{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "OvF0sMOH_aRm" }, "source": [ "# Import" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "id": "hHTaeaiTE7kr" }, "outputs": [], "source": [ "#Untuk Explore dan Preprocessing Data\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", "from seaborn import external\n", "import matplotlib.pyplot as plt\n", "from sklearn.pipeline import Pipeline\n", "from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler\n", "from sklearn.preprocessing import OneHotEncoder, LabelEncoder\n", "from sklearn.compose import ColumnTransformer\n", "from sklearn.model_selection import train_test_split\n", "from imblearn.over_sampling import SMOTE\n", "from imblearn.pipeline import Pipeline as ImbPipeline\n", "\n", "#Untuk Model\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.ensemble import RandomForestClassifier\n", "import xgboost as xgb\n", "from xgboost import XGBClassifier\n", "import joblib\n", "\n", "#Untuk Hyperparameter Tuning\n", "from sklearn.model_selection import GridSearchCV\n", "\n", "#Untuk Evaluasi Model\n", "from sklearn.metrics import classification_report, roc_auc_score, f1_score, confusion_matrix, RocCurveDisplay\n", "\n", "#Untuk Interpretasi Model\n", "from sklearn.tree import export_text\n", "from sklearn.tree import plot_tree\n", "from sklearn.inspection import PartialDependenceDisplay" ] }, { "cell_type": "markdown", "metadata": { "id": "3tpteA_wzjZV" }, "source": [ "# Module XGBoost Approximator" ] }, { "cell_type": "markdown", "metadata": { "id": "Xs62Re63DN5C" }, "source": [ "## Utils" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "id": "wLTBWeqLB-Wq" }, "outputs": [], "source": [ "\"\"\"\n", "This module contains several functions that are used in various stages of the process\n", "\"\"\"\n", "import numpy as np\n", "from sklearn.metrics import roc_curve, auc\n", "import xgboost as xg\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.model_selection import GridSearchCV\n", "from sklearn.ensemble import RandomForestClassifier\n", "import random\n", "\n", "RANDOM_SEED = 1\n", "\n", "def softmax(x):\n", " \"\"\"\n", " This function is useful for converting the aggregated results come from the different trees into class probabilities\n", " :param x: Numpy k-dimensional array\n", " :return: Softmax of X\n", " \"\"\"\n", " return np.array([np.exp(x)/np.sum(np.exp(x))])\n", "\n", "def get_auc(test_y,y_score):\n", " \"\"\"\n", "\n", " :param test_y: Labels\n", " :param y_score: probabilities of labels\n", " :return: ROC AUC score\n", " \"\"\"\n", " np.random.seed(RANDOM_SEED)\n", " classes=[i for i in range(y_score.shape[1])]\n", " y_test_binarize=np.array([[1 if i ==c else 0 for c in classes] for i in test_y])\n", " fpr, tpr, _ = roc_curve(y_test_binarize.ravel(), y_score.ravel())\n", " return auc(fpr, tpr)\n", "\n", "def train_decision_tree(train,feature_cols,label_col):\n", " \"\"\"\n", " This function gets a dataframe as an input and optimizes a decision tree to the data\n", "\n", " :param train: Pandas dataframe\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :return: Trained sklearn decision tree\n", " \"\"\"\n", " np.random.seed(RANDOM_SEED)\n", " parameters = {'criterion': ['entropy', 'gini'],\n", " 'max_depth': [3, 5, 10, 20, 50],\n", " 'min_samples_leaf': [1, 2, 5, 10]}\n", " model = DecisionTreeClassifier()\n", " clfGS = GridSearchCV(model, parameters, cv=3)\n", " clfGS.fit(train[feature_cols].values, train[label_col])\n", " return clfGS.best_estimator_\n", "\n", "\n", "\n", "def train_rf_model(train,feature_cols,label_col):\n", " \"\"\"\n", " This function gets a dataframe as an input and optimizes a random forest classifier to the data\n", "\n", " :param train: Pandas dataframe\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :return: Trained random forest classifier\n", " \"\"\"\n", " np.random.seed(RANDOM_SEED)\n", " parameters = {'n_estimators':[50,100],\n", " 'criterion': ['entropy'],\n", " 'min_samples_leaf': [1, 10, 100],\n", " 'max_features':['auto','log2']}\n", " model = RandomForestClassifier()\n", " clfGS = GridSearchCV(model, parameters, cv=3)\n", " clfGS.fit(train[feature_cols].values, train[label_col])\n", " return clfGS.best_estimator_\n", "\n", "def train_xgb_classifier(train,feature_cols,label_col,xgb_params):\n", " \"\"\"\n", " Train an XGBoost to the input dataframe\n", "\n", " :param train: pandas dataframe\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :param xgb_params: Dict of XGBoost parameters\n", " :return: label column namened XGboost\n", " \"\"\"\n", " np.random.seed(RANDOM_SEED)\n", " tuning_params = {'colsample_bytree': [0.3,0.5,0.9],\n", " 'learning_rate': [0.01,0.1],\n", " 'max_depth': [2,5,10],\n", " 'alpha': [1,10],\n", " 'n_estimators':[50,100]}\n", " if train[label_col].nunique() > 2:\n", " xgb_params['objective'] = \"multi:softprob\"\n", " else:\n", " xgb_params['objective'] = \"binary:logitraw\"\n", " model = xg.XGBClassifier(xgb_params)\n", " clfGS = GridSearchCV(model, tuning_params, cv=3)\n", " clfGS.fit(train[feature_cols], train[label_col])\n", " return clfGS.best_estimator_\n", "\n", "def decision_tree_instance_depth(inst, dt):\n", " \"\"\"\n", "\n", " :param inst: Instance to be inferenced - numpy vector\n", " :param dt: sklearn decision tree\n", " :return: The depth of the leaf that corresponds the instance\n", " \"\"\"\n", " indx = 0\n", " depth = 0\n", " # epsilon: thresholds may be shifted by a very small floating points. For example: x1 <= 2.6 may become x1 <= 2.5999999\n", " # and then x1 = 2.6 won't be captured\n", " epsilon = 0.0000001\n", " t = dt.tree_\n", " while t.feature[indx] >= 0:\n", " if inst[t.feature[indx]] <= t.threshold[indx] + epsilon:\n", " indx = t.children_left[indx]\n", " else:\n", " indx = t.children_right[indx]\n", " depth += 1\n", " return depth\n", "\n", "def decision_tree_depths(test,feature_cols,dt):\n", " \"\"\"\n", " This function is used for calculatingg the prediction depths of each instance that were inferenced by the input\n", " decision tree\n", "\n", " :param test: Pandas dataframe\n", " :param feature_cols: feature column names\n", " :param dt: decision tree\n", " :return: the depths of leaves that were assigned to each instance\n", " \"\"\"\n", " X = test[feature_cols].values\n", " return [decision_tree_instance_depth(inst,dt) for inst in X]\n", "\n", "#The following are not used:\n", "\n", "def train_xgb_classifier2(train,feature_cols,label_col,xgb_params):\n", " \"\"\"\n", " Train an XGBoost to the input dataframe\n", "\n", " :param train: pandas dataframe\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :param xgb_params: Dict of XGBoost parameters\n", " :return: label column namened XGboost\n", " \"\"\"\n", " if train[label_col].nunique() > 2:\n", " obj = \"multi:softprob\"\n", " else:\n", " obj = \"binary:logitraw\"\n", " xgb_model = xg.XGBClassifier(**xgb_params)\n", " xgb_model.fit(train[feature_cols], train[label_col])\n", " return xgb_model\n", "\n", "def ensemble_prediction_depth(X, rf):\n", " depths = []\n", " for inst in X:\n", " depths.append(np.sum([tree_prediction_depth(inst,base_model.tree_) for base_model in rf.estimators_]))\n", " return depths\n", "\n", "def tree_prediction_depth(inst, t):\n", " indx = 0\n", " depth = 0\n", " epsilon = 0.0000001\n", " # epsilon: thresholds may be shifted by a very small floating points. For example: x1 <= 2.6 may become x1 <= 2.5999999\n", " # and then x1 = 2.6 won't be captured\n", " while t.feature[indx] >= 0:\n", " if inst[t.feature[indx]] <= t.threshold[indx] + epsilon:\n", " indx = t.children_left[indx]\n", " else:\n", " indx = t.children_right[indx]\n", " depth += 1\n", " return depth\n", "\n", "def get_features_statistics(data):\n", " min_values = {col:min(data[col]) for col in data.columns}\n", " max_values = {col: max(data[col]) for col in data.columns}\n", " mean_values = {col: np.mean(data[col]) for col in data.columns}\n", " return min_values, max_values, mean_values" ] }, { "cell_type": "markdown", "metadata": { "id": "-jB_9sjJDmzI" }, "source": [ "## Conjunction" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "id": "uI1ANQM1DoqE" }, "outputs": [], "source": [ "\"\"\"\n", "This module contains the conjunction class\n", "\n", "\"\"\"\n", "import numpy as np\n", "\n", "class Conjunction():\n", " \"\"\"\n", " A conjunction is a combination of feature bounds mapped into a class probability vector\n", " \"\"\"\n", " def __init__(self,feature_names,label_names,leaf_index=None,label_probas=None):\n", " \"\"\"\n", " :param feature_names: list of strings. Also determine the dimensionality\n", " :param label_names: list of labels. Determines the number of labels too\n", " :param leaf_index: This feature is optional. Can be relevant if we'd like to document the leaves that were used from the input forest\n", " :param label_probas: also optional. Relevant if we'd like to determine the class probabilities within the constructor\n", " \"\"\"\n", " self.feature_names = feature_names\n", " self.number_of_features = len(feature_names)\n", " self.label_names = label_names\n", "\n", " # upper and lower bounds of the feature for each rule\n", " self.features_upper = [np.inf] * len(feature_names)\n", " self.features_lower = [-np.inf] * len(feature_names)\n", "\n", " self.label_probas = np.array(label_probas)\n", " self.leaf_index = leaf_index\n", "\n", " #The following dict is used for excluding irrelevant merges of different dummy variables that come from the same categorical feature\n", " self.categorical_features_dict={}\n", "\n", " def addCondition(self, feature, threshold, bound):\n", " \"\"\"\n", " This method adds a condition to the conjunction if relevant (rule isn't already contained in the conjunction)\n", "\n", " :param feature: relevant feature\n", " :param threshold: upper\\lower bound\n", " :param bound: bound direction\n", "\n", " \"\"\"\n", " #Check if the rule isn't already contained in the conjunction\n", " if bound == 'lower':\n", " if self.features_lower[feature] < threshold:\n", " self.features_lower[feature] = threshold\n", " else:\n", " if self.features_upper[feature] > threshold:\n", " self.features_upper[feature] = threshold\n", "\n", " #Address categorical features:\n", " if '=' in self.feature_names[feature] and threshold >= 1 and bound == 'lower':\n", " splitted = self.feature_names[feature].split('=')\n", " self.categorical_features_dict[splitted[0]] = splitted[1]\n", "\n", " def isContradict(self, other_conjunction):\n", " \"\"\"\n", " :param other_conjunction: conjunction object\n", " :return: True if other and self have at least one contradiction, otherwise False\n", " \"\"\"\n", "\n", " #Check upper and lower bounds contradiction\n", " for i in range(self.number_of_features):\n", " if self.features_upper[i] <= other_conjunction.features_lower[i] or self.features_lower[i] >= other_conjunction.features_upper[i]:\n", " return True\n", "\n", " # check for categorical features contradiction\n", " for feature in self.feature_names:\n", " if feature in self.categorical_features_dict and feature in other_conjunction.categorical_features_dict:\n", " if self.categorical_features_dict[feature] != other_conjunction.categorical_features_dict[feature]:\n", " return True\n", "\n", " def merge(self, other):\n", " \"\"\"\n", " :param other: conjunction\n", " :return: new_conjunction - a merge of the self conjunction with other\n", " \"\"\"\n", " new_conjunction = Conjunction(self.feature_names,self.label_names,\n", " self.leaf_index+other.leaf_index,self.label_probas+other.label_probas)\n", " new_conjunction.features_upper = [min(i,j) for i,j in zip(self.features_upper,other.features_upper)]\n", " new_conjunction.features_lower = [max(i, j) for i, j in zip(self.features_lower, other.features_lower)]\n", " new_conjunction.categorical_features_dict = self.categorical_features_dict\n", " new_conjunction.categorical_features_dict.update(other.categorical_features_dict)\n", " return new_conjunction\n", "\n", " def containsInstance(self,inst):\n", " \"\"\"\n", " Checks whether the input instance falls under the conjunction\n", "\n", " :param inst:\n", " :return: True if\n", " \"\"\"\n", " for i, lower, upper in zip(range(len(inst)), self.features_lower, self.features_upper):\n", " if inst[i] >= upper or inst[i] < lower:\n", " return False\n", " return True\n", "\n", " def has_low_interval(self,lowest_intervals):\n", " for lower,upper,interval in zip(self.features_lower,self.features_upper,lowest_intervals):\n", " if upper-lower= ' + str(np.round(threshold,3)) + \", \"\n", " #save upper bounds\n", " for feature, threshold in enumerate(self.features_upper):\n", " if threshold != np.inf:\n", " s += self.feature_names[feature] + ' < ' + str(np.round(threshold,3)) + \", \"\n", " #save labels\n", " s += 'labels: ['\n", " s+=str(self.label_probas)\n", " s += ']'\n", " return s\n", "\n", " #From here on everything is still tested\n", " def get_data_point(self, min_values, max_values, mean_values):\n", " X = []\n", " for i,feature in enumerate(self.feature_names):\n", " if self.features_lower[i]==-np.inf and self.features_upper[i]==np.inf:\n", " X.append(mean_values[feature])\n", " else:\n", " X.append(np.mean([max(min_values[feature],self.features_lower[i]), min(max_values[feature],self.features_upper[i])]))\n", " return np.array(X)" ] }, { "cell_type": "markdown", "metadata": { "id": "uaBU8CeXC9Wb" }, "source": [ "## Tree" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "id": "oriA_Us3B_WD" }, "outputs": [], "source": [ "\"\"\"\n", "This module contain a tree class and several functions that are used for constructing the decision tree (stage 2 of the FBT algorithm)\n", "\"\"\"\n", "\n", "from scipy.stats import entropy\n", "\n", "class Tree():\n", " \"\"\"\n", " A decision tree that is based on hierarchical ordering of conjunction set\n", "\n", " Essentialy, the tree is a node with 2 descendents in case of an internal node and a prediction vector if its a leaf\n", " \"\"\"\n", "\n", " def __init__(self,conjunctions, splitting_values,max_depth):\n", " \"\"\"\n", " :param conjunctions: A list of conjunctions\n", " :param splitting_values: A dictionary in ehich keys are features and values are splitting values ordered by frequency\n", " :param max_depth: Tree maximum depth\n", " \"\"\"\n", "\n", " self.conjunctions = conjunctions\n", " self.splitting_values = splitting_values\n", " self.max_depth = max_depth\n", "\n", " def split(self):\n", " # 1. Spliting is stopped if:\n", " # a. there's a single conjunctions\n", " # b. Entropy doesn't improved\n", " # 2. Splitting values - at each iteration we selrct the most common value for each feature and selects\n", " # The one with the highest information gain\n", " # 3. Information gain is calculated as the mean emtropy across the different feature dimensions\n", " if len(self.conjunctions) == 1 or self.max_depth == 0:\n", " self.selected_feature = None\n", " self.left = None\n", " self.right = None\n", " return\n", " if len(set([np.argmax(conj.label_probas) for conj in self.conjunctions])) > 1:\n", " self.selected_feature, self.selected_value, self.entropy, \\\n", " l_conjunctions, r_conjunctions = select_splitting_feature_by_entropy(self.conjunctions, self.splitting_values)\n", " else:\n", " self.selected_feature, self.selected_value, self.entropy, \\\n", " l_conjunctions, r_conjunctions = select_splitting_feature_by_max_splitting(self.conjunctions,\n", " self.splitting_values)\n", " if self.selected_feature is None:\n", " return\n", " descending_splitting_values = {k:([i for i in v if i!=self.selected_value] if k == self.selected_feature else v) for k,v in self.splitting_values.items()}\n", " self.left = Tree(l_conjunctions,descending_splitting_values,max_depth = self.max_depth-1)\n", " self.right = Tree(r_conjunctions, descending_splitting_values,max_depth = self.max_depth-1)\n", " self.left.split()\n", " self.right.split()\n", "\n", " def print_tree(self, feature_cols, prefix='|'):\n", " print(prefix, end='')\n", " if self.selected_feature is None:\n", " # Calculate the mean of the probabilities\n", " probas = np.array([c.label_probas for c in self.conjunctions])\n", " mean_probas = probas.mean(axis=0)\n", "\n", " # Determine the class with the highest mean probability\n", " class_label = np.argmax(mean_probas)\n", " print('--- Class:', self.conjunctions[0].label_names[class_label])\n", " return\n", " print('--- ' + str(feature_cols[self.selected_feature]) + ' >= ' + str(self.selected_value))\n", " self.left.print_tree(feature_cols, prefix + ' |')\n", " print(prefix, end='')\n", " print('--- ' + str(feature_cols[self.selected_feature]) + ' < ' + str(self.selected_value))\n", " self.right.print_tree(feature_cols, prefix + ' |')\n", "\n", "\n", " def predict_instance_proba(self,inst):\n", " \"\"\"\n", " Predicte class probabilities for a given instance\n", "\n", " :param inst: Numpy array. Each dimension is a feature\n", " :return: class probabilities\n", "\n", " This is a recursive method that routes the instance to its relevant leaf\n", " \"\"\"\n", " if self.selected_feature == None:\n", " #return softmax(np.array([c.label_probas for c in self.conjunctions]).sum(axis=0))\n", " return np.array([softmax(c.label_probas) for c in self.conjunctions]).mean(axis=0)[0]\n", " if inst[self.selected_feature] >= self.selected_value:\n", " return self.left.predict_instance_proba(inst)\n", " else:\n", " return self.right.predict_instance_proba(inst)\n", "\n", " def get_instance_decision_path(self, inst,result=[]):\n", " \"\"\"\n", "\n", " :param inst: numpy array represents an instance to be inferenced\n", " :param result: a list where each item represents a node\n", " :return:\n", " \"\"\"\n", " result=list(result)\n", " if self.selected_feature == None:\n", " result.append('labels: '+str(np.array([softmax(c.label_probas) for c in self.conjunctions]).mean(axis=0)[0]))\n", " return result\n", " else:\n", " if inst[self.selected_feature] >= self.selected_value:\n", " result.append(str(self.selected_feature)+'>='+str(self.selected_value))\n", " return self.left.get_instance_decision_path(inst,result)\n", " else:\n", " result.append(str(self.selected_feature) + '<' + str(self.selected_value))\n", " return self.right.get_instance_decision_path(inst, result)\n", "\n", " def predict_proba(self,data):\n", " \"\"\"\n", " Predicted class probabilities for each data instance\n", "\n", " :param data: pandas dataframe\n", " :return: numpy array with calss probabilities for each data instance\n", " \"\"\"\n", " probas=[]\n", " for inst in data.values:\n", " probas.append(self.predict_instance_proba(inst))\n", " return np.array(probas)\n", "\n", " def get_decision_paths(self,data):\n", " \"\"\"\n", "\n", " :param data: matrix of [numer_of_instances, number_of_features] dimensions\n", " :return: A list where each item corresponds to the decision path of one insance\n", " \"\"\"\n", " paths = []\n", " for inst in data.values:\n", " paths.append(self.get_instance_decision_path(inst))\n", " return paths\n", "\n", " # The following methods are relevant for the experimental evaluation. Enable calculating the depth of leaves used for predictions\n", " def predict_proba_and_depth(self,data):\n", " probas = []\n", " depths = []\n", " for inst in data.values:\n", " proba, depth = self.predict_instance_proba_and_depth(inst)\n", " probas.append(proba)\n", " depths.append(depth)\n", " return np.array(probas),depths\n", "\n", " def predict_instance_proba_and_depth(self,inst):\n", " if self.selected_feature == None:\n", " #return softmax(np.array([c.label_probas for c in self.conjunctions]).sum(axis=0))\n", " return np.array([softmax(c.label_probas) for c in self.conjunctions]).mean(axis=0)[0], 0\n", " if inst[self.selected_feature] >= self.selected_value:\n", " probas, depth = self.left.predict_instance_proba_and_depth(inst)\n", " return probas, depth + 1\n", " else:\n", " probas, depth = self.right.predict_instance_proba_and_depth(inst)\n", " return probas, depth + 1\n", "\n", "\n", "def select_splitting_feature_by_entropy(conjunctions, splitting_values):\n", " \"\"\"\n", " :param conjunctions: List of conjunctions\n", " :param splitting_values: A dictionary. Keys are features and values are splitting points, ordered by frequency\n", " :return: selected feature, splitting value, weighted entropy stemmed from the split, conjunctions of the left node, conjunctions of the right node\n", "\n", " Splitting algorithm:\n", " 1. Define the best entropy as the current entropy of the class probability vectors\n", " 2. For each feature - get the most frequent spliiting value (first item of the dict) and calculate weighted entropy of split\n", " 3. Based on the best entropy - return the derived variables\n", " \"\"\"\n", " conjunctions_len = len(conjunctions)\n", " best_entropy = get_entropy([c.label_probas for c in conjunctions])\n", " selected_feature,selected_value,l_conjunctions, r_conjunctions = None, None, None, None\n", " for feature,values in splitting_values.items():\n", " if len(values)==0:\n", " continue\n", " for i in range(len(values)):#We iterate over all the values within the feature to find the best splitting point\n", " temp_l_conjunctions, temp_r_conjunctions,temp_entropy = calculate_entropy_for_split(conjunctions,feature, values[i])\n", " # We want to prevent a case where all the conjunctions are going to one of the descendent\n", " if temp_entropy < best_entropy and len(temp_l_conjunctions) < conjunctions_len and len(temp_r_conjunctions) < conjunctions_len:\n", " best_entropy = temp_entropy\n", " selected_feature = feature\n", " selected_value = values[i]\n", " l_conjunctions = temp_l_conjunctions\n", " r_conjunctions = temp_r_conjunctions\n", " return selected_feature,selected_value,best_entropy, l_conjunctions, r_conjunctions\n", "\n", "def select_splitting_feature_by_max_splitting(conjunctions,splitting_values):\n", " \"\"\"\n", "\n", " :param conjunctions: List of conjunctions\n", " :param splitting_values: A dictionary. Keys are features and values are splitting points, ordered by frequency\n", " :return: selected feature, splitting value, weighted entropy stemmed from the split, conjunctions of the left node, conjunctions of the right node\n", "\n", " Splitting algorithm:\n", " 1. Define the best entropy as the current entropy of the class probability vectors\n", " 2. For each feature - get the most frequent spliiting value (first item of the dict) and calculate weighted entropy of split\n", " 3. Based on the best entropy - return the derived variables\n", " \"\"\"\n", " conjunctions_len = len(conjunctions)\n", " #best_entropy = get_entropy([c.label_probas for c in conjunctions])\n", " best_value = len(conjunctions)\n", " selected_feature,selected_value,l_conjunctions, r_conjunctions = None, None, None, None\n", " for feature,values in splitting_values.items():\n", " if len(values)==0:\n", " continue\n", " for i in range(len(values)):#We iterate over all the values within the feature to find the best splitting point\n", " temp_l_conjunctions, temp_r_conjunctions, temp_value = calculate_max_for_split(conjunctions, feature, values[i])\n", " if temp_value < best_value:\n", " best_value = temp_value\n", " selected_feature = feature\n", " selected_value = values[i]\n", " l_conjunctions = temp_l_conjunctions\n", " r_conjunctions = temp_r_conjunctions\n", "\n", " return selected_feature,selected_value,0, l_conjunctions, r_conjunctions\n", "\n", "def calculate_entropy_for_split(conjunctions,feature,value):\n", " \"\"\"\n", " Calculate the entropy of splitting the conjunctions according to the given feature vale\n", "\n", " :param conjunctions: List of conjunctions\n", " :param feature: splitting feature\n", " :param value: splitting value\n", " :return: conjunctions of left and right nodes, weighted entropy\n", " \"\"\"\n", " l_conjunctions = []\n", " r_conjunctions = []\n", " l_probas = []\n", " r_probas = []\n", " for conj in conjunctions:\n", " if conj.features_upper[feature] <= value:\n", " r_conjunctions.append(conj)\n", " r_probas.append(conj.label_probas)\n", " elif conj.features_lower[feature] >= value:\n", " l_conjunctions.append(conj)\n", " l_probas.append(conj.label_probas)\n", " else:\n", " r_conjunctions.append(conj)\n", " r_probas.append(conj.label_probas)\n", " l_conjunctions.append(conj)\n", " l_probas.append(conj.label_probas)\n", " return l_conjunctions, r_conjunctions, calculate_weighted_entropy(l_probas, r_probas)\n", "\n", "def calculate_weighted_entropy(l_probas,r_probas):\n", " \"\"\"\n", "\n", " :param l_probas: numpy array wehre each item is a probability vector\n", " :param r_probas: numpy array wehre each item is a probability vector\n", " :return: weighted entropy\n", " \"\"\"\n", " l_entropy, r_entropy = get_entropy(l_probas), get_entropy(r_probas)\n", " l_size,r_size = len(l_probas),len(r_probas)\n", " overall_size = l_size+r_size\n", " return(l_size*l_entropy+r_size*r_entropy)/overall_size\n", "\n", "\n", "def get_entropy(probas):\n", " \"\"\"\n", " Calculate antropy of an array of class probability vectors\n", " :param probas: An array of class probability vectors\n", " :return: the average entropy of each class vector\n", " \"\"\"\n", " values = np.array([np.argmax(x) for x in probas])\n", " values, counts = np.unique(values, return_counts=True)\n", " probas = counts / np.sum(counts)\n", " return entropy(probas)\n", "\n", "def calculate_max_for_split(conjunctions,feature,value):\n", " l_conjunctions = []\n", " r_conjunctions = []\n", " l_probas = []\n", " r_probas = []\n", " for conj in conjunctions:\n", " if conj.features_upper[feature] <= value:\n", " r_conjunctions.append(conj)\n", " r_probas.append(conj.label_probas)\n", " elif conj.features_lower[feature] >= value:\n", " l_conjunctions.append(conj)\n", " l_probas.append(conj.label_probas)\n", " else:\n", " r_conjunctions.append(conj)\n", " r_probas.append(conj.label_probas)\n", " l_conjunctions.append(conj)\n", " l_probas.append(conj.label_probas)\n", " return l_conjunctions, r_conjunctions, max(len(l_conjunctions),len(r_conjunctions))" ] }, { "cell_type": "markdown", "metadata": { "id": "WvmAWuVhDWgr" }, "source": [ "## Pruning" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "id": "7WoStxvtDe7F" }, "outputs": [], "source": [ "\"\"\"\n", "This module contain the Pruner function for pruning a decision forest\n", "\"\"\"\n", "import pandas as pd\n", "import numpy as np\n", "from sklearn.metrics import cohen_kappa_score\n", "\n", "class Pruner():\n", " \"\"\"\n", " A static class that supports the pruning of a decision forest\n", " \"\"\"\n", " def predict_probas_tree(self,conjunctions,X):\n", " \"\"\"\n", " Predict probabilities for X using a tree, represented as a conjunction set\n", "\n", " :param conjunctions: A list of conjunctions\n", " :param X: numpy array of data instances\n", " :return: class probabilities for each instance of X\n", " \"\"\"\n", "\n", " probas = []\n", " for inst in X:\n", " for conj in conjunctions:\n", " if conj.containsInstance(inst):\n", " probas.append(conj.label_probas)\n", " return np.array(probas)\n", " def predict_probas(self,forest,X):\n", " \"\"\"\n", " Predict probabilities of X, using a decision forest\n", "\n", " :param forest: A list of decision trees where each tree is a list of conjunctions\n", " :param X: Numpy array of data instances\n", " :return: List of class probabilities vector\n", " \"\"\"\n", " predictions = []\n", " if isinstance(X, pd.DataFrame):\n", " X = X.values\n", " for t in forest:\n", " predictions.append(self.predict_probas_tree(t, X))\n", " return np.array([softmax(pred)[0] for pred in np.array(predictions).sum(axis=0)])\n", "\n", " def predict(self,forest,X):\n", " \"\"\"\n", " Predict labels of X, using a decision forest\n", "\n", " :param forest: A list of decision trees where each tree is a list of conjunctions\n", " :param X: Numpy array of data instances\n", " :return: class vector\n", " \"\"\"\n", " return np.argmax(self.predict_probas(forest,X),axis=1)\n", "\n", " def get_forest_auc(self,forest,X,Y):\n", " \"\"\"\n", " Calculates predictions ROC AUC\n", "\n", " :param forest: A list of lists of conjunctions\n", " :param X: Numpy array of data instances\n", " :param Y: Label vector\n", " :return: ROC AUC\n", " \"\"\"\n", " y_probas = self.predict_probas(forest,X)\n", " return get_auc(Y,y_probas)\n", "\n", " def forests_kappa_score(self,probas1,probas2):\n", " \"\"\"\n", " Calculates Cohen's kappa of the predictions divided from two vectors of class probabilities\n", "\n", " :param probas1: list of class probabilities\n", " :param probas2: list of class probabilities\n", " :return: Cohen's kappa\n", " \"\"\"\n", "\n", " predictions1 = np.array([np.argmax(i) for i in probas1])\n", " predictions2 = np.array([np.argmax(i) for i in probas1])\n", " return cohen_kappa_score(predictions1,predictions2)\n", "\n", " def kappa_based_pruning(self,forest,X,Y,min_forest_size=10):\n", " \"\"\"\n", " This method conduct a kappa-based ensemble pruning.\n", "\n", " :param forest: A list of lists of conjunctions (a decision forest)\n", " :param X: Numpy array (data instances)\n", " :param Y: Label vector\n", " :param min_forest_size: minimum size of the pruned ensemble\n", " :return: list of lists of conjunctions - represents the pruned ensemble\n", "\n", " The algorithm contains the following stages:\n", " 1. Add the tree with the highest AUC for X to the new (empty) forest\n", " 2. At each iteration add the tree with the highest cohen's kappa in relation to the new forest\n", " 3. Stop when the new forest AUC doesn't improve and minimum forest size was reached\n", " \"\"\"\n", "\n", " selected_indexes = [np.argmax([self.get_forest_auc([t],X,Y) for t in forest])] #Include only the tree with the best AUC\n", " previous_auc = 0\n", " current_auc = get_auc(Y,self.predict_probas([forest[selected_indexes[0]]],X))\n", " new_forest = [forest[selected_indexes[0]]]\n", " while current_auc > previous_auc or len(new_forest) <= min_forest_size:\n", " kappas = [1 if i in selected_indexes else self.forests_kappa_score(new_forest,[t],X) for i,t in enumerate(forest)]\n", " new_index = np.argmin(kappas)\n", " if new_index in selected_indexes:\n", " break\n", " selected_indexes.append(new_index)\n", " previous_auc = current_auc\n", " new_forest.append(forest[new_index])\n", " current_auc = get_auc(Y,self.predict_probas(new_forest,X))\n", " return new_forest\n", "\n", " def max_auc_pruning(self, forest, X, Y, min_forest_size=10):\n", " \"\"\"\n", " This method conduct an ensemble pruning using a greedy algorithm that maximizes the AUC on the given dataset.\n", "\n", " :param forest: A list of lists of conjunctions (a decision forest)\n", " :param X: Numpy array (data instances)\n", " :param Y: Label vector\n", " :param min_forest_size: minimum size of the pruned ensemble\n", " :return: list of lists of conjunctions - represents the pruned ensemble\n", " \"\"\"\n", " X = X.values\n", " trees_predictions = {i: self.predict_probas_tree(forest[i],X) for i in range(len(forest))} #predictions are stored beforehand for efficiency purposes\n", " selected_indexes = [np.argmax([get_auc(Y,trees_predictions[i]) for i in trees_predictions])] #get the tree with the highest AUC for the given dataset\n", " previous_auc = 0\n", " best_auc = get_auc(Y,trees_predictions[selected_indexes[0]])\n", " while best_auc > previous_auc or len(selected_indexes) <= min_forest_size:\n", " previous_auc = best_auc\n", " best_index = None\n", " for i in range(len(forest)):\n", " if i in selected_indexes:\n", " continue\n", " probas = np.array([trees_predictions[indx] for indx in selected_indexes + [i]]) #get the probas given by each tree, included the tested one\n", " probas = np.array([softmax(prob)[0] for prob in probas.sum(axis=0)]) #aggregate the predictions\n", " temp_auc = get_auc(Y,probas)\n", " if temp_auc > best_auc or best_index==None:\n", " best_auc = temp_auc\n", " best_index = i\n", " selected_indexes.append(best_index)\n", " print('Pruned forest training set AUC: '+str(best_auc))\n", " return [t for i,t in enumerate(forest) if i in selected_indexes]\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "SYyw3TsrDV0U" }, "source": [ "## Tree Extraction" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "id": "fOxbi8nsDbm-" }, "outputs": [], "source": [ "\"\"\"\n", "This module contains functions for extracting information of individual trees from XGBoost\n", "\"\"\"\n", "\n", "import re\n", "#internal node parser:\n", "feature_regex = re.compile('\\D+(?P\\d+):\\[(?P[^<]+)<(?P[^\\]]+)\\D+(?P\\d+)\\D+(?P\\d+)\\D+(?P\\d+)')\n", "\n", "#leaf parser:\n", "leaf_regex = re.compile('\\D+(?P\\d+)[^\\=]+=(?P.+)')\n", "\n", "def extractNodesFromModel(model):\n", " \"\"\"\n", " Extract decision trees from XGBoost.\n", "\n", " :param model: XGBoost model\n", " :param feature_dict: {feature_name: feature_index}\n", " :return: trees: List of trees where trees represented as lists of dictionaries. Each dictionary represents a node within the corresponding tree\n", " \"\"\"\n", " trees= []\n", " for tree_string in model._Booster.get_dump():\n", " nodes = [feature_regex.search('t' + node).groupdict() if '[' in node else leaf_regex.search('t' +node).groupdict() for node in tree_string.split('\\n')[:-1]]\n", " trees.append(nodes)\n", " return trees\n", "\n", "def extractClassValue(tree,leaf_index,label_names,class_index):\n", " \"\"\"\n", " This function takes a leaf index and convert the class logit into a probability\n", "\n", " :param tree: dictionary that represents a decision tree\n", " :param leaf_index: leaf index - integer\n", " :param label_names: list of strings - labels\n", " :param class_index: index of the addressed class\n", " :return: class probabilitis\n", " \"\"\"\n", " pred = float(tree[leaf_index]['prediction'])\n", " if len(label_names)>2:\n", " return [pred if i == class_index else 0 for i in range(len(label_names))]\n", " else:\n", " p = 1 / (1 + np.exp(pred))\n", " return [p,1-p]\n", "def extractConjunctionsFromTree(tree, tree_index,leaf_index, feature_dict, label_names, class_index):\n", " \"\"\"\n", " Covert the leaves of a tree into a set of conjunctions\n", "\n", " :param tree: list of dictionaries where each dictionary represents a node within a tree\n", " :param leaf_index: index of the currently processed node\n", " :param feature_dict: {feature name: feature index} - for converting xgboost feature names to conjunction feature indices\n", " :param label_names: possible class values\n", " :param class_index: currently addressed class - since each model is basically a binary classification of tree of a single class it's impoertant to know the relevant class\n", " :return: A set of conjunctions\n", " \"\"\"\n", " if 'prediction' in tree[leaf_index]:\n", " probas = extractClassValue(tree,leaf_index,label_names,class_index)\n", " return [Conjunction(list(feature_dict.keys()),label_names,\n", " leaf_index=[str(tree_index)+'_'+str(leaf_index)],label_probas=probas)]\n", " l_conjunctions = extractConjunctionsFromTree(tree,tree_index,int(tree[leaf_index]['left']),feature_dict,label_names,class_index)\n", " r_conjunctions = extractConjunctionsFromTree(tree,tree_index,int(tree[leaf_index]['right']),feature_dict,label_names,class_index)\n", " for c in l_conjunctions:\n", " c.addCondition(feature_dict[tree[leaf_index]['feature']],float(tree[leaf_index]['value']),'upper')\n", " for c in r_conjunctions:\n", " c.addCondition(feature_dict[tree[leaf_index]['feature']],float(tree[leaf_index]['value']),'lower')\n", " return l_conjunctions + r_conjunctions\n", "\n", "def merge_two_conjunction_sets(conj_list1,conj_list2):\n", " \"\"\"\n", " Gets two conjunction sets and return a set that is a cartesian product of the two input sets\n", "\n", " :param conj_list1:\n", " :param conj_list2:\n", " :return:\n", " \"\"\"\n", " new_conjunction_list=[]\n", " for c1 in conj_list1:\n", " for c2 in conj_list2:\n", " if not c1.isContradict(c2):\n", " new_conjunction_list.append(c1.merge(c2))\n", " return new_conjunction_list\n", "\n", "def postProcessTrees(conjunction_sets, num_of_labels):\n", " \"\"\"\n", " This function is used for integrating mulitple binary trees into a single tree of multiple labels\n", "\n", " :param conjunction_sets: list of lists of conjunctions\n", " :param num_of_labels: number of labels in the dataset that was used for training\n", " :return: new list of conjunctions\n", " \"\"\"\n", "\n", " new_conj_list = []\n", " for i in range(0, len(conjunction_sets), num_of_labels):\n", " conj = conjunction_sets[i]\n", " for j in range(i + 1, i + num_of_labels):\n", " conj = merge_two_conjunction_sets(conj, conjunction_sets[j])\n", " new_conj_list.append(conj)\n", " return new_conj_list\n", "\n", "def extractConjunctionSetsFromForest(model,unique_labels,features):\n", " \"\"\"\n", " This function takes XGBoost model and returns a list of trees where each tree is represented as a list of conjunctions.\n", " Each of the tree conjunctions stands for a single decision path\n", "\n", " :param model: XGBoost model\n", " :param unique_labels: label names\n", " :param features: feature names\n", " :return: a list of conjunctions\n", " \"\"\"\n", "\n", " trees = extractNodesFromModel(model)\n", " num_of_labels = len(unique_labels)\n", " feature_dict = {v:k for k,v in enumerate(features)}\n", " conjunction_sets = {}\n", " for i,t in enumerate(trees): #i stands for the corresponding class index\n", " indexed_tree = {int(v['node_index']): v for v in t}\n", " conjunction_sets[i] = extractConjunctionsFromTree(indexed_tree,i,0, feature_dict, unique_labels, i % num_of_labels)\n", " if num_of_labels > 2:\n", " return postProcessTrees(conjunction_sets,num_of_labels)\n", " else:\n", " return list(conjunction_sets.values())\n" ] }, { "cell_type": "markdown", "metadata": { "id": "OUboZmDICpP9" }, "source": [ "## Conjunction Set" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "6KLh-uX7B_ic", "outputId": "d694121c-e9a7-492d-9a6b-bdb3270e1e11" }, "outputs": [], "source": [ "\"\"\"\n", "This module contains the ConjunctionSet class\n", "\"\"\"\n", "\n", "from statsmodels.distributions.empirical_distribution import ECDF\n", "from collections import Counter\n", "from pyod.models.knn import KNN\n", "from pyod.models.lof import LOF\n", "\n", "class ConjunctionSet():\n", " \"\"\"\n", " ConjunctionSet is a class that represents a set of conjunctions.\n", "\n", " This is the output of stage 1.\n", " Each conjunction at the given set represents a possible combination of leaves from the source decision forests.\n", " \"\"\"\n", "\n", " def __init__(self, max_number_of_conjunctions=np.inf, filter_method='probability'):\n", " \"\"\"\n", " :param max_number_of_conjunctions: Number of maximum allowed conjunctions at each iteration\n", " :param filter_method: The approach that will be takes for filtering conjunctions\n", " \"\"\"\n", " self.filter_method = filter_method\n", " self.max_number_of_conjunctions = max_number_of_conjunctions\n", "\n", " def fit(self,trees_conjunctions,data,feature_cols,label_col, int_features = []):\n", " \"\"\"\n", "\n", " :param trees_conjunctions: Decision forest given as a list of lists of conjunction objects.\n", " :param data: pandas dataframe that was used for training the decision forest\n", " :param feature_cols: Feature names in the dataframe\n", " :param label_col: label column name\n", " :param int_features: list of integer feartures\n", " :return: set a list of conjunction set that best represents the decision forest\n", " \"\"\"\n", " self.feature_cols = feature_cols\n", " self.labels = data[label_col].unique()\n", " self.trees_conjunctions = trees_conjunctions\n", " self.int_features = int_features\n", "\n", " #Create an ECDF for each feature\n", " self.set_probability_ecdf(data)\n", "\n", "\n", " #Extract all the leaf combinations that were applied for training data:\n", " print('Create conjunction set from training data instances')\n", " self.create_conjunction_set_from_data(data)\n", "\n", "\n", " #set maximum number of conjunctions per label\n", " print('Create complete conjunction set')\n", " self.calculate_max_conjunctions_per_label(data,label_col)\n", "\n", " # Run the algorithm of creating the complete conjunction set:\n", " self.createConjunctionSetFromTreeConjunctions()\n", "\n", " #Merge the two conjunctions:\n", " self.conjunctions = self.conjunctions + self.training_conjunctions\n", "\n", " #Get the ordered splitting points for creating the hierarchy at stage 2\n", " self.set_ordered_splitting_points()\n", "\n", " def createConjunctionSetFromTreeConjunctions(self):\n", " \"\"\"\n", " This method generates the conjunction set (stage 1) from the decision forest\n", " \"\"\"\n", " self.conjunctions = self.trees_conjunctions[0] #Define the first tree as the current conjunction set\n", " i = 1\n", " self.size_per_iteration = [len(self.conjunctions)]\n", " while i < len(self.trees_conjunctions): #At each iteration we merge the next tree with the current conjunction set\n", " self.conjunctions= merge_two_conjunction_sets(self.conjunctions, self.trees_conjunctions[i])\n", " i+=1\n", " self.filter() #Filter redundant conjunction according to the filtering strategy\n", " self.size_per_iteration.append(len(self.conjunctions))\n", " print('Size at iteration '+str(i)+': '+str(len(self.conjunctions)))\n", " def filter(self):\n", " \"\"\"\n", " This method filters the current conjunction set according to the filtering strategy.\n", "\n", " At the first stage it filters conjunctions that contain irrelevant integer rules.\n", " For example: If x is an integer then a conjunction that contains 5.5 >= x < 6 is filtered out\n", " \"\"\"\n", " self.conjunctions = [conj for conj in self.conjunctions if self.int_filter(conj)]\n", " if len(self.conjunctions)<=self.max_number_of_conjunctions:\n", " return\n", " if self.filter_method == 'probability':\n", " self.filter_by_probability()\n", " if self.filter_method == 'probability_label':\n", " self.filter_by_probability_labels()\n", " elif self.filter_method == 'knn':\n", " self.filter_by_knn()\n", " elif self.filter_method == 'LOF':\n", " self.filter_by_lof()\n", "\n", " def filter_by_probability(self,EPSILON=0.00001):\n", " \"\"\"\n", " This method filters conjunctions according to the product of each rule ECDF\n", "\n", " :param EPSILON: Prevent a case of probability = 0\n", "\n", " \"\"\"\n", " independent_probs = []\n", " for conj in self.conjunctions:\n", " independent_probs.append(np.sum(np.log([self.ecdf[col](conj.features_upper[col])-self.ecdf[col](conj.features_lower[col])+EPSILON for\n", " col in range(len(self.feature_cols))])))\n", " max_value = sorted(independent_probs, reverse=True)[self.max_number_of_conjunctions]\n", " self.conjunctions = [c for c,val in zip(self.conjunctions,independent_probs) if val >= max_value] #It actually includes a little more than max_number_of conjunctions due to the >=\n", "\n", " def predict(self,X):\n", " return [np.argmax(i) for i in self.predict_proba(X)]\n", "\n", " def predict_proba(self,X):\n", " predictions = []\n", " if isinstance(X,pd.DataFrame):\n", " X = X[self.feature_cols].values\n", " for inst in X:\n", " for conjunction in self.conjunctions:\n", " if conjunction.containsInstance(inst):\n", " predictions.append(np.exp(conjunction.label_probas) / np.sum(np.exp(conjunction.label_probas), axis=0)) #softmax\n", " break\n", " return np.array(predictions)\n", "\n", " #Filtering functions\n", "\n", " def set_probability_ecdf(self,data):\n", " self.ecdf = {i:ECDF(data[col].values) for i,col in enumerate(self.feature_cols)}\n", "\n", " def set_minimum_intervals(self,data):\n", " intervals = {col: data[col].diff().sort_values().dropna().values for col in self.feature_cols}\n", " self.minimum_intervals = [x[x > 0].min()*self.min_interval_ratio for col, x in intervals.items()]\n", "\n", " def int_filter(self,conj,EPSILLON=0.00001):\n", " for i,feature in enumerate(self.feature_cols):\n", " if feature in self.int_features:\n", " if conj.features_upper[i]-conj.features_lower[i]-EPSILLON <= 0.5 and (conj.features_lower[i] % 1) > 0:\n", " return False\n", " return True\n", "\n", " def create_conjunction_set_from_data(self,X):\n", " \"\"\"\n", "\n", " :param X: Pandas dataframe (or matrix)\n", " :return: training_conjunctions - all the conjunctions that were applied for X\n", " \"\"\"\n", " participated_leaves = []\n", " self.training_conjunctions = []\n", " if isinstance(X, pd.DataFrame):\n", " X = X[self.feature_cols].values\n", " for inst in X:\n", " s=''\n", " conj = Conjunction(self.feature_cols,self.labels,leaf_index=[],label_probas=np.zeros(len(self.labels))) #Define the conjunction\n", " for tree_index,tree in enumerate(self.trees_conjunctions):\n", " for leaf_index,leaf in enumerate(tree):\n", " if leaf.containsInstance(inst):\n", " conj = conj.merge(leaf)\n", " s+=str(tree_index)+'|'+str(leaf_index)+'_'\n", " if s not in participated_leaves:\n", " self.training_conjunctions.append(conj)\n", " participated_leaves.append(s)\n", " print('Number of conjunctions created from data: '+str(len(self.training_conjunctions)))\n", "\n", " def set_ordered_splitting_points(self):\n", " \"\"\"\n", " This method creates the splitting points for stage 2 (order the conjunctions in a hierarchical order)\n", " \"\"\"\n", " self.splitting_points = {i:[] for i in range(len(self.feature_cols))}\n", " for tree in self.trees_conjunctions:\n", " for leaf in tree:\n", " for i,lower,upper in zip(range(len(self.feature_cols)),leaf.features_lower,leaf.features_upper):\n", " self.splitting_points[i].extend([upper,lower])\n", " for i in self.splitting_points:\n", " self.splitting_points[i] = [v[0] for v in Counter(self.splitting_points[i]).most_common() if np.abs(v[0]) < np.inf]\n", "\n", " def filter_by_knn(self):\n", " \"\"\"\n", " Filter by KNN ANomaly detection method. Doesn't seem to be better than probability filtering for now\n", " :return:\n", " \"\"\"\n", " data_points = np.array([conj.get_data_point(self.min_values, self.max_values, self.mean_values)for conj in self.conjunctions]).reshape(len(self.conjunctions),len(self.feature_cols))\n", " anomaly_probas = [i[1] for i in self.knn_clf.predict_proba(data_points)]\n", " max_value = sorted(anomaly_probas)[self.max_number_of_conjunctions]\n", " self.conjunctions = [c for c, val in zip(self.conjunctions, anomaly_probas) if val <= max_value]\n", " def filter_by_lof(self):\n", " \"\"\"\n", " Filter by LOF ANomaly detection method. Doesn't seem to be better than probability filtering for now\n", " :return:\n", " \"\"\"\n", " data_points = np.array([conj.get_data_point(self.min_values, self.max_values, self.mean_values)for conj in self.conjunctions]).reshape(len(self.conjunctions),len(self.feature_cols))\n", " anomaly_probas = [i[1] for i in self.lof_clf.predict_proba(data_points)]\n", " max_value = sorted(anomaly_probas)[self.max_number_of_conjunctions]\n", " self.conjunctions = [c for c, val in zip(self.conjunctions, anomaly_probas) if val <= max_value]\n", "\n", " def calculate_max_conjunctions_per_label(self,data,label_col):\n", " self.max_conjunctions_per_label = dict((data[label_col].value_counts(normalize=True)*self.max_number_of_conjunctions).astype(int))\n", "\n", " def filter_by_probability_labels(self,EPSILON=0.00001):\n", " \"\"\"\n", "\n", " :param EPSILON: Added to the denominator to prevent devision by zero\n", " :return:\n", " \"\"\"\n", " conjunctions_dict = {}\n", " probs_dict = {}\n", "\n", " for indx,conj in enumerate(self.conjunctions):\n", " conjunctions_dict[indx] = conj\n", " probs_dict[indx] = np.sum(np.log(\n", " [self.ecdf[col](conj.features_upper[col]) - self.ecdf[col](conj.features_lower[col]) + EPSILON for\n", " col in range(len(self.feature_cols))]))\n", " probs_dict = dict(sorted(probs_dict.items(), key=lambda kv: kv[1], reverse=True))\n", " conjs_per_label = {label:0 for label in self.labels}\n", " conjunctions = []\n", " for indx in probs_dict:\n", " conj = conjunctions_dict[indx]\n", " label = np.argmax(conj.label_probas)\n", " if conjs_per_label[label] < self.max_conjunctions_per_label[label]:\n", " conjunctions.append(conj)\n", " conjs_per_label[label]+=1\n", " if len(conjunctions) == self.max_number_of_conjunctions:\n", " break\n", " self.conjunctions = conjunctions" ] }, { "cell_type": "markdown", "metadata": { "id": "UGeo7A_GCfb_" }, "source": [ "## FBT" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "id": "038wKAt9-vTy" }, "outputs": [], "source": [ "\"\"\"\n", "This module contains a forest based tree class (FBT).\n", "\n", "The class takes an XGBoost as an input and generates a decision aims at preserving the predictive performance of\n", "the XGboost model\n", "\"\"\"\n", "\n", "class FBT():\n", " \"\"\"\n", " This class creates a decision tree from an XGboost\n", " \"\"\"\n", " def __init__(self,max_depth,min_forest_size,max_number_of_conjunctions,pruning_method=None):\n", " \"\"\"\n", "\n", " :param max_depth: Maximum allowed depths of the generated tree\n", " :param min_forest_size: Minimum size of the pruned forest (relevant for the pruning stage)\n", " :param max_number_of_conjunctions:\n", " :param pruning_method: Pruning method. If None then there's no pruning. 'auc' is for greedy auc-bsed pruning\n", " :param xgb_model: Trained XGboost model\n", " \"\"\"\n", " self.min_forest_size = min_forest_size\n", " self.max_number_of_conjunctions = max_number_of_conjunctions\n", " self.pruning_method = pruning_method\n", " self.max_depth = max_depth\n", "\n", " def fit(self,train,feature_cols,label_col, xgb_model, pruned_forest=None, trees_conjunctions_total=None):\n", " \"\"\"\n", " Generates the decision tree by applying the following stages:\n", " 1. Generating a conjunction set that represents each tree of the decision forest\n", " 2. Prune the decision forest according to the given pruning approach\n", " 3. Generate the conjunction set (stage 1 in the algorithm presented)\n", " 4. Create a decision tree out of the generated conjunction set\n", "\n", " :param train: pandas dataframe that was used for training the XGBoost\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :param xgb_model: XGBoost\n", " :param pruned_forest: A list of trees, represnt a post-pruning forest. Relevant mostly for the experiment presented in the paper\n", " :param tree_conjunctions: This para\n", " \"\"\"\n", " self.feature_cols = feature_cols\n", " self.label_col = label_col\n", " self.int_cols = [k for k,v in train[feature_cols].dtypes.items() if 'int' in str(v)]\n", " self.xgb_model = xgb_model\n", " if pruned_forest is None or trees_conjunctions_total is None:\n", " self.trees_conjunctions_total = extractConjunctionSetsFromForest(self.xgb_model,train[self.label_col].unique(),self.feature_cols)\n", " print('Start pruning')\n", " self.prune(train)\n", " else:\n", " self.pruner = Pruner()\n", " self.trees_conjunctions_total = trees_conjunctions_total\n", " self.trees_conjunctions = pruned_forest\n", " self.cs = ConjunctionSet(max_number_of_conjunctions=self.max_number_of_conjunctions)\n", " self.cs.fit(self.trees_conjunctions,train, feature_cols,label_col,int_features=self.int_cols)\n", " print('Start ordering conjunction set in a tree structure')\n", " self.tree = Tree(self.cs.conjunctions, self.cs.splitting_points,self.max_depth)\n", " self.tree.split()\n", " print('Construction of tree has been completed')\n", "\n", " def prune(self,train):\n", " \"\"\"\n", "\n", " :param train: pandas dataframe used as a pruning dataset\n", " :return: creates a pruned decision forest (include only the relevant trees)\n", " \"\"\"\n", " if self.pruning_method == None:\n", " self.trees_conjunctions = self.trees_conjunctions_total\n", " self.pruner = Pruner()\n", " if self.pruning_method == 'auc':\n", " self.trees_conjunctions = self.pruner.max_auc_pruning(self.trees_conjunctions_total, train[self.feature_cols],\n", " train[self.label_col], min_forest_size=self.min_forest_size)\n", "\n", " def predict_proba(self,X):\n", " \"\"\"\n", " Returns class probabilities\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: class probabilities for the corresponding data\n", " \"\"\"\n", " return self.tree.predict_proba(X)\n", "\n", " def predict(self, X):\n", " \"\"\"\n", " Get predictions vector\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: Predicted classes\n", " \"\"\"\n", " return np.argmax(self.predict_proba(X), axis=1)\n", "\n", " def get_decision_paths(self, X):\n", " \"\"\"\n", "\n", " :param X: Pandas data frame of [number_of_instances, number_of_features] dimension\n", " :return: A list of decision paths where each decision path represented as a string of nodes. one node for the leaf and the other for the decision nodes\n", " \"\"\"\n", " paths = self.tree.get_decision_paths(X)\n", " processed_paths = []\n", " for path in paths:\n", " temp_path = []\n", " for node in path:\n", " if node.startswith('label'):\n", " temp_path.append(node)\n", " else:\n", " if '<' in node:\n", " splitted = node.split('<')\n", " temp_path.append(self.feature_cols[int(splitted[0])]+' < '+splitted[1])\n", " else:\n", " splitted = node.split('>=')\n", " temp_path.append(self.feature_cols[int(splitted[0])] + ' >= ' + splitted[1])\n", " processed_paths.append(temp_path)\n", " return processed_paths\n", "\n", " #######################################################################\n", " #The following functions are only relevant for the experiment\n", " # They should be excluded from the documentation of the package\n", " ########################################################################\n", "\n", " def predict_proba_and_depth(self,X):\n", " \"\"\"\n", " Get class probabilities and depths for each instance\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: class probabilities and the depth of each prediction\n", " \"\"\"\n", " return self.tree.predict_proba_and_depth(X)\n", "\n", " def predict_proba_pruned_forest(self,X):\n", " \"\"\"\n", " Predict_proba using the pruned forest\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: Class probabilities according to the pruned forest\n", " \"\"\"\n", " return self.pruner.predict_probas(self.trees_conjunctions,X)\n", "\n", " def predict_proba_and_depth_forest(self,X):\n", " \"\"\"\n", " Predict_proba and depth using the original forest\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: Class probabilities according to the forest and corresponding depths\n", " \"\"\"\n", " probas = []\n", " depths = []\n", " for inst in X.values:\n", " proba=[]\n", " depth = 0\n", " for t in self.trees_conjunctions_total:\n", " for conj in t:\n", " if conj.containsInstance(inst):\n", " depth+= np.sum(np.abs(conj.features_upper)!=np.inf) + np.sum(np.abs(conj.features_lower)!=np.inf)\n", " proba.append(conj.label_probas)\n", " depths.append(depth)\n", " probas.append(softmax(np.array(proba).sum(axis=0)))\n", " return np.array([i[0] for i in probas]), depths\n", "\n", " def predict_proba_and_depth_pruned_forest(self,X):\n", " \"\"\"\n", " Predict_proba and depth using the pruned forest\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: Class probabilities according to the pruned forest and corresponding depths\n", " \"\"\"\n", " probas = []\n", " depths = []\n", " for inst in X.values:\n", " proba=[]\n", " depth = 0\n", " for t in self.trees_conjunctions:\n", " for conj in t:\n", " if conj.containsInstance(inst):\n", " depth+= np.sum(np.abs(conj.features_upper)!=np.inf) + np.sum(np.abs(conj.features_lower)!=np.inf)\n", " proba.append(conj.label_probas)\n", " depths.append(depth)\n", " probas.append(softmax(np.array(proba).sum(axis=0)))\n", " return np.array([i[0] for i in probas]), depths" ] }, { "cell_type": "markdown", "metadata": { "id": "n-ic7xKk85zU" }, "source": [ "# Data Exploration" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "id": "8sPYc3gXFEyZ" }, "outputs": [], "source": [ "url = '/Users/adlir/Documents/Kuliah/Semester 7/TA 1/Submission Akhir (unsigned)/9000/9000.csv'\n", "df = pd.read_csv(url)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "zpOtkd3WGU6r", "outputId": "a5a6a54a-fe5a-4731-c4ab-281ba5fd52cf" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
WorkMarital_StatusHours_WeekCountryAbove_Below_50KEducationGenderOccupationCustomerIDAge...bodily_injurieswitnessespolice_report_availabletotal_claim_amountinjury_claimproperty_claimvehicle_claimauto_makeauto_yearfraud_reported
0Self-emp-not-incMarried-civ-spouse13United-States<=50KBachelorsMaleExec-managerial90250...12YES7161065101302052080Saab2004Y
1PrivateDivorced40United-States<=50KHS-gradMaleHandlers-cleaners550638...00?50707807803510Mercedes2007Y
2PrivateMarried-civ-spouse40United-States<=50K11thMaleHandlers-cleaners386953...23NO346507700385023100Dodge2007N
3PrivateMarried-civ-spouse40Cuba<=50KBachelorsFemaleProf-specialty710628...12NO634006340634050720Chevrolet2014Y
4PrivateMarried-civ-spouse40United-States<=50KMastersFemaleExec-managerial176037...01NO650013006504550Accura2009N
\n", "

