)) +
0.099844*np.tanh(((( data["AMT_CREDIT_x"])>(np.where(np.maximum(((data["FLAG_DOCUMENT_2"])) ,(((((data["AMT_CREDIT_x"])+(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])) /2.0)))) >0, 3.0, data["cnt_FLAG_DOCUMENT_2"])))*1.))+
0.099883*np.tanh(np.tanh(( np.where(((( -3.0)>(((data["SK_ID_BUREAU"])*(data["AMT_CREDIT_x"])))) *1.) >0, data["AMT_CREDIT_x"],(((( data["SK_ID_BUREAU"])*(data["AMT_CREDIT_x"])))/ 2.0)))))+
0.099766*np.tanh(((np.minimum(((((((np.tanh(( 1.0)))-(data["avg_buro_buro_bal_status_1"])))-(data["avg_buro_buro_bal_status_1"])))) ,(( data["avg_buro_buro_bal_status_1"])))) *(((data["SK_ID_BUREAU"])/ 2.0)))) +
0.099844*np.tanh(((((((np.where(((( 2.0)<(data["SK_ID_BUREAU"])) *1.) >0,(10.58298397064208984), data["NAME_GOODS_CATEGORY_Insurance"])) * 2.0)) * 2.0)) * 2.0)) +
0.099922*np.tanh(((((((np.minimum(((data["cc_bal_cc_bal_status__Refused"])) ,(((-1.0*(( data["avg_buro_buro_bal_status_1"])))))))-(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, -1.0, data["avg_buro_buro_bal_status_1"])))) *(data["avg_buro_buro_bal_status_1"])))+(data["cc_bal_cc_bal_status__Refused"])))+
0.099492*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["te_FLAG_DOCUMENT_3"],(((( data["te_FLAG_DOCUMENT_3"])+(data["te_FLAG_DOCUMENT_3"])))*(( -1.0*(( np.where(((( 2.0)>(data["AMT_CREDIT_x"])) *1.) >0, 0.0,(13.56991291046142578)))))))))+
0.098828*np.tanh(((( 1.0)<(((((( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, np.where(data["AMT_CREDIT_x"]>0, data["cnt_FLAG_DOCUMENT_2"], data["NAME_GOODS_CATEGORY_Direct_Sales"]),(( data["AMT_CREDIT_x"])/ 2.0)))/ 2.0)) +(data["AMT_CREDIT_x"])) /2.0)))*1.))+
0.099805*np.tanh(( -1.0*(( np.where(((((data["AMT_REQ_CREDIT_BUREAU_MON"])* 2.0)) *(data["CHANNEL_TYPE_Car_dealer"])) >0,(((((data["AMT_GOODS_PRICE_x"])/ 2.0)) +(data["CHANNEL_TYPE_Car_dealer"])) /2.0),(( 1.0)*(0.0)))))))+
0.081594*np.tanh(np.where(np.where(data["cnt_ORGANIZATION_TYPE"]>0,(4.0), data["FLAG_DOCUMENT_3"])>0, np.tanh(((((np.tanh(((( data["AMT_CREDIT_x"])/ 2.0)))) +(( -1.0*(( data["ty__Another_type_of_loan"])))))/2.0))), data["FLAG_DOCUMENT_3"])) +
0.100000*np.tanh(np.where(data["AMT_GOODS_PRICE_x"]>0,(( data["te_NAME_CONTRACT_TYPE"])/ 2.0),(-1.0*(((((((data["te_NAME_CONTRACT_TYPE"])<(-1.0)) *1.))*(data["AMT_GOODS_PRICE_x"])))))))+
0.092380*np.tanh(((data["cnt_FLAG_DOCUMENT_8"])-(((((1.0)*(((( data["AMT_GOODS_PRICE_x"])>(2.0)) *1.))))+(data["te_FLAG_DOCUMENT_8"])))))+
0.094920*np.tanh(((((((((data["te_FLAG_DOCUMENT_2"])<(0.0)) *1.))>(data["cnt_ORGANIZATION_TYPE"])) *1.))-(((( data["cnt_ORGANIZATION_TYPE"])<(np.maximum(((-2.0)) ,(((-1.0*(( data["te_FLAG_DOCUMENT_17"])))))))) *1.))))+
0.100000*np.tanh(np.where(( -1.0*(( data["BASEMENTAREA_MEDI"])))>0, data["FLAG_DOCUMENT_8"], np.tanh(((((((data["BASEMENTAREA_MEDI"])+(data["FLAG_DOCUMENT_8"])) /2.0)) *(data["cnt_REG_REGION_NOT_WORK_REGION"])))))) +
0.099648*np.tanh(((((( 3.0)<(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(( data["te_REG_REGION_NOT_LIVE_REGION"])* 2.0), 2.0)))*1.))-(((((( data["te_WALLSMATERIAL_MODE"])>(((( 3.0)>(data["cnt_EMERGENCYSTATE_MODE"])) *1.))) *1.))* 2.0)))) +
0.099844*np.tanh(((( -1.0*(((((np.minimum(((data["cnt_FLAG_DOCUMENT_2"])) ,(( data["FLOORSMAX_AVG"])))) +(( -1.0*(( data["FLOORSMAX_AVG"])))))/2.0)))))-(((( data["FLOORSMAX_MEDI"])>(((2.0)/ 2.0)))*1.))))+
0.099453*np.tanh(((((((((((-1.0*(((( data["FLOORSMAX_AVG"])/ 2.0)))))/ 2.0)) >(((((( data["FLOORSMAX_MEDI"])/ 2.0)) <(((data["FLOORSMAX_MODE"])/ 2.0)))*1.))) *1.))-(((data["FLOORSMAX_MODE"])/ 2.0)))) / 2.0)) +
0.099492*np.tanh(( -1.0*(((((data["te_REG_REGION_NOT_LIVE_REGION"])>(((((np.maximum(((data["te_REG_REGION_NOT_LIVE_REGION"])) ,(( 1.0)))) +(( -1.0*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((1.0)/ 2.0)))))))))+(data["AMT_CREDIT_x"])))) *1.))))) +
0.079406*np.tanh(np.where(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((( data["AMT_REQ_CREDIT_BUREAU_MON"])+(data["cnt_FLAG_DOCUMENT_5"])) /2.0)))) * 2.0)>0,(((((data["cnt_FLAG_DOCUMENT_5"])<(data["AMT_REQ_CREDIT_BUREAU_MON"])) *1.))*(( 1.60125052928924561))),(( data["cnt_NAME_TYPE_SUITE"])/ 2.0)))+
0.099726*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["AMT_REQ_CREDIT_BUREAU_MON"],(( np.minimum(((( 9.0))),(((-1.0*(((((((( 14.71726322174072266)) -(data["AMT_REQ_CREDIT_BUREAU_MON"])))<(data["AMT_REQ_CREDIT_BUREAU_MON"])) *1.))))))))* 2.0)))+
0.099766*np.tanh(np.maximum(((((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)) >(((((( -1.0)/ 2.0)) <(data["AMT_GOODS_PRICE_x"])) *1.))) *1.))) ,(((( data["cnt_FLAG_DOCUMENT_2"])* 2.0)))))+
0.099531*np.tanh(np.where(data["cnt_FLAG_DOCUMENT_17"]>0,(((((((( data["cnt_FLAG_DOCUMENT_17"])/ 2.0)) -(data["NAME_GOODS_CATEGORY_Weapon"])))*(data["FLAG_DOCUMENT_3"])))* 2.0), data["cnt_FLAG_DOCUMENT_17"])) +
0.096991*np.tanh(np.minimum(((((((-1.0*(((((((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])/ 2.0)) / 2.0)) * 2.0)))))+(((data["AMT_GOODS_PRICE_x"])*(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) /2.0))),(((((4.0)) * 2.0)))))+
0.099414*np.tanh(np.maximum(((data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) ,(((((((((8.98015975952148438)) *(((((((3.0)) +(np.minimum(((((data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])/ 2.0))),(( 3.0)))))) <(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) *1.))))* 2.0)) * 2.0)))))+
0.099179*np.tanh(((((np.maximum(((data["FLAG_DOCUMENT_2"])) ,(((((data["NAME_TYPE_SUITE"])>(3.0)) *1.))))) *(3.0)))-(((data["CHANNEL_TYPE_Car_dealer"])/ 2.0)))) +
0.092927*np.tanh(((np.where(data["cc_bal_cc_bal_status__Refused"]>0, data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"],(( data["NONLIVINGAPARTMENTS_MODE"])-(data["cnt_FLAG_DOCUMENT_2"])))) * 2.0)) +
0.099570*np.tanh(((((np.where(data["cc_bal_cc_bal_status__Refused"]>0,(((-1.0*(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) / 2.0),(( np.tanh(( np.tanh(((( data["PRODUCT_COMBINATION_Cash"])* 2.0)))))) / 2.0)))-(data["NAME_GOODS_CATEGORY_Weapon"])))-(( 0.0)))) +
0.099609*np.tanh(((( data["NAME_CONTRACT_STATUS_Approved"])>(((((-1.0*(( data["FLAG_DOCUMENT_10"])))) >(np.where(data["PRODUCT_COMBINATION_Cash_Street__high"]>0,(((data["NAME_CONTRACT_STATUS_Approved"])+(data["NAME_CONTRACT_STATUS_Canceled"])) /2.0), -1.0)))*1.))) *1.))+
0.099218*np.tanh(np.tanh(((( data["cc_bal_cc_bal_status__Refused"])-(((( np.where(data["cc_bal_cc_bal_status__Refused"]>0,(( data["AMT_DOWN_PAYMENT"])-(-2.0)) , data["NAME_CONTRACT_STATUS_Canceled"])) <(data["NAME_CONTRACT_STATUS_Canceled"])) *1.))))))+
0.083548*np.tanh(np.maximum(((((((np.where(data["NAME_CASH_LOAN_PURPOSE_Furniture"]>0, data["Returned_to_the_store"], np.tanh(( -3.0)))) * 2.0)) +(data["avg_buro_buro_count"])))) ,(((((((( 1.0)+(data["avg_buro_buro_count"])) /2.0)) <(0.0)) *1.))))) +
0.099805*np.tanh(((((np.where(( -1.0*(( data["EXT_SOURCE_3"])))>0,(((((3.0)+(data["cnt_NAME_EDUCATION_TYPE"])) /2.0)) *(data["NAME_CASH_LOAN_PURPOSE_Furniture"])) ,(-1.0*(((( np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))* 2.0)))))) * 2.0)) * 2.0)) +
0.099922*np.tanh(((( -1.0*(((((data["NAME_GOODS_CATEGORY_Insurance"])>(((( data["EXT_SOURCE_3"])<(data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])) *1.))) *1.))))) +(((( data["EXT_SOURCE_3"])<(-2.0)) *1.))))+
0.089136*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Furniture"]>0, data["AMT_REQ_CREDIT_BUREAU_MON"],(( data["AMT_REQ_CREDIT_BUREAU_WEEK"])*(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])) ,(((((( np.tanh(( -3.0)))+(data["AMT_REQ_CREDIT_BUREAU_MON"])))* 2.0)))))))) +
0.099766*np.tanh(np.tanh(((( np.where(data["avg_buro_MONTHS_BALANCE"]>0,(((np.minimum(((-2.0)) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) +(1.0)) /2.0),(( data["NAME_GOODS_CATEGORY_Insurance"])+(((( 0.0)<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))))) / 2.0)))) +
0.099453*np.tanh(((data["Returned_to_the_store"])*(((((( data["Returned_to_the_store"])>(np.minimum(((data["ty__Credit_card"])) ,(((( data["NAME_PAYMENT_TYPE_Cashless_from_the_account_of_the_employer"])*(data["DAYS_REGISTRATION"])))))))*1.))-(data["DAYS_REGISTRATION"])))))+
0.100000*np.tanh(((( -1.0*(((((data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])+(((((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(-1.0)))) /2.0)) +(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)))/2.0)))))/ 2.0)) +
0.097968*np.tanh(np.minimum(((( -1.0*(( data["NAME_PAYMENT_TYPE_Cashless_from_the_account_of_the_employer"]))))),(((((((((np.minimum(((data["NAME_PAYMENT_TYPE_Cashless_from_the_account_of_the_employer"])) ,(( 2.0)))) +(data["PRODUCT_COMBINATION_Cash"])) /2.0)) / 2.0)) / 2.0)))))+
0.099336*np.tanh(((((( -1.0*(( np.minimum(((((data["NAME_GOODS_CATEGORY_Education"])* 2.0))),(( data["NAME_GOODS_CATEGORY_Education"])))))))+(((((((( data["CNT_INSTALMENT"])+(data["NAME_CASH_LOAN_PURPOSE_Furniture"])) /2.0)) *(data["NAME_GOODS_CATEGORY_Direct_Sales"])))* 2.0)))) * 2.0)) +
0.097694*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0,(((data["te_REG_CITY_NOT_WORK_CITY"])>(1.0)) *1.) ,(((( 2.80854535102844238)) <(((np.maximum(((1.0)) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))) *(np.maximum(((data["AMT_CREDIT_y"])) ,(( data["FLAG_DOCUMENT_10"])))))))*1.))) +
0.099570*np.tanh(((np.minimum(((((((data["NAME_GOODS_CATEGORY_Fitness"])* 2.0)) * 2.0))),(( np.tanh(( np.minimum(((data["NAME_GOODS_CATEGORY_Fitness"])) ,(((( 2.0)-(data["te_LIVE_CITY_NOT_WORK_CITY"])))))))))))*(data["REG_CITY_NOT_WORK_CITY"])))+
0.071082*np.tanh(((np.tanh(( np.tanh(((((data["cnt_FLAG_DOCUMENT_10"])+(((( data["cnt_REG_REGION_NOT_WORK_REGION"])<(data["REG_REGION_NOT_WORK_REGION"])) *1.))) /2.0)))))) -(data["NAME_GOODS_CATEGORY_Fitness"])))+
0.099922*np.tanh(((((np.where(((( data["FLAG_DOCUMENT_10"])>(data["CODE_REJECT_REASON_VERIF"])) *1.) >0, data["PRODUCT_COMBINATION_Cash_Street__low"],(((3.0)+(2.0)) /2.0)))*(data["te_REG_REGION_NOT_LIVE_REGION"])))/ 2.0)) +
0.030520*np.tanh(((((( data["cnt_FLAG_DOCUMENT_10"])+(((((((-1.0*(((( data["NAME_GOODS_CATEGORY_Weapon"])-(data["FLAG_DOCUMENT_2"])))))) <(( -1.0*(( data["cnt_FLAG_DOCUMENT_10"])))))*1.))-(data["NAME_GOODS_CATEGORY_Weapon"])))))+(data["FLAG_DOCUMENT_2"])) /2.0)) +
0.096561*np.tanh(((np.minimum(((((((( data["cnt_FLAG_DOCUMENT_13"])+(1.0)) /2.0)) +(data["FLAG_WORK_PHONE"])))) ,(((((((data["cnt_FLAG_DOCUMENT_10"])>(((((-1.0*(( data["AMT_GOODS_PRICE_x"])))) <(0.0)) *1.))) *1.))/ 2.0)))))/ 2.0)) +
0.099883*np.tanh(((( -1.0)>(np.where(data["AMT_CREDIT_x"]>0,(((((3.0)+(2.0)) /2.0)) *(data["AMT_INCOME_TOTAL"])) ,(-1.0*(( data["AMT_INCOME_TOTAL"])))))) *1.))+
0.099414*np.tanh(np.minimum(((data["cc_bal_SK_DPD"])) ,(( np.minimum(((((data["AMT_CREDIT_x"])*(((( data["cnt_FLAG_DOCUMENT_10"])<(data["cc_bal_SK_DPD"])) *1.))))) ,(((( data["AMT_CREDIT_x"])+(np.tanh(( np.maximum(((2.0)) ,(( data["cc_bal_cc_bal_status__Refused"])))))))))))))) +
0.078703*np.tanh(((( data["ca__Bad_debt"])+(( -1.0*(((((data["AMT_GOODS_PRICE_x"])>(((np.maximum(((-2.0)) ,(( np.minimum(((2.0)) ,(((( data["NAME_SELLER_INDUSTRY_Construction"])/ 2.0)))))))) * 2.0)))*1.))))))/2.0)) +
0.087691*np.tanh(((((((((((data["FLAG_DOCUMENT_10"])>(np.tanh(( data["AMT_CREDIT_x"])))) *1.))*(((( 3.0)) *(((data["FLAG_DOCUMENT_10"])*(( 8.92413711547851562)))))))) <(data["AMT_CREDIT_x"])) *1.))/ 2.0)) +
0.099883*np.tanh(np.minimum(((((data["AMT_GOODS_PRICE_x"])*(np.tanh(((((data["DAYS_FIRST_DUE"])<(data["AMT_ANNUITY_x"])) *1.))))))) ,(((-1.0*(( data["FLAG_DOCUMENT_15"])))))))+
0.099922*np.tanh(np.maximum(((((((2.0)) <(np.maximum(((((np.where(2.0>0, data["NAME_YIELD_GROUP_XNA"], data["cnt_FLAG_DOCUMENT_10"])) *(data["AMT_ANNUITY_x"])))) ,(( 2.0)))))*1.))) ,(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])*(data["AMT_GOODS_PRICE_x"])))))) +
0.095193*np.tanh(np.tanh(((((((( 1.21274137496948242)) +(data["AMT_ANNUITY_x"])))<(((( data["AMT_ANNUITY_x"])>(data["AMT_GOODS_PRICE_x"])) *1.))) *1.))))+
0.082337*np.tanh(np.minimum(((((data["AMT_CREDIT_x"])/ 2.0))),(( np.tanh(( np.tanh(((-1.0*(( np.maximum(((((data["FLAG_DOCUMENT_10"])* 2.0))),(( data["AMT_INCOME_TOTAL"])))))))))))))) +
0.067370*np.tanh(np.where(data["AMT_GOODS_PRICE_x"]>0, data["AMT_CREDIT_SUM_DEBT"],(((((( data["AMT_GOODS_PRICE_x"])<(data["AMT_CREDIT_SUM_DEBT"])) *1.))+(np.tanh(( data["AMT_CREDIT_SUM_DEBT"])))) /2.0)))+
0.098085*np.tanh(np.minimum(((data["ty__Mortgage"])) ,(((((-1.0*(((((data["ty__Mortgage"])>(((((((data["NAME_CONTRACT_STATUS_Refused"])>(0.0)) *1.))+(((data["AMT_INCOME_TOTAL"])/ 2.0)))/2.0)))*1.))))) / 2.0)))))+
0.099961*np.tanh(np.maximum(((((np.maximum(((data["cnt_FLAG_DOCUMENT_10"])) ,(( data["AMT_INCOME_TOTAL"])))) *(data["DAYS_FIRST_DUE"])))) ,(((((((-2.0)<(((-3.0)+(data["AMT_INCOME_TOTAL"])))) *1.))-(( 0.17902497947216034)))))))+
0.099844*np.tanh(np.where(((((((data["NAME_SELLER_INDUSTRY_Construction"])+(((1.0)+(data["AMT_CREDIT_SUM"])))) /2.0)) >(data["AMT_CREDIT_SUM"])) *1.) >0, np.where(data["NAME_CONTRACT_STATUS_Refused"]>0, data["AMT_CREDIT_SUM"], 0.0), data["AMT_CREDIT_x"])) +
0.088785*np.tanh(np.maximum(((((( np.tanh(( np.where(data["OWN_CAR_AGE"]>0,(( data["ty__Mortgage"])*(-1.0)) , -1.0)))) >(data["OWN_CAR_AGE"])) *1.))) ,(((( data["OWN_CAR_AGE"])/ 2.0)))))+
0.085033*np.tanh(((np.minimum(((((data["te_FLAG_OWN_CAR"])*(((((( data["CODE_REJECT_REASON_VERIF"])+(data["NAME_SELLER_INDUSTRY_Construction"])))>(data["CODE_REJECT_REASON_VERIF"])) *1.))))) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))) -(((data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)))) +
0.099453*np.tanh(np.tanh(((((((data["AMT_CREDIT_x"])<(data["PRODUCT_COMBINATION_POS_mobile_without_interest"])) *1.))*(data["CODE_REJECT_REASON_VERIF"])))))+
0.099883*np.tanh(((((((((data["AMT_CREDIT_SUM"])/ 2.0)) +(data["AMT_CREDIT_SUM"])) /2.0)) >(((((((((( data["AMT_CREDIT_SUM"])* 2.0)) * 2.0)) +(-3.0)) /2.0)) -(np.minimum(((-2.0)) ,(( 3.0)))))))*1.))+
0.096717*np.tanh(np.tanh(((((( data["AMT_CREDIT_SUM"])*(data["SK_ID_BUREAU"])))+(((np.minimum(((data["SK_ID_BUREAU"])) ,(( np.tanh(((3.93321013450622559)))))))/ 2.0)))))) +
0.076202*np.tanh(np.maximum(((-2.0)) ,(((( data["AMT_CREDIT_SUM"])*(np.where(( -1.0*(( data["te_FLAG_OWN_CAR"])))>0, np.tanh(( np.tanh(( data["cnt_FLAG_OWN_CAR"])))) , np.minimum(((data["AMT_CREDIT_SUM"])) ,(((-1.0*(( -3.0)))))))))))))+
0.099844*np.tanh(((((((((((data["AMT_CREDIT_MAX_OVERDUE"])-(data["FLAG_DOCUMENT_2"])))* 2.0)) * 2.0)) * 2.0)) * 2.0)) +
0.083118*np.tanh(np.maximum(((((( data["PRODUCT_COMBINATION_POS_household_with_interest"])+(-2.0)) /2.0))),(( np.maximum(((((( data["PRODUCT_COMBINATION_POS_household_with_interest"])+(-2.0)) /2.0))),(( np.where(data["DAYS_CREDIT"]>0,(-1.0*(( data["CODE_REJECT_REASON_VERIF"]))),(-1.0*(( data["AMT_CREDIT_SUM"])))))))))))+
0.057093*np.tanh(np.where(((data["DAYS_LAST_DUE_1ST_VERSION"])/ 2.0)>0, np.tanh(((((( data["AMT_CREDIT_x"])/ 2.0)) / 2.0))), np.minimum(((((( data["DAYS_CREDIT"])+(data["AMT_CREDIT_x"])) /2.0))),(( 0.0)))))+
0.099726*np.tanh(np.minimum(((((data["AMT_ANNUITY_x"])*(data["AMT_GOODS_PRICE_x"])))) ,(( np.tanh(( np.tanh(( np.tanh(((((((data["cnt_FLAG_DOCUMENT_10"])-(data["AMT_GOODS_PRICE_x"])))+(((data["AMT_ANNUITY_x"])/ 2.0)))/2.0)))))))))))+
0.099453*np.tanh(((np.minimum(((((( data["FLAG_DOCUMENT_2"])>(((data["cc_bal_cc_bal_status__Refused"])+(data["FLAG_DOCUMENT_2"])))) *1.))) ,(( np.tanh(((((( -1.0*(( -2.0)))) <(data["AMT_GOODS_PRICE_x"])) *1.))))))) * 2.0)) +
0.097186*np.tanh(((np.where(data["cc_bal_cc_bal_status__Refused"]>0, data["NAME_GOODS_CATEGORY_Insurance"],(( np.maximum(((data["cc_bal_cc_bal_status__Refused"])) ,(((((( data["EXT_SOURCE_3"])+(data["EXT_SOURCE_3"])))/ 2.0)))))*(((((data["DAYS_LAST_DUE_1ST_VERSION"])/ 2.0)) * 2.0)))))* 2.0)) +
0.099805*np.tanh(((np.where(data["DAYS_LAST_DUE_1ST_VERSION"]>0, data["NAME_PAYMENT_TYPE_Cash_through_the_bank"],(((data["NAME_PORTFOLIO_Cards"])>(((( data["NAME_PAYMENT_TYPE_XNA"])<(((( 0.0)+(((data["PRODUCT_COMBINATION_Card_X_Sell"])+(0.0)))) /2.0)))*1.))) *1.))) / 2.0)) +
0.079445*np.tanh(((( np.where(data["NAME_CONTRACT_STATUS_Refused"]>0, data["FLAG_DOCUMENT_2"],(( data["cc_bal_CNT_DRAWINGS_CURRENT"])/ 2.0)))+(np.tanh(((((data["AMT_CREDIT_x"])+(np.minimum(((data["cc_bal_CNT_DRAWINGS_CURRENT"])) ,(( data["cc_bal_CNT_DRAWINGS_CURRENT"])))))/2.0)))))/2.0)) +
0.099922*np.tanh(np.maximum(((np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( np.tanh(( data["inst_AMT_PAYMENT"]))))))),(((( np.minimum(((((( data["AMT_GOODS_PRICE_x"])<(data["AMT_ANNUITY_x"])) *1.))) ,(((( data["AMT_GOODS_PRICE_x"])-(((data["inst_AMT_PAYMENT"])* 2.0)))))))/ 2.0)))))+
0.099648*np.tanh(np.tanh(( np.where(((((-1.0*(( np.minimum(((data["CNT_INSTALMENT_FUTURE"])) ,(((((( 13.17097568511962891)) <(-3.0)) *1.))))))))<(data["PRODUCT_COMBINATION_Cash"])) *1.) >0,(-1.0*(( data["AMT_GOODS_PRICE_x"]))), 0.0)))) +
0.098437*np.tanh(np.minimum(((0.0)) ,(((-1.0*(((((((((data["CODE_REJECT_REASON_XAP"])/ 2.0)) +(data["CODE_REJECT_REASON_HC"])))>(2.0)) *1.))))))))+
0.084564*np.tanh(np.minimum(((np.tanh(( data["cc_bal_cc_bal_status__Refused"])))) ,(((((data["CNT_PAYMENT"])+(((((0.0)) <(np.minimum(((2.0)) ,(( data["cc_bal_cc_bal_status__Refused"])))))*1.))) /2.0)))))+
0.099883*np.tanh(((((((data["AMT_CREDIT_x"])*(np.maximum(((data["cc_bal_SK_DPD"])) ,(((((0.0)<(((np.tanh(( data["NAME_GOODS_CATEGORY_Insurance"])))/ 2.0)))*1.))))))) / 2.0)) / 2.0)) +
0.099297*np.tanh(((( data["AMT_CREDIT_x"])>(((data["AMT_DOWN_PAYMENT"])-(((((data["AMT_DOWN_PAYMENT"])*(data["CODE_REJECT_REASON_VERIF"])))+(-2.0)))))) *1.))+
0.098984*np.tanh(((np.minimum(((((np.minimum(((((( 7.0)) / 2.0))),(((( data["AMT_GOODS_PRICE_x"])* 2.0)))))*(data["CODE_REJECT_REASON_VERIF"])))) ,(( np.tanh(( 0.0)))))) *(((np.tanh(( data["AMT_ANNUITY_x"])))* 2.0)))) +
0.090543*np.tanh(((( data["AMT_DOWN_PAYMENT"])>(np.tanh(((((2.0)>(data["AMT_CREDIT_x"])) *1.))))) *1.))+
0.099844*np.tanh(((data["CODE_REJECT_REASON_VERIF"])*(((((data["AMT_CREDIT_x"])+(((( -2.0)+(np.tanh(( data["cnt_FLAG_DOCUMENT_10"])))) /2.0)))) *(data["CODE_REJECT_REASON_VERIF"])))))+
0.098671*np.tanh(( -1.0*(((((-3.0)>(((((np.minimum(((data["cnt_FLAG_DOCUMENT_2"])) ,(( data["RATE_DOWN_PAYMENT"])))) *(data["RATE_DOWN_PAYMENT"])))-(data["RATE_DOWN_PAYMENT"])))) *1.))))) +
0.099453*np.tanh(((((data["DAYS_FIRST_DRAWING"])+(((np.where(data["CHANNEL_TYPE_Car_dealer"]>0, data["CODE_REJECT_REASON_VERIF"],(-1.0*(( data["CODE_REJECT_REASON_VERIF"])))))*(( -1.0*(( data["CHANNEL_TYPE_Car_dealer"])))))))) *(data["CODE_REJECT_REASON_VERIF"])))+
0.099375*np.tanh(((((((( -1.0*(( np.tanh(((((( 4.0)) <(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) *1.))))))) *(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))+(data["NAME_GOODS_CATEGORY_Direct_Sales"])))*(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))+
0.095584*np.tanh(((((( 0.0)-(((((data["CODE_REJECT_REASON_VERIF"])*(data["AMT_CREDIT_x"])))* 2.0)))) +(((((((data["CODE_REJECT_REASON_VERIF"])*(data["AMT_CREDIT_x"])))* 2.0)) *(data["AMT_CREDIT_x"])))) /2.0)) +
0.099492*np.tanh(((((data["cnt_FLAG_DOCUMENT_14"])+(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["FLAG_DOCUMENT_2"])))*(data["AMT_ANNUITY_x"])))))+(((data["AMT_ANNUITY_x"])*(( -1.0*(( data["cnt_FLAG_DOCUMENT_14"])))))))) +
0.074326*np.tanh(((((((((np.tanh(((((data["AMT_CREDIT_x"])>(((( -1.0)<(-2.0)) *1.))) *1.))))+(data["AMT_CREDIT_x"])) /2.0)) +(((( -1.0*(( data["CODE_REJECT_REASON_VERIF"])))) +(data["cc_bal_cc_bal_status__Refused"])))) /2.0)) / 2.0)) +
0.099883*np.tanh(((data["AMT_ANNUITY_x"])*(((data["AMT_GOODS_PRICE_x"])*(((data["AMT_ANNUITY_x"])*(((data["cnt_FLAG_DOCUMENT_2"])*(np.minimum(((0.0)) ,(( np.minimum(((data["cnt_FLAG_DOCUMENT_2"])) ,(((-1.0*(((4.51322889328002930)))))))))))))))))))+
0.099805*np.tanh(((((np.where(data["AMT_CREDIT_MAX_OVERDUE"]>0, data["AMT_CREDIT_MAX_OVERDUE"],(-1.0*(((( data["NAME_GOODS_CATEGORY_Fitness"])+(((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])/ 2.0)))))))) *(2.0)))* 2.0)) +
0.086362*np.tanh(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])) ,(( np.minimum(((data["CHANNEL_TYPE_Stone"])) ,(( np.tanh(((( np.tanh(((( -1.0)+(((data["CHANNEL_TYPE_Stone"])/ 2.0)))))) / 2.0)))))))))) * 2.0)) +
0.099531*np.tanh(np.minimum(((np.where(data["NAME_GOODS_CATEGORY_Weapon"]>0, -3.0, np.tanh(((( data["FLAG_DOCUMENT_17"])* 2.0)))))) ,(((( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["FLAG_DOCUMENT_17"], data["cnt_FLAG_DOCUMENT_17"])) * 2.0)))))+
0.087182*np.tanh(((np.tanh(( np.minimum(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["WEEKDAY_APPR_PROCESS_START_SATURDAY"])))+(data["cnt_FLAG_DOCUMENT_17"])))) ,(( data["cnt_FLAG_DOCUMENT_10"])))))) +(((((data["WEEKDAY_APPR_PROCESS_START_SATURDAY"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))*(data["WEEKDAY_APPR_PROCESS_START_SATURDAY"])))))+
0.099687*np.tanh(((((np.tanh(((-1.0*(((((3.0)<(((((data["NAME_SELLER_INDUSTRY_Construction"])/ 2.0)) +(data["Amortized_debt"])))) *1.))))))) -(((data["NAME_SELLER_INDUSTRY_Construction"])*(data["FLAG_DOCUMENT_4"])))))*(data["NAME_SELLER_INDUSTRY_Construction"])))+
0.097538*np.tanh(((((((( data["NAME_CASH_LOAN_PURPOSE_Medicine"])/ 2.0)) -(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])))+(((( data["NAME_CASH_LOAN_PURPOSE_Medicine"])+(((((( 0.0)+(data["NAME_GOODS_CATEGORY_Construction_Materials"])))>(((( data["NAME_CASH_LOAN_PURPOSE_Medicine"])<(data["NAME_CASH_LOAN_PURPOSE_Medicine"])) *1.))) *1.))) /2.0)))/2.0)) +
0.096717*np.tanh(np.minimum(((((data["ty__Another_type_of_loan"])*(((data["NAME_GOODS_CATEGORY_Clothing_and_Accessories"])/ 2.0))))),(((((10.93089485168457031)) -(((data["NAME_GOODS_CATEGORY_Clothing_and_Accessories"])* 2.0)))))))+
0.099805*np.tanh(np.where(data["cc_bal_cc_bal_status__Refused"]>0,(-1.0*(((-1.0*(((( data["YEARS_BEGINEXPLUATATION_MEDI"])*(np.minimum(((np.minimum(((data["WEEKDAY_APPR_PROCESS_START_TUESDAY"])) ,(((-1.0*(( data["CODE_REJECT_REASON_VERIF"])))))))) ,(((-1.0*(( data["CODE_REJECT_REASON_VERIF"])))))))))))))) , data["CODE_REJECT_REASON_VERIF"])) +
0.099687*np.tanh(( -1.0*(((((( data["NAME_GOODS_CATEGORY_Education"])*(((data["HOUSETYPE_MODE"])*(((data["NAME_GOODS_CATEGORY_Insurance"])+(( 4.77548122406005859)))))))) +(((((14.97221946716308594)) <(data["CODE_REJECT_REASON_VERIF"])) *1.))))))) +
0.099726*np.tanh(((data["FONDKAPREMONT_MODE"])*(((np.tanh(((( data["NAME_GOODS_CATEGORY_Fitness"])*(((-2.0)*(np.maximum(((-2.0)) ,(((( data["FONDKAPREMONT_MODE"])*(data["WEEKDAY_APPR_PROCESS_START_TUESDAY"])))))))))))) * 2.0)))) +
0.070379*np.tanh(np.where(((((((data["FONDKAPREMONT_MODE"])+(data["WEEKDAY_APPR_PROCESS_START_TUESDAY"])))*(data["NAME_GOODS_CATEGORY_Fitness"])))* 2.0)>0,(((((data["WEEKDAY_APPR_PROCESS_START_TUESDAY"])*(2.0)))>(data["NAME_GOODS_CATEGORY_Fitness"])) *1.) ,(( -1.0)/ 2.0)))+
0.097890*np.tanh(np.where(data["NAME_TYPE_SUITE_Unaccompanied"]>0, data["cnt_FLAG_DOCUMENT_10"],(((((data["YEARS_BUILD_AVG"])* 2.0)) >(np.maximum(((data["YEARS_BUILD_AVG"])) ,(((-1.0*(( data["CODE_REJECT_REASON_VERIF"])))))))) *1.))) +
0.070457*np.tanh(( -1.0*(((((data["NAME_GOODS_CATEGORY_Fitness"])>(((data["EMERGENCYSTATE_MODE"])*(((data["FLAG_DOCUMENT_10"])-(np.tanh(((( data["NAME_GOODS_CATEGORY_Fitness"])*(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))))))))) *1.))))) +
0.088355*np.tanh(np.maximum(((data["cnt_FLAG_DOCUMENT_10"])) ,(((( np.maximum(((-2.0)) ,(( np.maximum(((1.0)) ,(((11.60319614410400391)))))))) *(((((((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])-(data["FLAG_DOCUMENT_10"])))* 2.0)) >(3.0)) *1.))))))) +
0.099726*np.tanh(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])*(( -1.0*(((((-1.0*(((( data["cnt_FLAG_DOCUMENT_10"])-(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))) +(((((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])/ 2.0)) <(((data["cc_bal_SK_ID_PREV"])/ 2.0)))*1.))))))))) +
0.099961*np.tanh(((((( data["cc_bal_AMT_RECIVABLE"])>(data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])) *1.))*(((((( 3.0)+(-2.0)) /2.0)) +(data["DAYS_LAST_DUE"])))))+
0.100000*np.tanh(np.where(data["inst_SK_ID_PREV"]>0, data["FLAG_DOCUMENT_10"], np.maximum(((((((( data["Completed"])>(( 6.0)))*1.))/ 2.0))),(( np.maximum(((data["inst_NUM_INSTALMENT_NUMBER"])) ,(( data["cc_bal_AMT_PAYMENT_CURRENT"])))))))) +
0.068699*np.tanh(np.minimum(((((( -1.0*(( data["FLAG_DOCUMENT_10"])))) * 2.0))),(((( data["inst_SK_ID_PREV"])*(data["CNT_INSTALMENT"])))))) +
0.099414*np.tanh(((( data["inst_AMT_INSTALMENT"])>(np.tanh(((((((( data["REG_CITY_NOT_LIVE_CITY"])+(data["CNT_INSTALMENT_FUTURE"])) /2.0)) >(((-1.0)/ 2.0)))*1.))))) *1.))+
0.099726*np.tanh(( -1.0*(((((np.maximum(((np.minimum(((((data["AMT_APPLICATION"])* 2.0))),(((2.26555514335632324)))))) ,(( 1.0)))) <(data["AMT_ANNUITY"])) *1.))))) +
0.079406*np.tanh(((((( data["NAME_YIELD_GROUP_middle"])<(((( data["te_REG_CITY_NOT_LIVE_CITY"])+(-3.0)) /2.0)))*1.))+(((((((( -1.0*(( data["inst_AMT_PAYMENT"])))) / 2.0)) / 2.0)) / 2.0)))) +
0.085463*np.tanh(( -1.0*(((((np.tanh(((( data["te_REG_CITY_NOT_LIVE_CITY"])*(( -1.0*(((( data["te_REG_CITY_NOT_LIVE_CITY"])+(( -1.0*(( data["REG_CITY_NOT_LIVE_CITY"])))))))))))))<(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.))))) +
0.061313*np.tanh(((((( np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((((0.0)) * 2.0)))))>(data["FLAG_DOCUMENT_10"])) *1.))+(((data["AMT_CREDIT_x"])*(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) ,(( 0.0)))))))) +
0.099883*np.tanh(((((( data["NAME_CASH_LOAN_PURPOSE_Repairs"])+(np.minimum(((data["DAYS_LAST_DUE"])) ,(( np.maximum(((data["cnt_FLAG_DOCUMENT_10"])) ,(( data["DAYS_FIRST_DUE"])))))))))>(( 2.0)))*1.))+
0.099570*np.tanh(np.where(((( np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))) >(data["cnt_FLAG_DOCUMENT_10"])) *1.) >0, data["CODE_REJECT_REASON_XAP"],(( np.maximum(((((data["NAME_CONTRACT_STATUS_Refused"])-(( 3.88871765136718750))))),(( np.tanh(( data["FLAG_DOCUMENT_10"])))))) * 2.0)))+
0.099609*np.tanh(((data["NAME_CONTRACT_STATUS_Approved"])*(((((( data["CODE_REJECT_REASON_SCO"])+(1.0)))>(((1.0)-(((( -1.0*(( 3.0)))) * 2.0)))))*1.))))+
0.099805*np.tanh(np.minimum(((((((((10.0)) -(data["CODE_REJECT_REASON_VERIF"])))+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) /2.0))),(( np.where(data["CODE_REJECT_REASON_VERIF"]>0,(-1.0*(( data["CODE_REJECT_REASON_LIMIT"]))), data["NAME_GOODS_CATEGORY_Insurance"])))))+
0.098242*np.tanh(np.where(data["cc_bal_cc_bal_status__Refused"]>0,(( data["cc_bal_cc_bal_status__Refused"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((data["NAME_GOODS_CATEGORY_Direct_Sales"])>(( 0.0)))*1.))) +
0.099375*np.tanh(np.minimum(((((np.where(data["cnt_FLAG_DOCUMENT_10"]>0, data["FLAG_DOCUMENT_10"],(( -3.0)-(2.0)))) +(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(((( -2.0)+(data["NAME_CONTRACT_STATUS_Refused"])) /2.0))))))),(( 2.0)))) +
0.099922*np.tanh(np.minimum(((((( data["AMT_CREDIT_x"])+(1.0)) /2.0))),(((((((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])-(np.tanh(( data["NAME_GOODS_CATEGORY_Fitness"])))))*(((data["AMT_CREDIT_x"])* 2.0)))) * 2.0)))))+
0.096327*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["cnt_HOUR_APPR_PROCESS_START_x"],(-1.0*(((((((data["PRODUCT_COMBINATION_POS_mobile_without_interest"])>(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) *1.))/ 2.0)))))) +
0.092849*np.tanh(((((((data["AMT_CREDIT_MAX_OVERDUE"])+(np.tanh(((( data["NAME_GOODS_CATEGORY_Fitness"])*(np.where(data["AMT_CREDIT_MAX_OVERDUE"]>0,(2.0), data["AMT_CREDIT_MAX_OVERDUE"])))))))) * 2.0)) * 2.0)) +
0.099844*np.tanh(((np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0,(((-1.0*(( data["cnt_FLAG_DOCUMENT_18"])))) * 2.0),(( data["cnt_FLAG_DOCUMENT_18"])/ 2.0)))*(np.maximum(((-3.0)) ,(((( 2.0)-(data["NAME_CLIENT_TYPE_Refreshed"])))))))) +
0.088042*np.tanh(((( np.minimum(((((((data["NAME_GOODS_CATEGORY_Fitness"])*(-1.0)))/ 2.0))),(( data["cnt_FLAG_DOCUMENT_18"])))) +(((data["cnt_FLAG_DOCUMENT_18"])*(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])))) /2.0)) +
0.099218*np.tanh(np.tanh(((((((( -1.0*(( data["AMT_CREDIT_x"])))) +(( 4.31017494201660156)))) <(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)) +(data["AMT_CREDIT_x"])) /2.0)))*1.))))+
0.099805*np.tanh(((((-1.0*(((( data["NAME_GOODS_CATEGORY_Education"])*(((data["NAME_YIELD_GROUP_low_normal"])*(((data["NAME_GOODS_CATEGORY_Insurance"])+(3.0)))))))))) +(np.minimum(((data["cnt_FLAG_DOCUMENT_4"])) ,(((-1.0*(( data["NAME_GOODS_CATEGORY_Weapon"])))))))) /2.0)) +
0.071786*np.tanh(((((np.where(data["inst_AMT_PAYMENT"]>0, data["NAME_GOODS_CATEGORY_Insurance"],(((((((3.0)*(-1.0)))-(data["te_NAME_FAMILY_STATUS"])))>(( -1.0*(( 1.0)))))*1.))) * 2.0)) * 2.0)) +
0.100000*np.tanh(((data["te_NAME_TYPE_SUITE"])*(np.minimum(((((( np.minimum(((data["FLAG_DOCUMENT_10"])) ,(( data["NAME_GOODS_CATEGORY_Education"])))) >(data["te_NAME_TYPE_SUITE"])) *1.))) ,(((( data["te_NAME_TYPE_SUITE"])+(( 1.57757556438446045)))))))))+
0.100000*np.tanh(np.minimum(((((np.tanh(((-1.0*(((((( 2.47150230407714844)) <(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) *1.))))))) * 2.0))),(((((((data["te_NAME_FAMILY_STATUS"])+(np.tanh(( 2.0)))) /2.0)) / 2.0)))))+
0.098828*np.tanh(((((((( 8.32762813568115234)) *(((data["te_NAME_FAMILY_STATUS"])*(data["cnt_FLAG_DOCUMENT_2"])))))+(((( data["cnt_FLAG_DOCUMENT_10"])>(data["cc_bal_SK_DPD_DEF"])) *1.))))-(np.tanh(((4.71051406860351562)))))) +
0.098124*np.tanh(np.minimum(((((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0)) *(( -1.0*(( data["cnt_FLAG_DOCUMENT_17"]))))))),(( np.minimum(((data["cnt_FLAG_DOCUMENT_10"])) ,(((-1.0*(((( data["NAME_GOODS_CATEGORY_Education"])+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))))))))) +
0.098750*np.tanh(np.maximum(((((((data["cc_bal_SK_DPD_DEF"])* 2.0)) +(data["cnt_FLAG_DOCUMENT_10"])))) ,(((((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])* 2.0)) -(((((((( 13.95753192901611328)) * 2.0)) +(-2.0)))* 2.0)))))))+
0.099805*np.tanh(((( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"],(-1.0*(((((((data["cc_bal_SK_DPD_DEF"])*(((1.0)*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))<(((data["AMT_REQ_CREDIT_BUREAU_DAY"])* 2.0)))*1.))))))<(data["AMT_REQ_CREDIT_BUREAU_DAY"])) *1.))+
0.094998*np.tanh(np.minimum(((((( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])+(((data["cnt_FLAG_DOCUMENT_4"])-(((data["YEARS_BEGINEXPLUATATION_MEDI"])/ 2.0)))))/2.0))),(((((-1.0*(( data["YEARS_BEGINEXPLUATATION_MEDI"])))) +(np.tanh(((((data["NAME_GOODS_CATEGORY_Insurance"])>(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) *1.))))))))) +
0.100000*np.tanh(( -1.0*(( np.where(data["ty__Credit_card"]>0, data["NONLIVINGAPARTMENTS_MODE"],(-1.0*(( data["NONLIVINGAPARTMENTS_MODE"])))))))) +
0.099805*np.tanh(( -1.0*(((((((( np.where(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"], data["NONLIVINGAPARTMENTS_MODE"])>0, data["NONLIVINGAPARTMENTS_MODE"], data["CHANNEL_TYPE_Car_dealer"])) +(0.0)))-(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])))+(0.0)))))) +
0.076710*np.tanh(np.tanh(((((((data["AMT_CREDIT_SUM_DEBT"])+(((((data["NONLIVINGAPARTMENTS_MEDI"])+(data["NONLIVINGAREA_MEDI"])))/ 2.0)))/2.0)) +(((( data["AMT_CREDIT_SUM_DEBT"])+(((( data["NONLIVINGAREA_MEDI"])>(data["NONLIVINGAPARTMENTS_AVG"])) *1.))) /2.0)))))) +
0.085190*np.tanh(np.where(np.tanh(( data["NONLIVINGAPARTMENTS_MODE"])) >0, data["DAYS_LAST_DUE"], np.where(data["ty__Mortgage"]>0, np.where(-2.0>0, 1.0, -1.0),(((( 1.68957030773162842)) <(data["te_HOUR_APPR_PROCESS_START_x"])) *1.))))+
0.099883*np.tanh(((((( -1.0*(( data["NONLIVINGAPARTMENTS_MEDI"])))) *(((data["NAME_SELLER_INDUSTRY_Connectivity"])*(2.0)))))*(((((( data["NONLIVINGAPARTMENTS_MEDI"])* 2.0)) <(( -1.0*(((((( 0.40902623534202576)) +(data["te_HOUR_APPR_PROCESS_START_x"])) /2.0)))))) *1.))))+
0.067370*np.tanh(np.maximum(((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((( data["NONLIVINGAPARTMENTS_MODE"])+(-2.0)) /2.0)))/2.0))),(((((data["cnt_HOUR_APPR_PROCESS_START_x"])+(np.tanh(( np.tanh(( data["HOUR_APPR_PROCESS_START_x"])))))) /2.0)))))+
0.099844*np.tanh(((data["HOUR_APPR_PROCESS_START_x"])*(np.maximum(((( -1.0*(( 0.0))))),(((((((np.maximum(((data["NAME_YIELD_GROUP_high"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *(data["cnt_HOUR_APPR_PROCESS_START_x"])))+(data["AMT_CREDIT_SUM"])) /2.0)))))))+
0.099687*np.tanh(np.where(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, np.minimum(((np.tanh(( 0.0)))) ,(((-1.0*(( data["AMT_CREDIT_SUM"])))))) , data["AMT_CREDIT_SUM"])>0, data["REGION_RATING_CLIENT_W_CITY"],(((((data["AMT_CREDIT_SUM"])/ 2.0)) <(-3.0)) *1.))) +
0.100000*np.tanh(np.where(((data["NONLIVINGAPARTMENTS_MODE"])*(np.maximum(((((((data["REGION_POPULATION_RELATIVE"])-(-1.0)))/ 2.0))),(( data["NONLIVINGAPARTMENTS_MODE"])))))>0, data["REGION_POPULATION_RELATIVE"], 0.0)) +
0.088159*np.tanh(((((((( 5.0)) *(data["te_WALLSMATERIAL_MODE"])))-(( -1.0*(( data["te_HOUSETYPE_MODE"])))))) *(data["cc_bal_cc_bal_status__Sent_proposal"])))+
0.098867*np.tanh(( -1.0*(((( np.where(((data["NONLIVINGAPARTMENTS_MODE"])*(data["NONLIVINGAPARTMENTS_MODE"])) >0, data["PRODUCT_COMBINATION_Cash_Street__low"],(( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["NAME_SELLER_INDUSTRY_MLM_partners"])))) / 2.0)))))+
0.099609*np.tanh(((((data["AMT_CREDIT_y"])*(data["EMERGENCYSTATE_MODE"])))*(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) ,(((( data["AMT_CREDIT_SUM"])*(data["FONDKAPREMONT_MODE"])))))))) +
0.099922*np.tanh(((((((data["AMT_ANNUITY"])+(data["CNT_INSTALMENT_FUTURE"])) /2.0)) >(3.0)) *1.))+
0.099726*np.tanh(((( data["AMT_CREDIT_SUM"])<(np.tanh(((((-1.0)+(( -1.0*(((( data["AMT_CREDIT_SUM"])/ 2.0)))))) /2.0)))))*1.))+
0.099140*np.tanh(((((np.tanh(( np.tanh(((( data["AMT_CREDIT_x"])*(((data["EMERGENCYSTATE_MODE"])* 2.0)))))))) / 2.0)) / 2.0)) +
0.099805*np.tanh(((((( 2.0)<(((data["FONDKAPREMONT_MODE"])/ 2.0)))*1.))*(((((( data["AMT_ANNUITY"])+(data["NAME_YIELD_GROUP_low_normal"])) /2.0)) +(data["AMT_CREDIT_x"])))))+
0.099687*np.tanh(np.minimum(((data["NAME_TYPE_SUITE_Group_of_people"])) ,(((( -3.0)*(((( 3.0)<(((data["AMT_ANNUITY"])*(data["SK_ID_PREV_x"])))) *1.))))))) +
0.099726*np.tanh(((data["SK_ID_PREV_x"])*(((((((data["AMT_GOODS_PRICE_y"])>(np.where(data["AMT_ANNUITY"]>0, 1.0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))*1.))+(((0.0)* 2.0)))/2.0)))) +
0.096522*np.tanh(((data["NAME_GOODS_CATEGORY_Audio_Video"])*(((((-1.0*(((((data["NAME_GOODS_CATEGORY_Audio_Video"])<(1.0)) *1.))))) >(data["CODE_REJECT_REASON_XAP"])) *1.))))+
0.100000*np.tanh(((((((((-1.0*(( np.maximum(((data["AMT_ANNUITY"])) ,(((((data["AMT_ANNUITY"])<(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) *1.))))))))+(( 6.0)))) -(data["CHANNEL_TYPE_AP___Cash_loan_"])))<(1.0)) *1.))+
0.099726*np.tanh(((((( -1.0*(((( data["FONDKAPREMONT_MODE"])*(data["NAME_GOODS_CATEGORY_Other"])))))) -(np.tanh(((((data["FONDKAPREMONT_MODE"])>(1.0)) *1.))))))/ 2.0)) +
0.099297*np.tanh(np.where(((np.where(data["SK_DPD"]>0, data["NAME_TYPE_SUITE_Group_of_people"], data["NAME_GOODS_CATEGORY_Direct_Sales"])) +(data["NAME_TYPE_SUITE_Group_of_people"])) >0, data["te_FLAG_DOCUMENT_21"],(((-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) * 2.0)))+
0.099961*np.tanh(((((data["NAME_TYPE_SUITE_Group_of_people"])*(( -1.0*(( np.tanh(( data["AMT_ANNUITY"])))))))) -(np.where(data["NONLIVINGAPARTMENTS_MODE"]>0, data["AMT_CREDIT_y"], np.minimum(((((( data["AMT_ANNUITY"])<(( 4.0)))*1.))) ,(( data["NAME_TYPE_SUITE_Group_of_people"])))))))+
0.100000*np.tanh(np.where(np.tanh(((( data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))>0,(( -3.0)*(((data["NAME_GOODS_CATEGORY_Insurance"])-(( -1.0*(( data["te_REGION_RATING_CLIENT"]))))))),(((data["te_REGION_RATING_CLIENT"])<(-2.0)) *1.))) +
0.074639*np.tanh(( -1.0*(( np.tanh(((((((((data["cnt_REGION_RATING_CLIENT_W_CITY"])*(data["te_FLAG_DOCUMENT_4"])))<(((( data["cnt_REGION_RATING_CLIENT_W_CITY"])<(0.0)) *1.))) *1.))/ 2.0)))))))+
0.099961*np.tanh(np.minimum(((0.0)) ,(((((((np.maximum(((((data["REGION_RATING_CLIENT"])-(np.tanh(((((( data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)) * 2.0))))))),(( data["AMT_GOODS_PRICE_x"])))) >(2.0)) *1.))*(data["REGION_RATING_CLIENT"])))))) +
0.099961*np.tanh(((data["te_FLAG_DOCUMENT_20"])*(np.maximum(((((np.where(data["te_REGION_RATING_CLIENT_W_CITY"]>0, data["te_FLAG_DOCUMENT_20"],(((-2.0)>(0.0)) *1.))) * 2.0))),(((( data["NAME_GOODS_CATEGORY_Insurance"])-(( -1.0*(( data["NAME_TYPE_SUITE_Group_of_people"])))))))))))+
