{ "DecisionTree": { "params": { "max_depth": 10, "min_samples_split": 5 }, "metrics": { "accuracy": 0.87409200968523, "precision": 0.7391304347826086, "recall": 0.5345911949685535, "f1": 0.6204379562043796, "roc_auc": 0.8287978652183342 }, "time": 3.28193998336792 }, "Bagging": { "params": { "max_samples": 1.0, "n_estimators": 100 }, "metrics": { "accuracy": 0.9164648910411622, "precision": 0.9166666666666666, "recall": 0.6226415094339622, "f1": 0.7415730337078652, "roc_auc": 0.9570969232364949 }, "time": 14.474764823913574 }, "RandomForest": { "params": { "max_depth": 20, "n_estimators": 200 }, "metrics": { "accuracy": 0.8801452784503632, "precision": 0.8488372093023255, "recall": 0.4591194968553459, "f1": 0.5959183673469388, "roc_auc": 0.9396716735971636 }, "time": 7.171702861785889 }, "AdaBoost": { "params": { "learning_rate": 1.0, "n_estimators": 100 }, "metrics": { "accuracy": 0.851089588377724, "precision": 0.8461538461538461, "recall": 0.27672955974842767, "f1": 0.41706161137440756, "roc_auc": 0.8426400007543398 }, "time": 4.963773488998413 }, "GradientBoosting": { "params": { "learning_rate": 0.1, "n_estimators": 200 }, "metrics": { "accuracy": 0.8910411622276029, "precision": 0.8709677419354839, "recall": 0.5094339622641509, "f1": 0.6428571428571429, "roc_auc": 0.9011343384911318 }, "time": 15.61880111694336 }, "XGBoost": { "params": { "learning_rate": 0.1, "n_estimators": 200 }, "metrics": { "accuracy": 0.9188861985472155, "precision": 0.8833333333333333, "recall": 0.6666666666666666, "f1": 0.7598566308243727, "roc_auc": 0.9512130727089285 }, "time": 2.7084546089172363 } }