10559668 9186 Prabhant Singh 31 Supervised Classification 18682 keras.engine.sequential.Sequential.3004bddd(3) 8276206 backend "tensorflow" 18682 class_name "Sequential" 18682 config {"name": "sequential_1"} 18682 keras_version "2.2.4" 18682 layer0_batch_normalization_1 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_1", "scale": true, "trainable": true}} 18682 layer1_dense_1 {"class_name": "Dense", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 1024, "use_bias": true}} 18682 layer2_dropout_1 {"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}} 18682 layer3_dense_2 {"class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_2", "trainable": true, "units": 2, "use_bias": true}} 18682 optimizer {"loss": "sparse_categorical_crossentropy", "loss_weights": null, "metrics": ["accuracy"], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "decay": 0.0, "epsilon": 1e-07, "lr": 0.0010000000474974513}}, "sample_weight_mode": null, "weighted_metrics": null} 18682 Keras_2.2.4. openml-python 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 22044337 description https://api.openml.org/data/download/22044337/description.xml -1 22044338 predictions https://api.openml.org/data/download/22044338/predictions.arff area_under_roc_curve 0.7844857142857142 [0.784486,0.784486] average_cost 0 f_measure 0.7509868742023238 [0.839973,0.543353] kappa 0.3885448916408668 kb_relative_information_score 0.21429385796130895 mean_absolute_error 0.32873007518374964 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.763 [0.888571,0.47] number_of_instances 1000 [700,300] precision 0.7506410818585234 [0.796415,0.643836] predictive_accuracy 0.763 prior_entropy 0.8812914463598482 relative_absolute_error 0.7823931955679758 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.4044779658897922 root_relative_squared_error 0.8826429487302488 total_cost 0 unweighted_recall 0.6792857142857143 [0.888571,0.47] area_under_roc_curve 0.841904761904762 [0.841905,0.841905] area_under_roc_curve 0.7495238095238095 [0.749524,0.749524] area_under_roc_curve 0.7471428571428571 [0.747143,0.747143] area_under_roc_curve 0.7380952380952382 [0.738095,0.738095] area_under_roc_curve 0.7771428571428571 [0.777143,0.777143] area_under_roc_curve 0.7985714285714286 [0.798571,0.798571] area_under_roc_curve 0.7671428571428571 [0.767143,0.767143] area_under_roc_curve 0.8328571428571427 [0.832857,0.832857] area_under_roc_curve 0.7904761904761903 [0.790476,0.790476] area_under_roc_curve 0.8471428571428572 [0.847143,0.847143] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7811320754716982 [0.857143,0.603774] f_measure 0.714116427195971 [0.840764,0.418605] f_measure 0.7138888888888889 [0.805556,0.5] f_measure 0.7312418917325155 [0.805755,0.557377] f_measure 0.6679841897233202 [0.805195,0.347826] f_measure 0.735491512041058 [0.832215,0.509804] f_measure 0.727027027027027 [0.824324,0.5] f_measure 0.8252037617554859 [0.882759,0.690909] f_measure 0.7653333333333333 [0.853333,0.56] f_measure 0.8320166320166321 [0.891892,0.692308] kappa 0.4642857142857144 kappa 0.28977272727272724 kappa 0.3069306930693069 kappa 0.36320754716981135 kappa 0.17582417582417567 kappa 0.34895833333333337 kappa 0.32989690721649484 kappa 0.575 kappa 0.42105263157894746 kappa 0.5876288659793814 kb_relative_information_score 0.2563317744426624 kb_relative_information_score 0.1807608830264957 kb_relative_information_score 0.13550075565116287 kb_relative_information_score 0.14532564986109497 kb_relative_information_score 0.1934415670502054 kb_relative_information_score 0.24841604662830774 kb_relative_information_score 0.2227403579569392 kb_relative_information_score 