0.099844*np.tanh(((((((data["te_FLAG_DOCUMENT_5"])+(((((data["te_FLAG_DOCUMENT_5"])+(data["te_FLAG_DOCUMENT_5"])))-(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))-(data["AMT_CREDIT_x"])))*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+
0.099297*np.tanh(( -1.0*(((((data["NAME_TYPE_SUITE_Group_of_people"])>(((((data["NAME_SELLER_INDUSTRY_MLM_partners"])-(np.minimum(((data["AMT_CREDIT_y"])) ,(( data["NONLIVINGAPARTMENTS_MODE"])))))) / 2.0)))*1.))))) +
0.099961*np.tanh(((((2.78377246856689453)) <(((( np.maximum(((data["NONLIVINGAPARTMENTS_MODE"])) ,(( data["AMT_ANNUITY"])))) +(np.where(((data["NAME_GOODS_CATEGORY_Fitness"])* 2.0)>0, data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"], data["NONLIVINGAPARTMENTS_MODE"])))/2.0)))*1.))+
0.072802*np.tanh(((((( data["NAME_YIELD_GROUP_middle"])>(np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])))) *1.))*(np.minimum(((data["AMT_CREDIT_y"])) ,(((( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])* 2.0)))))))+
0.099922*np.tanh(((data["NAME_TYPE_SUITE_Group_of_people"])*(((( -2.0)+(((data["SK_ID_PREV_y"])*(np.where(data["AMT_GOODS_PRICE_x"]>0, data["NAME_TYPE_SUITE_Group_of_people"],(((3.0)+(( 9.08674621582031250)))/2.0)))))) /2.0)))) +
0.099961*np.tanh(((data["NAME_CONTRACT_STATUS_Canceled"])*(((( data["NAME_SELLER_INDUSTRY_MLM_partners"])+(((( -1.0*(( data["SK_DPD"])))) *(np.minimum(((((3.0)-(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])/ 2.0))))),(( data["inst_AMT_PAYMENT"])))))))/2.0)))) +
0.097499*np.tanh(np.where(np.minimum(((data["cc_bal_cc_bal_status__Sent_proposal"])) ,(((((data["SK_DPD"])+(( -1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"])))))/2.0)))) >0, data["NAME_FAMILY_STATUS"],(-1.0*(((( data["NAME_YIELD_GROUP_high"])*(data["SK_DPD"])))))))+
0.063501*np.tanh(((((data["SK_ID_PREV_x"])/ 2.0)) *(((data["NAME_YIELD_GROUP_high"])*(((( data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])<(np.tanh(( 0.0)))) *1.))))))+
0.100000*np.tanh(((( np.tanh(( np.tanh(((((data["NAME_SELLER_INDUSTRY_Connectivity"])<(1.0)) *1.))))))<(((data["NAME_SELLER_INDUSTRY_Connectivity"])*(data["inst_AMT_PAYMENT"])))) *1.))+
0.096170*np.tanh(((np.where(data["AMT_GOODS_PRICE_x"]>0,(( data["NAME_CLIENT_TYPE_Repeater"])/ 2.0), np.tanh(((( data["NAME_CLIENT_TYPE_Repeater"])*(data["inst_AMT_PAYMENT"])))))) / 2.0)) +
0.099766*np.tanh(np.minimum(((np.maximum(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(-2.0)))) ,(( data["inst_AMT_PAYMENT"]))))),(((( data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])*(np.maximum(((data["inst_AMT_PAYMENT"])) ,(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))))))))+
0.095037*np.tanh(((((( -2.0)+(( -1.0*(( data["SK_ID_PREV_x"])))))/2.0)) *(np.minimum(((((data["SK_DPD"])*(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])))) ,(((( data["SK_ID_PREV_x"])*(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])))))))) +
0.099570*np.tanh(((( np.maximum(((np.where(data["Completed"]>0, data["NFLAG_LAST_APPL_IN_DAY"], data["cc_bal_cc_bal_status__Sent_proposal"]))),(( -3.0)))) +(np.where(data["Completed"]>0, data["inst_AMT_INSTALMENT"],(((-1.0)>(0.0)) *1.))))/2.0)) +
0.099961*np.tanh(((((( data["CNT_INSTALMENT"])+(data["MONTHS_BALANCE"])) /2.0)) *(np.minimum(((((( data["SK_DPD"])>(((data["cc_bal_cc_bal_status__Sent_proposal"])/ 2.0)))*1.))) ,(((( data["NFLAG_INSURED_ON_APPROVAL"])/ 2.0)))))))+
0.079562*np.tanh(((data["DAYS_LAST_DUE"])*(np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["NFLAG_INSURED_ON_APPROVAL"], np.tanh(( np.maximum(((((data["NFLAG_INSURED_ON_APPROVAL"])/ 2.0))),(((( data["cc_bal_cc_bal_status__Sent_proposal"])* 2.0)))))))))) +
0.082298*np.tanh(np.tanh(( np.minimum(((3.0)) ,(((( np.maximum(((data["inst_AMT_PAYMENT"])) ,(((( data["SK_DPD"])*(( 13.14832782745361328)))))))*(data["RATE_DOWN_PAYMENT"])))))))) +
0.079914*np.tanh(np.where(((np.minimum(((( -1.0*(( data["SK_DPD"]))))),(( -2.0)))) +(data["DAYS_TERMINATION"])) >0, data["NAME_CONTRACT_STATUS_Approved"],(-1.0*(((( np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))/ 2.0)))))) +
0.099922*np.tanh(((np.minimum(((np.minimum(((((((data["cc_bal_cc_bal_status__Sent_proposal"])*(data["DAYS_TERMINATION"])))-(((data["cc_bal_cc_bal_status__Sent_proposal"])/ 2.0))))),(( np.maximum(((data["Completed"])) ,(( data["SK_DPD"])))))))) ,(((-1.0*(( -1.0)))))))* 2.0)) +
0.099609*np.tanh(((((((data["PRODUCT_COMBINATION_Cash"])/ 2.0)) *(((( np.tanh(( data["cc_bal_cc_bal_status__Sent_proposal"])))+(((( data["cc_bal_cc_bal_status__Sent_proposal"])>(0.0)) *1.))) /2.0)))) *(data["CNT_INSTALMENT_FUTURE"])))+
0.071473*np.tanh(np.maximum(((np.minimum(((data["SK_DPD"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"]))))),(((( data["NAME_CONTRACT_TYPE_Consumer_loans"])*(np.minimum(((((data["NAME_YIELD_GROUP_XNA"])/ 2.0))),(( np.maximum(((data["NAME_CONTRACT_TYPE_Consumer_loans"])) ,(((1.0)))))))))))))+
0.098828*np.tanh(((np.maximum(((((((((((((-1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"])))) <(((data["NFLAG_INSURED_ON_APPROVAL"])/ 2.0)))*1.))+(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])))*(data["NAME_YIELD_GROUP_XNA"])))+(-1.0)))) ,(( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])))) / 2.0)) +
0.099961*np.tanh(((((data["inst_AMT_PAYMENT"])*(np.minimum(((data["SK_DPD"])) ,(( np.minimum(((data["SK_DPD"])) ,(((((7.0)) -(((3.0)*(data["SK_DPD"])))))))))))))* 2.0)) +
0.099687*np.tanh(((((( np.minimum(((-2.0)) ,(((( -1.0)-(data["inst_AMT_INSTALMENT"])))))) * 2.0)) >(((((1.0)+(((-1.0)-(data["AMT_CREDIT_y"])))))-(data["CNT_INSTALMENT_FUTURE"])))) *1.))+
0.099179*np.tanh(((data["PRODUCT_COMBINATION_Cash"])*(((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(np.minimum(((data["cnt_FLAG_DOCUMENT_21"])) ,(((( data["NFLAG_INSURED_ON_APPROVAL"])*(((-3.0)* 2.0)))))))))-(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))+
0.099922*np.tanh(( -1.0*(( np.where(data["NAME_CONTRACT_STATUS_Canceled"]>0,(-1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"]))),(((((data["PRODUCT_COMBINATION_Cash_X_Sell__low"])>(( 0.0)))*1.))*(((( data["DAYS_TERMINATION"])+(((data["AMT_CREDIT_x"])* 2.0)))/2.0)))))))) +
0.099492*np.tanh(((((( data["PRODUCT_COMBINATION_Cash_X_Sell__low"])*(data["cc_bal_cc_bal_status__Sent_proposal"])))+(((((((( data["PRODUCT_COMBINATION_Cash_X_Sell__low"])*(((((data["cc_bal_cc_bal_status__Sent_proposal"])* 2.0)) * 2.0)))) * 2.0)) +(((data["AMT_CREDIT_x"])/ 2.0)))/2.0)))/2.0)) +
0.099101*np.tanh(( -1.0*(( np.maximum(((data["cc_bal_cc_bal_status__Sent_proposal"])) ,(((((((( -1.0)+(data["AMT_GOODS_PRICE_x"])) /2.0)) +(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])-(data["cc_bal_cc_bal_status__Sent_proposal"])))))) /2.0)))))))) +
0.099414*np.tanh(((data["NAME_CONTRACT_STATUS_Canceled"])*(( -1.0*(( np.tanh(((( data["cnt_FLAG_DOCUMENT_21"])+(((( data["AMT_CREDIT_x"])>(((3.0)-(np.tanh(( data["cnt_FLAG_DOCUMENT_21"])))))) *1.))))))))))) +
0.091481*np.tanh(((((((((data["AMT_CREDIT_x"])-(2.0)))<(( -1.0*(( data["AMT_CREDIT_x"])))))*1.))<(np.tanh(( data["NFLAG_INSURED_ON_APPROVAL"])))) *1.))+
0.095936*np.tanh(np.tanh(( np.where(data["AMT_ANNUITY_x"]>0, np.where(((( data["AMT_GOODS_PRICE_x"])+(data["NFLAG_INSURED_ON_APPROVAL"])) /2.0)>0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"],(((-1.0*(( data["inst_AMT_PAYMENT"])))) * 2.0)) ,(((-2.0)+(2.0)) /2.0)))))+
0.099922*np.tanh(np.minimum(((((((((data["inst_AMT_INSTALMENT"])*(np.maximum(((data["cnt_FLAG_DOCUMENT_21"])) ,(( data["AMT_GOODS_PRICE_x"])))))) * 2.0)) / 2.0))),(( np.minimum(((((1.0)* 2.0))),(((((3.0)<(data["inst_AMT_INSTALMENT"])) *1.))))))))+
0.090504*np.tanh(((((((((((((-3.0)* 2.0)) * 2.0)) *(data["NFLAG_INSURED_ON_APPROVAL"])))*(((data["inst_AMT_PAYMENT"])* 2.0)))) *(((( data["inst_AMT_PAYMENT"])>(2.0)) *1.))))* 2.0)) +
0.057718*np.tanh(((((( np.minimum(((((3.0)*(((((data["inst_AMT_PAYMENT"])/ 2.0)) *(data["NFLAG_INSURED_ON_APPROVAL"])))))) ,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) +(((data["FLAG_DOCUMENT_21"])* 2.0)))/2.0)) / 2.0)) +
0.099961*np.tanh(np.minimum(((((((data["AMT_CREDIT_x"])*(data["AMT_ANNUITY_x"])))* 2.0))),(((((-1.0*(( data["NAME_GOODS_CATEGORY_Fitness"])))) *(data["AMT_ANNUITY_x"])))))) +
0.098867*np.tanh(((((( data["NAME_SELLER_INDUSTRY_Auto_technology"])+(((data["cnt_REGION_RATING_CLIENT_W_CITY"])*(data["NAME_SELLER_INDUSTRY_Auto_technology"])))) /2.0)) *(((( data["NAME_SELLER_INDUSTRY_Auto_technology"])>(((( data["cnt_REGION_RATING_CLIENT_W_CITY"])>(data["cnt_REGION_RATING_CLIENT_W_CITY"])) *1.))) *1.))))+
0.099961*np.tanh(((((((((((((((((((data["DAYS_TERMINATION"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+(data["NFLAG_INSURED_ON_APPROVAL"])) /2.0)) +(data["cu__currency_3"])) /2.0)) >(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.))+(data["cu__currency_3"])) /2.0)) *(data["te_WEEKDAY_APPR_PROCESS_START"])))/ 2.0)) +
0.088277*np.tanh(((((( data["DAYS_TERMINATION"])+(( -1.0*(((((((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])/ 2.0)) * 2.0)) >(((data["NAME_GOODS_CATEGORY_Fitness"])* 2.0)))*1.))/ 2.0)))))) /2.0)) *(((((data["cnt_HOUR_APPR_PROCESS_START_x"])/ 2.0)) / 2.0)))) +
0.099805*np.tanh(((( -3.0)>(((data["te_WEEKDAY_APPR_PROCESS_START"])+(np.minimum(((data["NFLAG_INSURED_ON_APPROVAL"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))*1.))+
0.079445*np.tanh(((((((( np.tanh(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["DAYS_TERMINATION"])+(data["DAYS_TERMINATION"])))))))* 2.0)) >(((((1.0)) +(np.minimum(((data["AMT_ANNUITY_x"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))/2.0)))*1.))/ 2.0)) +
0.099258*np.tanh(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(( -1.0*(((( np.maximum(((data["AMT_CREDIT_x"])) ,(( data["cnt_FLAG_DOCUMENT_3"])))) +(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(data["te_FLAG_DOCUMENT_3"])))))))))) +
0.099648*np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(((((data["AMT_CREDIT_x"])-(( -1.0*(( data["ty__Microloan"])))))) *(data["ty__Microloan"])))))+
0.099922*np.tanh(((np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( np.minimum(((data["ty__Microloan"])) ,(((((1.0)>(-1.0)) *1.))))) *(data["AMT_GOODS_PRICE_x"])))))) *(data["AMT_ANNUITY_x"])))+
0.072333*np.tanh(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(np.minimum(((((data["AMT_CREDIT_x"])* 2.0))),(( data["te_FLAG_DOCUMENT_19"])))))) +
0.074404*np.tanh(((((( -3.0)>(((( -1.0*(( data["NAME_GOODS_CATEGORY_Fitness"])))) / 2.0)))*1.))-(((np.minimum(((data["NAME_GOODS_CATEGORY_Fitness"])) ,(( np.tanh(( data["AMT_DOWN_PAYMENT"])))))) *(data["AMT_CREDIT_x"])))))+
0.068581*np.tanh(( -1.0*(((( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, np.minimum(((((data["AMT_GOODS_PRICE_x"])* 2.0))),(( data["NAME_CASH_LOAN_PURPOSE_Business_development"]))),(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)))*(( -1.0*(( data["AMT_GOODS_PRICE_x"])))))))))+
0.099726*np.tanh(((((data["NAME_GOODS_CATEGORY_Fitness"])-(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["cnt_FLAG_DOCUMENT_17"], 0.0)))) *(((((data["nans"])+(np.maximum(((((data["NAME_GOODS_CATEGORY_Insurance"])* 2.0))),(( data["nans"])))))) * 2.0)))) +
0.098789*np.tanh(((((((data["FLAG_DOCUMENT_17"])*(data["NAME_GOODS_CATEGORY_Fitness"])))-(( -1.0*(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((1.0)/ 2.0)))) >(( 12.29629707336425781)))*1.))))))) * 2.0)) +
0.099922*np.tanh(np.tanh(((((((((-1.0)/ 2.0)) +(((((( -2.0)*(data["AMT_GOODS_PRICE_x"])))>(((np.tanh(((((-3.0)<(1.0)) *1.))))/ 2.0)))*1.))) /2.0)) / 2.0)))) +
0.073466*np.tanh(np.tanh(((((((np.tanh(( np.tanh(( data["AMT_CREDIT_x"])))))+(np.minimum(((( -1.0*(( data["AMT_DOWN_PAYMENT"]))))),(((( data["cnt_FLAG_DOCUMENT_17"])+(data["cnt_FLAG_DOCUMENT_4"])))))))/2.0)) / 2.0)))) +
0.095975*np.tanh(((( data["RATE_INTEREST_PRIMARY"])+(((((((-1.0*(((( data["NAME_GOODS_CATEGORY_Insurance"])-(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))) *(data["PRODUCT_COMBINATION_POS_industry_with_interest"])))<(data["NAME_CASH_LOAN_PURPOSE_Hobby"])) *1.))) /2.0)) +
0.099218*np.tanh(((np.tanh(((((( data["PRODUCT_COMBINATION_POS_industry_with_interest"])*(((data["NAME_GOODS_CATEGORY_Furniture"])*(np.minimum(((data["AMT_DOWN_PAYMENT"])) ,(((((data["NAME_GOODS_CATEGORY_Insurance"])<(3.0)) *1.))))))))) *(data["PRODUCT_COMBINATION_POS_industry_with_interest"])))))*(data["PRODUCT_COMBINATION_POS_industry_with_interest"])))+
0.099648*np.tanh(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( data["PRODUCT_COMBINATION_POS_industry_with_interest"])+(((((((( data["AMT_GOODS_PRICE_x"])+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))<(((np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))))/ 2.0)))*1.))* 2.0)))))))+
0.099922*np.tanh(((data["AMT_CREDIT_x"])*(((((((((((( 0.0)>(data["AMT_CREDIT_x"])) *1.))<(data["NAME_SELLER_INDUSTRY_Clothing"])) *1.))>(((data["AMT_CREDIT_x"])/ 2.0)))*1.))*(data["NAME_SELLER_INDUSTRY_Clothing"])))))+
0.099844*np.tanh(np.minimum(((np.minimum(((((((( 1.0)+(((data["AMT_ANNUITY_x"])* 2.0)))/2.0)) *(data["AMT_CREDIT_x"])))) ,(((((1.0)<(data["AMT_DOWN_PAYMENT"])) *1.)))))),(( 1.0)))) +
0.099492*np.tanh(np.tanh(((((1.0)<(((((((((( data["AMT_ANNUITY_x"])>(( 9.0)))*1.))+(data["cnt_FLAG_DOCUMENT_3"])) /2.0)) +(data["AMT_ANNUITY_x"])) /2.0)))*1.))))+
0.093982*np.tanh(( -1.0*(((((1.0)<(((( data["MONTHS_BALANCE"])+(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])+(((((( data["PRODUCT_COMBINATION_POS_industry_with_interest"])* 2.0)) +(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])-(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) /2.0)))))/2.0)))*1.))))) +
0.100000*np.tanh(np.minimum(((((( np.tanh(((((np.tanh(((1.0)))) <(data["NAME_SELLER_INDUSTRY_Furniture"])) *1.))))>(data["AMT_DOWN_PAYMENT"])) *1.))) ,(((((((( -2.0)+(((data["NAME_SELLER_INDUSTRY_Furniture"])* 2.0)))/2.0)) >(0.0)) *1.))))) +
0.099492*np.tanh(((((np.tanh(( -1.0)))*(data["AMT_DOWN_PAYMENT"])))*(((((( data["NAME_SELLER_INDUSTRY_Furniture"])>(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) *1.))*(data["AMT_DOWN_PAYMENT"])))))+
0.071786*np.tanh(((((data["te_FLAG_DOCUMENT_19"])*(((data["AMT_CREDIT_x"])*(data["AMT_DOWN_PAYMENT"])))))* 2.0)) +
0.095506*np.tanh(((data["AMT_DOWN_PAYMENT"])*(((( np.tanh(( data["te_FLAG_DOCUMENT_19"])))+(((-1.0)*(((( data["AMT_DOWN_PAYMENT"])<(data["AMT_CREDIT_x"])) *1.))))) /2.0)))) +
0.099844*np.tanh(np.where(((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])>(((2.0)-(data["NAME_GOODS_CATEGORY_Furniture"])))) *1.) >0, data["AMT_CREDIT_y"], np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) +
0.099414*np.tanh(((((((((( data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])*(((( 2.27680611610412598)) / 2.0)))) -(data["cnt_NAME_HOUSING_TYPE"])))>(( 9.0)))*1.))-(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["AMT_DOWN_PAYMENT"])))))+
0.053966*np.tanh(((np.maximum(((((( data["cnt_FLAG_DOCUMENT_10"])<(((data["te_FLAG_DOCUMENT_19"])+(( -1.0*(((((((3.0)+(( 1.60392558574676514)))/2.0)) -(data["AMT_CREDIT_x"])))))))))*1.))) ,(( data["FLAG_DOCUMENT_10"])))) *(data["AMT_CREDIT_x"])))+
0.087339*np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])-(((( 3.0)<(((data["AMT_GOODS_PRICE_x"])-(( -1.0*(((((data["AMT_DOWN_PAYMENT"])<(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) *1.))))))))*1.))))+(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["NAME_GOODS_CATEGORY_Insurance"])))))+
0.099531*np.tanh(((((((( data["AMT_DOWN_PAYMENT"])>(np.maximum(((-3.0)) ,(((((((data["AMT_CREDIT_x"])/ 2.0)) <(((((1.59686958789825439)) <(3.0)) *1.))) *1.))))))*1.))*(data["ty__Consumer_credit"])))* 2.0)) +
0.100000*np.tanh(((data["ty__Credit_card"])*(( -1.0*(( np.where(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)>0, data["te_FLAG_DOCUMENT_20"], np.where(-3.0>0,(((( -2.0)* 2.0)) / 2.0), data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))) +
0.079445*np.tanh(((data["cnt_NAME_HOUSING_TYPE"])*(((( data["ty__Credit_card"])>(((((((((( 0.0)<(( -1.0*(( data["ty__Consumer_credit"])))))*1.))+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) >(((data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)))*1.))) *1.))))+
0.077687*np.tanh(((( data["te_NAME_HOUSING_TYPE"])>(np.maximum(((((((((( np.minimum(((((data["AMT_CREDIT_x"])* 2.0))),(( data["cnt_FLAG_DOCUMENT_4"])))) <(-2.0)) *1.))*(( 9.0)))) * 2.0))),(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))*1.))+
0.099883*np.tanh(((( -1.0*(( np.maximum(((((((data["cnt_NAME_HOUSING_TYPE"])*(data["te_NAME_HOUSING_TYPE"])))*(2.0)))) ,(((((0.17687205970287323)) / 2.0)))))))) / 2.0)) +
0.099453*np.tanh(((( 2.0)<(((((data["AMT_CREDIT_x"])-(np.where(data["cnt_REGION_RATING_CLIENT_W_CITY"]>0,(-1.0*(((( data["cnt_REGION_RATING_CLIENT_W_CITY"])* 2.0)))) ,(((((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])* 2.0)) <(( 12.91717815399169922)))*1.))))) / 2.0)))*1.))+
0.084134*np.tanh(np.tanh(((-1.0*(((((((2.0)+(np.minimum(((data["FLAG_DOCUMENT_4"])) ,(( data["te_FLAG_DOCUMENT_19"])))))) <(((data["FLAG_DOCUMENT_4"])+(data["te_WEEKDAY_APPR_PROCESS_START"])))) *1.))))))) +
0.098632*np.tanh(( -1.0*(((((((2.0)/ 2.0)) <(((((( data["AMT_GOODS_PRICE_x"])+(data["te_NAME_HOUSING_TYPE"])) /2.0)) / 2.0)))*1.))))) +
0.070848*np.tanh(((( -1.0*(((((((( np.maximum(((((data["te_FLAG_DOCUMENT_19"])/ 2.0))),(( data["te_FLAG_CONT_MOBILE"])))) +(data["te_LIVE_REGION_NOT_WORK_REGION"])) /2.0)) >(3.0)) *1.))))) * 2.0)) +
0.082493*np.tanh(((((((((data["te_REG_REGION_NOT_WORK_REGION"])/ 2.0)) +(((0.0)*(( -1.0*(( data["REG_REGION_NOT_WORK_REGION"])))))))/2.0)) <(np.tanh(( data["te_REG_REGION_NOT_WORK_REGION"])))) *1.))+
0.082689*np.tanh(((np.where(data["inst_AMT_PAYMENT"]>0, data["te_FLAG_DOCUMENT_20"], np.minimum(((((((( data["te_FLAG_DOCUMENT_20"])<(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) *1.))/ 2.0))),(( 2.0)))))/ 2.0)) +
0.099218*np.tanh(((((( data["NAME_GOODS_CATEGORY_Insurance"])+(data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])) /2.0)) *(((((data["te_FLAG_CONT_MOBILE"])+(((( data["te_FLAG_DOCUMENT_20"])<(np.minimum(((((( 7.0)) / 2.0))),(((7.0)))))) *1.))))* 2.0)))) +
0.086518*np.tanh(((data["te_FLAG_DOCUMENT_19"])*(( -1.0*(( np.maximum(((np.maximum(((data["FLAG_DOCUMENT_17"])) ,(( data["te_REG_REGION_NOT_LIVE_REGION"]))))),(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))))+
0.098437*np.tanh(( -1.0*(((((( 3.0)*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))-(np.where(((( data["AMT_CREDIT_MAX_OVERDUE"])>(( 1.90302777290344238)))*1.) >0, data["EMERGENCYSTATE_MODE"],(( data["NAME_GOODS_CATEGORY_Insurance"])*(data["EMERGENCYSTATE_MODE"])))))))))+
0.083392*np.tanh(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((((( data["te_FLAG_DOCUMENT_19"])>(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) *1.))+(data["NAME_INCOME_TYPE"])) /2.0)))))+
0.099961*np.tanh(((( np.maximum(((data["te_ORGANIZATION_TYPE"])) ,(((((((( np.minimum(((( 1.0))),(( 2.0)))) +(( -1.0*(( data["te_ORGANIZATION_TYPE"])))))/2.0)) >(data["te_FLAG_DOCUMENT_19"])) *1.))))) +(-1.0)) /2.0)) +
0.038023*np.tanh(((data["cnt_FLAG_WORK_PHONE"])*(np.minimum(((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"]))))),(((-1.0*(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))))))))))+
0.099687*np.tanh(((( np.where(((data["NAME_GOODS_CATEGORY_Insurance"])*(((data["cnt_FLAG_DOCUMENT_11"])/ 2.0)))>0,(( data["cnt_FLAG_DOCUMENT_11"])* 2.0), np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["FLAG_DOCUMENT_11"],(( data["cnt_FLAG_DOCUMENT_11"])/ 2.0)))) +(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)) +
0.099609*np.tanh(((((data["te_FLAG_DOCUMENT_20"])*(data["ca__Sold"])))*(((( -2.0)>(((((((3.50255107879638672)) >(data["te_FLAG_DOCUMENT_19"])) *1.))+(((-1.0)-(data["ca__Sold"])))))) *1.))))+
0.099844*np.tanh(((((( data["AMT_CREDIT_MAX_OVERDUE"])>(np.where(data["AMT_CREDIT_MAX_OVERDUE"]>0,(((( 6.0)) +(data["te_FLAG_CONT_MOBILE"])) /2.0), data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])))*1.))* 2.0)) +
0.099961*np.tanh(((((data["te_FLAG_DOCUMENT_19"])*(((data["avg_buro_buro_bal_status_2"])* 2.0)))) +(((data["cnt_FLAG_DOCUMENT_11"])/ 2.0)))) +
0.093943*np.tanh(((data["EXT_SOURCE_3"])*(np.tanh(( np.maximum(((((data["avg_buro_buro_bal_status_1"])+(np.maximum(((((data["avg_buro_buro_bal_status_1"])+(data["avg_buro_buro_bal_status_4"])))) ,(( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) ,(( -2.0)))))))))) ,(( data["AMT_CREDIT_x"])))))))) +
0.080852*np.tanh(np.where(((( data["EXT_SOURCE_3"])+(data["DAYS_CREDIT"])) /2.0)>0, data["avg_buro_buro_bal_status_2"], np.where(data["EXT_SOURCE_3"]>0, 0.0, data["DAYS_CREDIT"])))+
0.089019*np.tanh(((((( data["DAYS_ENDDATE_FACT"])*(data["te_FLAG_DOCUMENT_19"])))>(np.where(np.maximum(((np.tanh(( data["DAYS_ENDDATE_FACT"])))) ,(( data["DAYS_CREDIT"])))>0, data["DAYS_ENDDATE_FACT"],(-1.0*(( data["avg_buro_MONTHS_BALANCE"])))))) *1.))+
0.100000*np.tanh(((data["avg_buro_buro_bal_status_2"])*(((data["avg_buro_buro_bal_status_2"])*(np.where(-1.0>0, 1.0, np.minimum(((((data["avg_buro_buro_bal_status_2"])*(data["te_FLAG_DOCUMENT_17"])))) ,(((((2.0)<(data["avg_buro_buro_bal_status_2"])) *1.))))))))))+
0.098867*np.tanh(((data["te_FLAG_DOCUMENT_17"])*(((( data["avg_buro_MONTHS_BALANCE"])<(((((( data["te_FLAG_DOCUMENT_17"])<(-1.0)) *1.))-(1.0)))) *1.))))+
0.095193*np.tanh(((np.where(data["te_FLAG_DOCUMENT_19"]>0,(((-2.0)>(data["DAYS_CREDIT"])) *1.) , data["NAME_CASH_LOAN_PURPOSE_Business_development"])) -(data["avg_buro_buro_bal_status_2"])))+
0.099258*np.tanh(((data["avg_buro_MONTHS_BALANCE"])*(np.where(data["AMT_CREDIT_x"]>0, data["te_FLAG_DOCUMENT_19"], np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( np.where(3.0>0, data["avg_buro_buro_bal_status_2"], data["te_FLAG_DOCUMENT_19"])))))))) +
0.085815*np.tanh(((data["te_FLAG_DOCUMENT_20"])*(((((((( data["te_FLAG_DOCUMENT_20"])<(((( data["te_FLAG_EMAIL"])+(0.0)) /2.0)))*1.))/ 2.0)) *(data["te_NAME_EDUCATION_TYPE"])))))+
0.099140*np.tanh(np.tanh(( np.tanh(( np.where(data["avg_buro_buro_bal_status_5"]>0, data["te_FLAG_CONT_MOBILE"], np.tanh(((( np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["AMT_CREDIT_x"], data["NAME_CASH_LOAN_PURPOSE_Business_development"])) * 2.0)))))))))+
0.099883*np.tanh(((data["avg_buro_buro_bal_status_2"])*(((data["te_FLAG_DOCUMENT_20"])-(((((( 3.0)<(data["avg_buro_buro_bal_status_2"])) *1.))/ 2.0)))))) +
0.099922*np.tanh(((((((( np.where(data["avg_buro_buro_bal_status_3"]>0, data["te_FLAG_DOCUMENT_20"], data["te_FLAG_DOCUMENT_19"])) >(((((( data["te_FLAG_DOCUMENT_19"])*(data["avg_buro_buro_bal_status_5"])))+(-1.0)) /2.0)))*1.))*(data["avg_buro_buro_bal_status_3"])))/ 2.0)) +
0.099883*np.tanh(((np.where(data["te_FLAG_DOCUMENT_11"]>0,(-1.0*(( data["NAME_GOODS_CATEGORY_Sport_and_Leisure"]))),(((data["te_FLAG_DOCUMENT_11"])>(-1.0)) *1.))) *(np.maximum(((data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])) ,(((-1.0*(( data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])))))))))+
0.029386*np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])-(((( data["PRODUCT_COMBINATION_POS_industry_without_interest"])>(((((1.0)+(((data["cnt_FLAG_DOCUMENT_10"])*(data["te_FLAG_DOCUMENT_19"])))))+(( -1.0*(( 1.0)))))))*1.))))+
0.098671*np.tanh(np.where(((((-2.0)+(data["avg_buro_buro_bal_status_2"])))/ 2.0)>0, data["avg_buro_buro_bal_status_2"],(((( -3.0)+(data["te_FLAG_DOCUMENT_20"])))*(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( data["avg_buro_buro_bal_status_2"])))))))+
0.088941*np.tanh(((( 3.0)<(np.where(data["avg_buro_buro_bal_status_2"]>0, data["SK_ID_BUREAU"],(((( 3.0)-(data["SK_ID_BUREAU"])))-(1.0)))))*1.))+
0.057757*np.tanh(np.minimum(((np.minimum(((((( data["avg_buro_buro_bal_status_2"])+(data["SK_ID_BUREAU"])) /2.0))),(( 0.0))))),(((((((-1.0*(((((-1.0)+(((data["avg_buro_buro_bal_status_2"])-(3.0)))) /2.0)))))* 2.0)) * 2.0)))))+
0.099844*np.tanh(np.where(np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["avg_buro_buro_bal_status_2"])))>0, data["avg_buro_buro_bal_status_2"], np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["te_FLAG_DOCUMENT_19"],(( data["avg_buro_buro_bal_status_2"])*(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])))))+
0.094412*np.tanh(((((np.maximum(((data["EMERGENCYSTATE_MODE"])) ,(((((( data["EMERGENCYSTATE_MODE"])+(((((( data["avg_buro_buro_bal_status_4"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))+(data["avg_buro_buro_bal_status_4"])) /2.0)))) * 2.0)))))*(data["avg_buro_buro_bal_status_4"])))*(3.0)))+
0.072255*np.tanh(((data["ty__Consumer_credit"])*(((((( np.maximum(((((((data["te_HOUSETYPE_MODE"])-(data["cnt_WALLSMATERIAL_MODE"])))* 2.0))),(( data["ty__Consumer_credit"])))) *(data["HOUSETYPE_MODE"])))+(data["avg_buro_buro_bal_status_2"])) /2.0)))) +
0.099609*np.tanh(( -1.0*(( np.maximum(((((np.where(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((data["avg_buro_buro_bal_status_4"])* 2.0)))) / 2.0)>0,(((0.0)) / 2.0),(6.77353763580322266)))*(data["avg_buro_buro_bal_status_4"])))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))+
0.099453*np.tanh(((((( data["avg_buro_buro_bal_status_2"])+(((((((( data["avg_buro_buro_bal_status_2"])+(data["avg_buro_buro_bal_status_2"])) /2.0)) *(data["AMT_GOODS_PRICE_x"])))*(data["avg_buro_buro_bal_status_2"])))) /2.0)) *(np.tanh(( data["avg_buro_buro_bal_status_2"])))))+
0.099336*np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])+(((((((data["te_FLAG_DOCUMENT_19"])* 2.0)) *(np.maximum(((((((( np.tanh(( -1.0)))*(data["EMERGENCYSTATE_MODE"])))<(-2.0)) *1.))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) * 2.0)))) +
0.098867*np.tanh(( -1.0*(((( data["NAME_GOODS_CATEGORY_Insurance"])+(np.where(-3.0>0, data["avg_buro_buro_bal_status_2"],(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(( data["AMT_GOODS_PRICE_x"])*(data["EMERGENCYSTATE_MODE"])) , data["cc_bal_SK_DPD_DEF"])) *(data["AMT_GOODS_PRICE_x"])))))))))+
0.100000*np.tanh(( -1.0*(( np.where(data["avg_buro_buro_bal_status_4"]>0, data["NAME_GOODS_CATEGORY_Direct_Sales"], np.where(data["avg_buro_buro_bal_status_2"]>0, data["NAME_GOODS_CATEGORY_Insurance"],(((((data["cc_bal_SK_DPD_DEF"])>(0.0)) *1.))*(-2.0)))))))) +
0.099922*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["avg_buro_buro_bal_status_2"],(((-1.0*(((((( data["avg_buro_buro_bal_status_2"])*(-3.0)))*(((data["avg_buro_buro_bal_status_2"])*(data["cc_bal_SK_DPD_DEF"])))))))) / 2.0)))+
0.098398*np.tanh(((((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["te_FLAG_DOCUMENT_19"])))-(np.tanh(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))+(((data["avg_buro_buro_bal_status_4"])*(np.tanh(( np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( data["te_FLAG_DOCUMENT_20"])))))))))/2.0)) +
0.077022*np.tanh(((((data["cnt_EMERGENCYSTATE_MODE"])*(((np.maximum(((data["te_FLAG_DOCUMENT_11"])) ,(((( np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( np.tanh(( data["te_FLAG_DOCUMENT_19"])))))) / 2.0)))))/ 2.0)))) * 2.0)) +
0.099922*np.tanh(( -1.0*(((( np.where(np.minimum(((2.0)) ,(((( data["HOUSETYPE_MODE"])/ 2.0)))) >0,(((data["te_EMERGENCYSTATE_MODE"])>(((( 2.77418088912963867)) / 2.0)))*1.) , data["NAME_GOODS_CATEGORY_Insurance"])) *(data["te_EMERGENCYSTATE_MODE"])))))) +
0.097421*np.tanh(((((data["cnt_EMERGENCYSTATE_MODE"])*(( 5.0)))) *(np.where(data["te_FLAG_DOCUMENT_19"]>0,(((( data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)) *(((((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)) * 2.0))), data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) +
0.099101*np.tanh(np.minimum(((((data["avg_buro_buro_bal_status_2"])*(data["avg_buro_buro_bal_status_4"])))) ,(((( data["avg_buro_buro_bal_status_4"])*(((( -1.0*(((( -3.0)+(data["avg_buro_buro_bal_status_2"])))))) *(data["avg_buro_buro_bal_status_2"])))))))) +
0.099531*np.tanh(((( -3.0)>(np.minimum(((((((( data["te_FLAG_DOCUMENT_11"])/ 2.0)) +(3.0)) /2.0))),(( data["te_FLAG_DOCUMENT_20"])))))*1.))+
0.099062*np.tanh(((np.where(np.maximum(((data["te_FLAG_DOCUMENT_19"])) ,(((((( -2.0)*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))* 2.0)))) >0, data["NAME_CASH_LOAN_PURPOSE_Business_development"],(( data["te_FLAG_DOCUMENT_19"])-(data["cnt_FLAG_DOCUMENT_10"])))) *(data["AMT_GOODS_PRICE_x"])))+
0.099961*np.tanh(np.minimum(((((data["AMT_CREDIT_x"])-(((np.where(data["AMT_CREDIT_x"]>0, data["NAME_GOODS_CATEGORY_Direct_Sales"], 0.0)) +(-1.0)))))) ,(((( data["NAME_GOODS_CATEGORY_Insurance"])*(data["cu__currency_4"])))))) +
0.099218*np.tanh(((((data["FLAG_WORK_PHONE"])*(np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))-(((((( data["EMERGENCYSTATE_MODE"])*(((data["te_EMERGENCYSTATE_MODE"])/ 2.0)))) >(2.0)) *1.))))+
0.099414*np.tanh(((((( data["cnt_EMERGENCYSTATE_MODE"])<(np.minimum(((-2.0)) ,(( -2.0)))))*1.))-(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0,(( data["cnt_FLAG_WORK_PHONE"])*(data["cnt_EMERGENCYSTATE_MODE"])) , data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) +
0.094334*np.tanh(np.tanh(((( np.maximum(((3.0)) ,(( data["FLAG_DOCUMENT_21"])))) *(((((data["cnt_FLAG_WORK_PHONE"])*(np.tanh(( data["FLAG_DOCUMENT_21"])))))-(((data["te_FLAG_WORK_PHONE"])+(data["cnt_FLAG_WORK_PHONE"])))))))))+
0.097577*np.tanh(((((((((0.0)+(((( 0.0)<(-3.0)) *1.))) /2.0)) *(((( 5.0)) * 2.0)))) +(((((((data["te_FLAG_MOBIL"])<(data["te_FLAG_DOCUMENT_12"])) *1.))<(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))) /2.0)) +
0.098242*np.tanh(((((((( data["te_FLAG_DOCUMENT_21"])+(0.0)) /2.0)) * 2.0)) *(((data["te_FLAG_DOCUMENT_2"])-(np.minimum(((data["te_FLAG_DOCUMENT_7"])) ,(( data["te_FLAG_DOCUMENT_12"])))))))) +
0.079640*np.tanh(((-2.0)*(np.minimum(((( 5.0))),(((( data["te_FLAG_DOCUMENT_4"])*(((np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((3.0)>(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))))) * 2.0)))))))))+
0.094568*np.tanh(((((((((data["NAME_GOODS_CATEGORY_Insurance"])+(data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])))*(np.minimum(((2.0)) ,(( np.tanh(( data["te_FLAG_DOCUMENT_19"])))))))) / 2.0)) / 2.0)) +
0.083744*np.tanh(np.minimum(((( -1.0*(((((data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])>(( 3.0)))*1.)))))),(((( data["cnt_FLAG_DOCUMENT_10"])-(np.maximum(((((( 0.0)>(data["cnt_FLAG_DOCUMENT_10"])) *1.))) ,(((((data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])+(-2.0)) /2.0)))))))))) +
0.098671*np.tanh(((((( 2.0)<(np.maximum(((((( data["inst_AMT_PAYMENT"])+(0.0)) /2.0))),(((( data["inst_AMT_PAYMENT"])/ 2.0)))))) *1.))+(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["inst_AMT_PAYMENT"])))*(data["inst_AMT_PAYMENT"])))))+
0.098281*np.tanh(((((((( data["inst_AMT_INSTALMENT"])/ 2.0)) >(2.0)) *1.))+(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( -3.0)))) *(data["inst_AMT_INSTALMENT"])))))+
0.098984*np.tanh(((np.where(((( data["cc_bal_SK_DPD_DEF"])+(data["Amortized_debt"])) /2.0)>0,(( data["inst_AMT_PAYMENT"])-(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) , data["cc_bal_SK_DPD_DEF"])) * 2.0)) +
0.099922*np.tanh(((np.minimum(((data["NAME_GOODS_CATEGORY_Fitness"])) ,(((-1.0*(( data["EMERGENCYSTATE_MODE"])))))))*(((data["NAME_CONTRACT_STATUS_Approved"])*(np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["NAME_GOODS_CATEGORY_Fitness"],(((1.0)+(( -1.0*(( data["EMERGENCYSTATE_MODE"])))))/2.0)))))))+
0.099687*np.tanh(((( data["Amortized_debt"])+(np.where(-1.0>0,(( data["NAME_CONTRACT_STATUS_Canceled"])/ 2.0),(((((np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( data["inst_AMT_PAYMENT"])))) +(data["CODE_REJECT_REASON_LIMIT"])) /2.0)) *(data["inst_AMT_PAYMENT"])))))/2.0)) +
0.072255*np.tanh(((((((((( data["inst_AMT_INSTALMENT"])* 2.0)) / 2.0)) / 2.0)) +(((( -1.0*(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])*(np.tanh(((( data["inst_AMT_INSTALMENT"])-(data["cu__currency_3"])))))))))) / 2.0)))/2.0)) +
0.099453*np.tanh(((((((data["NAME_PORTFOLIO_Cash"])<(((( data["NAME_PORTFOLIO_POS"])+(( 3.68294215202331543)))/2.0)))*1.))<(((data["NAME_PORTFOLIO_POS"])+(np.minimum(((data["NAME_SELLER_INDUSTRY_XNA"])) ,(( np.tanh(( data["NFLAG_INSURED_ON_APPROVAL"])))))))))*1.))+
0.100000*np.tanh(((((((data["NAME_CASH_LOAN_PURPOSE_XAP"])<(((-3.0)/ 2.0)))*1.))>(((( data["NAME_SELLER_INDUSTRY_Connectivity"])<(np.tanh(((( np.tanh(((( data["NAME_CASH_LOAN_PURPOSE_XAP"])/ 2.0)))) / 2.0)))))*1.))) *1.))+
0.099453*np.tanh(( -1.0*(( np.tanh(((((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["CNT_INSTALMENT"])))>(( -1.0*(( np.where(data["inst_AMT_PAYMENT"]>0, data["CNT_INSTALMENT"], np.tanh(( data["inst_AMT_PAYMENT"])))))))) *1.))/ 2.0)))))))+
0.099297*np.tanh(np.tanh(((((data["cc_bal_AMT_PAYMENT_CURRENT"])<(np.where(((data["cc_bal_AMT_PAYMENT_CURRENT"])+(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])) >0,(((((( data["NAME_CONTRACT_STATUS_Approved"])+(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)) +(data["EMERGENCYSTATE_MODE"])) /2.0), data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])))*1.))))+
0.099922*np.tanh(((np.where(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"]>0, np.minimum(((np.tanh(((0.0))))),(((( data["DAYS_FIRST_DRAWING"])/ 2.0)))) , np.minimum(((2.0)) ,(( data["DAYS_FIRST_DRAWING"])))))*(data["inst_NUM_INSTALMENT_NUMBER"])))+
0.075459*np.tanh(((np.tanh(((((((( data["cc_bal_AMT_RECIVABLE"])<(((( data["cc_bal_AMT_PAYMENT_CURRENT"])>(1.0)) *1.))) *1.))+(((((data["cc_bal_AMT_PAYMENT_CURRENT"])*(data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])))*(data["cc_bal_AMT_TOTAL_RECEIVABLE"])))) /2.0)))) / 2.0)) +
0.083353*np.tanh(( -1.0*(((((( data["cc_bal_SK_ID_PREV"])*(np.minimum(((((( data["cc_bal_SK_ID_PREV"])+(data["cc_bal_AMT_TOTAL_RECEIVABLE"])) /2.0))),(((((np.maximum(((data["cc_bal_AMT_TOTAL_RECEIVABLE"])) ,(( -2.0)))) >(2.0)) *1.))))))) * 2.0)))))+
0.087925*np.tanh(((( data["DAYS_FIRST_DUE"])>(np.where(((data["cc_bal_AMT_INST_MIN_REGULARITY"])* 2.0)>0, 2.0,(( np.tanh(((-1.0*(( -1.0)))))) * 2.0)))) *1.))+
0.042009*np.tanh(((((np.tanh(((((data["te_EMERGENCYSTATE_MODE"])+(((((( -2.0)>(data["NAME_CONTRACT_STATUS_Canceled"])) *1.))-(data["NAME_GOODS_CATEGORY_House_Construction"])))) /2.0)))) / 2.0)) / 2.0)) +
0.099648*np.tanh(( -1.0*(((( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])*(((( np.tanh(( data["NFLAG_INSURED_ON_APPROVAL"])))>(np.minimum(((((((( data["NFLAG_INSURED_ON_APPROVAL"])>(data["DAYS_DECISION"])) *1.))/ 2.0))),(( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))*1.))))))) +
0.099961*np.tanh(((((((( 1.0)/ 2.0)) >(data["cc_bal_MONTHS_BALANCE"])) *1.))*(np.where(((data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])/ 2.0)>0, data["NFLAG_INSURED_ON_APPROVAL"], data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])))) +
0.073740*np.tanh(((np.maximum(((((((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))))>(((data["DAYS_FIRST_DRAWING"])/ 2.0)))*1.))/ 2.0))),(((( data["NAME_PORTFOLIO_Cards"])-(( 2.80302000045776367)))))))/ 2.0)) +
0.099805*np.tanh(np.minimum(((np.maximum(((((data["DAYS_DECISION"])*(np.minimum(((((data["NAME_PRODUCT_TYPE_walk_in"])/ 2.0))),(( 1.0))))))),(( -3.0))))),(((((data["DAYS_DECISION"])<(-3.0)) *1.))))) +
0.038453*np.tanh(((data["NFLAG_INSURED_ON_APPROVAL"])*(( -1.0*(( np.maximum(((( -1.0*(( np.maximum(((data["NFLAG_INSURED_ON_APPROVAL"])) ,(( data["DAYS_LAST_DUE_1ST_VERSION"])))))))) ,(( data["cc_bal_AMT_PAYMENT_CURRENT"])))))))))+
0.099766*np.tanh(((np.minimum(((((data["cu__currency_3"])*(((((data["te_FLAG_DOCUMENT_19"])+(-3.0)))* 2.0))))),(( data["cc_bal_AMT_PAYMENT_CURRENT"])))) *(( -1.0*(( data["te_FLAG_DOCUMENT_19"])))))) +
0.089136*np.tanh(((((data["cc_bal_AMT_PAYMENT_CURRENT"])*(np.tanh(((((data["CNT_INSTALMENT_FUTURE"])+(((( -1.0)>(((np.tanh(( data["cc_bal_AMT_PAYMENT_CURRENT"])))* 2.0)))*1.))) /2.0)))))) * 2.0)) +
0.092849*np.tanh(((((((np.where(((data["cc_bal_cc_bal_status__Refused"])-(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) >0,(( data["cc_bal_cc_bal_status__Refused"])*(data["CNT_INSTALMENT_FUTURE"])) , data["te_FLAG_EMAIL"])) *(-3.0)))-(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))/ 2.0)) +
0.099609*np.tanh(((np.minimum(((0.0)) ,(((( np.minimum(((0.0)) ,(((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])*(np.maximum(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0))),(( data["cc_bal_AMT_INST_MIN_REGULARITY"])))))))))* 2.0)))))* 2.0)) +
0.095115*np.tanh(((((((data["te_FLAG_DOCUMENT_20"])+(2.0)) /2.0)) <(((( 1.0)<(((data["CNT_INSTALMENT_FUTURE"])-(( -1.0*(((( data["cc_bal_cc_bal_status__Refused"])* 2.0)))))))) *1.))) *1.)))