5 rows × 37 columns

\n", "
" ], "text/plain": [ " Work Marital_Status Hours_Week Country \\\n", "0 Self-emp-not-inc Married-civ-spouse 13 United-States \n", "1 Private Divorced 40 United-States \n", "2 Private Married-civ-spouse 40 United-States \n", "3 Private Married-civ-spouse 40 Cuba \n", "4 Private Married-civ-spouse 40 United-States \n", "\n", " Above_Below_50K Education Gender Occupation CustomerID Age ... \\\n", "0 <=50K Bachelors Male Exec-managerial 902 50 ... \n", "1 <=50K HS-grad Male Handlers-cleaners 5506 38 ... \n", "2 <=50K 11th Male Handlers-cleaners 3869 53 ... \n", "3 <=50K Bachelors Female Prof-specialty 7106 28 ... \n", "4 <=50K Masters Female Exec-managerial 1760 37 ... \n", "\n", " bodily_injuries witnesses police_report_available total_claim_amount \\\n", "0 1 2 YES 71610 \n", "1 0 0 ? 5070 \n", "2 2 3 NO 34650 \n", "3 1 2 NO 63400 \n", "4 0 1 NO 6500 \n", "\n", " injury_claim property_claim vehicle_claim auto_make auto_year \\\n", "0 6510 13020 52080 Saab 2004 \n", "1 780 780 3510 Mercedes 2007 \n", "2 7700 3850 23100 Dodge 2007 \n", "3 6340 6340 50720 Chevrolet 2014 \n", "4 1300 650 4550 Accura 2009 \n", "\n", " fraud_reported \n", "0 Y \n", "1 Y \n", "2 N \n", "3 Y \n", "4 N \n", "\n", "[5 rows x 37 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "7iLnReHY8wvP", "outputId": "011e4bfd-6688-43a7-93bc-48a59dd4fcbc" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
WorkMarital_StatusHours_WeekCountryAbove_Below_50KEducationGenderOccupationCustomerIDAge...bodily_injurieswitnessespolice_report_availabletotal_claim_amountinjury_claimproperty_claimvehicle_claimauto_makeauto_yearfraud_reported
8995PrivateMarried-civ-spouse40United-States<=50KHS-gradMaleCraft-repair785453...01?8720017440872061040Honda2006N
8996PrivateMarried-civ-spouse48United-States<=50KHS-gradMaleHandlers-cleaners922620...23?108480180801808072320Volkswagen2015N
8997Self-emp-not-incMarried-civ-spouse18United-States<=50K1st-4thMaleTransport-moving669558...23YES675007500750052500Suburu1996N
8998Self-emp-not-incDivorced40United-States<=50KHS-gradMaleSales540251...01YES469805220522036540Audi1998N
8999PrivateNever-married48United-States<=50KHS-gradMaleHandlers-cleaners62225...03?50604609203680Mercedes2007N
\n", "

5 rows × 37 columns

\n", "
" ], "text/plain": [ " Work Marital_Status Hours_Week Country \\\n", "8995 Private Married-civ-spouse 40 United-States \n", "8996 Private Married-civ-spouse 48 United-States \n", "8997 Self-emp-not-inc Married-civ-spouse 18 United-States \n", "8998 Self-emp-not-inc Divorced 40 United-States \n", "8999 Private Never-married 48 United-States \n", "\n", " Above_Below_50K Education Gender Occupation CustomerID Age \\\n", "8995 <=50K HS-grad Male Craft-repair 7854 53 \n", "8996 <=50K HS-grad Male Handlers-cleaners 9226 20 \n", "8997 <=50K 1st-4th Male Transport-moving 6695 58 \n", "8998 <=50K HS-grad Male Sales 5402 51 \n", "8999 <=50K HS-grad Male Handlers-cleaners 622 25 \n", "\n", " ... bodily_injuries witnesses police_report_available \\\n", "8995 ... 0 1 ? \n", "8996 ... 2 3 ? \n", "8997 ... 2 3 YES \n", "8998 ... 0 1 YES \n", "8999 ... 0 3 ? \n", "\n", " total_claim_amount injury_claim property_claim vehicle_claim \\\n", "8995 87200 17440 8720 61040 \n", "8996 108480 18080 18080 72320 \n", "8997 67500 7500 7500 52500 \n", "8998 46980 5220 5220 36540 \n", "8999 5060 460 920 3680 \n", "\n", " auto_make auto_year fraud_reported \n", "8995 Honda 2006 N \n", "8996 Volkswagen 2015 N \n", "8997 Suburu 1996 N \n", "8998 Audi 1998 N \n", "8999 Mercedes 2007 N \n", "\n", "[5 rows x 37 columns]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.tail()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Q6s8IzA5GWuz", "outputId": "5d1e1225-05c7-45c9-fc6e-31a1771b3e5a" }, "outputs": [ { "data": { "text/plain": [ "Work object\n", "Marital_Status object\n", "Hours_Week int64\n", "Country object\n", "Above_Below_50K object\n", "Education object\n", "Gender object\n", "Occupation object\n", "CustomerID int64\n", "Age int64\n", "months_as_customer int64\n", "policy_deductable int64\n", "policy_annual_premium float64\n", "insured_zip int64\n", "insured_hobbies object\n", "insured_relationship object\n", "capital_gains int64\n", "capital_loss int64\n", "incident_type object\n", "collision_type object\n", "incident_severity object\n", "authorities_contacted object\n", "incident_city object\n", "incident_location object\n", "incident_hour_of_the_day int64\n", "number_of_vehicles_involved int64\n", "property_damage object\n", "bodily_injuries int64\n", "witnesses int64\n", "police_report_available object\n", "total_claim_amount int64\n", "injury_claim int64\n", "property_claim int64\n", "vehicle_claim int64\n", "auto_make object\n", "auto_year int64\n", "fraud_reported object\n", "dtype: object" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.dtypes" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "sXvxOkH4YBVg", "outputId": "3f5d0061-5473-43ad-dcf0-72f33caffc03" }, "outputs": [ { "data": { "text/plain": [ "Work 0\n", "Marital_Status 0\n", "Hours_Week 0\n", "Country 0\n", "Above_Below_50K 0\n", "Education 0\n", "Gender 0\n", "Occupation 0\n", "CustomerID 0\n", "Age 0\n", "months_as_customer 0\n", "policy_deductable 0\n", "policy_annual_premium 0\n", "insured_zip 0\n", "insured_hobbies 0\n", "insured_relationship 0\n", "capital_gains 0\n", "capital_loss 0\n", "incident_type 0\n", "collision_type 0\n", "incident_severity 0\n", "authorities_contacted 819\n", "incident_city 0\n", "incident_location 0\n", "incident_hour_of_the_day 0\n", "number_of_vehicles_involved 0\n", "property_damage 0\n", "bodily_injuries 0\n", "witnesses 0\n", "police_report_available 0\n", "total_claim_amount 0\n", "injury_claim 0\n", "property_claim 0\n", "vehicle_claim 0\n", "auto_make 0\n", "auto_year 0\n", "fraud_reported 0\n", "dtype: int64" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Memeriksa keberadaan missing value\n", "df.isna().sum()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "8hH7efRcA7eF", "outputId": "dab3b528-a593-4dc9-f730-5931768149e8" }, "outputs": [ { "data": { "text/plain": [ "Work 0\n", "Marital_Status 0\n", "Hours_Week 0\n", "Country 0\n", "Above_Below_50K 0\n", "Education 0\n", "Gender 0\n", "Occupation 0\n", "CustomerID 0\n", "Age 0\n", "months_as_customer 0\n", "policy_deductable 0\n", "policy_annual_premium 0\n", "insured_zip 0\n", "insured_hobbies 0\n", "insured_relationship 0\n", "capital_gains 0\n", "capital_loss 0\n", "incident_type 0\n", "collision_type 0\n", "incident_severity 0\n", "authorities_contacted 819\n", "incident_city 0\n", "incident_location 0\n", "incident_hour_of_the_day 0\n", "number_of_vehicles_involved 0\n", "property_damage 0\n", "bodily_injuries 0\n", "witnesses 0\n", "police_report_available 0\n", "total_claim_amount 0\n", "injury_claim 0\n", "property_claim 0\n", "vehicle_claim 0\n", "auto_make 0\n", "auto_year 0\n", "fraud_reported 0\n", "dtype: int64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Memeriksa keberadaan missing value\n", "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "4Q1ahZjQuhZe", "outputId": "b232686c-f4d6-4c3e-d5c6-c25cdd5187ca" }, "outputs": [ { "data": { "text/plain": [ "Work 9\n", "Marital_Status 7\n", "Hours_Week 81\n", "Country 41\n", "Above_Below_50K 2\n", "Education 16\n", "Gender 2\n", "Occupation 15\n", "CustomerID 5898\n", "Age 71\n", "months_as_customer 391\n", "policy_deductable 3\n", "policy_annual_premium 991\n", "insured_zip 995\n", "insured_hobbies 20\n", "insured_relationship 6\n", "capital_gains 338\n", "capital_loss 354\n", "incident_type 4\n", "collision_type 4\n", "incident_severity 4\n", "authorities_contacted 4\n", "incident_city 7\n", "incident_location 1000\n", "incident_hour_of_the_day 24\n", "number_of_vehicles_involved 4\n", "property_damage 3\n", "bodily_injuries 3\n", "witnesses 4\n", "police_report_available 3\n", "total_claim_amount 763\n", "injury_claim 638\n", "property_claim 626\n", "vehicle_claim 726\n", "auto_make 14\n", "auto_year 21\n", "fraud_reported 2\n", "dtype: int64" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Menghitung nilai unik dari setiap kolom\n", "df.nunique()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "B3a5XkHYulqk", "outputId": "a099c1de-7c17-4510-ae32-2b30ef8dbca2" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Hours_WeekCustomerIDAgemonths_as_customerpolicy_deductablepolicy_annual_premiuminsured_zipcapital_gainscapital_lossincident_hour_of_the_daynumber_of_vehicles_involvedbodily_injurieswitnessestotal_claim_amountinjury_claimproperty_claimvehicle_claimauto_year
count9000.0000009000.0000009000.0000009000.0000009000.0000009000.000009000.0000009000.0000009000.0000009000.0000009000.0000009000.0000009000.0000009000.0000009000.0000009000.0000009000.0000009000.000000
mean40.5496675035.18011138.443778203.9540001136.0000001256.40615501214.48800025126.100000-26793.70000011.6440001.8390000.9920001.48700052761.9400007433.4200007399.57000037928.9500002005.103000
std12.3203342892.17702413.579920115.061996611.592643244.0588471669.73293127859.79593828091.6018116.9482821.0184270.8197631.11084126389.7952624878.7818184822.58114118877.8562046.013186
min1.0000001.00000017.0000000.000000500.000000433.33000430104.0000000.000000-111100.0000000.0000001.0000000.0000000.000000100.0000000.0000000.00000070.0000001995.000000
25%40.0000002530.00000028.000000115.750000500.0000001089.60750448404.5000000.000000-51500.0000006.0000001.0000000.0000001.00000041812.5000004295.0000004445.00000030292.5000002000.000000
50%40.0000005037.50000037.000000199.5000001000.0000001257.20000466445.5000000.000000-23250.00000012.0000001.0000001.0000001.00000058055.0000006775.0000006750.00000042100.0000002005.000000
75%45.0000007562.00000047.000000276.2500002000.0000001415.69500603251.00000051025.0000000.00000017.0000003.0000002.0000002.00000070592.50000011305.00000010885.00000050822.5000002010.000000
max99.0000009998.00000090.000000479.0000002000.0000002047.59000620962.000000100500.0000000.00000023.0000004.0000002.0000003.000000114920.00000021450.00000023670.00000079560.0000002015.000000
\n", "
" ], "text/plain": [ " Hours_Week CustomerID Age months_as_customer \\\n", "count 9000.000000 9000.000000 9000.000000 9000.000000 \n", "mean 40.549667 5035.180111 38.443778 203.954000 \n", "std 12.320334 2892.177024 13.579920 115.061996 \n", "min 1.000000 1.000000 17.000000 0.000000 \n", "25% 40.000000 2530.000000 28.000000 115.750000 \n", "50% 40.000000 5037.500000 37.000000 199.500000 \n", "75% 45.000000 7562.000000 47.000000 276.250000 \n", "max 99.000000 9998.000000 90.000000 479.000000 \n", "\n", " policy_deductable policy_annual_premium insured_zip capital_gains \\\n", "count 9000.000000 9000.00000 9000.000000 9000.000000 \n", "mean 1136.000000 1256.40615 501214.488000 25126.100000 \n", "std 611.592643 244.05884 71669.732931 27859.795938 \n", "min 500.000000 433.33000 430104.000000 0.000000 \n", "25% 500.000000 1089.60750 448404.500000 0.000000 \n", "50% 1000.000000 1257.20000 466445.500000 0.000000 \n", "75% 2000.000000 1415.69500 603251.000000 51025.000000 \n", "max 2000.000000 2047.59000 620962.000000 100500.000000 \n", "\n", " capital_loss incident_hour_of_the_day number_of_vehicles_involved \\\n", "count 9000.000000 9000.000000 9000.000000 \n", "mean -26793.700000 11.644000 1.839000 \n", "std 28091.601811 6.948282 1.018427 \n", "min -111100.000000 0.000000 1.000000 \n", "25% -51500.000000 6.000000 1.000000 \n", "50% -23250.000000 12.000000 1.000000 \n", "75% 0.000000 17.000000 3.000000 \n", "max 0.000000 23.000000 4.000000 \n", "\n", " bodily_injuries witnesses total_claim_amount injury_claim \\\n", "count 9000.000000 9000.000000 9000.000000 9000.000000 \n", "mean 0.992000 1.487000 52761.940000 7433.420000 \n", "std 0.819763 1.110841 26389.795262 4878.781818 \n", "min 0.000000 0.000000 100.000000 0.000000 \n", "25% 0.000000 1.000000 41812.500000 4295.000000 \n", "50% 1.000000 1.000000 58055.000000 6775.000000 \n", "75% 2.000000 2.000000 70592.500000 11305.000000 \n", "max 2.000000 3.000000 114920.000000 21450.000000 \n", "\n", " property_claim vehicle_claim auto_year \n", "count 9000.000000 9000.000000 9000.000000 \n", "mean 7399.570000 37928.950000 2005.103000 \n", "std 4822.581141 18877.856204 6.013186 \n", "min 0.000000 70.000000 1995.000000 \n", "25% 4445.000000 30292.500000 2000.000000 \n", "50% 6750.000000 42100.000000 2005.000000 \n", "75% 10885.000000 50822.500000 2010.000000 \n", "max 23670.000000 79560.000000 2015.000000 " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Statistika Deskriptif\n", "df.describe()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "id": "tDDCZGwsGYGC" }, "outputs": [], "source": [ "sns.set(style='whitegrid')" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "id": "6rCAyAjgGZsF" }, "outputs": [], "source": [ "cat_features = ['Work','Marital_Status','Country','Above_Below_50K','Education','Gender','Occupation',\n", " 'insured_hobbies','insured_relationship','incident_type','collision_type',\n", " 'incident_severity','authorities_contacted','incident_city','incident_location',\n", " 'property_damage', 'police_report_available','auto_make']" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "id": "JOiNCnYDGlzI" }, "outputs": [], "source": [ "num_features = ['Hours_Week','CustomerID','Age','months_as_customer','policy_deductable',\n", " 'policy_annual_premium','insured_zip','capital_gains','capital_loss',\n", " 'incident_hour_of_the_day','number_of_vehicles_involved','bodily_injuries',\n", " 'witnesses','total_claim_amount','injury_claim','property_claim',\n", " 'vehicle_claim','auto_year']" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ghHrqTCLGqpV", "outputId": "42e8dcb5-571c-42b7-8053-f4eb41b00639" }, "outputs": [ { "data": { "text/plain": [ "(18, 18)" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(cat_features), len(num_features)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ckP59J7eGsWQ", "outputId": "9eda33ab-f1c4-43f4-8c1d-580b84aa108a" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(5, 4, figsize=(40,60), constrained_layout=True)\n", "for i in range(5):\n", " for j in range(4):\n", " if 4*i + j < len(cat_features):\n", " df[cat_features[4*i + j]].value_counts().sort_index().plot.bar(ax=ax[i, j])\n", " ax[i, j].tick_params('x', rotation=45)\n", " ax[i, j].tick_params(labelsize=16)\n", " ax[i, j].set_title(cat_features[4*i + j], size=30)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "xK0kk834FBpY", "outputId": "b5d753d9-8e5c-480c-c4ed-d7d93b53dc1d" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(6, 3, figsize=(10,20), constrained_layout=True)\n", "for i in range(6):\n", " for j in range(3):\n", " if 2*i + j < len(num_features):\n", " df[num_features[3*i + j]].hist(bins=20, ax=ax[i, j])\n", " ax[i, j].tick_params('x', rotation=45)\n", " ax[i, j].set_title(num_features[3*i + j],size=10)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0Aj5keYksDs9", "outputId": "a0a52a12-803a-445a-d662-c1b9fcccc6e6" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/y0/rgr2l6md3fn37h8vzc_vdb2h0000gn/T/ipykernel_18743/4158334210.py:8: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n", " ax.set_xticklabels(ax.get_xticklabels(), rotation=0, ha=\"right\");\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize =(7,5))\n", "ax = sns.countplot(data = df, x = 'fraud_reported')\n", "plt.xticks(size = 12)\n", "plt.xlabel('fraud_reported', size = 14)\n", "plt.yticks(size = 12)\n", "plt.ylabel('Count', size = 12)\n", "plt.title(\"Composition of Reported Fraud Data\", size = 16)\n", "ax.set_xticklabels(ax.get_xticklabels(), rotation=0, ha=\"right\");\n", "\n", "total = len(df)\n", "for p in ax.patches:\n", " percentage = '{:.1f}%'.format(100 * p.get_height()/total)\n", " x = p.get_x() + p.get_width()/2\n", " y = p.get_height()\n", " ax.annotate(percentage, (x, y), ha='center')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "-gyIwD9xz8dJ" }, "source": [ "# Pre-Pipeline" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "zJR2oq-CzfO9", "outputId": "9c530160-354c-42f5-ef54-7210e40ed4a5" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
WorkMarital_StatusHours_WeekCountryAbove_Below_50KEducationGenderOccupationCustomerIDAge...bodily_injurieswitnessespolice_report_availabletotal_claim_amountinjury_claimproperty_claimvehicle_claimauto_makeauto_yearfraud_reported
0Self-emp-not-incMarried-civ-spouse13United-States<=50KBachelorsMaleExec-managerial90250...12YES7161065101302052080Saab2004Y
1PrivateDivorced40United-States<=50KHS-gradMaleHandlers-cleaners550638...00NaN50707807803510Mercedes2007Y
2PrivateMarried-civ-spouse40United-States<=50K11thMaleHandlers-cleaners386953...23NO346507700385023100Dodge2007N
3PrivateMarried-civ-spouse40Cuba<=50KBachelorsFemaleProf-specialty710628...12NO634006340634050720Chevrolet2014Y
4PrivateMarried-civ-spouse40United-States<=50KMastersFemaleExec-managerial176037...01NO650013006504550Accura2009N
\n", "