0.2540714467365006 kb_relative_information_score 0.21446883347367396 kb_relative_information_score 0.2918812647860109 mean_absolute_error 0.31530375155499996 mean_absolute_error 0.33600837140499995 mean_absolute_error 0.35202814690500017 mean_absolute_error 0.35070463501000004 mean_absolute_error 0.33031126041250014 mean_absolute_error 0.316841577685 mean_absolute_error 0.32337079364000004 mean_absolute_error 0.32306161519500004 mean_absolute_error 0.33577554416500005 mean_absolute_error 0.303895055865 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.7814229249011858 [0.818182,0.695652] precision 0.7387267904509284 [0.758621,0.692308] precision 0.7101871101871101 [0.783784,0.538462] precision 0.7326320710612435 [0.811594,0.548387] precision 0.6666666666666667 [0.738095,0.5] precision 0.7350813743218807 [0.78481,0.619048] precision 0.7247086247086247 [0.782051,0.590909] precision 0.8253333333333334 [0.853333,0.76] precision 0.77 [0.8,0.7] precision 0.8377622377622379 [0.846154,0.818182] predictive_accuracy 0.79 predictive_accuracy 0.75 predictive_accuracy 0.72 predictive_accuracy 0.73 predictive_accuracy 0.7 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.83 predictive_accuracy 0.78 predictive_accuracy 0.84 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 relative_absolute_error 0.7504379075014477 relative_absolute_error 0.7997158863368395 relative_absolute_error 0.8378437130613056 relative_absolute_error 0.8346936918765309 relative_absolute_error 0.7861564915280869 relative_absolute_error 0.7540980067467209 relative_absolute_error 0.7696378508961509 relative_absolute_error 0.7689019915092388 relative_absolute_error 0.7991617464449632 relative_absolute_error 0.723284669778455 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_squared_error 0.3843043913980457 root_mean_squared_error 0.41612956238389287 root_mean_squared_error 0.42874800939736135 root_mean_squared_error 0.4213848188464996 root_mean_squared_error 0.4198329404885839 root_mean_squared_error 0.40034606348277924 root_mean_squared_error 0.41140733613013347 root_mean_squared_error 0.38231809487162266 root_mean_squared_error 0.403659052150084 root_mean_squared_error 0.37266624359230094 root_relative_squared_error 0.8386206167927003 root_relative_squared_error 0.9080688071310739 root_relative_squared_error 0.9356045055364571 root_relative_squared_error 0.9195367125589624 root_relative_squared_error 0.9161502376322305 root_relative_squared_error 0.8736264018922298 root_relative_squared_error 0.8977640685379085 root_relative_squared_error 0.8342861640635438 root_relative_squared_error 0.8808559331226568 root_relative_squared_error 0.8132241058247334 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 unweighted_recall 0.7166666666666667 [0.9,0.533333] unweighted_recall 0.6214285714285714 [0.942857,0.3] unweighted_recall 0.6476190476190476 [0.828571,0.466667] unweighted_recall 0.6833333333333333 [0.8,0.566667] unweighted_recall 0.5761904761904761 [0.885714,0.266667] unweighted_recall 0.6595238095238095 [0.885714,0.433333] unweighted_recall 0.6523809523809524 [0.871429,0.433333] unweighted_recall 0.7738095238095237 [0.914286,0.633333] unweighted_recall 0.6904761904761905 [0.914286,0.466667] unweighted_recall 0.7714285714285714 [0.942857,0.6] weighted_recall 0.79 [0.9,0.533333] weighted_recall 0.75 [0.942857,0.3] weighted_recall 0.72 [0.828571,0.466667] weighted_recall 0.73 [0.8,0.566667] weighted_recall 0.7 [0.885714,0.266667] weighted_recall 0.75 [0.885714,0.433333] weighted_recall 0.74 [0.871429,0.433333] weighted_recall 0.83 [0.914286,0.633333] weighted_recall 0.78 [0.914286,0.466667] weighted_recall 0.84 [0.942857,0.6]