| Home Credit Default Risk |
1,020,569 | sub[['Id', 'Expected']].to_csv("Linear_model_with_hist.csv", index=False )<import_modules> | def GPII(data):
return Output(0.100000*np.tanh(((((((data["te_ORGANIZATION_TYPE"])-(((data["EXT_SOURCE_3"])* 2.0)))) -(((data["EXT_SOURCE_2"])-(( -1.0*(( data["EXT_SOURCE_2"])))))))) -(data["EXT_SOURCE_1"])))+
0.100000*np.tanh(((((data["NAME_CONTRACT_STATUS_Refused"])/ 2.0)) +(((((((np.minimum(((data["te_OCCUPATION_TYPE"])) ,(( data["DAYS_BIRTH"])))) -(data["EXT_SOURCE_3"])))* 2.0)) -(((((data["EXT_SOURCE_2"])* 2.0)) +(data["EXT_SOURCE_3"])))))))+
0.100000*np.tanh(((((((-3.0)*(data["EXT_SOURCE_2"])))-(data["EXT_SOURCE_3"])))+(((np.tanh(( data["te_OCCUPATION_TYPE"])))-(((data["EXT_SOURCE_1"])+(((data["EXT_SOURCE_3"])-(0.0)))))))))+
0.100000*np.tanh(((data["te_OCCUPATION_TYPE"])+(((((((data["NAME_CONTRACT_STATUS_Refused"])-(((((( data["EXT_SOURCE_1"])+(np.minimum(((data["EXT_SOURCE_3"])) ,(( data["EXT_SOURCE_3"])))))/2.0)) * 2.0)))) -(data["EXT_SOURCE_2"])))* 2.0)))) +
0.100000*np.tanh(((((((np.tanh(( data["NAME_CONTRACT_STATUS_Refused"])))-(data["EXT_SOURCE_3"])))-(data["EXT_SOURCE_2"])))+(((np.minimum(((((data["EXT_SOURCE_3"])*(-3.0)))) ,(( data["ca__Active"])))) -(data["EXT_SOURCE_2"])))))+
0.100000*np.tanh(((data["te_ORGANIZATION_TYPE"])+(((((((data["NAME_CONTRACT_STATUS_Refused"])-(data["EXT_SOURCE_2"])))-(np.where(data["EXT_SOURCE_1"]>0,(9.09630203247070312), data["ca__Closed"])))) +(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))+
0.100000*np.tanh(((((data["te_OCCUPATION_TYPE"])+(((((((( -1.0*(( data["EXT_SOURCE_2"])))) +(data["te_NAME_EDUCATION_TYPE"])))-(((data["EXT_SOURCE_3"])+(data["EXT_SOURCE_1"])))))+(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))-(data["EXT_SOURCE_3"])))+
0.100000*np.tanh(((((data["NAME_PRODUCT_TYPE_walk_in"])+(((((((np.tanh(((-1.0*(((( 2.0)-(data["cc_bal_AMT_TOTAL_RECEIVABLE"])))))))) +(data["cc_bal_AMT_TOTAL_RECEIVABLE"])))-(data["EXT_SOURCE_2"])))-(data["EXT_SOURCE_3"])))))* 2.0)) +
0.100000*np.tanh(((((((((((((data["te_NAME_EDUCATION_TYPE"])-(data["CODE_GENDER"])))-(data["DAYS_FIRST_DRAWING"])))* 2.0)) * 2.0)) -(((data["EXT_SOURCE_3"])* 2.0)))) * 2.0)) +
0.100000*np.tanh(((((((( data["REGION_RATING_CLIENT"])+(data["te_ORGANIZATION_TYPE"])) /2.0)) +(((np.maximum(((-3.0)) ,(( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))) +(np.minimum(((data["DAYS_CREDIT"])) ,(((( data["cnt_FLAG_DOCUMENT_3"])-(data["EXT_SOURCE_2"])))))))))) * 2.0)) +
0.100000*np.tanh(((((((( 7.0)) *(data["ty__Microloan"])))-(data["EXT_SOURCE_3"])))+(((((( data["CNT_INSTALMENT_FUTURE"])*(data["CNT_INSTALMENT_FUTURE"])))+(((data["EXT_SOURCE_1"])*(((-1.0)* 2.0)))))/2.0)))) +
0.100000*np.tanh(((((( -1.0*(((( data["EXT_SOURCE_3"])-(0.0)))))) +(data["NAME_YIELD_GROUP_high"])))-(( -1.0*(( np.where(((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])/ 2.0)) / 2.0)>0,(8.0), data["te_FLAG_OWN_CAR"])))))))+
0.100000*np.tanh(((((data["CNT_PAYMENT"])-(((((((data["EXT_SOURCE_1"])+(data["SK_ID_PREV_y"])))-(((( data["DEF_30_CNT_SOCIAL_CIRCLE"])+(((data["CNT_PAYMENT"])-(data["EXT_SOURCE_2"])))) /2.0)))) * 2.0)))) +(data["NAME_CLIENT_TYPE_New"])))+
0.100000*np.tanh(((((((np.where(((((2.0)/ 2.0)) -(data["EXT_SOURCE_2"])) >0, data["te_CODE_GENDER"], -2.0)) +(data["te_NAME_CONTRACT_TYPE"])))* 2.0)) +(data["cnt_CODE_GENDER"])))+
0.100000*np.tanh(((((((((data["REG_CITY_NOT_LIVE_CITY"])+(((((data["ty__Microloan"])* 2.0)) * 2.0)))) +(np.maximum(((data["cc_bal_CNT_DRAWINGS_CURRENT"])) ,(((( data["NAME_CONTRACT_STATUS_Refused"])-(data["cnt_REG_CITY_NOT_LIVE_CITY"])))))))) +(data["cc_bal_CNT_DRAWINGS_CURRENT"])))* 2.0)) +
0.100000*np.tanh(((((((((( data["te_NAME_EDUCATION_TYPE"])-(((data["AMT_ANNUITY"])-(((data["CNT_INSTALMENT_FUTURE"])+(data["ty__Microloan"])))))))+(data["DEF_30_CNT_SOCIAL_CIRCLE"])) /2.0)) * 2.0)) * 2.0)) +
0.100000*np.tanh(((data["te_FLAG_DOCUMENT_3"])+(((((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])* 2.0)) +(((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])* 2.0)) +(((0.0)+(data["DAYS_ID_PUBLISH"])))))))-(data["cnt_NAME_FAMILY_STATUS"])))))+
0.100000*np.tanh(((((data["CNT_INSTALMENT_FUTURE"])+(((data["NAME_CLIENT_TYPE_New"])+(((data["avg_buro_buro_bal_status_1"])+(((data["te_WALLSMATERIAL_MODE"])-(data["PRODUCT_COMBINATION_POS_industry_with_interest"])))))))))+(((data["NAME_CLIENT_TYPE_New"])-(data["DAYS_FIRST_DRAWING"])))))+
0.100000*np.tanh(((np.where(data["NAME_YIELD_GROUP_low_action"]>0, -3.0,(( data["REGION_RATING_CLIENT_W_CITY"])+(((data["CNT_PAYMENT"])+(np.maximum(((-3.0)) ,(( data["NAME_YIELD_GROUP_high"])))))))))+(data["ty__Microloan"])))+
0.100000*np.tanh(((((data["AMT_ANNUITY_x"])* 2.0)) +(((((((data["AMT_ANNUITY_x"])* 2.0)) +(np.maximum(((data["NAME_YIELD_GROUP_XNA"])) ,(((( data["DAYS_LAST_PHONE_CHANGE"])/ 2.0)))))))+(((data["PRODUCT_COMBINATION_Cash_X_Sell__low"])*(-3.0)))))))+
0.100000*np.tanh(((((data["cnt_FLAG_OWN_CAR"])-(((data["inst_NUM_INSTALMENT_VERSION"])-(np.where(data["EXT_SOURCE_1"]>0, -3.0, data["CODE_REJECT_REASON_SCOFR"])))))) -(data["RATE_DOWN_PAYMENT"])))+
0.100000*np.tanh(((((((data["OWN_CAR_AGE"])-(((((data["CODE_GENDER"])-(((data["OWN_CAR_AGE"])+(data["OWN_CAR_AGE"])))))/ 2.0)))) * 2.0)) +(np.maximum(((data["CNT_PAYMENT"])) ,(( data["ty__Microloan"])))))) +
0.100000*np.tanh(((((((data["DEF_60_CNT_SOCIAL_CIRCLE"])-(((data["NAME_YIELD_GROUP_low_action"])+(((( data["avg_buro_buro_bal_status_1"])<(data["PRODUCT_COMBINATION_Cash_Street__low"])) *1.))))))+(data["avg_buro_buro_bal_status_1"])))-(data["AMT_ANNUITY"])))+
0.100000*np.tanh(np.where(((data["ty__Mortgage"])* 2.0)>0, -3.0,(((data["cnt_DAYS_BIRTH"])+(((((( data["NAME_PORTFOLIO_XNA"])+(np.maximum(((data["CODE_REJECT_REASON_HC"])) ,(( 0.0)))))/2.0)) -(data["CHANNEL_TYPE_Channel_of_corporate_sales"])))) /2.0)))+
0.100000*np.tanh(((((((data["DAYS_LAST_PHONE_CHANGE"])+(data["nans"])))+(((((((data["SK_DPD"])+(data["CNT_PAYMENT"])))/ 2.0)) * 2.0)))) +(((((-1.0*(( data["PRODUCT_COMBINATION_Cash_Street__low"])))) +(data["cnt_ORGANIZATION_TYPE"])) /2.0)))) +
0.100000*np.tanh(np.where(data["inst_AMT_PAYMENT"]>0,(-1.0*(( data["Active"]))),(((-1.0)>(((np.minimum(((( 1.0))),(( data["inst_AMT_PAYMENT"])))) * 2.0)))*1.))) +
0.100000*np.tanh(((np.where(np.tanh(( np.where(( 10.0)>0, data["cc_bal_AMT_RECIVABLE"], data["cc_bal_AMT_BALANCE"])))>0, data["cc_bal_CNT_DRAWINGS_CURRENT"],(( data["SK_DPD"])*(( 6.0)))))+(( -1.0*(( data["FLAG_DOCUMENT_18"])))))) +
0.100000*np.tanh(((((((((((( data["cnt_FLAG_DOCUMENT_16"])+(data["AMT_ANNUITY_x"])) /2.0)) -(data["ty__Mortgage"])))+(data["ty__Microloan"])))* 2.0)) +(np.tanh(((((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])>(data["ty__Microloan"])) *1.))))))+
0.099961*np.tanh(np.where(data["ca__Sold"]>0, 2.0,(((-1.0*(((( data["RATE_DOWN_PAYMENT"])+(((data["AMT_GOODS_PRICE_x"])*(((((data["AMT_GOODS_PRICE_x"])* 2.0)) -(-1.0)))))))))) +(data["cnt_NAME_INCOME_TYPE"])))) +
0.099961*np.tanh(((((((3.0)*(((( data["CHANNEL_TYPE_AP___Cash_loan_"])>(((data["inst_AMT_PAYMENT"])/ 2.0)))*1.))))* 2.0)) -(( -1.0*(( np.minimum(((data["cnt_WEEKDAY_APPR_PROCESS_START"])) ,(((((data["CHANNEL_TYPE_AP___Cash_loan_"])>(data["MONTHS_BALANCE"])) *1.))))))))))+
0.099961*np.tanh(((((((np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(((((((-1.0*(((((((data["te_FLAG_DOCUMENT_6"])* 2.0)) +(data["CNT_INSTALMENT_FUTURE"])) /2.0)))))* 2.0)) * 2.0)))))-(((data["te_FLAG_DOCUMENT_6"])* 2.0)))) / 2.0)) * 2.0)) +
0.100000*np.tanh(((((( data["te_NAME_FAMILY_STATUS"])-(data["PRODUCT_COMBINATION_Cash_Street__low"])))+(np.minimum(((((( -1.0*(( data["CHANNEL_TYPE_Channel_of_corporate_sales"])))) -(((((data["AMT_CREDIT_SUM_LIMIT"])* 2.0)) * 2.0))))),(((( data["DAYS_REGISTRATION"])/ 2.0)))))) /2.0)) +
0.099805*np.tanh(((((-1.0*(( data["Active"])))) +(((((( data["HOUSETYPE_MODE"])-(data["FLAG_DOCUMENT_18"])))+(((((( data["CODE_REJECT_REASON_SCO"])+(data["CHANNEL_TYPE_Channel_of_corporate_sales"])) /2.0)) *(-2.0)))) /2.0)))/2.0)) +
0.100000*np.tanh(((((((( -1.0*(((( data["inst_NUM_INSTALMENT_VERSION"])*(data["inst_NUM_INSTALMENT_VERSION"])))))) +(data["NFLAG_INSURED_ON_APPROVAL"])) /2.0)) +(((((((( data["cnt_FLAG_PHONE"])+(data["NFLAG_INSURED_ON_APPROVAL"])) /2.0)) -(data["inst_AMT_PAYMENT"])))/ 2.0)))/2.0)) +
0.091051*np.tanh(((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])+(np.maximum(((((-1.0)-(( -1.0*(( data["FLAG_DOCUMENT_2"]))))))),(( np.where(data["cc_bal_AMT_TOTAL_RECEIVABLE"]>0, data["FLAG_WORK_PHONE"], data["cc_bal_AMT_TOTAL_RECEIVABLE"])))))) /2.0)) +
0.099961*np.tanh(np.minimum(((((((((( data["NAME_PAYMENT_TYPE_XNA"])/ 2.0)) +(data["cnt_FLAG_DOCUMENT_13"])) /2.0)) -(np.tanh(((((((data["cnt_FLAG_DOCUMENT_2"])<(data["NAME_PAYMENT_TYPE_XNA"])) *1.))*(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))))))) ,(((5.0)))))+
0.099179*np.tanh(((((-1.0*(((( data["DAYS_ENDDATE_FACT"])+(np.minimum(((data["YEARS_BUILD_MODE"])) ,(((11.45870018005371094)))))))))) +(((((-1.0*(((( data["avg_buro_buro_bal_status_0"])+(data["FLAG_PHONE"])))))) +(( -1.0*(((0.0)))))) /2.0)))/2.0)) +
0.100000*np.tanh(((np.minimum(((((( -2.0)>(data["EXT_SOURCE_3"])) *1.))) ,(((( data["avg_buro_buro_bal_status_1"])-(np.minimum(((data["AMT_REQ_CREDIT_BUREAU_QRT"])) ,(((( data["EXT_SOURCE_3"])-(np.tanh(( -3.0)))))))))))))*(3.0)))+
0.094959*np.tanh(((( data["SK_DPD"])>(((( data["ty__Microloan"])+(np.where(( -1.0*(( data["NAME_GOODS_CATEGORY_Furniture"])))>0,(((data["te_REG_REGION_NOT_LIVE_REGION"])+(((0.0)/ 2.0)))/2.0),(((-1.0*(( data["ty__Microloan"])))) / 2.0)))) /2.0)))*1.))+
0.099883*np.tanh(((np.where(((((( data["NAME_GOODS_CATEGORY_Insurance"])-(data["cnt_FLAG_DOCUMENT_16"])))>(data["ty__Microloan"])) *1.) >0, -2.0, data["ty__Microloan"])) -(np.tanh(((( data["cnt_FLAG_DOCUMENT_2"])* 2.0)))))) +
0.099922*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_FAMILY_STATUS"],(((((((2.0)) +(np.where(np.minimum(((-3.0)) ,(( data["FLAG_DOCUMENT_2"])))>0, data["cnt_FLAG_DOCUMENT_2"], data["NAME_YIELD_GROUP_middle"])))/2.0)) <(data["NAME_YIELD_GROUP_middle"])) *1.))) +
0.099570*np.tanh(np.where(((( data["DAYS_LAST_DUE"])<(data["RATE_DOWN_PAYMENT"])) *1.) >0, np.minimum(((0.0)) ,(((-1.0*(( data["RATE_DOWN_PAYMENT"])))))) ,(((((data["DAYS_LAST_DUE"])+(data["te_CNT_CHILDREN"])) /2.0)) / 2.0)))+
0.100000*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["NAME_GOODS_CATEGORY_Direct_Sales"],(( data["AMT_ANNUITY_x"])-(((((( data["AMT_ANNUITY_x"])+(data["cnt_FLAG_DOCUMENT_2"])) /2.0)) *(((data["inst_DAYS_INSTALMENT"])+(data["AMT_ANNUITY_x"])))))))) +
0.089644*np.tanh(((((((-1.0*(( data["AMT_GOODS_PRICE_x"])))) <(((( data["CHANNEL_TYPE_Channel_of_corporate_sales"])>(((data["AMT_GOODS_PRICE_x"])/ 2.0)))*1.))) *1.))*(np.where(data["AMT_GOODS_PRICE_x"]>0, data["FLAG_DOCUMENT_2"], 3.0)))) +
0.100000*np.tanh(( -1.0*(((((((((((((-1.0*(((( np.tanh(((( -1.0)* 2.0)))) / 2.0)))))+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) +(data["DAYS_EMPLOYED"])))<(data["CODE_REJECT_REASON_SCO"])) *1.))/ 2.0)))))+
0.099883*np.tanh(((((( data["inst_DAYS_INSTALMENT"])<(data["inst_DAYS_ENTRY_PAYMENT"])) *1.))+(np.minimum(((((data["inst_DAYS_INSTALMENT"])*(-1.0)))) ,(( data["AMT_CREDIT_x"])))))) +
0.099961*np.tanh(np.where(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"]>0,(-1.0*(( np.maximum(((( 2.0))),(((( 0.0)* 2.0))))))),(((((data["DAYS_ID_PUBLISH"])-(( -1.0*(( data["DAYS_DECISION"])))))) >(2.0)) *1.))) +
0.099883*np.tanh(np.where(((( np.maximum(((data["NAME_FAMILY_STATUS"])) ,(((( data["NAME_TYPE_SUITE_Unaccompanied"])* 2.0)))))<(-1.0)) *1.) >0, 2.0,(((np.where(data["NAME_FAMILY_STATUS"]>0, -1.0, data["NAME_GOODS_CATEGORY_Direct_Sales"])) +(data["NAME_FAMILY_STATUS"])) /2.0)))+
0.099805*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, 1.0, np.minimum(((data["cc_bal_AMT_BALANCE"])) ,(( np.where(data["cc_bal_SK_DPD_DEF"]>0, np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( 3.0))),(-1.0*(( data["CHANNEL_TYPE_Channel_of_corporate_sales"])))))))))+
0.092927*np.tanh(((((np.where(((np.minimum(((data["cnt_FLAG_DOCUMENT_13"])) ,(( data["FLAG_DOCUMENT_2"])))) -(data["cc_bal_SK_DPD_DEF"])) >0,(( data["CNT_INSTALMENT_FUTURE"])* 2.0), data["cnt_FLAG_DOCUMENT_13"])) -(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))+(data["NAME_GOODS_CATEGORY_Insurance"])))+
0.086753*np.tanh(np.minimum(((((( -1.0*(( data["NAME_GOODS_CATEGORY_Furniture"])))) -(data["inst_AMT_PAYMENT"])))) ,(((((((data["inst_AMT_PAYMENT"])/ 2.0)) <(data["NAME_GOODS_CATEGORY_Furniture"])) *1.))))) +
0.091794*np.tanh(((((( np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["AMT_GOODS_PRICE_y"])))) / 2.0)) >(((data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])*(data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])))) *1.))+
0.099922*np.tanh(( -1.0*(( np.where(data["CNT_INSTALMENT"]>0, data["Active"], np.minimum(((data["SK_ID_PREV_y"])) ,(( 2.0)))))))) +
0.100000*np.tanh(np.where(data["CNT_INSTALMENT_FUTURE"]>0,(( data["SK_DPD"])+(np.minimum(((data["CNT_INSTALMENT_FUTURE"])) ,(( data["SK_ID_PREV_x"]))))), np.tanh(((-1.0*(((((data["SK_ID_PREV_x"])>(data["NAME_PRODUCT_TYPE_x_sell"])) *1.))))))))+
0.099961*np.tanh(np.tanh(((((((((data["SK_DPD"])-(data["FLAG_DOCUMENT_18"])))* 2.0)) >(((( data["NAME_GOODS_CATEGORY_Insurance"])+(( -1.0*(( data["SK_DPD"])))))/2.0)))*1.))))+
0.100000*np.tanh(np.where(( -1.0*(( data["SK_DPD"])))>0,(( np.minimum(((( -1.0*(((((data["PRODUCT_COMBINATION_Cash_X_Sell__low"])+(data["FLAG_DOCUMENT_16"])) /2.0)))))) ,(((-1.0*(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))))/ 2.0), -2.0)) +
0.100000*np.tanh(((((( data["cnt_FLAG_DOCUMENT_2"])+(((( data["SK_DPD"])+(((data["cnt_FLAG_DOCUMENT_2"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) /2.0)))) >(((data["FLAG_DOCUMENT_2"])*(2.0)))) *1.))+
0.100000*np.tanh(((( np.where(np.where(data["CNT_INSTALMENT_FUTURE"]>0, -2.0, data["SK_DPD"])>0, -2.0, data["SK_DPD"])) +(((( data["SK_DPD"])+(( -1.0*(( data["te_REG_REGION_NOT_LIVE_REGION"])))))/2.0)))/2.0)) +
0.099961*np.tanh(( -1.0*(( np.maximum(((((((((((((data["WEEKDAY_APPR_PROCESS_START_SATURDAY"])* 2.0)) +(data["ty__Car_loan"])) /2.0)) +(data["inst_NUM_INSTALMENT_VERSION"])) /2.0)) / 2.0))),(( data["ty__Mortgage"])))))))+
0.100000*np.tanh(((((((((((((data["NAME_GOODS_CATEGORY_Insurance"])+(((data["DAYS_REGISTRATION"])/ 2.0)))/2.0)) / 2.0)) +(((( data["DAYS_REGISTRATION"])+(data["CNT_INSTALMENT_FUTURE"])) /2.0)))) -(2.0)))>(( -1.0*(( data["DAYS_REGISTRATION"])))))*1.))+
0.095858*np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0, 1.0,(((( data["FLAG_DOCUMENT_2"])+(((((( data["DAYS_FIRST_DUE"])+(( -1.0*(( data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])))))) +(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)))) / 2.0)))+
0.099726*np.tanh(((( 13.15089130401611328)) *(np.where(((data["ca__Sold"])-(data["cc_bal_SK_DPD_DEF"])) >0, np.minimum(((data["FLAG_DOCUMENT_2"])) ,(((( np.minimum(((((data["cc_bal_cc_bal_status__Sent_proposal"])* 2.0))),(( data["ca__Sold"])))) * 2.0)))) , data["cc_bal_SK_DPD_DEF"])))) +
0.100000*np.tanh(np.maximum(((np.maximum(((((((( data["cc_bal_CNT_DRAWINGS_CURRENT"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) +(data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"])))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"]))))),(((((((((data["cc_bal_CNT_DRAWINGS_OTHER_CURRENT"])+(data["ca__Sold"])))>(( 5.0)))*1.))* 2.0)))))+
0.099922*np.tanh(( -1.0*(((((data["CHANNEL_TYPE_Channel_of_corporate_sales"])+(np.where(( -1.0*(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))>0, data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"], data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))/2.0)))))+
0.093787*np.tanh(((((((( 6.87359857559204102)) *(((( 6.87359476089477539)) *(((((data["cc_bal_AMT_BALANCE"])-(data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])))*(np.where(data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"]>0, 1.0, 3.0)))))))) * 2.0)) / 2.0)) +
0.099922*np.tanh(((np.minimum(((((1.0)-(data["NAME_YIELD_GROUP_high"])))) ,(((((((data["NAME_YIELD_GROUP_high"])>(((( data["NAME_YIELD_GROUP_high"])>(((data["NAME_YIELD_GROUP_high"])+(data["cnt_HOUR_APPR_PROCESS_START_x"])))) *1.))) *1.))* 2.0)))))/ 2.0)) +
0.099805*np.tanh(((data["NONLIVINGAPARTMENTS_MODE"])-(((((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])+(((( data["FLAG_DOCUMENT_14"])>(( -1.0*(((( data["cc_bal_cc_bal_status__Sent_proposal"])*(( -1.0*(((-1.0*(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))))))))))*1.))))+(data["FLAG_DOCUMENT_14"])) /2.0)))) +
0.099883*np.tanh(((((( data["cnt_FLAG_DOCUMENT_13"])+(np.minimum(((data["cc_bal_SK_ID_PREV"])) ,(((((((( data["cnt_FLAG_DOCUMENT_18"])+(data["cc_bal_SK_ID_PREV"])) /2.0)) +(((data["cnt_FLAG_DOCUMENT_18"])* 2.0)))/2.0)))))))+(( -1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"])))))/2.0)) +
0.094959*np.tanh(((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])+(( -1.0*(( np.where(((((data["AMT_REQ_CREDIT_BUREAU_MON"])/ 2.0)) +(data["AMT_CREDIT_SUM_LIMIT"])) >0, np.maximum(((data["AMT_CREDIT_SUM_LIMIT"])) ,(((( data["AMT_REQ_CREDIT_BUREAU_MON"])/ 2.0)))) , data["FLOORSMAX_MODE"])))))) /2.0)) +
0.099805*np.tanh(((( data["cnt_FLAG_DOCUMENT_2"])<(((( data["NAME_GOODS_CATEGORY_Insurance"])+(((( data["DAYS_FIRST_DUE"])>(((np.tanh(((((1.0)<(data["DAYS_FIRST_DUE"])) *1.))))* 2.0)))*1.))) /2.0)))*1.))+
0.100000*np.tanh(((((((data["NAME_GOODS_CATEGORY_Gardening"])<(data["SK_DPD"])) *1.))+(np.minimum(((np.where(data["SK_DPD"]>0, data["cnt_ORGANIZATION_TYPE"], data["REGION_POPULATION_RELATIVE"]))),(((((1.0)>(data["REGION_POPULATION_RELATIVE"])) *1.))))))/2.0)) +
0.098710*np.tanh(((((data["FLAG_DOCUMENT_16"])*(((data["CODE_REJECT_REASON_SCO"])+(( -1.0*(( data["REGION_RATING_CLIENT_W_CITY"])))))))) * 2.0)) +
0.099766*np.tanh(((np.maximum(((((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["te_ORGANIZATION_TYPE"])) /2.0)) +(((data["FLAG_DOCUMENT_2"])* 2.0)))/2.0))),(( data["cu__currency_3"])))) +(( -1.0*(((((( data["NAME_GOODS_CATEGORY_Gardening"])+(data["cnt_FLAG_DOCUMENT_2"])))/ 2.0)))))))+
0.099883*np.tanh(np.where(np.where(data["cnt_NAME_HOUSING_TYPE"]>0, data["cnt_FLAG_DOCUMENT_16"], data["cnt_NAME_HOUSING_TYPE"])>0, data["FLAG_DOCUMENT_16"], np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["FLAG_DOCUMENT_16"], data["cnt_FLAG_DOCUMENT_16"])))+
0.087261*np.tanh(np.minimum(((((data["cnt_FLAG_DOCUMENT_16"])-(((( np.tanh(( data["NAME_GOODS_CATEGORY_Clothing_and_Accessories"])))>(np.tanh(( np.minimum(((((( data["cnt_FLAG_DOCUMENT_16"])+(data["cnt_FLAG_DOCUMENT_16"])) /2.0))),(( data["FLAG_DOCUMENT_16"])))))))*1.))))) ,(( data["te_FLAG_DOCUMENT_16"])))) +
0.100000*np.tanh(((((((( -1.0*(( np.minimum(((data["AMT_CREDIT_SUM_DEBT"])) ,(((0.37224778532981873)))))))) * 2.0)) *(data["AMT_CREDIT_SUM_DEBT"])))-(np.where(data["AMT_CREDIT_SUM_DEBT"]>0, -3.0,(((-1.0*(( data["AMT_CREDIT_SUM_DEBT"])))) * 2.0)))))+
0.099922*np.tanh(((((( data["DAYS_EMPLOYED"])>(np.minimum(((np.tanh(( np.minimum(((data["DAYS_EMPLOYED"])) ,(((( 0.0)+(((( -1.0*(( 1.0)))) / 2.0)))))))))) ,(( data["avg_buro_buro_bal_status_0"])))))*1.))/ 2.0)) +
0.100000*np.tanh(np.where(data["EXT_SOURCE_3"]>0, data["EXT_SOURCE_3"],(( data["EXT_SOURCE_3"])*(((data["EXT_SOURCE_3"])+(2.0)))))) +
0.100000*np.tanh(((((np.maximum(((np.maximum(((-3.0)) ,(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0)))))) ,(((((-1.0*(((( data["EXT_SOURCE_3"])* 2.0)))))+(-3.0)))))) * 2.0)) * 2.0)) +
0.098085*np.tanh(np.minimum(((((((-1.0*(( data["ty__Car_loan"])))) +(np.maximum(((((( -1.0*(( data["inst_AMT_PAYMENT"])))) / 2.0))),(( data["AMT_REQ_CREDIT_BUREAU_DAY"])))))/2.0))),(((((( 2.0)* 2.0)) -(data["te_LIVE_REGION_NOT_WORK_REGION"])))))) +
0.099922*np.tanh(((np.minimum(((np.where(((( data["te_OCCUPATION_TYPE"])<(1.0)) *1.) >0, data["FLAG_DOCUMENT_2"], np.minimum(((data["AMT_CREDIT_y"])) ,(( data["AMT_CREDIT_y"])))))) ,(( np.where(data["cc_bal_cc_bal_status__Sent_proposal"]>0, data["FLAG_DOCUMENT_2"], data["AMT_CREDIT_y"])))))/ 2.0)) +
0.099844*np.tanh(((( -1.0*(((((-1.0)>(((data["PRODUCT_COMBINATION_Cash_Street__low"])*(data["inst_AMT_PAYMENT"])))) *1.))))) -(((( np.maximum(((-2.0)) ,(( data["PRODUCT_COMBINATION_Cash_Street__low"])))) >(((2.0)* 2.0)))*1.))))+
0.099648*np.tanh(((np.maximum(((((data["Returned_to_the_store"])+(np.tanh(((( data["cc_bal_cc_bal_status__Sent_proposal"])*(((( data["Returned_to_the_store"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0))))))))),(( np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["te_CNT_CHILDREN"])))))))* 2.0)) +
0.099648*np.tanh(((((( data["cnt_FLAG_DOCUMENT_15"])+(data["FLAG_DOCUMENT_2"])) /2.0)) +(np.where(((( 1.49800336360931396)) -(((-3.0)+(data["ca__Sold"])))) >0, data["NAME_GOODS_CATEGORY_Insurance"], data["ca__Sold"])))) +
0.099922*np.tanh(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])>(((((( 3.23952984809875488)) *(((((((data["cnt_FLAG_DOCUMENT_5"])/ 2.0)) -(np.where(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"]>0, data["CODE_REJECT_REASON_SCOFR"], -1.0)))) * 2.0)))) * 2.0)))*1.))+
0.080813*np.tanh(((( np.tanh(( np.tanh(((4.0)))))) +(np.minimum(((data["AMT_CREDIT_x"])) ,(((((( data["NAME_GOODS_CATEGORY_Insurance"])-(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))*(2.0)))))))/2.0)) +
0.099961*np.tanh(( -1.0*(((((((( 6.0)) *(data["cc_bal_SK_DPD_DEF"])))>(((( 1.0)+(data["AMT_GOODS_PRICE_x"])) /2.0)))*1.))))) +
0.083783*np.tanh(( -1.0*(((((data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])>(((((( data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])<(data["inst_AMT_PAYMENT"])) *1.))*(data["cnt_HOUR_APPR_PROCESS_START_x"])))) *1.))))) +
0.099922*np.tanh(np.tanh(((( np.where(((np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["AMT_GOODS_PRICE_x"])))) *(data["AMT_CREDIT_y"])) >0, data["cc_bal_CNT_DRAWINGS_CURRENT"],(-1.0*(( data["AMT_GOODS_PRICE_x"])))))/ 2.0)))) +
0.099766*np.tanh(((((((((((2.0)>(data["PRODUCT_COMBINATION_Cash_X_Sell__low"])) *1.))-(1.0)))+(((((( data["NAME_GOODS_CATEGORY_Insurance"])>(((( data["SK_DPD"])>(data["cc_bal_cc_bal_status__Sent_proposal"])) *1.))) *1.))* 2.0)))/2.0)) * 2.0)) +
0.076983*np.tanh(((((((((((data["SK_DPD"])* 2.0)) >(data["PRODUCT_COMBINATION_POS_industry_without_interest"])) *1.))+(np.tanh(( np.tanh(( np.tanh(((((data["FLAG_DOCUMENT_2"])+(((((data["HOUSETYPE_MODE"])/ 2.0)) / 2.0)))/2.0)))))))))/2.0)) * 2.0)) +
0.099922*np.tanh(((np.where(((( np.maximum(((((2.0)* 2.0))),(((((data["te_FLAG_OWN_REALTY"])>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))))) <(data["NAME_TYPE_SUITE_Children"])) *1.) >0, data["NAME_TYPE_SUITE_Children"],(( data["CODE_REJECT_REASON_VERIF"])/ 2.0)))*(data["te_FLAG_OWN_REALTY"])))+
0.099961*np.tanh(np.minimum(((((((((( 2.68808555603027344)) <(data["AMT_CREDIT_y"])) *1.))+(0.0)) /2.0))),(((((((2.0)>(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) *1.))-(data["te_NAME_EDUCATION_TYPE"])))))) +
0.099766*np.tanh(((((((data["cu__currency_3"])* 2.0)) -(data["YEARS_BEGINEXPLUATATION_MODE"])))*(np.maximum(((data["ORGANIZATION_TYPE"])) ,(((((-1.0*(((( data["YEARS_BEGINEXPLUATATION_MODE"])+(((data["cc_bal_cc_bal_status__Sent_proposal"])* 2.0)))))))+(data["ORGANIZATION_TYPE"])))))))) +
0.099922*np.tanh(( -1.0*(((((np.maximum(((((( data["NAME_GOODS_CATEGORY_Insurance"])+(np.maximum(((((( data["NAME_GOODS_CATEGORY_Insurance"])+(1.0)) /2.0))),(( data["WEEKDAY_APPR_PROCESS_START_TUESDAY"])))))/2.0))),(( data["cc_bal_cc_bal_status__Sent_proposal"])))) +(np.minimum(((data["SK_ID_PREV_y"])) ,(( 0.0)))))/2.0)))))+
0.099961*np.tanh(((((((((( np.maximum(((0.0)) ,(( data["NAME_CLIENT_TYPE_Repeater"])))) <(data["AMT_CREDIT_y"])) *1.))*(((data["NAME_CLIENT_TYPE_Repeater"])/ 2.0)))) * 2.0)) *(data["AMT_CREDIT_y"])))+
0.094216*np.tanh(((((-1.0*(( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))) +(( -1.0*(((((data["NAME_CONTRACT_STATUS_Refused"])>(np.where(data["cc_bal_SK_DPD_DEF"]>0, data["CODE_REJECT_REASON_XAP"], 1.0)))*1.))))))/2.0)) +
0.098515*np.tanh(np.maximum(((((((( data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])* 2.0)) +(np.minimum(((data["SK_ID_PREV_x"])) ,(( 1.0)))))/2.0))),(((((((1.0)-(data["NAME_GOODS_CATEGORY_Insurance"])))<(((data["cc_bal_AMT_RECIVABLE"])/ 2.0)))*1.))))) +
0.100000*np.tanh(np.minimum(((np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["cc_bal_SK_DPD_DEF"]))))),(((-1.0*(( np.minimum(((((data["inst_SK_ID_PREV"])* 2.0))),(((-1.0*(( np.tanh(((-1.0*(((((data["AMT_REQ_CREDIT_BUREAU_YEAR"])+(data["DAYS_LAST_DUE_1ST_VERSION"])) /2.0)))))))))))))))))))+
0.099922*np.tanh(( -1.0*(((((((data["cc_bal_SK_DPD_DEF"])<(data["cu__currency_3"])) *1.))-(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])>(np.tanh(((((((data["cc_bal_SK_DPD_DEF"])>(-1.0)) *1.))+(1.0)))))) *1.))))))) +
0.099883*np.tanh(((np.minimum(((((data["NONLIVINGAPARTMENTS_MODE"])*(np.maximum(((data["NAME_TYPE_SUITE_Unaccompanied"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"]))))))),(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))) *(((data["cc_bal_SK_DPD_DEF"])+(((data["NAME_TYPE_SUITE_Unaccompanied"])* 2.0)))))) +
0.099687*np.tanh(((data["cu__currency_3"])+(((((data["inst_AMT_PAYMENT"])*(((data["FLAG_DOCUMENT_14"])-(np.maximum(((((data["cu__currency_3"])-(data["inst_AMT_PAYMENT"])))) ,(( data["cc_bal_SK_DPD_DEF"])))))))) -(data["cnt_FLAG_DOCUMENT_2"])))))+
0.100000*np.tanh(np.tanh(((((( data["EXT_SOURCE_2"])*(data["EXT_SOURCE_2"])))+(((data["EXT_SOURCE_2"])* 2.0)))))) +
0.100000*np.tanh(( -1.0*(((( np.minimum(((( 0.67251223325729370))),(((((((( data["EXT_SOURCE_2"])+(( -1.0*(( -2.0)))))) * 2.0)) * 2.0)))))/ 2.0)))))+
0.093083*np.tanh(((np.where(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"]>0, data["AMT_CREDIT_y"],(((((data["HOUR_APPR_PROCESS_START_y"])<(np.tanh(( -2.0)))) *1.))/ 2.0)))-(((( 1.0)<(data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])) *1.))))+
0.099297*np.tanh(((( data["cc_bal_SK_DPD_DEF"])+(((data["cnt_FLAG_DOCUMENT_14"])+(np.maximum(((((((np.tanh(( data["ENTRANCES_AVG"])))/ 2.0)) -(1.0)))) ,(((( data["cu__currency_3"])-(data["ENTRANCES_MEDI"])))))))))/2.0)) +
0.099570*np.tanh(((( np.where(data["PRODUCT_COMBINATION_POS_industry_without_interest"]>0, np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((-1.0*(( data["LIVINGAPARTMENTS_AVG"])))))) , data["LIVINGAPARTMENTS_AVG"])) +(((( data["CNT_INSTALMENT_FUTURE"])>(3.0)) *1.))) /2.0)) +
0.099687*np.tanh(((((( data["FLAG_CONT_MOBILE"])<(data["cc_bal_SK_DPD_DEF"])) *1.))+(np.where(np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))>0, np.tanh(( data["FLAG_WORK_PHONE"])) , data["NAME_GOODS_CATEGORY_Direct_Sales"])))) +
0.100000*np.tanh(((((((data["FLAG_DOCUMENT_11"])-(((np.maximum(((data["FLAG_DOCUMENT_11"])) ,(( data["SK_DPD"])))) / 2.0)))) *(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(3.0)))))* 2.0)) +
0.099570*np.tanh(((((((data["NAME_TYPE_SUITE_Children"])*(((((data["NAME_TYPE_SUITE_Children"])*(np.tanh(( data["ty__Microloan"])))))-(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])) ,(( np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])) ,(( -2.0)))))))))))* 2.0)) * 2.0)) +
0.100000*np.tanh(np.minimum(((data["cnt_FLAG_DOCUMENT_13"])) ,(((((((( 3.0)-(data["ty__Mortgage"])))* 2.0)) +(((data["cnt_FLAG_DOCUMENT_15"])+(data["cnt_FLAG_DOCUMENT_15"])))))))) +
0.099609*np.tanh(((( data["NAME_GOODS_CATEGORY_Insurance"])+(((((((( data["PRODUCT_COMBINATION_POS_industry_without_interest"])* 2.0)) +(((((10.99971294403076172)) <(( 14.19601345062255859)))*1.))) /2.0)) *(np.minimum(((2.0)) ,(((((data["PRODUCT_COMBINATION_Card_X_Sell"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)))))))) /2.0)) +
0.090895*np.tanh(((((((( 2.0)*(((((((-1.0*(( data["avg_buro_MONTHS_BALANCE"])))) +(data["cu__currency_3"])) /2.0)) / 2.0)))) +(((( data["cnt_FLAG_DOCUMENT_11"])+(((data["cc_bal_SK_DPD_DEF"])/ 2.0)))/2.0)))/2.0)) +(data["cu__currency_3"])))+
0.077999*np.tanh(((((((((0.0)<(data["DAYS_LAST_DUE_1ST_VERSION"])) *1.))* 2.0)) <(data["DAYS_CREDIT_ENDDATE"])) *1.))+
0.100000*np.tanh(((((((-1.0*(((((np.tanh(( data["NAME_CONTRACT_STATUS_Approved"])))<(np.tanh(( data["te_OCCUPATION_TYPE"])))) *1.))))) / 2.0)) +(data["cnt_FLAG_DOCUMENT_17"])) /2.0)) +
0.074951*np.tanh(np.where(data["NAME_CLIENT_TYPE_Repeater"]>0,(( data["CODE_GENDER"])*(( -1.0*(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((data["CODE_GENDER"])* 2.0)))) +(data["te_ORGANIZATION_TYPE"])) /2.0)))))) , data["NAME_GOODS_CATEGORY_Direct_Sales"])) +
0.099375*np.tanh(np.minimum(((((((-1.0*(( data["DAYS_BIRTH"])))) +(2.0)) /2.0))),(((( data["DAYS_BIRTH"])*(((data["cnt_DAYS_BIRTH"])+(np.tanh(( 2.0)))))))))) +
0.099062*np.tanh(( -1.0*(((((((-1.0)-(data["DAYS_ID_PUBLISH"])))>(((((( -1.0)/ 2.0)) +(np.tanh(( data["cnt_FLAG_EMAIL"])))) /2.0)))*1.))))) +
0.083314*np.tanh(np.where(( -1.0*(((((data["FLAG_EMP_PHONE"])+(data["DAYS_EMPLOYED"])) /2.0)))) >0, -1.0, 1.0)) +
0.084252*np.tanh(((data["DAYS_BIRTH"])*(np.maximum(((((-3.0)*(((((6.0)) +(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0))))),(((( 1.0)-(np.maximum(((data["DAYS_BIRTH"])) ,(( data["AMT_CREDIT_y"])))))))))))+
0.099766*np.tanh(((data["CNT_FAM_MEMBERS"])*(((((-1.0)+(data["DAYS_BIRTH"])))/ 2.0)))) +
0.089293*np.tanh(((((( 0.0)+(np.where(data["NAME_EDUCATION_TYPE"]>0, data["AMT_CREDIT_x"],(( data["FLAG_WORK_PHONE"])/ 2.0)))))+(((data["AMT_CREDIT_x"])*(( -1.0*(( data["FLAG_WORK_PHONE"])))))))/2.0)) +
0.081907*np.tanh(np.where(np.maximum(((data["te_FLAG_OWN_REALTY"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))>0,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0),(((0.0)>(data["cnt_NAME_CONTRACT_TYPE"])) *1.))) +
0.099922*np.tanh(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((( data["MONTHS_BALANCE"])>(np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( np.maximum(((0.0)) ,(((( 2.0)+(data["WALLSMATERIAL_MODE"])))))))))) *1.))))* 2.0)) * 2.0)) +
0.100000*np.tanh(((((data["inst_AMT_PAYMENT"])-(-1.0)))*(((data["MONTHS_BALANCE"])*(( -1.0*(((((data["inst_DAYS_ENTRY_PAYMENT"])<(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_CASH_LOAN_PURPOSE_Furniture"], data["inst_DAYS_INSTALMENT"])))*1.))))))))) +
0.098632*np.tanh(np.where(((data["CNT_INSTALMENT_FUTURE"])/ 2.0)>0,(((data["NAME_GOODS_CATEGORY_Construction_Materials"])<(data["NAME_EDUCATION_TYPE"])) *1.) ,(( data["NAME_EDUCATION_TYPE"])*(((data["NAME_EDUCATION_TYPE"])*(data["NAME_GOODS_CATEGORY_Construction_Materials"])))))) +
0.100000*np.tanh(( -1.0*(((( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["AMT_GOODS_PRICE_x"],(((((( np.tanh(( -1.0)))+(data["PRODUCT_COMBINATION_Cash_Street__low"])) /2.0)) >(((((9.59368038177490234)) >(-1.0)) *1.))) *1.))) * 2.0)))))+
0.099375*np.tanh(((((np.tanh(( -3.0)))-(data["NAME_SELLER_INDUSTRY_Connectivity"])))*(np.tanh(((( data["NONLIVINGAREA_MODE"])/ 2.0)))))) +
0.071317*np.tanh(((data["CODE_GENDER"])*(np.minimum(((np.minimum(((data["NONLIVINGAPARTMENTS_MODE"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"]))))),(( np.tanh(( np.minimum(((data["NONLIVINGAPARTMENTS_MODE"])) ,(((((( data["NONLIVINGAPARTMENTS_MODE"])*(data["WALLSMATERIAL_MODE"])))* 2.0)))))))))))) +
0.071317*np.tanh(((np.where(data["NAME_CASH_LOAN_PURPOSE_Furniture"]>0,(((( 1.0)+(data["cnt_HOUR_APPR_PROCESS_START_x"])))+(data["NAME_GOODS_CATEGORY_Insurance"])) , np.minimum(((0.0)) ,(((((( data["WALLSMATERIAL_MODE"])*(-1.0)))/ 2.0)))))) / 2.0)) +
0.091364*np.tanh(np.minimum(((((data["cnt_FLAG_DOCUMENT_16"])-(((((((( 0.0)* 2.0)) / 2.0)) >(( -1.0*(( data["NAME_GOODS_CATEGORY_House_Construction"])))))*1.))))) ,(((-1.0*(((((data["FLAG_DOCUMENT_16"])+(data["ty__Another_type_of_loan"])) /2.0)))))))) +
0.099805*np.tanh(np.where(((1.0)*(((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])>(data["NONLIVINGAPARTMENTS_MODE"])) *1.))) >0,(( data["cc_bal_SK_ID_PREV"])/ 2.0), np.maximum(((data["FLAG_DOCUMENT_21"])) ,(( data["NAME_SELLER_INDUSTRY_Auto_technology"])))))+
0.087339*np.tanh(((data["AMT_CREDIT_x"])*(np.maximum(((-3.0)) ,(((((( -1.0*(( data["DAYS_ID_PUBLISH"])))) +(((((((-2.0)>(data["DAYS_ID_PUBLISH"])) *1.))<(data["NONLIVINGAPARTMENTS_MODE"])) *1.))) /2.0)))))))+
0.099023*np.tanh(((((np.minimum(((((2.0)-(data["NONLIVINGAPARTMENTS_MODE"])))) ,(( data["NONLIVINGAPARTMENTS_MODE"])))) *(((data["te_LIVE_CITY_NOT_WORK_CITY"])-(data["NONLIVINGAPARTMENTS_MODE"])))))* 2.0)) +
0.099844*np.tanh(((((( -1.0*(((((data["cc_bal_cc_bal_status__Sent_proposal"])+(((((2.0)+(( 5.66302442550659180)))) *(data["AMT_CREDIT_x"])))) /2.0)))))*(((data["cc_bal_cc_bal_status__Sent_proposal"])/ 2.0)))) -(data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])))+
0.099844*np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Medicine"])-(np.where(data["NAME_CASH_LOAN_PURPOSE_Medicine"]>0, data["Active"],(((((( np.tanh(((5.0)))) >(data["Active"])) *1.))<(np.tanh(( data["inst_AMT_PAYMENT"])))) *1.))))) +
0.099961*np.tanh(((2.0)*(((((np.maximum(((((data["AMT_CREDIT_MAX_OVERDUE"])+(data["cnt_FLAG_DOCUMENT_2"])))) ,(((( data["AMT_CREDIT_MAX_OVERDUE"])*(( 9.91402626037597656)))))))*(( 9.91402626037597656)))) * 2.0)))) +
0.093318*np.tanh(np.where(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"]>0, data["SK_ID_BUREAU"], np.where(((((((1.0)+(2.0)) /2.0)) <(data["SK_ID_BUREAU"])) *1.) >0, data["SK_ID_PREV_x"],(( data["SK_ID_BUREAU"])*(data["SK_ID_PREV_x"])))))+
0.076045*np.tanh(np.where(np.minimum(((1.0)) ,(((((( -1.0*(( -3.0)))) >(data["avg_buro_buro_count"])) *1.))))>0, np.minimum(((((data["NAME_YIELD_GROUP_high"])*(data["avg_buro_buro_count"])))) ,(((( data["PRODUCT_COMBINATION_Cash"])/ 2.0)))) , 1.0)) +
0.099961*np.tanh(((((((( data["AMT_CREDIT_SUM"])* 2.0)) <(((( 1.0)+(np.where(( -1.0*(((6.0)))) >0, data["avg_buro_buro_count"],(((( -1.0)/ 2.0)) -(2.0)))))/2.0)))*1.))* 2.0)) +
0.099961*np.tanh(((((((-1.0*(( -2.0)))) <(((data["NAME_GOODS_CATEGORY_Insurance"])+(data["SK_ID_BUREAU"])))) *1.))-(np.where(((data["avg_buro_buro_count"])*(-1.0)) >0, data["PRODUCT_COMBINATION_Cash_X_Sell__low"],(0.0)))))+
0.099805*np.tanh(np.minimum(((((((( 2.0)<(data["CNT_INSTALMENT_FUTURE"])) *1.))/ 2.0))),(((((data["cnt_FLAG_EMAIL"])+(np.maximum(((3.0)) ,(( data["CNT_INSTALMENT_FUTURE"])))))/2.0)))))+
0.099922*np.tanh(((((((((((np.maximum(((1.0)) ,(((((-3.0)>(( 12.31715393066406250)))*1.))))) <(data["CNT_INSTALMENT"])) *1.))* 2.0)) <(np.where(data["DAYS_BIRTH"]>0, data["EXT_SOURCE_3"], data["AMT_CREDIT_x"])))*1.))/ 2.0)) +
0.078077*np.tanh(np.minimum(((((data["NAME_GOODS_CATEGORY_Insurance"])-(((( data["NAME_GOODS_CATEGORY_Insurance"])+(data["te_WALLSMATERIAL_MODE"])) /2.0))))),(((((( -1.0)*(((( data["NAME_CLIENT_TYPE_Repeater"])<(data["DAYS_BIRTH"])) *1.))))/ 2.0)))))+
0.095506*np.tanh(((((((( data["SK_ID_PREV_y"])*(data["inst_AMT_PAYMENT"])))* 2.0)) +(((data["SK_ID_PREV_y"])*(np.minimum(((data["EXT_SOURCE_2"])) ,(((((data["inst_AMT_PAYMENT"])>(0.0)) *1.))))))))/2.0)) +
0.100000*np.tanh(((((data["AMT_GOODS_PRICE_x"])*(np.tanh(( np.minimum(((( -1.0*(( data["CNT_INSTALMENT_FUTURE"]))))),(((((((data["NAME_CLIENT_TYPE_Repeater"])+(( -1.0*(( data["AMT_GOODS_PRICE_x"])))))/2.0)) / 2.0)))))))))/ 2.0)) +
0.099961*np.tanh(np.tanh(((((((((( data["NAME_CLIENT_TYPE_Repeater"])+(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])) /2.0)) +(np.where(((((( data["AMT_CREDIT_x"])/ 2.0)) >(data["AMT_CREDIT_y"])) *1.) >0, data["AMT_CREDIT_x"], data["NAME_GOODS_CATEGORY_Insurance"])))/2.0)) / 2.0)))) +
0.099922*np.tanh(((((-1.0*(((((((data["DAYS_LAST_DUE_1ST_VERSION"])>(((((2.0)) >(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))) *1.))*(data["inst_NUM_INSTALMENT_NUMBER"])))))) +(((((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])<(data["inst_NUM_INSTALMENT_NUMBER"])) *1.))*(data["NAME_CONTRACT_STATUS_Approved"])))) /2.0)) +
0.069949*np.tanh(np.where(((data["AMT_GOODS_PRICE_x"])* 2.0)>0, data["Completed"],(((((np.tanh(( data["SK_ID_PREV_x"])))+(np.tanh(( 1.0)))) /2.0)) / 2.0)))+
0.099883*np.tanh(((3.0)*(np.minimum(((np.minimum(((((data["AMT_CREDIT_x"])+(1.0)))) ,(((( data["NAME_GOODS_CATEGORY_Insurance"])*(data["NAME_CASH_LOAN_PURPOSE_Furniture"]))))))),(((((data["AMT_CREDIT_x"])+(1.0)) /2.0)))))))+
0.099687*np.tanh(((data["CNT_INSTALMENT_FUTURE"])*(((((((( data["AMT_GOODS_PRICE_x"])*(( -1.0*(( data["SK_DPD"])))))) <(data["SK_DPD"])) *1.))* 2.0)))) +
0.099375*np.tanh(((((((-1.0*(( np.tanh(( np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(((( data["FLAG_DOCUMENT_2"])*(data["SK_DPD"])))))))))))+(((((data["SK_DPD"])-(((data["AMT_GOODS_PRICE_x"])/ 2.0)))) / 2.0)))/2.0)) / 2.0)) +
0.099922*np.tanh(np.where(data["SK_DPD"]>0,(-1.0*(( data["te_OCCUPATION_TYPE"]))),(((( np.where(data["AMT_CREDIT_x"]>0,(-1.0*(( data["te_OCCUPATION_TYPE"]))),(((( -2.0)/ 2.0)) / 2.0)))/ 2.0)) / 2.0)))+
0.099414*np.tanh(((((( data["AMT_CREDIT_x"])>(np.maximum(((( -1.0*(( data["cnt_NAME_EDUCATION_TYPE"]))))),(((((((( -1.0*(( np.minimum(((data["AMT_CREDIT_x"])) ,(( np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))))))/ 2.0)) >(data["SK_DPD"])) *1.))))))*1.))/ 2.0)) +
0.087612*np.tanh(np.minimum(((((( data["cnt_FLAG_DOCUMENT_17"])+(data["cnt_FLAG_DOCUMENT_15"])) /2.0))),(( np.tanh(((( np.maximum(((data["cnt_FLAG_DOCUMENT_17"])) ,(((-1.0*(( data["AMT_GOODS_PRICE_x"])))))))-(np.where(-3.0>0, data["cnt_FLAG_DOCUMENT_17"], data["cnt_NAME_HOUSING_TYPE"])))))))))+
0.099609*np.tanh(((data["NAME_SELLER_INDUSTRY_MLM_partners"])*(((np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_GOODS_CATEGORY_Direct_Sales"],(-1.0*(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))-(np.maximum(((np.maximum(((3.0)) ,(( data["SK_DPD"]))))),(( 0.0)))))))) +
0.099805*np.tanh(np.minimum(((((np.minimum(((data["FLAG_DOCUMENT_21"])) ,(((( data["AMT_CREDIT_x"])/ 2.0)))))*(data["AMT_REQ_CREDIT_BUREAU_MON"])))) ,(( np.tanh(((( np.minimum(((((data["AMT_CREDIT_x"])/ 2.0))),(( 0.0)))) / 2.0)))))))+
0.099101*np.tanh(((((((((((data["AMT_GOODS_PRICE_x"])<(((np.tanh(((10.0)))) / 2.0)))*1.))>(((((((data["inst_AMT_PAYMENT"])+(0.0)) /2.0)) >(( -1.0*(( 0.0)))))*1.))) *1.))/ 2.0)) / 2.0)) +
0.099570*np.tanh(((((((( 3.0)<(((((( data["NAME_YIELD_GROUP_high"])+(((( -2.0)>(np.tanh(( data["FLAG_DOCUMENT_21"])))) *1.))) /2.0)) +(data["AMT_CREDIT_y"])))) *1.))-(data["cnt_FLAG_DOCUMENT_21"])))* 2.0)) +
0.099766*np.tanh(((((((data["FLAG_DOCUMENT_2"])+(( -1.0*(((((data["AMT_GOODS_PRICE_x"])>(np.tanh(( np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((( data["AMT_GOODS_PRICE_x"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))))*1.))))))) / 2.0)) / 2.0)) +
0.088081*np.tanh(((((((data["AMT_CREDIT_x"])+(data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) /2.0)) +(((( -3.0)>(((data["AMT_CREDIT_x"])+(((data["AMT_CREDIT_x"])* 2.0)))))*1.))) /2.0)) +
0.098515*np.tanh(((data["AMT_GOODS_PRICE_x"])*(np.where(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(data["NAME_GOODS_CATEGORY_Insurance"])) >0, -1.0,(( data["AMT_GOODS_PRICE_x"])*(np.tanh(( data["CODE_REJECT_REASON_VERIF"])))))))) +
0.098163*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Furniture"]>0,(( data["OCCUPATION_TYPE"])/ 2.0),(((((( data["te_WEEKDAY_APPR_PROCESS_START"])/ 2.0)) / 2.0)) / 2.0)))+
0.099961*np.tanh(( -1.0*(((( 3.0)*(((( data["CODE_REJECT_REASON_VERIF"])>(((( 9.0)) +(( -1.0*(( np.maximum(((np.minimum(((data["te_REG_REGION_NOT_LIVE_REGION"])) ,(( data["te_REG_REGION_NOT_LIVE_REGION"]))))),(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))))))) *1.))))))) +
0.099961*np.tanh(((( data["cnt_FLAG_DOCUMENT_17"])>(((data["CODE_REJECT_REASON_VERIF"])-(np.where(data["SK_DPD"]>0, -3.0,(( data["SK_DPD"])* 2.0)))))) *1.))+
0.099375*np.tanh(((((data["NAME_EDUCATION_TYPE"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+(((((np.minimum(((data["cnt_FLAG_DOCUMENT_17"])) ,(((((((10.18762969970703125)) -(data["CODE_REJECT_REASON_VERIF"])))+(( 3.18121862411499023)))))))/ 2.0)) / 2.0)))) +
0.078351*np.tanh(((((( -1.0*(( data["NAME_YIELD_GROUP_high"])))) *(((((-1.0*(( -1.0)))) <(((data["cnt_HOUR_APPR_PROCESS_START_x"])*(2.0)))) *1.))))/ 2.0)) +
0.099570*np.tanh(((( -1.0*(((( np.minimum(((((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(data["PRODUCT_COMBINATION_Cash_Street__high"])))* 2.0))),(( 2.0)))) +(((( 3.0)<(data["PRODUCT_COMBINATION_Cash_X_Sell__low"])) *1.))))))) * 2.0)) +
0.098437*np.tanh(((data["SK_DPD"])*(((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])+(((((data["PRODUCT_COMBINATION_Card_Street"])+(((data["PRODUCT_COMBINATION_Card_Street"])-(((data["NAME_SELLER_INDUSTRY_Connectivity"])* 2.0)))))) -(data["NAME_GOODS_CATEGORY_Insurance"])))))))+
0.099726*np.tanh(((data["AMT_CREDIT_x"])*(((((((data["ty__Mortgage"])>(((( data["NAME_GOODS_CATEGORY_Insurance"])+(np.where(data["ty__Mortgage"]>0, 3.0, 1.0)))/2.0)))*1.))<(((data["ty__Mortgage"])/ 2.0)))*1.))))+
0.099961*np.tanh(( -1.0*(( np.where(data["ty__Mortgage"]>0, data["cc_bal_CNT_DRAWINGS_CURRENT"],(((((3.0)<(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])+(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) /2.0)))*1.))*(( -1.0*(( data["cc_bal_CNT_DRAWINGS_CURRENT"])))))))))) +
0.099766*np.tanh(np.where(0.0>0, -3.0, np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0,(((data["DEF_30_CNT_SOCIAL_CIRCLE"])>(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.) , np.where(data["cu__currency_3"]>0, 2.0,(((data["DEF_30_CNT_SOCIAL_CIRCLE"])>(2.0)) *1.))))) +