5 rows × 37 columns

\n", "
" ], "text/plain": [ " Work Marital_Status Hours_Week Country \\\n", "0 Self-emp-not-inc Married-civ-spouse 13 United-States \n", "1 Private Divorced 40 United-States \n", "2 Private Married-civ-spouse 40 United-States \n", "3 Private Married-civ-spouse 40 Cuba \n", "4 Private Married-civ-spouse 40 United-States \n", "\n", " Above_Below_50K Education Gender Occupation CustomerID Age ... \\\n", "0 <=50K Bachelors Male Exec-managerial 902 50 ... \n", "1 <=50K HS-grad Male Handlers-cleaners 5506 38 ... \n", "2 <=50K 11th Male Handlers-cleaners 3869 53 ... \n", "3 <=50K Bachelors Female Prof-specialty 7106 28 ... \n", "4 <=50K Masters Female Exec-managerial 1760 37 ... \n", "\n", " bodily_injuries witnesses police_report_available total_claim_amount \\\n", "0 1 2 YES 71610 \n", "1 0 0 NaN 5070 \n", "2 2 3 NO 34650 \n", "3 1 2 NO 63400 \n", "4 0 1 NO 6500 \n", "\n", " injury_claim property_claim vehicle_claim auto_make auto_year \\\n", "0 6510 13020 52080 Saab 2004 \n", "1 780 780 3510 Mercedes 2007 \n", "2 7700 3850 23100 Dodge 2007 \n", "3 6340 6340 50720 Chevrolet 2014 \n", "4 1300 650 4550 Accura 2009 \n", "\n", " fraud_reported \n", "0 Y \n", "1 Y \n", "2 N \n", "3 Y \n", "4 N \n", "\n", "[5 rows x 37 columns]" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.dropna()\n", "\n", "# Membersihkan Missing Value\n", "df.replace({'?':'NaN'}, inplace=True)\n", "\n", "# Mengubah Nama Fitur\n", "df = df.rename(columns={'Above_Below_50K_<=50K': 'Below_50K', 'Above_Below_50K_>50K': 'Above_50K'})\n", "\n", "# Menampilkan Data\n", "df.head(5)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "id": "BKDrY5jJZY2i" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/y0/rgr2l6md3fn37h8vzc_vdb2h0000gn/T/ipykernel_18743/2647141367.py:2: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", " label = label_1.replace({'N': 0, 'Y': 1})\n" ] } ], "source": [ "label_1 = df['fraud_reported']\n", "label = label_1.replace({'N': 0, 'Y': 1})\n", "data = df.drop(['fraud_reported'], axis=1)\n", "feature_names = data.columns" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "id": "evwa3UNqEp4L" }, "outputs": [], "source": [ "x_train, x_test, y_train, y_test = train_test_split(data,label, train_size=0.8, random_state=1)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Zmss0d7ZbBPu", "outputId": "825ef497-2e2f-4a5b-8fac-090d15856497" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
WorkMarital_StatusHours_WeekCountryAbove_Below_50KEducationGenderOccupationCustomerIDAge...property_damagebodily_injurieswitnessespolice_report_availabletotal_claim_amountinjury_claimproperty_claimvehicle_claimauto_makeauto_year
7289PrivateMarried-civ-spouse40United-States<=50KBachelorsMaleSales470333...NO02NaN8760146014605840BMW2013
8192PrivateMarried-civ-spouse50United-States>50KBachelorsMaleProf-specialty261438...NO03NO5550055501110038850Mercedes2012
6247PrivateMarried-civ-spouse40United-States>50KBachelorsMaleCraft-repair789443...NaN01NaN98670151801518068310Chevrolet2010
8073Self-emp-incMarried-civ-spouse50United-States<=50KHS-gradMaleFarming-fishing922450...NO20YES571209520476042840Mercedes2002
7804Self-emp-incMarried-civ-spouse54United-States>50KSome-collegeMaleSales153754...YES23YES49509004503600Toyota1995
..................................................................
2895Local-govNever-married40Taiwan<=50KMastersMaleProf-specialty39929...NaN03NaN5520011040552038640Saab1998
7813PrivateDivorced40United-States<=50KSome-collegeMaleOther-service765559...NaN12NO35206403202560Accura2013
905PrivateDivorced52United-States<=50KSome-collegeMaleMachine-op-inspct948937...NO12NaN643006430643051440Chevrolet2002
5192Local-govDivorced40United-States<=50KSome-collegeFemaleAdm-clerical337943...NO03NO5550055501110038850Mercedes2012
235State-govNever-married38United-States<=50KSome-collegeFemaleAdm-clerical639940...NO10NaN7656012760638057420Nissan2009
\n", "

7200 rows × 36 columns

\n", "
" ], "text/plain": [ " Work Marital_Status Hours_Week Country \\\n", "7289 Private Married-civ-spouse 40 United-States \n", "8192 Private Married-civ-spouse 50 United-States \n", "6247 Private Married-civ-spouse 40 United-States \n", "8073 Self-emp-inc Married-civ-spouse 50 United-States \n", "7804 Self-emp-inc Married-civ-spouse 54 United-States \n", "... ... ... ... ... \n", "2895 Local-gov Never-married 40 Taiwan \n", "7813 Private Divorced 40 United-States \n", "905 Private Divorced 52 United-States \n", "5192 Local-gov Divorced 40 United-States \n", "235 State-gov Never-married 38 United-States \n", "\n", " Above_Below_50K Education Gender Occupation CustomerID \\\n", "7289 <=50K Bachelors Male Sales 4703 \n", "8192 >50K Bachelors Male Prof-specialty 2614 \n", "6247 >50K Bachelors Male Craft-repair 7894 \n", "8073 <=50K HS-grad Male Farming-fishing 9224 \n", "7804 >50K Some-college Male Sales 1537 \n", "... ... ... ... ... ... \n", "2895 <=50K Masters Male Prof-specialty 399 \n", "7813 <=50K Some-college Male Other-service 7655 \n", "905 <=50K Some-college Male Machine-op-inspct 9489 \n", "5192 <=50K Some-college Female Adm-clerical 3379 \n", "235 <=50K Some-college Female Adm-clerical 6399 \n", "\n", " Age ... property_damage bodily_injuries witnesses \\\n", "7289 33 ... NO 0 2 \n", "8192 38 ... NO 0 3 \n", "6247 43 ... NaN 0 1 \n", "8073 50 ... NO 2 0 \n", "7804 54 ... YES 2 3 \n", "... ... ... ... ... ... \n", "2895 29 ... NaN 0 3 \n", "7813 59 ... NaN 1 2 \n", "905 37 ... NO 1 2 \n", "5192 43 ... NO 0 3 \n", "235 40 ... NO 1 0 \n", "\n", " police_report_available total_claim_amount injury_claim property_claim \\\n", "7289 NaN 8760 1460 1460 \n", "8192 NO 55500 5550 11100 \n", "6247 NaN 98670 15180 15180 \n", "8073 YES 57120 9520 4760 \n", "7804 YES 4950 900 450 \n", "... ... ... ... ... \n", "2895 NaN 55200 11040 5520 \n", "7813 NO 3520 640 320 \n", "905 NaN 64300 6430 6430 \n", "5192 NO 55500 5550 11100 \n", "235 NaN 76560 12760 6380 \n", "\n", " vehicle_claim auto_make auto_year \n", "7289 5840 BMW 2013 \n", "8192 38850 Mercedes 2012 \n", "6247 68310 Chevrolet 2010 \n", "8073 42840 Mercedes 2002 \n", "7804 3600 Toyota 1995 \n", "... ... ... ... \n", "2895 38640 Saab 1998 \n", "7813 2560 Accura 2013 \n", "905 51440 Chevrolet 2002 \n", "5192 38850 Mercedes 2012 \n", "235 57420 Nissan 2009 \n", "\n", "[7200 rows x 36 columns]" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x_train" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "6VnpQk2SbCvB", "outputId": "8900c02b-c579-430b-fe00-57a885db5402" }, "outputs": [ { "data": { "text/plain": [ "7289 0\n", "8192 0\n", "6247 1\n", "8073 0\n", "7804 0\n", " ..\n", "2895 1\n", "7813 0\n", "905 1\n", "5192 0\n", "235 0\n", "Name: fraud_reported, Length: 7200, dtype: int64" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_train" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "id": "HsXMC0jkvexf" }, "outputs": [], "source": [ "# Define preprocessor for one-hot encoding and min-max scaling\n", "\n", "cat_col = ['Work','Marital_Status','Country','Above_Below_50K','Education','Gender','Occupation',\n", " 'insured_hobbies','insured_relationship','incident_type','collision_type',\n", " 'incident_severity','authorities_contacted','incident_city','incident_location',\n", " 'property_damage', 'police_report_available','auto_make']\n", "\n", "num_col = ['Hours_Week','CustomerID','Age','months_as_customer','policy_deductable',\n", " 'policy_annual_premium','insured_zip','capital_gains','capital_loss',\n", " 'incident_hour_of_the_day','number_of_vehicles_involved','bodily_injuries',\n", " 'witnesses','total_claim_amount','injury_claim','property_claim',\n", " 'vehicle_claim','auto_year']\n", "\n", "### Transformers for numerical data\n", "numerical_transformer = Pipeline(steps=[('Scaler', MinMaxScaler())])\n", "\n", "### Transformers for categorical data\n", "categorical_transformer = Pipeline(steps=[('Encoder', OneHotEncoder(handle_unknown='ignore'))])\n", "\n", "\n", "### Combine pipelines using ColumnTransformer\n", "preprocessing = ColumnTransformer(transformers=[('Numerical', numerical_transformer, num_col),\n", " ('Categorical', categorical_transformer, cat_col)],\n", " remainder='passthrough')" ] }, { "cell_type": "markdown", "metadata": { "id": "K3oLWkxYKF7J" }, "source": [ "# PIPELINE\n", "- Decision Tree\n", "- Random Forest\n", "- XGBoost\n", "- Approximating XGBoost" ] }, { "cell_type": "markdown", "metadata": { "id": "uVqtjcmtjm2U" }, "source": [ "## DECISION TREE" ] }, { "cell_type": "markdown", "metadata": { "id": "stcCnncWHwUF" }, "source": [ "### Model" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Hv-1VcHeuYiU", "outputId": "2fc665c2-f4a1-41bc-8c57-e57a29546245" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/adlir/Library/Python/3.9/lib/python/site-packages/numpy/ma/core.py:2846: RuntimeWarning: invalid value encountered in cast\n", " _data = np.array(data, dtype=dtype, copy=copy,\n" ] }, { "data": { "text/html": [ "
Pipeline(steps=[('preprocessing',\n",
              "                 ColumnTransformer(remainder='passthrough',\n",
              "                                   transformers=[('Numerical',\n",
              "                                                  Pipeline(steps=[('Scaler',\n",
              "                                                                   MinMaxScaler())]),\n",
              "                                                  ['Hours_Week', 'CustomerID',\n",
              "                                                   'Age', 'months_as_customer',\n",
              "                                                   'policy_deductable',\n",
              "                                                   'policy_annual_premium',\n",
              "                                                   'insured_zip',\n",
              "                                                   'capital_gains',\n",
              "                                                   'capital_loss',\n",
              "                                                   'incident_hour_of_the_day',\n",
              "                                                   'number_of_vehicles_involved',\n",
              "                                                   'bod...\n",
              "                                                   'police_report_available',\n",
              "                                                   'auto_make'])])),\n",
              "                ('oversampling', SMOTE(random_state=1)),\n",
              "                ('grid_search',\n",
              "                 GridSearchCV(cv=5,\n",
              "                              estimator=DecisionTreeClassifier(criterion='entropy'),\n",
              "                              param_grid={'max_depth': array([5, 6, 7, 8, 9]),\n",
              "                                          'min_samples_leaf': (50, 100, 150,\n",
              "                                                               200, 250, 300,\n",
              "                                                               350, 400, 450,\n",
              "                                                               500),\n",
              "                                          'min_samples_split': (50, 100, 150,\n",
              "                                                                200, 250, 300,\n",
              "                                                                350, 400, 450,\n",
              "                                                                500)},\n",
              "                              scoring='roc_auc'))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "Pipeline(steps=[('preprocessing',\n", " ColumnTransformer(remainder='passthrough',\n", " transformers=[('Numerical',\n", " Pipeline(steps=[('Scaler',\n", " MinMaxScaler())]),\n", " ['Hours_Week', 'CustomerID',\n", " 'Age', 'months_as_customer',\n", " 'policy_deductable',\n", " 'policy_annual_premium',\n", " 'insured_zip',\n", " 'capital_gains',\n", " 'capital_loss',\n", " 'incident_hour_of_the_day',\n", " 'number_of_vehicles_involved',\n", " 'bod...\n", " 'police_report_available',\n", " 'auto_make'])])),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search',\n", " GridSearchCV(cv=5,\n", " estimator=DecisionTreeClassifier(criterion='entropy'),\n", " param_grid={'max_depth': array([5, 6, 7, 8, 9]),\n", " 'min_samples_leaf': (50, 100, 150,\n", " 200, 250, 300,\n", " 350, 400, 450,\n", " 500),\n", " 'min_samples_split': (50, 100, 150,\n", " 200, 250, 300,\n", " 350, 400, 450,\n", " 500)},\n", " scoring='roc_auc'))])" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "param_dt = {'max_depth': np.arange(5, 10),\n", " 'min_samples_leaf': (50, 100, 150, 200, 250, 300, 350, 400, 450, 500),\n", " 'min_samples_split': (50, 100, 150, 200, 250, 300, 350, 400, 450, 500)}\n", "\n", "# Create pipelines with SMOTE for each model (nested GridSearchCV)\n", "dt_grid = GridSearchCV(DecisionTreeClassifier(criterion='entropy'), param_grid=param_dt, scoring='roc_auc', cv=5)\n", "\n", "dt_pipeline = ImbPipeline([\n", " ('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search', dt_grid)\n", "])\n", "\n", "dt_pipeline.fit(x_train, y_train)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Cx7YgZV9kRpZ", "outputId": "573a020d-0f0d-49b1-9777-00b25b7467a7" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best hyperparameters: {'max_depth': np.int64(9), 'min_samples_leaf': 50, 'min_samples_split': 100}\n" ] } ], "source": [ "# Mengakses hyperparameter terbaik dari GridSearchCV\n", "best_params = dt_pipeline.named_steps['grid_search'].best_params_\n", "print(\"Best hyperparameters:\", best_params)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "fF_yEVPFpDNQ", "outputId": "015fb2e6-0e3e-4d56-b415-219161448a1f" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
mean_fit_timestd_fit_timemean_score_timestd_score_timeparam_max_depthparam_min_samples_leafparam_min_samples_splitparamssplit0_test_scoresplit1_test_scoresplit2_test_scoresplit3_test_scoresplit4_test_scoremean_test_scorestd_test_scorerank_test_score
4010.1086430.0014090.0023940.000312950100{'max_depth': 9, 'min_samples_leaf': 50, 'min_...0.9501680.9645840.9752950.9750590.9766250.9683460.0100651
4000.1086500.0015310.0023570.00032895050{'max_depth': 9, 'min_samples_leaf': 50, 'min_...0.9501680.9645840.9745410.9751540.9766170.9682130.0099762
3010.1033100.0016470.0023470.000332850100{'max_depth': 8, 'min_samples_leaf': 50, 'min_...0.9428010.9587760.9674660.9701490.9636910.9605770.0096753
3000.1030670.0015710.0024170.00036485050{'max_depth': 8, 'min_samples_leaf': 50, 'min_...0.9428010.9587760.9668390.9702140.9636910.9604640.0096024
4020.1050370.0015820.0024030.000283950150{'max_depth': 9, 'min_samples_leaf': 50, 'min_...0.9420880.9524160.9714740.9663280.9664260.9597470.0108725
...................................................
940.0609260.0037920.0027330.0002235500250{'max_depth': 5, 'min_samples_leaf': 500, 'min...0.8704020.8882870.8880260.8793160.8959160.8843890.008748491
920.0598990.0021940.0023350.0002975500150{'max_depth': 5, 'min_samples_leaf': 500, 'min...0.8704020.8882870.8880260.8793160.8959160.8843890.008748491
910.0597150.0020360.0024870.0003675500100{'max_depth': 5, 'min_samples_leaf': 500, 'min...0.8704020.8882870.8880260.8793160.8959160.8843890.008748491
990.0614180.0024350.0024730.0003305500500{'max_depth': 5, 'min_samples_leaf': 500, 'min...0.8704020.8882870.8880260.8793160.8959160.8843890.008748491
930.0592800.0023360.0023790.0003375500200{'max_depth': 5, 'min_samples_leaf': 500, 'min...0.8704020.8882870.8880260.8793160.8959160.8843890.008748491
\n", "

500 rows × 16 columns

\n", "
" ], "text/plain": [ " mean_fit_time std_fit_time mean_score_time std_score_time \\\n", "401 0.108643 0.001409 0.002394 0.000312 \n", "400 0.108650 0.001531 0.002357 0.000328 \n", "301 0.103310 0.001647 0.002347 0.000332 \n", "300 0.103067 0.001571 0.002417 0.000364 \n", "402 0.105037 0.001582 0.002403 0.000283 \n", ".. ... ... ... ... \n", "94 0.060926 0.003792 0.002733 0.000223 \n", "92 0.059899 0.002194 0.002335 0.000297 \n", "91 0.059715 0.002036 0.002487 0.000367 \n", "99 0.061418 0.002435 0.002473 0.000330 \n", "93 0.059280 0.002336 0.002379 0.000337 \n", "\n", " param_max_depth param_min_samples_leaf param_min_samples_split \\\n", "401 9 50 100 \n", "400 9 50 50 \n", "301 8 50 100 \n", "300 8 50 50 \n", "402 9 50 150 \n", ".. ... ... ... \n", "94 5 500 250 \n", "92 5 500 150 \n", "91 5 500 100 \n", "99 5 500 500 \n", "93 5 500 200 \n", "\n", " params split0_test_score \\\n", "401 {'max_depth': 9, 'min_samples_leaf': 50, 'min_... 0.950168 \n", "400 {'max_depth': 9, 'min_samples_leaf': 50, 'min_... 0.950168 \n", "301 {'max_depth': 8, 'min_samples_leaf': 50, 'min_... 0.942801 \n", "300 {'max_depth': 8, 'min_samples_leaf': 50, 'min_... 0.942801 \n", "402 {'max_depth': 9, 'min_samples_leaf': 50, 'min_... 0.942088 \n", ".. ... ... \n", "94 {'max_depth': 5, 'min_samples_leaf': 500, 'min... 0.870402 \n", "92 {'max_depth': 5, 'min_samples_leaf': 500, 'min... 0.870402 \n", "91 {'max_depth': 5, 'min_samples_leaf': 500, 'min... 0.870402 \n", "99 {'max_depth': 5, 'min_samples_leaf': 500, 'min... 0.870402 \n", "93 {'max_depth': 5, 'min_samples_leaf': 500, 'min... 0.870402 \n", "\n", " split1_test_score split2_test_score split3_test_score \\\n", "401 0.964584 0.975295 0.975059 \n", "400 0.964584 0.974541 0.975154 \n", "301 0.958776 0.967466 0.970149 \n", "300 0.958776 0.966839 0.970214 \n", "402 0.952416 0.971474 0.966328 \n", ".. ... ... ... \n", "94 0.888287 0.888026 0.879316 \n", "92 0.888287 0.888026 0.879316 \n", "91 0.888287 0.888026 0.879316 \n", "99 0.888287 0.888026 0.879316 \n", "93 0.888287 0.888026 0.879316 \n", "\n", " split4_test_score mean_test_score std_test_score rank_test_score \n", "401 0.976625 0.968346 0.010065 1 \n", "400 0.976617 0.968213 0.009976 2 \n", "301 0.963691 0.960577 0.009675 3 \n", "300 0.963691 0.960464 0.009602 4 \n", "402 0.966426 0.959747 0.010872 5 \n", ".. ... ... ... ... \n", "94 0.895916 0.884389 0.008748 491 \n", "92 0.895916 0.884389 0.008748 491 \n", "91 0.895916 0.884389 0.008748 491 \n", "99 0.895916 0.884389 0.008748 491 \n", "93 0.895916 0.884389 0.008748 491 \n", "\n", "[500 rows x 16 columns]" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.DataFrame(dt_pipeline.named_steps['grid_search'].cv_results_).sort_values(\"rank_test_score\", ascending=True)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "l-GiTDLhLzaN", "outputId": "e6ab43f8-4034-4856-eba7-964457e8463a" }, "outputs": [ { "data": { "text/plain": [ "['model_dt9.h5']" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joblib.dump(dt_pipeline, 'model_dt9.h5')" ] }, { "cell_type": "markdown", "metadata": { "id": "ldBrOI4PHpJ5" }, "source": [ "### Statistical Performances" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "PLf9eMG1HpKG", "outputId": "8b178cb0-8f60-4936-dacf-67b00b15b469" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 0.98 0.90 0.94 1361\n", " 1 0.76 0.95 0.84 439\n", "\n", " accuracy 0.91 1800\n", " macro avg 0.87 0.92 0.89 1800\n", "weighted avg 0.93 0.91 0.92 1800\n", "\n" ] } ], "source": [ "train_dt = dt_pipeline.predict(x_test)\n", "print(classification_report(y_test, train_dt))" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 482 }, "id": "b4bpgeA7HpKG", "outputId": "da40bfbc-19a4-4800-898f-749b2af25ac9" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y_test, train_dt)\n", "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\")\n", "plt.suptitle(\"Confusion Matrix of Decision Tree Model\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "aCJYYsrnHpKH", "outputId": "4ba70026-be59-4aac-fd97-44395659f00c" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ROC AUC Score: 0.9804419904297892\n", "Specificity: 0.9022777369581191\n", "Sensitivity: 0.9453302961275627\n" ] } ], "source": [ "# Calculate ROC AUC\n", "probabilities = dt_pipeline.predict_proba(x_test)[:, 1]\n", "roc_auc = roc_auc_score(y_test, probabilities)\n", "\n", "tn, fp, fn, tp = cm.ravel()\n", "specificity = tn / (tn + fp)\n", "sensitivity = tp / (tp + fn)\n", "\n", "print(\"ROC AUC Score:\", roc_auc)\n", "print('Specificity:', specificity)\n", "print('Sensitivity:', sensitivity)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 458 }, "id": "-jkiKXcxHpKH", "outputId": "3cee59e5-3eaf-4504-e04b-4533dc05f12f" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RocCurveDisplay.from_predictions(y_test, probabilities, pos_label=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "id": "SKoar_hoNSJ5", "outputId": "eb00fc75-ce63-4f2e-8ff5-ba3696e655aa" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iteration1\n", "ROC_AUC = 0.9804419904297892\n", "Specificity = 0.9022777369581191\n", "Sensitivity = 0.9453302961275627\n", " \n", "iteration2\n", "ROC_AUC = 0.9804419904297892\n", "Specificity = 0.9022777369581191\n", "Sensitivity = 0.9453302961275627\n", " \n", "iteration3\n", "ROC_AUC = 0.9804419904297892\n", "Specificity = 0.9022777369581191\n", "Sensitivity = 0.9453302961275627\n", " \n", "iteration4\n", "ROC_AUC = 0.9804419904297892\n", "Specificity = 0.9022777369581191\n", "Sensitivity = 0.9453302961275627\n", " \n", "iteration5\n", "ROC_AUC = 0.9804419904297892\n", "Specificity = 0.9022777369581191\n", "Sensitivity = 0.9453302961275627\n", " \n" ] } ], "source": [ "model_dt = DecisionTreeClassifier(criterion='entropy',**dt_pipeline.named_steps['grid_search'].best_params_)\n", "\n", "dt_pipeline = ImbPipeline([('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('model', model_dt)])\n", "\n", "roc_auc = []\n", "specificity = []\n", "sensitivity = []\n", "\n", "for i in range(5):\n", " dt_pipeline.fit(x_train, y_train)\n", "\n", " train_dt = dt_pipeline.predict(x_test)\n", "\n", " # Calculate ROC AUC\n", " probabilities = dt_pipeline.predict_proba(x_test)[:, 1]\n", " roc_auc = roc_auc_score(y_test, probabilities)\n", "\n", " cm = confusion_matrix(y_test, train_dt)\n", " tn, fp, fn, tp = cm.ravel()\n", " specificity = tn / (tn + fp)\n", " sensitivity = tp / (tp + fn)\n", "\n", " print(f\"iteration{i+1}\")\n", " print(f\"ROC_AUC = {roc_auc}\")\n", " print(f\"Specificity = {specificity}\")\n", " print(f\"Sensitivity = {sensitivity}\")\n", " print(\" \")" ] }, { "cell_type": "markdown", "metadata": { "id": "XDdurxYpjrNW" }, "source": [ "## RANDOM FOREST" ] }, { "cell_type": "markdown", "metadata": { "id": "VUPZIAFtHycO" }, "source": [ "### Model" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 293 }, "id": "ZcvYvS9huLGv", "outputId": "d3c2a2c5-8692-43b9-f5e6-16eff371ce64" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/adlir/Library/Python/3.9/lib/python/site-packages/numpy/ma/core.py:2846: RuntimeWarning: invalid value encountered in cast\n", " _data = np.array(data, dtype=dtype, copy=copy,\n" ] }, { "data": { "text/html": [ "
Pipeline(steps=[('preprocessing',\n",
              "                 ColumnTransformer(remainder='passthrough',\n",
              "                                   transformers=[('Numerical',\n",
              "                                                  Pipeline(steps=[('Scaler',\n",
              "                                                                   MinMaxScaler())]),\n",
              "                                                  ['Hours_Week', 'CustomerID',\n",
              "                                                   'Age', 'months_as_customer',\n",
              "                                                   'policy_deductable',\n",
              "                                                   'policy_annual_premium',\n",
              "                                                   'insured_zip',\n",
              "                                                   'capital_gains',\n",
              "                                                   'capital_loss',\n",
              "                                                   'incident_hour_of_the_day',\n",
              "                                                   'number_of_vehicles_involved',\n",
              "                                                   'bod...\n",
              "                                                   'auto_make'])])),\n",
              "                ('oversampling', SMOTE(random_state=1)),\n",
              "                ('grid_search',\n",
              "                 GridSearchCV(cv=5,\n",
              "                              estimator=RandomForestClassifier(criterion='entropy',\n",
              "                                                               n_estimators=250,\n",
              "                                                               n_jobs=-1),\n",
              "                              param_grid={'max_depth': array([5, 6, 7, 8, 9]),\n",
              "                                          'min_samples_leaf': (50, 100, 150,\n",
              "                                                               200, 250, 300,\n",
              "                                                               350, 400, 450,\n",
              "                                                               500),\n",
              "                                          'min_samples_split': (50, 100, 150,\n",
              "                                                                200, 250, 300,\n",
              "                                                                350, 400, 450,\n",
              "                                                                500)},\n",
              "                              scoring='roc_auc'))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "Pipeline(steps=[('preprocessing',\n", " ColumnTransformer(remainder='passthrough',\n", " transformers=[('Numerical',\n", " Pipeline(steps=[('Scaler',\n", " MinMaxScaler())]),\n", " ['Hours_Week', 'CustomerID',\n", " 'Age', 'months_as_customer',\n", " 'policy_deductable',\n", " 'policy_annual_premium',\n", " 'insured_zip',\n", " 'capital_gains',\n", " 'capital_loss',\n", " 'incident_hour_of_the_day',\n", " 'number_of_vehicles_involved',\n", " 'bod...\n", " 'auto_make'])])),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search',\n", " GridSearchCV(cv=5,\n", " estimator=RandomForestClassifier(criterion='entropy',\n", " n_estimators=250,\n", " n_jobs=-1),\n", " param_grid={'max_depth': array([5, 6, 7, 8, 9]),\n", " 'min_samples_leaf': (50, 100, 150,\n", " 200, 250, 300,\n", " 350, 400, 450,\n", " 500),\n", " 'min_samples_split': (50, 100, 150,\n", " 200, 250, 300,\n", " 350, 400, 450,\n", " 500)},\n", " scoring='roc_auc'))])" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "param_rf = {'max_depth': np.arange(5, 10),\n", " 'min_samples_leaf': (50, 100, 150, 200, 250, 300, 350, 400, 450, 500),\n", " 'min_samples_split': (50, 100, 150, 200, 250, 300, 350, 400, 450, 500)}\n", "\n", "rf_grid = GridSearchCV(RandomForestClassifier(n_estimators=250,\n", " criterion='entropy',\n", " n_jobs=-1),\n", " param_grid=param_rf, scoring='roc_auc',cv=5)\n", "\n", "rf_pipeline = ImbPipeline([\n", " ('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search', rf_grid)\n", "])\n", "\n", "rf_pipeline.fit(x_train, y_train)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "id": "V1FQHHs_qYsE", "outputId": "2fbce4c1-89a7-44c3-b5e1-9306f0f14f6d" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best hyperparameters: {'max_depth': np.int64(9), 'min_samples_leaf': 50, 'min_samples_split': 100}\n" ] } ], "source": [ "# Mengakses hyperparameter terbaik dari GridSearchCV\n", "best_params = rf_pipeline.named_steps['grid_search'].best_params_\n", "print(\"Best hyperparameters:\", best_params)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "id": "EUjzpNfgO0gr", "outputId": "26e7e3c3-ee11-4a96-9835-35cc7f0bca35" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
mean_fit_timestd_fit_timemean_score_timestd_score_timeparam_max_depthparam_min_samples_leafparam_min_samples_splitparamssplit0_test_scoresplit1_test_scoresplit2_test_scoresplit3_test_scoresplit4_test_scoremean_test_scorestd_test_scorerank_test_score
4010.6780620.0973920.0541720.007294950100{'max_depth': 9, 'min_samples_leaf': 50, 'min_...0.8785430.9119930.9581650.9600100.9584570.9334340.0329141
4020.6374070.0168000.0617120.011133950150{'max_depth': 9, 'min_samples_leaf': 50, 'min_...0.8827030.9091400.9555590.9537260.9624450.9327150.0313182
4000.6428670.0734870.0732840.03140695050{'max_depth': 9, 'min_samples_leaf': 50, 'min_...0.8751550.9119560.9528070.9576210.9586510.9312380.0329543
4030.6309270.0248830.0582350.019889950200{'max_depth': 9, 'min_samples_leaf': 50, 'min_...0.8783670.9048900.9501650.9529240.9615900.9295870.0323294
3000.6581150.0550580.0705520.02001785050{'max_depth': 8, 'min_samples_leaf': 50, 'min_...0.8735620.9098070.9496760.9551640.9579820.9292380.0328445
...................................................
960.3134440.0186940.0342980.0070715500350{'max_depth': 5, 'min_samples_leaf': 500, 'min...0.7917280.8371280.8640310.8804110.8841910.8514980.034178496
4930.6061080.0483560.0633420.0139619500200{'max_depth': 9, 'min_samples_leaf': 500, 'min...0.7900670.8378790.8685190.8781270.8816140.8512410.034248497
3930.5766690.0688310.0639820.0121188500200{'max_depth': 8, 'min_samples_leaf': 500, 'min...0.7865440.8364430.8691320.8800200.8818000.8507880.036016498
920.3179500.0119650.0366930.0062005500150{'max_depth': 5, 'min_samples_leaf': 500, 'min...0.7782800.8412210.8695260.8781470.8864130.8507170.039288499
3910.5735530.0518750.0640950.0241198500100{'max_depth': 8, 'min_samples_leaf': 500, 'min...0.7905120.8352080.8645830.8756730.8792480.8490450.033107500
\n", "

