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version=v4
num_class=1
num_tree_per_iteration=1
label_index=0
max_feature_idx=39
objective=binary sigmoid:1
feature_names=word_count character_count sentence_count lexical_diversity avg_sentence_length avg_word_length punctuation_ratio flesch_reading_ease gunning_fog_index grammar_errors passive_voice_ratio predictability_score burstiness sentiment_score length potential_noise lang_ar lang_ca lang_de lang_en lang_es lang_hr lang_nl lang_other lang_pl lang_pt lang_ro lang_ru lang_unknown model_Mistral-7B-Instruct-v0.2 model_aya-101 model_gemini model_gpt-3.5-turbo-0125 model_human model_opt-iml-max-30b model_unknown_model model_v5-Eagle-7B-HF model_vicuna-13b ds_ai_human ds_multisocial
feature_infos=[0:1672] [3:9151] [1:135] [0:1] [0:749] [0:183.5116279069768] [0:0.970873786407767] [-1774.7499999999998:147.39000000000004] [0:292.42758620689659] [0:6] [0:3] [0:0.99444444444444435] [0:3.1838230008111283] [-0.99970000000000003:0.99990000000000001] [3:9151] none [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1] [0:1]
tree_sizes=363
Tree=0
num_leaves=2
num_cat=0
split_feature=33
split_gain=742957
threshold=1.0000000180025095e-35
decision_type=2
left_child=-1
right_child=-2
leaf_value=0.58605669429830687 0.45714499770437905
leaf_weight=109181.43035978079 63717.65582549572
leaf_count=469165 273802
internal_value=0.538549
internal_weight=172899
internal_count=742967
is_linear=0
shrinkage=1
end of trees
feature_importances:
model_human=1
parameters:
[boosting: gbdt]
[objective: binary]
[metric: auc,binary_logloss]
[tree_learner: serial]
[device_type: cpu]
[data_sample_strategy: bagging]
[data: ]
[valid: ]
[num_iterations: 600]
[learning_rate: 0.03]
[num_leaves: 128]
[num_threads: 8]
[seed: 42]
[deterministic: 0]
[force_col_wise: 0]
[force_row_wise: 0]
[histogram_pool_size: -1]
[max_depth: -1]
[min_data_in_leaf: 40]
[min_sum_hessian_in_leaf: 0.001]
[bagging_fraction: 0.8]
[pos_bagging_fraction: 1]
[neg_bagging_fraction: 1]
[bagging_freq: 0]
[bagging_seed: 400]
[bagging_by_query: 0]
[feature_fraction: 0.8]
[feature_fraction_bynode: 1]
[feature_fraction_seed: 30056]
[extra_trees: 0]
[extra_seed: 12879]
[early_stopping_round: 0]
[early_stopping_min_delta: 0]
[first_metric_only: 0]
[max_delta_step: 0]
[lambda_l1: 0]
[lambda_l2: 1]
[linear_lambda: 0]
[min_gain_to_split: 0]
[drop_rate: 0.1]
[max_drop: 50]
[skip_drop: 0.5]
[xgboost_dart_mode: 0]
[uniform_drop: 0]
[drop_seed: 17869]
[top_rate: 0.2]
[other_rate: 0.1]
[min_data_per_group: 100]
[max_cat_threshold: 32]
[cat_l2: 10]
[cat_smooth: 10]
[max_cat_to_onehot: 4]
[top_k: 20]
[monotone_constraints: ]
[monotone_constraints_method: basic]
[monotone_penalty: 0]
[feature_contri: ]
[forcedsplits_filename: ]
[refit_decay_rate: 0.9]
[cegb_tradeoff: 1]
[cegb_penalty_split: 0]
[cegb_penalty_feature_lazy: ]
[cegb_penalty_feature_coupled: ]
[path_smooth: 0]
[interaction_constraints: ]
[verbosity: 1]
[saved_feature_importance_type: 0]
[use_quantized_grad: 0]
[num_grad_quant_bins: 4]
[quant_train_renew_leaf: 0]
[stochastic_rounding: 1]
[linear_tree: 0]
[max_bin: 255]
[max_bin_by_feature: ]
[min_data_in_bin: 3]
[bin_construct_sample_cnt: 200000]
[data_random_seed: 175]
[is_enable_sparse: 1]
[enable_bundle: 1]
[use_missing: 1]
[zero_as_missing: 0]
[feature_pre_filter: 1]
[pre_partition: 0]
[two_round: 0]
[header: 0]
[label_column: ]
[weight_column: ]
[group_column: ]
[ignore_column: ]
[categorical_feature: ]
[forcedbins_filename: ]
[precise_float_parser: 0]
[parser_config_file: ]
[objective_seed: 16083]
[num_class: 1]
[is_unbalance: 0]
[scale_pos_weight: 1]
[sigmoid: 1]
[boost_from_average: 1]
[reg_sqrt: 0]
[alpha: 0.9]
[fair_c: 1]
[poisson_max_delta_step: 0.7]
[tweedie_variance_power: 1.5]
[lambdarank_truncation_level: 30]
[lambdarank_norm: 1]
[label_gain: ]
[lambdarank_position_bias_regularization: 0]
[eval_at: ]
[multi_error_top_k: 1]
[auc_mu_weights: ]
[num_machines: 1]
[local_listen_port: 12400]
[time_out: 120]
[machine_list_filename: ]
[machines: ]
[gpu_platform_id: -1]
[gpu_device_id: -1]
[gpu_use_dp: 0]
[num_gpu: 1]
end of parameters
pandas_categorical:[]