0.099609*np.tanh(np.minimum(((( -1.0*(( np.where(((data["NAME_YIELD_GROUP_high"])/ 2.0)>0, data["ty__Mortgage"], data["NAME_GOODS_CATEGORY_Weapon"])))))) ,(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["cnt_HOUR_APPR_PROCESS_START_x"], data["NAME_GOODS_CATEGORY_Direct_Sales"])))))+
0.093591*np.tanh(( -1.0*(((((( data["CHANNEL_TYPE_Car_dealer"])+(((np.maximum(((data["CHANNEL_TYPE_Car_dealer"])) ,(( np.tanh(( -2.0)))))) +(data["NAME_GOODS_CATEGORY_Fitness"])))))+(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NONLIVINGAPARTMENTS_MODE"], data["CHANNEL_TYPE_Car_dealer"])))))))+
0.099297*np.tanh(np.where(np.where(((-2.0)+(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])) >0, data["WEEKDAY_APPR_PROCESS_START_MONDAY"], data["NONLIVINGAPARTMENTS_MODE"])>0, data["NAME_GOODS_CATEGORY_Computers"], np.minimum(((((data["NONLIVINGAPARTMENTS_MODE"])/ 2.0))),(((( data["NAME_GOODS_CATEGORY_Computers"])*(data["NAME_GOODS_CATEGORY_Gardening"])))))))+
0.066862*np.tanh(((( -1.0*(( np.where(data["NAME_YIELD_GROUP_high"]>0, data["NONLIVINGAPARTMENTS_MODE"],(-1.0*(( np.where(( 12.60592746734619141)>0, data["NONLIVINGAPARTMENTS_MODE"],(( data["NONLIVINGAPARTMENTS_MODE"])* 2.0)))))))))) * 2.0)) +
0.099687*np.tanh(( -1.0*(((( np.tanh(((((((data["FLAG_DOCUMENT_17"])<(data["WEEKDAY_APPR_PROCESS_START_MONDAY"])) *1.))-(data["NAME_GOODS_CATEGORY_Weapon"])))))*(np.where(data["WEEKDAY_APPR_PROCESS_START_MONDAY"]>0,(( data["AMT_REQ_CREDIT_BUREAU_WEEK"])+(data["AMT_REQ_CREDIT_BUREAU_WEEK"])) , data["FLAG_DOCUMENT_17"])))))))+
0.099531*np.tanh(np.where(((((10.0)) <(data["NONLIVINGAPARTMENTS_MODE"])) *1.) >0, 3.0, np.where(data["NONLIVINGAPARTMENTS_MODE"]>0,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0), data["AMT_REQ_CREDIT_BUREAU_DAY"])))+
0.078077*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["avg_buro_buro_count"], np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((( data["NAME_YIELD_GROUP_high"])*(np.tanh(((( data["avg_buro_buro_count"])* 2.0)))))))))) +
0.082884*np.tanh(((((-1.0*(((( -1.0)-(data["avg_buro_buro_count"])))))) <(np.minimum(((data["te_HOUR_APPR_PROCESS_START_x"])) ,(((( data["DAYS_ENDDATE_FACT"])* 2.0)))))) *1.))+
0.099766*np.tanh(np.minimum(((((( 3.0)<(data["AMT_CREDIT_x"])) *1.))) ,(((((((( 3.0)<(data["AMT_CREDIT_x"])) *1.))+(np.maximum(((data["AMT_CREDIT_x"])) ,(( data["cnt_HOUR_APPR_PROCESS_START_x"])))))/2.0)))))+
0.081125*np.tanh(( -1.0*(((((((np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["NAME_GOODS_CATEGORY_Insurance"], data["NAME_GOODS_CATEGORY_Direct_Sales"])) >(((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(data["AMT_GOODS_PRICE_x"])))* 2.0)))*1.))/ 2.0)))))+
0.099492*np.tanh(((((( data["FLAG_CONT_MOBILE"])+(np.tanh(( np.tanh(( np.tanh(( np.tanh(( data["CODE_GENDER"])))))))))) /2.0)) *(data["AMT_CREDIT_x"])))+
0.094373*np.tanh(((((((((((((np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(( 0.0)))) * 2.0)) <(0.0)) *1.))<(( -1.0*(( data["AMT_GOODS_PRICE_x"])))))*1.))/ 2.0)) / 2.0)) +
0.099883*np.tanh(((data["NAME_YIELD_GROUP_high"])*(((( data["cc_bal_SK_DPD_DEF"])<(((((-1.0)+(data["inst_NUM_INSTALMENT_VERSION"])))+(((((0.0)) <(((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))*1.))))) *1.))))+
0.099609*np.tanh(((( np.tanh(((((((data["cc_bal_SK_DPD_DEF"])-(data["AMT_DOWN_PAYMENT"])))<(np.where(((( 5.78417444229125977)) +(( -1.0*(( data["cc_bal_SK_DPD_DEF"])))))>0, data["NAME_GOODS_CATEGORY_Insurance"], data["NAME_GOODS_CATEGORY_Insurance"])))*1.))))<(data["AMT_DOWN_PAYMENT"])) *1.))+
0.098476*np.tanh(((( np.tanh(((( data["AMT_CREDIT_x"])/ 2.0)))) +(np.tanh(((( data["RATE_DOWN_PAYMENT"])*(((( -1.0*(((((data["CNT_INSTALMENT_FUTURE"])<(((data["AMT_CREDIT_x"])* 2.0)))*1.))))) / 2.0)))))))/2.0)) +
0.099961*np.tanh(np.minimum(((((((((((data["AMT_ANNUITY_x"])>(data["AMT_GOODS_PRICE_x"])) *1.))/ 2.0)) +(np.minimum(((data["NAME_PORTFOLIO_Cards"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))))/2.0))),(((6.0)))))+
0.099922*np.tanh(((((((( np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(((((8.0)) +(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])))))) +(( -1.0*(( 3.0)))))/2.0)) *(((((-1.0*(( data["AMT_GOODS_PRICE_x"])))) <(( 0.21274571120738983)))*1.))))/ 2.0)) +
0.100000*np.tanh(((((((np.maximum(((((((((((( data["SK_DPD"])+(data["SK_DPD"])) /2.0)) <(data["cc_bal_SK_ID_PREV"])) *1.))+(((( data["CNT_INSTALMENT_FUTURE"])+(data["SK_DPD"])) /2.0)))/2.0))),(( data["NAME_GOODS_CATEGORY_Insurance"])))) / 2.0)) * 2.0)) / 2.0)) +
0.072216*np.tanh(((((-1.0)/ 2.0)) *(np.where(data["CODE_REJECT_REASON_HC"]>0, data["NFLAG_INSURED_ON_APPROVAL"], np.minimum(((np.minimum(((data["MONTHS_BALANCE"])) ,(( 2.0))))),(( 0.0)))))))+
0.099531*np.tanh(((((((2.39028859138488770)) >(np.maximum(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) ,(((-1.0*(((( data["AMT_CREDIT_x"])* 2.0)))))))))*1.))+(-1.0)))+
0.097890*np.tanh(np.where(np.tanh(( data["NAME_YIELD_GROUP_high"])) >0, np.maximum(((((( np.tanh(((((data["CHANNEL_TYPE_Car_dealer"])+(data["DAYS_DECISION"])) /2.0)))) +(data["CHANNEL_TYPE_Car_dealer"])) /2.0))),(( data["SK_ID_PREV_x"]))),(-1.0*(( data["CHANNEL_TYPE_Car_dealer"])))))+
0.099726*np.tanh(np.where(data["SK_ID_PREV_y"]>0,(( np.minimum(((np.minimum(((data["NAME_YIELD_GROUP_high"])) ,(((( data["NAME_YIELD_GROUP_high"])+(3.0))))))),(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *(data["NAME_CONTRACT_STATUS_Refused"])) , data["NAME_GOODS_CATEGORY_Direct_Sales"])) +
0.079562*np.tanh(np.minimum(((1.0)) ,(((-1.0*(( np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( data["DAYS_BIRTH"])*(np.tanh(( data["AMT_REQ_CREDIT_BUREAU_YEAR"])))))))))))))) +
0.099726*np.tanh(((((( np.minimum(((data["CNT_INSTALMENT"])) ,(((((( -1.0)* 2.0)) *(((data["CNT_INSTALMENT"])/ 2.0)))))))>(data["SK_ID_PREV_y"])) *1.))/ 2.0)) +
0.100000*np.tanh(( -1.0*(((((data["DAYS_BIRTH"])>(((3.0)-(((((( data["DAYS_BIRTH"])+(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(-3.0)))) /2.0)) * 2.0)))))*1.))))) +
0.099805*np.tanh(((((((((((data["cnt_DAYS_BIRTH"])/ 2.0)) +(( 3.49354934692382812)))/2.0)) <(data["DAYS_ID_PUBLISH"])) *1.))*(data["DAYS_ID_PUBLISH"])))+
0.099531*np.tanh(((( np.maximum(((((data["NAME_INCOME_TYPE"])+(-2.0)))) ,(((((data["cnt_DAYS_BIRTH"])>(((( data["NAME_INCOME_TYPE"])<(0.0)) *1.))) *1.))))) <(data["NAME_GOODS_CATEGORY_House_Construction"])) *1.))+
0.099961*np.tanh(((np.minimum(((( 7.0))),(((( np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( np.tanh(((( np.tanh(((( data["cnt_FLAG_EMP_PHONE"])+(data["DAYS_EMPLOYED"])))))*(( 9.89645957946777344)))))))))* 2.0)))))* 2.0)) +
0.090543*np.tanh(((np.tanh(((((data["SK_ID_BUREAU"])<(-1.0)) *1.))))*(((( data["NAME_YIELD_GROUP_high"])>(((data["SK_ID_BUREAU"])-(np.maximum(((data["te_FLAG_DOCUMENT_20"])) ,(((( -3.0)* 2.0)))))))) *1.))))+
0.100000*np.tanh(((np.minimum(((((data["NAME_CLIENT_TYPE_New"])*(((data["DAYS_LAST_PHONE_CHANGE"])*(data["SK_ID_BUREAU"])))))) ,(((((((( 3.0)<(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.))>(data["DAYS_LAST_PHONE_CHANGE"])) *1.))))) / 2.0)) +
0.099140*np.tanh(( -1.0*(((( np.maximum(((((( -2.0)>(data["DAYS_BIRTH"])) *1.))) ,(((( np.where(((3.0)-(data["te_LIVE_REGION_NOT_WORK_REGION"])) >0, -3.0, data["DAYS_BIRTH"])) * 2.0)))))* 2.0)))))+
0.099297*np.tanh(( -1.0*(( np.where(np.minimum(((1.0)) ,(((( data["SK_ID_BUREAU"])+(-2.0)))))>0, -1.0,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])* 2.0)))))) +
0.098320*np.tanh(np.minimum(((( -1.0*(( np.where(data["te_FLAG_DOCUMENT_20"]>0, data["NAME_GOODS_CATEGORY_Weapon"], data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) ,(((((((( data["NAME_GOODS_CATEGORY_Weapon"])+(((data["NAME_CONTRACT_STATUS_Approved"])*(data["NFLAG_LAST_APPL_IN_DAY"])))))* 2.0)) / 2.0)))))+
0.068894*np.tanh(((((data["te_FLAG_DOCUMENT_20"])*(np.where(data["te_FLAG_DOCUMENT_20"]>0, data["te_FLAG_DOCUMENT_20"],(6.34485292434692383)))))*(np.where(np.tanh(((4.0)))>0, data["NAME_GOODS_CATEGORY_Direct_Sales"], data["NAME_GOODS_CATEGORY_Insurance"])))) +
0.099922*np.tanh(((data["SK_ID_PREV_x"])*(((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])-(( -1.0*(((((((data["SK_ID_PREV_x"])* 2.0)) >(( 14.96901893615722656)))*1.))))))) -(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))+
0.089293*np.tanh(((data["cnt_FLAG_DOCUMENT_10"])+(((((np.where(data["cnt_FLAG_DOCUMENT_17"]>0, data["NAME_YIELD_GROUP_high"], data["NAME_GOODS_CATEGORY_Insurance"])) *(data["FLAG_DOCUMENT_17"])))*(( 8.24418640136718750)))))) +
0.099609*np.tanh(np.where(((-1.0)+(data["CNT_INSTALMENT"])) >0, data["REG_REGION_NOT_WORK_REGION"],(-1.0*(( data["NAME_GOODS_CATEGORY_Medical_Supplies"])))))+
0.072255*np.tanh(np.where(((data["AMT_ANNUITY_x"])*(data["FLAG_DOCUMENT_15"])) >0, np.minimum(((( 0.83881276845932007))),(((( -1.0)-(data["AMT_ANNUITY_x"]))))),(( data["FLAG_DOCUMENT_15"])*(data["AMT_ANNUITY_x"])))) +
0.095819*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["te_FLAG_DOCUMENT_3"],(((-1.0*(((( 0.0)-(((( data["AMT_GOODS_PRICE_x"])<(((data["AMT_ANNUITY_x"])-(((((9.0)) <(3.0)) *1.))))) *1.))))))) / 2.0)))+
0.100000*np.tanh(((((-2.0)/ 2.0)) +(((( data["AMT_CREDIT_x"])>(((np.where(((3.0)*(data["AMT_ANNUITY_x"])) >0, data["NAME_GOODS_CATEGORY_Direct_Sales"], data["AMT_ANNUITY_x"])) * 2.0)))*1.))))+
0.100000*np.tanh(( -1.0*(((((((((( 2.0)+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) -(np.minimum(((-2.0)) ,(((12.27902317047119141)))))))<(((data["AMT_GOODS_PRICE_x"])+(data["AMT_ANNUITY_x"])))) *1.))))) +
0.099922*np.tanh(((((( -3.0)>(((np.where(((((((( data["AMT_CREDIT_x"])/ 2.0)) +(data["CNT_PAYMENT"])) /2.0)) / 2.0)>0, data["DAYS_BIRTH"],(( data["CNT_PAYMENT"])/ 2.0)))* 2.0)))*1.))* 2.0)) +
0.097265*np.tanh(np.minimum(((((((data["AMT_CREDIT_x"])/ 2.0)) / 2.0))),(((((((-1.0)* 2.0)) >(((data["AMT_CREDIT_x"])-(( 3.90542602539062500)))))*1.))))) +
0.084017*np.tanh(((((np.tanh(((-1.0*(( np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(((( data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0)))))))))) / 2.0)) +(((( data["CHANNEL_TYPE_AP___Cash_loan_"])>(((( 4.0)) +(np.tanh(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) *1.))))+
0.076671*np.tanh(((( -1.0*(((((((np.minimum(((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0))),(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *(( 6.0)))) >(data["HOUR_APPR_PROCESS_START_x"])) *1.))))) / 2.0)) +
0.092497*np.tanh(((( np.where(data["FLAG_DOCUMENT_2"]>0,(((-1.0)<(-2.0)) *1.) ,(((( -1.0*(( data["cnt_FLAG_DOCUMENT_2"])))) +(3.0)) /2.0)))<(((( data["REGION_RATING_CLIENT_W_CITY"])+(data["te_HOUR_APPR_PROCESS_START_x"])) /2.0)))*1.))+
0.099453*np.tanh(((3.0)*(np.tanh(( np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( np.minimum(((((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])>(((( data["cnt_REGION_RATING_CLIENT"])<(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])) *1.))) *1.))>(data["cnt_FLAG_DOCUMENT_2"])) *1.))) ,(( data["cnt_HOUR_APPR_PROCESS_START_x"])))))))))))+
0.099883*np.tanh(((data["te_FLAG_DOCUMENT_18"])*(((data["cnt_REGION_RATING_CLIENT_W_CITY"])+(data["AMT_CREDIT_x"])))))+
0.099922*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(-1.0*(((((((( -1.0*(( -1.0)))) *(((((((3.0)) +(( -1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))/2.0)) / 2.0)))) +(data["cnt_FLAG_DOCUMENT_18"])) /2.0)))) , data["cnt_FLAG_DOCUMENT_18"])) +
0.099883*np.tanh(((data["cnt_FLAG_DOCUMENT_18"])-(np.tanh(((((0.0)>(np.maximum(((((((((data["REGION_POPULATION_RELATIVE"])+(data["te_FLAG_DOCUMENT_18"])))+(data["te_FLAG_DOCUMENT_18"])))-(data["cc_bal_SK_DPD_DEF"])))) ,(( data["cc_bal_SK_DPD_DEF"])))))*1.))))))+
0.087182*np.tanh(((data["inst_NUM_INSTALMENT_VERSION"])*(((data["SK_ID_PREV_x"])*(( -1.0*(((((((((((((data["NAME_CLIENT_TYPE_Repeater"])<(((-1.0)/ 2.0)))*1.))* 2.0)) >(data["AMT_GOODS_PRICE_x"])) *1.))>(data["NAME_PORTFOLIO_Cards"])) *1.))))))))) +
0.099922*np.tanh(((( -1.0)+(((((( data["AMT_GOODS_PRICE_x"])*(data["NAME_CLIENT_TYPE_New"])))<(((( 2.0)+(((data["SK_ID_PREV_x"])/ 2.0)))/2.0)))*1.))) /2.0)) +
0.099101*np.tanh(np.where(data["HOUR_APPR_PROCESS_START_y"]>0,(-1.0*(( np.minimum(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) ,(((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])* 2.0))))))), data["NAME_GOODS_CATEGORY_Insurance"])) +
0.099609*np.tanh(((((data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])*(data["cc_bal_CNT_DRAWINGS_CURRENT"])))*(( -1.0*(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(( data["cc_bal_CNT_DRAWINGS_CURRENT"])*(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, -2.0, data["inst_NUM_INSTALMENT_VERSION"]))), data["inst_NUM_INSTALMENT_VERSION"])))))))+
0.099766*np.tanh(((data["AMT_ANNUITY_x"])*(((( np.minimum(((((((( 1.0)/ 2.0)) <(((data["CNT_INSTALMENT_FUTURE"])/ 2.0)))*1.))) ,(( data["AMT_ANNUITY_x"])))) >(data["avg_buro_buro_bal_status_C"])) *1.))))+
0.099961*np.tanh(( -1.0*(((((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])+(((( data["AMT_GOODS_PRICE_x"])>(((((((np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))) >(( 2.34558510780334473)))*1.))+(data["AMT_ANNUITY_x"])) /2.0)))*1.))) /2.0)))))+
0.085619*np.tanh(np.tanh(((((( np.tanh(((((((data["avg_buro_buro_bal_status_C"])+(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])+(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])) /2.0)))) >(np.tanh(( 3.0)))) *1.))))-(data["AMT_ANNUITY_x"])))+(data["AMT_CREDIT_x"])))))+
0.084447*np.tanh(np.minimum(((((((data["NAME_GOODS_CATEGORY_Insurance"])-(((( data["AMT_GOODS_PRICE_x"])>(1.0)) *1.))))/ 2.0))),(((-1.0*(((((( -1.0*(( -2.0)))) <(data["AMT_GOODS_PRICE_x"])) *1.))))))))+
0.099609*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, np.where(data["AMT_CREDIT_x"]>0,(2.79278469085693359), data["te_CODE_GENDER"]),(((-2.0)>(((data["te_FLAG_DOCUMENT_8"])/ 2.0)))*1.))) +
0.099883*np.tanh(((((((((((( 3.0)+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)) >(data["AMT_CREDIT_x"])) *1.))<(((-3.0)*(data["cc_bal_SK_DPD_DEF"])))) *1.))-(data["CODE_REJECT_REASON_SYSTEM"])))+
0.099687*np.tanh(np.where(data["cc_bal_SK_DPD_DEF"]>0, data["HOUR_APPR_PROCESS_START_y"],(((-1.0*(((((((np.maximum(((data["HOUR_APPR_PROCESS_START_y"])) ,(( data["CNT_INSTALMENT"])))) +(data["NAME_GOODS_CATEGORY_Weapon"])) /2.0)) / 2.0)))))/ 2.0)))+
0.098750*np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])*(data["FLAG_DOCUMENT_17"])))+(np.maximum(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])) ,(((-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])))))))) ,(((((((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])/ 2.0)) >(( 6.61112833023071289)))*1.))))))) +
0.099687*np.tanh(np.minimum(((((( np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(( data["cnt_FLAG_DOCUMENT_13"])))) >(3.0)) *1.))) ,(((( data["AMT_CREDIT_x"])-(((((((( data["cnt_FLAG_DOCUMENT_13"])* 2.0)) >(data["CNT_INSTALMENT_FUTURE"])) *1.))+(-2.0)))))))) +
0.099844*np.tanh(( -1.0*(( np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["EXT_SOURCE_3"],(((np.minimum(((data["NAME_GOODS_CATEGORY_Fitness"])) ,(( np.tanh(((-1.0*(( data["EXT_SOURCE_3"])))))))))+(((data["cnt_FLAG_DOCUMENT_10"])/ 2.0)))/2.0)))))) +
0.078429*np.tanh(np.minimum(((((2.0)-(data["CNT_INSTALMENT"])))) ,(( np.tanh(( np.where(data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"]>0, data["NAME_CASH_LOAN_PURPOSE_Furniture"], np.where(data["cc_bal_SK_DPD_DEF"]>0, -3.0,(( data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])*(( 7.0)))))))))))+
0.098554*np.tanh(np.where(data["avg_buro_buro_count"]>0, np.where(data["cc_bal_SK_DPD_DEF"]>0, data["avg_buro_buro_count"], data["cnt_FLAG_DOCUMENT_13"]), np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["cnt_FLAG_DOCUMENT_13"])))))+
0.093669*np.tanh(np.where(data["NAME_GOODS_CATEGORY_House_Construction"]>0, data["avg_buro_buro_count"],(((((-2.0)/ 2.0)) +(((( data["NAME_GOODS_CATEGORY_House_Construction"])<(((((data["avg_buro_buro_count"])-(data["NAME_GOODS_CATEGORY_Fitness"])))*(data["NAME_GOODS_CATEGORY_Fitness"])))) *1.))) /2.0)))+
0.098554*np.tanh(((((((((((data["cnt_FLAG_DOCUMENT_14"])/ 2.0)) +(( -1.0*(( data["nans"])))))/2.0)) / 2.0)) +(((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])*(data["nans"])))) /2.0)) +
0.079601*np.tanh(np.tanh(((((((((((data["CNT_INSTALMENT_FUTURE"])*(data["CNT_INSTALMENT_FUTURE"])))/ 2.0)) >(((( data["REG_REGION_NOT_WORK_REGION"])<(data["cc_bal_SK_DPD_DEF"])) *1.))) *1.))/ 2.0)))) +
0.100000*np.tanh(((data["AMT_CREDIT_MAX_OVERDUE"])*(((( 12.82818222045898438)) +(((((( 12.73882579803466797)) +(((( 12.73882579803466797)) *(( 13.13270282745361328)))))) *(((data["cc_bal_SK_DPD_DEF"])* 2.0)))))))) +
0.099179*np.tanh(((data["FLAG_LAST_APPL_PER_CONTRACT_N"])*(((((( data["te_REG_REGION_NOT_LIVE_REGION"])+(data["FONDKAPREMONT_MODE"])) /2.0)) +(((( data["FONDKAPREMONT_MODE"])>(((( -1.0*(( -3.0)))) / 2.0)))*1.))))))+
0.073896*np.tanh(( -1.0*(( np.tanh(((( data["inst_AMT_PAYMENT"])*(((data["inst_AMT_PAYMENT"])*(np.maximum(((-1.0)) ,(( data["CNT_INSTALMENT"])))))))))))))+
0.096444*np.tanh(((np.where(((np.tanh(( data["AMT_CREDIT_y"])))+(((((1.0)) +(((data["cnt_FLAG_DOCUMENT_10"])* 2.0)))/2.0)))>0,(((data["CNT_INSTALMENT_FUTURE"])+(-1.0)) /2.0), data["NAME_GOODS_CATEGORY_Insurance"])) *(data["AMT_CREDIT_y"])))+
0.099531*np.tanh(((( data["cnt_FLAG_DOCUMENT_10"])+(np.minimum(((np.maximum(((data["AMT_CREDIT_y"])) ,(( data["CNT_PAYMENT"]))))),(((((data["cnt_FLAG_DOCUMENT_10"])>(((((2.70514798164367676)) >(data["AMT_CREDIT_y"])) *1.))) *1.))))))/2.0)) +
0.099805*np.tanh(((((((( np.tanh(( data["cnt_FLAG_DOCUMENT_3"])))+(np.minimum(((((( data["FLAG_DOCUMENT_3"])<(((( data["cc_bal_SK_DPD_DEF"])+(data["cnt_FLAG_DOCUMENT_3"])) /2.0)))*1.))) ,(((-1.0*(( data["CNT_INSTALMENT"])))))))) /2.0)) / 2.0)) / 2.0)) +
0.072450*np.tanh(np.maximum(((data["cnt_FLAG_DOCUMENT_5"])) ,(((( data["cc_bal_SK_DPD_DEF"])+(((((((( data["cnt_FLAG_DOCUMENT_5"])/ 2.0)) / 2.0)) <(data["cc_bal_SK_DPD_DEF"])) *1.))))))) +
0.098984*np.tanh(((((( data["cc_bal_cc_bal_status__Refused"])* 2.0)) +(((((data["NAME_SELLER_INDUSTRY_Construction"])*(( 4.0)))) *(( -1.0*(((((((data["NAME_SELLER_INDUSTRY_Construction"])/ 2.0)) >(((( 7.86149215698242188)) / 2.0)))*1.))))))))/2.0)) +
0.099453*np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])*(((((data["cc_bal_SK_DPD_DEF"])*(data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])))-(( -1.0*(( data["NAME_GOODS_CATEGORY_Fitness"])))))))) +
0.099336*np.tanh(((((((data["FLAG_DOCUMENT_17"])* 2.0)) *(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))-(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])-(data["NAME_GOODS_CATEGORY_Weapon"])))))))+
0.100000*np.tanh(np.tanh(( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["avg_buro_buro_bal_status_2"],(-1.0*(((((((data["avg_buro_buro_bal_status_2"])+(data["cc_bal_SK_DPD_DEF"])))>(data["cnt_FLAG_DOCUMENT_10"])) *1.))))))))+
0.099258*np.tanh(((((((10.22499179840087891)) <(data["NONLIVINGAPARTMENTS_MODE"])) *1.))-(((( data["CHANNEL_TYPE_Car_dealer"])+(((data["YEARS_BEGINEXPLUATATION_MODE"])* 2.0)))/2.0)))) +
0.100000*np.tanh(np.where(data["te_WALLSMATERIAL_MODE"]>0, data["YEARS_BUILD_AVG"], np.where(data["cnt_EMERGENCYSTATE_MODE"]>0,(( 0.0)-(data["NAME_GOODS_CATEGORY_Direct_Sales"])) , data["YEARS_BUILD_MEDI"])))+
0.098046*np.tanh(( -1.0*(( np.where(data["cc_bal_SK_DPD_DEF"]>0, data["NAME_GOODS_CATEGORY_Computers"],(((np.maximum(((-2.0)) ,(((1.0)))))<(( -1.0*(((((-1.0*(( data["NAME_GOODS_CATEGORY_Computers"])))) +(2.0)))))))*1.))))))+
0.099961*np.tanh(((np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["avg_buro_buro_bal_status_5"],(((( data["DAYS_LAST_DUE_1ST_VERSION"])*(data["cc_bal_SK_DPD_DEF"])))*(data["DAYS_LAST_DUE_1ST_VERSION"])))) * 2.0)) +
0.062407*np.tanh(((( np.minimum(((((np.tanh(( np.minimum(((data["NFLAG_INSURED_ON_APPROVAL"])) ,(((12.13233852386474609)))))))+(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) ,(( data["avg_buro_buro_bal_status_5"])))) >(np.where(data["avg_buro_buro_bal_status_5"]>0, data["cnt_FLAG_DOCUMENT_10"], data["cc_bal_SK_DPD_DEF"])))*1.))+
0.099805*np.tanh(((data["NFLAG_INSURED_ON_APPROVAL"])*(((((((( -1.0*(( data["inst_SK_ID_PREV"])))) *(data["SK_ID_PREV_y"])))/ 2.0)) / 2.0)))) +
0.099336*np.tanh(np.minimum(((((((((( data["cc_bal_SK_DPD_DEF"])+(data["SK_ID_PREV_x"])))-(((((np.tanh(( data["te_FLAG_EMAIL"])))*(2.0)))/ 2.0)))) >(2.0)) *1.))) ,(((0.31483063101768494)))))+
0.099297*np.tanh(( -1.0*(( np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((((( 6.30967998504638672)) +(((( 7.0)) -(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((( data["FLAG_DOCUMENT_10"])>(( -1.0*(( 0.0)))))*1.))) /2.0)))))/2.0)))))))) +
0.099805*np.tanh(np.minimum(((((((((-1.0*(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) / 2.0)) <(0.0)) *1.))) ,(((((((((((0.0)>(data["cc_bal_SK_DPD_DEF"])) *1.))*(data["cnt_EMERGENCYSTATE_MODE"])))/ 2.0)) * 2.0)))))+
0.091403*np.tanh(((((((((data["NAME_GOODS_CATEGORY_Insurance"])<(data["NAME_PORTFOLIO_Cards"])) *1.))/ 2.0)) +(((((( 8.0)) / 2.0)) *(((( 3.0)<(data["NAME_PORTFOLIO_Cards"])) *1.))))) /2.0)) +
0.099922*np.tanh(np.where(data["FLAG_LAST_APPL_PER_CONTRACT_N"]>0, np.where(((( data["DAYS_LAST_DUE_1ST_VERSION"])<(((np.tanh(( np.tanh(( data["FLAG_LAST_APPL_PER_CONTRACT_N"])))))/ 2.0)))*1.) >0, data["DAYS_LAST_DUE_1ST_VERSION"], -3.0),(-1.0*(( data["NAME_GOODS_CATEGORY_Education"])))))+
0.097069*np.tanh(np.minimum(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((((((data["ty__Another_type_of_loan"])+(data["DAYS_LAST_DUE_1ST_VERSION"])))-(data["cc_bal_cc_bal_status__Refused"])))+(data["DAYS_LAST_DUE_1ST_VERSION"])))))* 2.0))),(((((10.71418285369873047)) -(data["ty__Another_type_of_loan"])))))) +
0.077882*np.tanh(((((((( -1.0)* 2.0)) *(data["NAME_GOODS_CATEGORY_Direct_Sales"])))>(np.maximum(((data["DAYS_FIRST_DRAWING"])) ,(((( data["CNT_INSTALMENT_FUTURE"])*(np.minimum(((3.0)) ,(( data["inst_AMT_PAYMENT"])))))))))) *1.))+
0.099961*np.tanh(np.minimum(((((( -2.0)>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))) ,(((((((((data["NAME_INCOME_TYPE"])+(((-1.0)+(data["DAYS_BIRTH"])))))+(2.0)))+(data["AMT_CREDIT_x"])) /2.0)))))+
0.092106*np.tanh(((data["DAYS_BIRTH"])*(np.minimum(((np.minimum(((data["FLAG_DOCUMENT_10"])) ,(((-1.0*(( np.maximum(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) ,(( np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(( data["DAYS_BIRTH"])))))))))))))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) +
0.099687*np.tanh(((((( data["AMT_CREDIT_x"])-(((( -3.0)+(((data["cnt_REG_CITY_NOT_LIVE_CITY"])* 2.0)))/2.0)))) >(( 4.65822219848632812)))*1.))+
0.064361*np.tanh(((np.where(data["te_REG_CITY_NOT_WORK_CITY"]>0, data["FLAG_DOCUMENT_10"],(((data["te_FLAG_WORK_PHONE"])>(((-3.0)*(((( data["cnt_FLAG_DOCUMENT_10"])+(data["OCCUPATION_TYPE"])) /2.0)))))*1.))) / 2.0)) +
0.099531*np.tanh(np.tanh(((-1.0*(( np.tanh(((((((np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["AMT_REQ_CREDIT_BUREAU_MON"], 2.0)) <(data["cnt_DAYS_BIRTH"])) *1.))*(((((data["cnt_DAYS_BIRTH"])* 2.0)) / 2.0)))))))))))+
0.094177*np.tanh(np.where(((((1.0)-(data["AMT_CREDIT_SUM_DEBT"])))+(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])) >0,(((((( data["AMT_CREDIT_SUM_DEBT"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))* 2.0),(( data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))+
0.099961*np.tanh(((( np.minimum(((((((data["ca__Closed"])+(data["ca__Active"])))/ 2.0))),(((((( data["ca__Active"])/ 2.0)) +(data["AMT_CREDIT_SUM"])))))) <(-1.0)) *1.))+
0.099844*np.tanh(((( data["AMT_CREDIT_SUM"])<(((((( data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)) +(np.tanh(((( np.where(np.tanh(( 2.0)) >0, data["NAME_GOODS_CATEGORY_Insurance"], data["cnt_FLAG_DOCUMENT_10"])) -(np.tanh(( 3.0)))))))) /2.0)))*1.))+
0.099805*np.tanh(np.where(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["SK_ID_BUREAU"], data["AMT_CREDIT_SUM"])>0,(( data["SK_ID_BUREAU"])+(((( data["AMT_CREDIT_SUM"])<(data["SK_ID_BUREAU"])) *1.))) , data["cnt_FLAG_DOCUMENT_10"])) +
0.099375*np.tanh(np.minimum(((np.minimum(((data["CODE_REJECT_REASON_VERIF"])) ,(((((11.77319049835205078)) -(data["CODE_REJECT_REASON_VERIF"]))))))),(((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])*(((data["inst_NUM_INSTALMENT_NUMBER"])* 2.0)))))))+
0.099766*np.tanh(((data["OWN_CAR_AGE"])*(np.maximum(((data["inst_AMT_PAYMENT"])) ,(((( np.where(( -1.0*(( data["inst_AMT_PAYMENT"])))>0, -3.0,(((5.90897226333618164)) * 2.0)))*(np.tanh(((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])/ 2.0)))))))))))+
0.099766*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["AMT_REQ_CREDIT_BUREAU_MON"],(( data["inst_AMT_PAYMENT"])*(((( np.tanh(( data["AMT_REQ_CREDIT_BUREAU_MON"])))+(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["inst_AMT_PAYMENT"])))/ 2.0)))/2.0)))))+
0.099961*np.tanh(((2.0)*(((np.where(( -1.0*(( data["cc_bal_SK_DPD_DEF"])))>0, data["FLAG_DOCUMENT_10"], data["inst_NUM_INSTALMENT_NUMBER"])) *(np.maximum(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) ,(( np.where(3.0>0, data["inst_NUM_INSTALMENT_NUMBER"],(1.0)))))))))) +
0.099922*np.tanh(((((((3.0)) <(data["inst_SK_ID_PREV"])) *1.))-(((np.maximum(((np.maximum(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) ,(( data["FLAG_DOCUMENT_10"]))))),(( np.tanh(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))) / 2.0)))) +
0.076710*np.tanh(((np.minimum(((data["cnt_FLAG_DOCUMENT_10"])) ,(((( 1.0)-(((((((( 0.0)-(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))+(data["cc_bal_cc_bal_status__Sent_proposal"])) /2.0)) *(( 8.0)))))))))-(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))+
0.097460*np.tanh(np.maximum(((np.where(((( 3.0)>(((data["NAME_YIELD_GROUP_XNA"])* 2.0)))*1.) >0,(((((data["NAME_YIELD_GROUP_XNA"])-(( -1.0*(( 0.0)))))) >(( 5.0)))*1.) , data["NAME_PORTFOLIO_Cards"]))),(( -1.0)))) +
0.100000*np.tanh(((np.where(((( data["NAME_CONTRACT_TYPE_Cash_loans"])<(data["CODE_REJECT_REASON_SCOFR"])) *1.) >0,(-1.0*(((( data["avg_buro_buro_bal_status_5"])/ 2.0)))) ,(( data["avg_buro_buro_bal_status_5"])* 2.0)))*(-2.0)))+
0.081712*np.tanh(((data["cc_bal_cc_bal_status__Refused"])*(((((((((( 1.0)<(data["PRODUCT_COMBINATION_Card_Street"])) *1.))*(( 6.0)))) *(( 6.0)))) -(np.tanh(((( data["cc_bal_cc_bal_status__Refused"])-(data["FLAG_DOCUMENT_17"])))))))))+
0.093357*np.tanh(((np.minimum(((data["DAYS_FIRST_DRAWING"])) ,(((((( data["AMT_REQ_CREDIT_BUREAU_MON"])*(np.where(data["NAME_CONTRACT_STATUS_Approved"]>0, data["DAYS_FIRST_DRAWING"],(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["AMT_REQ_CREDIT_BUREAU_MON"])))/ 2.0)))))* 2.0)))))*(data["AMT_REQ_CREDIT_BUREAU_MON"])))+
0.098046*np.tanh(((((((data["cnt_FLAG_DOCUMENT_10"])-(( -1.0*(( np.where(data["cc_bal_SK_DPD_DEF"]>0, -1.0, data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))+(np.where(data["cc_bal_SK_DPD_DEF"]>0, -1.0, data["cnt_FLAG_DOCUMENT_10"])))) -(data["FLAG_DOCUMENT_17"])))+
0.100000*np.tanh(((((((-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))) <(((data["cc_bal_SK_DPD_DEF"])/ 2.0)))*1.))*(((((((( data["cc_bal_SK_DPD_DEF"])+(((1.0)/ 2.0)))/2.0)) -(data["cc_bal_SK_ID_PREV"])))-(data["cc_bal_SK_ID_PREV"])))))+
0.099570*np.tanh(((( 11.08083438873291016)) *(((data["cc_bal_SK_DPD_DEF"])*(np.minimum(((np.where(data["cc_bal_MONTHS_BALANCE"]>0,(11.08083438873291016), np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])) ,(( -3.0)))))) ,(( np.tanh(( data["cc_bal_MONTHS_BALANCE"])))))))))) +
0.098476*np.tanh(((((data["cc_bal_SK_DPD"])*(((((((data["AMT_GOODS_PRICE_x"])*(( 3.0)))) * 2.0)) *(((((((((data["cc_bal_AMT_PAYMENT_CURRENT"])<(0.0)) *1.))>(data["cc_bal_AMT_PAYMENT_CURRENT"])) *1.))* 2.0)))))) / 2.0)) +
0.099140*np.tanh(((((((( np.minimum(((data["AMT_CREDIT_x"])) ,(( data["cc_bal_SK_DPD_DEF"])))) +(((((((((((data["cc_bal_SK_DPD_DEF"])/ 2.0)) +(data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) /2.0)) +(data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) /2.0)) -(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])))) /2.0)) / 2.0)) / 2.0)) +
0.096639*np.tanh(((((( data["cnt_FLAG_DOCUMENT_10"])+(((((((8.0)) <(((((( data["cc_bal_SK_DPD_DEF"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)) / 2.0)))*1.))*(((( 9.73687171936035156)) * 2.0)))))/2.0)) +(data["cc_bal_cc_bal_status__Refused"])))+
0.099062*np.tanh(((( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])>(np.where(data["PRODUCT_COMBINATION_POS_industry_without_interest"]>0, data["cc_bal_AMT_PAYMENT_CURRENT"],(((((3.0)-(data["cc_bal_AMT_PAYMENT_CURRENT"])))+(( 3.74398207664489746)))/2.0)))) *1.))+
0.099883*np.tanh(((( np.minimum(((((((( 10.36883640289306641)) -(((data["PRODUCT_COMBINATION_POS_industry_without_interest"])* 2.0)))) * 2.0))),(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) +(((np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["avg_buro_buro_bal_status_5"],(-1.0*(( data["avg_buro_buro_bal_status_5"])))))/ 2.0)))/2.0)) +
0.099062*np.tanh(((np.where(((data["avg_buro_buro_bal_status_3"])*(((data["cnt_FLAG_DOCUMENT_15"])-(data["NAME_GOODS_CATEGORY_Other"])))) >0, data["avg_buro_buro_bal_status_5"], np.minimum(((((data["cnt_FLAG_DOCUMENT_15"])/ 2.0))),(((( data["cnt_FLAG_DOCUMENT_15"])-(data["NAME_GOODS_CATEGORY_Other"])))))))* 2.0)) +
0.099726*np.tanh(((data["NAME_GOODS_CATEGORY_Other"])*(((np.tanh(( np.where(-3.0>0,(((14.68852424621582031)) / 2.0),(( data["NAME_GOODS_CATEGORY_Other"])-(((( 14.23720550537109375)) / 2.0)))))))/ 2.0)))) +
0.098984*np.tanh(np.where(((( 6.69561433792114258)) -(data["NAME_GOODS_CATEGORY_Other"])) >0,(((((( 7.0)) <(data["NAME_GOODS_CATEGORY_Other"])) *1.))-(( -1.0*(((-1.0*(( np.maximum(((data["NAME_SELLER_INDUSTRY_MLM_partners"])) ,(( data["NAME_GOODS_CATEGORY_Weapon"]))))))))))), data["NAME_GOODS_CATEGORY_Other"])) +
0.099492*np.tanh(np.minimum(((((((np.where(data["NAME_GOODS_CATEGORY_Auto_Accessories"]>0,(-1.0*(( 3.0))), np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])) ,(( data["NAME_GOODS_CATEGORY_Auto_Accessories"])))))/ 2.0)) *(data["DAYS_LAST_DUE_1ST_VERSION"])))) ,(( data["cnt_FLAG_DOCUMENT_4"])))) +
0.099062*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["cc_bal_CNT_DRAWINGS_POS_CURRENT"],(((((np.where(np.where(( 7.0)>0, data["DAYS_FIRST_DUE"], data["DAYS_FIRST_DUE"])>0, data["NAME_GOODS_CATEGORY_Insurance"], -1.0)) >(((data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])* 2.0)))*1.))* 2.0)))+
0.099883*np.tanh(((( 7.0)) *(np.tanh(((( np.where(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"]>0,(( data["AMT_CREDIT_MAX_OVERDUE"])/ 2.0),(-1.0*(((( np.maximum(((data["AMT_CREDIT_MAX_OVERDUE"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])))) * 2.0)))))) * 2.0)))))) +
0.099609*np.tanh(((data["AMT_GOODS_PRICE_x"])*(np.minimum(((data["NAME_GOODS_CATEGORY_Fitness"])) ,(( np.minimum(((data["FLAG_DOCUMENT_10"])) ,(((((((5.34786462783813477)) -(data["NAME_GOODS_CATEGORY_Fitness"])))/ 2.0)))))))))) +
0.098828*np.tanh(np.where(np.maximum(((((data["DAYS_ENDDATE_FACT"])*(((((data["DAYS_ENDDATE_FACT"])*(( 4.0)))) / 2.0))))),(((( data["AMT_CREDIT_x"])+(-3.0)))))>0, data["FLAG_DOCUMENT_10"],(( data["cc_bal_CNT_DRAWINGS_CURRENT"])* 2.0)))+
0.088238*np.tanh(((( data["AMT_CREDIT_x"])>(((3.0)-(((data["DAYS_FIRST_DUE"])-(np.maximum(((( -1.0*(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"]))))),(( np.minimum(((-3.0)) ,(((-1.0*(( data["cnt_FLAG_DOCUMENT_10"])))))))))))))))*1.))+
0.099844*np.tanh(((((((3.0)+(((( 1.0)<(((data["NAME_EDUCATION_TYPE"])/ 2.0)))*1.))) /2.0)) <(( -1.0*(( np.minimum(((data["cc_bal_AMT_DRAWINGS_CURRENT"])) ,(((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])* 2.0)))))))))*1.))+
0.099922*np.tanh(np.minimum(((((((np.tanh(( np.minimum(((data["NAME_PAYMENT_TYPE_Cash_through_the_bank"])) ,(( 0.0)))))) / 2.0)) / 2.0))),(( np.where(data["NAME_CONTRACT_TYPE_Revolving_loans"]>0, data["NAME_PAYMENT_TYPE_XNA"], 0.0)))))+
0.081985*np.tanh(np.tanh(( np.minimum(((((data["PRODUCT_COMBINATION_Cash"])*(((data["SK_ID_PREV_x"])-(data["AMT_GOODS_PRICE_x"])))))) ,(((((((( 1.0)>(( -1.0*(( data["PRODUCT_COMBINATION_Cash"])))))*1.))+(data["SK_ID_PREV_x"])) /2.0)))))))+
0.099492*np.tanh(( -1.0*(((((((((3.0)-(data["AMT_GOODS_PRICE_x"])))/ 2.0)) >(((3.0)-(np.maximum(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) ,(( data["AMT_GOODS_PRICE_x"])))))))*1.))))) +
0.099687*np.tanh(np.where(data["cc_bal_AMT_PAYMENT_CURRENT"]>0, data["DAYS_ENDDATE_FACT"],(((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])*(((((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])<(data["DAYS_ENDDATE_FACT"])) *1.))/ 2.0)))) *(( -1.0*(( data["cc_bal_AMT_PAYMENT_CURRENT"])))))))+
0.068152*np.tanh(((((2.0)* 2.0)) *(np.where(((data["NAME_TYPE_SUITE_Unaccompanied"])/ 2.0)>0, data["NAME_CASH_LOAN_PURPOSE_Furniture"],(( data["cnt_FLAG_DOCUMENT_10"])* 2.0)))))+
0.067565*np.tanh(((np.tanh(((((( data["NAME_CONTRACT_STATUS_Approved"])*(((( data["DAYS_LAST_DUE_1ST_VERSION"])>(((( -1.0*(( 1.0)))) / 2.0)))*1.))))/ 2.0)))) -(((data["NAME_CONTRACT_STATUS_Approved"])*(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))+
0.095741*np.tanh(np.where(data["SK_ID_PREV_x"]>0,(((((( data["cc_bal_AMT_RECIVABLE"])<(data["NAME_GOODS_CATEGORY_Fitness"])) *1.))+(data["NAME_GOODS_CATEGORY_Fitness"])) /2.0), data["cc_bal_AMT_RECIVABLE"])) +
0.067018*np.tanh(((((8.43800640106201172)) <(np.where(( 5.17690801620483398)>0,(((((11.66382503509521484)) / 2.0)) -(( -1.0*(((-1.0*(((( data["DAYS_LAST_DUE_1ST_VERSION"])-(data["CODE_REJECT_REASON_LIMIT"])))))))))) , data["cc_bal_SK_DPD"])))*1.))+
0.099805*np.tanh(((data["cc_bal_SK_DPD"])*(( -1.0*(( np.minimum(((data["DAYS_LAST_DUE_1ST_VERSION"])) ,(( np.tanh(((( np.minimum(((2.0)) ,(( data["cc_bal_SK_DPD"])))) -(data["DAYS_LAST_DUE_1ST_VERSION"])))))))))))))+
0.097421*np.tanh(((((((np.tanh(( 1.0)))+(((( data["FLAG_DOCUMENT_16"])+(2.0)) /2.0)))) *(( 5.0)))) *(((data["NAME_GOODS_CATEGORY_Insurance"])*(((data["FLAG_DOCUMENT_16"])-(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])))))))+
0.099531*np.tanh(((((data["NAME_SELLER_INDUSTRY_Tourism"])*(np.where(((( data["NAME_SELLER_INDUSTRY_Tourism"])<(data["NAME_TYPE_SUITE_Group_of_people"])) *1.) >0,(( data["NAME_TYPE_SUITE_Group_of_people"])* 2.0), data["PRODUCT_COMBINATION_POS_mobile_without_interest"])))) * 2.0)) +
0.099531*np.tanh(((((( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, np.minimum(((data["CNT_INSTALMENT"])) ,(((( data["NAME_GOODS_CATEGORY_Insurance"])*(data["FLAG_DOCUMENT_4"]))))), data["NAME_GOODS_CATEGORY_Education"])) <(np.minimum(((-1.0)) ,(( data["NAME_GOODS_CATEGORY_Education"])))))*1.))* 2.0)) +
0.099766*np.tanh(((((((np.where(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])/ 2.0)>0, data["NAME_CASH_LOAN_PURPOSE_Furniture"], data["CNT_INSTALMENT"])) *(data["NAME_GOODS_CATEGORY_Education"])))-(((( data["FLAG_DOCUMENT_4"])+(data["FLAG_DOCUMENT_10"])) /2.0)))) * 2.0)) +
0.099766*np.tanh(np.where(((data["PRODUCT_COMBINATION_Cash"])-(data["NAME_CASH_LOAN_PURPOSE_Furniture"])) >0, np.minimum(((np.tanh(( data["cnt_FLAG_DOCUMENT_10"])))) ,(((( data["CNT_INSTALMENT_FUTURE"])/ 2.0)))) ,(((-1.0*(((((data["NAME_GOODS_CATEGORY_Fitness"])>(1.0)) *1.))))) / 2.0)))+
0.088277*np.tanh(((((np.tanh(( np.where(data["NAME_YIELD_GROUP_XNA"]>0, data["PRODUCT_COMBINATION_Cash"], data["NAME_CONTRACT_TYPE_Cash_loans"])))) / 2.0)) / 2.0)) +
0.098867*np.tanh(np.minimum(((( -1.0*(((((np.where(-1.0>0, 2.0,(( data["NAME_SELLER_INDUSTRY_XNA"])+(data["NAME_PORTFOLIO_Cash"])))) >(( 3.0)))*1.)))))),(( data["NAME_GOODS_CATEGORY_Insurance"])))) +
0.099687*np.tanh(np.where(data["CHANNEL_TYPE_AP___Cash_loan_"]>0,(((((data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0)) >(((np.tanh(( np.minimum(((0.0)) ,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))) +(2.0)))) *1.) ,(-1.0*(((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0)))))) +
0.070066*np.tanh(np.maximum(((((( np.where(np.where(data["DAYS_LAST_DUE_1ST_VERSION"]>0, data["CHANNEL_TYPE_Stone"], data["cnt_FLAG_DOCUMENT_10"])>0, 3.0, data["CNT_INSTALMENT"])) <(((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))*1.))) ,(((-1.0*(( 0.0)))))))+
0.099531*np.tanh(( -1.0*(((((np.where(((data["NAME_PORTFOLIO_Cards"])+(data["DAYS_FIRST_DRAWING"])) >0, data["NAME_YIELD_GROUP_XNA"],(-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))>(( 2.0)))*1.))))) +
0.074717*np.tanh(np.tanh(( np.where(data["DAYS_LAST_DUE_1ST_VERSION"]>0,(((( data["EXT_SOURCE_3"])* 2.0)) -(1.0)) , data["NAME_GOODS_CATEGORY_Insurance"])))) +
0.099531*np.tanh(((((np.tanh(((((((( data["ca__Active"])* 2.0)) *(( 4.0)))) * 2.0)))) / 2.0)) / 2.0)) +
0.085619*np.tanh(((( data["DAYS_CREDIT_ENDDATE"])<(( -1.0*(((((((data["NAME_GOODS_CATEGORY_Fitness"])>(data["DAYS_CREDIT_ENDDATE"])) *1.))/ 2.0)))))) *1.))+
0.099961*np.tanh(((((((( np.where(((( 1.0)+(data["CNT_INSTALMENT_FUTURE"])) /2.0)>0, data["DAYS_CREDIT"], -2.0)) +(data["DAYS_CREDIT"])))*(data["SK_ID_BUREAU"])))+(data["DAYS_CREDIT"])) /2.0)) +
0.079132*np.tanh(((data["SK_ID_BUREAU"])*(((((((( data["CNT_INSTALMENT_FUTURE"])* 2.0)) <(data["SK_ID_BUREAU"])) *1.))*(data["AMT_CREDIT_x"])))))+
0.098828*np.tanh(((((( np.where(data["SK_ID_BUREAU"]>0, data["CNT_INSTALMENT_FUTURE"], data["FLAG_DOCUMENT_2"])) +(np.where(data["SK_ID_BUREAU"]>0, data["cnt_DAYS_ID_PUBLISH"], np.tanh(((((1.0)>(( 11.27696132659912109)))*1.))))))/2.0)) / 2.0)) +
0.099492*np.tanh(np.minimum(((0.0)) ,(((( data["DAYS_CREDIT"])*(np.maximum(((data["CNT_INSTALMENT"])) ,(( np.maximum(((data["inst_NUM_INSTALMENT_VERSION"])) ,(( np.tanh(((((-2.0)>(0.0)) *1.))))))))))))))) +
0.099922*np.tanh(np.tanh(((((np.tanh(( np.tanh(((-1.0*(( np.maximum(((-3.0)) ,(( data["ca__Closed"])))))))))))+(((data["ca__Closed"])*(( -1.0*(( data["SK_ID_BUREAU"])))))))/2.0)))) +
0.099883*np.tanh(np.maximum(((((((((np.where(data["DAYS_ENDDATE_FACT"]>0, -1.0, data["SK_ID_BUREAU"])) +(1.0)))*(data["AMT_CREDIT_y"])))*(data["CNT_INSTALMENT_FUTURE"])))) ,(( 0.0)))) +
0.089840*np.tanh(((((((data["inst_AMT_PAYMENT"])*(((((data["SK_ID_BUREAU"])/ 2.0)) *(data["inst_AMT_PAYMENT"])))))+(((( 0.0)<(data["PRODUCT_COMBINATION_POS_household_without_interest"])) *1.))))/ 2.0)) +
0.100000*np.tanh(np.minimum(((((( data["AMT_CREDIT_SUM_DEBT"])+(np.maximum(((data["EXT_SOURCE_3"])) ,(( data["AMT_CREDIT_SUM_DEBT"])))))/2.0))),(((((0.0)) -(np.where(data["AMT_CREDIT_SUM_DEBT"]>0, data["EXT_SOURCE_3"], data["NAME_GOODS_CATEGORY_Insurance"])))))))+
0.099922*np.tanh(( -1.0*(((((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))+(((( np.tanh(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["EXT_SOURCE_3"])/ 2.0)))))) <(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))))*(data["EXT_SOURCE_3"])))))) +
0.100000*np.tanh(((((np.minimum(((((data["DAYS_LAST_DUE"])*(data["CNT_INSTALMENT"])))) ,(((((10.0)) *(1.0)))))) / 2.0)) *(data["inst_AMT_PAYMENT"])))+
0.100000*np.tanh(((data["EXT_SOURCE_3"])*(((((( data["AMT_GOODS_PRICE_x"])<(((np.tanh(((( data["AMT_GOODS_PRICE_x"])* 2.0)))) * 2.0)))*1.))/ 2.0)))) +
0.100000*np.tanh(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((data["DAYS_CREDIT_UPDATE"])<(-3.0)) *1.))))) *(data["DAYS_CREDIT"])))+
0.084447*np.tanh(np.minimum(((((np.minimum(((( -1.0*(( data["CHANNEL_TYPE_Stone"]))))),(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) *(((data["inst_AMT_PAYMENT"])/ 2.0))))),(((((( -1.0*(( data["NAME_YIELD_GROUP_low_action"])))) +(2.0)) /2.0)))))+
0.099922*np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Repairs"])*(((((data["NAME_CASH_LOAN_PURPOSE_Repairs"])*(((((( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((data["EXT_SOURCE_3"])+(1.0)) /2.0)))))+(data["inst_DAYS_INSTALMENT"])) /2.0)) / 2.0)))) / 2.0)))) +
0.099726*np.tanh(np.where(np.maximum(((data["te_DAYS_ID_PUBLISH"])) ,(( np.tanh(( data["te_DAYS_ID_PUBLISH"])))))>0,(((((data["te_DAYS_ID_PUBLISH"])>(3.0)) *1.))*(data["te_DAYS_ID_PUBLISH"])) , data["AMT_CREDIT_x"])) +
0.100000*np.tanh(((data["NAME_GOODS_CATEGORY_Medicine"])+(((( data["NAME_GOODS_CATEGORY_Medicine"])>(((((( data["EXT_SOURCE_3"])+(2.0)) /2.0)) +(( -1.0*(( np.tanh(( data["NAME_GOODS_CATEGORY_Medicine"])))))))))*1.))))+
0.100000*np.tanh(np.where(( -1.0*(((((((((( 0.41248092055320740)) / 2.0)) +(data["AMT_GOODS_PRICE_x"])) /2.0)) *(data["AMT_GOODS_PRICE_x"])))))>0, -2.0,(((( data["cnt_FLAG_DOCUMENT_10"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))* 2.0)))+
0.099883*np.tanh(((((data["inst_AMT_PAYMENT"])*(((np.where(0.0>0,(-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"]))), np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( -2.0)+(((data["inst_AMT_PAYMENT"])/ 2.0)))))))) * 2.0)))) * 2.0)) +
0.096717*np.tanh(((np.where(data["CNT_INSTALMENT_FUTURE"]>0,(((-1.0*(( 2.0)))) +(((data["CODE_REJECT_REASON_VERIF"])-(((data["CODE_REJECT_REASON_VERIF"])* 2.0))))), np.tanh(( data["inst_AMT_PAYMENT"])))) *(data["CODE_REJECT_REASON_VERIF"])))+
0.098828*np.tanh(np.where(((( data["NAME_CASH_LOAN_PURPOSE_Repairs"])<(((data["AMT_DOWN_PAYMENT"])* 2.0)))*1.) >0, data["NAME_CASH_LOAN_PURPOSE_Repairs"], np.tanh(((-1.0*(((((((( data["cc_bal_AMT_PAYMENT_CURRENT"])+(( 5.25137329101562500)))/2.0)) <(data["NAME_CASH_LOAN_PURPOSE_Repairs"])) *1.))))))))+
0.099570*np.tanh(((((((data["cc_bal_AMT_PAYMENT_CURRENT"])+(-1.0)) /2.0)) >(((( np.maximum(((-1.0)) ,(((( data["inst_AMT_PAYMENT"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) +(data["AMT_DOWN_PAYMENT"])) /2.0)))*1.))+