500 rows × 16 columns

\n", "
" ], "text/plain": [ " mean_fit_time std_fit_time mean_score_time std_score_time \\\n", "401 0.678062 0.097392 0.054172 0.007294 \n", "402 0.637407 0.016800 0.061712 0.011133 \n", "400 0.642867 0.073487 0.073284 0.031406 \n", "403 0.630927 0.024883 0.058235 0.019889 \n", "300 0.658115 0.055058 0.070552 0.020017 \n", ".. ... ... ... ... \n", "96 0.313444 0.018694 0.034298 0.007071 \n", "493 0.606108 0.048356 0.063342 0.013961 \n", "393 0.576669 0.068831 0.063982 0.012118 \n", "92 0.317950 0.011965 0.036693 0.006200 \n", "391 0.573553 0.051875 0.064095 0.024119 \n", "\n", " param_max_depth param_min_samples_leaf param_min_samples_split \\\n", "401 9 50 100 \n", "402 9 50 150 \n", "400 9 50 50 \n", "403 9 50 200 \n", "300 8 50 50 \n", ".. ... ... ... \n", "96 5 500 350 \n", "493 9 500 200 \n", "393 8 500 200 \n", "92 5 500 150 \n", "391 8 500 100 \n", "\n", " params split0_test_score \\\n", "401 {'max_depth': 9, 'min_samples_leaf': 50, 'min_... 0.878543 \n", "402 {'max_depth': 9, 'min_samples_leaf': 50, 'min_... 0.882703 \n", "400 {'max_depth': 9, 'min_samples_leaf': 50, 'min_... 0.875155 \n", "403 {'max_depth': 9, 'min_samples_leaf': 50, 'min_... 0.878367 \n", "300 {'max_depth': 8, 'min_samples_leaf': 50, 'min_... 0.873562 \n", ".. ... ... \n", "96 {'max_depth': 5, 'min_samples_leaf': 500, 'min... 0.791728 \n", "493 {'max_depth': 9, 'min_samples_leaf': 500, 'min... 0.790067 \n", "393 {'max_depth': 8, 'min_samples_leaf': 500, 'min... 0.786544 \n", "92 {'max_depth': 5, 'min_samples_leaf': 500, 'min... 0.778280 \n", "391 {'max_depth': 8, 'min_samples_leaf': 500, 'min... 0.790512 \n", "\n", " split1_test_score split2_test_score split3_test_score \\\n", "401 0.911993 0.958165 0.960010 \n", "402 0.909140 0.955559 0.953726 \n", "400 0.911956 0.952807 0.957621 \n", "403 0.904890 0.950165 0.952924 \n", "300 0.909807 0.949676 0.955164 \n", ".. ... ... ... \n", "96 0.837128 0.864031 0.880411 \n", "493 0.837879 0.868519 0.878127 \n", "393 0.836443 0.869132 0.880020 \n", "92 0.841221 0.869526 0.878147 \n", "391 0.835208 0.864583 0.875673 \n", "\n", " split4_test_score mean_test_score std_test_score rank_test_score \n", "401 0.958457 0.933434 0.032914 1 \n", "402 0.962445 0.932715 0.031318 2 \n", "400 0.958651 0.931238 0.032954 3 \n", "403 0.961590 0.929587 0.032329 4 \n", "300 0.957982 0.929238 0.032844 5 \n", ".. ... ... ... ... \n", "96 0.884191 0.851498 0.034178 496 \n", "493 0.881614 0.851241 0.034248 497 \n", "393 0.881800 0.850788 0.036016 498 \n", "92 0.886413 0.850717 0.039288 499 \n", "391 0.879248 0.849045 0.033107 500 \n", "\n", "[500 rows x 16 columns]" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.DataFrame(rf_pipeline.named_steps['grid_search'].cv_results_).sort_values(\"rank_test_score\", ascending=True)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "id": "0gP3bYkRL45J", "outputId": "80bd6696-c2eb-4e16-b54e-cb85ca9a501d" }, "outputs": [ { "data": { "text/plain": [ "['model_rf9.h5']" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joblib.dump(rf_pipeline, 'model_rf9.h5')" ] }, { "cell_type": "markdown", "metadata": { "id": "khhuUSLDIFbi" }, "source": [ "### Statistical Performances" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "id": "N9pNTa-sIFb0", "outputId": "9bc842f4-e03b-46da-e83f-ba8efdbbc1c7" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 0.90 0.87 0.89 1361\n", " 1 0.65 0.71 0.68 439\n", "\n", " accuracy 0.83 1800\n", " macro avg 0.77 0.79 0.78 1800\n", "weighted avg 0.84 0.83 0.84 1800\n", "\n" ] } ], "source": [ "train_rf = rf_pipeline.predict(x_test)\n", "print(classification_report(y_test, train_rf))" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "id": "Rcjl0e1FIFb0", "outputId": "f6962107-371a-4336-d531-2f6d85a0a374" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y_test, train_rf)\n", "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\")\n", "plt.suptitle(\"Confusion Matrix of Random Forest Model\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "id": "qY_0EnzMIFb1", "outputId": "49f66899-1900-4220-c93b-6870a56db8ce" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ROC AUC Score: 0.88364444608095\n", "Specificity: 0.8736223365172667\n", "Sensitivity: 0.7129840546697038\n" ] } ], "source": [ "# Menghitung F1-Score untuk label positif\n", "f1 = f1_score(y_test, train_rf, pos_label=1)\n", "\n", "# Calculate ROC AUC\n", "probabilities = rf_pipeline.predict_proba(x_test)[:, 1]\n", "roc_auc = roc_auc_score(y_test, probabilities)\n", "\n", "tn, fp, fn, tp = cm.ravel()\n", "specificity = tn / (tn + fp)\n", "sensitivity = tp / (tp + fn)\n", "\n", "print(\"ROC AUC Score:\", roc_auc)\n", "print('Specificity:', specificity)\n", "print('Sensitivity:', sensitivity)" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "id": "WZsPGg6TIFb1", "outputId": "29c3b3c8-1d54-430b-e086-f6d0e19cd62b" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RocCurveDisplay.from_predictions(y_test, probabilities, pos_label=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "id": "j0MCaE1lNSJ9", "outputId": "1889f267-b2ec-43e5-a2bc-8f9a5f052a93" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iteration1\n", "ROC_AUC = 0.8810920551182552\n", "Specificity = 0.8758265980896399\n", "Sensitivity = 0.7312072892938497\n", " \n", "iteration2\n", "ROC_AUC = 0.8793447133706791\n", "Specificity = 0.8750918442321822\n", "Sensitivity = 0.7061503416856492\n", " \n", "iteration3\n", "ROC_AUC = 0.8806652618753129\n", "Specificity = 0.8706833210874357\n", "Sensitivity = 0.7357630979498861\n", " \n", "iteration4\n", "ROC_AUC = 0.8811891296597871\n", "Specificity = 0.8706833210874357\n", "Sensitivity = 0.7175398633257403\n", " \n", "iteration5\n", "ROC_AUC = 0.8771605361862091\n", "Specificity = 0.8758265980896399\n", "Sensitivity = 0.6947608200455581\n", " \n" ] } ], "source": [ "model_rf = RandomForestClassifier(n_estimators=250, criterion='entropy',**rf_pipeline.named_steps['grid_search'].best_params_)\n", "\n", "rf_pipeline = ImbPipeline([('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('model', model_rf)])\n", "\n", "roc_auc = []\n", "specificity = []\n", "sensitivity = []\n", "\n", "for i in range(5):\n", " rf_pipeline.fit(x_train, y_train)\n", "\n", " train_rf = rf_pipeline.predict(x_test)\n", "\n", " # Calculate ROC AUC\n", " probabilities = rf_pipeline.predict_proba(x_test)[:, 1]\n", " roc_auc = roc_auc_score(y_test, probabilities)\n", "\n", " cm = confusion_matrix(y_test, train_rf)\n", " tn, fp, fn, tp = cm.ravel()\n", " specificity = tn / (tn + fp)\n", " sensitivity = tp / (tp + fn)\n", "\n", " print(f\"iteration{i+1}\")\n", " print(f\"ROC_AUC = {roc_auc}\")\n", " print(f\"Specificity = {specificity}\")\n", " print(f\"Sensitivity = {sensitivity}\")\n", " print(\" \")" ] }, { "cell_type": "markdown", "metadata": { "id": "Q3nVpVUVqll4" }, "source": [ "## XGBOOST" ] }, { "cell_type": "markdown", "metadata": { "id": "dUQGYZPNIecC" }, "source": [ "### Model" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "id": "jPSmh0vsHQHX" }, "outputs": [], "source": [ "param_xgb_main = {'max_depth': np.arange(5, 10),\n", " 'eta': [0.01, 0.05, 0.1, 0.15, 0.2],\n", " 'subsample': [0.5, 0.6, 0.7, 0.8, 0.9],\n", " 'n_estimators': [100, 200, 300, 400, 500],\n", " 'lambda': np.arange(0, 10),\n", " 'gamma': np.arange(0, 10),\n", " 'colsample_bytree':np.arange(0.5, 1),\n", " 'min_child_weight':np.arange(4, 10)}" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 321 }, "id": "42WyYX51qll8", "outputId": "af21335e-aca8-4887-9dcc-a126b602da5b" }, "outputs": [ { "data": { "text/html": [ "
Pipeline(steps=[('preprocessing',\n",
              "                 ColumnTransformer(remainder='passthrough',\n",
              "                                   transformers=[('Numerical',\n",
              "                                                  Pipeline(steps=[('Scaler',\n",
              "                                                                   MinMaxScaler())]),\n",
              "                                                  ['Hours_Week', 'CustomerID',\n",
              "                                                   'Age', 'months_as_customer',\n",
              "                                                   'policy_deductable',\n",
              "                                                   'policy_annual_premium',\n",
              "                                                   'insured_zip',\n",
              "                                                   'capital_gains',\n",
              "                                                   'capital_loss',\n",
              "                                                   'incident_hour_of_the_day',\n",
              "                                                   'number_of_vehicles_involved',\n",
              "                                                   'bod...\n",
              "                                                      max_leaves=None,\n",
              "                                                      min_child_weight=None,\n",
              "                                                      missing=nan,\n",
              "                                                      monotone_constraints=None,\n",
              "                                                      multi_strategy=None,\n",
              "                                                      n_estimators=250,\n",
              "                                                      n_jobs=None,\n",
              "                                                      num_parallel_tree=None,\n",
              "                                                      random_state=None, ...),\n",
              "                              n_jobs=-1,\n",
              "                              param_grid={'eta': [0.01, 0.05, 0.1, 0.15, 0.2],\n",
              "                                          'gamma': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),\n",
              "                                          'lambda': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),\n",
              "                                          'max_depth': array([5, 6, 7, 8, 9])},\n",
              "                              scoring='roc_auc'))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "Pipeline(steps=[('preprocessing',\n", " ColumnTransformer(remainder='passthrough',\n", " transformers=[('Numerical',\n", " Pipeline(steps=[('Scaler',\n", " MinMaxScaler())]),\n", " ['Hours_Week', 'CustomerID',\n", " 'Age', 'months_as_customer',\n", " 'policy_deductable',\n", " 'policy_annual_premium',\n", " 'insured_zip',\n", " 'capital_gains',\n", " 'capital_loss',\n", " 'incident_hour_of_the_day',\n", " 'number_of_vehicles_involved',\n", " 'bod...\n", " max_leaves=None,\n", " min_child_weight=None,\n", " missing=nan,\n", " monotone_constraints=None,\n", " multi_strategy=None,\n", " n_estimators=250,\n", " n_jobs=None,\n", " num_parallel_tree=None,\n", " random_state=None, ...),\n", " n_jobs=-1,\n", " param_grid={'eta': [0.01, 0.05, 0.1, 0.15, 0.2],\n", " 'gamma': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),\n", " 'lambda': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),\n", " 'max_depth': array([5, 6, 7, 8, 9])},\n", " scoring='roc_auc'))])" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "param_xgb = {'max_depth': np.arange(5, 10),\n", " 'eta': [0.01, 0.05, 0.10, 0.15, 0.20],\n", " 'gamma': np.arange(0, 10),\n", " 'lambda': np.arange(0, 10)}\n", "\n", "xgb_grid = GridSearchCV(XGBClassifier(n_estimators=250,\n", " subsample=0.8,\n", " objective='binary:logistic',\n", " eval_metric='logloss'),\n", " param_grid=param_xgb, cv=5, scoring ='roc_auc', n_jobs=-1)\n", "\n", "xgb_pipeline = ImbPipeline([('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search', xgb_grid)])\n", "\n", "xgb_pipeline.fit(x_train, y_train)" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "id": "y5Tv359zqll9", "outputId": "de6f9b03-7755-4a5e-e126-15b7fabb2574" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best hyperparameters: {'eta': 0.05, 'gamma': np.int64(0), 'lambda': np.int64(0), 'max_depth': np.int64(8)}\n" ] } ], "source": [ "# Mengakses hyperparameter terbaik dari GridSearchCV\n", "best_params = xgb_pipeline.named_steps['grid_search'].best_params_\n", "print(\"Best hyperparameters:\", best_params)" ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "id": "yWFd9iWzzcsS", "outputId": "55d4d85e-d100-437b-8cd3-1c285e9b828d" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
mean_fit_timestd_fit_timemean_score_timestd_score_timeparam_etaparam_gammaparam_lambdaparam_max_depthparamssplit0_test_scoresplit1_test_scoresplit2_test_scoresplit3_test_scoresplit4_test_scoremean_test_scorestd_test_scorerank_test_score
10138.8486340.1090710.1880400.0198200.10028{'eta': 0.1, 'gamma': 0, 'lambda': 2, 'max_dep...1.0000001.0000001.0000001.0000001.0000001.0000000.000000e+001
20226.5506740.0487760.1862520.0166050.20047{'eta': 0.2, 'gamma': 0, 'lambda': 4, 'max_dep...1.0000001.0000001.0000001.0000001.0000001.0000000.000000e+001
20215.9568810.0947550.1454390.0122440.20046{'eta': 0.2, 'gamma': 0, 'lambda': 4, 'max_dep...1.0000001.0000001.0000001.0000001.0000001.0000004.965068e-171
20205.0491840.0811180.1378800.0312710.20045{'eta': 0.2, 'gamma': 0, 'lambda': 4, 'max_dep...1.0000001.0000001.0000001.0000001.0000001.0000004.965068e-171
20196.8183870.1157820.1525430.0172920.20039{'eta': 0.2, 'gamma': 0, 'lambda': 3, 'max_dep...1.0000001.0000001.0000001.0000001.0000001.0000000.000000e+001
......................................................
4855.8179350.0546590.0968040.0281380.01975{'eta': 0.01, 'gamma': 9, 'lambda': 7, 'max_de...0.9019170.9314420.9941410.9950640.9941710.9633473.923241e-022496
2355.6142430.1811600.0737830.0180590.01475{'eta': 0.01, 'gamma': 4, 'lambda': 7, 'max_de...0.9019200.9314350.9939380.9950890.9943420.9633453.923190e-022497
4955.7848460.0884490.1064600.0167670.01995{'eta': 0.01, 'gamma': 9, 'lambda': 9, 'max_de...0.9035160.9311710.9935940.9946980.9937110.9633383.856109e-022498
2855.6897750.1404140.0941000.0275680.01575{'eta': 0.01, 'gamma': 5, 'lambda': 7, 'max_de...0.9018890.9314370.9939400.9950810.9943400.9633383.923991e-022499
4905.8201130.0957030.0933500.0122290.01985{'eta': 0.01, 'gamma': 9, 'lambda': 8, 'max_de...0.9008250.9310490.9937380.9948540.9939120.9628753.950075e-022500
\n", "

2500 rows × 17 columns

\n", "
" ], "text/plain": [ " mean_fit_time std_fit_time mean_score_time std_score_time param_eta \\\n", "1013 8.848634 0.109071 0.188040 0.019820 0.10 \n", "2022 6.550674 0.048776 0.186252 0.016605 0.20 \n", "2021 5.956881 0.094755 0.145439 0.012244 0.20 \n", "2020 5.049184 0.081118 0.137880 0.031271 0.20 \n", "2019 6.818387 0.115782 0.152543 0.017292 0.20 \n", "... ... ... ... ... ... \n", "485 5.817935 0.054659 0.096804 0.028138 0.01 \n", "235 5.614243 0.181160 0.073783 0.018059 0.01 \n", "495 5.784846 0.088449 0.106460 0.016767 0.01 \n", "285 5.689775 0.140414 0.094100 0.027568 0.01 \n", "490 5.820113 0.095703 0.093350 0.012229 0.01 \n", "\n", " param_gamma param_lambda param_max_depth \\\n", "1013 0 2 8 \n", "2022 0 4 7 \n", "2021 0 4 6 \n", "2020 0 4 5 \n", "2019 0 3 9 \n", "... ... ... ... \n", "485 9 7 5 \n", "235 4 7 5 \n", "495 9 9 5 \n", "285 5 7 5 \n", "490 9 8 5 \n", "\n", " params split0_test_score \\\n", "1013 {'eta': 0.1, 'gamma': 0, 'lambda': 2, 'max_dep... 1.000000 \n", "2022 {'eta': 0.2, 'gamma': 0, 'lambda': 4, 'max_dep... 1.000000 \n", "2021 {'eta': 0.2, 'gamma': 0, 'lambda': 4, 'max_dep... 1.000000 \n", "2020 {'eta': 0.2, 'gamma': 0, 'lambda': 4, 'max_dep... 1.000000 \n", "2019 {'eta': 0.2, 'gamma': 0, 'lambda': 3, 'max_dep... 1.000000 \n", "... ... ... \n", "485 {'eta': 0.01, 'gamma': 9, 'lambda': 7, 'max_de... 0.901917 \n", "235 {'eta': 0.01, 'gamma': 4, 'lambda': 7, 'max_de... 0.901920 \n", "495 {'eta': 0.01, 'gamma': 9, 'lambda': 9, 'max_de... 0.903516 \n", "285 {'eta': 0.01, 'gamma': 5, 'lambda': 7, 'max_de... 0.901889 \n", "490 {'eta': 0.01, 'gamma': 9, 'lambda': 8, 'max_de... 0.900825 \n", "\n", " split1_test_score split2_test_score split3_test_score \\\n", "1013 1.000000 1.000000 1.000000 \n", "2022 1.000000 1.000000 1.000000 \n", "2021 1.000000 1.000000 1.000000 \n", "2020 1.000000 1.000000 1.000000 \n", "2019 1.000000 1.000000 1.000000 \n", "... ... ... ... \n", "485 0.931442 0.994141 0.995064 \n", "235 0.931435 0.993938 0.995089 \n", "495 0.931171 0.993594 0.994698 \n", "285 0.931437 0.993940 0.995081 \n", "490 0.931049 0.993738 0.994854 \n", "\n", " split4_test_score mean_test_score std_test_score rank_test_score \n", "1013 1.000000 1.000000 0.000000e+00 1 \n", "2022 1.000000 1.000000 0.000000e+00 1 \n", "2021 1.000000 1.000000 4.965068e-17 1 \n", "2020 1.000000 1.000000 4.965068e-17 1 \n", "2019 1.000000 1.000000 0.000000e+00 1 \n", "... ... ... ... ... \n", "485 0.994171 0.963347 3.923241e-02 2496 \n", "235 0.994342 0.963345 3.923190e-02 2497 \n", "495 0.993711 0.963338 3.856109e-02 2498 \n", "285 0.994340 0.963338 3.923991e-02 2499 \n", "490 0.993912 0.962875 3.950075e-02 2500 \n", "\n", "[2500 rows x 17 columns]" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.DataFrame(xgb_pipeline.named_steps['grid_search'].cv_results_).sort_values(\"rank_test_score\", ascending=True)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": { "id": "tKB7oJZTL8Mh", "outputId": "0b7a525f-3461-475f-c1b6-6868d4a162c4" }, "outputs": [ { "data": { "text/plain": [ "['model_xgb9.h5']" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joblib.dump(xgb_pipeline, 'model_xgb9.h5')" ] }, { "cell_type": "markdown", "metadata": { "id": "t78xNhTBITKK" }, "source": [ "### Statistical Performances" ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "id": "_Ad5J7dEITKY", "outputId": "caafc3e6-f7de-4e9f-8365-3cca3dbc3c92" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 1361\n", " 1 1.00 1.00 1.00 439\n", "\n", " accuracy 1.00 1800\n", " macro avg 1.00 1.00 1.00 1800\n", "weighted avg 1.00 1.00 1.00 1800\n", "\n" ] } ], "source": [ "train_xgb = xgb_pipeline.predict(x_test)\n", "print(classification_report(y_test, train_xgb))" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "id": "gOvp9xiaITKY", "outputId": "66cd2702-cf02-4f91-d5f5-2f24f8d79019" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y_test, train_xgb)\n", "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\")\n", "plt.suptitle(\"Confusion Matrix of XGBoost Model\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "id": "obRuqGDkITKZ", "outputId": "3e28d83c-1255-4097-f3c4-083e772e9c89" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ROC AUC Score: 1.0\n", "Specificity: 1.0\n", "Sensitivity: 1.0\n" ] } ], "source": [ "# Calculate ROC AUC\n", "probabilities = xgb_pipeline.predict_proba(x_test)[:, 1]\n", "roc_auc = roc_auc_score(y_test, probabilities)\n", "\n", "tn, fp, fn, tp = cm.ravel()\n", "specificity = tn / (tn + fp)\n", "sensitivity = tp / (tp + fn)\n", "\n", "print(\"ROC AUC Score:\", roc_auc)\n", "print('Specificity:', specificity)\n", "print('Sensitivity:', sensitivity)" ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "id": "9dpPX4dpITKa", "outputId": "d4faef8e-abcd-44bb-f5db-63f5ad2b6f5a" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RocCurveDisplay.from_predictions(y_test, probabilities, pos_label=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 176 }, "id": "pUNEMO2sNSKB", "outputId": "db812854-ce8d-428d-85f0-b0ba8d3ae08d" }, "outputs": [], "source": [ "model_xgb = XGBClassifier(n_estimators=250,\n", " subsample=0.8,\n", " objective='binary:logistic',\n", " eval_metric='logloss',\n", " **xgb_pipeline.named_steps['grid_search'].best_params_)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "id": "SWtGEr9iNSKB" }, "outputs": [], "source": [ "model_xgb = XGBClassifier(n_estimators=250,\n", " subsample=0.8,\n", " objective='binary:logistic',\n", " eval_metric='logloss',\n", " eta=0.05, gamma=0, reg_lambda=0, max_depth=8)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "zQVcmXvvNSKB", "outputId": "cf0c507b-7345-4df1-b2c2-cb092c80e56e" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iteration1\n", "ROC_AUC = 1.0\n", "Specificity = 1.0\n", "Sensitivity = 1.0\n", " \n", "iteration2\n", "ROC_AUC = 1.0\n", "Specificity = 1.0\n", "Sensitivity = 1.0\n", " \n", "iteration3\n", "ROC_AUC = 1.0\n", "Specificity = 1.0\n", "Sensitivity = 1.0\n", " \n", "iteration4\n", "ROC_AUC = 1.0\n", "Specificity = 1.0\n", "Sensitivity = 1.0\n", " \n", "iteration5\n", "ROC_AUC = 1.0\n", "Specificity = 1.0\n", "Sensitivity = 1.0\n", " \n" ] } ], "source": [ "xgb_pipelines = ImbPipeline([('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('model', model_xgb)])\n", "\n", "roc_auc = []\n", "specificity = []\n", "sensitivity = []\n", "\n", "for i in range(5):\n", " xgb_pipelines.fit(x_train, y_train)\n", "\n", " train_xgb = xgb_pipelines.predict(x_test)\n", "\n", " # Calculate ROC AUC\n", " probabilities = xgb_pipelines.predict_proba(x_test)[:, 1]\n", " roc_auc = roc_auc_score(y_test, probabilities)\n", "\n", " cm = confusion_matrix(y_test, train_xgb)\n", " tn, fp, fn, tp = cm.ravel()\n", " specificity = tn / (tn + fp)\n", " sensitivity = tp / (tp + fn)\n", "\n", " print(f\"iteration{i+1}\")\n", " print(f\"ROC_AUC = {roc_auc}\")\n", " print(f\"Specificity = {specificity}\")\n", " print(f\"Sensitivity = {sensitivity}\")\n", " print(\" \")" ] }, { "cell_type": "markdown", "metadata": { "id": "MY60mBfzpSFe" }, "source": [ "## APPROXIMATING XGBOOST" ] }, { "cell_type": "markdown", "metadata": { "id": "k5YN0ahiTfuj" }, "source": [ "### Pre-Modeling" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0KbbLnsTTfuj", "outputId": "154a20a0-79ad-47fa-829c-32a499960d9b" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Work_Federal-govWork_Local-govWork_NaNWork_Never-workedWork_PrivateWork_Self-emp-incWork_Self-emp-not-incWork_State-govWork_Without-payMarital_Status_Divorced...capital_lossincident_hour_of_the_daynumber_of_vehicles_involvedbodily_injurieswitnessestotal_claim_amountinjury_claimproperty_claimvehicle_claimauto_year
00.00.00.00.00.00.01.00.00.00.0...1.0000000.2173910.0000000.50.6666670.6228010.3034970.5500630.6542960.45
10.00.00.00.01.00.00.00.00.01.0...1.0000000.3478260.0000000.00.0000000.0432850.0363640.0329530.0432760.60
20.00.00.00.01.00.00.00.00.00.0...1.0000000.3043480.6666671.01.0000000.3009060.3589740.1626530.2897220.60
30.00.00.00.01.00.00.00.00.00.0...0.4383440.2173910.0000000.50.6666670.5512980.2955710.2678500.6371870.95
40.00.00.00.01.00.00.00.00.00.0...0.5859590.8695650.0000000.00.3333330.0557390.0606060.0274610.0563590.70
..................................................................
89950.00.00.00.01.00.00.00.00.00.0...1.0000000.8695650.0000000.00.3333330.7585790.8130540.3683990.7670150.55
89960.00.00.00.01.00.00.00.00.00.0...1.0000001.0000000.0000001.01.0000000.9439120.8428900.7638360.9089191.00
89970.00.00.00.00.00.01.00.00.00.0...1.0000000.1739130.6666671.01.0000000.5870060.3496500.3168570.6595800.05
89980.00.00.00.00.00.01.00.00.01.0...1.0000000.0869570.0000000.00.3333330.4082910.2433570.2205320.4588000.15
89990.00.00.00.01.00.00.00.00.00.0...1.0000000.2608700.0000000.01.0000000.0431980.0214450.0388680.0454150.60
\n", "

9000 rows × 1180 columns

\n", "
" ], "text/plain": [ " Work_Federal-gov Work_Local-gov Work_NaN Work_Never-worked \\\n", "0 0.0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... \n", "8995 0.0 0.0 0.0 0.0 \n", "8996 0.0 0.0 0.0 0.0 \n", "8997 0.0 0.0 0.0 0.0 \n", "8998 0.0 0.0 0.0 0.0 \n", "8999 0.0 0.0 0.0 0.0 \n", "\n", " Work_Private Work_Self-emp-inc Work_Self-emp-not-inc Work_State-gov \\\n", "0 0.0 0.0 1.0 0.0 \n", "1 1.0 0.0 0.0 0.0 \n", "2 1.0 0.0 0.0 0.0 \n", "3 1.0 0.0 0.0 0.0 \n", "4 1.0 0.0 0.0 0.0 \n", "... ... ... ... ... \n", "8995 1.0 0.0 0.0 0.0 \n", "8996 1.0 0.0 0.0 0.0 \n", "8997 0.0 0.0 1.0 0.0 \n", "8998 0.0 0.0 1.0 0.0 \n", "8999 1.0 0.0 0.0 0.0 \n", "\n", " Work_Without-pay Marital_Status_Divorced ... capital_loss \\\n", "0 0.0 0.0 ... 1.000000 \n", "1 0.0 1.0 ... 1.000000 \n", "2 0.0 0.0 ... 1.000000 \n", "3 0.0 0.0 ... 0.438344 \n", "4 0.0 0.0 ... 0.585959 \n", "... ... ... ... ... \n", "8995 0.0 0.0 ... 1.000000 \n", "8996 0.0 0.0 ... 1.000000 \n", "8997 0.0 0.0 ... 1.000000 \n", "8998 0.0 1.0 ... 1.000000 \n", "8999 0.0 0.0 ... 1.000000 \n", "\n", " incident_hour_of_the_day number_of_vehicles_involved bodily_injuries \\\n", "0 0.217391 0.000000 0.5 \n", "1 0.347826 0.000000 0.0 \n", "2 0.304348 0.666667 1.0 \n", "3 0.217391 0.000000 0.5 \n", "4 0.869565 0.000000 0.0 \n", "... ... ... ... \n", "8995 0.869565 0.000000 0.0 \n", "8996 1.000000 0.000000 1.0 \n", "8997 0.173913 0.666667 1.0 \n", "8998 0.086957 0.000000 0.0 \n", "8999 0.260870 0.000000 0.0 \n", "\n", " witnesses total_claim_amount injury_claim property_claim \\\n", "0 0.666667 0.622801 0.303497 0.550063 \n", "1 0.000000 0.043285 0.036364 0.032953 \n", "2 1.000000 0.300906 0.358974 0.162653 \n", "3 0.666667 0.551298 0.295571 0.267850 \n", "4 0.333333 0.055739 0.060606 0.027461 \n", "... ... ... ... ... \n", "8995 0.333333 0.758579 0.813054 0.368399 \n", "8996 1.000000 0.943912 0.842890 0.763836 \n", "8997 1.000000 0.587006 0.349650 0.316857 \n", "8998 0.333333 0.408291 0.243357 0.220532 \n", "8999 1.000000 0.043198 0.021445 0.038868 \n", "\n", " vehicle_claim auto_year \n", "0 0.654296 0.45 \n", "1 0.043276 0.60 \n", "2 0.289722 0.60 \n", "3 0.637187 0.95 \n", "4 0.056359 0.70 \n", "... ... ... \n", "8995 0.767015 0.55 \n", "8996 0.908919 1.00 \n", "8997 0.659580 0.05 \n", "8998 0.458800 0.15 \n", "8999 0.045415 0.60 \n", "\n", "[9000 rows x 1180 columns]" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#one-hot encode categorical data\n", "encoder = OneHotEncoder(sparse_output=False)\n", "df_encoded = pd.DataFrame(encoder.fit_transform(data[cat_col]))\n", "df_encoded.columns = encoder.get_feature_names_out(cat_col)\n", "\n", "#scale numerical data\n", "scaler = MinMaxScaler()\n", "scaled_data = scaler.fit_transform(data[num_col])\n", "df_scaled = pd.DataFrame(scaled_data, columns=num_col)\n", "\n", "df_preprocessed = pd.concat([df_encoded, df_scaled], axis=1)\n", "df_preprocessed" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "id": "fi-iahdVSk0N" }, "outputs": [], "source": [ "x_train2, x_test2, y_train2, y_test2 = train_test_split(df_preprocessed, label, train_size=0.8, random_state=1)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "id": "XCe1Jsf8Tfuk" }, "outputs": [], "source": [ "# Create SMOTE object\n", "smote = SMOTE(random_state=1)\n", "\n", "# Transform data\n", "x_smote, y_smote = smote.fit_resample(x_train2, y_train2)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "g8x7DHB7Tful", "outputId": "ba7865b9-314f-405a-b356-7d492513c649" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Work_Federal-govWork_Local-govWork_NaNWork_Never-workedWork_PrivateWork_Self-emp-incWork_Self-emp-not-incWork_State-govWork_Without-payMarital_Status_Divorced...capital_lossincident_hour_of_the_daynumber_of_vehicles_involvedbodily_injurieswitnessestotal_claim_amountinjury_claimproperty_claimvehicle_claimauto_year
00.00.00.00.01.0000000.00.0000000.00.00.000000...0.7002700.3478260.0000000.00.6666670.0754220.0680650.0616810.0725880.90
10.00.00.00.01.0000000.00.0000000.00.00.000000...1.0000000.5652170.0000000.01.0000000.4824940.2587410.4689480.4878600.85
20.00.00.00.01.0000000.00.0000000.00.00.000000...0.6273630.6521740.6666670.00.3333330.8584740.7076920.6413180.8584730.75
30.00.00.00.00.0000001.00.0000000.00.00.000000...0.6138610.3043480.6666671.00.0000000.4966030.4438230.2010980.5380550.35
40.00.00.00.00.0000001.00.0000000.00.00.000000...1.0000000.1304350.0000001.01.0000000.0422400.0419580.0190110.0444080.00
..................................................................
108270.00.00.00.01.0000000.00.0000000.00.00.673555...1.0000000.1304350.0000001.00.3333330.0426750.0233100.0422480.0431500.65
108280.00.00.00.00.1151640.00.8848360.00.00.000000...1.0000000.1739130.6666670.50.0000000.4415610.2368300.2146180.5103790.10
108290.00.00.00.01.0000000.00.0000000.00.00.000000...0.4725470.7826090.0000000.50.6666670.5337050.5202800.2357410.5606990.70
108300.00.00.00.01.0000000.00.0000000.00.00.000000...1.0000000.1304350.0000000.50.3333330.0452880.0247090.0223910.0524590.30
108310.00.00.00.01.0000000.00.0000000.00.00.000000...1.0000000.4347830.0000000.01.0000000.5244730.4326340.3920570.5244680.85
\n", "

10832 rows × 1180 columns

\n", "
" ], "text/plain": [ " Work_Federal-gov Work_Local-gov Work_NaN Work_Never-worked \\\n", "0 0.0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... \n", "10827 0.0 0.0 0.0 0.0 \n", "10828 0.0 0.0 0.0 0.0 \n", "10829 0.0 0.0 0.0 0.0 \n", "10830 0.0 0.0 0.0 0.0 \n", "10831 0.0 0.0 0.0 0.0 \n", "\n", " Work_Private Work_Self-emp-inc Work_Self-emp-not-inc Work_State-gov \\\n", "0 1.000000 0.0 0.000000 0.0 \n", "1 1.000000 0.0 0.000000 0.0 \n", "2 1.000000 0.0 0.000000 0.0 \n", "3 0.000000 1.0 0.000000 0.0 \n", "4 0.000000 1.0 0.000000 0.0 \n", "... ... ... ... ... \n", "10827 1.000000 0.0 0.000000 0.0 \n", "10828 0.115164 0.0 0.884836 0.0 \n", "10829 1.000000 0.0 0.000000 0.0 \n", "10830 1.000000 0.0 0.000000 0.0 \n", "10831 1.000000 0.0 0.000000 0.0 \n", "\n", " Work_Without-pay Marital_Status_Divorced ... capital_loss \\\n", "0 0.0 0.000000 ... 0.700270 \n", "1 0.0 0.000000 ... 1.000000 \n", "2 0.0 0.000000 ... 0.627363 \n", "3 0.0 0.000000 ... 0.613861 \n", "4 0.0 0.000000 ... 1.000000 \n", "... ... ... ... ... \n", "10827 0.0 0.673555 ... 1.000000 \n", "10828 0.0 0.000000 ... 1.000000 \n", "10829 0.0 0.000000 ... 0.472547 \n", "10830 0.0 0.000000 ... 1.000000 \n", "10831 0.0 0.000000 ... 1.000000 \n", "\n", " incident_hour_of_the_day number_of_vehicles_involved bodily_injuries \\\n", "0 0.347826 0.000000 0.0 \n", "1 0.565217 0.000000 0.0 \n", "2 0.652174 0.666667 0.0 \n", "3 0.304348 0.666667 1.0 \n", "4 0.130435 0.000000 1.0 \n", "... ... ... ... \n", "10827 0.130435 0.000000 1.0 \n", "10828 0.173913 0.666667 0.5 \n", "10829 0.782609 0.000000 0.5 \n", "10830 0.130435 0.000000 0.5 \n", "10831 0.434783 0.000000 0.0 \n", "\n", " witnesses total_claim_amount injury_claim property_claim \\\n", "0 0.666667 0.075422 0.068065 0.061681 \n", "1 1.000000 0.482494 0.258741 0.468948 \n", "2 0.333333 0.858474 0.707692 0.641318 \n", "3 0.000000 0.496603 0.443823 0.201098 \n", "4 1.000000 0.042240 0.041958 0.019011 \n", "... ... ... ... ... \n", "10827 0.333333 0.042675 0.023310 0.042248 \n", "10828 0.000000 0.441561 0.236830 0.214618 \n", "10829 0.666667 0.533705 0.520280 0.235741 \n", "10830 0.333333 0.045288 0.024709 0.022391 \n", "10831 1.000000 0.524473 0.432634 0.392057 \n", "\n", " vehicle_claim auto_year \n", "0 0.072588 0.90 \n", "1 0.487860 0.85 \n", "2 0.858473 0.75 \n", "3 0.538055 0.35 \n", "4 0.044408 0.00 \n", "... ... ... \n", "10827 0.043150 0.65 \n", "10828 0.510379 0.10 \n", "10829 0.560699 0.70 \n", "10830 0.052459 0.30 \n", "10831 0.524468 0.85 \n", "\n", "[10832 rows x 1180 columns]" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Mengubah Nama Fitur\n", "x_smote = x_smote.rename(columns={'Above_Below_50K_<=50K': 'Below_50K', 'Above_Below_50K_>50K': 'Above_50K'})\n", "x_smote" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "9m0fNQ-7Tful", "outputId": "caf34e95-a4ad-48c5-c280-0443ac0e3c2f" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Work_Federal-govWork_Local-govWork_NaNWork_Never-workedWork_PrivateWork_Self-emp-incWork_Self-emp-not-incWork_State-govWork_Without-payMarital_Status_Divorced...capital_lossincident_hour_of_the_daynumber_of_vehicles_involvedbodily_injurieswitnessestotal_claim_amountinjury_claimproperty_claimvehicle_claimauto_year
00.00.00.00.01.0000000.00.0000000.00.00.000000...0.7002700.3478260.0000000.00.6666670.0754220.0680650.0616810.0725880.90
10.00.00.00.01.0000000.00.0000000.00.00.000000...1.0000000.5652170.0000000.01.0000000.4824940.2587410.4689480.4878600.85
20.00.00.00.01.0000000.00.0000000.00.00.000000...0.6273630.6521740.6666670.00.3333330.8584740.7076920.6413180.8584730.75
30.00.00.00.00.0000001.00.0000000.00.00.000000...0.6138610.3043480.6666671.00.0000000.4966030.4438230.2010980.5380550.35
40.00.00.00.00.0000001.00.0000000.00.00.000000...1.0000000.1304350.0000001.01.0000000.0422400.0419580.0190110.0444080.00
..................................................................
108270.00.00.00.01.0000000.00.0000000.00.00.673555...1.0000000.1304350.0000001.00.3333330.0426750.0233100.0422480.0431500.65
108280.00.00.00.00.1151640.00.8848360.00.00.000000...1.0000000.1739130.6666670.50.0000000.4415610.2368300.2146180.5103790.10
108290.00.00.00.01.0000000.00.0000000.00.00.000000...0.4725470.7826090.0000000.50.6666670.5337050.5202800.2357410.5606990.70
108300.00.00.00.01.0000000.00.0000000.00.00.000000...1.0000000.1304350.0000000.50.3333330.0452880.0247090.0223910.0524590.30
108310.00.00.00.01.0000000.00.0000000.00.00.000000...1.0000000.4347830.0000000.01.0000000.5244730.4326340.3920570.5244680.85
\n", "

10832 rows × 1180 columns

\n", "
" ], "text/plain": [ " Work_Federal-gov Work_Local-gov Work_NaN Work_Never-worked \\\n", "0 0.0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... \n", "10827 0.0 0.0 0.0 0.0 \n", "10828 0.0 0.0 0.0 0.0 \n", "10829 0.0 0.0 0.0 0.0 \n", "10830 0.0 0.0 0.0 0.0 \n", "10831 0.0 0.0 0.0 0.0 \n", "\n", " Work_Private Work_Self-emp-inc Work_Self-emp-not-inc Work_State-gov \\\n", "0 1.000000 0.0 0.000000 0.0 \n", "1 1.000000 0.0 0.000000 0.0 \n", "2 1.000000 0.0 0.000000 0.0 \n", "3 0.000000 1.0 0.000000 0.0 \n", "4 0.000000 1.0 0.000000 0.0 \n", "... ... ... ... ... \n", "10827 1.000000 0.0 0.000000 0.0 \n", "10828 0.115164 0.0 0.884836 0.0 \n", "10829 1.000000 0.0 0.000000 0.0 \n", "10830 1.000000 0.0 0.000000 0.0 \n", "10831 1.000000 0.0 0.000000 0.0 \n", "\n", " Work_Without-pay Marital_Status_Divorced ... capital_loss \\\n", "0 0.0 0.000000 ... 0.700270 \n", "1 0.0 0.000000 ... 1.000000 \n", "2 0.0 0.000000 ... 0.627363 \n", "3 0.0 0.000000 ... 0.613861 \n", "4 0.0 0.000000 ... 1.000000 \n", "... ... ... ... ... \n", "10827 0.0 0.673555 ... 1.000000 \n", "10828 0.0 0.000000 ... 1.000000 \n", "10829 0.0 0.000000 ... 0.472547 \n", "10830 0.0 0.000000 ... 1.000000 \n", "10831 0.0 0.000000 ... 1.000000 \n", "\n", " incident_hour_of_the_day number_of_vehicles_involved bodily_injuries \\\n", "0 0.347826 0.000000 0.0 \n", "1 0.565217 0.000000 0.0 \n", "2 0.652174 0.666667 0.0 \n", "3 0.304348 0.666667 1.0 \n", "4 0.130435 0.000000 1.0 \n", "... ... ... ... \n", "10827 0.130435 0.000000 1.0 \n", "10828 0.173913 0.666667 0.5 \n", "10829 0.782609 0.000000 0.5 \n", "10830 0.130435 0.000000 0.5 \n", "10831 0.434783 0.000000 0.0 \n", "\n", " witnesses total_claim_amount injury_claim property_claim \\\n", "0 0.666667 0.075422 0.068065 0.061681 \n", "1 1.000000 0.482494 0.258741 0.468948 \n", "2 0.333333 0.858474 0.707692 0.641318 \n", "3 0.000000 0.496603 0.443823 0.201098 \n", "4 1.000000 0.042240 0.041958 0.019011 \n", "... ... ... ... ... \n", "10827 0.333333 0.042675 0.023310 0.042248 \n", "10828 0.000000 0.441561 0.236830 0.214618 \n", "10829 0.666667 0.533705 0.520280 0.235741 \n", "10830 0.333333 0.045288 0.024709 0.022391 \n", "10831 1.000000 0.524473 0.432634 0.392057 \n", "\n", " vehicle_claim auto_year \n", "0 0.072588 0.90 \n", "1 0.487860 0.85 \n", "2 0.858473 0.75 \n", "3 0.538055 0.35 \n", "4 0.044408 0.00 \n", "... ... ... \n", "10827 0.043150 0.65 \n", "10828 0.510379 0.10 \n", "10829 0.560699 0.70 \n", "10830 0.052459 0.30 \n", "10831 0.524468 0.85 \n", "\n", "[10832 rows x 1180 columns]" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x_smote.columns = [str(col) for col in x_smote.columns]\n", "x_smote" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Yqq76yEQTful", "outputId": "1b85f54c-5912-4f76-d1d0-2ee42295c7f8" }, "outputs": [ { "data": { "text/plain": [ "Index(['Work_Federal-gov', 'Work_Local-gov', 'Work_NaN', 'Work_Never-worked',\n", " 'Work_Private', 'Work_Self-emp-inc', 'Work_Self-emp-not-inc',\n", " 'Work_State-gov', 'Work_Without-pay', 'Marital_Status_Divorced',\n", " ...\n", " 'capital_loss', 'incident_hour_of_the_day',\n", " 'number_of_vehicles_involved', 'bodily_injuries', 'witnesses',\n", " 'total_claim_amount', 'injury_claim', 'property_claim', 'vehicle_claim',\n", " 'auto_year'],\n", " dtype='object', length=1180)" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x_smote.columns" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "EB6ywZqVTfum", "outputId": "c4ce73ee-c2cf-4204-833f-29c40cb9c3a2" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
fraud_reported
00
10
21
30
40
......
108271
108281
108291
108301
108311
\n", "

10832 rows × 1 columns

\n", "
" ], "text/plain": [ " fraud_reported\n", "0 0\n", "1 0\n", "2 1\n", "3 0\n", "4 0\n", "... ...\n", "10827 1\n", "10828 1\n", "10829 1\n", "10830 1\n", "10831 1\n", "\n", "[10832 rows x 1 columns]" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_smote = y_smote.to_frame()\n", "y_smote" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "FgjDs7BCTAKc", "outputId": "318b9428-9e47-4e8e-fdce-d69012290f11" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Work_Federal-govWork_Local-govWork_NaNWork_Never-workedWork_PrivateWork_Self-emp-incWork_Self-emp-not-incWork_State-govWork_Without-payMarital_Status_Divorced...capital_lossincident_hour_of_the_daynumber_of_vehicles_involvedbodily_injurieswitnessestotal_claim_amountinjury_claimproperty_claimvehicle_claimauto_year
52210.00.00.00.01.00.00.00.00.00.0...1.0000000.7391300.0000001.00.6666670.2438600.1310020.2374310.2465720.85
29750.00.00.00.01.00.00.00.00.01.0...0.3618360.7826090.3333330.00.6666670.5787320.2820510.5111960.6080010.65
57860.00.00.00.01.00.00.00.00.01.0...0.4464450.6086961.0000000.00.0000000.5135860.5006990.2268690.5395650.85
85910.00.00.00.01.00.00.00.00.00.0...1.0000000.6956520.0000001.00.3333330.6956110.3389280.9214200.6393260.05
13210.00.00.00.01.00.00.00.00.00.0...0.5787580.5652170.6666670.01.0000000.5530400.2965030.5373890.5591900.75
..................................................................
56960.00.00.00.01.00.00.00.00.00.0...0.5445540.7391300.0000001.00.3333330.4110780.2004660.3633290.4318780.55
52310.00.00.00.00.01.00.00.00.00.0...0.5049500.7826090.0000001.01.0000000.2913260.1421910.2577100.3060760.50
30590.00.00.00.01.00.00.00.00.00.0...0.4734470.5217390.6666670.50.3333330.5471170.5333330.2416560.5747890.25
63660.00.00.00.01.00.00.00.00.00.0...1.0000000.3913040.0000001.00.0000000.0235150.0130540.0118290.0272991.00
38810.01.00.00.00.00.00.00.00.00.0...0.5526550.7826090.0000000.51.0000000.3191080.1557110.2822140.3352620.15
\n", "

1800 rows × 1180 columns

\n", "
" ], "text/plain": [ " Work_Federal-gov Work_Local-gov Work_NaN Work_Never-worked \\\n", "5221 0.0 0.0 0.0 0.0 \n", "2975 0.0 0.0 0.0 0.0 \n", "5786 0.0 0.0 0.0 0.0 \n", "8591 0.0 0.0 0.0 0.0 \n", "1321 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... \n", "5696 0.0 0.0 0.0 0.0 \n", "5231 0.0 0.0 0.0 0.0 \n", "3059 0.0 0.0 0.0 0.0 \n", "6366 0.0 0.0 0.0 0.0 \n", "3881 0.0 1.0 0.0 0.0 \n", "\n", " Work_Private Work_Self-emp-inc Work_Self-emp-not-inc Work_State-gov \\\n", "5221 1.0 0.0 0.0 0.0 \n", "2975 1.0 0.0 0.0 0.0 \n", "5786 1.0 0.0 0.0 0.0 \n", "8591 1.0 0.0 0.0 0.0 \n", "1321 1.0 0.0 0.0 0.0 \n", "... ... ... ... ... \n", "5696 1.0 0.0 0.0 0.0 \n", "5231 0.0 1.0 0.0 0.0 \n", "3059 1.0 0.0 0.0 0.0 \n", "6366 1.0 0.0 0.0 0.0 \n", "3881 0.0 0.0 0.0 0.0 \n", "\n", " Work_Without-pay Marital_Status_Divorced ... capital_loss \\\n", "5221 0.0 0.0 ... 1.000000 \n", "2975 0.0 1.0 ... 0.361836 \n", "5786 0.0 1.0 ... 0.446445 \n", "8591 0.0 0.0 ... 1.000000 \n", "1321 0.0 0.0 ... 0.578758 \n", "... ... ... ... ... \n", "5696 0.0 0.0 ... 0.544554 \n", "5231 0.0 0.0 ... 0.504950 \n", "3059 0.0 0.0 ... 0.473447 \n", "6366 0.0 0.0 ... 1.000000 \n", "3881 0.0 0.0 ... 0.552655 \n", "\n", " incident_hour_of_the_day number_of_vehicles_involved bodily_injuries \\\n", "5221 0.739130 0.000000 1.0 \n", "2975 0.782609 0.333333 0.0 \n", "5786 0.608696 1.000000 0.0 \n", "8591 0.695652 0.000000 1.0 \n", "1321 0.565217 0.666667 0.0 \n", "... ... ... ... \n", "5696 0.739130 0.000000 1.0 \n", "5231 0.782609 0.000000 1.0 \n", "3059 0.521739 0.666667 0.5 \n", "6366 0.391304 0.000000 1.0 \n", "3881 0.782609 0.000000 0.5 \n", "\n", " witnesses total_claim_amount injury_claim property_claim \\\n", "5221 0.666667 0.243860 0.131002 0.237431 \n", "2975 0.666667 0.578732 0.282051 0.511196 \n", "5786 0.000000 0.513586 0.500699 0.226869 \n", "8591 0.333333 0.695611 0.338928 0.921420 \n", "1321 1.000000 0.553040 0.296503 0.537389 \n", "... ... ... ... ... \n", "5696 0.333333 0.411078 0.200466 0.363329 \n", "5231 1.000000 0.291326 0.142191 0.257710 \n", "3059 0.333333 0.547117 0.533333 0.241656 \n", "6366 0.000000 0.023515 0.013054 0.011829 \n", "3881 1.000000 0.319108 0.155711 0.282214 \n", "\n", " vehicle_claim auto_year \n", "5221 0.246572 0.85 \n", "2975 0.608001 0.65 \n", "5786 0.539565 0.85 \n", "8591 0.639326 0.05 \n", "1321 0.559190 0.75 \n", "... ... ... \n", "5696 0.431878 0.55 \n", "5231 0.306076 0.50 \n", "3059 0.574789 0.25 \n", "6366 0.027299 1.00 \n", "3881 0.335262 0.15 \n", "\n", "[1800 rows x 1180 columns]" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Mengubah Nama Fitur\n", "x_test2 = x_test2.rename(columns={'Above_Below_50K_<=50K': 'Below_50K', 'Above_Below_50K_>50K': 'Above_50K'})\n", "x_test2" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "isFDCr8MS42e", "outputId": "484f353b-ae1b-465b-cea6-671f7f5dd813" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
fraud_reported
52210
29750
57860
85911
13210
......
56960
52310
30590
63660
38811
\n", "