0.099609*np.tanh(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((((np.tanh(( np.where(((( data["AMT_GOODS_PRICE_x"])>(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) *1.) >0, data["inst_AMT_PAYMENT"], -2.0)))) * 2.0)) * 2.0)))) +
0.098476*np.tanh(((np.maximum(((((data["cc_bal_AMT_DRAWINGS_CURRENT"])-(-1.0)))) ,(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) *(np.tanh(((-1.0*(( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])-(data["cc_bal_AMT_DRAWINGS_CURRENT"])))))))))))))+
0.067917*np.tanh(((((data["inst_AMT_INSTALMENT"])* 2.0)) *(((((( 0.0)/ 2.0)) >(((((( data["AMT_CREDIT_x"])+(1.0)))+(((data["inst_AMT_INSTALMENT"])/ 2.0)))/2.0)))*1.))))+
0.064478*np.tanh(((np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0,(((data["inst_AMT_PAYMENT"])<(data["AMT_GOODS_PRICE_x"])) *1.) , data["NAME_GOODS_CATEGORY_Direct_Sales"])) *(((data["inst_AMT_PAYMENT"])+(((-2.0)* 2.0)))))) +
0.100000*np.tanh(((data["AMT_GOODS_PRICE_x"])*(np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( data["NAME_GOODS_CATEGORY_Insurance"])-(((( data["cu__currency_3"])>(( -1.0*(( np.tanh(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))*1.))))))))) +
0.099570*np.tanh(np.maximum(((((((data["AMT_DOWN_PAYMENT"])*(data["cu__currency_3"])))*(-3.0)))) ,(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])>(np.maximum(((( 14.77923965454101562))),(( data["AMT_DOWN_PAYMENT"])))))*1.))))) +
0.099453*np.tanh(((((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))* 2.0)) <(((((((-1.0*(( 2.0)))) +(((data["AMT_DOWN_PAYMENT"])/ 2.0)))/2.0)) / 2.0)))*1.))+
0.062173*np.tanh(((((( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])-(((data["CHANNEL_TYPE_Car_dealer"])/ 2.0)))) +(((((( data["CHANNEL_TYPE_Car_dealer"])-(data["NAME_GOODS_CATEGORY_Insurance"])))>(data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) *1.))) /2.0)) +
0.098867*np.tanh(( -1.0*(( np.maximum(((((np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["NAME_GOODS_CATEGORY_Fitness"], data["NAME_GOODS_CATEGORY_Weapon"])) +(np.tanh(( data["FLAG_DOCUMENT_10"])))))) ,(((((((data["NAME_GOODS_CATEGORY_Fitness"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))<(-1.0)) *1.))))))))+
0.098671*np.tanh(((data["cnt_FLAG_DOCUMENT_9"])*(((( data["cnt_FLAG_DOCUMENT_4"])+(np.where(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( data["cnt_FLAG_DOCUMENT_9"])))>0, data["NAME_GOODS_CATEGORY_Direct_Sales"], -3.0)))/2.0)))) +
0.086088*np.tanh(np.minimum(((data["FLAG_DOCUMENT_17"])) ,(((( np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((data["YEARS_BUILD_AVG"])+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])) /2.0)))))+(( -1.0*(( np.where(( -1.0*(( data["te_FLAG_DOCUMENT_8"])))>0, data["YEARS_BUILD_AVG"], data["FLAG_DOCUMENT_17"])))))))))) +
0.098867*np.tanh(np.where(( 10.90770244598388672)>0,(((((( 2.0)) <(data["HOUSETYPE_MODE"])) *1.))*(((data["nans"])*(((-3.0)* 2.0))))),(-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))+
0.099531*np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((((data["cnt_WALLSMATERIAL_MODE"])-(np.minimum(((3.0)) ,(((-1.0*(((( data["te_FONDKAPREMONT_MODE"])* 2.0)))))))))) -(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(1.0)) *1.))))))+
0.098867*np.tanh(np.tanh(((((np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["te_FLAG_DOCUMENT_8"])))) <(((data["inst_AMT_PAYMENT"])-(((((((( 3.0)+(data["inst_AMT_PAYMENT"])))+(data["cnt_HOUSETYPE_MODE"])) /2.0)) * 2.0)))))*1.))))+
0.098710*np.tanh(np.minimum(((((((data["cnt_FLAG_DOCUMENT_8"])*(((1.0)-(np.maximum(((data["AMT_GOODS_PRICE_x"])) ,(( np.maximum(((data["FLAG_DOCUMENT_8"])) ,(( 0.0)))))))))))/ 2.0))),(((( data["cnt_FLAG_DOCUMENT_8"])*(data["cnt_HOUSETYPE_MODE"])))))) +
0.069637*np.tanh(((((np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["te_REG_REGION_NOT_LIVE_REGION"], np.maximum(((data["CODE_REJECT_REASON_SCOFR"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))))*(data["te_REG_REGION_NOT_LIVE_REGION"])))* 2.0)) +
0.099766*np.tanh(np.where(data["AMT_CREDIT_MAX_OVERDUE"]>0, data["AMT_CREDIT_MAX_OVERDUE"],(((((data["AMT_CREDIT_MAX_OVERDUE"])* 2.0)) >(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))) +
0.086635*np.tanh(((((-1.0*(((( data["te_REG_REGION_NOT_LIVE_REGION"])*(((((((3.0)*(data["te_FLAG_EMAIL"])))/ 2.0)) / 2.0)))))))+(np.where(data["te_FLAG_EMAIL"]>0, 0.0, data["AMT_CREDIT_x"])))/2.0)) +
0.099492*np.tanh(((((((( np.minimum(((-2.0)) ,(((((data["te_FLAG_EMAIL"])<(np.tanh(((7.92169857025146484)))))*1.))))) -(3.0)))>(data["te_FLAG_EMAIL"])) *1.))-(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)))) +
0.096678*np.tanh(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( data["CNT_INSTALMENT"])*(((((( data["AMT_GOODS_PRICE_x"])*(data["cnt_DAYS_BIRTH"])))+(data["cnt_DAYS_BIRTH"])) /2.0)))))))+
0.099961*np.tanh(((np.where(data["NAME_GOODS_CATEGORY_Education"]>0,(( data["AMT_CREDIT_x"])-(((((data["NAME_GOODS_CATEGORY_Education"])+(data["cnt_FLAG_DOCUMENT_18"])))* 2.0))),(( data["cnt_FLAG_DOCUMENT_18"])-(((data["NAME_GOODS_CATEGORY_Education"])* 2.0)))))/ 2.0)) +
0.099922*np.tanh(((data["cnt_FLAG_DOCUMENT_14"])*(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["FLAG_DOCUMENT_18"],(( data["FLAG_DOCUMENT_18"])+(((data["FLAG_DOCUMENT_14"])-(((1.0)-(((data["cnt_FLAG_DOCUMENT_18"])*(( 7.0)))))))))))))+
0.060297*np.tanh(np.where(((( data["CNT_INSTALMENT_FUTURE"])>(np.minimum(((1.0)) ,(( 1.0)))))*1.) >0, data["nans"],(((data["cnt_FLAG_DOCUMENT_14"])+(np.tanh(((-1.0*(( data["nans"])))))))/2.0)))+
0.099922*np.tanh(((data["DAYS_CREDIT"])*(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((((data["CNT_INSTALMENT_FUTURE"])+(((( -1.0*(((( data["te_FLAG_DOCUMENT_20"])*(data["WALLSMATERIAL_MODE"])))))) *(((data["CNT_INSTALMENT_FUTURE"])* 2.0)))))/2.0)) / 2.0)))))))+
0.099883*np.tanh(((((( 3.0)/ 2.0)) <(((data["avg_buro_buro_bal_status_C"])-(((( np.where(data["AMT_CREDIT_y"]>0, data["te_FLAG_DOCUMENT_20"], data["avg_buro_MONTHS_BALANCE"])) +(data["WALLSMATERIAL_MODE"])) /2.0)))))*1.))+
0.096600*np.tanh(((((data["WALLSMATERIAL_MODE"])*(((np.where(2.0>0,(( data["AMT_CREDIT_y"])* 2.0), -3.0)) *(data["NAME_GOODS_CATEGORY_Auto_Accessories"])))))-(((( data["te_FLAG_DOCUMENT_20"])>(np.tanh(( 2.0)))) *1.))))+
0.099648*np.tanh(( -1.0*(((((( 2.71130990982055664)) <(((((( data["NAME_GOODS_CATEGORY_Auto_Accessories"])-(((( -1.0*(( 1.0)))) *(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))+(((1.0)+(data["AMT_CREDIT_y"])))) /2.0)))*1.))))) +
0.099726*np.tanh(((((((-1.0)+(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])*(data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])))) /2.0)) <(((((data["AMT_CREDIT_y"])* 2.0)) -(((( 3.0)) * 2.0)))))*1.))+
0.053576*np.tanh(np.minimum(((((data["AMT_GOODS_PRICE_x"])*(((data["inst_AMT_PAYMENT"])-(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(np.maximum(((data["inst_AMT_PAYMENT"])) ,(((( np.tanh(( data["CNT_INSTALMENT_FUTURE"])))/ 2.0)))))))))) +
0.099258*np.tanh(((((((data["CNT_INSTALMENT_FUTURE"])*(( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])))))) * 2.0)) +(((-2.0)*(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(((( 2.0)>(-3.0)) *1.))))))))+
0.099258*np.tanh(((((np.maximum(((( -1.0*(( data["inst_AMT_PAYMENT"]))))),(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])))) *(data["inst_AMT_PAYMENT"])))*(data["CNT_INSTALMENT"])))+
0.099961*np.tanh(((data["inst_AMT_INSTALMENT"])*(((((( np.where(-2.0>0,(( -1.0)*(data["inst_AMT_INSTALMENT"])) , data["CNT_INSTALMENT_FUTURE"])) <(((( data["NAME_YIELD_GROUP_high"])+(data["inst_AMT_INSTALMENT"])) /2.0)))*1.))/ 2.0)))) +
0.099961*np.tanh(((((((data["inst_AMT_INSTALMENT"])-(data["inst_AMT_PAYMENT"])))* 2.0)) *(( 4.81916522979736328)))) +
0.099922*np.tanh(( -1.0*(((((((((((((np.where(data["AMT_CREDIT_y"]>0,(0.0), data["inst_AMT_PAYMENT"])) >(data["inst_AMT_INSTALMENT"])) *1.))/ 2.0)) >(((( 0.0)>(( 11.85620403289794922)))*1.))) *1.))+(data["inst_AMT_PAYMENT"])) /2.0)))))+
0.099883*np.tanh(( -1.0*(((((( np.where(((data["NAME_PORTFOLIO_Cash"])+(( -1.0*(( np.minimum(((np.tanh(( data["AMT_ANNUITY"])))) ,(( data["inst_AMT_PAYMENT"])))))))) >0, data["AMT_ANNUITY"], 0.0)) / 2.0)) / 2.0)))))+
0.077061*np.tanh(np.where(data["cc_bal_SK_ID_PREV"]>0, np.tanh(( 1.0)) ,(( data["inst_NUM_INSTALMENT_NUMBER"])*(((((( 1.0)<(data["inst_NUM_INSTALMENT_NUMBER"])) *1.))+(data["inst_NUM_INSTALMENT_NUMBER"])))))) +
0.099922*np.tanh(((np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((( data["avg_buro_buro_bal_status_1"])*(((data["inst_NUM_INSTALMENT_VERSION"])-(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])))))))) +(((((( data["inst_NUM_INSTALMENT_VERSION"])* 2.0)) >(1.0)) *1.))))+
0.100000*np.tanh(np.minimum(((((data["Completed"])*(((data["PRODUCT_COMBINATION_Cash_Street__high"])*(1.0)))))) ,(( np.tanh(((((((((( data["NFLAG_INSURED_ON_APPROVAL"])*(data["CNT_INSTALMENT_FUTURE"])))* 2.0)) / 2.0)) / 2.0)))))))+
0.087026*np.tanh(np.maximum(((np.where(data["PRODUCT_COMBINATION_Cash_X_Sell__high"]>0, data["NAME_YIELD_GROUP_low_action"],(((np.maximum(((data["NAME_YIELD_GROUP_low_action"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) >(1.0)) *1.)))),(((((data["SK_ID_PREV_y"])<(((2.0)-(( 3.0)))))*1.))))) +
0.056389*np.tanh(((np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["MONTHS_BALANCE"])))) *(((data["CNT_INSTALMENT_FUTURE"])-(np.minimum(((data["inst_AMT_PAYMENT"])) ,(((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))+(( 14.19008731842041016)))))))))))+
0.075889*np.tanh(((data["MONTHS_BALANCE"])*(np.tanh(( np.minimum(((( -1.0*(( data["NAME_YIELD_GROUP_low_action"]))))),(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))))) +
0.080227*np.tanh(((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(( -1.0*(((((( np.tanh(( data["SK_ID_PREV_y"])))/ 2.0)) * 2.0)))))) /2.0)) / 2.0)) +
0.091755*np.tanh(np.minimum(((np.tanh(((( data["NAME_SELLER_INDUSTRY_Connectivity"])*(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(data["NAME_SELLER_INDUSTRY_Connectivity"])))))))) ,(((( data["NAME_SELLER_INDUSTRY_Connectivity"])*(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])* 2.0)))))))+
0.099570*np.tanh(((data["NAME_SELLER_INDUSTRY_Connectivity"])*(( -1.0*(((((((( data["NAME_SELLER_INDUSTRY_Connectivity"])>(data["DAYS_FIRST_DRAWING"])) *1.))<(np.maximum(((0.0)) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(((data["cc_bal_AMT_PAYMENT_CURRENT"])* 2.0)))))))) *1.))))))) +
0.090621*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["DAYS_FIRST_DRAWING"],(((( data["cc_bal_AMT_PAYMENT_CURRENT"])*(data["CNT_INSTALMENT"])))/ 2.0)))+
0.099766*np.tanh(np.where(((data["DAYS_FIRST_DRAWING"])*(((( 1.90255212783813477)) *(-2.0)))) >0,(((((data["cc_bal_AMT_PAYMENT_CURRENT"])/ 2.0)) >(((3.0)+(data["DAYS_FIRST_DRAWING"])))) *1.) , np.tanh(( data["cc_bal_AMT_PAYMENT_CURRENT"])))) +
0.099844*np.tanh(((((data["SK_ID_BUREAU"])* 2.0)) *(((( np.tanh(( 3.0)))<(((data["SK_ID_BUREAU"])+(((((((data["CNT_INSTALMENT"])+(-2.0)))* 2.0)) * 2.0)))))*1.))))+
0.079797*np.tanh(((( data["NAME_SELLER_INDUSTRY_Connectivity"])>(((((2.0)) +(((((((3.0)/ 2.0)) +(data["MONTHS_BALANCE"])))+(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["MONTHS_BALANCE"], np.tanh(( 2.0)))))))/2.0)))*1.))+
0.096561*np.tanh(np.minimum(((((((((((((( data["SK_DPD"])+(data["WALLSMATERIAL_MODE"])) /2.0)) *(data["SK_ID_PREV_x"])))*(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))* 2.0)) * 2.0))),(( np.where(data["WALLSMATERIAL_MODE"]>0, data["NAME_CLIENT_TYPE_Repeater"],(2.05001640319824219)))))) +
0.081594*np.tanh(( -1.0*(((((((( data["CNT_INSTALMENT"])<(2.0)) *1.))<(data["te_WALLSMATERIAL_MODE"])) *1.))))) +
0.099492*np.tanh(((((((((data["CNT_INSTALMENT_FUTURE"])/ 2.0)) +(((np.tanh(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, 3.0, data["cnt_WALLSMATERIAL_MODE"])))) +(data["AMT_CREDIT_x"])))) /2.0)) >(2.0)) *1.))+
0.076163*np.tanh(((((((( 2.0)-(((( data["WALLSMATERIAL_MODE"])>(( 11.67886257171630859)))*1.))))-(((( data["cnt_WALLSMATERIAL_MODE"])>(( -1.0*(( data["DAYS_LAST_DUE_1ST_VERSION"])))))*1.))))<(data["WALLSMATERIAL_MODE"])) *1.))+
0.091755*np.tanh(((np.where(((( data["NAME_CONTRACT_TYPE_Revolving_loans"])>(data["DAYS_LAST_DUE_1ST_VERSION"])) *1.) >0, np.where(-1.0>0, np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) ,(( 0.0))), data["NAME_PORTFOLIO_Cards"]), data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) *(data["AMT_CREDIT_x"])))+
0.093513*np.tanh(((((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])*(((((((data["DAYS_LAST_DUE_1ST_VERSION"])>(((( data["DAYS_LAST_DUE_1ST_VERSION"])>(((((data["inst_NUM_INSTALMENT_VERSION"])* 2.0)) / 2.0)))*1.))) *1.))+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) /2.0)))) * 2.0)) +
0.098202*np.tanh(((-2.0)*(((np.tanh(( data["avg_buro_buro_count"])))*(np.where(np.where(( 5.0)>0, np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(( data["avg_buro_buro_count"]))), data["CNT_INSTALMENT_FUTURE"])>0, data["NAME_CASH_LOAN_PURPOSE_Business_development"], data["AMT_GOODS_PRICE_x"])))))) +
0.091872*np.tanh(np.tanh(((( data["FLAG_OWN_CAR"])*(np.minimum(((data["inst_AMT_PAYMENT"])) ,(((((( -1.0*(( data["avg_buro_buro_count"])))) >(((data["AMT_GOODS_PRICE_x"])* 2.0)))*1.))))))))) +
0.098789*np.tanh(((3.0)*(((( -1.0*(((( data["FLAG_OWN_CAR"])+(data["te_FLAG_OWN_CAR"])))))) +(((( data["avg_buro_buro_count"])<(((((3.0)/ 2.0)) +(( -1.0*(( 3.0)))))))*1.))))))+
0.099570*np.tanh(((((np.tanh(((( np.minimum(((((data["te_FLAG_DOCUMENT_2"])/ 2.0))),(( np.minimum(((data["te_FLAG_DOCUMENT_12"])) ,(( data["te_DAYS_BIRTH"])))))))-(((np.tanh(((( 1.0)/ 2.0)))) / 2.0)))))) / 2.0)) / 2.0)) +
0.098476*np.tanh(((((((1.0)*(((np.where(data["AMT_GOODS_PRICE_x"]>0, -1.0, data["te_CODE_GENDER"])) / 2.0)))) / 2.0)) / 2.0)) +
0.099531*np.tanh(((( np.where(((( data["AMT_CREDIT_y"])+(((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])/ 2.0)))/2.0)>0,(( data["AMT_CREDIT_y"])+(1.0)) , np.minimum(((((2.0)/ 2.0))),(( data["avg_buro_buro_count"])))))<(-1.0)) *1.))+
0.093630*np.tanh(np.minimum(((((np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(((-1.0*(( data["avg_buro_MONTHS_BALANCE"])))))))/ 2.0))),(((((data["FLAG_OWN_CAR"])>(np.minimum(((data["CNT_INSTALMENT_FUTURE"])) ,(( np.maximum(((data["te_FLAG_OWN_CAR"])) ,(( data["avg_buro_MONTHS_BALANCE"])))))))) *1.))))) +
0.096991*np.tanh(( -1.0*(((((((((data["CNT_INSTALMENT"])-(np.where(( 13.12239170074462891)>0, np.where(data["NAME_YIELD_GROUP_low_normal"]>0, -1.0, data["AMT_GOODS_PRICE_x"]), data["CNT_INSTALMENT"])))) >(2.0)) *1.))/ 2.0)))))+
0.099844*np.tanh(((( 2.0)<(((data["CNT_INSTALMENT_FUTURE"])-(((( data["AMT_GOODS_PRICE_x"])<(2.0)) *1.))))) *1.))+
0.082689*np.tanh(((( 3.0)<(((data["inst_AMT_PAYMENT"])*(data["inst_AMT_PAYMENT"])))) *1.))+
0.099961*np.tanh(((np.tanh(((((2.0)<(np.minimum(((((((((data["CHANNEL_TYPE_Car_dealer"])* 2.0)) * 2.0)) +(((( 0.91963672637939453)) -(data["AMT_ANNUITY_x"])))))) ,(((6.00309991836547852)))))) *1.))))/ 2.0)) +
0.099570*np.tanh(np.tanh(( np.where(np.tanh(((((data["inst_AMT_PAYMENT"])<(data["inst_AMT_INSTALMENT"])) *1.))) >0,(( data["CHANNEL_TYPE_Car_dealer"])-(data["inst_AMT_PAYMENT"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])-(0.0)))))) +
0.069676*np.tanh(((((((((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])/ 2.0)) >(data["AMT_APPLICATION"])) *1.))*(((( -1.0*(((( data["AMT_APPLICATION"])+(( -1.0*(( data["AMT_CREDIT_y"])))))))))* 2.0)))) * 2.0)) +
0.098593*np.tanh(np.tanh(( np.tanh(( np.minimum(((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(data["NAME_YIELD_GROUP_low_normal"])) *1.))) ,(((((data["AMT_CREDIT_y"])>(data["AMT_APPLICATION"])) *1.))))))))) +
0.100000*np.tanh(((( -1.0*(((( data["NAME_PRODUCT_TYPE_x_sell"])*(data["inst_NUM_INSTALMENT_NUMBER"])))))) *(((((((np.maximum(((data["DAYS_FIRST_DRAWING"])) ,(( data["NAME_PRODUCT_TYPE_x_sell"])))) +(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))/ 2.0)) *(1.0)))))+
0.099961*np.tanh(((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])>(np.maximum(((((((( -2.0)<(data["DAYS_LAST_DUE_1ST_VERSION"])) *1.))+(data["DAYS_LAST_DUE_1ST_VERSION"])))) ,(((((( data["DAYS_LAST_DUE_1ST_VERSION"])+(data["DAYS_LAST_DUE_1ST_VERSION"])))+(data["DAYS_LAST_DUE_1ST_VERSION"])))))))*1.))+
0.076827*np.tanh(((data["NAME_PRODUCT_TYPE_x_sell"])*(np.where(((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])/ 2.0)>0, data["NAME_CLIENT_TYPE_New"],(( np.minimum(((((data["NAME_CONTRACT_STATUS_Approved"])+(2.0)))) ,(((((( 8.13994503021240234)) <(3.0)) *1.))))) * 2.0)))))+
0.099179*np.tanh(np.minimum(((((data["AMT_CREDIT_x"])*(((((((( -1.0*(( data["CHANNEL_TYPE_Car_dealer"])))) * 2.0)) * 2.0)) -(0.0)))))) ,(((-1.0*(( data["CHANNEL_TYPE_Car_dealer"])))))))+
0.099726*np.tanh(((((((data["NAME_CONTRACT_STATUS_Approved"])/ 2.0)) *(data["PRODUCT_COMBINATION_Card_X_Sell"])))*(np.minimum(((((data["DAYS_LAST_DUE_1ST_VERSION"])*(data["PRODUCT_COMBINATION_Card_X_Sell"])))) ,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))) +
0.099883*np.tanh(np.maximum(((((data["inst_DAYS_ENTRY_PAYMENT"])+(((-1.0)-(((( data["CODE_REJECT_REASON_HC"])>(0.0)) *1.))))))) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["CODE_REJECT_REASON_HC"])))))) +
0.099453*np.tanh(((((data["DAYS_FIRST_DUE"])*(((((((data["DAYS_FIRST_DUE"])*(data["cc_bal_AMT_PAYMENT_CURRENT"])))/ 2.0)) +(( -1.0*(( np.tanh(( np.tanh(( data["PRODUCT_COMBINATION_Card_X_Sell"])))))))))))) / 2.0)) +
0.099844*np.tanh(((( np.minimum(((((((((1.0)* 2.0)) +(data["DAYS_FIRST_DUE"])))*(data["DAYS_LAST_DUE"])))) ,(( np.tanh(( 0.0)))))) >(data["DAYS_TERMINATION"])) *1.))+
0.099375*np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["DAYS_FIRST_DUE"])+(((data["DAYS_FIRST_DUE"])+(data["DAYS_TERMINATION"])))))))* 2.0)) +
0.099922*np.tanh(((((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(( -1.0*(( np.minimum(((data["NAME_CONTRACT_STATUS_Approved"])) ,(((((data["NAME_GOODS_CATEGORY_Insurance"])+(data["SK_DPD_DEF"])) /2.0)))))))))*1.))* 2.0)) * 2.0)) +
0.088707*np.tanh(((np.where(data["PRODUCT_COMBINATION_Card_X_Sell"]>0, np.minimum(((np.tanh(( data["AMT_CREDIT_y"])))) ,(( np.minimum(((( -1.0*(( data["avg_buro_buro_bal_status_1"]))))),(( data["SK_DPD_DEF"])))))) , data["SK_DPD_DEF"])) * 2.0)) +
0.075811*np.tanh(( -1.0*(( np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, np.maximum(((data["AMT_GOODS_PRICE_x"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"]))), data["cc_bal_cc_bal_status__Sent_proposal"])))))+
0.099570*np.tanh(((( -1.0*(( np.where(((( 13.84500789642333984)) *(data["CHANNEL_TYPE_Car_dealer"])) >0, data["OBS_60_CNT_SOCIAL_CIRCLE"],(-1.0*(( np.maximum(((data["SK_DPD_DEF"])) ,(((((( 3.0)) <(data["OBS_60_CNT_SOCIAL_CIRCLE"])) *1.))))))))))))* 2.0)) +
0.099805*np.tanh(( -1.0*(((((data["NAME_GOODS_CATEGORY_Insurance"])+(((((np.minimum(((data["OBS_30_CNT_SOCIAL_CIRCLE"])) ,(( np.maximum(((((-1.0)+(data["NAME_YIELD_GROUP_high"])))) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))/ 2.0)) +(data["SK_DPD_DEF"])))) /2.0)))))+
0.099648*np.tanh(((((data["EXT_SOURCE_3"])*(np.tanh(((((((((11.57633495330810547)) >(((data["SK_DPD_DEF"])*(( 5.0)))))*1.))<(((np.minimum(((data["AMT_DOWN_PAYMENT"])) ,(((11.51627063751220703)))))* 2.0)))*1.))))))* 2.0)) +
0.100000*np.tanh(np.where(data["CNT_INSTALMENT"]>0,(((( data["SK_DPD_DEF"])-(((( 3.0)<(data["CHANNEL_TYPE_Car_dealer"])) *1.))))*(( 8.51310443878173828))), data["NAME_GOODS_CATEGORY_Insurance"])) +
0.099922*np.tanh(np.where(data["SK_DPD_DEF"]>0,(( np.minimum(((( 2.84313511848449707))),(((((( data["inst_DAYS_INSTALMENT"])-(0.0)))* 2.0)))))* 2.0),(-1.0*(( 0.0)))))+
0.099844*np.tanh(((((np.minimum(((data["AMT_CREDIT_x"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) +(data["SK_DPD_DEF"])))*(np.where(data["SK_DPD_DEF"]>0,(( data["CNT_INSTALMENT_FUTURE"])* 2.0), data["NAME_GOODS_CATEGORY_Insurance"])))) +
0.068660*np.tanh(((data["CNT_INSTALMENT_FUTURE"])*(np.maximum(((np.minimum(((((1.0)-(data["SK_DPD_DEF"])))) ,(( data["SK_DPD_DEF"]))))),(((( data["SK_ID_PREV_x"])/ 2.0)))))))+
0.099179*np.tanh(np.where(data["CHANNEL_TYPE_AP___Cash_loan_"]>0,(-1.0*(((( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( data["CNT_INSTALMENT"])/ 2.0)))))/ 2.0)))) , np.where(data["AMT_DOWN_PAYMENT"]>0,(((data["AMT_CREDIT_x"])<(-1.0)) *1.) , data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))+
0.099844*np.tanh(np.minimum(((((((( data["SK_DPD_DEF"])* 2.0)) +(((np.tanh(( data["REGION_POPULATION_RELATIVE"])))/ 2.0)))/2.0))),(( np.tanh(((( data["SK_DPD_DEF"])*(data["CNT_INSTALMENT"])))))))) +
0.099726*np.tanh(((data["cnt_FLAG_DOCUMENT_10"])+(( -1.0*(( np.maximum(((np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["te_REGION_RATING_CLIENT_W_CITY"], data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]))),(((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])+(((data["SK_DPD_DEF"])/ 2.0)))/2.0)))))))))) +
0.099648*np.tanh(((((( -1.0*(( np.where(np.where(((-1.0)/ 2.0)>0, data["NAME_GOODS_CATEGORY_Insurance"], data["NAME_CASH_LOAN_PURPOSE_Business_development"])>0,(( data["AMT_CREDIT_x"])* 2.0), data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))* 2.0)) *(data["REGION_RATING_CLIENT_W_CITY"])))+
0.099687*np.tanh(np.minimum(((( -1.0*(((((data["AMT_CREDIT_x"])>(((2.0)* 2.0)))*1.)))))),(((((((((-1.0*(( data["cnt_FLAG_DOCUMENT_13"])))) <(np.tanh(( data["cnt_REGION_RATING_CLIENT_W_CITY"])))) *1.))+(data["AMT_CREDIT_x"])) /2.0)))))+
0.075225*np.tanh(((((data["inst_AMT_PAYMENT"])* 2.0)) *(np.where(((np.where(-3.0>0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"], data["cnt_NAME_HOUSING_TYPE"])) -(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) >0, data["CHANNEL_TYPE_Car_dealer"], data["inst_AMT_PAYMENT"])))) +
0.099844*np.tanh(((-3.0)*(((((((( data["REGION_RATING_CLIENT_W_CITY"])+(data["NAME_HOUSING_TYPE"])))+(data["CHANNEL_TYPE_Car_dealer"])))>(((((9.0)) +(((( data["CHANNEL_TYPE_Car_dealer"])+(-1.0)) /2.0)))/2.0)))*1.))))+
0.094881*np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0)) *(((((( -1.0*(( data["te_REGION_RATING_CLIENT_W_CITY"])))) -(((( 2.0)+(0.0)) /2.0)))) -(data["REGION_RATING_CLIENT_W_CITY"])))))+
0.084525*np.tanh(((np.tanh(( data["HOUR_APPR_PROCESS_START_x"])))*(((( data["AMT_DOWN_PAYMENT"])+(((((((data["AMT_CREDIT_x"])<(2.0)) *1.))+(data["AMT_CREDIT_x"])) /2.0)))/2.0)))) +
0.085698*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(((data["cnt_FLAG_DOCUMENT_4"])<(( -1.0*(( data["te_HOUR_APPR_PROCESS_START_x"])))))*1.) ,(((-3.0)>(data["HOUR_APPR_PROCESS_START_y"])) *1.))) +
0.084369*np.tanh(((np.minimum(((np.minimum(((((data["HOUR_APPR_PROCESS_START_x"])*(data["nans"])))) ,(((0.75266021490097046)))))) ,(((((( data["HOUR_APPR_PROCESS_START_x"])*(np.tanh(( data["NAME_GOODS_CATEGORY_Insurance"])))))* 2.0)))))/ 2.0)) +
0.098828*np.tanh(((data["AMT_GOODS_PRICE_x"])*(((data["FLAG_DOCUMENT_14"])-(((( 0.0)<(data["NAME_GOODS_CATEGORY_Fitness"])) *1.))))))+
0.094998*np.tanh(np.where(data["AMT_CREDIT_y"]>0, data["te_FLAG_DOCUMENT_14"], np.tanh(((-1.0*(( np.where(3.0>0,(((( -1.0*(((( data["AMT_CREDIT_x"])/ 2.0)))))+(0.0)) /2.0), data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))) +
0.099492*np.tanh(( -1.0*(((-1.0*(((((( data["te_FLAG_DOCUMENT_5"])+(data["AMT_GOODS_PRICE_x"])))*(data["FLAG_DOCUMENT_14"])))))))))+
0.099961*np.tanh(((np.minimum(((np.maximum(((data["FLAG_DOCUMENT_14"])) ,(((((data["AMT_GOODS_PRICE_x"])<(data["te_FLAG_DOCUMENT_14"])) *1.)))))),(( data["cnt_FLAG_DOCUMENT_14"])))) *(((2.0)-(data["AMT_GOODS_PRICE_x"])))))+
0.094216*np.tanh(np.minimum(((((( np.tanh(((-1.0*(((( data["nans"])/ 2.0)))))))+(data["te_FLAG_DOCUMENT_14"])) /2.0))),(( 0.0)))) +
0.099570*np.tanh(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) ,(((((((((-2.0)-(((( data["FLAG_DOCUMENT_4"])>(1.0)) *1.))))<(((( -1.0*(( data["AMT_DOWN_PAYMENT"])))) *(2.0)))) *1.))+(data["AMT_CREDIT_y"])))))) +
0.080070*np.tanh(((((( data["CNT_INSTALMENT"])+(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(np.maximum(((data["AMT_CREDIT_x"])) ,(((((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) +(1.0)) /2.0)))))))))<(((((-2.0)/ 2.0)) * 2.0)))*1.))+
0.080070*np.tanh(((( data["AMT_DOWN_PAYMENT"])>(((((2.39543843269348145)) +(((np.tanh(( data["AMT_GOODS_PRICE_x"])))*(( -1.0*(((((((data["AMT_GOODS_PRICE_x"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))<(data["AMT_DOWN_PAYMENT"])) *1.))))))))/2.0)))*1.))+
0.099883*np.tanh(((data["cnt_DAYS_BIRTH"])*(((((data["CHANNEL_TYPE_Car_dealer"])+(np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["AMT_GOODS_PRICE_x"],(((data["te_FLAG_DOCUMENT_20"])+(data["NAME_GOODS_CATEGORY_Fitness"])) /2.0)))))/ 2.0)))) +
0.084134*np.tanh(np.minimum(((data["SK_DPD_DEF"])) ,(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["te_FLAG_DOCUMENT_20"],(((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["SK_DPD_DEF"])))-(data["CHANNEL_TYPE_Car_dealer"])))-(data["CHANNEL_TYPE_Car_dealer"])))))))+
0.097499*np.tanh(np.minimum(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["AMT_GOODS_PRICE_x"])))) ,(((( 0.0)-(((-2.0)+(np.maximum(((((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0)) * 2.0))),(( data["AMT_GOODS_PRICE_x"])))))))))))+
0.079015*np.tanh(((data["te_FLAG_CONT_MOBILE"])*(np.where(2.0>0, np.where(((data["NAME_GOODS_CATEGORY_Insurance"])+(data["AMT_CREDIT_y"])) >0,(( data["AMT_CREDIT_x"])/ 2.0), data["NAME_GOODS_CATEGORY_Fitness"]),(( data["NAME_GOODS_CATEGORY_Fitness"])-(data["te_FLAG_CONT_MOBILE"])))))) +
0.099101*np.tanh(((((( data["te_FLAG_DOCUMENT_19"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))<(np.minimum(((((((data["te_FLAG_DOCUMENT_20"])-(data["te_FLAG_EMAIL"])))* 2.0))),(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))*1.))+
0.099766*np.tanh(((data["FLAG_DOCUMENT_15"])*(np.minimum(((3.0)) ,(( np.minimum(((data["FLAG_DOCUMENT_15"])) ,(((( data["te_FLAG_DOCUMENT_20"])-(((np.minimum(((( 5.04014062881469727))),(((((0.19776110351085663)) / 2.0)))))* 2.0)))))))))))) +
0.099492*np.tanh(((np.minimum(((data["cnt_FLAG_DOCUMENT_4"])) ,(((((( 1.0)-(data["te_FLAG_DOCUMENT_20"])))-(np.tanh(( np.tanh(( data["NAME_GOODS_CATEGORY_Fitness"])))))))))) +(((data["FLAG_DOCUMENT_15"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))+
0.098085*np.tanh(np.where(data["FLAG_DOCUMENT_15"]>0, data["te_FLAG_DOCUMENT_20"],(((((-1.0*(( data["te_FLAG_DOCUMENT_20"])))) *(((( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])<(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))))/ 2.0)))+
0.099297*np.tanh(((data["FLAG_DOCUMENT_15"])*(np.where(np.tanh(((( data["FLAG_DOCUMENT_15"])/ 2.0)))>0,(((np.where(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])/ 2.0)>0, data["FLAG_DOCUMENT_15"], -2.0)) +(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0), data["NAME_GOODS_CATEGORY_Fitness"])))) +
0.099531*np.tanh(((((((np.where(((((12.33196353912353516)) >(data["NAME_GOODS_CATEGORY_Fitness"])) *1.) >0, data["cnt_FLAG_DOCUMENT_10"],(((8.0)) * 2.0)))* 2.0)) +(((np.tanh(( data["cnt_FLAG_DOCUMENT_15"])))-(data["NAME_GOODS_CATEGORY_Fitness"])))))/ 2.0)) +
0.099883*np.tanh(((((np.minimum(((data["ty__Real_estate_loan"])) ,(( data["ty__Loan_for_working_capital_replenishment"])))) +(((data["AMT_CREDIT_y"])*(data["ty__Loan_for_working_capital_replenishment"])))))-(np.tanh(((((( 0.58618438243865967)) <(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) *1.))))))+
0.099726*np.tanh(((( np.minimum(((data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])) ,(( np.where(np.where(-3.0>0, data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"],(( data["cc_bal_AMT_RECIVABLE"])-(1.0)))>0, data["NAME_GOODS_CATEGORY_Insurance"],(( data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])* 2.0)))))) >(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) *1.))+
0.072646*np.tanh(( -1.0*(((( np.where(data["AMT_CREDIT_y"]>0, data["AMT_GOODS_PRICE_x"], data["CNT_INSTALMENT_FUTURE"])) *(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))) +
0.099453*np.tanh(((np.maximum(((np.where(data["ty__Loan_for_working_capital_replenishment"]>0, data["AMT_CREDIT_y"], data["ty__Loan_for_working_capital_replenishment"]))),(( data["ty__Loan_for_working_capital_replenishment"])))) *(((np.tanh(( data["AMT_CREDIT_y"])))* 2.0)))) +
0.098828*np.tanh(np.minimum(((np.tanh(((( data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])*(( 10.98657798767089844))))))),(((((-1.0*(((((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))) <(np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(( data["ty__Real_estate_loan"])))))*1.))))) *(( 10.98657798767089844)))))))+
0.098281*np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])-(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Refusal_to_name_the_goal"])) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(((((((( data["ty__Interbank_credit"])*(data["AMT_GOODS_PRICE_x"])))* 2.0)) <(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0)))*1.))))))))) +
0.087691*np.tanh(((((data["AMT_GOODS_PRICE_x"])*(np.minimum(((((0.0)* 2.0))),(((((((data["NAME_GOODS_CATEGORY_House_Construction"])>(0.0)) *1.))-(np.minimum(((data["nans"])) ,(( data["AMT_GOODS_PRICE_x"])))))))))))* 2.0)) +
0.094138*np.tanh(np.where(data["te_HOUR_APPR_PROCESS_START_x"]>0,(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0),(( np.tanh(((((((data["AMT_CREDIT_x"])>(((((((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])* 2.0)) * 2.0)) <(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.))) *1.))* 2.0)))) / 2.0)))+
0.081321*np.tanh(np.minimum(((((data["HOUR_APPR_PROCESS_START_x"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) ,(( np.maximum(((( -1.0*(( np.where(1.0>0, data["HOUR_APPR_PROCESS_START_y"], data["HOUR_APPR_PROCESS_START_x"])))))) ,(( np.tanh(( data["HOUR_APPR_PROCESS_START_x"])))))))))+
0.088589*np.tanh(( -1.0*(( np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["EMERGENCYSTATE_MODE"],(((((( data["WALLSMATERIAL_MODE"])*(data["HOUR_APPR_PROCESS_START_x"])))*(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))*(( -1.0*(((( data["HOUR_APPR_PROCESS_START_x"])* 2.0)))))))))))+
0.067097*np.tanh(np.minimum(((np.where(np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))>0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"], data["cnt_FLAG_DOCUMENT_18"]))),(((-1.0*(((((((data["te_HOUR_APPR_PROCESS_START_x"])+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))<(-1.0)) *1.))))))))+
0.099961*np.tanh(((data["EXT_SOURCE_1"])*(((((((1.0)* 2.0)) +(data["EXT_SOURCE_1"])))-(( -1.0*(( np.minimum(((((data["EXT_SOURCE_1"])/ 2.0))),(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))))))))+
0.099062*np.tanh(((( 10.0)) *(((np.minimum(((((data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])*(data["EXT_SOURCE_1"])))) ,(((-1.0*(((((( data["EXT_SOURCE_1"])+(((( 0.0)>(data["EXT_SOURCE_1"])) *1.))))/ 2.0)))))))) / 2.0)))) +
0.099414*np.tanh(((np.maximum(((((data["te_DAYS_EMPLOYED"])*(( 0.0))))),(( np.tanh(( np.where(( 8.0)>0,(((data["cnt_FLAG_DOCUMENT_3"])>(data["te_ORGANIZATION_TYPE"])) *1.) , 0.0)))))))/ 2.0)) +
0.077765*np.tanh(np.tanh(( np.where(np.tanh(( data["te_NAME_CONTRACT_TYPE"])) >0, np.where(((( np.minimum(((data["te_NAME_CONTRACT_TYPE"])) ,(( -3.0)))) <(data["te_FLAG_DOCUMENT_8"])) *1.) >0, data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"], data["te_DAYS_EMPLOYED"]), data["cnt_NAME_INCOME_TYPE"])))) +
0.074795*np.tanh(((((((data["te_ORGANIZATION_TYPE"])*(np.tanh(( data["AMT_CREDIT_x"])))))/ 2.0)) *(data["AMT_CREDIT_x"])))+
0.079328*np.tanh(((data["te_OCCUPATION_TYPE"])*(np.minimum(((((data["cnt_FLAG_DOCUMENT_6"])/ 2.0))),(((-1.0*(( np.minimum(((3.0)) ,(( np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0, data["te_OCCUPATION_TYPE"],(( data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))))))))))))) +
0.099922*np.tanh(((np.where(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]>0,(-1.0*(((( 3.0)-(data["cnt_FLAG_DOCUMENT_3"]))))), data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])) *(((( np.where(data["cnt_FLAG_DOCUMENT_3"]>0, 3.0, data["AMT_CREDIT_x"])) <(data["cnt_FLAG_DOCUMENT_6"])) *1.))))+
0.099101*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["FLAG_DOCUMENT_6"],(( data["te_REGION_RATING_CLIENT"])*(( -1.0*(((((np.minimum(((data["te_REGION_RATING_CLIENT"])) ,(((( data["te_FLAG_DOCUMENT_6"])+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))))) <(-2.0)) *1.))))))))+
0.099140*np.tanh(((np.where(data["cnt_FLAG_DOCUMENT_6"]>0, data["te_FLAG_DOCUMENT_6"],(-1.0*(((-1.0*(( 3.0)))))))) *(((((((data["NAME_GOODS_CATEGORY_Insurance"])<(data["te_REGION_RATING_CLIENT_W_CITY"])) *1.))<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))))+
0.099609*np.tanh(np.where(data["FLAG_DOCUMENT_6"]>0, data["CNT_FAM_MEMBERS"],(((( data["te_REGION_RATING_CLIENT_W_CITY"])*(data["te_FLAG_DOCUMENT_6"])))*(data["te_DAYS_EMPLOYED"])))) +
0.099883*np.tanh(np.where(((data["te_NAME_HOUSING_TYPE"])-(1.0)) >0, data["SK_ID_BUREAU"], np.maximum(((np.where(data["te_NAME_HOUSING_TYPE"]>0, 1.0, 0.0))),(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))+
0.097304*np.tanh(np.minimum(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["te_NAME_CONTRACT_TYPE"])))* 2.0))),(((((((( data["cnt_NAME_HOUSING_TYPE"])>(((( data["NAME_CONTRACT_TYPE"])+(((data["te_NAME_CONTRACT_TYPE"])*(data["NAME_GOODS_CATEGORY_Insurance"])))) /2.0)))*1.))+(data["NAME_CONTRACT_TYPE"])) /2.0)))))+
0.058734*np.tanh(((np.where(((data["ty__Interbank_credit"])*(data["NAME_GOODS_CATEGORY_Insurance"])) >0, data["NAME_GOODS_CATEGORY_Insurance"], np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((-1.0*(( data["cnt_REGION_RATING_CLIENT_W_CITY"])))))))) *(((((( data["NAME_GOODS_CATEGORY_Insurance"])* 2.0)) >(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.))))+
0.098828*np.tanh(np.where(((data["cnt_REGION_RATING_CLIENT"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])) >0,(-1.0*(((( data["cnt_REGION_RATING_CLIENT"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"]))))),(-1.0*(((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])* 2.0)))))) +
0.098945*np.tanh(np.where(data["ty__Interbank_credit"]>0,(( data["NAME_GOODS_CATEGORY_Insurance"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( data["ty__Loan_for_working_capital_replenishment"])* 2.0)) -(data["NAME_GOODS_CATEGORY_Insurance"])))) +
0.063892*np.tanh(((np.minimum(((((np.maximum(((((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])-(1.0)))) ,(( np.maximum(((data["ty__Loan_for_working_capital_replenishment"])) ,(((-1.0*(( -3.0)))))))))) *(data["ty__Loan_for_working_capital_replenishment"])))) ,(( data["ty__Loan_for_working_capital_replenishment"])))) -(data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"])))+
0.099570*np.tanh(( -1.0*(((((np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( np.where(data["ty__Loan_for_working_capital_replenishment"]>0, data["REGION_RATING_CLIENT_W_CITY"], 0.0)))))+(((((( data["DAYS_CREDIT"])<(-3.0)) *1.))* 2.0)))/2.0)))))+
0.099179*np.tanh(np.minimum(((np.where(data["cc_bal_CNT_DRAWINGS_CURRENT"]>0, data["REGION_RATING_CLIENT_W_CITY"],(( data["REGION_RATING_CLIENT_W_CITY"])*(np.tanh(( data["cc_bal_CNT_DRAWINGS_CURRENT"]))))))),(( np.maximum(((-3.0)) ,(( 0.0)))))))+
0.071043*np.tanh(((np.maximum(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) ,(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(np.minimum(((((( -3.0)+(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) /2.0))),(((( -3.0)* 2.0)))))))))) *(data["te_REGION_RATING_CLIENT_W_CITY"])))+
0.099726*np.tanh(((( np.where(np.tanh(( data["NAME_GOODS_CATEGORY_Direct_Sales"])) >0, data["cc_bal_CNT_DRAWINGS_CURRENT"],(((( -2.0)+(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])))/ 2.0)))>(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) *1.))+
0.100000*np.tanh(((( np.minimum(((data["ty__Loan_for_working_capital_replenishment"])) ,(( data["cc_bal_CNT_DRAWINGS_CURRENT"])))) >(((( np.tanh(( np.tanh(( data["cc_bal_CNT_DRAWINGS_CURRENT"])))))<(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) *1.))) *1.))+
0.099961*np.tanh(((((( np.where(np.where(((( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.) >0, data["AMT_CREDIT_SUM_DEBT"], -3.0)>0, data["NAME_GOODS_CATEGORY_Insurance"], -3.0)) >(data["ty__Loan_for_working_capital_replenishment"])) *1.))* 2.0)) +
0.099961*np.tanh(np.tanh(( np.where(((( data["cc_bal_CNT_DRAWINGS_CURRENT"])+(np.tanh(( -2.0)))) /2.0)>0, data["cnt_REGION_RATING_CLIENT_W_CITY"],(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])>(3.0)) *1.))))) +
0.099570*np.tanh(np.where(data["DAYS_LAST_DUE_1ST_VERSION"]>0,(( data["inst_NUM_INSTALMENT_NUMBER"])*(np.minimum(((np.where(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"]>0, -1.0, data["NAME_CASH_LOAN_PURPOSE_Business_development"]))),(( data["NAME_GOODS_CATEGORY_Insurance"]))))), data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) +
0.099609*np.tanh(((((((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])>(2.0)) *1.))+(data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])))*(((( 0.0)<(((( -1.0*(((( 2.0)-(data["cc_bal_AMT_TOTAL_RECEIVABLE"])))))) * 2.0)))*1.))))+
0.099805*np.tanh(((data["cc_bal_AMT_DRAWINGS_CURRENT"])*(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(( -1.0*(((-1.0*(((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))>(((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((( 2.0)) * 2.0)))))*1.))))))))))))+
0.099687*np.tanh(((((data["DAYS_LAST_DUE_1ST_VERSION"])*(data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])))*(((((( 8.0)) *(data["ty__Loan_for_working_capital_replenishment"])))-(data["ty__Loan_for_working_capital_replenishment"])))))+
0.099648*np.tanh(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])>(np.maximum(((np.where(3.0>0,(( data["cc_bal_AMT_PAYMENT_CURRENT"])/ 2.0), data["NAME_CASH_LOAN_PURPOSE_Buying_a_holiday_home___land"]))),(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])* 2.0)))))) *1.))+
0.099648*np.tanh(((((((( data["cc_bal_AMT_PAYMENT_CURRENT"])*(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])))<(((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])+(np.minimum(((3.0)) ,(( -3.0)))))/2.0)))*1.))* 2.0)) +
0.094099*np.tanh(((((data["DAYS_LAST_DUE_1ST_VERSION"])*(( 2.0)))) *(np.where(data["ty__Loan_for_working_capital_replenishment"]>0, data["cc_bal_AMT_PAYMENT_CURRENT"],(( np.tanh(( data["DAYS_LAST_DUE_1ST_VERSION"])))*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) +
0.099609*np.tanh(np.where(((((((6.0)) * 2.0)) >(((data["ty__Loan_for_working_capital_replenishment"])-(( -1.0*(( data["FLAG_DOCUMENT_4"])))))))*1.) >0, np.maximum(((data["ty__Interbank_credit"])) ,(( data["ty__Loan_for_working_capital_replenishment"]))), -2.0)) +
0.100000*np.tanh(np.where(data["ty__Loan_for_working_capital_replenishment"]>0,(((2.0)<(data["AMT_CREDIT_x"])) *1.) , np.tanh(( np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(((2.0)<(data["AMT_CREDIT_x"])) *1.) , 0.0)))))+
0.099844*np.tanh(( -1.0*(( np.where(((((((data["nans"])+(1.0)) /2.0)) +(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)>0, data["NAME_GOODS_CATEGORY_Insurance"], data["AMT_GOODS_PRICE_x"])))))+
0.099766*np.tanh(((data["ELEVATORS_MODE"])*(((np.where(((np.where(( 6.0)>0, data["cc_bal_CNT_INSTALMENT_MATURE_CUM"], np.maximum(((0.0)) ,(((-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))))) / 2.0)>0, data["cc_bal_CNT_INSTALMENT_MATURE_CUM"], data["ty__Loan_for_working_capital_replenishment"])) * 2.0)))) +
0.099766*np.tanh(((((2.09928321838378906)) <(np.maximum(((((data["cc_bal_SK_ID_PREV"])*(-2.0)))) ,(( np.where(data["AMT_CREDIT_x"]>0, data["cc_bal_CNT_INSTALMENT_MATURE_CUM"], np.tanh(( 1.0)))))))) *1.))+
0.094685*np.tanh(((((data["AMT_CREDIT_x"])*(((data["cc_bal_SK_ID_PREV"])*(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))/ 2.0)) +
0.055021*np.tanh(( -1.0*(( np.maximum(((((( np.tanh(((((((( data["ty__Loan_for_working_capital_replenishment"])*(data["nans"])))/ 2.0)) +(data["ty__Interbank_credit"])))))<(data["ty__Loan_for_working_capital_replenishment"])) *1.))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))+
0.099414*np.tanh(np.where(((np.tanh(( np.maximum(((((((data["ty__Interbank_credit"])*(data["AMT_GOODS_PRICE_x"])))-(data["te_HOUSETYPE_MODE"])))) ,(( data["cnt_WALLSMATERIAL_MODE"])))))) / 2.0)>0,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["AMT_GOODS_PRICE_x"])) , data["AMT_GOODS_PRICE_x"])) +
0.081360*np.tanh(np.minimum(((0.0)) ,(((((((data["te_HOUSETYPE_MODE"])<(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])<(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))) *1.))-(((( data["cnt_WALLSMATERIAL_MODE"])+(data["AMT_GOODS_PRICE_x"])) /2.0)))))))+
0.099726*np.tanh(((np.maximum(((((data["te_FLAG_DOCUMENT_7"])+(-1.0)))) ,(((((-1.0*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["te_FLAG_DOCUMENT_10"])))))) *(-1.0)))))) * 2.0)) ) | Home Credit Default Risk |
1,020,569 | for dirname, _, filenames in os.walk('/kaggle/input'):
for filename in filenames:
print(os.path.join(dirname, filename))
<load_from_csv> | def GPIII(data):
return Output(0.100000*np.tanh(((( 6.72599077224731445)) -(np.where(((((( -1.0*(((((((((-1.0*(( data["EXT_SOURCE_3"])))) -(data["EXT_SOURCE_1"])))/ 2.0)) * 2.0)))))* 2.0)) * 2.0)>0,(11.37177181243896484), data["EXT_SOURCE_3"])))) +
0.100000*np.tanh(((data["DAYS_BIRTH"])+(((((((((data["NAME_CONTRACT_STATUS_Refused"])+(((data["DAYS_CREDIT"])+(((-3.0)*(data["EXT_SOURCE_1"])))))))* 2.0)) +(((data["te_OCCUPATION_TYPE"])* 2.0)))) * 2.0)))) +