1800 rows × 1 columns

\n", "
" ], "text/plain": [ " fraud_reported\n", "5221 0\n", "2975 0\n", "5786 0\n", "8591 1\n", "1321 0\n", "... ...\n", "5696 0\n", "5231 0\n", "3059 0\n", "6366 0\n", "3881 1\n", "\n", "[1800 rows x 1 columns]" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_test2=y_test2.to_frame()\n", "y_test2" ] }, { "cell_type": "markdown", "metadata": { "id": "AB77QUc-YvXq" }, "source": [ "### Model" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 249 }, "id": "tvRiyxHEpQqg", "outputId": "df3e1ace-e8d1-469f-ba6c-1470ee2ae684" }, "outputs": [ { "data": { "text/html": [ "
XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, device=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eta=0.05, eval_metric='logloss',\n",
              "              feature_types=None, gamma=0, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=None, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=8,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, multi_strategy=None, n_estimators=250,\n",
              "              n_jobs=None, num_parallel_tree=None, ...)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "XGBClassifier(base_score=None, booster=None, callbacks=None,\n", " colsample_bylevel=None, colsample_bynode=None,\n", " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", " enable_categorical=False, eta=0.05, eval_metric='logloss',\n", " feature_types=None, gamma=0, grow_policy=None,\n", " importance_type=None, interaction_constraints=None,\n", " learning_rate=None, max_bin=None, max_cat_threshold=None,\n", " max_cat_to_onehot=None, max_delta_step=None, max_depth=8,\n", " max_leaves=None, min_child_weight=None, missing=nan,\n", " monotone_constraints=None, multi_strategy=None, n_estimators=250,\n", " n_jobs=None, num_parallel_tree=None, ...)" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model_xgb.fit(x_smote, y_smote)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "colab": { "background_save": true, "base_uri": "https://localhost:8080/" }, "id": "qaxHftKLWOLg", "outputId": "7d0c9918-a45c-4ad4-f7c7-f9c743ebba8f" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Start pruning\n", "Pruned forest training set AUC: 1.0\n", "Create conjunction set from training data instances\n", "Number of conjunctions created from data: 10436\n", "Create complete conjunction set\n", "Size at iteration 2: 729\n", "Size at iteration 3: 5001\n", "Size at iteration 4: 5001\n", "Size at iteration 5: 5001\n", "Size at iteration 6: 5001\n", "Size at iteration 7: 5001\n", "Size at iteration 8: 5001\n", "Size at iteration 9: 5001\n", "Size at iteration 10: 5001\n", "Size at iteration 11: 5001\n", "Size at iteration 12: 5001\n", "Size at iteration 13: 5001\n", "Size at iteration 14: 5001\n", "Size at iteration 15: 5001\n", "Size at iteration 16: 5001\n", "Size at iteration 17: 5001\n", "Size at iteration 18: 5001\n", "Size at iteration 19: 5001\n", "Size at iteration 20: 5001\n", "Size at iteration 21: 5001\n", "Size at iteration 22: 5001\n", "Size at iteration 23: 5001\n", "Size at iteration 24: 5001\n", "Size at iteration 25: 5001\n", "Size at iteration 26: 5001\n", "Size at iteration 27: 5001\n", "Size at iteration 28: 5001\n", "Size at iteration 29: 5001\n", "Size at iteration 30: 5001\n", "Size at iteration 31: 5001\n", "Size at iteration 32: 5001\n", "Size at iteration 33: 5001\n", "Size at iteration 34: 5001\n", "Size at iteration 35: 5001\n", "Size at iteration 36: 5001\n", "Size at iteration 37: 5001\n", "Size at iteration 38: 5001\n", "Size at iteration 39: 5001\n", "Size at iteration 40: 5001\n", "Size at iteration 41: 5001\n", "Size at iteration 42: 5001\n", "Size at iteration 43: 5001\n", "Size at iteration 44: 5001\n", "Size at iteration 45: 5001\n", "Size at iteration 46: 5001\n", "Size at iteration 47: 5001\n", "Size at iteration 48: 5001\n", "Size at iteration 49: 5001\n", "Size at iteration 50: 5001\n", "Size at iteration 51: 5001\n", "Size at iteration 52: 5001\n", "Size at iteration 53: 5001\n", "Size at iteration 54: 5001\n", "Size at iteration 55: 5001\n", "Size at iteration 56: 5001\n", "Size at iteration 57: 5001\n", "Size at iteration 58: 5001\n", "Size at iteration 59: 5001\n", "Size at iteration 60: 5001\n", "Size at iteration 61: 5001\n", "Size at iteration 62: 5001\n", "Size at iteration 63: 5001\n", "Size at iteration 64: 5001\n", "Size at iteration 65: 5001\n", "Size at iteration 66: 5001\n", "Size at iteration 67: 5001\n", "Size at iteration 68: 5001\n", "Size at iteration 69: 5001\n", "Size at iteration 70: 5001\n", "Size at iteration 71: 5001\n", "Size at iteration 72: 5001\n", "Size at iteration 73: 5001\n", "Size at iteration 74: 5001\n", "Size at iteration 75: 5001\n", "Size at iteration 76: 5001\n", "Size at iteration 77: 5001\n", "Size at iteration 78: 5001\n", "Size at iteration 79: 5001\n", "Size at iteration 80: 5001\n", "Size at iteration 81: 5001\n", "Size at iteration 82: 5001\n", "Size at iteration 83: 5001\n", "Size at iteration 84: 5001\n", "Size at iteration 85: 5001\n", "Size at iteration 86: 5001\n", "Size at iteration 87: 5001\n", "Size at iteration 88: 5001\n", "Size at iteration 89: 5001\n", "Size at iteration 90: 5001\n", "Size at iteration 91: 5001\n", "Size at iteration 92: 5001\n", "Size at iteration 93: 5001\n", "Size at iteration 94: 5001\n", "Size at iteration 95: 5001\n", "Size at iteration 96: 5001\n", "Size at iteration 97: 5001\n", "Size at iteration 98: 5001\n", "Size at iteration 99: 5001\n", "Size at iteration 100: 5001\n", "Size at iteration 101: 5001\n", "Size at iteration 102: 5001\n", "Size at iteration 103: 5001\n", "Size at iteration 104: 5001\n", "Size at iteration 105: 5001\n", "Size at iteration 106: 5001\n", "Size at iteration 107: 5001\n" ] }, { "ename": "KeyboardInterrupt", "evalue": "", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[43], line 13\u001b[0m\n\u001b[1;32m 10\u001b[0m model_apprx_xgb \u001b[38;5;241m=\u001b[39m FBT(max_depth\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m10\u001b[39m, max_number_of_conjunctions\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m5000\u001b[39m, min_forest_size\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m150\u001b[39m, pruning_method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mauc\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 12\u001b[0m \u001b[38;5;66;03m#Fit Model\u001b[39;00m\n\u001b[0;32m---> 13\u001b[0m \u001b[43mmodel_apprx_xgb\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdf_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfeature_cols\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabel_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel_xgb\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[9], line 54\u001b[0m, in \u001b[0;36mFBT.fit\u001b[0;34m(self, train, feature_cols, label_col, xgb_model, pruned_forest, trees_conjunctions_total)\u001b[0m\n\u001b[1;32m 52\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrees_conjunctions \u001b[38;5;241m=\u001b[39m pruned_forest\n\u001b[1;32m 53\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcs \u001b[38;5;241m=\u001b[39m ConjunctionSet(max_number_of_conjunctions\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_number_of_conjunctions)\n\u001b[0;32m---> 54\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrees_conjunctions\u001b[49m\u001b[43m,\u001b[49m\u001b[43mtrain\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfeature_cols\u001b[49m\u001b[43m,\u001b[49m\u001b[43mlabel_col\u001b[49m\u001b[43m,\u001b[49m\u001b[43mint_features\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mint_cols\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mStart ordering conjunction set in a tree structure\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtree \u001b[38;5;241m=\u001b[39m Tree(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcs\u001b[38;5;241m.\u001b[39mconjunctions, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcs\u001b[38;5;241m.\u001b[39msplitting_points,\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_depth)\n", "Cell \u001b[0;32mIn[8], line 55\u001b[0m, in \u001b[0;36mConjunctionSet.fit\u001b[0;34m(self, trees_conjunctions, data, feature_cols, label_col, int_features)\u001b[0m\n\u001b[1;32m 52\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcalculate_max_conjunctions_per_label(data,label_col)\n\u001b[1;32m 54\u001b[0m \u001b[38;5;66;03m# Run the algorithm of creating the complete conjunction set:\u001b[39;00m\n\u001b[0;32m---> 55\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreateConjunctionSetFromTreeConjunctions\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;66;03m#Merge the two conjunctions:\u001b[39;00m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtraining_conjunctions\n", "Cell \u001b[0;32mIn[8], line 73\u001b[0m, in \u001b[0;36mConjunctionSet.createConjunctionSetFromTreeConjunctions\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 71\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions\u001b[38;5;241m=\u001b[39m merge_two_conjunction_sets(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrees_conjunctions[i])\n\u001b[1;32m 72\u001b[0m i\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m\n\u001b[0;32m---> 73\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfilter\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m#Filter redundant conjunction according to the filtering strategy\u001b[39;00m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msize_per_iteration\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions))\n\u001b[1;32m 75\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSize at iteration \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39m\u001b[38;5;28mstr\u001b[39m(i)\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m: \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39m\u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions)))\n", "Cell \u001b[0;32mIn[8], line 87\u001b[0m, in \u001b[0;36mConjunctionSet.filter\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 85\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m 86\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfilter_method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprobability\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m---> 87\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfilter_by_probability\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 88\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfilter_method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprobability_label\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m 89\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfilter_by_probability_labels()\n", "Cell \u001b[0;32mIn[8], line 104\u001b[0m, in \u001b[0;36mConjunctionSet.filter_by_probability\u001b[0;34m(self, EPSILON)\u001b[0m\n\u001b[1;32m 102\u001b[0m independent_probs \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m conj \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions:\n\u001b[0;32m--> 104\u001b[0m independent_probs\u001b[38;5;241m.\u001b[39mappend(np\u001b[38;5;241m.\u001b[39msum(np\u001b[38;5;241m.\u001b[39mlog([\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mecdf[col](conj\u001b[38;5;241m.\u001b[39mfeatures_upper[col])\u001b[38;5;241m-\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mecdf[col](conj\u001b[38;5;241m.\u001b[39mfeatures_lower[col])\u001b[38;5;241m+\u001b[39mEPSILON \u001b[38;5;28;01mfor\u001b[39;00m\n\u001b[1;32m 105\u001b[0m col \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfeature_cols))])))\n\u001b[1;32m 106\u001b[0m max_value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msorted\u001b[39m(independent_probs, reverse\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_number_of_conjunctions]\n\u001b[1;32m 107\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions \u001b[38;5;241m=\u001b[39m [c \u001b[38;5;28;01mfor\u001b[39;00m c,val \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions,independent_probs) \u001b[38;5;28;01mif\u001b[39;00m val \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m max_value]\n", "Cell \u001b[0;32mIn[8], line 104\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 102\u001b[0m independent_probs \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m conj \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions:\n\u001b[0;32m--> 104\u001b[0m independent_probs\u001b[38;5;241m.\u001b[39mappend(np\u001b[38;5;241m.\u001b[39msum(np\u001b[38;5;241m.\u001b[39mlog([\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mecdf[col](conj\u001b[38;5;241m.\u001b[39mfeatures_upper[col])\u001b[38;5;241m-\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mecdf[col](\u001b[43mconj\u001b[49m\u001b[38;5;241m.\u001b[39mfeatures_lower[col])\u001b[38;5;241m+\u001b[39mEPSILON \u001b[38;5;28;01mfor\u001b[39;00m\n\u001b[1;32m 105\u001b[0m col \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfeature_cols))])))\n\u001b[1;32m 106\u001b[0m max_value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msorted\u001b[39m(independent_probs, reverse\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_number_of_conjunctions]\n\u001b[1;32m 107\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions \u001b[38;5;241m=\u001b[39m [c \u001b[38;5;28;01mfor\u001b[39;00m c,val \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconjunctions,independent_probs) \u001b[38;5;28;01mif\u001b[39;00m val \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m max_value]\n", "\u001b[0;31mKeyboardInterrupt\u001b[0m: " ] } ], "source": [ "#Get Features & Label Name\n", "feature_cols = list(x_smote.columns)\n", "label_name = y_smote.columns[0]\n", "\n", "#Combine x_train & y_train\n", "df_train = x_smote.copy()\n", "df_train[label_name] = y_smote.values.squeeze()\n", "\n", "#Use The Method\n", "model_apprx_xgb = FBT(max_depth=10, max_number_of_conjunctions=5000, min_forest_size=150, pruning_method='auc')\n", "\n", "#Fit Model\n", "model_apprx_xgb.fit(df_train, feature_cols, label_name, model_xgb)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "R0aWy2K85odL", "outputId": "d728b398-3af3-47af-a425-ff9cec831992" }, "outputs": [ { "data": { "text/plain": [ "['model_apprx_xgb9.h5']" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joblib.dump(model_apprx_xgb, 'model_apprx_xgb9.h5')" ] }, { "cell_type": "markdown", "metadata": { "id": "p727RkPgT5ME" }, "source": [ "### Statistical Performances" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "doQz06gvT5MF", "outputId": "1eed2a27-fe27-44e3-d07c-6a8fdd18e49f" }, "outputs": [ { "ename": "NameError", "evalue": "name 'model_apprx_xgb' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m train_apprx_xgb \u001b[38;5;241m=\u001b[39m \u001b[43mmodel_apprx_xgb\u001b[49m\u001b[38;5;241m.\u001b[39mpredict(x_test2)\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(classification_report(y_test2, train_apprx_xgb))\n", "\u001b[0;31mNameError\u001b[0m: name 'model_apprx_xgb' is not defined" ] } ], "source": [ "train_apprx_xgb = model_apprx_xgb.predict(x_test2)\n", "print(classification_report(y_test2, train_apprx_xgb))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 482 }, "id": "XSdpdeebT5MG", "outputId": "97dea6fd-c7eb-4d61-bf40-3eefe98475f2" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y_test2, train_apprx_xgb)\n", "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\")\n", "plt.suptitle(\"Confusion Matrix Model Decision Tree\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "NCxQu141T5MG", "outputId": "19de27b4-1c3c-42e5-82fb-d4322ad9ddc6" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ROC AUC Score: 0.9064762108793782\n", "Specificity: 0.8655400440852314\n", "Sensitivity: 0.89749430523918\n" ] } ], "source": [ "# Calculate ROC AUC\n", "probabilities = model_apprx_xgb.predict_proba(x_test2)[:, 1]\n", "roc_auc = roc_auc_score(y_test2, probabilities)\n", "\n", "tn, fp, fn, tp = cm.ravel()\n", "specificity = tn / (tn + fp)\n", "sensitivity = tp / (tp + fn)\n", "\n", "print(\"ROC AUC Score:\", roc_auc)\n", "print('Specificity:', specificity)\n", "print('Sensitivity:', sensitivity)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 458 }, "id": "6ZTyAVwGT5MH", "outputId": "3676c906-e765-4578-b075-ac89e9cd9ab4" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RocCurveDisplay.from_predictions(y_test2, probabilities, pos_label=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "DmCH__lONSKJ" }, "outputs": [], "source": [ "# roc_auc = []\n", "# specificity = []\n", "# sensitivity = []\n", "\n", "# for i in range(5):\n", "# model_apprx_xgb.fit(df_train, feature_cols, label_name, model_xgb)\n", "\n", "# train_apprx_xgb = model_apprx_xgb.predict(x_test2)\n", "\n", "# # Calculate ROC AUC\n", "# probabilities = model_apprx_xgb.predict_proba(x_test2)[:, 1]\n", "# roc_auc = roc_auc_score(y_test2, probabilities)\n", "\n", "# cm = confusion_matrix(y_test2, train_apprx_xgb)\n", "# tn, fp, fn, tp = cm.ravel()\n", "# specificity = tn / (tn + fp)\n", "# sensitivity = tp / (tp + fn)\n", "\n", "# print(f\"iteration{i+1}\")\n", "# print(f\"ROC_AUC{roc_auc}\")\n", "# print(f\"Specificity{specificity}\")\n", "# print(f\"Sensitivity{sensitivity}\")\n", "# print(\" \")" ] }, { "cell_type": "markdown", "metadata": { "id": "iKHS1AI8_lZw" }, "source": [ "# Interpretasi Model" ] }, { "cell_type": "markdown", "metadata": { "id": "diZjuopu_p4v" }, "source": [ "## Feature Importance" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "xHCMr1M7rbM1", "outputId": "a494860f-7e1b-4488-b403-f97b20168dd3" }, "outputs": [ { "ename": "NameError", "evalue": "name 'dt_pipeline' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minspection\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpermutation_importance\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpermutation_importance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdt_pipeline\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx_test\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_test\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn_repeats\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[0msorted_importances_idx_dt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimportances_mean\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margsort\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'dt_pipeline' is not defined" ] } ], "source": [ "# COMMUNICATE the results\n", "## Model interpretation: Permutation Feature Importance (PFI)\n", "from sklearn.inspection import permutation_importance\n", "\n", "result = permutation_importance(dt_pipeline, x_test, y_test, n_repeats=10, random_state=1)\n", "\n", "sorted_importances_idx_dt = result.importances_mean.argsort()\n", "importances = pd.DataFrame(result.importances[sorted_importances_idx_dt[0:36]].T,\n", " columns=feature_names[sorted_importances_idx_dt[0:36]])\n", "\n", "ax = importances.plot.box(vert=False, whis=10)\n", "ax.set_title(\"Permutation Importances (Test Set)\")\n", "ax.axvline(x=0, color=\"k\", linestyle=\"--\")\n", "ax.set_xlabel(\"Decrease in Accuracy Score\")\n", "ax.tick_params(axis='y', labelsize=8)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "WIXwRYjQralR", "outputId": "c3ddc977-83b5-4b89-d008-873a9f26418f" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# COMMUNICATE the results\n", "## Model interpretation: Permutation Feature Importance (PFI)\n", "from sklearn.inspection import permutation_importance\n", "\n", "result = permutation_importance(rf_pipeline, x_test, y_test, n_repeats=10, random_state=1)\n", "\n", "sorted_importances_idx_rf = result.importances_mean.argsort()\n", "importances = pd.DataFrame(result.importances[sorted_importances_idx_rf[0:36]].T,\n", " columns=feature_names[sorted_importances_idx_rf[0:36]])\n", "\n", "ax = importances.plot.box(vert=False, whis=10)\n", "ax.set_title(\"Permutation Importances (Test Set)\")\n", "ax.axvline(x=0, color=\"k\", linestyle=\"--\")\n", "ax.set_xlabel(\"Decrease in Accuracy Score\")\n", "ax.tick_params(axis='y', labelsize=8)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "jgN2qUn3h8H9", "outputId": "51c71381-ddb6-4810-f207-2e4825b33590" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# COMMUNICATE the results\n", "## Model interpretation: Permutation Feature Importance (PFI)\n", "from sklearn.inspection import permutation_importance\n", "\n", "result = permutation_importance(xgb_pipelines, x_test, y_test, n_repeats=10, random_state=1)\n", "\n", "sorted_importances_idx_xgb = result.importances_mean.argsort()\n", "importances = pd.DataFrame(result.importances[sorted_importances_idx_xgb[0:36]].T,\n", " columns=feature_names[sorted_importances_idx_xgb[0:36]])\n", "\n", "ax = importances.plot.box(vert=False, whis=10)\n", "ax.set_title(\"Permutation Importances (Test Set)\")\n", "ax.axvline(x=0, color=\"k\", linestyle=\"--\")\n", "ax.set_xlabel(\"Decrease in Accuracy Score\")\n", "ax.tick_params(axis='y', labelsize=8)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "O-hP48YD5x-5" }, "outputs": [], "source": [ "# COMMUNICATE the results\n", "## Model interpretation: Permutation Feature Importance (PFI)\n", "from sklearn.inspection import permutation_importance\n", "from sklearn.metrics import make_scorer, accuracy_score\n", "\n", "scorer = make_scorer(accuracy_score)\n", "\n", "result = permutation_importance(model_apprx_xgb, x_test2, y_test2, n_repeats=10, random_state=1, scoring=scorer)\n", "\n", "sorted_importances_idx = result.importances_mean.argsort()\n", "importances = pd.DataFrame(result.importances[sorted_importances_idx[0:36]].T,\n", " columns=feature_names[sorted_importances_idx[0:36]])\n", "\n", "ax = importances.plot.box(vert=False, whis=10)\n", "ax.set_title(\"Permutation Importances (Test Set)\")\n", "ax.axvline(x=0, color=\"k\", linestyle=\"--\")\n", "ax.set_xlabel(\"Decrease in Accuracy Score\")" ] }, { "cell_type": "markdown", "metadata": { "id": "-QB5wnPlbesm" }, "source": [ "## PDPs" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "M9cLsU7uhbs3", "outputId": "8034855a-1b23-4ace-cfe4-bbbeada32373" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['insured_zip', 'auto_year', 'policy_annual_premium', 'property_claim', 'witnesses', 'months_as_customer', 'total_claim_amount', 'incident_hour_of_the_day', 'policy_deductable', 'vehicle_claim', 'capital_gains', 'capital_loss', 'injury_claim', 'Hours_Week', 'CustomerID', 'Age', 'bodily_injuries', 'number_of_vehicles_involved']\n", "['property_claim', 'insured_zip', 'policy_annual_premium', 'total_claim_amount', 'CustomerID', 'months_as_customer', 'capital_loss', 'injury_claim', 'vehicle_claim', 'witnesses', 'number_of_vehicles_involved', 'incident_hour_of_the_day', 'capital_gains', 'bodily_injuries', 'auto_year', 'Hours_Week', 'policy_deductable', 'Age']\n", "['insured_zip', 'property_claim', 'months_as_customer', 'capital_loss', 'witnesses', 'incident_hour_of_the_day', 'injury_claim', 'policy_annual_premium', 'auto_year', 'capital_gains', 'Age', 'Hours_Week', 'CustomerID', 'policy_deductable', 'vehicle_claim', 'total_claim_amount', 'bodily_injuries', 'number_of_vehicles_involved']\n" ] } ], "source": [ "numerical_features_sorted_dt = [feature_names[i] for i in sorted_importances_idx_dt if feature_names[i] in num_col]\n", "numerical_features_sorted_dt.reverse()\n", "\n", "numerical_features_sorted_rf = [feature_names[i] for i in sorted_importances_idx_rf if feature_names[i] in num_col]\n", "numerical_features_sorted_rf.reverse()\n", "\n", "numerical_features_sorted_xgb = [feature_names[i] for i in sorted_importances_idx_xgb if feature_names[i] in num_col]\n", "numerical_features_sorted_xgb.reverse()\n", "\n", "# numerical_features_sorted = [feature_names[i] for i in sorted_importances_idx if feature_names[i] in num_col]\n", "# numerical_features_sorted.reverse()\n", "\n", "print(numerical_features_sorted_dt)\n", "print(numerical_features_sorted_rf)\n", "print(numerical_features_sorted_xgb)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "VkScoRHWbeso", "outputId": "f6e4d269-9733-4823-f5f9-c6262a78e644" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "eLsr3CQ0beso", "outputId": "47288907-f430-4a20-dd5c-6cfbe678a400" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(rf_pipeline, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(rf_pipeline, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(rf_pipeline, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "jmu8ryLWbesp", "outputId": "7cda136c-2ea3-4183-dc61-9613b4c1d497" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZkAAAEJCAYAAABGw1qNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAABLYUlEQVR4nO3dd3zUVfb4/9e09A4pNOkk9JKwIEawAUaIyIqIgLCLoiiKC+oKggoqoHx1QdEfK7jqZwUpLk0QBcECGKREEAKETmiphPRJMuX9+yNkIJJkZpJMMpmc5+Ph4+G0d84kIWfuufeeq1IURUEIIYRwAHVdByCEEMJ1SZIRQgjhMJJkhBBCOIwkGSGEEA4jSUYIIYTDaOs6gNpgNpvJz89Hp9OhUqnqOhwhhKgXFEXBYDDg7e2NWl21MUmDSDL5+fmcPHmyrsMQQoh6qUOHDvj6+lbptQ0iyeh0OqDkG+Xm5nbL4wkJCXTp0qW2w7KZxFd9zh6jxFd9zh5jfYyvuLiYkydPWv6GVkWDSDKlJTI3Nzfc3d3LfU5F9zsLia/6nD1Gia/6nD3G+hpfdaYZZOJfCCGEw0iSEUII4TCSZIQQQjiMJBkhhBAOI0lGCCGEw0iSEULUGbNZThpxdZJkhBB1Iiu3iKfmb2fz7rN1HYpwIEkyQohaZzYrLFz1O6mZBSRfza/rcIQDSZIRQtS6b3ad5ffENADMJimZuTJJMkKIWnX6Uhb/9+1R+nQOI8DHHaPMy7i0BtFWRghR+1Ku5pOvNwBgMiskJedw6mIWe48m4+/jzpRHezLl/Z8wmcx1HKlwJEkyQogal5ZZwMR522+538tDS7vmAYwf0gk/bzc0ahUmGcm4NEkyQogal5VXBMCj93WgXYsAVECzEB+aNvZBrb7RbFGjUWOSORmXJklGCFHjDMaSEliXto3o0SGkwueVjGSkXObKZOJfCFHjDEYTADqtptLnSbnM9UmSEULUuNKRjE5b+Z8YjVrKZa5OkowQosbZnGQ0Ui5zdZJkhBA1rtjmkYyUy1ydJBkhRI0zXp+TcbM2J6NRS5NMFydJRghR42yfk1FhlM2YLk2SjBCixkm5TJSSJCOEqHGWkYzOerlMkoxrkyQjhKhxliSjsWEkI+UylyZJRghR4wxGExq1qkwLmfKULGGWkYwrkyQjhKhxBqMZN531Py+yGdP1ObR32aZNm1iyZAlGo5Hx48czZsyYMo9v376dxYsXoygKzZs3Z/78+fj7+7N+/Xref/99GjVqBMBdd93F1KlT2bdvH88//zxhYWEAdOrUifnz5zvyLQghqsBgNKPVVD4fA9K7rCFwWJJJTU1l4cKFrFu3Djc3N0aNGkWfPn1o164dAHl5ecyePZu1a9cSGhrKBx98wOLFi5k1axYJCQlMnz6doUOHlrlmQkICEyZM4Omnn3ZU2EKIGlBsMFldWQZSLmsIHFYui4uLo2/fvgQEBODl5cXgwYP5/vvvLY8bDAbeeOMNQkNDAQgPDyc5ORmAI0eOsH79emJjY3nppZfIzs623L97925iY2OZNGmS5flCiMqZzAqrfjjBlrhztbL50WCScpko4bCRTFpaGsHBwZbbISEhHD582HI7MDCQgQMHAlBYWMjSpUt5/PHHAQgODmbChAn06tWLf/3rX7z55pu8//77+Pr6EhMTw6BBg1i5ciVTp05l1apVNseUkJBQ4WPx8fH2vsVaJfFVn7PH6Kj4io1m1sZlcuJSIQDf7z7BQ30D8fe275+/PfGlpV/FaDBYfU3m1WsUFRfX2HtvqD/jmuKI+ByWZMxmMyrVjZUliqKUuV0qNzeXyZMnExERwfDhwwH4+OOPLY8/+eSTlmT05ptvWu5/7LHHeP/998nNzcXX19emmLp06YK7u/st98fHxxMZGWnbG6sDEl/1OXuMjoovO6+Itz7by8nLhTz1UFfcdBo+3XiEpVszuDuyBZrrS4y7tm1Eny5Naiy+LYf2UmjUW33NgQuHSbx8qUbee0P9GdeU8uIrKiqq9MO5LRxWLgsLCyM9Pd1yOz09nZCQsocXpaWlMXr0aMLDw5k7dy5QknS++OILy3MURUGj0WA2m1myZAkmk6nMNTQ2TC4K0VDN/vQ3zl3OZsb43sTe2YbBfVvy4Yt307Z5ADsOXGTb3iS+/fUcH645VKNzIwajCZ2t5TKZk3FpDksy/fr1Y8+ePWRmZqLX69m2bRv9+/e3PG4ymZg0aRIxMTHMnDnTMsrx8vLi008/5Y8//gBg+fLlDBw4ELVazQ8//MDWrVsB2LBhA927d8fLy8tRb0GIei39mp7TF7MYG9OR27s2tdzfpLE3c5+5gzXzhrBm3hD+MaonOfnFnLp4rca+tsFktm3iX9rKuDyHlctCQ0OZOnUq48aNw2AwMGLECLp168bEiROZMmUKKSkpHDt2DJPJZEkcXbp0Ye7cuSxatIjZs2dTWFhIq1atWLBgAQDvvvsur732Gh9//DFBQUGW+4UQtzp+/ioAXds1rvR5vSJCUKvgwLFUIloG1cjXNhjMeHlY//Oi0ciOf1fn0H0ysbGxxMbGlrlv2bJlAHTt2pXExMRyXxcVFcX69etvub99+/Z2TfQL0ZAdPXsVT3ctrZv4Vfo8Xy83OrZuxP5jqYyN6VgjX7tkM6Yt+2RKymUVzdmK+k92/Avhoo6dyySiZaBlcr8yUR1DOXslm6vZ+hr52gaTCa2N+2QApGLmuiTJCOGC8vQGklJy6NSmkU3P792xZL/a/mOpNfL1iw22z8kAUjJzYZJkhHBBieczURTo1Nq2OZbbwnwJCfTkwPGaSTIGo9nqqZhQUi4DZPLfhUmSEcIFHTt3FY1aRYfbAm16vkqlIqpjKIdOpVNsMFl/gRUGo40jmevlMkkyrkuSjBAu6Ni5TNo1D8DDzfa1Pb07hVFUbOLImYxqf32D0cbeZVIuc3mSZIRwMQajiZMXrtHRxlJZqa7tGuOm03CgBuZlbB/JSLnM1UmSEcLFnL6YjcFoplNr2yb9S7nrNHRr15hDp9KtP7kSJrOCyaygs2lOpnQkI0nGVUmSEcLFHDtXsgnT1kn/m4UGeZGVW1Str28wlszp2FUukzNlXJYkGSFczNFzV2kW7IO/z63NYK3x8tBSUGREUao+sjAaSxKGm11JRkYyrkqSjBAupNhg4vi5zCqNYgB8PHWYzQqFxVVfYWa4nmTsmpORiX+XJUlGCBeyJe4ceXoDA3o1r9LrvTx0ABQUGqocQ7E9SUZGMi5PkowQLiJPb2DN9pP0Cg+he/tg6y8oh/f1JJOvr3qSuTEnIxP/QpKMEC5j7Y+nyNMbGD+kU5Wv4eVZsq8mX2+s8jWqVC6TiX+XJUlGCBeQkaXnm51nGNCrOW2a+Vf5OpaRTDXKZXYlGSmXuTxJMkK4gK+2JmJWYOz91WvVX3oGTHXmZAyW1WU2lMukrYzLkyQjRAUysvSY68Efv217k9i+/wIP3NGK0KDqnRTr7Vk6kql6uay095lNrf7VsrrM1UmSEaIcR05n8MTb2/hh34W6DqVS6346zeI1h+jZIYTHqzmKgRvlsoLqTPyb7JmTkZGMq3PoyZhC1EcFhQYWrT6IWYGdBy8xuG/LOonDbFY4ciaDw6czCAn0pGWYH00ae1NQaCQzp5A9R5LZuPMM0d2bMm10pE1/1K1xd9OgVqtqZE7GtpMxJcm4OkkyQvzJZ5uOknGtgF4RIRw6mU52XlGVds9bs/uPy+zYfxGzopCTnc2WQ3sJ8HUn0M8do9HMzkOXSb9W+UmVg/u25JmHu1v+WFeXSqXC20NbvSXMBnvayki5zNVJkhHiJvGJqWz9LYm/3tWOO3s24/fENPYdTWFgn5obzZhMZv5vy3HW/3yasEZe+Hm7oS82k55VwKmL18jOK+kd1iM8hL8N6cRfOoeRnVdMUnIOVzLy8fHUEeTvQXCAJ81DfFCpaibBlPLy0FFQjTkZy+oyG459lnKZ65MkIxq0K+l5zFzyKzqtBn8fNy6n59Mi1Jcx90eg06oJCfIi7kiy3Ukm5Wo+l9LyaN3UjyA/D1QqFcUGE1cy8vnPxgQOnUrngX6teHJYV3RaNfHx8URGRgIlf3ANBhMe7jf+eXoEaas9qW8rbw9d9cplpXMyOnvOk5Ek46okyYgG7eCJNDKyC+nXrQn5egMtm/jy1ENdLfMJ/bo2YfPus+TrDZaVV9acuZTFq0t+tYwG/H3c8HDTkn6tALMCWo2aKSN7VJi4NGoVGve6+6fp7Vm9kUyxoXTi357jl6Vc5qqs/iabzWY+++wzTp06xWuvvcaKFSt48skn0Wis/wIJ4exOX8rG38eN6eN6l1t26te1KRt+OcP+YyncFdnC6vUup+fxxrI9eHnoeHlsFClX8zl7OZuiYhN3R7agWYgPES0DCWvk7Yi3UyO8PLSkZhZU+fV2tfrXyEjG1VlNMgsWLCAzM5MjR44AsGvXLtLT05k1a5bDgxPC0U5fyqJt84AK5zXCWwYS5OdB3JFkq0kmI0vPa5/EAfDW07fTPMS3xuOtDSUjmaqXy4z2zMnI6jKXZ/W3YM+ePbzzzju4u7vj4+PDZ599xq+//lobsQnhUEUGExdSc2nXPKDC56jVKm7v2oT4xDQKi4wUFhk5cynrlj/CJ5IyeeXj3eTrDcyeWH8TDJSMZKqzuqzYaEarUaG2YcXbjXKZJBlXZXUko9VqUatv5CI3Nze0WpnKEfXfuSvZmM1KpUkGoF+3Jnz76zmemr+drLwiFKXkD3HM7a2IvbMNPx64yIrvE2nk78FbT/ezej1n5+2ho6DIiNms2JQo/sxgNNu8Z+dGuUzmZFyV1WzRoUMHVqxYgclk4uzZs3zxxRdERETURmxCONSZi1kAVpNC59aNiO7eFEWBlk38aNrYm98Skln/82nW/nQagOjuTZn8SA98bFwc4My8PHQoChQWGy3ny9jDYDTZNOkPUi5rCKwmmZkzZzJv3jyuXr3K6NGjiY6OZubMmbURmxAOdepSFv4+bjQO8Kj0eRqNmlfG9S5z34BezUnOyGfrb+e5LcyPuyOb1/h+lbpi6V+mr2qSsWckI+UyV2c1yfj4+PDMM88wb9488vLyuHDhAoGBgbURmxAOdeZSNu0qmfS3pkljb/42tHMNR1X3vD1v7sTsaffr7UoyaimXuTqrvwlffvklzz77LADXrl3j+eef5+uvv3Z4YEI4ki2T/g1V6eglr4qT/yVJRsplooTVJLN69WpWrlwJQIsWLdiwYQP//e9/HR6YEI5UOunfVpLMLbyreaZMsdFk80hGpSpZhSZJxnVZ/U0wmUz4+PhYbvv6+tpcXti0aRMPPPAAgwYNYsWKFbc8vn37doYNG8aDDz7Is88+S3Z2NgDr168nOjqaYcOGMWzYMBYuXAhATk4OTz31FDExMYwZM4b09HSb4hDiz05fn/Rv3yKgTuNwRl4e1TtTxp5yGZSMZqRc5rqs/ia0adOG9957j4sXL3Lx4kU++OADWrVqZfXCqampLFy4kK+++ooNGzawevVqTp8+bXk8Ly+P2bNns3TpUr755hvCw8NZvHgxAAkJCUyfPp2NGzeyceNGpk6dCsCiRYuIioriu+++45FHHmHu3LlVfNuioTt9KYsAH3ca+Vc+6d8QlU78V3UkYzCabToVs5RWIyMZV2Y1ycyZM4fz58/z0EMPMWLECM6fP8/s2bOtXjguLo6+ffsSEBCAl5cXgwcP5vvvv7c8bjAYeOONNwgNDQUgPDyc5ORkAI4cOcL69euJjY3lpZdesoxwfv75Z2JjYwEYOnQoO3fuxGCo+qYx0XCduZRNuxZVn/R3ZTdWl1U1ydheLgNQq9WSZFyY1dVljRs35qOPPrL7wmlpaQQHB1tuh4SEcPjwYcvtwMBABg4cCEBhYSFLly7l8ccfByA4OJgJEybQq1cv/vWvf/Hmm2/y/vvvl7mmVqvFx8eHzMxMS6KyJiEhocLH4uPj7X6PtUniq77SGIuNZpJScritkeJUcTtLLIqioFbD2fOXiI/Ptdxva3zZOfmoTIU2P18xm0hJSSU+vrhK8d7MWb6HFWmI8VlNMmfPnmXZsmVkZWWhKDc+bfz73/+u9HVms7nMp0RFUcr91Jibm8vkyZOJiIhg+PDhAHz88ceWx5988klLMvqzkn8Mtn9i6tKlC+7utx4+dXObdWck8VXfzTEmns9EUa5wZ++ORHZpUseRlXC276HPN+n4+jciMrI7YF98uu07CG7sZ/Pz3TelE9SoMZGRPaoaLuB838M/q4/xFRUVVfrh3BZWk8z06dPp1q0bvXuX36W2ImFhYRw4cMByOz09nZCQkDLPSUtL44knnqBv3768+uqrQEnSWbt2LX/729+AkkRS2vE5JCSEjIwMwsLCMBqN5OfnExAQYHNMQgCcvHANkEn/ylTnTJlieyf+NWrpwuzCrCYZvV5fpY7L/fr1Y/HixWRmZuLp6cm2bdt46623LI+bTCYmTZpETEyMZR8OgJeXF59++ik9e/ake/fuLF++3DKSGTBgABs2bGDSpEls2bKFqKgodLr638ZD1K7j5zMJDvSkkb/9Gw0bCi9PbZXPlDHa0VYGrq8uk/NkXJbVJNOyZUvS0tJuGYVYExoaytSpUxk3bhwGg4ERI0bQrVs3Jk6cyJQpU0hJSeHYsWOYTCa2bt0KlJSz5s6dy6JFi5g9ezaFhYW0atWKBQsWAPDCCy8wffp0hgwZgq+vL++9914V3rJo6BKTrtGxVVBdh+HUvD101Zj4N+Nm9xJmGcm4KpsOLRs6dCidO3cuM59hbU4GIDY21rIarNSyZcsA6Nq1K4mJieW+LioqivXr199yf0BAgE1fV4iKZGTpycjSE9FSWiNVxttTx5X0vCq9tthoRmtvuUxWl7ksq0lm4MCBFU68C1HfJCZlAhAhI5lKeXloa3czppTLXJbVJDN8+HBSUlI4ceIE0dHRpKam0rRp09qITYgal3j+Gm5aNa2b+td1KE6tquUyk8mM2azgprNjTkajwijlMpdl9ePGL7/8wqhRo5gzZw5Xr15lyJAhbN++vTZiE6LGJSZl0q5FgF2ftBsiLw8d+iKj3WUsgx1HL5fSqtWYpVzmsqz+Jnz00UesWbMGPz8/QkJC+Oqrr/jwww9rIzYhalSxwcSZS9lEtJRSmTWl7f71RfaVzAzXe5DZt+NfymWuzKYGmTevLOvYsaO04hD10plL2RhNZiJayaS/NaVNMgvsLJlZRjJ2lstk4t91WU0ynp6eXLlyxZJYDhw4UO6ueSGcnWXSX0YyVln6l9m5IbPYYALsK5fJEmbXZnXi/8UXX2TChAmkp6fz6KOPcv78eUu3ZCGcWdq1AvYcSeaBfq2BkiQTGuRFoJ90XrbmxpkydpbLjPaXyzQaNSY7y3Ki/rCaZHr16sWaNWs4ePAgZrOZ7t27ExQknwSF8/t29znW/XyaA8dSub+HjsTz1+jatnFdh1UvWM6UsbNcZrw+J+Oms3cJs4xkXFWFSWb//v1lbnt5eQFw5swZzpw5Q+/evR0bmRDVdDk9D28PLUfOZHAxVUNmjlHmY2xU7XKZvW1lpFzmsipMMm+++SZQ0rvsypUrtG/fHo1Gw8mTJ2nbti0bN26stSCFqIorGXl0ax/M4L4tmfv5XkDmY2zlVVouq+rEvz1zMhq1rC5zYRUmmU2bNgHwj3/8gwULFtCrVy8Ajh49Kq1dhNMzmRWSM/L5S6cwIiNCmXBfMHp1I9o0k02YtvCu4hHMxZbVZTLxL0pYnZM5d+6cJcEAdO7cmaSkJIcGJUR1pV8rwGhSaBrsA0CTIDciIzvUcVT1h5tOg06rtvsIZmNVJv7VKowyJ+OyrP4meHh4sG7dOkwmE0ajkZUrV+Ln51cbsQlRZVfS8wFodj3JCPt5e+jIq2q5zK45GTVmk5TLXJXVJDNv3jy+/PJLunbtSvfu3Vm/fj3z58+vjdiEqLLL1zsINw32ruNI6i8vD/vPlCk2lkz829XqXzZjujSr5bK2bduyfv16srKyAOQkSlEvXEnPw8tDS4CPbByuKi9P+0/HLB3J2NXqX5YwuzSrSebs2bMsW7aMrKwsFOXGL4JM/gtndiUjn6aNvaUFUjV4e2irvrrM7uOXpVzmqqwmmenTp9OtWzd69+4t/2BFvXE5PY9wOZisWrw8dGTmFNn1GoOlXGbv8csyknFVVpOMXq9n1qxZtRGLEDXCYDSRfq2Ae6Ja1HUo9ZqPp47c/GJOXbzG5avFtMgsICTIq9LXVGkkI0nGpVn9TWjZsiVpaWm1EYsQNSLlagFmBZo2lkn/6gjwdScrr4hpi3aybGsaz7y7g6vZ+kpfY5mTsXczppTLXJbVkYzZbGbo0KF07ty5TPdlmZMRzurGyjJZvlwdI+5pT6fWjTArCkePn2L9nky+izvP2JiOFb6m2GBCq1GjVtteWteqVZgVMJsVu14n6gerSWbgwIEMHDiwNmIRokZckSRTI7w8dER1DAVAo7/M5Ww3vttznpH3dajweGWDyWz3qaNqTUliMSsKaiTJuBqrSWb48OGkpKRw4sQJoqOjSU1NpWnTprURmxBVcjk9nwAfd3yuN3kUNePB/m3YezSFX36/xMA+Lct9jsFof5LRqEuebzSZ7SqzifrB6k/0l19+YdSoUcyZM4erV68yZMgQtm/fXhuxCVElVzLyaCLzMTWua9vGtGrixze7zpbZznAzg8Fs10ZMKJn4h5JymXA9Vn8bPvroI9asWYOfnx8hISF89dVXfPjhh7URmxBVciU9T9rJOIBKpeLBO9twPjmHw6czyn1OyUjG9uXLULLjH5AVZi7KapIxmUyEhIRYbnfs2FH2ywinVVBoIDOnSNrJOMiAXs3x83Zj/c+nSbmaT2ZOIYXFN1rPGEwmu3b7w41ymXRidk1W52Q8PT25cuWKJbEcOHCgzCozIZxJcoY0xnQkN52GB/q1ZtUPJ5g4r6RsrtOq+WT6fQQHelJsMNt1KibcKJfJmTKuyWqSeemll5gwYQLp6ek8+uijnD9/nsWLF9dGbELYrbT7sqwsc5wR97anVRM/CouNJF/NZ/UPJzl9KYvgQE+MRrNdB5YBaEvLZTKScUlWk0zPnj1Zs2YNBw8exGw20717d4KC5HRB4ZwuZ5QsX5aJf8dx12m4o3vJCtOCQgOrfzjJxdRcbu/a5PoSZvvmZNSl5TKZk3FJVpMMwMGDB9m1axcajQYvLy/69Onj6LiEqJKEMxm0CPXFvYJ9HKJmeXnoaOzvwcW0XKBkM6avt5td1ygtlxll179LsjquXbx4Me+88w6+vr54eHjw+uuv89///rc2YhPCLvl6AwlnrvKXTqF1HUqD0jzUl0upJUnGUKVyWcnzZQmza7L62/DNN9+wZs0aXnjhBaZOncqaNWtYuXKlTRfftGkTDzzwAIMGDWLFihW3PL59+3aGDRvGgw8+yLPPPkt2dnaZx48dO0aXLl0st/ft20efPn0YNmwYw4YNY8aMGTbFIRqG30+kYTIr/KVzWF2H0qC0CPXlUloeZrNSpc2YarUsYXZlVstlAQEBeHvfqG/7+fnh5VV5J1aA1NRUFi5cyLp163Bzc2PUqFH06dOHdu3aAZCXl8fs2bNZu3YtoaGhfPDBByxevNjS8Vmv1/PWW29hMNw4zyIhIYEJEybw9NNP2/1GhevbdywFP283wlvKnGFtahHqS2GxiYxsPQajqcKWMxW5sU9GymWuyOpHjsjISJ599ll++ukndu7cycsvv0zTpk3Ztm0b27Ztq/B1cXFx9O3bl4CAALy8vBg8eDDff/+95XGDwcAbb7xBaGhJaSM8PJzk5GTL4++88w7jx48vc80jR46we/duYmNjmTRpUpnni4bNZDITfzyVqI6hlhq/qB0tQkpW8l1Mza1iWxlZXebKrI5kjh49CsBnn31W5v4vv/wSlUrFoEGDyn1dWloawcHBltshISEcPnzYcjswMNDSeLOwsJClS5fy+OOPA7Bjxw4KCwu5//77y1zT19eXmJgYBg0axMqVK5k6dSqrVq2y5X0KF3f8fCa5BQb+0klKZbWtRagvABdT86o2JyOry1ya1STz5ZdfVunCZrO5TGcARVHK7RSQm5vL5MmTiYiIYPjw4aSnp7NkyRK++OKLW5775ptvWv7/scce4/333yc3NxdfX1+bYkpISKjwsfj4eJuuUVckvsptO5iFWg3oLxMfX/4It65jtKY+x+fprubg0XMUFhvJzEy3672cTy05ffN4YiKF1zwcFqMzaIjxWU0y6enpzJw5k6SkJL766iv++c9/8s4775QZpZQnLCyMAwcOlLnOze1poGS088QTT9C3b19effVVAH7++WeysrIYM2aM5XnDhg1j+fLlLF++nKeeegqN5kbN9+b/t6ZLly7ldiuIj48nMjLS5uvUNonPumU/7KBbu2Du6Nu73MedIcbK1Pf4Wu8poNAMZnM+zZs1JTKy4jNn/szz3FXYkU6btu3pFR5i/QVVjLGu1cf4ioqKKv1wbgur49o5c+Zw33334e7ujp+fHxEREcycOdPqhfv168eePXvIzMxEr9ezbds2+vfvb3ncZDIxadIkYmJimDlzpmWU88gjj7B9+3Y2btzIxo0bAdi4cSO+vr788MMPbN26FYANGzbQvXt3mxYhCNd2JT2Py+l5UiqrQy1CfUlKzsGs2Hf0MsgSZldndSRz+fJlRo4cyVdffYVOp+Pll18mNjbW6oVDQ0OZOnUq48aNw2AwMGLECLp168bEiROZMmUKKSkpHDt2DJPJZEkcXbp0Ye7cuRVe89133+W1117j448/JigoiAULFtjxVoWr2ncsBUCWLtehFqG+5BeWNMq0t9W/ZQmzbMZ0SVaTjEqlwnzT0sK8vLwytysTGxt7S0JatmwZAF27diUxMdHqNU6cOGH5//bt28tEv7jFbwkptAzzJTRIRrV1pUXIjXlR+7swX9/xLyMZl2T1t2HQoEG89NJL5ObmsmrVKsaPH09MTExtxCaEVdl5RRw/d5W+XZvUdSgNWvPQGw1J7T5PpvTQMlnC7JKsjmQmTZrEhg0bMJvNxMXF8eijj/LII4/URmxCWLX3aApmBW7vIkmmLgUHeOLhpqGw2GR3uax0TkY2Y7ommxpkPvTQQzz00EMODkUI++05kkxIoCdtmvnXdSgNmkqlonmID6cvZUtbGVFGhUnmnnvuqfQEzB07djgkIFE/XUjJYc+RZP56dzu7yyVVVVBo4NDJdB64o5Wc1uoEWoT6VinJlJ6MaZRymUuqMMl8+OGHAJZVZY8++igajYZ169aV6ScmROIlPe+u3Ym+yITRpDDm/oha+brxiWkYTWYplTmJ0p3/9n7IKD20zNYFRaJ+qTDJlHY/PnXqFF9//bXl/hkzZjBixAjHRyacntmssHr7SVbtvEr7FgE08vfg6x0n6detCa2bOr589VtCMn7ebnRs3cjhX0tYV5pk7D3LR8plrs3qnExOTg6ZmZmW0zBTU1PJy8tzeGDCeWTnFZFw9ipc/xuQmVPIkTMZJJzJILfAQLdWXrwxKZrCYhPPLtjBh6sP8t6U/mjs7GFlD4PRzIHjqdzRrak0xHQSkRGhPPVQVzq2tq8LdunviZTLXJPVJDN+/HhiY2OJjo5GURR+/fVXXn755dqITTiJ5d8n8v2e82XuCwn0pE/nJkR1CsW9+ApuOg1uOg1PD+/Ggi8PsOGXMzx8T3uHxXT4dDoFhUZZuuxEdFo1sXe2sft1WrWUy1yZ1SQzevRoevXqxZ49ewB48skn6dChg8MDE84j5Wo+rZr48dKYkr5Gnh5aQgJvbHy8uSFldPem7DwYxoqtifToEEzb5gEOiWnPkWQ83TX0aF95Dz3h/G6cJyMjGVdk0xLmiIgIIiJqZzJXOJ+MLD0tQn1p2cTP6nNVKhXPPtydaR/s5M3/7OW9Kf0JDvSs0XhyC4r55fdL9OvW1O4DsoTzUcvqMpfmuKK5cAmKopCRpSc4wPZEEejnwewn+1JYbGTOp3vI19fsasTv95ynsNjEQwPa1uh1Rd0onVKTzZiuSZKMqFS+3kBhsYnGdiQZgJZN/Hh1/F+4lJbH3M/3sX3fBbbvu8DOg5coNpiqHI/BaGbz7rP07BBcKyvYhOOpVCq0GpV0YXZRNpXLRMOVkV0IYHeSAejeIZgpj/bgg1UHOXImw3L/y2Mj6d+zeZXi2XnwEpk5Rbwwql2VXi+ck1qtluOXXVSFSaZnz57l7qIuPeHy999/d2hgwjlkZOkB7CqX3eyeqNuIjAilsNiEvsjI8+/9RGZOYZWupSgKG345Q6smfvTsIBP+rkSjVmGUcpldjCYzb322l65tG/Pw3e2ctutFhUlm8+bNtRmHcFLp15NMI/+qT977+7jjT0mS0GpUZOUWVek6B0+mcz45hxceLf8DkKi/tBqVdGG20+FTGfyemMbviWlcTM3luUe611pLJ3tUmGSaNWtm+f9jx45RUFCAoiiYTCYuXLjAyJEjayVAUbcysvSoVRDkd+ux1fZSqVT4ebuTk19cpddv+fUcgb7uDOjVzPqTRb2iUatlCbOddv9xGS8PLbHRbVi9/SSpmQWMuKc9pZ+/OrYKwstDV7dBYsOczKxZs9ixYwdFRUWEhIRw4cIFIiMjJck0EBlZeoL8PGps976/jxvZeVVLMpfS8ujUppFTfloT1aNWqzDKyZg2M5rM7DmSzF86hzE2piMtQn35YPVB5nz6m+U5t4X58v+ev7POE43VJBMXF8eOHTuYM2cOkydPJjk5mU8//bQ2YhNOICNLX6VJ/4r4+7iTnVe1cllOfjH+3m41FotwHlqNSkYydvjjVDp5egPR3ZoCMKBXczq3aURGdkl5OyUjn4WrDvL+it959e9/qdPWS1Y/ngYHB+Pl5UWbNm04efIkffr0ISUlpTZiE04gI0tPo5pMMt7uZOfbn2RMZoU8fTF+3tUv2wnno1GrZQmzHX794wpeHlp6hodY7msc4ElEyyAiWgZxV2QLnhrWhX3HUlj+3fE6jNSGJKPT6di/fz9t27Zl586d5ObmUlBQUBuxiTpWlY2Y1lS1XJabX4yilLxeuB4pl9nu5lJZZR0vHrijNfff3or//XiK3X9crsUIy7KaZF566SVWrVrFgAEDSExMpG/fvjz44IO1EZuoYzn5xRQbzTVeLtMXGe3ekJlzffTjLyMZl6SRcpnN/lwqq4hKpeLp4V2J7t6UtMy6GxhYnZPp0aMHPXr0AGDNmjXk5ubi6+vr6LiEEyjdI1OzSaZkJJKdV2xXT7Ps6yvS/GROxiVppVxms92Hbi2VVUSrUfPKuN61EFUlMVT0wNy5c5k5cyaTJk0q9/F///vfDgtKOIer13f712S5rHROJTu/yK4kk3O9xOYn5TKXpJaRTIX0RUbmfbGPomIT7joNiUmZ9O3apN40h60wydx+++0ADB48uNaCEc7lxkZMjxq7ZoDP9SRj5wqz0sUC/j5SLnNFGpmTqdCltFwOnUynVRM/FEWheagvQ+5oXddh2azCJHPPPfcAkJSUxD/+8Y8yj7399tsMHz7coYGJupeRpUejVhHgW3NJ5uZymT1KN3D6eslIxhVpNVIuq4i+yAjAxIe60K1d/WunVGGS+fDDD8nJyWHLli1ljls2GAzs3r2bWbNm1UqAou5kZOlp5O9Ro2vs/a6PRHLsXMacnVeEt4cWnVYah7sijVrKZRXRF5YkGU/3+tnPuMKou3fvzpEjR1Cr1QQEBFju12g0vPfee7URm6hj6TW8ERPA20Nbpf5lOXnFlgQlXI9araKoGkdAuLLSkYzLJZkBAwYwYMAAAJ577rlaC0g4j6vZejrcFlij16xq/7Kc/GJZWebCZCRTsfqeZKzWHr7//vvaiEM4GbNZISOrkMbV6L5ckQAfd7vnZLLzi2SPjAvTatTShbkC9T3JWI26devWzJo1i6ioKLy8vCz3Dxo0yKGBibqVnV+E0VSzGzFL+fm42b+6LK+Yds0DajwW4RzUcp5MhQquJxkPNxdNMllZWWRlZZGUlGS5T6VSSZJxcY7YiFnK39udlKv5Nj9fURQpl7k4jVolJ2NWQF9kxNNdg7oOm1xWh9Uk8+WXX1b54ps2bWLJkiUYjUbGjx/PmDFjyjy+fft2Fi9eXLL2u3lz5s+fj7//jXPbjx07xsiRI0lISAAgJyeHl156iYsXLxIUFMSiRYsIDq5/S/rqg+qeiFkZf1/7+pfpi4wYTWZpjunCZAlzxfSFxnpbKgMbksz58+dZvny55dAys9lMUlISq1atqvR1qampLFy4kHXr1uHm5saoUaPo06cP7dqVnM2el5fH7NmzWbt2LaGhoXzwwQcsXrzYsjRar9fz1ltvYTAYLNdctGgRUVFRLF26lA0bNjB37lwWLVpUjbcvKpKRVbLb31EjmdL+ZbbsWi5NSNIc03Wp1SpMUi4rV8lIpv4mGasT/y+++CIGg4GDBw/SrFkzTp8+TYcOHaxeOC4ujr59+xIQEICXlxeDBw8us4jAYDDwxhtvEBoaCkB4eDjJycmWx9955x3Gjx9f5po///wzsbGxAAwdOpSdO3eWSUKi5mRk6dFq1A4pUdm7IbN0t7+Uy1xXyY5/GcmUp74nGauR5+fnM2fOHObOnUv//v0ZN24cY8eOtXrhtLS0MqWskJAQDh8+bLkdGBjIwIEDASgsLGTp0qU8/vjjAOzYsYPCwkLuv//+Cq+p1Wrx8fEhMzPTkqjEDUaTmWff/ZHUTNvnPm5mVqBJI2+H1IFLW8PY2r+sdLmztJRxXVIuq5i+yFjnp1tWh9UkU7oRs2XLlpw6dYpu3bqhUln/w2M2m8s8T1GUcl+Xm5vL5MmTiYiIYPjw4aSnp7NkyRK++OILq19DURTUatt3gJfO7ZQnPj7e5uvUBXvjy9WbSL6aT/umHjQJrNov6G3B7jZ/XXviS04vGZkcOHiU7FTrLWsOnylJlBfOnSQ3veqf6FztZ1zbHBnf1avXKCo2VPtruOL38Oq1XAK8NbXy3hzxNaz+i23ZsiVz585l+PDhzJw5k4KCAoxGo9ULh4WFceDAAcvt9PR0QkLKtqZOS0vjiSeeoG/fvrz66qtASUksKyurzCKBYcOGsWLFCkJCQsjIyCAsLAyj0Uh+fn6ZbgTWdOnSBXf3Wz8Nx8fHExkZafN1altV4ruYmgskM+zuzgzo1dwxgV1nb3xN0vP47IcdhDS5jcjIFlaffz77FHCNfn16VfkTnSv+jGuTo+P7/dIRjiRdqNbXcNXvoWrrDzQJDXL4eysvvqKioko/nNvC6jBg9uzZREVF0alTJx555BF+++033nzzTasX7tevH3v27CEzMxO9Xs+2bdvo37+/5XGTycSkSZOIiYlh5syZllHOI488wvbt29m4cSMbN24EYOPGjfj4+DBgwAA2bNgAwJYtW4iKikKnq7/DSEcqKCyZq/L2dL7vj7+d/cty8ovRadX1ui4tKqdRq2XHfwVcek7m5MmTnD9/3nJo2ejRoxk9erRNFw4NDWXq1KmMGzcOg8HAiBEj6NatGxMnTmTKlCmkpKRw7NgxTCYTW7duBUpGGnPnzq3wmi+88ALTp09nyJAh+Pr6Sg+1SuTrS0ab3k5Yy/Wys39ZyW5/N5vKtKJ+0mpUmGV1Wblcdgnz2rVreffdd2nZsiUXLlzg/fffJzo62q6Lx8bGWlaDlVq2bBkAXbt2JTEx0eo1Tpw4Yfn/gIAAOSzNRvmWkYzz/XLa278sW5pjujz19dVlFc3dNlQmk5lioxlPD+f7d2yrCiP/8ssv2bRpE6GhoRw8eJCFCxfanWRE3cnXO2+5DOzrX5Yru/1dnub6Ah6zAhrJMRb1vW8ZWJmTKV0a3LNnT65du1YrAYmaYUkyTlguA/v6l0lzTNenvZ5ZpGRWVoErJ5k/D1k1mvpxnrQokV9oQK1W4e7mnD+3AB93yyZLa7LzimW3v4srPRhP+peV5fIjmZtJnbR+ydcb8PbQOe3PrWQkY71cZjCa0BcZpVzm4kr3uxllhVkZrpBkKoz8xIkT9OrVy3K7sLCQXr16WSbmfv/991oJUFRNQaERHyedjwHb+5eVLg6QiX/XdmMkI+WymxXU86OXoZIk88MPP9RmHKKG5ekNeDnhyrJSltYyecWVtpaxNMeUkYxLuzEnIyOZm5WOZLxccXVZs2bNajMOUcNKy2XOytIk00r/stLFAVIuc22WcpnMyZShd4GRjO2Nv0S9UlBocNrly4BltZi1FWbSHLNhsJTLZHVZGa4wJyNJxkU5/UjG17Z2/9Lmv2GQcln5JMkIp5VfaHTqkUyQnwdqFSRnVH4UQU5eMSoV+HhJknFlGku5TEYyN9MXGdGoVei09fdPdf2NXFTIZDKjLzLi7cSThR5uWlo28eNEUmalz8vJL8bXy81SThGuSa0pLZfJSOZmpc0xnXUrgi0kybig0l3CzjySAQhvGcTJC9cqLZFk5xfJRswGQKuWJFMefZGxXvctA0kyLqm0pYyzn6YX0TKQ/EIjl9JyK3xOdl4xftJSxuVpNNd7l0mSKaO+t/kHSTIuydmbY5YKbxkIQGJS+X3xrqTncTktTyb9G4DSY75lTqas+t7mHyTJuKTSNv/OvOMfoFmwDz6eOk78KckoisIPe5N44V8/YzSZefDONnUUoagtGimXlcsVRjL1O3pRrtIDy5x9l7BKpSK8ZSCJf5r8/3D1Ibbvv0C3do2Z+lgvGgdUvFlTuAZtablMNmOWUVBkJMjfo67DqBYZybig+lIuA4hoFcTF1FxLzKcuXmP7/gsM69+Wt57uJwmmgSgdyRhlM2YZrjCSkSTjggrqSbkMIPy2QBQFTl4oKZlt2nUWT3cNoweHW+r0wvWppVxWLn2R0ekrEtZIknFBpaMCTydfXQbQ4bZAVKqSyf9rOYXsOnSZe3vf5vQr40TNKi2XyXkyNyiK4hIjmfodvShXXqEBT3dtvdjA6O2po0Wob8mmTEXBaFKIjZaJ/oZGepfdqthoxmxWJMkI51Ogd+7d/n8W0TKIuMNXOHM5m6iOoTQN9qnrkEQtU8vJmLco7cDsVc+TjJTLXFC+k3dg/rPwloHk6Q1k5RYRK8uVGyRLuUzmZCwszTHr0QfG8kiScUH5+vqVZCKub8psHuJDzw7BdRyNqAul5TKzlMssXKEDM0i5zCXlFxoI9K0/a+ubh/jSKzyEQX1b1utGgKLqNJrSHf8ykiklSUY4rXy9gRYhvnUdhs3UahVznrq9rsMQdag+L2E+dyWbK+n5tG3uT2iQV419UJIkI5xWvr7+r60XDcuNOZn6VS4rKDTw+id7yLp+wqu3p44H+rVi3AOdqn1tVzh6GWROxuUoilLvJv6F0NTT1WUbfzlDVl4RL47uxbMjutOkkRff70lCUar/PgosI5n6/W+5fqdIcYuiYhNms1IvdvsLUao+lsuu5Ray/pfT3NGtKXdFtgBKDgz8ZP0RMnMKaeRfvZZIsrpMOKXSDsyyY17UJ/WxXLb6h5MUGcyMe6Cj5b5WTfwAOHclp9rXtyQZN021r1WXJMm4mLx61BxTiFJqVf0ql13JyOP7PecZ3Ldlmc3DpUnmfHLNJBk3ncZyoFt9Vb/HYeIWBdfb/HvLSEbUI2q1CrWqbspleXoDcz/fS/sWgcRGtyE48EaZK6+gmMJiEwBmRSE5PZ/Tl7LY9cdldFo1jw0ML3MtHy83ggM9OV8DI5mCQkO93+0PDk4ymzZtYsmSJRiNRsaPH8+YMWPKPL59+3YWL16Moig0b96c+fPn4+/vz4EDB5g3bx4Gg4FmzZrx7rvv4u/vz759+3j++ecJCwsDoFOnTsyfP9+Rb6HeKS2XeXvW/19O0bCo1WpMdXAy5m9HrpBw5ipHz17lm51n6NetKWZF4dTFLNIyC8p9TUiQF08P70ag36370Vo18eNccna143KF5pjgwCSTmprKwoULWbduHW5ubowaNYo+ffrQrl07APLy8pg9ezZr164lNDSUDz74gMWLFzNr1ixmzJjBkiVLaNeuHe+99x7/+c9/mDZtGgkJCUyYMIGnn37aUWHbTFEUPtt0lDt7NKPDbYF1HY6FlMtEfaXVqOpkJLP7jyuEBHkx75k7+GbXGbbvu4CvlxvtWwQQc3srfL1uHP8dEuhJ2+YBlR4J3qqJH/GJaRiMJnTaqs+nSJKxIi4ujr59+xIQEADA4MGD+f7773nuuecAMBgMvPHGG4SGhgIQHh7Opk2bANiyZQs6nQ6DwUBqairh4SVD0iNHjpCRkcHmzZtp1qwZb7zxBk2aNHHUW6hUZk4hG345Q3ZeEdNGR9ZJDOUpPUtGymWivtGoaz/J5BUU88epdGLvbEtokBcTh3XlyQe7VGtDZeum/pjNChdT82jTzL/K19EXGev9yjJwYJJJS0sjOPhGH6qQkBAOHz5suR0YGMjAgQMBKCwsZOnSpTz++OMA6HQ6Tpw4wd///ne0Wi3Tpk0DwNfXl5iYGAYNGsTKlSuZOnUqq1atsjmmhISECh+Lj4+36/2dTi4E4MCxZA4cOODwdii2xnfydEkt+ERiAjpN7bVosff7VxecPcaGHp9ZMZOSkkp8fHGVr2FvjIfO5mM0KTRyy6mx95efXfJB76e4P7jWxrvK8V3NzMHHU1OrvxeO+FoOSzJms7nMH15FUcr9Q5ybm8vkyZOJiIhg+PDhlvvDw8OJi4tj1apVlmTy5ptvWh5/7LHHeP/998nNzcXX17YWKl26dMHd3f2W++Pj44mMtG80cvGXM0AGuXoTTVtGOLQ9vT3xHUk+ik6bR9+/RDksnj+ryvevtjl7jBIfeGxKJ6hRY3r27I7BZMZNq7brw1tVYvz20G80DvDkwUF9a+yDoslkZtnWb8E9iMjILlWOT7VtO2EhAbX2e1FefEVFRZV+OLeFw9bGhYWFkZ6ebrmdnp5OSEhImeekpaUxevRowsPDmTt3LlDyprZv3255zoMPPsiJEycwm80sWbIEk8lU5hoaTd2sIb+QkoP2+kjh8OmMOomhPPmFRimViXpJq1WzbW8Sw17+hhHTNzP///ZjdmD5LF9v4OCJdO7o1rRGKxEajZrbwnyrvcLMVeZkHJZk+vXrx549e8jMzESv17Nt2zb69+9vedxkMjFp0