0.100000*np.tanh(((data["te_OCCUPATION_TYPE"])-(((((data["EXT_SOURCE_3"])+(np.maximum(((np.maximum(((data["EXT_SOURCE_2"])) ,(((((( data["EXT_SOURCE_3"])+(((data["EXT_SOURCE_2"])* 2.0)))) * 2.0)))))) ,(( -1.0)))))) * 2.0)))) +
0.100000*np.tanh(((data["DAYS_CREDIT"])-(((( 5.0)) *(np.tanh(((((( data["EXT_SOURCE_2"])* 2.0)) -(((data["te_ORGANIZATION_TYPE"])-(((data["EXT_SOURCE_3"])* 2.0)))))))))))) +
0.100000*np.tanh(((((np.tanh(( data["te_OCCUPATION_TYPE"])))+(((((( data["REGION_RATING_CLIENT_W_CITY"])+(((data["DAYS_BIRTH"])+(data["REGION_RATING_CLIENT_W_CITY"])))) /2.0)) -(((data["EXT_SOURCE_3"])* 2.0)))))) -(data["EXT_SOURCE_1"])))+
0.100000*np.tanh(((((data["NAME_CONTRACT_STATUS_Refused"])-(data["EXT_SOURCE_1"])))-(np.where(((((data["te_NAME_EDUCATION_TYPE"])-(data["EXT_SOURCE_1"])))-(data["EXT_SOURCE_3"])) >0,(( data["EXT_SOURCE_3"])* 2.0), 3.0)))) +
0.100000*np.tanh(((((data["cc_bal_AMT_BALANCE"])+(((data["cc_bal_AMT_RECIVABLE"])+(((data["NAME_PRODUCT_TYPE_walk_in"])-(((data["EXT_SOURCE_3"])+(((data["EXT_SOURCE_2"])* 2.0)))))))))) * 2.0)) +
0.100000*np.tanh(((-2.0)+(((((np.where(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"]>0, 3.0,(-1.0*(((( data["EXT_SOURCE_2"])+(data["EXT_SOURCE_1"])))))))-(data["EXT_SOURCE_3"])))* 2.0)))) +
0.100000*np.tanh(((((((((data["te_NAME_EDUCATION_TYPE"])-(data["EXT_SOURCE_2"])))-(((data["EXT_SOURCE_3"])/ 2.0)))) +(np.tanh(( np.where(data["cnt_CODE_GENDER"]>0, -2.0,(3.21376276016235352)))))))* 2.0)) +
0.100000*np.tanh(np.where(data["EXT_SOURCE_1"]>0, -2.0,(( data["te_ORGANIZATION_TYPE"])-(((((np.minimum(((data["FLAG_DOCUMENT_3"])) ,(( np.minimum(((data["te_ORGANIZATION_TYPE"])) ,(( 2.0)))))))-(data["EXT_SOURCE_2"])))*(-3.0)))))) +
0.100000*np.tanh(((((data["NAME_PRODUCT_TYPE_walk_in"])-(((data["DAYS_FIRST_DRAWING"])-(((data["cc_bal_AMT_TOTAL_RECEIVABLE"])* 2.0)))))) +(((((data["cc_bal_AMT_TOTAL_RECEIVABLE"])+(( -1.0*(( data["EXT_SOURCE_3"])))))) -(data["CODE_REJECT_REASON_XAP"])))))+
0.100000*np.tanh(((((((data["te_REGION_RATING_CLIENT_W_CITY"])+(data["cnt_FLAG_OWN_CAR"])))+(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))+(np.maximum(((((((((data["ty__Microloan"])* 2.0)) +(data["REGION_RATING_CLIENT_W_CITY"])))* 2.0))),(( data["CNT_INSTALMENT_FUTURE"])))))) +
0.100000*np.tanh(((((data["DAYS_LAST_PHONE_CHANGE"])+(((( -1.0*(((0.0)))))+(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])-(((data["cnt_CODE_GENDER"])+(data["EXT_SOURCE_3"])))))))))+(((data["NAME_YIELD_GROUP_high"])-(data["EXT_SOURCE_2"])))))+
0.100000*np.tanh(((((((data["DEF_30_CNT_SOCIAL_CIRCLE"])-(((( -1.0*(((((14.40037250518798828)) *(data["ty__Microloan"])))))) +(data["NAME_CONTRACT_TYPE"])))))-(data["EXT_SOURCE_2"])))-(data["SK_ID_PREV_y"])))+
0.100000*np.tanh(((((data["CNT_INSTALMENT_FUTURE"])-(((((data["cnt_REG_CITY_NOT_LIVE_CITY"])-(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))-(((data["CNT_PAYMENT"])-(data["EXT_SOURCE_2"])))))))-(data["ca__Closed"])))+
0.100000*np.tanh(((((((((data["te_NAME_CONTRACT_TYPE"])-(data["AMT_ANNUITY"])))-(1.0)))+(( -1.0*(((-1.0*(((( 0.0)-(((data["SK_ID_PREV_y"])* 2.0)))))))))))) +(data["te_ORGANIZATION_TYPE"])))+
0.100000*np.tanh(((data["NAME_CONTRACT_STATUS_Refused"])+(((((np.minimum(((data["te_NAME_EDUCATION_TYPE"])) ,(((( np.maximum(((data["NAME_YIELD_GROUP_high"])) ,(( data["ty__Microloan"])))) +(data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))) * 2.0)) -(((data["PRODUCT_COMBINATION_POS_industry_with_interest"])* 2.0)))))) +
0.100000*np.tanh(((((data["CNT_PAYMENT"])+(((data["cc_bal_CNT_DRAWINGS_CURRENT"])+(((((data["cc_bal_CNT_DRAWINGS_CURRENT"])-(data["RATE_DOWN_PAYMENT"])))-(( -1.0*(( data["ty__Microloan"])))))))))) +(data["avg_buro_buro_bal_status_1"])))+
0.100000*np.tanh(((data["DAYS_ID_PUBLISH"])-(((((data["cnt_NAME_FAMILY_STATUS"])+(((data["DAYS_FIRST_DRAWING"])+(np.tanh(( data["inst_NUM_INSTALMENT_VERSION"])))))))+(data["AMT_ANNUITY"])))))+
0.100000*np.tanh(((np.minimum(((np.where(data["NAME_YIELD_GROUP_low_action"]>0, -3.0, np.maximum(((data["NAME_CLIENT_TYPE_New"])) ,(( data["DEF_60_CNT_SOCIAL_CIRCLE"])))))) ,(((7.0)))))+(data["te_CODE_GENDER"])))+
0.100000*np.tanh(((data["AMT_ANNUITY_x"])+(((((np.maximum(((data["AMT_ANNUITY_x"])) ,(((( data["CNT_INSTALMENT_FUTURE"])+(data["AMT_ANNUITY_x"])))))) * 2.0)) +(((( data["te_FLAG_DOCUMENT_3"])+(((data["cnt_FLAG_OWN_CAR"])* 2.0)))/2.0)))))) +
0.100000*np.tanh(((((((((((data["NAME_YIELD_GROUP_high"])+(((( 8.0)) *(((data["ty__Microloan"])* 2.0)))))/2.0)) -(((data["AMT_ANNUITY"])-(data["SK_DPD"])))))+(data["avg_buro_buro_bal_status_1"])))+(data["te_WALLSMATERIAL_MODE"])) /2.0)) +
0.100000*np.tanh(((((((( data["CNT_PAYMENT"])+(( -1.0*(( data["ty__Mortgage"])))))) +(data["cnt_DAYS_BIRTH"])) /2.0)) +(((((((( data["PRODUCT_COMBINATION_Cash_X_Sell__high"])+(data["NAME_PAYMENT_TYPE_XNA"])))+(data["CNT_PAYMENT"])) /2.0)) +(data["CODE_REJECT_REASON_SCOFR"])))))+
0.100000*np.tanh(( -1.0*(( np.where(( -1.0*(((-1.0*(( data["PRODUCT_COMBINATION_Cash_X_Sell__low"])))))) >0, data["PRODUCT_COMBINATION_Cash_X_Sell__low"],(-1.0*(((((( data["inst_AMT_PAYMENT"])*(((data["SK_ID_PREV_y"])* 2.0)))) * 2.0)))))))))+
0.100000*np.tanh(((data["CODE_REJECT_REASON_HC"])+(((((np.where(data["OWN_CAR_AGE"]>0, data["NAME_YIELD_GROUP_low_action"], data["cnt_FLAG_OWN_CAR"])) -(data["PRODUCT_COMBINATION_Cash_Street__low"])))+(((data["OWN_CAR_AGE"])-(data["NAME_YIELD_GROUP_low_action"])))))))+
0.099961*np.tanh(np.where(data["ty__Mortgage"]>0, -2.0,(((( data["SK_DPD"])-(((data["CODE_GENDER"])-(data["CNT_PAYMENT"])))))+(( -1.0*(( data["inst_NUM_INSTALMENT_VERSION"])))))))+
0.100000*np.tanh(((data["DEF_30_CNT_SOCIAL_CIRCLE"])-(((data["CHANNEL_TYPE_Channel_of_corporate_sales"])-(((((((((data["FLAG_DOCUMENT_18"])*(data["cnt_FLAG_DOCUMENT_18"])))+(data["DEF_60_CNT_SOCIAL_CIRCLE"])) /2.0)) <(((data["SK_DPD"])* 2.0)))*1.))))))+
0.100000*np.tanh(((( np.minimum(((((((data["cnt_FLAG_DOCUMENT_18"])-(((((( -1.0)/ 2.0)) <(data["inst_SK_ID_PREV"])) *1.))))/ 2.0))),(((( data["cnt_FLAG_DOCUMENT_16"])/ 2.0)))))+(( -1.0*(( data["inst_SK_ID_PREV"])))))/2.0)) +
0.099961*np.tanh(((((data["ty__Microloan"])+(np.minimum(((((((((( data["cnt_FLAG_DOCUMENT_18"])-(data["RATE_DOWN_PAYMENT"])))-(data["CHANNEL_TYPE_Channel_of_corporate_sales"])))+(data["cnt_WEEKDAY_APPR_PROCESS_START"])) /2.0))),(( data["cnt_FLAG_DOCUMENT_18"])))))) * 2.0)) +
0.100000*np.tanh(((( data["SK_DPD"])>(((np.minimum(((((data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0))),(((-1.0*(( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])))))))/ 2.0)))*1.))+
0.100000*np.tanh(np.minimum(((((data["AMT_ANNUITY_x"])-(np.where(( -1.0*(( data["CHANNEL_TYPE_Channel_of_corporate_sales"])))>0, data["FLAG_DOCUMENT_16"], 1.0))))),(((((( 2.0)-(data["cnt_FLAG_DOCUMENT_16"])))-(data["AMT_ANNUITY_x"])))))) +
0.098789*np.tanh(((((( data["te_NAME_FAMILY_STATUS"])+(((np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(((( data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0)))))+(((data["NAME_SELLER_INDUSTRY_Connectivity"])-(((data["cnt_NAME_FAMILY_STATUS"])-(data["CNT_INSTALMENT_FUTURE"])))))))))+(data["cnt_ORGANIZATION_TYPE"])) /2.0)) +
0.100000*np.tanh(( -1.0*(((((( -1.0*(((( data["SK_DPD"])+(( -1.0*(((( data["Active"])+(data["AMT_CREDIT_SUM_LIMIT"])))))))))))+(((( data["MONTHS_BALANCE"])+(np.maximum(((data["CHANNEL_TYPE_Channel_of_corporate_sales"])) ,(( data["PRODUCT_COMBINATION_Cash_X_Sell__low"])))))/2.0)))/2.0)))))+
0.099961*np.tanh(((((( np.where(-1.0>0, 3.0, data["PRODUCT_COMBINATION_Cash_Street__low"])) <(data["ty__Car_loan"])) *1.))+(((( -1.0*(( np.maximum(((data["CODE_REJECT_REASON_SCO"])) ,(((( data["ty__Car_loan"])-(data["cnt_FLAG_DOCUMENT_13"])))))))))/ 2.0)))) +
0.099883*np.tanh(((((( data["DAYS_REGISTRATION"])+(data["ca__Sold"])))+(np.minimum(((( 4.0))),(((-1.0*(((( data["FLOORSMAX_MEDI"])+(((( data["DAYS_REGISTRATION"])>(np.maximum(((data["FLOORSMAX_MEDI"])) ,(( -2.0)))))*1.))))))))))) /2.0)) +
0.100000*np.tanh(((np.minimum(((data["avg_buro_buro_bal_status_1"])) ,(( data["cnt_FLAG_DOCUMENT_18"])))) -(( -1.0*(( np.maximum(((((( -1.0*(((((-1.0)>(((data["inst_AMT_PAYMENT"])* 2.0)))*1.))))) *(-3.0)))) ,(( data["cc_bal_CNT_DRAWINGS_CURRENT"])))))))))+
0.100000*np.tanh(((( np.where(data["NFLAG_INSURED_ON_APPROVAL"]>0, data["CNT_PAYMENT"],(((-1.0)+(np.where(( 9.0)>0, data["cnt_FLAG_DOCUMENT_2"], data["CNT_PAYMENT"])))/2.0)))+(( -1.0*(( np.maximum(((data["ty__Mortgage"])) ,(( data["PRODUCT_COMBINATION_Cash_Street__low"])))))))) /2.0)) +
0.100000*np.tanh(((((((((data["cnt_FLAG_PHONE"])+(data["cnt_FLAG_DOCUMENT_13"])) /2.0)) +(((data["cnt_CNT_CHILDREN"])*(((( -1.0)+(((( -3.0)>(((-3.0)/ 2.0)))*1.))) /2.0)))))/2.0)) -(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))+
0.099922*np.tanh(((((np.where(((( data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])>(np.maximum(((data["cnt_FLAG_DOCUMENT_2"])) ,(( data["cc_bal_AMT_TOTAL_RECEIVABLE"])))))*1.) >0, 0.0, data["cc_bal_AMT_RECIVABLE"])) / 2.0)) +(((np.minimum(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) ,(( data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])))) / 2.0)))) +
0.093748*np.tanh(((np.tanh(( np.maximum(((((( np.minimum(((data["CHANNEL_TYPE_AP___Cash_loan_"])) ,(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))) +(data["FLAG_WORK_PHONE"])) /2.0))),(( np.tanh(((( data["NAME_GOODS_CATEGORY_Insurance"])+(data["CHANNEL_TYPE_AP___Cash_loan_"])))))))))) -(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])/ 2.0)))) +
0.100000*np.tanh(np.tanh(((-1.0*(( np.where(((( np.maximum(((data["FLAG_DOCUMENT_2"])) ,(( data["cnt_FLAG_EMP_PHONE"])))) <(( -1.0*(( data["DAYS_EMPLOYED"])))))*1.) >0,(6.0), -1.0)))))))+
0.099922*np.tanh(np.tanh(((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])-(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))-(((((( 1.0)+(data["te_LIVE_REGION_NOT_WORK_REGION"])) /2.0)) +(((data["DAYS_ENDDATE_FACT"])/ 2.0)))))))) +
0.099844*np.tanh(np.where(((data["cc_bal_AMT_BALANCE"])/ 2.0)>0,(((data["FLAG_DOCUMENT_2"])<(((data["cc_bal_AMT_TOTAL_RECEIVABLE"])-(((( data["CNT_INSTALMENT_FUTURE"])>(-1.0)) *1.))))) *1.) , data["CNT_INSTALMENT_FUTURE"])) +
0.100000*np.tanh(((np.minimum(((np.minimum(((((( data["AMT_ANNUITY_x"])>(data["AMT_REQ_CREDIT_BUREAU_QRT"])) *1.))) ,(((-1.0*(( data["AMT_REQ_CREDIT_BUREAU_QRT"])))))))) ,(( data["AMT_ANNUITY_x"])))) -(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(( data["AMT_ANNUITY_x"])* 2.0), data["AMT_REQ_CREDIT_BUREAU_QRT"])))) +
0.099961*np.tanh(np.where(((((-1.0*(( data["AMT_GOODS_PRICE_x"])))) <(((data["AMT_GOODS_PRICE_x"])*(data["AMT_GOODS_PRICE_x"])))) *1.) >0, -1.0,(((data["AMT_GOODS_PRICE_x"])+(( 1.39743840694427490)))/2.0)))+
0.088081*np.tanh(( -1.0*(((( data["te_REG_REGION_NOT_LIVE_REGION"])+(((( data["AMT_CREDIT_SUM_LIMIT"])+(np.minimum(((data["te_FLAG_OWN_REALTY"])) ,(((((((((data["NAME_GOODS_CATEGORY_Insurance"])-(data["RATE_DOWN_PAYMENT"])))<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))+(data["RATE_DOWN_PAYMENT"])))))))/2.0)))))))+
0.100000*np.tanh(((((((((( data["inst_DAYS_ENTRY_PAYMENT"])+(data["cnt_FLAG_DOCUMENT_2"])) /2.0)) -(data["AMT_CREDIT_x"])))*(data["MONTHS_BALANCE"])))+(np.minimum(((0.0)) ,(((( data["AMT_CREDIT_x"])* 2.0)))))))+
0.100000*np.tanh(((((((data["avg_buro_buro_bal_status_1"])+(data["CNT_INSTALMENT_FUTURE"])) /2.0)) +(( -1.0*(((-1.0*(((( data["CNT_INSTALMENT_FUTURE"])*(((data["SK_ID_PREV_x"])* 2.0)))))))))))/2.0)) +
0.100000*np.tanh(((((np.where(data["SK_DPD"]>0, data["SK_DPD"],(((((data["SK_DPD"])-(data["NAME_GOODS_CATEGORY_Insurance"])))>(((data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0)))*1.))) * 2.0)) * 2.0)) +
0.099922*np.tanh(((((((data["cc_bal_SK_DPD_DEF"])*(( 14.15333747863769531)))) +(((((( data["cnt_NAME_INCOME_TYPE"])+(np.minimum(((data["cc_bal_SK_DPD_DEF"])) ,(((-1.0*(( data["inst_NUM_INSTALMENT_VERSION"])))))))) /2.0)) / 2.0)))) +(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+
0.099883*np.tanh(((((( data["SK_ID_PREV_x"])>(np.tanh(( np.where(data["SK_ID_PREV_x"]>0, data["SK_ID_PREV_x"], data["NAME_SELLER_INDUSTRY_XNA"])))))*1.))*(((data["NAME_SELLER_INDUSTRY_XNA"])/ 2.0)))) +
0.099883*np.tanh(((((((((data["NAME_YIELD_GROUP_middle"])>(2.0)) *1.))* 2.0)) +(( -1.0*(((((((( data["PRODUCT_COMBINATION_Cash_X_Sell__low"])+(data["avg_buro_buro_bal_status_0"])) /2.0)) +(data["ty__Mortgage"])) /2.0)))))) /2.0)) +
0.099922*np.tanh(((( data["DAYS_EMPLOYED"])+(np.tanh(((((((((np.where(data["DAYS_EMPLOYED"]>0, data["FLAG_DOCUMENT_2"], data["cnt_DAYS_EMPLOYED"])) <(data["DAYS_EMPLOYED"])) *1.))* 2.0)) *(data["FLAG_EMP_PHONE"])))))) /2.0)) +
0.099883*np.tanh(((( data["cnt_FLAG_DOCUMENT_2"])+(np.minimum(((( -1.0*(( np.where(((( data["cnt_DAYS_BIRTH"])<(-1.0)) *1.) >0,(3.64491915702819824), data["FLAG_DOCUMENT_16"])))))) ,(((((-1.0*(( data["CHANNEL_TYPE_Channel_of_corporate_sales"])))) *(data["CHANNEL_TYPE_Channel_of_corporate_sales"])))))))/2.0)) +
0.099922*np.tanh(np.where(data["ca__Active"]>0, np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(((-1.0*(( data["te_OCCUPATION_TYPE"])))))) ,(( np.minimum(((data["cnt_FLAG_DOCUMENT_13"])) ,(( data["cnt_HOUR_APPR_PROCESS_START_x"])))) * 2.0)))+
0.096483*np.tanh(( -1.0*(( np.maximum(((((( data["DAYS_ID_PUBLISH"])<(-1.0)) *1.))) ,(( data["YEARS_BUILD_MODE"])))))))+
0.100000*np.tanh(( -1.0*(((((((data["EXT_SOURCE_1"])/ 2.0)) >(np.tanh(( np.tanh(( data["EXT_SOURCE_1"])))))) *1.))))) +
0.099805*np.tanh(( -1.0*(((((data["cnt_NAME_HOUSING_TYPE"])+(np.minimum(((data["WEEKDAY_APPR_PROCESS_START_SATURDAY"])) ,(( np.where(data["cnt_NAME_HOUSING_TYPE"]>0, data["EXT_SOURCE_1"],(( 2.0)* 2.0)))))))/2.0)))))+
0.076749*np.tanh(((((((np.tanh(((((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])) /2.0)) <(data["SK_ID_PREV_x"])) *1.))))-(((data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])/ 2.0)))) +(data["ty__Microloan"])))/ 2.0)) +
0.100000*np.tanh(((( np.tanh(( data["inst_AMT_PAYMENT"])))<(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["cc_bal_SK_DPD_DEF"])))+(((( data["FLAG_DOCUMENT_2"])+(-1.0)) /2.0)))))*1.))+
0.100000*np.tanh(((( np.tanh(((( 1.0)-(np.maximum(((data["REGION_POPULATION_RELATIVE"])) ,(((((8.08363628387451172)) *(( -1.0*(( data["REGION_POPULATION_RELATIVE"])))))))))))))+(( -1.0*(( data["FLAG_DOCUMENT_14"])))))/2.0)) +
0.099883*np.tanh(( -1.0*(((((data["avg_buro_buro_bal_status_0"])+(((((( data["cnt_FLAG_DOCUMENT_13"])<(( -1.0*(( data["avg_buro_buro_bal_status_0"])))))*1.))+(data["ty__Car_loan"])))) /2.0)))))+
0.099805*np.tanh(( -1.0*(((((data["cc_bal_cc_bal_status__Sent_proposal"])+(((( -1.0)+(((( np.minimum(((( -1.0*(( data["NAME_TYPE_SUITE_Unaccompanied"]))))),(( data["cc_bal_SK_DPD_DEF"])))) <(data["FLAG_DOCUMENT_2"])) *1.))) /2.0)))/2.0)))))+
0.099687*np.tanh(np.maximum(((data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) ,(((((((((data["DAYS_FIRST_DUE"])/ 2.0)) -(np.minimum(((data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])) ,(( data["te_NAME_EDUCATION_TYPE"])))))) +(((data["HOUSETYPE_MODE"])-(( -1.0*(( -1.0)))))))/2.0)))))+
0.099961*np.tanh(np.minimum(((((data["cc_bal_CNT_DRAWINGS_CURRENT"])-(data["FLAG_DOCUMENT_11"])))) ,(((((-1.0*(((((((( np.maximum(((data["cnt_FLAG_DOCUMENT_2"])) ,(( data["cnt_FLAG_DOCUMENT_2"])))) <(data["cc_bal_SK_DPD_DEF"])) *1.))<(data["cc_bal_CNT_DRAWINGS_CURRENT"])) *1.))))) +(data["cc_bal_CNT_DRAWINGS_CURRENT"])))))) +
0.099922*np.tanh(( -1.0*(( np.maximum(((((( np.maximum(((np.tanh(((((-3.0)+(( -1.0*(( 0.0)))))/2.0))))),(( data["inst_NUM_INSTALMENT_VERSION"])))) +(((-3.0)/ 2.0)))/2.0))),(( data["cc_bal_AMT_DRAWINGS_POS_CURRENT"])))))))+
0.100000*np.tanh(np.minimum(((np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( data["NAME_GOODS_CATEGORY_Furniture"]))))),(((((((( data["SK_ID_PREV_x"])/ 2.0)) * 2.0)) -(((-3.0)+(data["NAME_GOODS_CATEGORY_Furniture"])))))))) +
0.086010*np.tanh(((np.minimum(((( -1.0*(((((((data["AMT_REQ_CREDIT_BUREAU_MON"])*(((( data["NAME_GOODS_CATEGORY_Gardening"])+(data["cnt_FLAG_DOCUMENT_15"])) /2.0)))) <(data["NAME_GOODS_CATEGORY_Gardening"])) *1.)))))),(((((2.42437767982482910)) -(data["AMT_REQ_CREDIT_BUREAU_MON"])))))) * 2.0)) +
0.099726*np.tanh(((((((((( 7.96912765502929688)) <(data["ca__Sold"])) *1.))+(np.tanh(((((((((( data["cnt_FLAG_DOCUMENT_15"])+(np.tanh(( data["REG_CITY_NOT_LIVE_CITY"])))) /2.0)) +(np.tanh(( data["REG_CITY_NOT_LIVE_CITY"])))) /2.0)) / 2.0)))))/2.0)) * 2.0)) +
0.097929*np.tanh(np.where(((( np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(( np.minimum(((2.0)) ,(( 0.0)))))))<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.) >0, 1.0,(((np.maximum(((2.0)) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))) <(data["CNT_INSTALMENT_FUTURE"])) *1.))) +
0.099883*np.tanh(np.minimum(((((((data["PRODUCT_COMBINATION_Cash_Street__low"])*(data["inst_AMT_PAYMENT"])))/ 2.0))),(( np.where(((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)>0,(-1.0*(( data["cnt_FLAG_DOCUMENT_2"]))), data["cnt_FLAG_DOCUMENT_18"])))))+
0.068308*np.tanh(((((((np.maximum(((((((((-2.0)>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))+(data["SK_ID_PREV_x"])) /2.0))),(( data["HOUR_APPR_PROCESS_START_y"])))) *(data["SK_ID_PREV_x"])))/ 2.0)) +(data["NONLIVINGAPARTMENTS_MODE"])))+
0.090113*np.tanh(np.where(((((((((data["EXT_SOURCE_2"])-(-2.0)))<(((((data["FLAG_DOCUMENT_2"])/ 2.0)) * 2.0)))*1.))+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)>0, 3.0,(( data["EXT_SOURCE_2"])* 2.0)))+
0.099961*np.tanh(((((((( data["NAME_GOODS_CATEGORY_House_Construction"])+(data["NAME_CONTRACT_STATUS_Approved"])) /2.0)) / 2.0)) -(((( -2.0)>(((-1.0)-(np.maximum(((data["EXT_SOURCE_2"])) ,(( data["AMT_REQ_CREDIT_BUREAU_YEAR"])))))))*1.))))+
0.099844*np.tanh(((((((((data["EXT_SOURCE_2"])<(((-1.0)* 2.0)))*1.))* 2.0)) +(((( -1.0*(((((data["EXT_SOURCE_2"])>(((((12.74159717559814453)) >(data["EXT_SOURCE_2"])) *1.))) *1.))))) * 2.0)))/2.0)) +
0.086127*np.tanh(((((( data["SK_ID_PREV_x"])/ 2.0)) +(((( np.minimum(((np.minimum(((((data["FLAG_DOCUMENT_2"])-(data["nans"])))) ,(( data["cnt_FLAG_DOCUMENT_13"]))))),(( data["NAME_GOODS_CATEGORY_House_Construction"])))) +(np.tanh(( data["PRODUCT_COMBINATION_Cash"])))) /2.0)))/2.0)) +
0.098320*np.tanh(((((((( np.minimum(((3.0)) ,(( data["cc_bal_SK_DPD_DEF"])))) +(((( data["cnt_FLAG_WORK_PHONE"])<(np.maximum(((data["PRODUCT_COMBINATION_Cash_X_Sell__low"])) ,(((( data["cnt_FLAG_DOCUMENT_2"])/ 2.0)))))) *1.))) /2.0)) -(((data["PRODUCT_COMBINATION_Cash_X_Sell__low"])/ 2.0)))) / 2.0)) +
0.099922*np.tanh(((((((((np.tanh(( -1.0)))+(data["AMT_CREDIT_y"])) /2.0)) >(((((((data["AMT_CREDIT_y"])+(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])* 2.0)))/2.0)) >(data["FLAG_DOCUMENT_2"])) *1.))) *1.))-(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])/ 2.0)))) +
0.094685*np.tanh(((((data["cc_bal_AMT_TOTAL_RECEIVABLE"])*(data["cc_bal_CNT_DRAWINGS_CURRENT"])))-(((( data["cc_bal_AMT_TOTAL_RECEIVABLE"])<(np.maximum(((((data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])-(((data["cc_bal_AMT_TOTAL_RECEIVABLE"])-(data["cc_bal_AMT_TOTAL_RECEIVABLE"])))))) ,(( data["PRODUCT_COMBINATION_Cash_Street__low"])))))*1.))))+
0.079015*np.tanh(((data["cnt_FLAG_DOCUMENT_14"])+(((np.where(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])*(data["DAYS_FIRST_DRAWING"])) >0,(8.0),(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])*(data["DAYS_FIRST_DRAWING"])))) / 2.0)))) +
0.071004*np.tanh(((((-1.0*(( np.minimum(((data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])) ,(( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))))))+(( -1.0*(( np.where(data["NAME_PORTFOLIO_Cards"]>0, data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"], np.tanh(((((2.0)>(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])) *1.))))))))) /2.0)) +
0.099961*np.tanh(np.tanh(((((( data["cnt_FLAG_DOCUMENT_15"])-(np.minimum(((data["EXT_SOURCE_1"])) ,(((( data["ENTRANCES_MEDI"])/ 2.0)))))))-(((( 0.0)>(data["EXT_SOURCE_1"])) *1.))))))+
0.097343*np.tanh(np.maximum(((((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0))),(((((data["NAME_GOODS_CATEGORY_Insurance"])<(((data["NAME_GOODS_CATEGORY_Construction_Materials"])-(( -1.0*(((((((((data["AMT_CREDIT_y"])* 2.0)) * 2.0)) +(-3.0)) /2.0)))))))) *1.))))) +
0.100000*np.tanh(( -1.0*(((((( data["inst_AMT_PAYMENT"])+(((((data["CNT_INSTALMENT"])* 2.0)) *(data["Active"])))))*(np.maximum(((data["Active"])) ,(((( data["cnt_FLAG_DOCUMENT_2"])+(data["FLAG_DOCUMENT_2"])))))))))))+
0.083353*np.tanh(np.minimum(((((( 1.0)+(data["CODE_GENDER"])) /2.0))),(((((np.where(data["cnt_FLAG_DOCUMENT_2"]>0,(((data["cnt_FLAG_DOCUMENT_2"])<(data["RATE_DOWN_PAYMENT"])) *1.) , data["CNT_PAYMENT"])) <(data["CNT_INSTALMENT_FUTURE"])) *1.))))) +
0.100000*np.tanh(((np.minimum(((1.0)) ,(( np.where(data["inst_AMT_PAYMENT"]>0,(( data["Completed"])* 2.0),(( data["PRODUCT_COMBINATION_POS_household_without_interest"])-(data["FLAG_DOCUMENT_2"])))))))/ 2.0)) +
0.099844*np.tanh(((( -1.0*(( np.minimum(((((data["inst_AMT_PAYMENT"])*(np.maximum(((((( data["inst_AMT_PAYMENT"])>(2.0)) *1.))) ,(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])/ 2.0)))))))) ,(((((data["inst_AMT_PAYMENT"])+(data["avg_buro_MONTHS_BALANCE"])) /2.0)))))))) / 2.0)) +
0.099844*np.tanh(((((((data["cu__currency_3"])+(np.maximum(((np.tanh(( data["FLAG_DOCUMENT_2"])))) ,(((((3.0)<(data["CNT_INSTALMENT_FUTURE"])) *1.))))))) * 2.0)) +(( -1.0*(((((data["cc_bal_SK_DPD_DEF"])<(data["cu__currency_3"])) *1.))))))) +
0.084603*np.tanh(((( -1.0*(((((data["CHANNEL_TYPE_Channel_of_corporate_sales"])+(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])+(((( data["Active"])+(((data["WEEKDAY_APPR_PROCESS_START_MONDAY"])*(-2.0)))) /2.0)))))/2.0)))))/ 2.0)) +
0.099961*np.tanh(((((( data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])+(((( data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])+(((( data["DAYS_LAST_DUE"])+(data["NAME_GOODS_CATEGORY_Insurance"])) /2.0)))/2.0)))/2.0)) +(np.where(data["cc_bal_SK_DPD_DEF"]>0, data["DAYS_LAST_DUE"], data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])))) +
0.099766*np.tanh(np.minimum(((data["cnt_FLAG_DOCUMENT_13"])) ,(( np.where(( -1.0*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])-(data["cc_bal_cc_bal_status__Sent_proposal"])))))>0,(( np.maximum(((2.0)) ,(((11.47983264923095703)))))-(data["cc_bal_cc_bal_status__Sent_proposal"])) ,(( data["FLAG_DOCUMENT_13"])* 2.0)))))) +
0.099922*np.tanh(((( -1.0*(((((((1.0)+(data["inst_AMT_PAYMENT"])) /2.0)) / 2.0)))))*(np.where(data["cc_bal_SK_DPD_DEF"]>0,(( data["NAME_CLIENT_TYPE_Refreshed"])-(1.0)) , data["MONTHS_BALANCE"])))) +
0.085737*np.tanh(np.where(0.0>0, 1.0,(((((data["cc_bal_SK_DPD_DEF"])+(((data["NAME_GOODS_CATEGORY_Insurance"])+(( -1.0*(( np.tanh(( data["NAME_CLIENT_TYPE_Refreshed"])))))))))) +(((((data["AMT_CREDIT_y"])/ 2.0)) / 2.0)))/2.0)))+
0.099805*np.tanh(np.minimum(((((((data["cnt_FLAG_EMAIL"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+(3.0)))) ,(( np.maximum(((data["NAME_SELLER_INDUSTRY_Auto_technology"])) ,(((((((data["DAYS_FIRST_DUE"])-(2.0)))+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)))))))) +
0.100000*np.tanh(((((((np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["FLAG_DOCUMENT_18"], data["cnt_FLAG_DOCUMENT_18"])) * 2.0)) / 2.0)) +(np.tanh(((((((10.0)) *(data["cc_bal_SK_DPD_DEF"])))* 2.0)))))) +
0.099922*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(((data["FLAG_DOCUMENT_18"])>(( 1.66978633403778076)))*1.) ,(((( data["FLAG_DOCUMENT_2"])-(np.maximum(((((((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])* 2.0)) -(2.0)))) ,(( data["FLAG_DOCUMENT_18"])))))) / 2.0)))+
0.099687*np.tanh(((((((data["NAME_PORTFOLIO_Cards"])>(((data["cc_bal_SK_ID_PREV"])*(((data["cc_bal_SK_ID_PREV"])* 2.0)))))*1.))+(data["cc_bal_SK_ID_PREV"])) /2.0)) +
0.099648*np.tanh(((((np.minimum(((data["cnt_FLAG_DOCUMENT_18"])) ,(((((( data["cnt_FLAG_DOCUMENT_18"])*(data["FLAG_DOCUMENT_18"])))-(((((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])* 2.0)) +(data["NAME_TYPE_SUITE_Unaccompanied"])) /2.0)))))))/ 2.0)) / 2.0)) +
0.099805*np.tanh(( -1.0*(( np.maximum(((((((data["ty__Mortgage"])*(((data["cnt_FLAG_DOCUMENT_15"])* 2.0)))) * 2.0))),(((((data["NAME_GOODS_CATEGORY_Photo___Cinema_Equipment"])>(((( 2.0)+(data["ty__Mortgage"])) /2.0)))*1.))))))))+
0.100000*np.tanh(((((((((data["AMT_CREDIT_SUM_DEBT"])-(((data["NAME_CASH_LOAN_PURPOSE_Furniture"])* 2.0)))) * 2.0)) +(((((( data["AMT_CREDIT_SUM_DEBT"])>(np.tanh(( 0.0)))) *1.))/ 2.0)))) * 2.0)) +
0.099961*np.tanh(((((( 0.0)) / 2.0)) +(((((( -1.0)>(((((np.tanh(((((((data["cnt_FLAG_DOCUMENT_2"])* 2.0)) <(( 2.0)))*1.))))-(data["ca__Closed"])))* 2.0)))*1.))* 2.0)))) +
0.099922*np.tanh(((((( np.tanh(( np.minimum(((-1.0)) ,(((((( data["AMT_CREDIT_SUM"])* 2.0)) *(((data["inst_AMT_PAYMENT"])* 2.0)))))))))/ 2.0)) >(data["AMT_CREDIT_SUM"])) *1.))+
0.099922*np.tanh(np.maximum(((((-1.0)+(((-1.0)+(data["SK_ID_BUREAU"])))))) ,(((( data["inst_AMT_PAYMENT"])*(((data["SK_ID_BUREAU"])+(data["ty__Mortgage"])))))))) +
0.099922*np.tanh(np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( np.minimum(((((data["NAME_GOODS_CATEGORY_Insurance"])+(0.0)))) ,(((((( data["NAME_EDUCATION_TYPE"])*(( -1.0*(((( np.tanh(( data["te_NAME_FAMILY_STATUS"])))*(data["NAME_EDUCATION_TYPE"])))))))) / 2.0)))))))) +
0.095467*np.tanh(((((((((1.0)+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)) +(( -1.0*(((((((((((( 12.27627658843994141)) <(( -1.0*(( data["FLAG_DOCUMENT_2"])))))*1.))+(data["AMT_GOODS_PRICE_x"])) /2.0)) >(data["ca__Sold"])) *1.))))))/2.0)) * 2.0)) +
0.100000*np.tanh(((((( 10.33813381195068359)) *(((data["AMT_CREDIT_x"])-(data["AMT_GOODS_PRICE_x"])))))+(data["AMT_CREDIT_x"])))+
0.100000*np.tanh(((data["te_NAME_CONTRACT_TYPE"])*(np.minimum(((np.where(data["cnt_FLAG_WORK_PHONE"]>0,(( data["te_NAME_CONTRACT_TYPE"])-(data["cnt_NAME_CONTRACT_TYPE"])) , data["te_NAME_CONTRACT_TYPE"]))),(( data["NAME_GOODS_CATEGORY_Insurance"])))))) +
0.099961*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["FLAG_DOCUMENT_16"],(((((((np.maximum(((((-1.0)+(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])))) ,(( 0.0)))) -(data["ty__Another_type_of_loan"])))+(data["cnt_FLAG_DOCUMENT_16"])) /2.0)) / 2.0)))+
0.098320*np.tanh(((((((( data["NONLIVINGAPARTMENTS_MODE"])/ 2.0)) +(((((( data["cnt_FLAG_WORK_PHONE"])<(data["SK_ID_BUREAU"])) *1.))-(((( np.where(2.0>0, data["cnt_FLAG_WORK_PHONE"], data["NAME_GOODS_CATEGORY_Insurance"])) >(data["SK_ID_BUREAU"])) *1.))))) /2.0)) / 2.0)) +
0.075498*np.tanh(np.where(((((2.0)) <(((((( np.maximum(((data["CODE_REJECT_REASON_SCO"])) ,(( data["CODE_REJECT_REASON_XAP"])))) +(-1.0)))+(data["NAME_GOODS_CATEGORY_Gardening"])) /2.0)))*1.) >0, -3.0, np.maximum(((data["FLAG_DOCUMENT_2"])) ,(( data["CODE_REJECT_REASON_SCO"])))))+
0.100000*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["FLAG_DOCUMENT_6"], np.where(data["cnt_FLAG_DOCUMENT_6"]>0, data["NAME_GOODS_CATEGORY_Insurance"],(((((-3.0)+(((((((data["CODE_REJECT_REASON_XAP"])-(data["cnt_FLAG_DOCUMENT_6"])))/ 2.0)) * 2.0)))/2.0)) * 2.0)))) +
0.075147*np.tanh(((( -1.0*(((( data["cnt_FLAG_DOCUMENT_2"])-(((((((-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])))) * 2.0)) +(((data["REGION_POPULATION_RELATIVE"])-(((data["CODE_REJECT_REASON_SCO"])/ 2.0)))))/2.0)))))))/ 2.0)) +
0.099844*np.tanh(((((data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])*(((np.minimum(((((-1.0)*(data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])))) ,(( np.maximum(((data["inst_AMT_PAYMENT"])) ,(( data["inst_AMT_PAYMENT"])))))))-(data["NAME_YIELD_GROUP_middle"])))))* 2.0)) +
0.099492*np.tanh(((((( np.tanh(( data["PRODUCT_COMBINATION_Cash"])))+(((((data["FLAG_DOCUMENT_2"])-(((((-3.0)*(((data["PRODUCT_COMBINATION_Cash"])*(data["cc_bal_cc_bal_status__Sent_proposal"])))))/ 2.0)))) / 2.0)))/2.0)) / 2.0)) +
0.100000*np.tanh(((( data["AMT_REQ_CREDIT_BUREAU_DAY"])+(((( data["cc_bal_SK_DPD_DEF"])+(((( data["NAME_CONTRACT_STATUS_Approved"])+(np.maximum(((((( data["AMT_REQ_CREDIT_BUREAU_DAY"])+(data["SK_DPD"])) /2.0))),(((((np.tanh(( data["NAME_CONTRACT_STATUS_Approved"])))+(data["FLAG_DOCUMENT_2"])) /2.0)))))) /2.0)))/2.0)))/2.0)) +
0.099961*np.tanh(((data["Returned_to_the_store"])+(np.maximum(((((data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])+(((( np.tanh(( data["Returned_to_the_store"])))+(( -1.0*(( data["inst_AMT_PAYMENT"])))))/2.0))))),(( np.maximum(((data["FLAG_DOCUMENT_2"])) ,(( np.tanh(( data["Returned_to_the_store"])))))))))))+
0.097812*np.tanh(np.maximum(((np.minimum(((((((((((data["NAME_CONTRACT_TYPE_Consumer_loans"])+(data["CNT_INSTALMENT_FUTURE"])) /2.0)) -(-1.0)))>(data["NAME_GOODS_CATEGORY_XNA"])) *1.))) ,(( data["NAME_PRODUCT_TYPE_x_sell"]))))),(((( -3.0)-(-3.0)))))) +
0.099726*np.tanh(np.minimum(((((((data["NAME_PORTFOLIO_XNA"])/ 2.0)) / 2.0))),(( np.minimum(((((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])*(np.minimum(((data["PRODUCT_COMBINATION_Cash"])) ,(((( data["cnt_FLAG_DOCUMENT_2"])* 2.0)))))))) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))))))+
0.099922*np.tanh(np.maximum(((data["FLAG_DOCUMENT_2"])) ,(( np.minimum(((( 6.0))),(((((np.minimum(((data["CODE_REJECT_REASON_LIMIT"])) ,(( data["inst_AMT_PAYMENT"])))) >(((data["Active"])-(((data["CODE_REJECT_REASON_LIMIT"])-(( 3.66125917434692383)))))))*1.))))))))+
0.100000*np.tanh(((np.where(((1.0)-(data["RATE_DOWN_PAYMENT"])) >0, np.minimum(((2.0)) ,(( data["NAME_GOODS_CATEGORY_Insurance"]))),(-1.0*(((((data["inst_AMT_PAYMENT"])<(data["FLAG_CONT_MOBILE"])) *1.))))))/ 2.0)) +
0.066510*np.tanh(np.where(data["FLAG_CONT_MOBILE"]>0,(((np.minimum(((data["cnt_FLAG_DOCUMENT_17"])) ,(( np.minimum(((((data["AMT_REQ_CREDIT_BUREAU_MON"])*(data["inst_AMT_PAYMENT"])))) ,(((12.75508689880371094)))))))) +(((( data["FLAG_CONT_MOBILE"])<(data["OCCUPATION_TYPE"])) *1.))) /2.0),(10.0)))+
0.092106*np.tanh(np.where(data["te_NAME_CONTRACT_TYPE"]>0,(((data["cnt_FLAG_DOCUMENT_11"])+(((((0.0)+(0.0)))-(np.tanh(( data["te_NAME_EDUCATION_TYPE"])))))) /2.0), data["te_NAME_EDUCATION_TYPE"])) +
0.099961*np.tanh(((((np.where(data["NAME_CASH_LOAN_PURPOSE_Medicine"]>0, data["NAME_CASH_LOAN_PURPOSE_Medicine"], np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Medicine"])) ,(((((-1.0*(( data["inst_AMT_PAYMENT"])))) / 2.0)))))) / 2.0)) +(( -1.0*(( data["YEARS_BEGINEXPLUATATION_MODE"])))))) +
0.099531*np.tanh(((( np.where(((( data["NAME_GOODS_CATEGORY_Insurance"])>(data["cnt_NAME_EDUCATION_TYPE"])) *1.) >0, data["LIVINGAPARTMENTS_MEDI"], data["cu__currency_3"])) +(np.where(data["LIVINGAPARTMENTS_MEDI"]>0, data["cnt_NAME_EDUCATION_TYPE"], data["CODE_REJECT_REASON_VERIF"])))/2.0)) +
0.099844*np.tanh(np.minimum(((((((data["FLAG_DOCUMENT_15"])* 2.0)) *(((data["cnt_FLAG_DOCUMENT_2"])-(((( -1.0*(( data["CODE_REJECT_REASON_VERIF"])))) +(data["te_WEEKDAY_APPR_PROCESS_START"])))))))) ,(((( 3.0)-(-1.0)))))) +
0.099961*np.tanh(((np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["FLAG_DOCUMENT_16"], np.minimum(((data["cc_bal_cc_bal_status__Sent_proposal"])) ,(( np.minimum(((data["cnt_FLAG_DOCUMENT_16"])) ,(( data["cnt_FLAG_DOCUMENT_14"])))))))) / 2.0)) +
0.099726*np.tanh(np.minimum(((data["cc_bal_cc_bal_status__Sent_proposal"])) ,(( np.minimum(((( -1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"]))))),(((( np.minimum(((np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["CODE_REJECT_REASON_VERIF"], data["cnt_FLAG_DOCUMENT_16"]))),(((( data["CODE_REJECT_REASON_VERIF"])*(data["FLAG_DOCUMENT_16"])))))) / 2.0)))))))) +
0.099844*np.tanh(((( data["AMT_DOWN_PAYMENT"])>(np.tanh(((((np.minimum(((data["cnt_FLAG_DOCUMENT_15"])) ,(((( -3.0)*(data["AMT_DOWN_PAYMENT"])))))) <(np.minimum(((1.0)) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))*1.))))) *1.))+
0.090660*np.tanh(((data["NAME_GOODS_CATEGORY_Insurance"])+(np.minimum(((data["cnt_FLAG_DOCUMENT_15"])) ,(( np.where(((data["cc_bal_SK_DPD_DEF"])*(data["cc_bal_SK_DPD_DEF"])) >0,(( data["NFLAG_INSURED_ON_APPROVAL"])+(data["FLAG_DOCUMENT_15"])) , data["cc_bal_SK_DPD_DEF"])))))))+
0.086245*np.tanh(((((((np.minimum(((((( np.minimum(((0.0)) ,(( data["NAME_CONTRACT_TYPE_Revolving_loans"])))) >(data["inst_AMT_PAYMENT"])) *1.))) ,(( data["NAME_CONTRACT_TYPE_Revolving_loans"])))) >(data["inst_AMT_PAYMENT"])) *1.))>(((( data["NAME_PORTFOLIO_Cards"])>(1.0)) *1.))) *1.))+
0.072763*np.tanh(np.minimum(((( -1.0*(( data["RATE_DOWN_PAYMENT"]))))),(((((data["Completed"])+(((((((data["cc_bal_SK_DPD_DEF"])* 2.0)) / 2.0)) +(((( data["DAYS_FIRST_DRAWING"])<(((data["DAYS_FIRST_DRAWING"])/ 2.0)))*1.))))) /2.0)))))+
0.099766*np.tanh(((np.where(data["DAYS_LAST_DUE"]>0,(((((((((((1.0)<(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])) *1.))>(data["DAYS_TERMINATION"])) *1.))+(data["cnt_FLAG_DOCUMENT_2"])) /2.0)) *(( 13.01487827301025391))), np.tanh(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) * 2.0)) +
0.095115*np.tanh(np.where(((((( -3.0)>(((( 4.0)) *(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))) *1.))/ 2.0)>0,(((6.0)) * 2.0), data["cc_bal_SK_DPD"])) +
0.086792*np.tanh(np.minimum(((data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) ,(( np.tanh(((( data["SK_ID_PREV_y"])*(np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( data["FLAG_DOCUMENT_17"])*(((((data["SK_ID_PREV_y"])* 2.0)) * 2.0)))))))))))))) +
0.099766*np.tanh(((((( np.tanh(((((data["AMT_DOWN_PAYMENT"])>(( -1.0*(( data["FLAG_DOCUMENT_2"])))))*1.))))/ 2.0)) <(((data["AMT_DOWN_PAYMENT"])-(np.tanh(( data["AMT_DOWN_PAYMENT"])))))) *1.))+
0.099531*np.tanh(((data["FLAG_DOCUMENT_17"])*(((((( 7.0)) * 2.0)) *(((( data["NAME_GOODS_CATEGORY_Furniture"])+(np.minimum(((((data["NAME_GOODS_CATEGORY_Furniture"])+(data["NAME_GOODS_CATEGORY_Furniture"])))) ,(( data["cnt_FLAG_DOCUMENT_2"])))))/2.0)))))) +
0.099570*np.tanh(np.where(((data["CODE_REJECT_REASON_VERIF"])*(data["NAME_CONTRACT_STATUS_Approved"])) >0,(((((data["NAME_SELLER_INDUSTRY_MLM_partners"])+(((((((data["NAME_CONTRACT_STATUS_Approved"])/ 2.0)) +(data["CODE_REJECT_REASON_VERIF"])))/ 2.0)))/2.0)) / 2.0),(-1.0*(( data["NAME_SELLER_INDUSTRY_MLM_partners"])))))+
0.099766*np.tanh(((((((((data["NAME_GOODS_CATEGORY_Insurance"])*(data["cnt_FLAG_DOCUMENT_2"])))+(((( data["cc_bal_SK_DPD_DEF"])<(data["NAME_CASH_LOAN_PURPOSE_Car_repairs"])) *1.))))* 2.0)) +(np.where(data["FLAG_DOCUMENT_2"]>0,(12.16825199127197266),(( data["cc_bal_SK_DPD_DEF"])* 2.0)))))+
0.099648*np.tanh(np.minimum(((data["cnt_FLAG_DOCUMENT_13"])) ,(( np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])) ,(((((((((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])))) <(data["NAME_TYPE_SUITE_Children"])) *1.))-(((( data["NAME_TYPE_SUITE_Children"])+(data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])) /2.0)))) / 2.0)))))))) +
0.098476*np.tanh(( -1.0*(((( np.where(((data["NAME_GOODS_CATEGORY_Direct_Sales"])/ 2.0)>0, np.where(((( 3.0)) / 2.0)>0, data["NONLIVINGAREA_MODE"],(((((data["cc_bal_AMT_BALANCE"])>(3.0)) *1.))/ 2.0)) , data["NAME_GOODS_CATEGORY_Fitness"])) * 2.0)))))+
0.099805*np.tanh(((np.tanh(((( np.minimum(((data["cnt_FLAG_DOCUMENT_17"])) ,(((((( data["te_REG_CITY_NOT_WORK_CITY"])*(((data["te_REG_CITY_NOT_WORK_CITY"])* 2.0)))) -(data["FLAG_DOCUMENT_14"])))))) +(((data["NAME_PAYMENT_TYPE_Cashless_from_the_account_of_the_employer"])*(data["te_REG_CITY_NOT_WORK_CITY"])))))))* 2.0)) +
0.075733*np.tanh(((data["OWN_CAR_AGE"])*(((((-1.0*(( data["cu__currency_3"])))) >(((np.tanh(( data["OWN_CAR_AGE"])))*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *1.))))+
0.100000*np.tanh(((((data["AMT_ANNUITY_x"])*(((-2.0)*(((data["avg_buro_buro_bal_status_5"])* 2.0)))))) +(((np.where(2.0>0, data["CODE_REJECT_REASON_VERIF"],(-1.0*(( data["NAME_HOUSING_TYPE"])))))*(data["NAME_HOUSING_TYPE"])))))+
0.099531*np.tanh(( -1.0*(( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["AMT_GOODS_PRICE_x"],(( 0.0)+(((( 1.0)<(((data["NAME_SELLER_INDUSTRY_MLM_partners"])-(data["AMT_GOODS_PRICE_x"])))) *1.))))))))+
0.099961*np.tanh(np.tanh(((( data["cc_bal_AMT_BALANCE"])*(((data["CHANNEL_TYPE_AP___Cash_loan_"])+(((( data["cc_bal_AMT_BALANCE"])>(((2.0)-(((data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0)))))*1.))))))))+
0.099961*np.tanh(np.where(((data["EXT_SOURCE_1"])-(-2.0)) >0,(((-1.0*(((((np.tanh(( np.tanh(( -2.0)))))>(data["EXT_SOURCE_1"])) *1.))))) / 2.0),(13.55623054504394531)))+
0.099844*np.tanh(((((((((( -1.0*(( np.maximum(((3.0)) ,(( data["NAME_GOODS_CATEGORY_Insurance"])))))))+(np.where(data["DAYS_CREDIT_ENDDATE"]>0, 0.0, np.minimum(((( 13.47132968902587891))),(( data["CODE_REJECT_REASON_SCOFR"])))))) /2.0)) >(data["EXT_SOURCE_1"])) *1.))* 2.0)) +
0.074717*np.tanh(((((( data["FONDKAPREMONT_MODE"])*(np.minimum(((((1.0)+(data["cu__currency_3"])))) ,(( data["cnt_FLAG_DOCUMENT_5"])))))) <(data["SK_DPD"])) *1.))+
0.100000*np.tanh(( -1.0*(((-1.0*(((( data["EXT_SOURCE_3"])*(((((data["EXT_SOURCE_3"])/ 2.0)) +(( -1.0*(((((-1.0*(( data["EXT_SOURCE_3"])))) -(2.0)))))))))))))))) +
0.100000*np.tanh(( -1.0*(((((((((((((2.0)+(((data["DAYS_CREDIT_ENDDATE"])* 2.0)))/2.0)) <(data["EXT_SOURCE_2"])) *1.))>(np.where(data["DAYS_CREDIT_ENDDATE"]>0, 2.0,(( data["EXT_SOURCE_2"])/ 2.0)))) *1.))/ 2.0)))))+
0.093005*np.tanh(( -1.0*(((((data["AMT_GOODS_PRICE_x"])>(((data["ty__Mortgage"])+(((((( data["AMT_CREDIT_SUM"])*(data["AMT_CREDIT_SUM"])))<(np.where(2.0>0, data["AMT_GOODS_PRICE_x"], np.tanh(((9.0)))))) *1.))))) *1.))))) +
0.093669*np.tanh(np.where(((((( data["CNT_INSTALMENT_FUTURE"])>(((((((8.70177841186523438)) * 2.0)) >(-3.0)) *1.))) *1.))/ 2.0)>0,(((( data["AMT_CREDIT_y"])*(data["CNT_INSTALMENT_FUTURE"])))/ 2.0),(-1.0*(( data["ty__Mortgage"])))))+
0.086440*np.tanh(np.where(data["inst_AMT_PAYMENT"]>0, np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( data["AMT_CREDIT_x"])/ 2.0)))) , data["NAME_CASH_LOAN_PURPOSE_Furniture"])) +
0.098984*np.tanh(np.where(np.tanh(( data["ca__Sold"])) >0,(((-1.0*(((((((-1.0*(( np.tanh(( np.tanh(( data["inst_AMT_PAYMENT"])))))))) *(data["ca__Sold"])))* 2.0)))))-(data["inst_AMT_PAYMENT"])) , data["ca__Sold"])) +
0.099961*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["avg_buro_buro_bal_status_5"],(( np.tanh(((((-1.0*(( np.where(data["ca__Sold"]>0, data["CNT_INSTALMENT"],(( data["cu__currency_3"])* 2.0)))))) / 2.0)))) *(((data["ca__Sold"])/ 2.0)))))+
0.091989*np.tanh(((data["cu__currency_3"])+(((( data["avg_buro_buro_count"])<(np.where(((( data["PRODUCT_COMBINATION_Cash"])>(np.tanh(( 1.0)))) *1.) >0,(( data["NAME_GOODS_CATEGORY_Insurance"])*(( 0.83815473318099976))),(( -2.0)/ 2.0)))) *1.))))+
0.100000*np.tanh(((((data["CNT_INSTALMENT"])*(((((data["ca__Sold"])-(data["DAYS_CREDIT"])))/ 2.0)))) *(((np.where(data["DAYS_CREDIT"]>0, data["avg_buro_buro_bal_status_0"], -2.0)) / 2.0)))) +
0.099766*np.tanh(np.minimum(((((data["AMT_REQ_CREDIT_BUREAU_WEEK"])*(((( -1.0)+(data["WEEKDAY_APPR_PROCESS_START_WEDNESDAY"])) /2.0))))),(((((((data["AMT_REQ_CREDIT_BUREAU_WEEK"])/ 2.0)) +(data["AMT_REQ_CREDIT_BUREAU_WEEK"])) /2.0)))))+
0.084564*np.tanh(((np.tanh(((((data["CNT_INSTALMENT_FUTURE"])>(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0,(13.89491844177246094),(((((data["HOUR_APPR_PROCESS_START_y"])>(data["NAME_GOODS_CATEGORY_Gardening"])) *1.))* 2.0)))) *1.))))/ 2.0)) +
0.100000*np.tanh(((((((data["inst_AMT_PAYMENT"])*(((( data["te_WALLSMATERIAL_MODE"])<(data["avg_buro_MONTHS_BALANCE"])) *1.))))* 2.0)) *(((( data["avg_buro_MONTHS_BALANCE"])+(-1.0)) /2.0)))) +
0.099414*np.tanh(np.where(data["OWN_CAR_AGE"]>0,(( data["AMT_CREDIT_y"])-(data["avg_buro_MONTHS_BALANCE"])) ,(((((data["AMT_CREDIT_x"])-(((3.0)/ 2.0)))) >(data["cc_bal_SK_DPD_DEF"])) *1.))) +
0.100000*np.tanh(np.where(data["AMT_GOODS_PRICE_x"]>0, data["FLAG_DOCUMENT_5"],(-1.0*(((((((( 6.79844999313354492)) *(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))<(np.minimum(((data["AMT_GOODS_PRICE_x"])) ,(( 3.0)))))*1.))))))+
0.069637*np.tanh(( -1.0*(( np.maximum(((data["FLAG_DOCUMENT_17"])) ,(((( np.where(data["NAME_CASH_LOAN_PURPOSE_Furniture"]>0, data["WALLSMATERIAL_MODE"],(((( data["WALLSMATERIAL_MODE"])* 2.0)) -(( 4.0)))))* 2.0)))))))) +
0.100000*np.tanh(((((( -2.0)>(data["EXT_SOURCE_1"])) *1.))-(((( data["EXT_SOURCE_1"])>(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])>(((data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0)))*1.))) *1.))))+
0.085307*np.tanh(((( data["te_FLAG_DOCUMENT_20"])>(((((((((np.maximum(((data["cc_bal_SK_DPD_DEF"])) ,(( data["ENTRANCES_MEDI"])))) <(((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)))*1.))>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))+(data["ENTRANCES_MODE"])))) *1.))+
0.098554*np.tanh(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((data["te_FLAG_DOCUMENT_5"])*(( 3.66830086708068848)))))) +
0.099961*np.tanh(((( data["cnt_FLAG_DOCUMENT_11"])+(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["FONDKAPREMONT_MODE"],(-1.0*(((((((( 2.0)>(-1.0)) *1.))<(data["FONDKAPREMONT_MODE"])) *1.))))))) /2.0)) +
0.099453*np.tanh(((data["cc_bal_SK_DPD_DEF"])+(np.where(data["cc_bal_SK_DPD_DEF"]>0, data["CODE_REJECT_REASON_XAP"],(( data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(((((data["CODE_REJECT_REASON_XAP"])+(((( data["NAME_GOODS_CATEGORY_Gardening"])>(data["NAME_GOODS_CATEGORY_Gardening"])) *1.))))*(-2.0)))))))) +
0.099648*np.tanh(np.tanh(( np.minimum(((((( data["WEEKDAY_APPR_PROCESS_START_WEDNESDAY"])>(((data["NAME_GOODS_CATEGORY_Direct_Sales"])/ 2.0)))*1.))) ,(((((( data["NONLIVINGAPARTMENTS_MODE"])*(data["WEEKDAY_APPR_PROCESS_START_WEDNESDAY"])))-(data["NAME_GOODS_CATEGORY_Gardening"])))))))) +
0.099687*np.tanh(((((((np.where(data["cc_bal_cc_bal_status__Sent_proposal"]>0, data["NAME_GOODS_CATEGORY_Fitness"], data["PRODUCT_COMBINATION_POS_industry_without_interest"])) *(np.maximum(((data["NAME_YIELD_GROUP_high"])) ,(( 0.0)))))) * 2.0)) * 2.0)) +
0.098281*np.tanh(((((data["PRODUCT_COMBINATION_Cash_X_Sell__high"])*(( -1.0*(( data["NONLIVINGAPARTMENTS_MODE"])))))) +(( -1.0*(( np.tanh(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])-(((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])<(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])) *1.))/ 2.0)))))))))))+
0.099883*np.tanh(((data["CNT_INSTALMENT"])*(((np.maximum(((data["NAME_GOODS_CATEGORY_Other"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *(np.where(( 7.0)>0, data["NAME_TYPE_SUITE_Unaccompanied"],(((data["NAME_TYPE_SUITE_Unaccompanied"])+(((( 3.0)+(data["NAME_CASH_LOAN_PURPOSE_Furniture"])) /2.0)))/2.0)))))))+
0.099140*np.tanh(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0)) *(np.where(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["CNT_INSTALMENT"])) >0, data["NAME_TYPE_SUITE_Unaccompanied"], data["NAME_GOODS_CATEGORY_Education"])))) +
0.099883*np.tanh(np.where(( -1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"])))>0, np.tanh(( data["PRODUCT_COMBINATION_POS_industry_without_interest"])) ,(((((data["PRODUCT_COMBINATION_POS_industry_without_interest"])*(data["inst_AMT_PAYMENT"])))+(((((0.0)* 2.0)) * 2.0)))/2.0)))+
0.099687*np.tanh(((((((2.0)<(((data["CHANNEL_TYPE_AP___Cash_loan_"])/ 2.0)))*1.))+(((( np.maximum(((2.0)) ,(( data["cc_bal_cc_bal_status__Sent_proposal"])))) <(data["PRODUCT_COMBINATION_Card_X_Sell"])) *1.))) /2.0)) +
0.099844*np.tanh(( -1.0*(( np.where(data["NAME_GOODS_CATEGORY_Fitness"]>0, data["ORGANIZATION_TYPE"],(-1.0*(((((((2.0)<(((( data["ORGANIZATION_TYPE"])+(np.tanh(( data["NAME_GOODS_CATEGORY_Insurance"])))) /2.0)))*1.))* 2.0)))))))))+
0.099844*np.tanh(((((( 0.0)) -(((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])<(np.where(((data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])+(-1.0)) >0,(( 3.0)-(data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])) , np.tanh(( -2.0)))))*1.))))* 2.0)) +
0.099687*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, np.maximum(((data["cnt_FLAG_DOCUMENT_3"])) ,(( np.where(np.tanh(( data["SK_ID_BUREAU"])) >0, data["SK_ID_BUREAU"], -3.0)))) , data["NAME_GOODS_CATEGORY_Insurance"])) +
0.075967*np.tanh(( -1.0*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(((( data["NAME_CASH_LOAN_PURPOSE_Furniture"])>(((((((( data["NAME_GOODS_CATEGORY_Insurance"])>(2.0)) *1.))-(data["FLAG_DOCUMENT_16"])))*(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(-3.0)))))) *1.))))))) +
0.099414*np.tanh(((((( np.maximum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["cc_bal_SK_DPD_DEF"])))) >(((( -2.0)<(np.minimum(((data["REG_CITY_NOT_LIVE_CITY"])) ,(( data["cnt_REG_CITY_NOT_LIVE_CITY"])))))*1.))) *1.))* 2.0)) +
0.099766*np.tanh(((np.minimum(((data["cnt_FLAG_DOCUMENT_10"])) ,(((( np.minimum(((( -1.0*(( data["cc_bal_cc_bal_status__Sent_proposal"]))))),(((( data["NAME_GOODS_CATEGORY_Fitness"])*(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))) -(data["NAME_GOODS_CATEGORY_Fitness"])))))) * 2.0)) +
0.099726*np.tanh(np.minimum(((data["avg_buro_buro_bal_status_5"])) ,(((( 3.0)-(np.where(((((( data["NAME_GOODS_CATEGORY_Insurance"])>(((0.0)-(data["NAME_GOODS_CATEGORY_Education"])))) *1.))/ 2.0)>0, data["NAME_GOODS_CATEGORY_Education"], data["avg_buro_buro_bal_status_5"])))))))+
0.099492*np.tanh(np.minimum(((data["cnt_FLAG_DOCUMENT_17"])) ,(((-1.0*(((( np.where(np.tanh(((((((((2.0)<(data["PRODUCT_COMBINATION_POS_industry_without_interest"])) *1.))* 2.0)) * 2.0)))>0, data["avg_buro_buro_bal_status_5"], data["PRODUCT_COMBINATION_POS_industry_without_interest"])) * 2.0)))))))) +
0.099766*np.tanh(((((( data["ca__Sold"])/ 2.0)) >(((3.0)+(((data["AMT_REQ_CREDIT_BUREAU_MON"])-(((data["NAME_CASH_LOAN_PURPOSE_Payments_on_other_loans"])/ 2.0)))))))*1.))+
0.098281*np.tanh(((( data["AMT_INCOME_TOTAL"])>(((( data["ty__Another_type_of_loan"])<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))) *1.))+
0.093982*np.tanh(((( -1.0*(((((data["AMT_GOODS_PRICE_x"])>(((np.where(((data["FLAG_EMP_PHONE"])/ 2.0)>0, np.tanh(( data["cnt_FLAG_EMP_PHONE"])) , 2.0)) *(data["cnt_DAYS_EMPLOYED"])))) *1.))))) / 2.0)) +
0.100000*np.tanh(((np.where(np.minimum(((data["AMT_CREDIT_x"])) ,(((((data["AMT_CREDIT_x"])<(data["AMT_ANNUITY_x"])) *1.))))>0,(( data["AMT_ANNUITY_x"])*(( 13.44352436065673828))), 0.0)) / 2.0)) +
0.089683*np.tanh(((np.where(data["cnt_NAME_INCOME_TYPE"]>0, data["NAME_GOODS_CATEGORY_Insurance"], np.minimum(((np.maximum(((((((np.maximum(((data["avg_buro_buro_bal_status_5"])) ,(( data["cnt_NAME_INCOME_TYPE"])))) * 2.0)) * 2.0))),(( data["FLAG_DOCUMENT_8"]))))),(( np.tanh(( data["avg_buro_buro_bal_status_5"])))))))* 2.0)) +
0.099844*np.tanh(((np.where(((data["ty__Another_type_of_loan"])+(((( -1.0*(( data["FLAG_DOCUMENT_8"])))) -(-3.0)))) >0,(((( data["FLAG_DOCUMENT_8"])+(data["MONTHS_BALANCE"])))*(data["ty__Another_type_of_loan"])) , data["NAME_FAMILY_STATUS"])) * 2.0)) +
0.098202*np.tanh(np.where(((( data["EXT_SOURCE_3"])<(-1.0)) *1.) >0, np.maximum(((-2.0)) ,(((((((data["EXT_SOURCE_3"])*(((data["EXT_SOURCE_3"])/ 2.0)))) +(data["ty__Another_type_of_loan"])) /2.0)))) , data["EXT_SOURCE_3"])) +
0.099883*np.tanh(np.where(data["SK_ID_BUREAU"]>0,(( data["ca__Active"])*(2.0)) , np.where(data["ca__Active"]>0, data["SK_ID_BUREAU"], data["NAME_GOODS_CATEGORY_Insurance"])))+
0.099570*np.tanh(((((( np.where(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(( 5.70599699020385742)))) +(data["DAYS_CREDIT_UPDATE"])) >0,(((data["ca__Active"])+(-1.0)) /2.0), data["DAYS_CREDIT"])) >(data["ca__Closed"])) *1.))/ 2.0)) +
0.077100*np.tanh(((((np.tanh(( np.tanh(((-1.0*(((( np.maximum(((data["NAME_CONTRACT_STATUS_Refused"])) ,(((((( 5.17349958419799805)) <(data["CODE_REJECT_REASON_HC"])) *1.))))) * 2.0)))))))))/ 2.0)) +(((data["CODE_REJECT_REASON_HC"])*(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))))+
0.099844*np.tanh(((np.tanh(( data["SK_ID_PREV_x"])))*(np.where(((((((data["NAME_YIELD_GROUP_XNA"])/ 2.0)) *(data["SK_ID_PREV_x"])))+(((data["PRODUCT_COMBINATION_Cash"])* 2.0)))>0,(-1.0*(( data["ty__Another_type_of_loan"]))), data["SK_ID_BUREAU"])))) +
0.099766*np.tanh(((((np.where(((3.0)/ 2.0)>0,(( data["SK_ID_PREV_x"])*(((((((((( 0.0)) / 2.0)) <(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))<(data["NAME_PORTFOLIO_POS"])) *1.))) , data["SK_ID_PREV_x"])) / 2.0)) / 2.0)) +
0.100000*np.tanh(((((( data["EXT_SOURCE_3"])<(-2.0)) *1.))+(((np.tanh(((((data["EXT_SOURCE_3"])<(-2.0)) *1.))))* 2.0)))) +
0.075576*np.tanh(((np.where(np.maximum(((data["SK_ID_BUREAU"])) ,(( np.where(data["ty__Another_type_of_loan"]>0, -2.0, data["ty__Another_type_of_loan"])))) >0, data["PRODUCT_COMBINATION_Cash"], data["avg_buro_buro_bal_status_C"])) / 2.0)) +
0.099766*np.tanh(np.where(((-1.0)-(((( data["ty__Another_type_of_loan"])+(-2.0)) /2.0)))>0, np.tanh(((((data["SK_ID_BUREAU"])>(2.0)) *1.))) , data["CODE_REJECT_REASON_LIMIT"])) +
0.099883*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Furniture"]>0, data["avg_buro_buro_count"],(((-1.0*(((((1.0)<(data["avg_buro_buro_count"])) *1.))))) * 2.0)))+
0.099883*np.tanh(((((( data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])>(3.0)) *1.))+(((( np.where(((data["CHANNEL_TYPE_Credit_and_cash_offices"])+(-2.0)) >0, np.tanh(( 0.0)) , 2.0)) +(-2.0)) /2.0)))) +
0.099453*np.tanh(((( 2.0)<(((((((data["HOUR_APPR_PROCESS_START_y"])*(data["HOUR_APPR_PROCESS_START_y"])))*(((( data["PRODUCT_COMBINATION_Cash_Street__high"])>(data["ty__Another_type_of_loan"])) *1.))))* 2.0)))*1.))+
0.099844*np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Furniture"])*(((np.where(-1.0>0, -3.0, data["NAME_CONTRACT_STATUS_Canceled"])) *(np.maximum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( 3.0)))))))) -(data["CHANNEL_TYPE_Car_dealer"])))+
0.099140*np.tanh(((((1.0)-(data["CNT_INSTALMENT_FUTURE"])))*(((( 0.0)+(((( -1.0*(((((data["CNT_INSTALMENT_FUTURE"])>(2.0)) *1.))))) *(data["DAYS_LAST_DUE"])))) /2.0)))) +
0.099375*np.tanh(((( np.maximum(((np.maximum(((data["CNT_INSTALMENT"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Furniture"]))))),(( data["cnt_FLAG_OWN_REALTY"])))) <(np.tanh(( data["inst_AMT_INSTALMENT"])))) *1.))+
0.099844*np.tanh(((np.where(((( data["ty__Another_type_of_loan"])+(((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) /2.0)>0, data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"], data["NAME_GOODS_CATEGORY_Insurance"])) +(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])*(np.tanh(( data["DAYS_CREDIT"])))))))+
0.099922*np.tanh(np.where(((data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])* 2.0)>0,(( data["NAME_CASH_LOAN_PURPOSE_Everyday_expenses"])*(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])) , np.tanh(((((((-1.0*(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) *(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])))*(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])))))) +
0.099961*np.tanh(((np.minimum(((((data["NAME_YIELD_GROUP_high"])*(((((data["NAME_YIELD_GROUP_high"])*(data["ty__Another_type_of_loan"])))* 2.0))))),(( data["NAME_GOODS_CATEGORY_Insurance"])))) * 2.0)) +
0.082493*np.tanh(np.tanh(( np.tanh(((-1.0*(( np.where(data["NAME_CONTRACT_STATUS_Approved"]>0, data["inst_AMT_PAYMENT"], 0.0)))))))))+
0.099883*np.tanh(((data["te_FLAG_PHONE"])*(np.minimum(((((data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])*(((( data["te_FLAG_PHONE"])>(((data["te_FLAG_PHONE"])+(data["ty__Another_type_of_loan"])))) *1.))))) ,(((((( 1.0)* 2.0)) / 2.0)))))))+
0.099609*np.tanh(((((data["te_FLAG_PHONE"])*(((( 2.0)<(data["avg_buro_buro_bal_status_5"])) *1.))))-(((data["ty__Another_type_of_loan"])*(((data["cnt_FLAG_PHONE"])+(data["cnt_FLAG_PHONE"])))))))+
0.098632*np.tanh(((( data["NAME_CASH_LOAN_PURPOSE_Building_a_house_or_an_annex"])+(((((((0.0)>(data["NONLIVINGAPARTMENTS_MODE"])) *1.))>(((( 2.0)) -(data["WEEKDAY_APPR_PROCESS_START_WEDNESDAY"])))) *1.))) /2.0)) +
0.099922*np.tanh(np.minimum(((((((((1.0)>(data["NONLIVINGAPARTMENTS_MODE"])) *1.))<(((data["NAME_GOODS_CATEGORY_Fitness"])*(data["ty__Another_type_of_loan"])))) *1.))) ,(((((-1.0*(((( data["PRODUCT_COMBINATION_Cash_Street__high"])*(data["NONLIVINGAPARTMENTS_MODE"])))))) * 2.0)))))+
0.099922*np.tanh(((((data["NAME_GOODS_CATEGORY_Fitness"])*(((((np.tanh(((-1.0*(( data["PRODUCT_COMBINATION_Cash_Street__high"])))))) -(data["HOUSETYPE_MODE"])))* 2.0)))) * 2.0)) +
0.095115*np.tanh(np.where(data["HOUR_APPR_PROCESS_START_y"]>0,(( data["ty__Another_type_of_loan"])* 2.0),(( data["cnt_REG_CITY_NOT_LIVE_CITY"])*(((((data["REG_CITY_NOT_LIVE_CITY"])*(data["ty__Another_type_of_loan"])))* 2.0)))))+
0.100000*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["te_REG_REGION_NOT_LIVE_REGION"],(( np.minimum(((data["ty__Another_type_of_loan"])) ,(((((13.32924747467041016)) -(np.maximum(((((data["te_REG_REGION_NOT_LIVE_REGION"])* 2.0))),(( data["ty__Another_type_of_loan"])))))))))*(( 0.66566365957260132)))))+
0.098906*np.tanh(np.where(data["AMT_REQ_CREDIT_BUREAU_DAY"]>0, data["AMT_REQ_CREDIT_BUREAU_DAY"],(((( data["NAME_GOODS_CATEGORY_Fitness"])+(((data["PRODUCT_COMBINATION_POS_industry_without_interest"])/ 2.0)))) *(data["NAME_CASH_LOAN_PURPOSE_Furniture"])))) +
0.099844*np.tanh(np.minimum(((((( -1.0*(((((np.maximum(((( 14.60459995269775391))),(( data["FLAG_DOCUMENT_4"])))) <(((data["NAME_GOODS_CATEGORY_Clothing_and_Accessories"])* 2.0)))*1.))))) -(data["ty__Another_type_of_loan"])))) ,(( data["cnt_FLAG_DOCUMENT_4"])))) +
0.085932*np.tanh(np.tanh(((-1.0*(((((((( -1.0*(( np.maximum(((np.minimum(((3.0)) ,(((( data["PRODUCT_COMBINATION_POS_mobile_without_interest"])+(data["NONLIVINGAREA_MODE"]))))))),(( data["PRODUCT_COMBINATION_POS_mobile_without_interest"])))))))<(data["NAME_GOODS_CATEGORY_Weapon"])) *1.))/ 2.0)))))))+
0.073701*np.tanh(((((((( data["Active"])*(((( np.tanh(( data["NAME_SELLER_INDUSTRY_Connectivity"])))+(data["Active"])) /2.0)))) <(((( data["te_ORGANIZATION_TYPE"])>(((((7.06093883514404297)) +(((-1.0)* 2.0)))/2.0)))*1.))) *1.))/ 2.0)) +
0.070379*np.tanh(((np.minimum(((data["NAME_SELLER_INDUSTRY_Connectivity"])) ,(( data["cnt_FLAG_DOCUMENT_10"])))) *(((((( data["Active"])*(( 7.0)))) >(( 2.79707622528076172)))*1.))))+
0.099336*np.tanh(np.where(data["DAYS_LAST_PHONE_CHANGE"]>0,(( np.tanh(((((((data["DAYS_LAST_PHONE_CHANGE"])>(1.0)) *1.))* 2.0)))) / 2.0),(((((0.0)*(1.0)))<(((data["TOTALAREA_MODE"])* 2.0)))*1.))) +
0.100000*np.tanh(np.tanh(((((((data["inst_DAYS_ENTRY_PAYMENT"])<(np.maximum(((data["inst_DAYS_INSTALMENT"])) ,(( -2.0)))))*1.))*(((np.tanh(( -3.0)))/ 2.0)))))) +
0.100000*np.tanh(((( data["inst_DAYS_ENTRY_PAYMENT"])>(np.maximum(((((( data["DAYS_TERMINATION"])>(((( 3.0)<(data["CNT_INSTALMENT_FUTURE"])) *1.))) *1.))) ,(( data["inst_DAYS_INSTALMENT"])))))*1.))+
0.076788*np.tanh(np.tanh(((((((0.0)+(((((( 6.0)) * 2.0)) *(((( data["EXT_SOURCE_2"])+(data["EXT_SOURCE_3"])) /2.0)))))) +(((( data["DAYS_LAST_DUE_1ST_VERSION"])<(0.0)) *1.))) /2.0)))) +
0.084408*np.tanh(( -1.0*(((((data["EXT_SOURCE_3"])+(((((-1.0*(( data["te_REGION_RATING_CLIENT_W_CITY"])))) >(((((data["EXT_SOURCE_3"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])))* 2.0)))*1.))) /2.0)))))+
0.093904*np.tanh(np.where(-2.0>0, np.maximum(((3.0)) ,(((((1.0)+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)))) , np.maximum(((( 0.0))),(((( data["NAME_SELLER_INDUSTRY_Connectivity"])*(data["inst_AMT_PAYMENT"])))))))+
0.100000*np.tanh(((np.maximum(((-3.0)) ,(( 3.0)))) *(((((2.0)) <(((np.tanh(( np.tanh(( data["NAME_SELLER_INDUSTRY_Connectivity"])))))-(data["EXT_SOURCE_2"])))) *1.))))+
0.093357*np.tanh(np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( np.where(data["MONTHS_BALANCE"]>0, np.tanh(( data["MONTHS_BALANCE"])) , data["NAME_PRODUCT_TYPE_walk_in"])) *(data["CNT_INSTALMENT_FUTURE"])))))) +
0.099922*np.tanh(np.where(((((((((((-1.0)+(((( 2.0)+(-3.0)) /2.0)))/2.0)) -(-2.0)))<(data["EXT_SOURCE_2"])) *1.))/ 2.0)>0, -1.0,(( data["cnt_FLAG_DOCUMENT_10"])* 2.0)))+
0.076319*np.tanh(np.minimum(((((data["WALLSMATERIAL_MODE"])*(((data["EXT_SOURCE_2"])/ 2.0))))),(((( data["FLAG_DOCUMENT_16"])*(((data["EXT_SOURCE_2"])+(data["WALLSMATERIAL_MODE"])))))))) +
0.085190*np.tanh(((np.maximum(((data["FLAG_DOCUMENT_21"])) ,(((((((((0.0)* 2.0)) +(((((((data["FLAG_DOCUMENT_21"])>(data["PRODUCT_COMBINATION_Cash_X_Sell__high"])) *1.))>(data["DAYS_LAST_DUE_1ST_VERSION"])) *1.))) /2.0)) +(data["FLAG_DOCUMENT_21"])))))) / 2.0)) +
0.099883*np.tanh(((data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])*(np.maximum(((((data["NAME_GOODS_CATEGORY_Computers"])*(data["NAME_GOODS_CATEGORY_Computers"])))) ,(((-1.0*(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))))+
0.085932*np.tanh(((np.maximum(((( -1.0*(((( data["cc_bal_SK_DPD"])*(((data["DAYS_LAST_DUE"])+(data["DAYS_LAST_DUE"]))))))))),(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) *(( -1.0*(((((( data["te_HOUSETYPE_MODE"])* 2.0)) / 2.0)))))))+
0.081243*np.tanh(((data["DAYS_FIRST_DUE"])*(((np.maximum(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) ,(((((( data["NAME_GOODS_CATEGORY_Computers"])-(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))*(((data["NAME_GOODS_CATEGORY_Computers"])/ 2.0)))))))/ 2.0)))) +
0.099922*np.tanh(((((((((data["inst_AMT_PAYMENT"])*(data["NAME_GOODS_CATEGORY_Direct_Sales"])))/ 2.0)) -(np.where(data["PRODUCT_COMBINATION_Cash_X_Sell__high"]>0, data["inst_AMT_PAYMENT"], data["NAME_GOODS_CATEGORY_Direct_Sales"])))) / 2.0)) +
0.099922*np.tanh(( -1.0*(((((((np.maximum(((-2.0)) ,(((((data["CNT_INSTALMENT_FUTURE"])<(((( 2.0)<(data["cc_bal_SK_DPD"])) *1.))) *1.))))) +(-2.0)))>(data["AMT_CREDIT_x"])) *1.))))) +
0.088824*np.tanh(np.minimum(((2.0)) ,(((( np.tanh(((((( np.tanh(((-1.0*(( np.tanh(( data["avg_buro_buro_bal_status_2"])))))))) * 2.0)) -(((((data["avg_buro_buro_bal_status_2"])*(data["EXT_SOURCE_2"])))* 2.0)))))) * 2.0)))))+
0.100000*np.tanh(((((( data["AMT_ANNUITY_x"])+(data["EXT_SOURCE_2"])) /2.0)) *(np.minimum(((((( data["te_NAME_CONTRACT_TYPE"])>(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["AMT_ANNUITY_x"], data["te_NAME_CONTRACT_TYPE"])))*1.))) ,(( data["te_NAME_CONTRACT_TYPE"])))))) +
0.099101*np.tanh(np.where(data["cnt_NAME_CONTRACT_TYPE"]>0, data["NAME_GOODS_CATEGORY_Direct_Sales"], np.tanh(((((((( data["Active"])*(data["cnt_NAME_CONTRACT_TYPE"])))-(((((( -2.0)<(data["Active"])) *1.))* 2.0)))) * 2.0)))))+
0.098242*np.tanh(((np.minimum(((((np.where(data["avg_buro_buro_bal_status_5"]>0,(( data["avg_buro_buro_bal_status_5"])* 2.0),(( data["EXT_SOURCE_2"])*(data["avg_buro_buro_bal_status_5"])))) *(((data["EXT_SOURCE_2"])* 2.0))))),(( data["cnt_FLAG_DOCUMENT_10"])))) * 2.0)) +
0.098984*np.tanh(((((((( np.tanh(( data["EXT_SOURCE_2"])))/ 2.0)) +(((((np.minimum(((( 6.63713836669921875))),(( -2.0)))) *(data["NAME_SELLER_INDUSTRY_MLM_partners"])))-(data["EXT_SOURCE_2"])))) /2.0)) / 2.0)) +
0.099570*np.tanh(((((((((((data["NAME_GOODS_CATEGORY_Education"])+(((data["HOUR_APPR_PROCESS_START_x"])*(((data["HOUR_APPR_PROCESS_START_x"])+(((data["cnt_REG_REGION_NOT_WORK_REGION"])-(np.tanh(( 3.0)))))))))) /2.0)) <(data["cc_bal_SK_DPD"])) *1.))/ 2.0)) / 2.0)) +
0.100000*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["DEF_30_CNT_SOCIAL_CIRCLE"],(-1.0*(((((np.maximum(((( -1.0*(( data["cnt_FLAG_DOCUMENT_10"]))))),(((((data["NAME_GOODS_CATEGORY_Insurance"])>(( -1.0*(( data["DEF_30_CNT_SOCIAL_CIRCLE"])))))*1.))))) +(data["NAME_CASH_LOAN_PURPOSE_Buying_a_home"])) /2.0)))))) +
0.099883*np.tanh(((((((4.0)) <(((data["CNT_INSTALMENT_FUTURE"])*(((((data["SK_DPD"])+(data["AMT_CREDIT_y"])))+(data["NAME_GOODS_CATEGORY_Insurance"])))))) *1.))*(np.maximum(((( 5.46688318252563477))),(( 3.0)))))) +
0.074248*np.tanh(( -1.0*(((((-1.0)<(((( -3.0)+(((( data["NAME_GOODS_CATEGORY_Insurance"])+(data["NAME_PRODUCT_TYPE_walk_in"])) /2.0)))/2.0)))*1.))))) +
0.091989*np.tanh(((data["CNT_INSTALMENT"])*(((np.where(((( -1.0*(( data["SK_DPD"])))) / 2.0)>0, data["SK_DPD"],(((6.79659414291381836)) * 2.0)))* 2.0)))) +
0.099961*np.tanh(( -1.0*(((((( data["PRODUCT_COMBINATION_Cash_Street__high"])*(((( data["SK_DPD"])+(data["DAYS_TERMINATION"])) /2.0)))) / 2.0)))))+
0.100000*np.tanh(((( -1.0)>(((((( -2.0)+(data["NAME_GOODS_CATEGORY_Direct_Sales"])) /2.0)) -(((((( data["NAME_GOODS_CATEGORY_Insurance"])+(((data["SK_DPD"])-(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) /2.0)) / 2.0)))))*1.))+
0.099961*np.tanh(np.where(data["DEF_60_CNT_SOCIAL_CIRCLE"]>0, data["nans"],(((((( np.tanh(((( data["CNT_INSTALMENT_FUTURE"])+(data["DEF_60_CNT_SOCIAL_CIRCLE"])))))/ 2.0)) / 2.0)) +(((((14.63262367248535156)) >(((( 10.0)) * 2.0)))*1.))))) +
0.099922*np.tanh(((((((( data["SK_ID_PREV_y"])<(((np.minimum(((1.0)) ,(( data["avg_buro_buro_bal_status_5"])))) -(((((0.71843880414962769)) >(( -1.0*(((2.00759816169738770)))))) *1.))))) *1.))* 2.0)) * 2.0)) +
0.081633*np.tanh(np.maximum(((np.minimum(((((data["inst_AMT_PAYMENT"])*(data["DEF_60_CNT_SOCIAL_CIRCLE"])))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"]))))),(((((( -3.0)*(1.0)))+(data["DEF_60_CNT_SOCIAL_CIRCLE"])))))) +
0.061391*np.tanh(np.where(np.where(data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"]>0,(( data["cnt_WALLSMATERIAL_MODE"])* 2.0), data["cnt_FLAG_DOCUMENT_10"])>0, data["cnt_FLAG_DOCUMENT_10"],(((np.where(data["SK_ID_PREV_y"]>0, data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"], -2.0)) >(data["cnt_WALLSMATERIAL_MODE"])) *1.))) +
0.097460*np.tanh(((((( -1.0*(( np.tanh(((((( data["SK_ID_PREV_y"])*(((( 0.0)>(( -1.0*(( data["YEARS_BEGINEXPLUATATION_MODE"])))))*1.))))/ 2.0)))))))-(data["YEARS_BEGINEXPLUATATION_MODE"])))/ 2.0)) +
0.067956*np.tanh(np.where(data["AMT_ANNUITY"]>0, np.where(data["AMT_CREDIT_x"]>0, data["NAME_GOODS_CATEGORY_Direct_Sales"], data["PRODUCT_COMBINATION_Cash"]), np.maximum(((np.minimum(((data["AMT_CREDIT_y"])) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"]))))),(((( data["AMT_CREDIT_y"])/ 2.0)))))) +
0.066393*np.tanh(((((( data["DAYS_REGISTRATION"])<(np.minimum(((data["CNT_INSTALMENT"])) ,(((-1.0*(( 2.0)))))))) *1.))-(((( -1.0)>(data["DAYS_REGISTRATION"])) *1.))))+
0.099297*np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_XNA"])*(( -1.0*(( np.maximum(((data["NAME_GOODS_CATEGORY_Other"])) ,(( np.where(data["SK_DPD"]>0, data["NAME_CASH_LOAN_PURPOSE_XNA"],(-1.0*(( data["FLAG_DOCUMENT_15"])))))))))))))-(np.tanh(( data["SK_DPD"])))))+
0.098984*np.tanh(((( data["cnt_FLAG_DOCUMENT_15"])+(np.where(((( 3.0)<(data["SK_DPD"])) *1.) >0, data["SK_DPD"],(((( data["SK_DPD"])*(( -1.0*(( data["SK_DPD"])))))) / 2.0)))) /2.0)) +
0.099961*np.tanh(np.where(data["MONTHS_BALANCE"]>0,(((((data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])<(data["SK_DPD"])) *1.))* 2.0),(((((((( data["SK_DPD"])>(data["AMT_CREDIT_x"])) *1.))*(3.0)))<(data["NAME_GOODS_CATEGORY_Education"])) *1.))) +
0.097577*np.tanh(((((((data["NAME_GOODS_CATEGORY_Insurance"])-(data["NAME_GOODS_CATEGORY_Medical_Supplies"])))* 2.0)) *(((( np.maximum(((((data["MONTHS_BALANCE"])*(data["NAME_GOODS_CATEGORY_Insurance"])))) ,(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))) >(((3.0)*(0.0)))) *1.))))+
0.098202*np.tanh(((np.minimum(((data["cnt_FLAG_DOCUMENT_10"])) ,(( np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(((( -1.0)*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["NAME_GOODS_CATEGORY_Education"])) /2.0)))))))))) -(data["FLAG_CONT_MOBILE"])))+
0.099766*np.tanh(((data["FLAG_DOCUMENT_18"])*(np.maximum(((np.where(data["NAME_YIELD_GROUP_low_action"]>0,(1.0), data["NAME_YIELD_GROUP_low_action"]))),(( data["NAME_YIELD_GROUP_low_action"])))))) +
0.099883*np.tanh(np.minimum(((data["NAME_GOODS_CATEGORY_Direct_Sales"])) ,(( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0,(((np.tanh(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))<(((((data["cnt_FLAG_DOCUMENT_18"])/ 2.0)) *(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) *1.) , data["cnt_FLAG_DOCUMENT_18"])))))+
0.099140*np.tanh(np.minimum(((((np.minimum(((np.where(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"]>0, 0.0, data["cnt_FLAG_DOCUMENT_18"]))),(((-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))))* 2.0))),(((( data["NAME_GOODS_CATEGORY_Weapon"])*(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])))))) +
0.094724*np.tanh(((((((data["NAME_GOODS_CATEGORY_Fitness"])*(data["NAME_GOODS_CATEGORY_Education"])))+(((data["FLAG_DOCUMENT_4"])*(np.minimum(((data["NAME_GOODS_CATEGORY_Fitness"])) ,(( data["FLAG_DOCUMENT_10"])))))))) +(( -1.0*(( data["NAME_GOODS_CATEGORY_Direct_Sales"])))))) +
0.099101*np.tanh(np.minimum(((((data["cnt_FLAG_DOCUMENT_17"])-(data["FLAG_DOCUMENT_10"])))) ,(((( data["cnt_FLAG_DOCUMENT_17"])-(((np.maximum(((data["NAME_PAYMENT_TYPE_Cashless_from_the_account_of_the_employer"])) ,(((((( data["PRODUCT_COMBINATION_Cash_X_Sell__high"])-(((3.0)* 2.0)))) / 2.0)))))* 2.0)))))))+
0.099609*np.tanh(((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])) ,(((((((( data["WEEKDAY_APPR_PROCESS_START_FRIDAY"])+(((( data["NAME_CASH_LOAN_PURPOSE_Gasification___water_supply"])>(((data["cu__currency_3"])* 2.0)))*1.))) /2.0)) >(2.0)) *1.))))) +(((data["cu__currency_3"])* 2.0)))) +
0.076514*np.tanh(( -1.0*(((((((-1.0)-(-2.0)))<(( -1.0*(( np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["SK_ID_BUREAU"],(((data["WEEKDAY_APPR_PROCESS_START_SUNDAY"])+(((2.0)*(data["AMT_CREDIT_y"])))) /2.0)))))))*1.))))) +
0.099336*np.tanh(( -1.0*(((((data["CNT_PAYMENT"])>(((2.0)-(((((( data["NAME_GOODS_CATEGORY_Insurance"])*(np.where(data["inst_AMT_PAYMENT"]>0,(2.21301603317260742), data["NAME_PORTFOLIO_Cash"])))) >(0.0)) *1.))))) *1.))))) +
0.089097*np.tanh(np.tanh(( np.tanh(((((data["WEEKDAY_APPR_PROCESS_START_THURSDAY"])>(((( 1.0)>(((data["CNT_PAYMENT"])*(data["CNT_PAYMENT"])))) *1.))) *1.))))))+
0.099883*np.tanh(np.where(data["SK_DPD"]>0, data["DAYS_EMPLOYED"],(((((np.tanh(((( data["DAYS_EMPLOYED"])/ 2.0)))) <(((data["AMT_CREDIT_y"])-(3.0)))) *1.))* 2.0)))+
0.099922*np.tanh(((np.tanh(( np.where(data["WEEKDAY_APPR_PROCESS_START_THURSDAY"]>0,(( data["PRODUCT_COMBINATION_Cash_X_Sell__high"])* 2.0),(-1.0*(( np.where(data["NAME_PRODUCT_TYPE_x_sell"]>0, data["inst_AMT_PAYMENT"], data["PRODUCT_COMBINATION_Cash_X_Sell__high"])))))))) / 2.0)) +
0.099883*np.tanh(((((data["SK_DPD"])*(( -1.0*(((( data["Demand"])+(data["SK_ID_BUREAU"])))))))) +(data["Demand"])))+
0.096913*np.tanh(((((data["CNT_INSTALMENT_FUTURE"])*(((((((((data["PRODUCT_COMBINATION_Cash"])>(1.0)) *1.))+(np.tanh(( data["PRODUCT_COMBINATION_Cash_X_Sell__high"])))) /2.0)) / 2.0)))) * 2.0)) +
0.099336*np.tanh(( -1.0*(( np.where(data["DAYS_LAST_DUE"]>0, data["SK_DPD"],(((((data["cc_bal_cc_bal_status__Refused"])* 2.0)) +(((np.where(data["SK_DPD"]>0, data["te_FLAG_DOCUMENT_11"], data["PRODUCT_COMBINATION_Cash_X_Sell__high"])) / 2.0)))/2.0)))))) +
0.099766*np.tanh(((0.0)+(np.where(data["cc_bal_cc_bal_status__Refused"]>0, np.where(data["SK_DPD"]>0, data["CNT_INSTALMENT_FUTURE"], np.minimum(((( 5.0))),(( data["Demand"])))) , np.minimum(((data["SK_DPD"])) ,(( 3.0)))))))+
0.099844*np.tanh(( -1.0*(((( -3.0)*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])>(((( np.where(1.0>0,(((data["cc_bal_cc_bal_status__Refused"])+(data["SK_DPD"])) /2.0),(-1.0*(( data["avg_buro_buro_bal_status_5"])))))>(data["avg_buro_buro_bal_status_5"])) *1.))) *1.))))))) +
0.099805*np.tanh(np.minimum(((np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["AMT_REQ_CREDIT_BUREAU_MON"], data["cc_bal_cc_bal_status__Refused"]))),(((( np.maximum(((((data["cnt_FLAG_DOCUMENT_10"])+(data["cc_bal_cc_bal_status__Refused"])))) ,(((((7.0)) -(data["FLAG_DOCUMENT_10"])))))) -(data["AMT_REQ_CREDIT_BUREAU_MON"])))))) +
0.099336*np.tanh(((((( data["te_ORGANIZATION_TYPE"])>(((( 3.34467959403991699)) -(np.maximum(((( -1.0*(((( data["SK_DPD"])*(data["te_ORGANIZATION_TYPE"]))))))),(( data["te_ORGANIZATION_TYPE"])))))))*1.))+(((data["cc_bal_cc_bal_status__Refused"])/ 2.0)))) +
0.099609*np.tanh(np.minimum(((np.tanh(( np.maximum(((( -1.0*(( data["ORGANIZATION_TYPE"]))))),(( data["CNT_INSTALMENT_FUTURE"]))))))),(( data["cnt_FLAG_DOCUMENT_4"])))) +
0.099570*np.tanh(np.maximum(((((data["SK_DPD"])*(((0.0)-(data["cc_bal_AMT_DRAWINGS_OTHER_CURRENT"])))))) ,(((((data["SK_DPD"])>(((( 13.89245414733886719)) +(np.tanh(( 0.0)))))) *1.))))) +
0.099766*np.tanh(((data["HOUR_APPR_PROCESS_START_x"])*(np.minimum(((2.0)) ,(((((data["NAME_GOODS_CATEGORY_Insurance"])+(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(((data["cnt_FLAG_OWN_REALTY"])*(np.minimum(((0.0)) ,(( data["cnt_ORGANIZATION_TYPE"])))))))/2.0)))/2.0)))))))+
0.083548*np.tanh(((((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])/ 2.0)) +(data["cc_bal_CNT_DRAWINGS_POS_CURRENT"])) /2.0)) >(((((( data["CNT_INSTALMENT"])<(data["HOUR_APPR_PROCESS_START_x"])) *1.))* 2.0)))*1.))+
0.099883*np.tanh(((( -1.0*(((( np.where(3.0>0, data["te_REGION_RATING_CLIENT"], -3.0)) *(((((( -2.0)>(np.minimum(((data["te_REGION_RATING_CLIENT"])) ,(( data["te_REGION_RATING_CLIENT"])))))*1.))-(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))))))) / 2.0)) +
0.099844*np.tanh(np.where(((data["NAME_GOODS_CATEGORY_Insurance"])*(np.maximum(((0.0)) ,(( data["cnt_ORGANIZATION_TYPE"])))))>0, data["cnt_REGION_RATING_CLIENT"], data["NAME_GOODS_CATEGORY_Direct_Sales"])) +
0.056467*np.tanh(((data["HOUR_APPR_PROCESS_START_x"])*(np.maximum(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(((data["cnt_REGION_RATING_CLIENT"])/ 2.0))))),(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))) +
0.099844*np.tanh(((((((data["CNT_INSTALMENT"])*(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["HOUR_APPR_PROCESS_START_y"])))))*(data["HOUR_APPR_PROCESS_START_y"])))*(((( 3.0)>(-3.0)) *1.))))+
0.095662*np.tanh(np.minimum(((((( data["NAME_GOODS_CATEGORY_Insurance"])>(data["te_HOUR_APPR_PROCESS_START_x"])) *1.))) ,(((((((data["te_HOUR_APPR_PROCESS_START_x"])+(np.tanh(( data["cnt_REGION_RATING_CLIENT"])))) /2.0)) / 2.0)))))+
0.099179*np.tanh(np.where(np.tanh(( data["te_FLAG_DOCUMENT_17"])) >0,(0.04655243083834648),(-1.0*(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(( -1.0*(((((( -1.0*(( -3.0)))) +(((data["te_FLAG_DOCUMENT_17"])-(data["cnt_ORGANIZATION_TYPE"])))) /2.0)))))) *1.))))))+
0.099609*np.tanh(( -1.0*(((((3.0)<(((data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])+(( -1.0*(((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["te_FLAG_CONT_MOBILE"])))*(data["te_FLAG_CONT_MOBILE"])))))))))*1.))))) +
0.099922*np.tanh(np.minimum(((0.0)) ,(((( data["FLAG_DOCUMENT_3"])+(np.minimum(((((((1.0)-(data["te_LIVE_REGION_NOT_WORK_REGION"])))+(3.0)))) ,(((( data["te_LIVE_REGION_NOT_WORK_REGION"])-(((-2.0)* 2.0)))))))))))) +
0.099648*np.tanh(((( np.maximum(((data["te_REG_REGION_NOT_WORK_REGION"])) ,(((((np.tanh(( 2.0)))+(((( 3.0)+(data["te_FLAG_DOCUMENT_20"])) /2.0)))/2.0)))))<(data["REG_REGION_NOT_WORK_REGION"])) *1.))+
0.099687*np.tanh(((((14.74264430999755859)) <(((data["te_FLAG_EMAIL"])*(np.minimum(((( 14.74264430999755859))),(( np.minimum(((( 5.0))),(((( data["te_FLAG_EMAIL"])*(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0,(14.74264430999755859), 0.0)))))))))))))*1.))+
0.098398*np.tanh(np.where(data["te_FLAG_DOCUMENT_20"]>0,(((( 4.54344129562377930)) <(( -1.0*(( data["te_FLAG_EMAIL"])))))*1.) ,(-1.0*(((( data["NAME_GOODS_CATEGORY_Insurance"])+(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))))+
0.098750*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["FLAG_EMAIL"],(((((( data["FLAG_EMAIL"])* 2.0)) * 2.0)) *(data["NAME_GOODS_CATEGORY_Direct_Sales"])))) +
0.099648*np.tanh(((((( data["te_FLAG_CONT_MOBILE"])+(((data["te_FLAG_EMAIL"])*(np.where(data["te_FLAG_EMAIL"]>0, -1.0,(( 2.0)* 2.0)))))) /2.0)) *(data["NAME_GOODS_CATEGORY_Direct_Sales"])))+
0.098710*np.tanh(( -1.0*(((((( data["NAME_SELLER_INDUSTRY_Tourism"])-(((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(((np.tanh(((((((( 14.94352722167968750)) <(data["NAME_GOODS_CATEGORY_Direct_Sales"])) *1.))/ 2.0)))) -(data["cnt_FLAG_DOCUMENT_10"])))))/ 2.0)))) / 2.0)))))+
0.078429*np.tanh(((np.maximum(((((( data["PRODUCT_COMBINATION_POS_household_without_interest"])>(( -1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))*1.))) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])/ 2.0)))))*(((data["te_FLAG_DOCUMENT_20"])*(data["te_FLAG_DOCUMENT_20"])))))+
0.099726*np.tanh(((((((((((( data["te_REG_REGION_NOT_LIVE_REGION"])*(data["NAME_GOODS_CATEGORY_Insurance"])))*(data["te_REG_REGION_NOT_LIVE_REGION"])))/ 2.0)) <(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))*(((( data["CNT_INSTALMENT"])<(-1.0)) *1.))))+
0.099258*np.tanh(((((data["te_FLAG_DOCUMENT_12"])*(((0.0)-(((((( data["te_FLAG_DOCUMENT_7"])-(data["te_FLAG_DOCUMENT_17"])))<(((((data["NAME_GOODS_CATEGORY_Insurance"])/ 2.0)) / 2.0)))*1.))))))*(data["te_REG_REGION_NOT_LIVE_REGION"])))+
0.097538*np.tanh(np.where(data["NAME_TYPE_SUITE_Other_A"]>0, data["CNT_INSTALMENT"], np.tanh(( np.where(data["CNT_INSTALMENT"]>0, np.maximum(((-3.0)) ,(( data["NAME_TYPE_SUITE_Other_A"]))), data["NAME_GOODS_CATEGORY_Fitness"])))))+
0.099062*np.tanh(np.tanh(((( np.where(data["CNT_INSTALMENT_FUTURE"]>0, data["NAME_GOODS_CATEGORY_Insurance"],(( data["inst_AMT_INSTALMENT"])*(np.maximum(((data["FLAG_DOCUMENT_2"])) ,(( np.maximum(((data["inst_AMT_INSTALMENT"])) ,(( data["NAME_GOODS_CATEGORY_Fitness"])))))))))) / 2.0)))) +
0.099297*np.tanh(np.where(np.where(data["NAME_TYPE_SUITE_Other_A"]>0,(( data["NAME_TYPE_SUITE_Other_A"])-(( 5.69756412506103516))), data["FLAG_DOCUMENT_2"])>0,(10.03394317626953125),(((((((( data["inst_AMT_PAYMENT"])* 2.0)) +(( 11.95959758758544922)))/2.0)) >(( 10.03394317626953125)))*1.))) +
0.099414*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Direct_Sales"]>0, data["inst_AMT_PAYMENT"],(((((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(( 3.0)))) * 2.0)) *(data["inst_AMT_PAYMENT"])))+(0.0)))) +
0.099922*np.tanh(np.minimum(((((data["CNT_INSTALMENT_FUTURE"])*(np.tanh(( np.maximum(((data["AMT_CREDIT_y"])) ,(((( data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])+(data["AMT_CREDIT_y"]))))))))))),(((((((data["CNT_INSTALMENT_FUTURE"])*(data["AMT_CREDIT_y"])))>(( 4.0)))*1.))))) +
0.098945*np.tanh(((((-1.0*(( data["NAME_PORTFOLIO_XNA"])))) >(((3.0)+(((data["NAME_PORTFOLIO_XNA"])-(data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])))))) *1.))+
0.046698*np.tanh(((np.tanh(( np.where(((data["NAME_GOODS_CATEGORY_Insurance"])+(data["PRODUCT_COMBINATION_Cash"])) >0, np.tanh(((((((-1.0*(( data["NAME_YIELD_GROUP_XNA"])))) * 2.0)) *(data["inst_AMT_PAYMENT"])))) , data["NAME_GOODS_CATEGORY_Insurance"])))) * 2.0)) +
0.091403*np.tanh(((np.minimum(((((( data["inst_AMT_INSTALMENT"])>(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))) ,(( data["inst_AMT_INSTALMENT"])))) *(((( 0.0)+(((( data["NAME_YIELD_GROUP_middle"])<(1.0)) *1.))) /2.0)))) +
0.099726*np.tanh(((((np.minimum(((0.0)) ,(((((((np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( data["AMT_ANNUITY"])))) <(( 3.0)))*1.))-(1.0)))))) *(((data["AMT_GOODS_PRICE_y"])/ 2.0)))) * 2.0)) +
0.099844*np.tanh(((((((((data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])>(-1.0)) *1.))<(((data["NAME_SELLER_INDUSTRY_Connectivity"])*(((((((data["CNT_INSTALMENT"])<(data["NAME_YIELD_GROUP_middle"])) *1.))+(((( data["inst_AMT_PAYMENT"])>(0.0)) *1.))) /2.0)))))*1.))/ 2.0)) +
0.099766*np.tanh(((data["CNT_INSTALMENT"])*(((np.minimum(((((data["NAME_PORTFOLIO_Cash"])*(data["inst_AMT_PAYMENT"])))) ,(((((((( -2.0)* 2.0)) *(data["NAME_GOODS_CATEGORY_Insurance"])))/ 2.0)))))+(data["NAME_GOODS_CATEGORY_Direct_Sales"])))))+
0.098945*np.tanh(( -1.0*(((((((( 0.0)>(((data["NAME_YIELD_GROUP_XNA"])* 2.0)))*1.))<(((-2.0)+(( -1.0*(((( data["Completed"])*(( -1.0*(( data["inst_AMT_PAYMENT"])))))))))))) *1.))))) +
0.098202*np.tanh(((((( np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(( data["CNT_INSTALMENT_FUTURE"])))) >(((((((1.0)/ 2.0)) +(2.0)))+(data["NAME_YIELD_GROUP_middle"])))) *1.))/ 2.0)) +
0.099297*np.tanh(((((( data["NAME_YIELD_GROUP_middle"])+(( 2.0)))/2.0)) *(np.where(data["NAME_YIELD_GROUP_middle"]>0, np.tanh(( data["SK_DPD"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(((np.tanh(((-1.0*(( data["inst_AMT_PAYMENT"])))))) / 2.0)))))))+
0.100000*np.tanh(((data["NAME_GOODS_CATEGORY_Insurance"])-(np.where(-3.0>0, data["NAME_GOODS_CATEGORY_Fitness"],(((( 2.52537202835083008)) <(np.where(data["DAYS_FIRST_DUE"]>0, data["CNT_INSTALMENT_FUTURE"], data["FLAG_DOCUMENT_4"])))*1.))))) +
0.099687*np.tanh(((( np.where(data["inst_AMT_INSTALMENT"]>0, data["inst_AMT_INSTALMENT"], data["NAME_GOODS_CATEGORY_Medicine"])) >(((( np.tanh(( data["NAME_GOODS_CATEGORY_Medicine"])))+(((( 4.78901720046997070)) -(1.0)))) /2.0)))*1.))+
0.098828*np.tanh(((((((((((((data["DAYS_FIRST_DUE"])>(((( data["NAME_GOODS_CATEGORY_Education"])<(((data["PRODUCT_COMBINATION_Cash_Street__low"])*(3.0)))) *1.))) *1.))*(data["te_WEEKDAY_APPR_PROCESS_START"])))/ 2.0)) >(0.0)) *1.))*(data["te_WEEKDAY_APPR_PROCESS_START"])))+
0.091989*np.tanh(((((data["PRODUCT_COMBINATION_POS_household_with_interest"])*(( -1.0*(((( data["PRODUCT_COMBINATION_Cash_Street__low"])*(((( data["te_FLAG_DOCUMENT_20"])+(((((( data["PRODUCT_COMBINATION_Cash_Street__low"])<(( -1.0*(( data["cnt_FLAG_DOCUMENT_10"])))))*1.))/ 2.0)))/2.0)))))))))* 2.0)) +
0.081516*np.tanh(np.minimum(((0.0)) ,(((( np.where(data["NAME_PORTFOLIO_XNA"]>0, 3.0,(-1.0*(( data["NAME_GOODS_CATEGORY_Fitness"])))))-(((1.0)*(data["inst_AMT_PAYMENT"])))))))) +
0.097773*np.tanh(((((( np.where(data["inst_AMT_INSTALMENT"]>0, data["te_FLAG_DOCUMENT_20"],(-1.0*(((((data["AMT_ANNUITY"])>(np.tanh(( data["CNT_INSTALMENT_FUTURE"])))) *1.))))))+(data["inst_AMT_INSTALMENT"])) /2.0)) / 2.0)) +
0.099883*np.tanh(((( np.minimum(((((((( -1.0*(( np.minimum(((0.0)) ,(((( data["AMT_GOODS_PRICE_y"])-(-1.0)))))))))+(data["inst_AMT_INSTALMENT"])))/ 2.0))),(( data["inst_AMT_INSTALMENT"])))) >(data["inst_AMT_PAYMENT"])) *1.))+
0.099961*np.tanh(np.minimum(((data["PRODUCT_COMBINATION_Cash_Street__low"])) ,(((((-1.0*(((((2.0)<(np.where(data["PRODUCT_COMBINATION_Cash_Street__low"]>0,(( data["PRODUCT_COMBINATION_Cash_Street__low"])/ 2.0), np.tanh(( -2.0)))))*1.))))) * 2.0)))))+
0.098906*np.tanh(((((( data["te_FLAG_DOCUMENT_20"])-(data["inst_AMT_PAYMENT"])))>(((((np.minimum(((np.tanh(((( data["te_REG_REGION_NOT_LIVE_REGION"])/ 2.0))))),(( data["te_FLAG_DOCUMENT_20"])))) +(( 2.18707370758056641)))) / 2.0)))*1.))+
0.097890*np.tanh(((((((( 0.0)+(( -1.0*(( data["te_FLAG_CONT_MOBILE"])))))/2.0)) *(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(( -1.0*(((((5.0)) *(data["te_SK_ID_CURR"])))))))*1.))))/ 2.0)) +
0.075615*np.tanh(((((( data["SK_ID_PREV_y"])<(np.tanh(((((-1.0*(((((3.0)<(-2.0)) *1.))))) -(np.tanh(((( 3.0)/ 2.0)))))))))*1.))/ 2.0)) +
0.099883*np.tanh(((((((data["NAME_CLIENT_TYPE_Repeater"])*(np.maximum(((data["AMT_CREDIT_x"])) ,(((((data["NAME_YIELD_GROUP_middle"])>(2.0)) *1.))))))) / 2.0)) / 2.0)) +
0.099726*np.tanh(((data["te_FLAG_CONT_MOBILE"])*(((((( data["avg_buro_buro_bal_status_2"])-(np.tanh(((( data["inst_AMT_PAYMENT"])*(((((((0.0)<(-3.0)) *1.))+(data["te_FLAG_CONT_MOBILE"])) /2.0)))))))) +(data["avg_buro_buro_bal_status_2"])) /2.0)))) +
0.086596*np.tanh(((data["AMT_ANNUITY"])*(((( -1.0)>(((np.maximum(((-1.0)) ,(( 2.0)))) +(((((data["AMT_CREDIT_x"])+(data["AMT_APPLICATION"])))* 2.0)))))*1.))))+
0.097694*np.tanh(((((np.where(((data["AMT_ANNUITY_x"])*(data["inst_NUM_INSTALMENT_VERSION"])) >0, data["NAME_CLIENT_TYPE_New"], np.tanh(( data["inst_NUM_INSTALMENT_VERSION"])))) / 2.0)) / 2.0)) +
0.098554*np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(np.maximum(((data["NAME_PORTFOLIO_POS"])) ,(((( np.minimum(((((((0.0)) >(((data["PRODUCT_COMBINATION_Cash"])* 2.0)))*1.))) ,(( 0.0)))) -(data["te_FLAG_DOCUMENT_20"])))))))) * 2.0)) +
0.099492*np.tanh(((((data["avg_buro_buro_bal_status_2"])*(data["te_FLAG_DOCUMENT_20"])))*(((( data["AMT_CREDIT_y"])<(((3.0)/ 2.0)))*1.))))+
0.075772*np.tanh(( -1.0*(((( np.minimum(((np.tanh(((-1.0*(( data["avg_buro_buro_bal_status_1"]))))))),(( data["avg_buro_buro_bal_status_4"])))) *(((data["CNT_INSTALMENT_FUTURE"])* 2.0)))))))+
0.087769*np.tanh(((np.minimum(((((data["cc_bal_SK_DPD"])*(data["MONTHS_BALANCE"])))) ,(( data["cnt_NAME_INCOME_TYPE"])))) *(((data["MONTHS_BALANCE"])/ 2.0)))) +
0.100000*np.tanh(((((((((data["inst_DAYS_INSTALMENT"])-(((( data["inst_DAYS_INSTALMENT"])>(np.where(data["avg_buro_buro_bal_status_2"]>0, data["AMT_CREDIT_y"],(4.0)))) *1.))))/ 2.0)) / 2.0)) / 2.0)) +
0.099844*np.tanh(((((-3.0)*(data["avg_buro_buro_bal_status_4"])))*(((-2.0)*(( -1.0*(((((( -1.0*(( data["avg_buro_buro_bal_status_2"])))) +(np.maximum(((data["PRODUCT_COMBINATION_Cash"])) ,(( np.tanh(( 0.0)))))))/2.0)))))))))+
0.099844*np.tanh(((( np.where(data["avg_buro_buro_bal_status_4"]>0,(-1.0*(( data["AMT_ANNUITY_x"]))), np.tanh(( data["avg_buro_buro_bal_status_4"])))) +(np.tanh(( data["AMT_ANNUITY_x"])))) /2.0)) +
0.099766*np.tanh(((np.where(data["avg_buro_buro_bal_status_3"]>0, data["avg_buro_buro_bal_status_4"],(((data["nans"])>(np.maximum(((0.0)) ,(((-1.0*(( data["AMT_ANNUITY_x"])))))))) *1.))) *(data["AMT_ANNUITY_x"])))+
0.099766*np.tanh(np.minimum(((((data["AMT_ANNUITY_x"])*(data["AMT_GOODS_PRICE_x"])))) ,(((( data["avg_buro_buro_bal_status_2"])*(((((3.0)*(data["AMT_GOODS_PRICE_x"])))-(( -1.0*(( data["CNT_INSTALMENT"])))))))))))+
0.099805*np.tanh(((np.minimum(((((((((data["AMT_CREDIT_x"])+(-3.0)) /2.0)) >(data["avg_buro_buro_bal_status_4"])) *1.))) ,(((( data["AMT_CREDIT_x"])+(1.0)))))) * 2.0)) +
0.096835*np.tanh(( -1.0*(((( np.minimum(((((data["AMT_ANNUITY_x"])-(((-1.0)+(((3.0)*(((( 2.0)<(data["avg_buro_buro_bal_status_2"])) *1.))))))))) ,(((0.0)))))* 2.0)))))+
0.087182*np.tanh(np.minimum(((data["avg_buro_buro_bal_status_4"])) ,(( np.minimum(((((( -1.0*(((( np.where(((data["cnt_FLAG_DOCUMENT_3"])* 2.0)>0,(3.0), -2.0)) * 2.0)))))*(data["avg_buro_buro_bal_status_2"])))) ,(((-1.0*(( data["avg_buro_buro_bal_status_4"])))))))))) +
0.099844*np.tanh(((-3.0)*(((((( data["AMT_CREDIT_x"])*(-3.0)))>(np.maximum(((1.0)) ,(((( data["avg_buro_buro_bal_status_2"])-(((( data["AMT_CREDIT_x"])+(((-3.0)* 2.0)))/2.0)))))))) *1.))))+
0.099961*np.tanh(((( data["te_FLAG_DOCUMENT_8"])<(((np.where(data["avg_buro_buro_bal_status_2"]>0, -1.0,(-1.0*(( data["te_FLAG_DOCUMENT_8"])))))+(-3.0)))) *1.))+
0.098828*np.tanh(((((( data["avg_buro_buro_bal_status_2"])>(np.where(-1.0>0, 0.0, np.minimum(((2.0)) ,(( data["avg_buro_buro_bal_status_2"])))))) *1.))*(((2.0)*(data["te_FLAG_DOCUMENT_20"])))))+
0.061704*np.tanh(np.where(data["FLAG_DOCUMENT_8"]>0, data["te_FLAG_DOCUMENT_20"],(( np.where(data["avg_buro_buro_bal_status_4"]>0, data["FLAG_DOCUMENT_8"], 0.0)) *(data["te_FLAG_DOCUMENT_20"])))) +
0.069637*np.tanh(((((np.maximum(((data["te_FLAG_DOCUMENT_7"])) ,(( 0.0)))) *(((data["te_FLAG_DOCUMENT_3"])/ 2.0)))) / 2.0)) +
0.083587*np.tanh(((np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["FLAG_DOCUMENT_6"], np.minimum(((( 7.0))),(((( data["te_FLAG_MOBIL"])*(((( 0.0)<(data["FLAG_DOCUMENT_6"])) *1.))))))))/ 2.0)) +