iRiYmKYOXOm5Yes1WqZM2eOJXt+99139OrVC7VazQ8//MDWrVsB2LBhA927d8fLy8tRb6FSF1Jz6diqEUF+HhxxpiSjN8jKMlEv/X1oZ4YPaMeogeEM7tuSPUeSWf/z6XKfazYrfLL+ME/M/YEPVh3k1z+ukKs3kZ1XRHZeEUUGU7mvu9m+YykYTWbu6Na0pt8KrZv6V3uvjKskGYe9g9DQUKZOncq4ceMwGAyMGDGCbt26MXHiRKZMmUJKSgrHjh3DZDJZEkeXLl2YO3cuCxcu5PXXX8dkMhEaGmoZ5bz77ru89tprfPzxxwQFBbFgwQJHhV8pRVG4kJLLPVEtaOTvwaFT6RWWA2tbfqFBdvuLeunOHs24s0czoOTfWF6BgS+/O07nto2IaBlkeZ7JrLB4zUF27L9Il7aN2JOQzPb9F0oeXJ8MlDSV/GTGvbcceXElI4/gAE90Wg2//nGFRv4ehLes+dWhrZr48cO+C1zLLazSsRtms0JhsUmSjDWxsbHExsaWuW/ZsmUAdO3alcTExHJfFxUVxbp16265v3379nZN9DtKepYefZGR28J80WrU/Pz7JS6m5nJbmF9dh1bvDiwTojwqlYrnRvbg1KUs/t/yeD6Ydhc+njpMZoUPVx/kxwMXGT0onMcGR2AymUlMusbOvQm0aNGComITX3x7jK2/JTHqps2Suw5dZsGXB9Bq1LRt5s/ZK9ncf3srS9+0mtSq6fWd/1dyCAwvm2TSr+nZ/cflckuB3p467u19GwZjyUhMkkwDdSElF4DbQn1pHFCyO/jI6QynSDIFhQZLTELUZz6eOl4eG8n0j3bz1Lzt6LQqig1m8vQGxtwfYUkgGo2azm0aUXjNh8jIkuO7D5/JYMuv53j47vbotGrMZoWV207QLNiHPp3DOHHhGj6eOu6NauGQ2Fs1KVm6fO5KDj3Db8xFn7p4jTf/s5es3KIKX7v3aApPD+8K1P/mmCBJpkosSSbMD18vHcGBnhw+k8GQ6Lo/nz5fb5CJf+EyIloG8c/Ho9h7NAWNWoVWoya8ZSD39r6t0tfFRrdhzqe/8evhK9zVqzl7jiRzMTWXl8dG0r9nc4fH7eftRiN/D87ftPP/xCU96/73K/4+7ix+6W7CGt06n/zTgYv8f2sPk5GlB5C2Mg3VhdQcAnzdLbt+u7ZtzP5jqZjNikOG3vbI0xulXCZcSr9uTeln5+R8r/AQmgV7s3nXWfr3aMaqH0pGMXd0b+agKG/VqokfvyUkM3XRL6AonLmcTdvmAbz+RJ8K52li+rVGp9WweM1BwDVGMvW7vWcduZCSS8uwG3tzurVrTG5BMUkp1W+KVx0Go5ligwlvF/jFFKI61GoVQ6PbcOLCNZZ/f5zzyTmMvK+D5XC02jA0ug2d2zQmwMedAF8Perf3Yf4zd1hdCHDfX25j2uhI/H3caNrYu9Ln1gfy18hOJe0ichnYp6Xlvq7tGgPwweqD+Hq5UVRsQqUCN50Gd50GzU0779UqFW46DTqtGq1GjS2/8mnp1ziQdNjq8wzXmwvKSEYIuCeqBf/dcpyvd5yiSSNvBvSsvVEMQFTHUKI6hlpux8fH42Fj+WtAr+b079nMKVasVpckGTulZ+kpLDZxW+iNkUxIoBcDejbnQmoO+iIj7joNilKyzj07r6hMPyaTScFgNFFsNNvccdZoNKG9dMmm5wb6utOueYBd70kIV+TloWPgX27jm11neeTe9vXuXBZXSDAgScZuF66XxG4LK9vK5qWxjmv94OwtR4RwViPv60Ajfw/udtAqMmGdJBk73byyTAjh3Px93Pnr3e3rOowGrX6NH53AhdRcgvw88JF5DyGEsEqSjJ0upOTcUioTQghRPimXWaEoCvGJaaRfK8BgMnMhNQ/T1QRG/PAv/ve//9V1eNUyYsQIAKd8HzUVW+l1ZsyYUadxOOp6tWHEiBHk5uZaegzWdSxQv75/f+YK78EekmSsKCw2Mf//9lN8vaurSgWawtQ6jkoIIeoHSTJWeLpr+e8bgykymNBp1ei0asaO/rKuwxJCiHpBkowNvD11ssFRCCGqQCb+hRBCOIwkGSGEEA4jSUYIIYTDSJIRQgjhMJJkhBBCOIwkGSGEEA7TIJYwK0pJq/3i4uIKn1NUVPGZ23/m7+9v92uqyxFfqybfR03HV1OxlV6nqteq6Z91Zderzd8ne/j7+6PRaJwiPms/D2eIsTJFRUV18vfDVn+OqfRvZunf0KpQKdV5dT2Rm5vLyZMn6zoMIYSolzp06ICvb9V6NjaIJGM2m8nPz0en07nMQUBCCOFoiqJgMBjw9vZGra7a7EqDSDJCCCHqhkz8CyGEcBhJMkIIIRxGkowQQgiHkSQjhBDCYSTJCCGEcBhJMkIIIRxGkowQQgiHadBJZtOmTTzwwAMMGjSIFStW1OrX/uijjxgyZAhDhgxhwYIFAMTFxREbG8ugQYNYuHCh5bnHjx/nr3/9K4MHD2bmzJkYjUYArly5wpgxY7j//vt55plnyM/Pr/E43333XaZPn+6U8f3444/89a9/JSYmhrffftvpYty4caPlZ/zuu+86TXx5eXkMHTqUS5cu1WhMOTk5PPXUU8TExDBmzBjS09NrJL7Vq1czdOhQYmNjmTFjhqXVSV3FV16MpZYvX87jjz9uue0s38ODBw8ycuRIhgwZwrRp02r3e6g0UCkpKcrdd9+tXLt2TcnPz1diY2OVU6dO1crX/vXXX5VHH31UKSoqUoqLi5Vx48YpmzZtUgYMGKBcuHBBMRgMyoQJE5Sff/5ZURRFGTJkiHLw4EFFURRlxowZyooVKxRFUZSnnnpK2bx5s6IoivLRRx8pCxYsqNE44+LilD59+iivvPKKotfrnSq+CxcuKNHR0UpycrJSXFysPPbYY8rPP//sNDEWFBQovXv3Vq5evaoYDAZlxIgRyo4dO+o8vkOHDilDhw5VOnfurFy8eLFGf65z5sxRPvnkE0VRFGX9+vXKCy+8UO34zp49qwwcOFDJzc1VzGaz8s9//lP5/PPP6yy+8mIsderUKeXOO+9Uxo4da7nPGb6Hubm5yh133KEcP35cURRFmTp1qiWO2oivwSaZdevWKTNmzLDc/uijj5TFixfXytc+efKk5QerKCU/uMWLFyvjxo2z3Ld+/Xpl+vTpyqVLl5R7773Xcv/+/fuVxx9/XCkuLlZ69uypGAwGRVEU5cqVK8o999xTYzFeu3ZNeeSRR5TPP/9ceeWVV5S9e/c6VXz/+c9/lHnz5llup6SkOFWMubm5SmRkpHLp0iVFr9crDz30kFPE9+qrryr79+9X7r77buXixYs1GtPdd9+tXLlyRVEURTEYDErPnj2V4uLiasV36dIlZffu3ZbHP/30U2Xu3Ll1Fl95MSqKohQVFSmPPfaY8vXXX1uSjLN8D7///ntl8uTJlsevXr2qpKWl1Vp8DaILc3nS0tIIDg623A4JCeHw4cO18rXbt29v+f/z58/z3XffMXbs2FviSU1NvSXO4OBgUlNTuXbtGj4+Pmi12jL315TXX3+dqVOnkpycDJT//arL+JKSktDpdEyaNInk5GTuuusu2rdv7zQx+vj48MILLxATE4Onpye9e/d2iu/h3Llzy9yuyZhufo1Wq8XHx4fMzExCQ0OrHF+zZs1o1qwZAJmZmaxYsYL58+fXWXzlxQjw/vvv8/DDD9O8eXPLfc7yPUxKSsLLy4upU6dy9uxZevXqxfTp0zl27FitxNdg52TMZnOZZpmKotR688xTp04xYcIE/vnPf9KiRYty46kozvLiran4v/76a5o0acLtt99uua+iOOoiPgCTycSePXuYN28eq1ev5vDhw1y8eNFpYkxMTGTt2rX89NNP7Nq1C7Vazfnz550mvlKO/LkqilLlpop/lpqayvjx43n44Yfp06ePU8X366+/kpyczMMPP1zmfmeJ0WQysXv3bqZNm8a6devQ6/UsXbq01uJrsEkmLCyszKRVeno6ISEhtfb14+Pj+dvf/saLL77I8OHDK4znz/dnZGQQEhJCUFAQubm5mEymGo9/y5Yt/PrrrwwbNowPP/yQH3/8ka+//tpp4gNo3Lgxt99+O0FBQXh4eHDfffcRFxfnNDHu3r2b22+/nUaNGuHm5sZf//pX9u7d6zTxlarJ37uQkBAyMjIAMBqN5OfnExAQUO0Yz5w5w6hRoxg+fDiTJ08uN+66jG/z5s2cOnWKYcOGMWvWLBISEvjHP/7hNDE2btyY7t2706JFCzQaDTExMRw+fLjW4muwSaZfv37s2bOHzMxM9Ho927Zto3///rXytZOTk5k8eTLvvfceQ4YMAaB79+6cO3eOpKQkTCYTmzdvpn///jRr1gx3d3fi4+OBkhVL/fv3R6fTERUVxZYtWwDYsGFDjcX/+eefs3nzZjZu3MiUKVO45557+PTTT50mPoC7776b3bt3k5OTg8lkYteuXdx///1OE2NERARxcXEUFBSgKAo//vijU/2MS9VkTAMGDGDDhg1AyQeVqKgodDpdteLLy8vjiSee4IUXXmDChAmW+50lPoD58+fz3XffsXHjRt5++226dOnCokWLnCbG6Ohojh49ail9//TTT3Tu3Ln24rNrRsnFfPPNN8qQIUOUQYMGKUuXLq21r/vWW28pPXr0UB588EHLf1999ZUSFxenxMbGKoMGDVLmzp2rmM1mRVEU5fjx48rDDz+sDB48WJk2bZpSVFSkKErJxOLYsWOVmJgYZcKECUpWVlaNx7p27VrllVdeURRFcbr4vv76a8vPb86cOYrJZHKqGD/55BNl8ODBytChQ5UZM2YohYWFThPfzZPWNRXTtWvXlKefflp54IEHlEcffbTMyquqxvf5558rnTt3LvNvZdGiRXUe380x3uy3334rs7rMGb6HiqIoP/30k/Lggw8qgwcPVv7xj38oBQUFtRafnCcjhBDCYRpsuUwIIYTjSZIRQgjhMJJkhBBCOIwkGSGEEA4jSUYIIYTDSJIRopYdPnyY119/vcavO336dP7zn/9U+pwdO3ZYOlYLURsabO8yIerK6dOna7SPmz3uvfde7r333jr52qJhkiQjGoy9e/fy3nvv0bRpU86ePYuHhwfvvPMOy5YtIysri4sXL3LXXXcxadIk5syZQ2JiIiqVijvvvJNp06ah1Wrp1KkTEydOZNeuXRQUFDBt2jQGDRoElPR8W7lyJWazmYCAAF577TXatm3L9OnTLdfv3r07cXFx5ObmMmPGDDQaDY0aNWLq1KlAya7rbdu28fHHH1f4PvLz83n77bf5/fff0Wg03HfffZbXl/rf//7H6tWrMRgMZGdnM3HiREaPHs26devYunUrn3zyCY8//jidO3fm0KFDZGZmMnLkSDIyMti3bx96vZ5FixYRHh7uuB+IaBAkyYgGJSEhgVdeeYWoqChWrlzJyy+/TIcOHSgsLOTbb78F4JVXXiEgIIBNmzZhMBh45pln+Oyzz3jqqacwmUx4enqybt06EhMTGTt2LFFRUZw+fZoNGzawYsUKPD092b17N8899xzfffcdQJnrl/6hnz9/PsePH2fixIk8//zzaLVa1qxZw6RJkyp9Dx9++CFFRUVs2bIFk8nEhAkT2Ldvn+Xx/Px8vv76a5YuXUpgYCCHDh3i73//O6NHj77lWpcvX2bVqlX88ccfjBw5kiVLljB9+nTmzZvH8uXLeeutt2rqWy8aKEkyokGJiIggKioKgIcffpg333yTkJAQIiMjLc/ZuXMnK1euRKVS4ebmxqhRo/i///s/nnrqKQDGjh1ruVaHDh3Yv38/f/zxB0lJSYwaNcpynZycHLKysgDKXP9mHTt2pHnz5vz888+0bt2atLQ0oqOjK30PcXFxllGQRqNh+fLlAKxfvx4Ab29v/v3vf/PLL79w/vx5EhMTKSgoKPdaAwcOBKBFixYA3HnnnQDcdtttZRKXEFUlSUY0KBqN5pb71Go1Xl5eltt/boFuNpstx9L++RpmsxmNRoPZbGbYsGG8/PLLlvvT0tLw9/cHKHP9PxszZgxr166lVatWjBw50mo7f61WW+Y5ycnJeHh4WG6npKTw6KOPMnLkSCIjI7n//vv56aefyr2Wm5tbmds10TBSiJvJ6jLRoCQmJpKYmAiUnB3fs2dP/Pz8yjwnOjqa5cuXoygKxcXFrFmzhn79+lkeL+1Ce/ToUc6dO0fv3r2Jjo7m22+/JS0tDYCVK1cyfvz4cmPQaDRlktbgwYM5fvw4W7duveVMkvLcfvvtrF+/HrPZTHFxMVOmTGH//v2WxxMSEggKCuLZZ58lOjrakmBKW7cLUZskyYgGpXHjxixatIjY2Fi2b9/OggULbnnOrFmzyMzMJDY2ltjYWFq3bl1mnuT3339n+PDhvPrqqyxcuBB/f3+io6OZOHEiEyZMIDY2ls2bN/PRRx+VOyrp0aMHFy9e5LnnngNKRhODBw+mZ8+eBAUFWX0Pzz33HDqdjmHDhvHQQw8xYMAAy+IDgDvuuIPQ0FDuv/9+YmJiSE5OJigoiKSkpKp8y4SoFunCLBqMvXv38tZbb7F58+YqXyM8PJw9e/bYlAxsVVBQwNixY3n99dfp0aNHjV1XCGcgczJC1KFdu3bx4osv8thjj1kSzNmzZ29ZklyqdevWLFq0qPYCFKKaZCQjhBDCYWRORgghhMNIkhFCCOEwkmSEEEI4jCQZIYQQDiNJRgghhMNIkhFCCOEw/z8awnEPTuopHwAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names)" ] }, { "cell_type": "markdown", "metadata": { "id": "sY0PABD0bmVR" }, "source": [ "## ICEs" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ryPlAiIWbmVl", "outputId": "1a855aed-d1f7-4351-a614-24ff3983fa6f" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names, kind='both')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "HAy2hczybmVm", "outputId": "da33f7a9-7ad2-43e7-f904-0908a043e90b" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(rf_pipeline, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(rf_pipeline, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(rf_pipeline, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names, kind='both')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "gxM_cM_ObmVm", "outputId": "a7bee467-c5ff-4c66-8fef-f2f43c7edef1" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names, kind='both')" ] }, { "cell_type": "markdown", "metadata": { "id": "JXNmExLslkVL" }, "source": [ "# Transparent Model Interpretation" ] }, { "cell_type": "markdown", "metadata": { "id": "oK1h5FCMlq65" }, "source": [ "## Model Decision Tree\n", "- Tree Rules\n", "- Plot Tree" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "-Nh9v6V0NSKP" }, "outputs": [], "source": [ "model_dt = DecisionTreeClassifier(criterion='entropy',max_depth=9, min_samples_leaf=50, min_samples_split=50)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "uhbjWBEwwbZJ", "outputId": "4c3e54a9-940c-4b1d-99f8-fa2253227466" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "|--- feature_126 <= 0.30\n", "| |--- feature_97 <= 0.25\n", "| | |--- feature_98 <= 0.21\n", "| | | |--- feature_1174 <= 0.17\n", "| | | | |--- feature_1156 <= 0.50\n", "| | | | | |--- class: 0\n", "| | | | |--- feature_1156 > 0.50\n", "| | | | | |--- class: 0\n", "| | | |--- feature_1174 > 0.17\n", "| | | | |--- feature_124 <= 0.50\n", "| | | | | |--- feature_1168 <= 0.23\n", "| | | | | | |--- feature_1167 <= 0.42\n", "| | | | | | | |--- feature_1165 <= 0.44\n", "| | | | | | | | |--- class: 0\n", "| | | | | | | |--- feature_1165 > 0.44\n", "| | | | | | | | |--- feature_1179 <= 0.53\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | | |--- feature_1179 > 0.53\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | |--- feature_1167 > 0.42\n", "| | | | | | | |--- class: 0\n", "| | | | | |--- feature_1168 > 0.23\n", "| | | | | | |--- feature_1167 <= 0.46\n", "| | | | | | | |--- class: 0\n", "| | | | | | |--- feature_1167 > 0.46\n", "| | | | | | | |--- feature_1171 <= 0.28\n", "| | | | | | | | |--- feature_1166 <= 0.17\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_1166 > 0.17\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | |--- feature_1171 > 0.28\n", "| | | | | | | | |--- feature_111 <= 0.50\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_111 > 0.50\n", "| | | | | | | | | |--- class: 1\n", "| | | | |--- feature_124 > 0.50\n", "| | | | | |--- feature_1165 <= 0.25\n", "| | | | | | |--- feature_1179 <= 0.42\n", "| | | | | | | |--- class: 0\n", "| | | | | | |--- feature_1179 > 0.42\n", "| | | | | | | |--- feature_1165 <= 0.23\n", "| | | | | | | | |--- feature_1175 <= 0.52\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_1175 > 0.52\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | |--- feature_1165 > 0.23\n", "| | | | | | | | |--- class: 1\n", "| | | | | |--- feature_1165 > 0.25\n", "| | | | | | |--- feature_1174 <= 0.50\n", "| | | | | | | |--- class: 0\n", "| | | | | | |--- feature_1174 > 0.50\n", "| | | | | | | |--- feature_1171 <= 0.72\n", "| | | | | | | | |--- feature_1171 <= 0.67\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_1171 > 0.67\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | |--- feature_1171 > 0.72\n", "| | | | | | | | |--- class: 0\n", "| | |--- feature_98 > 0.21\n", "| | | |--- feature_1168 <= 0.23\n", "| | | | |--- feature_1143 <= 0.12\n", "| | | | | |--- feature_1168 <= 0.11\n", "| | | | | | |--- class: 1\n", "| | | | | |--- feature_1168 > 0.11\n", "| | | | | | |--- class: 1\n", "| | | | |--- feature_1143 > 0.12\n", "| | | | | |--- class: 1\n", "| | | |--- feature_1168 > 0.23\n", "| | | | |--- class: 1\n", "| |--- feature_97 > 0.25\n", "| | |--- feature_1177 <= 0.43\n", "| | | |--- class: 1\n", "| | |--- feature_1177 > 0.43\n", "| | | |--- feature_1147 <= 0.50\n", "| | | | |--- class: 1\n", "| | | |--- feature_1147 > 0.50\n", "| | | | |--- class: 0\n", "|--- feature_126 > 0.30\n", "| |--- feature_1168 <= 0.13\n", "| | |--- feature_1179 <= 0.23\n", "| | | |--- feature_1149 <= 0.50\n", "| | | | |--- class: 0\n", "| | | |--- feature_1149 > 0.50\n", "| | | | |--- class: 1\n", "| | |--- feature_1179 > 0.23\n", "| | | |--- feature_1177 <= 0.23\n", "| | | | |--- feature_1167 <= 0.38\n", "| | | | | |--- class: 1\n", "| | | | |--- feature_1167 > 0.38\n", "| | | | | |--- class: 0\n", "| | | |--- feature_1177 > 0.23\n", "| | | | |--- feature_113 <= 0.50\n", "| | | | | |--- feature_1177 <= 0.25\n", "| | | | | | |--- class: 1\n", "| | | | | |--- feature_1177 > 0.25\n", "| | | | | | |--- feature_1170 <= 0.53\n", "| | | | | | | |--- class: 0\n", "| | | | | | |--- feature_1170 > 0.53\n", "| | | | | | | |--- feature_114 <= 0.50\n", "| | | | | | | | |--- feature_1165 <= 0.19\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | | |--- feature_1165 > 0.19\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | |--- feature_114 > 0.50\n", "| | | | | | | | |--- class: 1\n", "| | | | |--- feature_113 > 0.50\n", "| | | | | |--- class: 1\n", "| |--- feature_1168 > 0.13\n", "| | |--- feature_1168 <= 0.94\n", "| | | |--- feature_130 <= 0.92\n", "| | | | |--- feature_1179 <= 0.69\n", "| | | | | |--- feature_105 <= 0.50\n", "| | | | | | |--- feature_1178 <= 0.43\n", "| | | | | | | |--- feature_1167 <= 0.50\n", "| | | | | | | | |--- class: 1\n", "| | | | | | | |--- feature_1167 > 0.50\n", "| | | | | | | | |--- class: 1\n", "| | | | | | |--- feature_1178 > 0.43\n", "| | | | | | | |--- feature_135 <= 0.50\n", "| | | | | | | | |--- feature_95 <= 0.50\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | | |--- feature_95 > 0.50\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | |--- feature_135 > 0.50\n", "| | | | | | | | |--- feature_1177 <= 0.42\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | | |--- feature_1177 > 0.42\n", "| | | | | | | | | |--- class: 1\n", "| | | | | |--- feature_105 > 0.50\n", "| | | | | | |--- class: 1\n", "| | | | |--- feature_1179 > 0.69\n", "| | | | | |--- feature_1178 <= 0.52\n", "| | | | | | |--- feature_1170 <= 0.49\n", "| | | | | | | |--- class: 1\n", "| | | | | | |--- feature_1170 > 0.49\n", "| | | | | | | |--- class: 1\n", "| | | | | |--- feature_1178 > 0.52\n", "| | | | | | |--- feature_94 <= 0.50\n", "| | | | | | | |--- feature_1169 <= 0.33\n", "| | | | | | | | |--- class: 0\n", "| | | | | | | |--- feature_1169 > 0.33\n", "| | | | | | | | |--- feature_141 <= 0.50\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | | |--- feature_141 > 0.50\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | |--- feature_94 > 0.50\n", "| | | | | | | |--- class: 1\n", "| | | |--- feature_130 > 0.92\n", "| | | | |--- feature_1166 <= 0.67\n", "| | | | | |--- feature_1177 <= 0.29\n", "| | | | | | |--- feature_1179 <= 0.53\n", "| | | | | | | |--- class: 1\n", "| | | | | | |--- feature_1179 > 0.53\n", "| | | | | | | |--- class: 0\n", "| | | | | |--- feature_1177 > 0.29\n", "| | | | | | |--- feature_1174 <= 0.75\n", "| | | | | | | |--- feature_114 <= 0.50\n", "| | | | | | | | |--- class: 0\n", "| | | | | | | |--- feature_114 > 0.50\n", "| | | | | | | | |--- class: 1\n", "| | | | | | |--- feature_1174 > 0.75\n", "| | | | | | | |--- class: 1\n", "| | | | |--- feature_1166 > 0.67\n", "| | | | | |--- feature_1145 <= 0.50\n", "| | | | | | |--- class: 1\n", "| | | | | |--- feature_1145 > 0.50\n", "| | | | | | |--- class: 1\n", "| | |--- feature_1168 > 0.94\n", "| | | |--- feature_1175 <= 0.42\n", "| | | | |--- class: 1\n", "| | | |--- feature_1175 > 0.42\n", "| | | | |--- feature_1167 <= 0.49\n", "| | | | | |--- feature_1165 <= 0.34\n", "| | | | | | |--- class: 1\n", "| | | | | |--- feature_1165 > 0.34\n", "| | | | | | |--- class: 0\n", "| | | | |--- feature_1167 > 0.49\n", "| | | | | |--- feature_1167 <= 0.64\n", "| | | | | | |--- feature_1168 <= 0.96\n", "| | | | | | | |--- class: 1\n", "| | | | | | |--- feature_1168 > 0.96\n", "| | | | | | | |--- class: 1\n", "| | | | | |--- feature_1167 > 0.64\n", "| | | | | | |--- feature_1176 <= 0.50\n", "| | | | | | | |--- class: 0\n", "| | | | | | |--- feature_1176 > 0.50\n", "| | | | | | | |--- class: 1\n", "\n" ] } ], "source": [ "# Show The Rule from Model\n", "\n", "model_dt.fit(x_smote, y_smote)\n", "\n", "rule = export_text(model_dt)\n", "print(rule)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "_MaBcbKQmEE_", "outputId": "6ae688bb-50dd-4f45-fa4c-46ef5b06017c" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(64,64))\n", "plot_tree(model_dt, fontsize=12, proportion=True,class_names=['No', 'Yes'])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "Mre8iQ7clsHj" }, "source": [ "## Model Approximating XGBoost\n", "- Tree Rules\n", "- Decision Path" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "NrrcPxvml-6x" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "|--- incident_severity_Major Damage >= 0.604346037\n", "| |--- auto_make_Ford >= 0.585288405\n", "| | |--- Gender_Female >= 0.441138923\n", "| | | |--- Gender_Male >= 0.854488075\n", "| | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.0874073133\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- months_as_customer >= 0.427974939\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.427974939\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.0874073133\n", "| | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | |--- insured_relationship_other-relative >= 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_other-relative < 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | |--- Hours_Week >= 0.350267142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.350267142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | |--- incident_city_Northbend >= 0.159470797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_city_Northbend < 0.159470797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- capital_loss < 0.800180018\n", "| | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | |--- insured_zip >= 0.238926321\n", "| | | | | | | | |--- insured_zip >= 0.938986063\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.938986063\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- insured_zip < 0.238926321\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.0874073133\n", "| | | | | | | | | |--- total_claim_amount >= 0.48684898\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- total_claim_amount < 0.48684898\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.0874073133\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | |--- months_as_customer >= 0.486430049\n", "| | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | |--- authorities_contacted_Other >= 0.0369084254\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- authorities_contacted_Other < 0.0369084254\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- months_as_customer < 0.486430049\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | |--- insured_relationship_other-relative >= 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_other-relative < 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | |--- property_claim >= 0.41233629\n", "| | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | |--- total_claim_amount >= 0.658334792\n", "| | | | | | | | |--- Education_Bachelors >= 0.00473549357\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_Bachelors < 0.00473549357\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.284195065\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.284195065\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- total_claim_amount < 0.658334792\n", "| | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | |--- months_as_customer >= 0.463465542\n", "| | | | | | | | |--- capital_gains >= 0.518407941\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- capital_gains < 0.518407941\n", "| | | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- months_as_customer < 0.463465542\n", "| | | | | | | | |--- Education_Some-college >= 0.995290279\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_Some-college < 0.995290279\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- property_claim < 0.41233629\n", "| | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | |--- vehicle_claim >= 0.588250101\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- vehicle_claim < 0.588250101\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | |--- Education_Bachelors >= 0.00473549357\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Education_Bachelors < 0.00473549357\n", "| | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- Gender_Male < 0.854488075\n", "| | | | |--- Gender_Female >= 0.656353295\n", "| | | | | |--- Gender_Female >= 0.737377346\n", "| | | | | | |--- Gender_Female >= 0.767785668\n", "| | | | | | | |--- Gender_Female >= 0.798358083\n", "| | | | | | | | |--- Gender_Female >= 0.80659759\n", "| | | | | | | | | |--- Gender_Female >= 0.863094747\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.863094747\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Gender_Female < 0.80659759\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Gender_Female < 0.798358083\n", "| | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Gender_Female < 0.767785668\n", "| | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | |--- property_claim >= 0.425010562\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- property_claim < 0.425010562\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | | | |--- capital_gains >= 0.383084565\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_gains < 0.383084565\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Gender_Female < 0.737377346\n", "| | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | |--- months_as_customer >= 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | |--- Work_Private >= 0.926854134\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.926854134\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | |--- property_claim >= 0.41233629\n", "| | | | | | | | |--- insured_zip >= 0.177561328\n", "| | | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.177561328\n", "| | | | | | | | | |--- months_as_customer >= 0.463465542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.463465542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- property_claim < 0.41233629\n", "| | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | |--- vehicle_claim >= 0.596175611\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- vehicle_claim < 0.596175611\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | |--- Education_Bachelors >= 0.00473549357\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Bachelors < 0.00473549357\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Gender_Female < 0.656353295\n", "| | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | |--- insured_zip >= 0.899082065\n", "| | | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.899082065\n", "| | | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | |--- insured_relationship_other-relative >= 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_other-relative < 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | |--- Occupation_Adm-clerical >= 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Adm-clerical < 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | |--- policy_annual_premium >= 0.349918842\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.349918842\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | |--- Occupation_Prof-specialty >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Prof-specialty < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | | |--- incident_hour_of_the_day >= 0.707569122\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- incident_hour_of_the_day < 0.707569122\n", "| | | | | | | | | |--- Hours_Week >= 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | |--- Occupation_Exec-managerial >= 0.00526518421\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Exec-managerial < 0.00526518421\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | |--- Gender_Female < 0.441138923\n", "| | | |--- Gender_Female >= 0.269390345\n", "| | | | |--- capital_loss >= 0.800180018\n", "| | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | |--- months_as_customer >= 0.427974939\n", "| | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | |--- authorities_contacted_Other >= 0.0369084254\n", "| | | | | | | | | |--- insured_hobbies_board-games >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_hobbies_board-games < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- authorities_contacted_Other < 0.0369084254\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Occupation_Prof-specialty >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Prof-specialty < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- months_as_customer < 0.427974939\n", "| | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | |--- Hours_Week >= 0.43877551\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.43877551\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | |--- Education_HS-grad >= 0.997724235\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.997724235\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | |--- capital_gains >= 0.238805965\n", "| | | | | | | |--- insured_relationship_other-relative >= 0.164474666\n", "| | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | |--- Occupation_Prof-specialty >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Prof-specialty < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- insured_relationship_other-relative < 0.164474666\n", "| | | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- capital_gains < 0.238805965\n", "| | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | |--- policy_annual_premium >= 0.422447443\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.422447443\n", "| | | | | | | | | |--- Work_Private >= 0.82427001\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.82427001\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | |--- months_as_customer >= 0.373695195\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.373695195\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- capital_loss < 0.800180018\n", "| | | | | |--- months_as_customer >= 0.486430049\n", "| | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.0874073133\n", "| | | | | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.0874073133\n", "| | | | | | | | | |--- Occupation_Adm-clerical >= 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Adm-clerical < 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | |--- insured_zip >= 0.922361135\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.922361135\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | |--- vehicle_claim >= 0.550383687\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- vehicle_claim < 0.550383687\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- months_as_customer < 0.486430049\n", "| | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.995290279\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.995290279\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.112679541\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.112679541\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- Occupation_Sales >= 0.00164178468\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Sales < 0.00164178468\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- authorities_contacted_Fire >= 0.0441003181\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- authorities_contacted_Fire < 0.0441003181\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- Gender_Female < 0.269390345\n", "| | | | |--- Gender_Female >= 0.111299947\n", "| | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | |--- insured_zip >= 0.899082065\n", "| | | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.899082065\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.0874073133\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.0874073133\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | |--- Occupation_Adm-clerical >= 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Adm-clerical < 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | |--- policy_annual_premium >= 0.349918842\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.349918842\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | |--- policy_annual_premium >= 0.349918842\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.349918842\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | |--- Occupation_Prof-specialty >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Prof-specialty < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | | |--- incident_hour_of_the_day >= 0.707569122\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- incident_hour_of_the_day < 0.707569122\n", "| | | | | | | | | |--- Hours_Week >= 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | |--- Occupation_Exec-managerial >= 0.00526518421\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Exec-managerial < 0.00526518421\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Gender_Female < 0.111299947\n", "| | | | | |--- Gender_Female >= 0.0794363841\n", "| | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | |--- months_as_customer >= 0.486430049\n", "| | | | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.486430049\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | |--- capital_loss >= 0.811881185\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_loss < 0.811881185\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- capital_gains >= 0.367164165\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_gains < 0.367164165\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Hours_Week >= 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Gender_Female < 0.0794363841\n", "| | | | | | |--- Gender_Female >= 0.0286501404\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | | |--- months_as_customer >= 0.486430049\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.486430049\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Gender_Female < 0.0286501404\n", "| | | | | | | |--- Gender_Female >= 0.0174525566\n", "| | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Gender_Female < 0.0174525566\n", "| | | | | | | | |--- bodily_injuries >= 0.700770795\n", "| | | | | | | | | |--- auto_make_Volkswagen >= 0.504361689\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- auto_make_Volkswagen < 0.504361689\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- bodily_injuries < 0.700770795\n", "| | | | | | | | | |--- incident_city_Hillsdale >= 0.632413864\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_city_Hillsdale < 0.632413864\n", "| | | | | | | | | | |--- Class: 1\n", "| |--- auto_make_Ford < 0.585288405\n", "| | |--- insured_relationship_not-in-family >= 0.835415781\n", "| | | |--- Gender_Female >= 0.441138923\n", "| | | | |--- Gender_Male >= 0.854488075\n", "| | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | |--- policy_annual_premium >= 0.572144508\n", "| | | | | | | | |--- months_as_customer >= 0.486430049\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.486430049\n", "| | | | | | | | | |--- Occupation_Adm-clerical >= 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Adm-clerical < 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- policy_annual_premium < 0.572144508\n", "| | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | |--- months_as_customer >= 0.250521928\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.250521928\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | |--- capital_gains >= 0.104727089\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_gains < 0.104727089\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | |--- months_as_customer >= 0.306889355\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | |--- capital_loss >= 0.721872211\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_loss < 0.721872211\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | |--- Occupation_Adm-clerical >= 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Adm-clerical < 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- months_as_customer < 0.306889355\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- capital_loss >= 0.596759677\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_loss < 0.596759677\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- policy_annual_premium >= 0.349918842\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.349918842\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | |--- vehicle_claim >= 0.631148577\n", "| | | | | | | | |--- insured_zip >= 0.234698042\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.234698042\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- vehicle_claim < 0.631148577\n", "| | | | | | | | |--- Occupation_Adm-clerical >= 0.00180962542\n", "| | | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Occupation_Adm-clerical < 0.00180962542\n", "| | | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Gender_Male < 0.854488075\n", "| | | | | |--- Gender_Female >= 0.656353295\n", "| | | | | | |--- Gender_Female >= 0.659906507\n", "| | | | | | | |--- Gender_Female >= 0.737377346\n", "| | | | | | | | |--- Gender_Female >= 0.798358083\n", "| | | | | | | | | |--- Gender_Female >= 0.80659759\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.80659759\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Gender_Female < 0.798358083\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Gender_Female < 0.737377346\n", "| | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Gender_Female < 0.659906507\n", "| | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | | |--- months_as_customer >= 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Gender_Female < 0.656353295\n", "| | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | | | |--- policy_annual_premium >= 0.589316487\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.589316487\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | |--- property_claim >= 0.31347698\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- property_claim < 0.31347698\n", "| | | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | |--- incident_hour_of_the_day >= 0.707569122\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_hour_of_the_day < 0.707569122\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | | | |--- insured_zip >= 0.177561328\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.177561328\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- Gender_Female < 0.441138923\n", "| | | | |--- Gender_Female >= 0.271223187\n", "| | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | |--- policy_annual_premium >= 0.487765282\n", "| | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | |--- policy_annual_premium >= 0.605831802\n", "| | | | | | | | | |--- Hours_Week >= 0.43877551\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.43877551\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.605831802\n", "| | | | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- policy_annual_premium < 0.487765282\n", "| | | | | | | |--- capital_loss >= 0.781278133\n", "| | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- capital_loss < 0.781278133\n", "| | | | | | | | |--- months_as_customer >= 0.463465542\n", "| | | | | | | | | |--- Occupation_Adm-clerical >= 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Adm-clerical < 0.00180962542\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.463465542\n", "| | | | | | | | | |--- incident_city_Arlington >= 0.208266437\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_city_Arlington < 0.208266437\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | |--- incident_hour_of_the_day >= 0.707569122\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- incident_hour_of_the_day < 0.707569122\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- insured_relationship_other-relative >= 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_other-relative < 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | |--- authorities_contacted_Other >= 0.0369084254\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- authorities_contacted_Other < 0.0369084254\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | | |--- insured_zip >= 0.177561328\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.177561328\n", "| | | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Gender_Female < 0.271223187\n", "| | | | | |--- Gender_Female >= 0.269390345\n", "| | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | |--- policy_annual_premium >= 0.493991047\n", "| | | | | | | | |--- policy_annual_premium >= 0.572144508\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.572144508\n", "| | | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- policy_annual_premium < 0.493991047\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Education_HS-grad >= 0.997724235\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.997724235\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- months_as_customer >= 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | |--- incident_hour_of_the_day >= 0.707569122\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_hour_of_the_day < 0.707569122\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | | | |--- police_report_available_NaN >= 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- police_report_available_NaN < 0.997111678\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | | | |--- insured_zip >= 0.177561328\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.177561328\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Gender_Female < 0.269390345\n", "| | | | | | |--- Gender_Female >= 0.111299947\n", "| | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | |--- policy_annual_premium >= 0.487765282\n", "| | | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.487765282\n", "| | | | | | | | | |--- capital_loss >= 0.781278133\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_loss < 0.781278133\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | |--- property_claim >= 0.444444448\n", "| | | | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- property_claim < 0.444444448\n", "| | | | | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Gender_Female < 0.111299947\n", "| | | | | | | |--- Gender_Female >= 0.0794363841\n", "| | | | | | | | |--- property_claim >= 0.41233629\n", "| | | | | | | | | |--- months_as_customer >= 0.417536527\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.417536527\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- property_claim < 0.41233629\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Gender_Female < 0.0794363841\n", "| | | | | | | | |--- Gender_Female >= 0.0286501404\n", "| | | | | | | | | |--- property_claim >= 0.41233629\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- property_claim < 0.41233629\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Gender_Female < 0.0286501404\n", "| | | | | | | | | |--- Gender_Female >= 0.0174525566\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.0174525566\n", "| | | | | | | | | | |--- Class: 1\n", "| | |--- insured_relationship_not-in-family < 0.835415781\n", "| | | |--- Education_HS-grad >= 0.476731628\n", "| | | | |--- Education_HS-grad >= 0.833324373\n", "| | | | | |--- Education_HS-grad >= 0.849875867\n", "| | | | | | |--- Education_HS-grad >= 0.860226214\n", "| | | | | | | |--- Education_HS-grad >= 0.865624487\n", "| | | | | | | | |--- Education_HS-grad >= 0.892477453\n", "| | | | | | | | | |--- Education_HS-grad >= 0.9170596\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.9170596\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.892477453\n", "| | | | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Education_HS-grad < 0.865624487\n", "| | | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.860226214\n", "| | | | | | | |--- capital_loss >= 0.781278133\n", "| | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | |--- Hours_Week >= 0.418367356\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.418367356\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- capital_loss < 0.781278133\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.0874073133\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.0874073133\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | |--- auto_year >= 0.5\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- auto_year < 0.5\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Education_HS-grad < 0.849875867\n", "| | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | |--- months_as_customer >= 0.30271399\n", "| | | | | | | | | |--- capital_gains >= 0.383084565\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_gains < 0.383084565\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.30271399\n", "| | | | | | | | | |--- insured_zip >= 0.216647983\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.216647983\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | |--- total_claim_amount >= 0.512976825\n", "| | | | | | | | | |--- months_as_customer >= 0.427974939\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.427974939\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- total_claim_amount < 0.512976825\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.0874073133\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.0874073133\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | |--- auto_year >= 0.5\n", "| | | | | | | | | |--- policy_annual_premium >= 0.572144508\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.572144508\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- auto_year < 0.5\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Education_HS-grad < 0.833324373\n", "| | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | |--- months_as_customer >= 0.30271399\n", "| | | | | | | | |--- capital_gains >= 0.383084565\n", "| | | | | | | | | |--- capital_gains >= 0.583084583\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_gains < 0.583084583\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- capital_gains < 0.383084565\n", "| | | | | | | | | |--- total_claim_amount >= 0.48684898\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- total_claim_amount < 0.48684898\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- months_as_customer < 0.30271399\n", "| | | | | | | | |--- total_claim_amount >= 0.512976825\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- total_claim_amount < 0.512976825\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | |--- total_claim_amount >= 0.512976825\n", "| | | | | | | | |--- months_as_customer >= 0.427974939\n", "| | | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.427974939\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- total_claim_amount < 0.512976825\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | |--- Occupation_Craft-repair >= 0.00773198577\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Craft-repair < 0.00773198577\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- capital_loss < 0.800180018\n", "| | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.107355513\n", "| | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | |--- incident_hour_of_the_day >= 0.739130437\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_hour_of_the_day < 0.739130437\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.107355513\n", "| | | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | | |--- capital_gains >= 0.383084565\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_gains < 0.383084565\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | |--- Occupation_Exec-managerial >= 0.00526518421\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Occupation_Exec-managerial < 0.00526518421\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- policy_annual_premium >= 0.454208106\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- policy_annual_premium < 0.454208106\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- Education_HS-grad < 0.476731628\n", "| | | | |--- Education_HS-grad >= 0.29376474\n", "| | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | |--- months_as_customer >= 0.30271399\n", "| | | | | | | | |--- capital_gains >= 0.383084565\n", "| | | | | | | | | |--- capital_gains >= 0.583084583\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_gains < 0.583084583\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- capital_gains < 0.383084565\n", "| | | | | | | | | |--- total_claim_amount >= 0.48684898\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- total_claim_amount < 0.48684898\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- months_as_customer < 0.30271399\n", "| | | | | | | | |--- total_claim_amount >= 0.512976825\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- total_claim_amount < 0.512976825\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | |--- total_claim_amount >= 0.512976825\n", "| | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | |--- months_as_customer >= 0.486430049\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.486430049\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | |--- months_as_customer >= 0.373695195\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.373695195\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- total_claim_amount < 0.512976825\n", "| | | | | | | | |--- property_claim >= 0.233206585\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.0776792169\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.0776792169\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- property_claim < 0.233206585\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- capital_loss < 0.800180018\n", "| | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.107355513\n", "| | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.107355513\n", "| | | | | | | | |--- months_as_customer >= 0.486430049\n", "| | | | | | | | | |--- incident_hour_of_the_day >= 0.688311636\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_hour_of_the_day < 0.688311636\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.486430049\n", "| | | | | | | | | |--- Education_Some-college >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | |--- Occupation_Exec-managerial >= 0.00526518421\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Occupation_Exec-managerial < 0.00526518421\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | |--- Work_Private >= 0.983950317\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.983950317\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Education_HS-grad < 0.29376474\n", "| | | | | |--- Education_HS-grad >= 0.212772861\n", "| | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | |--- months_as_customer >= 0.30271399\n", "| | | | | | | | | |--- capital_gains >= 0.383084565\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_gains < 0.383084565\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.30271399\n", "| | | | | | | | | |--- insured_zip >= 0.226582065\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.226582065\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | |--- total_claim_amount >= 0.512976825\n", "| | | | | | | | | |--- months_as_customer >= 0.427974939\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.427974939\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- total_claim_amount < 0.512976825\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.107355513\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.107355513\n", "| | | | | | | | | |--- months_as_customer >= 0.486430049\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.486430049\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | |--- auto_year >= 0.5\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- auto_year < 0.5\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Education_HS-grad < 0.212772861\n", "| | | | | | |--- Education_HS-grad >= 0.0350781642\n", "| | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | |--- months_as_customer >= 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | |--- total_claim_amount >= 0.512976825\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- total_claim_amount < 0.512976825\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | | |--- months_as_customer >= 0.486430049\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.486430049\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.0350781642\n", "| | | | | | | |--- Education_HS-grad >= 0.0135305077\n", "| | | | | | | | |--- capital_loss >= 0.754275441\n", "| | | | | | | | | |--- injury_claim >= 0.31561771\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- injury_claim < 0.31561771\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- capital_loss < 0.754275441\n", "| | | | | | | | | |--- insured_zip >= 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_zip < 0.184215486\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Education_HS-grad < 0.0135305077\n", "| | | | | | | | |--- Education_HS-grad >= 0.00780077651\n", "| | | | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.00780077651\n", "| | | | | | | | | |--- insured_relationship_not-in-family >= 0.18214266\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_not-in-family < 0.18214266\n", "| | | | | | | | | | |--- Class: 1\n", "|--- incident_severity_Major Damage < 0.604346037\n", "| |--- insured_hobbies_chess >= 0.00288834516\n", "| | |--- auto_make_Suburu >= 0.00355390087\n", "| | | |--- incident_location_6738 Francis Hwy >= 1.0\n", "| | | | |--- Below_50K >= 0.00288834516\n", "| | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | |--- Occupation_Prof-specialty >= 0.00288220192\n", "| | | | | | | |--- Class: 0\n", "| | | | | | |--- Occupation_Prof-specialty < 0.00288220192\n", "| | | | | | | |--- Class: 0\n", "| | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | |--- Class: 0\n", "| | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | |--- Class: 0\n", "| | | | |--- Below_50K < 0.00288834516\n", "| | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | |--- Education_Bachelors >= 0.00473549357\n", "| | | | | | | |--- Class: 0\n", "| | | | | | |--- Education_Bachelors < 0.00473549357\n", "| | | | | | | |--- Class: 0\n", "| | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | |--- Class: 0\n", "| | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | |--- Class: 0\n", "| | | |--- incident_location_6738 Francis Hwy < 1.0\n", "| | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | |--- vehicle_claim >= 0.441187561\n", "| | | | | | | |--- property_claim >= 0.265314758\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- property_claim < 0.265314758\n", "| | | | | | | | |--- Hours_Week >= 0.350267142\n", "| | | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.350267142\n", "| | | | | | | | | |--- Occupation_Sales >= 0.00164178468\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Sales < 0.00164178468\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- vehicle_claim < 0.441187561\n", "| | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | |--- Work_Private >= 0.926854134\n", "| | | | | | | | | |--- months_as_customer >= 0.292275578\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.292275578\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.926854134\n", "| | | | | | | | | |--- Work_Local-gov >= 0.0406774804\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Local-gov < 0.0406774804\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | |--- Hours_Week >= 0.350267142\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.350267142\n", "| | | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | |--- injury_claim >= 0.271794885\n", "| | | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | | |--- months_as_customer >= 0.572025061\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.572025061\n", "| | | | | | | | | |--- authorities_contacted_Ambulance >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- authorities_contacted_Ambulance < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | | |--- Hours_Week >= 0.377551019\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.377551019\n", "| | | | | | | | | |--- months_as_customer >= 0.292275578\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.292275578\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- injury_claim < 0.271794885\n", "| | | | | | | |--- property_damage_NO >= 0.18214266\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- Hours_Week >= 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Work_Private >= 0.359153211\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.359153211\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- property_damage_NO < 0.18214266\n", "| | | | | | | | |--- insured_zip >= 0.938986063\n", "| | | | | | | | | |--- Gender_Female >= 0.991305232\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.991305232\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.938986063\n", "| | | | | | | | | |--- Work_Private >= 0.961314321\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.961314321\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | |--- total_claim_amount >= 0.512976825\n", "| | | | | | |--- authorities_contacted_Ambulance >= 1.0\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | |--- capital_gains >= 0.410945266\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- capital_gains < 0.410945266\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- authorities_contacted_Ambulance < 1.0\n", "| | | | | | | |--- injury_claim >= 0.312354326\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- injury_claim < 0.312354326\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- total_claim_amount < 0.512976825\n", "| | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | |--- policy_annual_premium >= 0.46168524\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- policy_annual_premium < 0.46168524\n", "| | | | | | | | | |--- insured_relationship_husband >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_husband < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | | |--- Work_Private >= 0.359153211\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.359153211\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | |--- policy_annual_premium >= 0.46168524\n", "| | | | | | | | |--- injury_claim >= 0.235897437\n", "| | | | | | | | | |--- Hours_Week >= 0.4192743\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.4192743\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- injury_claim < 0.235897437\n", "| | | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- policy_annual_premium < 0.46168524\n", "| | | | | | | | |--- months_as_customer >= 0.572025061\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- months_as_customer < 0.572025061\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | |--- auto_make_Suburu < 0.00355390087\n", "| | | |--- property_claim >= 0.470637947\n", "| | | | |--- police_report_available_YES >= 0.159470797\n", "| | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | |--- CustomerID >= 0.443833143\n", "| | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | |--- insured_relationship_husband >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- insured_relationship_husband < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | |--- CustomerID < 0.443833143\n", "| | | | | | | |--- authorities_contacted_Ambulance >= 0.817857325\n", "| | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- authorities_contacted_Ambulance < 0.817857325\n", "| | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | |--- Occupation_Farming-fishing >= 0.760582924\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Occupation_Farming-fishing < 0.760582924\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | |--- Occupation_Farming-fishing >= 0.760582924\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Occupation_Farming-fishing < 0.760582924\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | |--- Class: 0\n", "| | | | |--- police_report_available_YES < 0.159470797\n", "| | | | | |--- insured_zip >= 0.127979964\n", "| | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.321786195\n", "| | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.321786195\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | |--- Work_Private >= 0.359153211\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Widowed >= 0.887980103\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Widowed < 0.887980103\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Work_Private < 0.359153211\n", "| | | | | | | | |--- Occupation_Sales >= 0.00164178468\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Occupation_Sales < 0.00164178468\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- insured_zip < 0.127979964\n", "| | | | | | |--- Hours_Week >= 0.43877551\n", "| | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | |--- Occupation_Craft-repair >= 0.00773198577\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Craft-repair < 0.00773198577\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | |--- Education_Assoc-acdm >= 0.000977808144\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_Assoc-acdm < 0.000977808144\n", "| | | | | | | | | |--- Occupation_Exec-managerial >= 0.321650714\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Exec-managerial < 0.321650714\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Hours_Week < 0.43877551\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | |--- Marital_Status_Divorced >= 0.996600568\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Divorced < 0.996600568\n", "| | | | | | | | | |--- Gender_Female >= 0.991305232\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.991305232\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- property_claim < 0.470637947\n", "| | | | |--- vehicle_claim >= 0.441187561\n", "| | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | |--- Education_HS-grad >= 0.997724235\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.997724235\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | |--- Occupation_Prof-specialty >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Prof-specialty < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | |--- Work_Private >= 0.886745989\n", "| | | | | | | | | |--- Hours_Week >= 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.37807557\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.886745989\n", "| | | | | | | | | |--- Work_Local-gov >= 0.0406774804\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Local-gov < 0.0406774804\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | |--- Gender_Female >= 0.991305232\n", "| | | | | | | | |--- Marital_Status_Never-married >= 0.995290279\n", "| | | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Never-married < 0.995290279\n", "| | | | | | | | | |--- police_report_available_YES >= 0.159470797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- police_report_available_YES < 0.159470797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Gender_Female < 0.991305232\n", "| | | | | | | | |--- incident_hour_of_the_day >= 0.608695626\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.252285987\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.252285987\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- incident_hour_of_the_day < 0.608695626\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | |--- incident_hour_of_the_day >= 0.627306759\n", "| | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- incident_hour_of_the_day < 0.627306759\n", "| | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | |--- Education_HS-grad >= 0.476731628\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.476731628\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | |--- injury_claim >= 0.317016304\n", "| | | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- injury_claim < 0.317016304\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- vehicle_claim < 0.441187561\n", "| | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | |--- Education_HS-grad >= 0.962665021\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.610811472\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.610811472\n", "| | | | | | | | | |--- Hours_Week >= 0.4192743\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.4192743\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Education_HS-grad < 0.962665021\n", "| | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | |--- months_as_customer >= 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- months_as_customer < 0.306889355\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | |--- insured_zip >= 0.922361135\n", "| | | | | | | | |--- insured_zip >= 0.969961941\n", "| | | | | | | | | |--- Gender_Female >= 0.991305232\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.991305232\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.969961941\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.995290279\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- insured_zip < 0.922361135\n", "| | | | | | | | |--- property_damage_NO >= 0.18214266\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- property_damage_NO < 0.18214266\n", "| | | | | | | | | |--- Occupation_Prof-specialty >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Prof-specialty < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Work_Private < 0.996854305\n", "| | | | | | |--- insured_zip >= 0.241509393\n", "| | | | | | | |--- total_claim_amount >= 0.27216512\n", "| | | | | | | | |--- Work_Local-gov >= 0.0406774804\n", "| | | | | | | | | |--- Work_Local-gov >= 0.643815458\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Local-gov < 0.643815458\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Local-gov < 0.0406774804\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.610811472\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.610811472\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- total_claim_amount < 0.27216512\n", "| | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | |--- Work_Local-gov >= 0.0406774804\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Local-gov < 0.0406774804\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- insured_zip < 0.241509393\n", "| | | | | | | |--- witnesses >= 0.156967938\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- Education_HS-grad >= 0.476731628\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.476731628\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- Work_Private >= 0.359153211\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.359153211\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- witnesses < 0.156967938\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- authorities_contacted_nan >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- authorities_contacted_nan < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| |--- insured_hobbies_chess < 0.00288834516\n", "| | |--- insured_hobbies_cross-fit >= 0.42127946\n", "| | | |--- incident_city_Riverwood >= 0.0441003181\n", "| | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | |--- authorities_contacted_Fire >= 0.0441003181\n", "| | | | | | | |--- Marital_Status_Never-married >= 0.995290279\n", "| | | | | | | | |--- insured_relationship_unmarried >= 0.0436352715\n", "| | | | | | | | | |--- CustomerID >= 0.689906955\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- CustomerID < 0.689906955\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_relationship_unmarried < 0.0436352715\n", "| | | | | | | | | |--- Education_Assoc-acdm >= 0.000977808144\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Assoc-acdm < 0.000977808144\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Never-married < 0.995290279\n", "| | | | | | | | |--- insured_relationship_unmarried >= 0.0436352715\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_relationship_unmarried < 0.0436352715\n", "| | | | | | | | | |--- Education_Assoc-acdm >= 0.000977808144\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Assoc-acdm < 0.000977808144\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- authorities_contacted_Fire < 0.0441003181\n", "| | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | |--- Gender_Female >= 0.991305232\n", "| | | | | | | | | |--- Age >= 0.204840779\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Age < 0.204840779\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Gender_Female < 0.991305232\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Education_HS-grad >= 0.437672466\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.437672466\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- insured_relationship_husband >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_husband < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | |--- collision_type_Front Collision >= 0.584111392\n", "| | | | | | | |--- Hours_Week >= 0.4192743\n", "| | | | | | | | |--- Below_50K >= 0.242882043\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.242882043\n", "| | | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Hours_Week < 0.4192743\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.839352965\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.839352965\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- collision_type_Front Collision < 0.584111392\n", "| | | | | | | |--- Hours_Week >= 0.350267142\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.839352965\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.839352965\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Hours_Week < 0.350267142\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.226607695\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.226607695\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Hours_Week >= 0.20408164\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.20408164\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Gender_Female < 0.00288220192\n", "| | | | | |--- authorities_contacted_Other >= 0.0369084254\n", "| | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | |--- Occupation_Craft-repair >= 0.00773198577\n", "| | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Occupation_Craft-repair < 0.00773198577\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- insured_relationship_husband >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_husband < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | |--- Occupation_Craft-repair >= 0.00773198577\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Craft-repair < 0.00773198577\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | |--- Work_Self-emp-inc >= 0.130012378\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Self-emp-inc < 0.130012378\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- authorities_contacted_Other < 0.0369084254\n", "| | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | |--- auto_make_Audi >= 0.033474721\n", "| | | | | | | | | |--- Hours_Week >= 0.393562645\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.393562645\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- auto_make_Audi < 0.033474721\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | |--- Below_50K >= 0.549400866\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- Occupation_Exec-managerial >= 0.00526518421\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Exec-managerial < 0.00526518421\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Below_50K < 0.549400866\n", "| | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | |--- insured_relationship_other-relative >= 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_other-relative < 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- incident_city_Riverwood < 0.0441003181\n", "| | | | |--- injury_claim >= 0.639627039\n", "| | | | | |--- months_as_customer >= 0.271398753\n", "| | | | | | |--- months_as_customer >= 0.490605414\n", "| | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | |--- Hours_Week >= 0.350267142\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.350267142\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- months_as_customer < 0.490605414\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | |--- Education_HS-grad >= 0.860226214\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.860226214\n", "| | | | | | | | | |--- Gender_Female >= 0.991305232\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.991305232\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- months_as_customer < 0.271398753\n", "| | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | |--- insured_relationship_not-in-family >= 0.18214266\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_relationship_not-in-family < 0.18214266\n", "| | | | | | | | | |--- insured_relationship_other-relative >= 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_other-relative < 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | |--- Education_HS-grad >= 0.860226214\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.860226214\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | |--- Occupation_Sales >= 0.00164178468\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Occupation_Sales < 0.00164178468\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | |--- Education_Some-college >= 0.364014685\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_Some-college < 0.364014685\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | |--- insured_relationship_other-relative >= 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- insured_relationship_other-relative < 0.164474666\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- injury_claim < 0.639627039\n", "| | | | | |--- incident_city_Columbus >= 0.00355390087\n", "| | | | | | |--- incident_location_3982 Weaver Lane >= 1.0\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | |--- Occupation_Craft-repair >= 0.00773198577\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Occupation_Craft-repair < 0.00773198577\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | |--- incident_location_3982 Weaver Lane < 1.0\n", "| | | | | | | |--- policy_annual_premium >= 0.546597183\n", "| | | | | | | | |--- Hours_Week >= 0.37807557\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.37807557\n", "| | | | | | | | | |--- capital_loss >= 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_loss < 0.800180018\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- policy_annual_premium < 0.546597183\n", "| | | | | | | | |--- insured_zip >= 0.938986063\n", "| | | | | | | | | |--- Gender_Female >= 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Gender_Female < 0.00288220192\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- insured_zip < 0.938986063\n", "| | | | | | | | | |--- Hours_Week >= 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Hours_Week < 0.398602962\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- incident_city_Columbus < 0.00355390087\n", "| | | | | | |--- insured_zip >= 0.233823046\n", "| | | | | | | |--- authorities_contacted_Other >= 0.0369084254\n", "| | | | | | | | |--- collision_type_Front Collision >= 0.584111392\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- collision_type_Front Collision < 0.584111392\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- authorities_contacted_Other < 0.0369084254\n", "| | | | | | | | |--- Hours_Week >= 0.37807557\n", "| | | | | | | | | |--- Below_50K >= 0.866996408\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.866996408\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Hours_Week < 0.37807557\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- insured_zip < 0.233823046\n", "| | | | | | | |--- incident_city_Springfield >= 1.0\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Hours_Week >= 0.397959173\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Hours_Week < 0.397959173\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- incident_city_Springfield < 1.0\n", "| | | | | | | | |--- incident_city_Arlington >= 0.208266437\n", "| | | | | | | | | |--- authorities_contacted_Police >= 0.159470797\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- authorities_contacted_Police < 0.159470797\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- incident_city_Arlington < 0.208266437\n", "| | | | | | | | | |--- capital_gains >= 0.518407941\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- capital_gains < 0.518407941\n", "| | | | | | | | | | |--- Class: 1\n", "| | |--- insured_hobbies_cross-fit < 0.42127946\n", "| | | |--- total_claim_amount >= 0.815450251\n", "| | | | |--- insured_zip >= 0.241509393\n", "| | | | | |--- insured_zip >= 0.891809642\n", "| | | | | | |--- incident_hour_of_the_day >= 0.707569122\n", "| | | | | | | |--- property_damage_NO >= 0.18214266\n", "| | | | | | | | |--- auto_year >= 0.400795281\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- auto_year < 0.400795281\n", "| | | | | | | | | |--- Marital_Status_Never-married >= 0.004588251\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Marital_Status_Never-married < 0.004588251\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- property_damage_NO < 0.18214266\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- collision_type_Rear Collision >= 0.0844159797\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- collision_type_Rear Collision < 0.0844159797\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- capital_gains >= 0.518407941\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- capital_gains < 0.518407941\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- incident_hour_of_the_day < 0.707569122\n", "| | | | | | | |--- months_as_customer >= 0.292275578\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Occupation_Exec-managerial >= 0.00526518421\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Occupation_Exec-managerial < 0.00526518421\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- months_as_customer >= 0.68893528\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- months_as_customer < 0.68893528\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- months_as_customer < 0.292275578\n", "| | | | | | | | |--- collision_type_Front Collision >= 0.584111392\n", "| | | | | | | | | |--- insured_hobbies_kayaking >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- insured_hobbies_kayaking < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- collision_type_Front Collision < 0.584111392\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | |--- insured_zip < 0.891809642\n", "| | | | | | |--- capital_loss >= 0.504950523\n", "| | | | | | | |--- incident_hour_of_the_day >= 0.707569122\n", "| | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- incident_hour_of_the_day < 0.707569122\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Occupation_Craft-repair >= 0.00773198577\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Occupation_Craft-repair < 0.00773198577\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- capital_loss < 0.504950523\n", "| | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.212992728\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.212992728\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- insured_zip < 0.241509393\n", "| | | | | |--- auto_year >= 0.5\n", "| | | | | | |--- policy_annual_premium >= 0.638738513\n", "| | | | | | | |--- months_as_customer >= 0.292275578\n", "| | | | | | | | |--- property_claim >= 0.224334598\n", "| | | | | | | | | |--- incident_hour_of_the_day >= 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- incident_hour_of_the_day < 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- property_claim < 0.224334598\n", "| | | | | | | | | |--- incident_hour_of_the_day >= 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- incident_hour_of_the_day < 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- months_as_customer < 0.292275578\n", "| | | | | | | | |--- witnesses >= 0.390620619\n", "| | | | | | | | | |--- property_claim >= 0.224334598\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- property_claim < 0.224334598\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- witnesses < 0.390620619\n", "| | | | | | | | | |--- incident_hour_of_the_day >= 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- incident_hour_of_the_day < 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- policy_annual_premium < 0.638738513\n", "| | | | | | | |--- incident_hour_of_the_day >= 0.739130437\n", "| | | | | | | | |--- insured_zip >= 0.10792841\n", "| | | | | | | | | |--- injury_claim >= 0.447552443\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- injury_claim < 0.447552443\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- insured_zip < 0.10792841\n", "| | | | | | | | | |--- policy_annual_premium >= 0.487765282\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- policy_annual_premium < 0.487765282\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- incident_hour_of_the_day < 0.739130437\n", "| | | | | | | | |--- vehicle_claim >= 0.631148577\n", "| | | | | | | | | |--- property_claim >= 0.31347698\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- property_claim < 0.31347698\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- vehicle_claim < 0.631148577\n", "| | | | | | | | | |--- policy_annual_premium >= 0.546597183\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- policy_annual_premium < 0.546597183\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | |--- auto_year < 0.5\n", "| | | | | | |--- policy_annual_premium >= 0.638738513\n", "| | | | | | | |--- months_as_customer >= 0.292275578\n", "| | | | | | | | |--- property_claim >= 0.233206585\n", "| | | | | | | | | |--- incident_hour_of_the_day >= 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- incident_hour_of_the_day < 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- property_claim < 0.233206585\n", "| | | | | | | | | |--- incident_hour_of_the_day >= 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- incident_hour_of_the_day < 0.739130437\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- months_as_customer < 0.292275578\n", "| | | | | | | | |--- incident_hour_of_the_day >= 0.739130437\n", "| | | | | | | | | |--- insured_zip >= 0.10792841\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- insured_zip < 0.10792841\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- incident_hour_of_the_day < 0.739130437\n", "| | | | | | | | | |--- witnesses >= 0.390620619\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- witnesses < 0.390620619\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- policy_annual_premium < 0.638738513\n", "| | | | | | | |--- insured_zip >= 0.0985497087\n", "| | | | | | | | |--- property_claim >= 0.224334598\n", "| | | | | | | | | |--- months_as_customer >= 0.292275578\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- months_as_customer < 0.292275578\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- property_claim < 0.224334598\n", "| | | | | | | | | |--- injury_claim >= 0.511888087\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- injury_claim < 0.511888087\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- insured_zip < 0.0985497087\n", "| | | | | | | | |--- incident_hour_of_the_day >= 0.739130437\n", "| | | | | | | | | |--- policy_annual_premium >= 0.487765282\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- policy_annual_premium < 0.487765282\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- incident_hour_of_the_day < 0.739130437\n", "| | | | | | | | | |--- vehicle_claim >= 0.631148577\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- vehicle_claim < 0.631148577\n", "| | | | | | | | | | |--- Class: 0\n", "| | | |--- total_claim_amount < 0.815450251\n", "| | | | |--- total_claim_amount >= 0.73157984\n", "| | | | | |--- incident_location_3061 Francis Hwy >= 1.0\n", "| | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | |--- CustomerID >= 0.527858377\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- CustomerID < 0.527858377\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | |--- Education_10th >= 0.00149975682\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_10th < 0.00149975682\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | |--- Occupation_Exec-managerial >= 0.148235619\n", "| | | | | | | | |--- Below_50K >= 0.242882043\n", "| | | | | | | | | |--- Education_10th >= 0.00149975682\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_10th < 0.00149975682\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Below_50K < 0.242882043\n", "| | | | | | | | | |--- Below_50K >= 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.00288834516\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Occupation_Exec-managerial < 0.148235619\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.996700644\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- incident_location_3061 Francis Hwy < 1.0\n", "| | | | | | |--- capital_loss >= 0.504950523\n", "| | | | | | | |--- auto_year >= 0.5\n", "| | | | | | | | |--- policy_annual_premium >= 0.638738513\n", "| | | | | | | | | |--- months_as_customer >= 0.292275578\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- months_as_customer < 0.292275578\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- policy_annual_premium < 0.638738513\n", "| | | | | | | | | |--- insured_zip >= 0.10792841\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- insured_zip < 0.10792841\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- auto_year < 0.5\n", "| | | | | | | | |--- policy_annual_premium >= 0.638738513\n", "| | | | | | | | | |--- months_as_customer >= 0.292275578\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- months_as_customer < 0.292275578\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- policy_annual_premium < 0.638738513\n", "| | | | | | | | | |--- insured_zip >= 0.10792841\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- insured_zip < 0.10792841\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- capital_loss < 0.504950523\n", "| | | | | | | |--- insured_hobbies_sleeping >= 0.40154162\n", "| | | | | | | | |--- witnesses >= 0.390620619\n", "| | | | | | | | | |--- policy_annual_premium >= 0.546597183\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- policy_annual_premium < 0.546597183\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- witnesses < 0.390620619\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- insured_hobbies_sleeping < 0.40154162\n", "| | | | | | | | |--- incident_location_9169 Pine Ridge >= 1.0\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.212992728\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.212992728\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- incident_location_9169 Pine Ridge < 1.0\n", "| | | | | | | | | |--- incident_location_4642 Rock Ridge >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_location_4642 Rock Ridge < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | |--- total_claim_amount < 0.73157984\n", "| | | | | |--- total_claim_amount >= 0.718603015\n", "| | | | | | |--- incident_location_3061 Francis Hwy >= 1.0\n", "| | | | | | | |--- CustomerID >= 0.432329684\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Below_50K >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- CustomerID < 0.432329684\n", "| | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | |--- Below_50K >= 0.242882043\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Below_50K < 0.242882043\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- incident_location_3061 Francis Hwy < 1.0\n", "| | | | | | | |--- incident_location_4642 Rock Ridge >= 1.0\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse >= 0.00253826613\n", "| | | | | | | | | |--- Work_Private >= 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.996854305\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Marital_Status_Married-civ-spouse < 0.00253826613\n", "| | | | | | | | | |--- Education_HS-grad >= 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Education_HS-grad < 0.0047097085\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- incident_location_4642 Rock Ridge < 1.0\n", "| | | | | | | | |--- incident_location_9169 Pine Ridge >= 1.0\n", "| | | | | | | | | |--- Marital_Status_Divorced >= 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Marital_Status_Divorced < 0.00387865142\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- incident_location_9169 Pine Ridge < 1.0\n", "| | | | | | | | | |--- auto_year >= 0.5\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- auto_year < 0.5\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | |--- total_claim_amount < 0.718603015\n", "| | | | | | |--- total_claim_amount >= 0.686291575\n", "| | | | | | | |--- vehicle_claim >= 0.585608244\n", "| | | | | | | | |--- vehicle_claim >= 0.613913715\n", "| | | | | | | | | |--- vehicle_claim >= 0.620832801\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- vehicle_claim < 0.620832801\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- vehicle_claim < 0.613913715\n", "| | | | | | | | | |--- incident_location_4642 Rock Ridge >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_location_4642 Rock Ridge < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- vehicle_claim < 0.585608244\n", "| | | | | | | | |--- incident_location_4642 Rock Ridge >= 1.0\n", "| | | | | | | | | |--- Work_Private >= 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Work_Private < 0.00361347338\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- incident_location_4642 Rock Ridge < 1.0\n", "| | | | | | | | | |--- auto_year >= 0.400795281\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- auto_year < 0.400795281\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- total_claim_amount < 0.686291575\n", "| | | | | | | |--- vehicle_claim >= 0.532771409\n", "| | | | | | | | |--- incident_city_Northbend >= 0.414711595\n", "| | | | | | | | | |--- auto_year >= 0.5\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- auto_year < 0.5\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- incident_city_Northbend < 0.414711595\n", "| | | | | | | | | |--- vehicle_claim >= 0.534532666\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- vehicle_claim < 0.534532666\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- vehicle_claim < 0.532771409\n", "| | | | | | | | |--- vehicle_claim >= 0.508617461\n", "| | | | | | | | | |--- incident_location_5779 2nd Lane >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- incident_location_5779 2nd Lane < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- vehicle_claim < 0.508617461\n", "| | | | | | | | | |--- total_claim_amount >= 0.528218091\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- total_claim_amount < 0.528218091\n", "| | | | | | | | | | |--- Class: 0\n" ] } ], "source": [ "model_apprx_xgb.tree.print_tree(feature_cols)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "6sYaQEKwmGYJ" }, "outputs": [], "source": [ "# Get the decision paths for the input data\n", "paths = model_apprx_xgb.get_decision_paths(df)\n", "\n", "# Print the decision paths\n", "for i, path in enumerate(paths, start=1):\n", " print(f\"Path {i}: {' -> '.join(path)}\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "YeJ8Q1OEts40" }, "outputs": [], "source": [ "extractNodesFromModel(model_xgb)" ] } ], "metadata": { "accelerator": "GPU", "colab": { "collapsed_sections": [ "OvF0sMOH_aRm", "3tpteA_wzjZV", "Xs62Re63DN5C", "-jB_9sjJDmzI", "uaBU8CeXC9Wb", "WvmAWuVhDWgr", "SYyw3TsrDV0U", "OUboZmDICpP9", "UGeo7A_GCfb_", "n-ic7xKk85zU", "K3oLWkxYKF7J", "uVqtjcmtjm2U", "stcCnncWHwUF", "ldBrOI4PHpJ5", "XDdurxYpjrNW", "VUPZIAFtHycO", "khhuUSLDIFbi", "Q3nVpVUVqll4", "dUQGYZPNIecC", "t78xNhTBITKK", "k5YN0ahiTfuj", "iKHS1AI8_lZw", "diZjuopu_p4v", "JXNmExLslkVL", "Mre8iQ7clsHj" ], "gpuType": "L4", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.6" } }, "nbformat": 4, "nbformat_minor": 0 }