0.099805*np.tanh(((np.minimum(((data["HOUR_APPR_PROCESS_START_y"])) ,(((-1.0*(((((3.0)<(((((((data["AMT_ANNUITY_x"])<(data["avg_buro_buro_bal_status_2"])) *1.))+(data["avg_buro_buro_bal_status_2"])) /2.0)))*1.))))))))*(data["avg_buro_buro_bal_status_2"])))+
0.099766*np.tanh(np.where(np.minimum(((( -1.0*(( data["avg_buro_buro_bal_status_4"]))))),(((((np.tanh(( data["NAME_GOODS_CATEGORY_Construction_Materials"])))<(((data["NAME_GOODS_CATEGORY_Construction_Materials"])* 2.0)))*1.))))>0, data["cnt_FLAG_DOCUMENT_10"],(((data["NAME_GOODS_CATEGORY_Construction_Materials"])>(data["avg_buro_buro_bal_status_4"])) *1.))) +
0.099961*np.tanh(np.where(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)>0, np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["cnt_NAME_TYPE_SUITE"],(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)) ,(( np.tanh(((( data["NAME_SELLER_INDUSTRY_Construction"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))*(data["NAME_SELLER_INDUSTRY_Construction"])))) +
0.099336*np.tanh(np.minimum(((np.minimum(((np.where(data["NAME_GOODS_CATEGORY_Weapon"]>0, -3.0, data["avg_buro_buro_bal_status_4"]))),(( data["cnt_FLAG_DOCUMENT_10"]))))),(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["FLAG_DOCUMENT_4"])* 2.0)))))))+
0.099922*np.tanh(np.minimum(((( -1.0*(((( data["FLAG_DOCUMENT_15"])-(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0,(( data["FLAG_DOCUMENT_15"])* 2.0), data["cnt_FLAG_DOCUMENT_10"])))))))) ,(((( data["FLAG_DOCUMENT_15"])*(data["AMT_ANNUITY_x"])))))) +
0.099375*np.tanh(( -1.0*(((((((data["AMT_CREDIT_y"])>(3.0)) *1.))*(np.where(data["avg_buro_buro_bal_status_4"]>0, np.minimum(((-3.0)) ,(( data["AMT_CREDIT_y"]))), 2.0)))))))+
0.059203*np.tanh(((data["te_FLAG_DOCUMENT_3"])*(((( data["inst_AMT_PAYMENT"])>(((( -3.0)<(np.tanh(( np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))*1.))) *1.))))+
0.098124*np.tanh(((((( data["te_FLAG_DOCUMENT_6"])-(((( data["Amortized_debt"])<(np.maximum(((((data["inst_AMT_PAYMENT"])*(((data["NAME_GOODS_CATEGORY_Direct_Sales"])* 2.0))))),(( data["avg_buro_buro_bal_status_4"])))))*1.))))>(data["inst_AMT_PAYMENT"])) *1.))+
0.099101*np.tanh(np.tanh(((((((np.tanh(( np.tanh(((( data["cnt_FLAG_DOCUMENT_6"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))* 2.0)) <(np.minimum(((data["CHANNEL_TYPE_Stone"])) ,(( data["FLAG_DOCUMENT_6"])))))*1.))))+
0.100000*np.tanh(((data["avg_buro_buro_bal_status_4"])*(np.where(data["CNT_INSTALMENT"]>0,(( -2.0)-(data["LIVINGAPARTMENTS_MEDI"])) ,(((2.0)<(data["avg_buro_buro_bal_status_4"])) *1.))))) +
0.089332*np.tanh(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((((data["NAME_PAYMENT_TYPE_Cash_through_the_bank"])+(np.maximum(((((data["inst_AMT_PAYMENT"])*(((-3.0)+(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))) ,(( data["RATE_INTEREST_PRIVILEGED"])))))/2.0)))))+
0.099648*np.tanh(np.where(data["avg_buro_buro_bal_status_4"]>0,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["NAME_TYPE_SUITE_Unaccompanied"])) , np.tanh(((( np.where(data["NAME_PORTFOLIO_XNA"]>0, data["NAME_TYPE_SUITE_Unaccompanied"], 0.0)) *(data["cnt_NAME_INCOME_TYPE"])))))) +
0.083079*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["te_FLAG_DOCUMENT_3"],(((((((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["avg_buro_buro_bal_status_4"])/ 2.0)))) -(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])))* 2.0)) *(((data["avg_buro_buro_bal_status_4"])+(data["avg_buro_buro_bal_status_4"])))))) +
0.076671*np.tanh(((((( 1.0)* 2.0)) <(((((np.where(((data["NAME_PAYMENT_TYPE_XNA"])*(((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) * 2.0)))>0, data["NAME_YIELD_GROUP_XNA"], data["cnt_FLAG_DOCUMENT_17"])) *(3.0)))/ 2.0)))*1.))+
0.099297*np.tanh(((data["CHANNEL_TYPE_Credit_and_cash_offices"])*(((((((( data["NAME_CONTRACT_STATUS_Approved"])-(( -1.0*(( np.tanh(( np.maximum(((data["NAME_YIELD_GROUP_XNA"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))))))+(data["cc_bal_SK_ID_PREV"])) /2.0)) / 2.0)))) +
0.099961*np.tanh(((np.where(data["NAME_CASH_LOAN_PURPOSE_XNA"]>0, 2.0, data["CHANNEL_TYPE_Credit_and_cash_offices"])) *(np.where(((( np.tanh(( data["NAME_CONTRACT_STATUS_Unused_offer"])))+(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)>0, data["NAME_PORTFOLIO_POS"],(-1.0*(( 0.0)))))))+
0.051700*np.tanh(np.tanh(((((data["cnt_NAME_INCOME_TYPE"])>(((((1.25729477405548096)) +(((((((data["NAME_SELLER_INDUSTRY_XNA"])-(np.maximum(((data["CHANNEL_TYPE_Stone"])) ,(( 0.0)))))) * 2.0)) +(( 1.98952722549438477)))))/2.0)))*1.))))+
0.100000*np.tanh(((((( -1.0*(( data["cnt_EMERGENCYSTATE_MODE"])))) *(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["NAME_INCOME_TYPE"],(-1.0*(( data["cnt_FLAG_DOCUMENT_17"])))))))* 2.0)) +
0.099726*np.tanh(((((( np.where(data["avg_buro_buro_bal_status_4"]>0, data["AMT_REQ_CREDIT_BUREAU_QRT"], data["NAME_CASH_LOAN_PURPOSE_Business_development"])) >(((( np.maximum(((-1.0)) ,(( 0.0)))) >(-3.0)) *1.))) *1.))-(data["CHANNEL_TYPE_Car_dealer"])))+
0.092927*np.tanh(np.minimum(((((np.where(data["te_WALLSMATERIAL_MODE"]>0, data["EXT_SOURCE_1"],(( data["EXT_SOURCE_1"])*(data["NAME_INCOME_TYPE"])))) * 2.0))),(( np.tanh(((( data["EXT_SOURCE_1"])*(data["NAME_INCOME_TYPE"])))))))) +
0.100000*np.tanh(np.tanh(( np.where(np.tanh(((( data["EXT_SOURCE_1"])*(((data["EXT_SOURCE_1"])/ 2.0)))))>0,(((data["DAYS_BIRTH"])<(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(3.0)) *1.))) *1.) , data["DAYS_BIRTH"])))) +
0.099961*np.tanh(( -1.0*(((((data["cnt_FLAG_DOCUMENT_6"])>(((( data["DAYS_BIRTH"])<(((( 2.54294586181640625)) / 2.0)))*1.))) *1.))))) +
0.099961*np.tanh(((data["EXT_SOURCE_1"])*(( -1.0*(( np.tanh(((( np.tanh(((((data["CNT_FAM_MEMBERS"])>(np.tanh(( data["EXT_SOURCE_1"])))) *1.))))+(((data["cnt_DAYS_BIRTH"])/ 2.0)))))))))))+
0.099961*np.tanh(((np.tanh(((((data["cnt_DAYS_BIRTH"])+(data["EXT_SOURCE_1"])) /2.0)))) *(((((-1.0*(( data["DAYS_EMPLOYED"])))) +(( -1.0*(((( 2.0)/ 2.0)))))) /2.0)))) +
0.099805*np.tanh(((((((((((( data["NAME_GOODS_CATEGORY_Insurance"])+(data["CNT_FAM_MEMBERS"])) /2.0)) *(data["cnt_CODE_GENDER"])))-(((( data["CNT_CHILDREN"])>(( -1.0*(( -2.0)))))*1.))))/ 2.0)) / 2.0)) +
0.099883*np.tanh(((( data["DAYS_ID_PUBLISH"])>(((2.0)-(np.tanh(( np.tanh(((((data["cnt_CODE_GENDER"])+(((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) * 2.0)))/2.0)))))))))*1.))+
0.089175*np.tanh(((((((((data["avg_buro_buro_bal_status_4"])+(((((( np.where(data["avg_buro_buro_bal_status_4"]>0, data["WALLSMATERIAL_MODE"], data["WALLSMATERIAL_MODE"])) +(((data["HOUSETYPE_MODE"])/ 2.0)))/2.0)) * 2.0)))) * 2.0)) *(data["avg_buro_buro_bal_status_4"])))* 2.0)) +
0.095975*np.tanh(((((( 2.0)<(((((( 3.0)*(data["DAYS_REGISTRATION"])))+(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( data["CODE_REJECT_REASON_SCOFR"])*(data["avg_buro_buro_bal_status_4"])))))))/2.0)))*1.))* 2.0)) +
0.094724*np.tanh(np.minimum(((((((np.minimum(((0.0)) ,(((( np.minimum(((((-2.0)/ 2.0))),(( data["NAME_GOODS_CATEGORY_Insurance"])))) / 2.0)))))/ 2.0)) *(data["DAYS_REGISTRATION"])))) ,(((((data["DAYS_REGISTRATION"])<(-2.0)) *1.))))) +
0.084408*np.tanh(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(-1.0*(( data["cnt_DAYS_BIRTH"]))), np.where(( -1.0*(( data["avg_buro_buro_bal_status_2"])))>0, data["cnt_DAYS_BIRTH"],(-1.0*(((((-1.0)>(( 6.27440023422241211)))*1.))))))) +
0.099609*np.tanh(((np.maximum(((np.maximum(((data["avg_buro_buro_bal_status_4"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"]))))),(((( data["avg_buro_buro_bal_status_4"])*(data["inst_DAYS_INSTALMENT"])))))) *(((data["inst_DAYS_INSTALMENT"])-(1.0)))))+
0.096366*np.tanh(((((data["ELEVATORS_MODE"])*(((((((data["NAME_GOODS_CATEGORY_Insurance"])-(( -1.0*(((( data["NAME_GOODS_CATEGORY_Direct_Sales"])+(data["NAME_INCOME_TYPE"])))))))) -(data["CNT_FAM_MEMBERS"])))*(data["ELEVATORS_MODE"])))))/ 2.0)) +
0.087769*np.tanh(((np.where(3.0>0, data["FLAG_WORK_PHONE"], 3.0)) *(((( data["FLAG_WORK_PHONE"])<(((data["CNT_CHILDREN"])-(((1.0)* 2.0)))))*1.))))+
0.079719*np.tanh(((((((-1.0*(((( data["cnt_NAME_INCOME_TYPE"])/ 2.0)))))<(( -1.0*(((((((( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) +(2.0)) /2.0)) +(data["cnt_CNT_CHILDREN"])))))))*1.))/ 2.0)) +
0.099883*np.tanh(((np.where(np.where(data["cc_bal_SK_DPD"]>0, data["avg_buro_buro_bal_status_4"], data["AMT_DOWN_PAYMENT"])>0, data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"],(( data["RATE_INTEREST_PRIVILEGED"])* 2.0)))* 2.0)) +
0.062329*np.tanh(np.where(data["AMT_DOWN_PAYMENT"]>0, np.minimum(((( -1.0*(((-1.0*(( data["DAYS_LAST_DUE_1ST_VERSION"])))))))) ,(( data["cc_bal_SK_DPD"]))),(( data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])*(((((data["cc_bal_SK_DPD"])* 2.0)) * 2.0)))))+
0.099883*np.tanh(((((data["RATE_DOWN_PAYMENT"])*(np.where(data["cc_bal_SK_DPD_DEF"]>0, 1.0, data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) *(-3.0)))+
0.098867*np.tanh(np.tanh(((( data["inst_NUM_INSTALMENT_VERSION"])*(((( data["cc_bal_SK_DPD"])>(((((((((( -1.0*(( data["cc_bal_SK_DPD_DEF"])))) / 2.0)) >(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *1.))+(data["inst_NUM_INSTALMENT_VERSION"])) /2.0)))*1.))))))+
0.068386*np.tanh(np.tanh(((-1.0*(( np.where(data["DAYS_FIRST_DRAWING"]>0, data["cc_bal_MONTHS_BALANCE"], np.tanh(((((data["cc_bal_SK_DPD"])+(-1.0)) /2.0)))))))))) +
0.099766*np.tanh(( -1.0*(( np.where(data["cc_bal_AMT_INST_MIN_REGULARITY"]>0,(((( data["avg_buro_buro_bal_status_4"])* 2.0)) *(((((data["avg_buro_buro_bal_status_4"])* 2.0)) *(data["SK_ID_PREV_y"])))) ,(((( data["avg_buro_buro_bal_status_4"])* 2.0)) *(data["SK_ID_PREV_y"])))))))+
0.088159*np.tanh(( -1.0*(((((( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])* 2.0)) *(np.where(data["AMT_DOWN_PAYMENT"]>0, data["AMT_DOWN_PAYMENT"],(((-1.0*(((( data["AMT_DOWN_PAYMENT"])* 2.0)))))*(( -1.0*(((( data["CNT_INSTALMENT"])* 2.0)))))))))))))+
0.097499*np.tanh(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])*(np.where(data["avg_buro_buro_bal_status_4"]>0, data["CNT_INSTALMENT"],(( data["AMT_DOWN_PAYMENT"])-(( -1.0*(( np.tanh(( 0.0)))))))))))+
0.100000*np.tanh(( -1.0*(((( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])*(((( data["inst_SK_ID_PREV"])+(((data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])*(((data["inst_SK_ID_PREV"])-(( -1.0*(( data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])))))))))/2.0)))))))+
0.083783*np.tanh(((((((data["inst_AMT_INSTALMENT"])>(2.0)) *1.))<(((np.minimum(((data["inst_AMT_INSTALMENT"])) ,(( data["avg_buro_buro_bal_status_4"])))) +(((data["cc_bal_SK_DPD"])*(data["AMT_DOWN_PAYMENT"])))))) *1.))+
0.096913*np.tanh(np.where(np.minimum(((( 3.24788403511047363))),(((( np.minimum(((((-1.0)/ 2.0))),(( data["cc_bal_SK_DPD"])))) +(np.tanh(( data["SK_ID_PREV_y"])))))))>0, data["NAME_PRODUCT_TYPE_XNA"], data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])) +
0.098828*np.tanh(((data["cc_bal_SK_DPD"])*(((data["AMT_CREDIT_y"])*(((((((-1.0*(((3.0)))))+(((data["cc_bal_SK_DPD"])* 2.0)))) +(((( -1.0*(((3.0)))))+(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])))) /2.0)))))) +
0.099609*np.tanh(((((data["avg_buro_buro_bal_status_2"])*(((data["avg_buro_buro_bal_status_2"])* 2.0)))) *(np.where(data["inst_AMT_PAYMENT"]>0, data["NAME_CASH_LOAN_PURPOSE_Business_development"],(((data["avg_buro_buro_bal_status_2"])>(2.0)) *1.))))) +
0.099844*np.tanh(((data["avg_buro_buro_bal_status_2"])*(((data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])+(((data["avg_buro_buro_bal_status_3"])*(( -1.0*(( data["cnt_CNT_CHILDREN"])))))))))) +
0.095819*np.tanh(((data["avg_buro_buro_bal_status_4"])*(((np.where(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"]>0,(( data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])* 2.0), -2.0)) +(((-3.0)*(data["cc_bal_SK_DPD"])))))))+
0.099844*np.tanh(((((data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])*(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])) ,(( np.minimum(((((((( 2.0)-(((data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])* 2.0)))) +(data["FLAG_DOCUMENT_17"])) /2.0))),(( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])))))))))* 2.0)) +
0.099961*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["inst_AMT_PAYMENT"],(( np.minimum(((data["inst_AMT_PAYMENT"])) ,(( np.maximum(((data["avg_buro_buro_bal_status_2"])) ,(( 0.0)))))))*(((((data["avg_buro_buro_bal_status_5"])/ 2.0)) * 2.0)))))+
0.099805*np.tanh(((data["NAME_CONTRACT_STATUS_Approved"])*(((((data["avg_buro_buro_bal_status_5"])-(np.maximum(((data["avg_buro_buro_bal_status_5"])) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])-(((data["avg_buro_buro_bal_status_5"])-(data["cc_bal_SK_DPD"])))))))))) *(-1.0)))))+
0.098398*np.tanh(((((( data["cnt_CNT_CHILDREN"])*(((( data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])+(((data["cnt_CNT_CHILDREN"])*(data["cc_bal_SK_DPD"])))) /2.0)))) +(((((((data["cnt_FLAG_DOCUMENT_17"])/ 2.0)) * 2.0)) / 2.0)))/2.0)) +
0.088081*np.tanh(np.where(((data["cc_bal_AMT_PAYMENT_CURRENT"])/ 2.0)>0, data["AMT_CREDIT_SUM_LIMIT"],(((-1.0*(( data["AMT_CREDIT_SUM_LIMIT"])))) *(data["AMT_CREDIT_SUM_LIMIT"])))) +
0.097421*np.tanh(((((data["NAME_PRODUCT_TYPE_x_sell"])*(((data["NAME_PRODUCT_TYPE_x_sell"])*(((np.minimum(((data["cnt_FLAG_DOCUMENT_10"])) ,(( data["avg_buro_buro_bal_status_5"])))) *(3.0)))))))-(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])))+
0.099805*np.tanh(((((-1.0*(( data["NAME_CONTRACT_TYPE_Consumer_loans"])))) <(np.where(((( -2.0)>(data["cnt_CNT_CHILDREN"])) *1.) >0,(( np.where(data["NAME_PRODUCT_TYPE_XNA"]>0, data["avg_buro_buro_bal_status_5"], data["NAME_CONTRACT_TYPE_Consumer_loans"])) / 2.0), data["NAME_GOODS_CATEGORY_XNA"])))*1.))+
0.098828*np.tanh(((np.maximum(((((( data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])<(np.where(np.tanh(( data["NAME_CONTRACT_TYPE_Consumer_loans"])) >0, data["NAME_PRODUCT_TYPE_x_sell"], data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])))*1.))) ,(((( -1.0)-(data["CNT_FAM_MEMBERS"])))))) / 2.0)) +
0.099922*np.tanh(np.where(((data["avg_buro_buro_bal_status_5"])* 2.0)>0, data["NAME_CASH_LOAN_PURPOSE_XAP"],(( np.where(data["NAME_CASH_LOAN_PURPOSE_XAP"]>0, data["avg_buro_buro_bal_status_5"],(((np.tanh(( 0.0)))>(((data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])+(data["NAME_CONTRACT_TYPE_Cash_loans"])))) *1.))) / 2.0)))+
0.100000*np.tanh(((((((( np.where(data["PRODUCT_COMBINATION_Cash_X_Sell__middle"]>0, data["NAME_PORTFOLIO_Cash"], 1.0)) * 2.0)) * 2.0)) <(((1.0)-(((data["NAME_PORTFOLIO_Cash"])* 2.0)))))*1.))+
0.099961*np.tanh(((((np.minimum(((data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])) ,(( np.tanh(((((((1.0)<(data["NAME_PORTFOLIO_Cash"])) *1.))*(data["NAME_PRODUCT_TYPE_x_sell"])))))))) / 2.0)) / 2.0)) +
0.060531*np.tanh(np.where(np.minimum(((np.tanh(( 2.0)))) ,(((((np.tanh(( data["cnt_CNT_CHILDREN"])))+(data["avg_buro_buro_bal_status_C"])) /2.0)))) >0,(((( np.tanh(( data["SK_ID_PREV_y"])))*(data["CNT_INSTALMENT"])))/ 2.0), data["NAME_CLIENT_TYPE_New"])) +
0.099492*np.tanh(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(((( data["NAME_PRODUCT_TYPE_XNA"])*(np.maximum(((data["NAME_PRODUCT_TYPE_XNA"])) ,(( data["avg_buro_buro_bal_status_C"])))))))))+
0.084252*np.tanh(((((((((data["NAME_PORTFOLIO_POS"])>(data["NAME_CONTRACT_TYPE_Cash_loans"])) *1.))<(( -1.0*(((((((data["NAME_CONTRACT_TYPE_Cash_loans"])+(( -1.0*(( data["NAME_SELLER_INDUSTRY_XNA"])))))/2.0)) / 2.0)))))) *1.))/ 2.0)) +
0.099609*np.tanh(((( -1.0*(((((( data["avg_buro_buro_bal_status_5"])*(((data["DAYS_LAST_DUE_1ST_VERSION"])*(data["NAME_CASH_LOAN_PURPOSE_XAP"])))))*(((-3.0)* 2.0)))))))+(((( 3.0)<(data["CNT_PAYMENT"])) *1.))))+
0.099453*np.tanh(((((( -1.0*(( np.where(data["CNT_INSTALMENT"]>0, 2.0, 0.0)))))+(((( data["NAME_CASH_LOAN_PURPOSE_XAP"])>(((0.0)*(1.0)))) *1.))))*(data["avg_buro_buro_bal_status_5"])))+
0.080774*np.tanh(( -1.0*(((((((((((( 1.0)) *(((data["CNT_INSTALMENT"])/ 2.0)))) +(np.maximum(((np.minimum(((3.0)) ,(( data["CNT_INSTALMENT"]))))),(( data["te_WALLSMATERIAL_MODE"])))))/2.0)) / 2.0)) / 2.0)))))+
0.099961*np.tanh(((((( np.minimum(((data["NAME_PORTFOLIO_Cash"])) ,(( data["NAME_PRODUCT_TYPE_XNA"])))) >(((( 0.0)>(((data["NAME_CONTRACT_TYPE_Cash_loans"])+(np.tanh(( data["CNT_INSTALMENT_FUTURE"])))))) *1.))) *1.))*(data["CNT_INSTALMENT_FUTURE"])))+
0.099844*np.tanh(((( 1.0)<(np.minimum(((((( data["NAME_PRODUCT_TYPE_x_sell"])+(data["NAME_CONTRACT_TYPE_Cash_loans"])) /2.0))),(((( np.maximum(((((data["NAME_PORTFOLIO_POS"])*(data["NAME_PORTFOLIO_Cash"])))) ,(((((-1.0)<(data["NAME_PORTFOLIO_POS"])) *1.))))) * 2.0)))))) *1.))+
0.099648*np.tanh(np.where(data["NAME_CASH_LOAN_PURPOSE_XAP"]>0, data["NAME_CASH_LOAN_PURPOSE_Repairs"],(( np.where(data["CNT_INSTALMENT_FUTURE"]>0, data["NAME_CASH_LOAN_PURPOSE_Repairs"],(((((data["NAME_CASH_LOAN_PURPOSE_Repairs"])<(data["PRODUCT_COMBINATION_Cash_Street__middle"])) *1.))/ 2.0)))/ 2.0)))+
0.099883*np.tanh(((((((data["inst_AMT_PAYMENT"])-(np.minimum(((3.0)) ,(((-1.0*(( data["PRODUCT_COMBINATION_Cash_Street__low"])))))))))*(np.minimum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( data["inst_AMT_PAYMENT"])))))) / 2.0)) +
0.099609*np.tanh(((np.where(data["CNT_INSTALMENT_FUTURE"]>0, data["NAME_TYPE_SUITE_Spouse__partner"], np.where(data["DAYS_LAST_DUE_1ST_VERSION"]>0, data["NAME_TYPE_SUITE_Spouse__partner"], data["NAME_CASH_LOAN_PURPOSE_Business_development"])))/ 2.0)) +
0.099648*np.tanh(((np.where(data["CNT_INSTALMENT_FUTURE"]>0, 0.0, np.tanh(((((((np.tanh(( np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Other"])))))>(((((data["te_FLAG_DOCUMENT_20"])* 2.0)) * 2.0)))*1.))*(data["NAME_CASH_LOAN_PURPOSE_Other"])))))) * 2.0)) +
0.100000*np.tanh(( -1.0*(((( data["NAME_TYPE_SUITE_Spouse__partner"])*(((((((data["inst_NUM_INSTALMENT_VERSION"])+(((( 0.0)+(np.maximum(((data["CNT_INSTALMENT_FUTURE"])) ,(((((-2.0)<(data["avg_buro_buro_bal_status_5"])) *1.))))))/2.0)))/2.0)) >(1.0)) *1.))))))) +
0.099805*np.tanh(np.maximum(((np.tanh(((( data["ty__Interbank_credit"])+(( -1.0*(( data["avg_buro_buro_bal_status_5"]))))))))),(((((((np.where(data["ty__Interbank_credit"]>0, data["CNT_INSTALMENT_FUTURE"], data["te_FLAG_EMAIL"])) -(1.0)))>(0.0)) *1.))))) +
0.099218*np.tanh(np.minimum(((np.minimum(((data["avg_buro_buro_bal_status_5"])) ,(((-1.0*(((((((data["NAME_GOODS_CATEGORY_Insurance"])+(np.tanh(( data["te_FLAG_DOCUMENT_11"])))) /2.0)) / 2.0))))))))),(( np.where(data["CNT_INSTALMENT"]>0, data["te_FLAG_DOCUMENT_11"], data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))+
0.071161*np.tanh(((((8.0)) <(((( -1.0*(((((np.where(( 10.64545440673828125)>0, data["avg_buro_buro_bal_status_5"], data["te_FLAG_CONT_MOBILE"])) +(data["te_FLAG_DOCUMENT_11"])) /2.0)))))-(((data["te_FLAG_EMAIL"])* 2.0)))))*1.))+
0.092458*np.tanh(((np.where(( -1.0*(( np.where(((2.0)*(np.minimum(((data["cnt_FLAG_EMAIL"])) ,(((4.85187721252441406)))))) >0, data["NAME_GOODS_CATEGORY_Insurance"], data["te_FLAG_DOCUMENT_20"])))) >0, 0.0, data["avg_buro_buro_bal_status_5"])) *(( 13.72183322906494141)))) +
0.099492*np.tanh(np.where(((((((( 8.19193267822265625)) <(data["avg_buro_buro_bal_status_5"])) *1.))<(data["te_FLAG_DOCUMENT_8"])) *1.) >0,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])))* 2.0),(((data["NAME_CASH_LOAN_PURPOSE_Purchase_of_electronic_equipment"])>(np.tanh(( 0.0)))) *1.))) +
0.047245*np.tanh(((( -1.0*(( np.minimum(((data["avg_buro_buro_bal_status_5"])) ,(((( 2.0)*(np.minimum(((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])*(data["te_FLAG_DOCUMENT_20"])))*(data["te_FLAG_DOCUMENT_20"])))) ,(( data["avg_buro_buro_bal_status_5"])))))))))))) * 2.0)) +
0.099687*np.tanh(((np.minimum(((data["avg_buro_buro_bal_status_5"])) ,(( np.where(np.minimum(((data["DAYS_LAST_DUE_1ST_VERSION"])) ,(( np.tanh(( data["ty__Interbank_credit"])))))>0,(-1.0*(((((2.0)+(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)))) , data["ty__Interbank_credit"])))))*(data["DAYS_LAST_DUE_1ST_VERSION"])))+
0.099687*np.tanh(((( -3.0)>(((np.minimum(((data["te_FLAG_DOCUMENT_20"])) ,(((-1.0*(( 0.0)))))))-(data["NAME_PORTFOLIO_Cards"])))) *1.))+
0.099414*np.tanh(np.minimum(((((data["CODE_REJECT_REASON_SYSTEM"])*(data["NAME_YIELD_GROUP_high"])))) ,(((( data["CODE_REJECT_REASON_SYSTEM"])+(np.maximum(((data["CODE_REJECT_REASON_SYSTEM"])) ,(( data["NAME_YIELD_GROUP_high"])))))))))+
0.065416*np.tanh(((np.where(((data["NAME_YIELD_GROUP_high"])/ 2.0)>0,(((((((((data["NAME_GOODS_CATEGORY_Direct_Sales"])+(2.0)) /2.0)) +(0.0)) /2.0)) +(data["DAYS_LAST_DUE"])) /2.0), data["NAME_CASH_LOAN_PURPOSE_Business_development"])) / 2.0)) +
0.100000*np.tanh(((( data["ty__Interbank_credit"])>(np.minimum(((((((((((((( 3.0)/ 2.0)) +(((((data["PRODUCT_COMBINATION_POS_mobile_with_interest"])/ 2.0)) / 2.0)))/2.0)) +(1.0)) /2.0)) >(data["PRODUCT_COMBINATION_POS_mobile_with_interest"])) *1.))) ,(( data["ty__Interbank_credit"])))))*1.))+
0.099726*np.tanh(((((( data["NAME_GOODS_CATEGORY_Mobile"])+(-1.0)))>(((data["NAME_SELLER_INDUSTRY_Connectivity"])* 2.0)))*1.))+
0.078976*np.tanh(((np.where(data["PRODUCT_COMBINATION_POS_mobile_with_interest"]>0,(9.37105369567871094), np.minimum(((data["NAME_GOODS_CATEGORY_Insurance"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))+
0.062524*np.tanh(((np.where(( 8.51268959045410156)>0,(((( data["CODE_REJECT_REASON_SCOFR"])*(np.minimum(((data["NAME_YIELD_GROUP_high"])) ,(((( data["NAME_YIELD_GROUP_high"])*(data["NAME_YIELD_GROUP_high"])))))))) / 2.0), -1.0)) * 2.0)) +
0.099062*np.tanh(np.where(data["avg_buro_buro_bal_status_5"]>0, data["te_FLAG_DOCUMENT_20"],(( np.where(data["ty__Interbank_credit"]>0,(((np.tanh(( 0.0)))+(data["NAME_SELLER_INDUSTRY_Connectivity"])) /2.0),(( -2.0)*(data["NAME_GOODS_CATEGORY_Insurance"])))) / 2.0)))+
0.095506*np.tanh(((data["avg_buro_buro_bal_status_2"])*(((((((((data["te_FLAG_DOCUMENT_20"])*(data["avg_buro_buro_bal_status_2"])))/ 2.0)) -(data["avg_buro_buro_bal_status_5"])))*(((np.tanh(( data["avg_buro_buro_bal_status_2"])))/ 2.0)))))) +
0.099726*np.tanh(((data["avg_buro_buro_bal_status_2"])*(((((((6.0)) >(data["avg_buro_buro_bal_status_2"])) *1.))*(np.tanh(( np.where(1.0>0, np.tanh(((((( 2.0)) <(data["avg_buro_buro_bal_status_2"])) *1.))) , -1.0)))))))) +
0.099023*np.tanh(((data["cc_bal_AMT_PAYMENT_CURRENT"])*(((((data["avg_buro_buro_bal_status_2"])* 2.0)) *(((3.0)-(data["cc_bal_AMT_PAYMENT_CURRENT"])))))))+
0.099297*np.tanh(((((np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, data["avg_buro_buro_bal_status_5"], np.where(data["ty__Real_estate_loan"]>0, data["NAME_GOODS_CATEGORY_Insurance"],(-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))))) -(np.tanh(( np.maximum(((data["ty__Real_estate_loan"])) ,(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))))) * 2.0)) +
0.084056*np.tanh(np.where(((((2.0)* 2.0)) -(data["avg_buro_buro_bal_status_2"])) >0,(( np.minimum(((data["avg_buro_buro_bal_status_2"])) ,(( data["avg_buro_buro_bal_status_2"])))) *(((( 2.0)>(data["cc_bal_AMT_PAYMENT_CURRENT"])) *1.))) , -1.0)) +
0.070535*np.tanh(np.where(data["ty__Interbank_credit"]>0,(( data["cc_bal_AMT_PAYMENT_CURRENT"])* 2.0),(-1.0*(( np.where(-3.0>0, data["ty__Interbank_credit"],(( 1.0)*(data["avg_buro_buro_bal_status_5"])))))))) +
0.099922*np.tanh(((((10.0)) <(((((( data["NAME_GOODS_CATEGORY_Direct_Sales"])-(data["te_FLAG_DOCUMENT_20"])))+(data["avg_buro_buro_bal_status_5"])) /2.0)))*1.))+
0.088316*np.tanh(np.maximum(((((((np.maximum(((data["avg_buro_buro_bal_status_5"])) ,(( data["avg_buro_buro_bal_status_5"])))) +(((data["te_FLAG_DOCUMENT_20"])/ 2.0)))) *(((data["avg_buro_buro_bal_status_2"])* 2.0))))),(( -3.0)))) +
0.099414*np.tanh(( -1.0*(((((((data["FLAG_DOCUMENT_10"])-(data["te_FLAG_DOCUMENT_20"])))<(((( data["avg_buro_buro_bal_status_2"])+(((-3.0)/ 2.0)))/2.0)))*1.))))) +
0.099531*np.tanh(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(((data["FLAG_DOCUMENT_19"])-(data["avg_buro_buro_bal_status_5"])))))+
0.099258*np.tanh(((((np.where(data["ty__Interbank_credit"]>0, data["CODE_REJECT_REASON_SYSTEM"],(((data["NAME_GOODS_CATEGORY_Insurance"])+(((data["NAME_GOODS_CATEGORY_Fitness"])-(data["CODE_REJECT_REASON_SYSTEM"])))) /2.0)))*(data["CODE_REJECT_REASON_SYSTEM"])))* 2.0)) +
0.081047*np.tanh(((data["cnt_FLAG_DOCUMENT_4"])+(((((((( data["avg_buro_buro_bal_status_2"])/ 2.0)) +(((( data["cc_bal_cc_bal_status__Refused"])+(data["NAME_CASH_LOAN_PURPOSE_Business_development"])) /2.0)))) >(1.0)) *1.))))+
0.099883*np.tanh(((((np.where(((((data["ty__Interbank_credit"])/ 2.0)) / 2.0)>0,(-1.0*(( data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"]))), data["NAME_CASH_LOAN_PURPOSE_Buying_a_new_car"])) -(np.tanh(( data["cnt_FLAG_DOCUMENT_10"])))))-(np.maximum(((data["ty__Interbank_credit"])) ,(( data["FLAG_DOCUMENT_10"])))))) +
0.099805*np.tanh(((( data["AMT_ANNUITY_y"])>(((((( np.minimum(((( -1.0*(((( data["CODE_REJECT_REASON_VERIF"])* 2.0)))))) ,(((( data["cc_bal_cc_bal_status__Refused"])/ 2.0)))))>(0.0)) *1.))/ 2.0)))*1.))+
0.093669*np.tanh(((((( data["CODE_REJECT_REASON_VERIF"])+(((( np.where(data["AMT_CREDIT_SUM"]>0,(( data["avg_buro_buro_bal_status_2"])* 2.0), data["cc_bal_cc_bal_status__Refused"])) <(((data["CODE_REJECT_REASON_VERIF"])*(data["AMT_CREDIT_SUM"])))) *1.))) /2.0)) *(data["AMT_CREDIT_SUM"])))+
0.098945*np.tanh(((((((np.where(data["ty__Car_loan"]>0, data["CODE_REJECT_REASON_VERIF"],(((((-1.0*(( data["CODE_REJECT_REASON_VERIF"])))) / 2.0)) *(data["CNT_INSTALMENT"])))) +(data["ty__Car_loan"])))*(data["CODE_REJECT_REASON_VERIF"])))* 2.0)) +
0.096874*np.tanh(((np.where(data["cc_bal_cc_bal_status__Refused"]>0,(-1.0*(((-1.0*(((( np.where(np.where(data["avg_buro_buro_bal_status_5"]>0, data["avg_buro_buro_bal_status_2"], data["ty__Interbank_credit"])>0, data["avg_buro_buro_bal_status_4"], data["ty__Interbank_credit"])) * 2.0))))))), data["avg_buro_buro_bal_status_4"])) * 2.0)) +
0.090504*np.tanh(np.where(3.0>0,(( data["AMT_REQ_CREDIT_BUREAU_MON"])*(((((((( data["CHANNEL_TYPE_Car_dealer"])+(((data["AMT_CREDIT_SUM"])/ 2.0)))) >(data["CODE_REJECT_REASON_VERIF"])) *1.))*(data["AMT_REQ_CREDIT_BUREAU_MON"])))) , np.tanh(( data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) +
0.099961*np.tanh(((((data["AMT_ANNUITY_x"])*(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0,(((data["AMT_REQ_CREDIT_BUREAU_MON"])<(0.0)) *1.) , data["AMT_REQ_CREDIT_BUREAU_MON"])))) / 2.0)) +
0.099766*np.tanh(((((((( -1.0)*(((( data["AMT_REQ_CREDIT_BUREAU_MON"])+(data["avg_buro_buro_bal_status_2"])) /2.0)))) +(np.minimum(((((( 2.0)) -(data["AMT_CREDIT_SUM"])))) ,(( 0.0)))))/2.0)) / 2.0)) +
0.099766*np.tanh(((np.where(((( data["avg_buro_buro_bal_status_2"])>(data["CODE_REJECT_REASON_VERIF"])) *1.) >0, data["NAME_CASH_LOAN_PURPOSE_Business_development"], data["AMT_GOODS_PRICE_x"])) *(data["AMT_CREDIT_SUM"])))+
0.099961*np.tanh(((data["AMT_CREDIT_SUM"])*(np.minimum(((((3.0)*(((((( data["avg_buro_buro_bal_status_4"])<(data["NAME_GOODS_CATEGORY_Insurance"])) *1.))*(data["inst_AMT_PAYMENT"])))))) ,(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)))))))+
0.100000*np.tanh(((((((np.maximum(((((((data["AMT_CREDIT_MAX_OVERDUE"])*(((( 7.54546737670898438)) * 2.0)))) * 2.0))),(( data["AMT_CREDIT_MAX_OVERDUE"])))) *(np.maximum(((( 10.0))),(( data["avg_buro_buro_bal_status_4"])))))) * 2.0)) * 2.0)) +
0.095506*np.tanh(((((-1.0*(( np.where(data["SK_ID_BUREAU"]>0, data["avg_buro_buro_bal_status_1"],(((( -3.0)+(np.tanh(( -3.0)))))*(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)))))))) +(((1.0)/ 2.0)))/2.0)) +
0.099805*np.tanh(np.where(data["avg_buro_buro_bal_status_1"]>0,(( data["EXT_SOURCE_3"])-(data["NAME_CONTRACT_STATUS_Refused"])) ,(( np.maximum(((data["avg_buro_buro_bal_status_2"])) ,(((( data["EXT_SOURCE_3"])* 2.0)))))*(data["avg_buro_buro_bal_status_1"])))) +
0.092224*np.tanh(((((data["cc_bal_cc_bal_status__Refused"])+(( -1.0*(( data["AMT_CREDIT_SUM"])))))) *(np.maximum(((((( data["AMT_CREDIT_SUM"])>(( 1.58207809925079346)))*1.))) ,(( data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))))) +
0.094959*np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["AMT_CREDIT_SUM_DEBT"])))+(np.tanh(((((data["AMT_CREDIT_SUM_DEBT"])+(((( data["avg_buro_buro_bal_status_2"])<(np.minimum(((data["AMT_CREDIT_SUM_DEBT"])) ,(((((12.72768211364746094)) / 2.0)))))) *1.))) /2.0)))))) +
0.099922*np.tanh(((np.tanh(((((-1.0*(( data["AMT_CREDIT_SUM"])))) *(np.maximum(((((( -1.0)>(((data["inst_AMT_PAYMENT"])+(data["AMT_CREDIT_SUM"])))) *1.))) ,(( np.tanh(( data["EXT_SOURCE_3"])))))))))) * 2.0)) +
0.078507*np.tanh(np.where(data["SK_ID_BUREAU"]>0,(( data["SK_ID_BUREAU"])*(((( np.where(data["NAME_CASH_LOAN_PURPOSE_Business_development"]>0, 0.0, data["NAME_GOODS_CATEGORY_Insurance"])) >(((np.minimum(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) ,(( 3.0)))) * 2.0)))*1.))) , data["ty__Mortgage"])) +
0.092614*np.tanh(np.where(data["DAYS_FIRST_DRAWING"]>0,(( data["inst_NUM_INSTALMENT_VERSION"])*(data["inst_NUM_INSTALMENT_NUMBER"])) ,(( np.minimum(((0.0)) ,(( data["DAYS_FIRST_DRAWING"])))) *(data["inst_NUM_INSTALMENT_NUMBER"])))) +
0.099883*np.tanh(((( 1.0)<(((data["inst_NUM_INSTALMENT_NUMBER"])*(((((((-1.0*(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))) >(np.minimum(((data["cc_bal_MONTHS_BALANCE"])) ,(((10.0)))))) *1.))* 2.0)))))*1.))+
0.100000*np.tanh(((( data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])<(( -1.0*(((((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])<(((( 3.0)+(data["cc_bal_AMT_BALANCE"])) /2.0)))*1.))))))*1.))+
0.099531*np.tanh(((( data["cc_bal_AMT_RECIVABLE"])>(np.maximum(((data["cc_bal_AMT_RECEIVABLE_PRINCIPAL"])) ,(( np.minimum(((((((( 1.0)<(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])) *1.))/ 2.0))),(((((((( data["cc_bal_AMT_RECIVABLE"])>(-2.0)) *1.))>(( 0.0)))*1.))))))))) *1.))+
0.100000*np.tanh(( -1.0*(( np.maximum(((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])) ,(((-1.0*(( np.minimum(((( -1.0*(( data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"]))))),(((((data["cc_bal_CNT_DRAWINGS_ATM_CURRENT"])+(((((-1.0*(( data["NAME_GOODS_CATEGORY_Insurance"])))) <(data["EXT_SOURCE_3"])) *1.))) /2.0)))))))))))))) +
0.099805*np.tanh(((((( data["cc_bal_AMT_RECIVABLE"])/ 2.0)) >(((((( 0.0)-(((( 2.0)<(data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])) *1.))))<(((( data["cc_bal_AMT_RECIVABLE"])+(( -1.0*(( data["cc_bal_AMT_PAYMENT_CURRENT"])))))/2.0)))*1.))) *1.))+
0.072177*np.tanh(np.minimum(((((data["inst_NUM_INSTALMENT_VERSION"])+(( 1.0))))),(( np.where(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Buying_a_garage"])) ,(( data["cc_bal_cc_bal_status__Refused"])))>0, data["inst_NUM_INSTALMENT_VERSION"], np.maximum(((data["cc_bal_cc_bal_status__Refused"])) ,(( data["cc_bal_cc_bal_status__Refused"])))))))) +
0.099883*np.tanh(((((((((((3.66407728195190430)) >(( 0.14521482586860657)))*1.))-(((( data["cc_bal_cc_bal_status__Refused"])<(((( data["inst_NUM_INSTALMENT_NUMBER"])<(np.maximum(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])) ,(( data["CNT_INSTALMENT"])))))*1.))) *1.))))* 2.0)) * 2.0)) +
0.099336*np.tanh(np.minimum(((((( data["inst_AMT_PAYMENT"])<(np.where(( 6.0)>0,(( data["NAME_GOODS_CATEGORY_Mobile"])* 2.0), 0.0)))*1.))) ,(((((np.tanh(( data["CHANNEL_TYPE_Car_dealer"])))+(((data["inst_AMT_PAYMENT"])*(data["DAYS_FIRST_DRAWING"])))) /2.0)))))+
0.099726*np.tanh(((data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])*(((-1.0)*(np.maximum(((data["cc_bal_AMT_PAYMENT_CURRENT"])) ,(( np.where(data["CHANNEL_TYPE_Car_dealer"]>0,(-1.0*(((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_garage"])* 2.0)))) ,(((( data["CHANNEL_TYPE_Car_dealer"])* 2.0)) * 2.0)))))))))) +
0.095584*np.tanh(np.minimum(((((data["CHANNEL_TYPE_Car_dealer"])*(data["inst_AMT_PAYMENT"])))) ,(( np.tanh(((((-1.0*(( np.minimum(((np.maximum(((-3.0)) ,(( np.minimum(((data["inst_AMT_PAYMENT"])) ,(( data["AMT_APPLICATION"])))))))) ,(( 3.0)))))))/ 2.0)))))))+
0.071473*np.tanh(np.minimum(((((( np.tanh(( np.tanh(((2.0)))))) <(data["inst_AMT_INSTALMENT"])) *1.))) ,(((((( data["inst_AMT_INSTALMENT"])* 2.0)) -(-1.0)))))) +
0.099883*np.tanh(( -1.0*(( np.maximum(((((( data["AMT_APPLICATION"])<(-1.0)) *1.))) ,(( np.tanh(((( np.where(((( data["inst_AMT_PAYMENT"])+(-1.0)) /2.0)>0, data["AMT_APPLICATION"], data["NAME_CASH_LOAN_PURPOSE_Buying_a_garage"])) / 2.0)))))))))) +
0.096209*np.tanh(((((data["cnt_DAYS_BIRTH"])*(data["CNT_INSTALMENT_FUTURE"])))*(((( -1.0)>(data["CNT_INSTALMENT_FUTURE"])) *1.))))+
0.079914*np.tanh(((data["avg_buro_buro_bal_status_4"])*(((data["AMT_REQ_CREDIT_BUREAU_MON"])*(np.where(((data["CNT_INSTALMENT_FUTURE"])* 2.0)>0, data["CNT_INSTALMENT_FUTURE"],(10.0)))))))+
0.099609*np.tanh(((np.where(data["cc_bal_CNT_INSTALMENT_MATURE_CUM"]>0,(( data["DAYS_LAST_DUE"])/ 2.0), np.where(np.tanh(( data["CODE_REJECT_REASON_VERIF"])) >0, data["DAYS_LAST_DUE"], data["ty__Interbank_credit"])))/ 2.0)) +
0.100000*np.tanh(((((((( 3.0)+(3.0)) /2.0)) +(( 3.0)))) *(np.minimum(((np.where(data["avg_buro_buro_bal_status_5"]>0, data["cc_bal_CNT_INSTALMENT_MATURE_CUM"], 0.0))),(((( data["avg_buro_buro_bal_status_5"])*(data["CODE_REJECT_REASON_VERIF"])))))))) +
0.099648*np.tanh(((( np.minimum(((((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])>(data["ty__Interbank_credit"])) *1.))) ,(((((data["NAME_SELLER_INDUSTRY_Auto_technology"])+(data["avg_buro_buro_bal_status_5"])) /2.0)))))>(np.tanh(((((data["CNT_INSTALMENT_FUTURE"])>(np.minimum(((data["NAME_SELLER_INDUSTRY_Auto_technology"])) ,(( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])))))*1.))))) *1.))+
0.095389*np.tanh(((((data["FLAG_DOCUMENT_13"])*(((((((( data["ty__Interbank_credit"])/ 2.0)) >(data["avg_buro_buro_bal_status_5"])) *1.))+(data["NAME_GOODS_CATEGORY_Auto_Accessories"])))))* 2.0)) +
0.099531*np.tanh(np.where(((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])<(((((-1.0*(( data["avg_buro_buro_bal_status_5"])))) <(data["FLAG_DOCUMENT_13"])) *1.))) *1.))<(data["avg_buro_buro_bal_status_5"])) *1.) >0, data["CNT_INSTALMENT_FUTURE"],(-1.0*(( data["FLAG_DOCUMENT_13"])))))+
0.099375*np.tanh(((((np.minimum(((np.where(data["avg_buro_buro_bal_status_5"]>0, data["cc_bal_CNT_INSTALMENT_MATURE_CUM"], data["NAME_CASH_LOAN_PURPOSE_Buying_a_garage"]))),(((( data["NAME_CASH_LOAN_PURPOSE_Buying_a_garage"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))))) -(data["NAME_CASH_LOAN_PURPOSE_Buying_a_garage"])))* 2.0)) +
0.099766*np.tanh(np.where(-3.0>0, -3.0,(((((((( data["cc_bal_CNT_INSTALMENT_MATURE_CUM"])-(np.minimum(((0.0)) ,(( data["CNT_INSTALMENT_FUTURE"])))))) *(data["avg_buro_buro_bal_status_5"])))-(data["CNT_INSTALMENT_FUTURE"])))*(data["avg_buro_buro_bal_status_3"])))) +
0.098554*np.tanh(( -1.0*(((((( data["CNT_INSTALMENT"])*(np.maximum(((data["CHANNEL_TYPE_Car_dealer"])) ,(( -2.0)))))) *(((((( data["CODE_REJECT_REASON_SCO"])*(data["CODE_REJECT_REASON_SCO"])))+(2.0)) /2.0)))))))+
0.064127*np.tanh(((((np.tanh(((( data["NAME_GOODS_CATEGORY_Weapon"])*(data["AMT_DOWN_PAYMENT"])))))*(( 11.26369285583496094)))) *(((-2.0)*(np.tanh(( -2.0)))))))+
0.099961*np.tanh(np.tanh(((( data["AMT_CREDIT_x"])*(np.where(((-3.0)+(np.where(data["CNT_INSTALMENT"]>0, data["SK_ID_PREV_y"], 0.0)))>0, data["CNT_INSTALMENT"], 0.0)))))) +
0.093200*np.tanh(np.minimum(((np.tanh(((((data["RATE_DOWN_PAYMENT"])>(((( 1.0)>(data["NAME_GOODS_CATEGORY_Weapon"])) *1.))) *1.))))) ,(( np.tanh(( np.where(data["SK_ID_PREV_y"]>0, data["RATE_DOWN_PAYMENT"], np.tanh(( data["avg_buro_buro_bal_status_5"])))))))))+
0.099531*np.tanh(((data["CNT_INSTALMENT"])*(((np.where(((((( np.maximum(((((data["AMT_DOWN_PAYMENT"])/ 2.0))),(( 0.0)))) >(2.0)) *1.))/ 2.0)>0, 3.0, data["NAME_SELLER_INDUSTRY_MLM_partners"])) * 2.0)))) +
0.091403*np.tanh(((((((( 2.0)) >(((data["AMT_CREDIT_y"])/ 2.0)))*1.))>(( -1.0*(((( data["AMT_CREDIT_y"])-(((data["AMT_CREDIT_y"])+(((((( data["AMT_CREDIT_y"])* 2.0)) <(( 5.46582460403442383)))*1.))))))))))*1.))+
0.089371*np.tanh(((((np.maximum(((( 12.36531925201416016))),(( data["ty__Interbank_credit"])))) *(((data["avg_buro_buro_bal_status_5"])*(( -1.0*(((( data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])-(data["NAME_GOODS_CATEGORY_Weapon"])))))))))) / 2.0)) +
0.085893*np.tanh(((((((((data["NAME_GOODS_CATEGORY_Insurance"])+(2.0)) /2.0)) <(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])) *1.))+(( -1.0*(((((((data["cc_bal_AMT_CREDIT_LIMIT_ACTUAL"])+(((data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])/ 2.0)))/2.0)) / 2.0)))))))+
0.099726*np.tanh(np.minimum(((((data["NAME_GOODS_CATEGORY_Mobile"])*(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])+(data["cc_bal_AMT_DRAWINGS_CURRENT"])) /2.0))))),(((((((data["ty__Interbank_credit"])+(((data["cc_bal_AMT_DRAWINGS_CURRENT"])-(data["cc_bal_AMT_PAYMENT_TOTAL_CURRENT"])))) /2.0)) * 2.0)))))+
0.097733*np.tanh(((( np.where(((( data["CNT_INSTALMENT_FUTURE"])>(data["inst_SK_ID_PREV"])) *1.) >0,(((data["inst_SK_ID_PREV"])>(3.0)) *1.) , 3.0)) <(data["inst_SK_ID_PREV"])) *1.))+
0.071161*np.tanh(( -1.0*(((((( np.maximum(((np.tanh(((((data["AMT_GOODS_PRICE_y"])>(2.0)) *1.))))) ,(((((data["CNT_INSTALMENT"])>(((( 3.0)) +(((-1.0)/ 2.0)))))*1.))))) * 2.0)) * 2.0)))))+
0.099726*np.tanh(np.where(((data["cc_bal_AMT_DRAWINGS_ATM_CURRENT"])*(data["NAME_GOODS_CATEGORY_Insurance"])) >0,(( data["cc_bal_AMT_PAYMENT_CURRENT"])*(data["AMT_DOWN_PAYMENT"])) ,(-1.0*(( data["AMT_DOWN_PAYMENT"])))))+
0.081985*np.tanh(((np.where(((( data["AMT_ANNUITY"])+(data["AMT_CREDIT_y"])) /2.0)>0, data["avg_buro_buro_bal_status_5"],(((data["avg_buro_buro_bal_status_5"])>(np.where(data["SK_ID_PREV_y"]>0, data["cc_bal_AMT_PAYMENT_CURRENT"],(((4.0)) +(( 4.0)))))) *1.))) * 2.0)) +
0.099726*np.tanh(((np.where(( 14.45024776458740234)>0,(( data["AMT_ANNUITY"])* 2.0),(( -1.0)* 2.0)))*(((( 1.0)<(((data["AMT_DOWN_PAYMENT"])-(((data["AMT_GOODS_PRICE_y"])-(data["AMT_CREDIT_y"])))))) *1.))))+
0.099375*np.tanh(np.where(((data["inst_SK_ID_PREV"])*(((data["cc_bal_AMT_PAYMENT_CURRENT"])* 2.0)))>0, data["SK_ID_PREV_y"],(-1.0*(((( data["NAME_CASH_LOAN_PURPOSE_Business_development"])/ 2.0)))))) +
0.099453*np.tanh(np.tanh(((( np.tanh(((-1.0*(( data["SK_ID_PREV_y"])))))) *(((( data["NAME_GOODS_CATEGORY_Insurance"])>(np.maximum(((( -1.0*(((8.21855163574218750)))))) ,(((((( data["PRODUCT_COMBINATION_Cash_X_Sell__middle"])*(data["NAME_GOODS_CATEGORY_Insurance"])))* 2.0)))))) *1.))))))+
0.099687*np.tanh(((np.minimum(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])*(data["NAME_GOODS_CATEGORY_Mobile"])))) ,(((((((((data["NAME_SELLER_INDUSTRY_MLM_partners"])<(((data["NAME_CASH_LOAN_PURPOSE_Business_development"])/ 2.0)))*1.))+(data["avg_buro_buro_bal_status_2"])))*(data["cc_bal_AMT_PAYMENT_CURRENT"])))))) *(data["NAME_GOODS_CATEGORY_Mobile"])))+
0.099531*np.tanh(((np.where(((((((((1.0)+(data["inst_SK_ID_PREV"])) /2.0)) / 2.0)) <(data["avg_buro_buro_bal_status_2"])) *1.) >0, 1.0, data["NAME_CASH_LOAN_PURPOSE_Business_development"])) *(np.where(data["NAME_GOODS_CATEGORY_Insurance"]>0, data["CODE_REJECT_REASON_SCO"], data["CNT_INSTALMENT"])))) +
0.099570*np.tanh(((((((((data["NAME_SELLER_INDUSTRY_MLM_partners"])*(data["CODE_REJECT_REASON_SCO"])))-(((((( data["NAME_GOODS_CATEGORY_Sport_and_Leisure"])>(np.maximum(((data["CHANNEL_TYPE_Car_dealer"])) ,(( data["NAME_SELLER_INDUSTRY_MLM_partners"])))))*1.))* 2.0)))) * 2.0)) -(data["CHANNEL_TYPE_Car_dealer"])))+
0.099766*np.tanh(((((np.where(np.where(-2.0>0, -3.0, np.tanh(( data["ty__Interbank_credit"])))>0, data["CODE_REJECT_REASON_HC"], 0.0)) +(( -1.0*(( data["NAME_GOODS_CATEGORY_Weapon"])))))) / 2.0)) +
0.099805*np.tanh(((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])* 2.0)) *(((((data["inst_SK_ID_PREV"])*(np.minimum(((data["NAME_SELLER_INDUSTRY_XNA"])) ,(((((((data["CODE_REJECT_REASON_HC"])>(np.tanh(( data["inst_SK_ID_PREV"])))) *1.))* 2.0)))))))*(3.0)))))+
0.099687*np.tanh(((((( data["CODE_REJECT_REASON_HC"])*(np.where(( 3.33906126022338867)>0, data["NAME_CASH_LOAN_PURPOSE_Business_development"], data["NAME_CONTRACT_STATUS_Approved"])))) +(((( data["cc_bal_AMT_PAYMENT_CURRENT"])+(( -1.0*(((( data["CHANNEL_TYPE_Credit_and_cash_offices"])*(data["cc_bal_AMT_PAYMENT_CURRENT"])))))))/2.0)))/2.0)) +
0.084838*np.tanh(((((( np.tanh(((-1.0*(( np.minimum(((data["NAME_SELLER_INDUSTRY_XNA"])) ,(( data["CODE_REJECT_REASON_HC"])))))))))/ 2.0)) +(((data["CODE_REJECT_REASON_HC"])*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))) /2.0)) +
0.099766*np.tanh(np.tanh(((((( np.where(((data["cc_bal_SK_DPD"])*(np.minimum(((data["NAME_TYPE_SUITE_Spouse__partner"])) ,(( 0.0)))))>0, data["LIVINGAPARTMENTS_MEDI"], data["NAME_GOODS_CATEGORY_Fitness"])) / 2.0)) *(((3.0)* 2.0)))))) +
0.099687*np.tanh(( -1.0*(((((( 3.0)) <(np.where(data["AMT_DOWN_PAYMENT"]>0, 3.0, np.where(data["ty__Interbank_credit"]>0, data["ty__Interbank_credit"], data["NAME_TYPE_SUITE_Spouse__partner"])))) *1.))))) +
0.088277*np.tanh(((((-1.0*(( data["DAYS_CREDIT_ENDDATE"])))) >(((( np.maximum(((data["ENTRANCES_AVG"])) ,(((-1.0*(( data["NAME_GOODS_CATEGORY_Fitness"])))))))+(np.tanh(((9.0)))))/2.0)))*1.))+
0.099726*np.tanh(np.where(((((((( -1.0)-(3.0)))*(data["NAME_CASH_LOAN_PURPOSE_Business_development"])))+(((((((data["NAME_CASH_LOAN_PURPOSE_Business_development"])>(data["DAYS_CREDIT_ENDDATE"])) *1.))+(data["DAYS_ENDDATE_FACT"])) /2.0)))/2.0)>0, data["NAME_CASH_LOAN_PURPOSE_Business_development"], data["DAYS_CREDIT"])) ) | Home Credit Default Risk |
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