10464816 9186 Prabhant Singh 31 Supervised Classification 17682 keras.engine.sequential.Sequential.3004bddd(2) 8264946 backend "tensorflow" 17682 class_name "Sequential" 17682 config {"name": "sequential_1"} 17682 keras_version "2.2.4" 17682 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}} 17682 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}} 17682 layer2_dropout_1 {"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}} 17682 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}} 17682 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} 17682 Keras_2.2.4. openml-python 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 21854282 description https://api.openml.org/data/download/21854282/description.xml -1 21854283 predictions https://api.openml.org/data/download/21854283/predictions.arff area_under_roc_curve 0.7830095238095239 [0.78301,0.78301] average_cost 0 f_measure 0.7439888738037682 [0.838796,0.522772] kappa 0.3691099476439791 kb_relative_information_score 0.21336921779339463 mean_absolute_error 0.32961555959614974 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.759 [0.895714,0.44] number_of_instances 1000 [700,300] precision 0.7452462034054304 [0.788679,0.643902] predictive_accuracy 0.759 prior_entropy 0.8812914463598482 relative_absolute_error 0.784500690535256 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.40582394923595133 root_relative_squared_error 0.8855801240767036 total_cost 0 unweighted_recall 0.6678571428571428 [0.895714,0.44] area_under_roc_curve 0.8333333333333335 [0.833333,0.833333] area_under_roc_curve 0.7285714285714286 [0.728571,0.728571] area_under_roc_curve 0.7223809523809525 [0.722381,0.722381] area_under_roc_curve 0.7466666666666667 [0.746667,0.746667] area_under_roc_curve 0.7547619047619046 [0.754762,0.754762] area_under_roc_curve 0.7895238095238095 [0.789524,0.789524] area_under_roc_curve 0.7747619047619048 [0.774762,0.774762] area_under_roc_curve 0.8142857142857143 [0.814286,0.814286] area_under_roc_curve 0.8204761904761904 [0.820476,0.820476] area_under_roc_curve 0.8628571428571428 [0.862857,0.862857] 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 0.7515981735159818 [0.835616,0.555556] f_measure 0.714116427195971 [0.840764,0.418605] f_measure 0.735491512041058 [0.832215,0.509804] f_measure 0.7602875112309075 [0.843537,0.566038] f_measure 0.6931701539676273 [0.805369,0.431373] f_measure 0.7722983257229831 [0.849315,0.592593] f_measure 0.7223824451410656 [0.813793,0.509091] f_measure 0.7260464469475734 [0.836601,0.468085] f_measure 0.7611842105263159 [0.855263,0.541667] f_measure 0.7955939991890796 [0.874172,0.612245] kappa 0.393939393939394 kappa 0.28977272727272724 kappa 0.34895833333333337 kappa 0.41326530612244905 kappa 0.2447916666666666 kappa 0.44444444444444453 kappa 0.325 kappa 0.32065217391304346 kappa 0.4086021505376345 kappa 0.4946808510638299 kb_relative_information_score 0.22297685801461622 kb_relative_information_score 0.17034827895413848 kb_relative_information_score 0.13631508666647807 kb_relative_information_score 0.1678641932969522 kb_relative_information_score 0.17352918547582935 kb_relative_information_score 0.2383803140883824 kb_relative_information_score 0.22262940709389809 kb_relative_information_score 0.2362023529715463 kb_relative_information_score 0.25254393700629296 kb_relative_information_score 0.31290256436577635 mean_absolute_error 0.32699539577000003 mean_absolute_error 0.33977549446500005 mean_absolute_error 0.35612611924 mean_absolute_error 0.34443948267000013 mean_absolute_error 0.3390008292499999 mean_absolute_error 0.32342525507000003 mean_absolute_error 0.3210986131765001 mean_absolute_error 0.32564227773 mean_absolute_error 0.3217492243900001 mean_absolute_error 0.29790290420000004 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 0.7493421052631579 [0.802632,0.625] precision 0.7387267904509284 [0.758621,0.692308] precision 0.7350813743218807 [0.78481,0.619048] precision 0.7592885375494072 [0.805195,0.652174] precision 0.6887884267631104 [0.759494,0.52381] precision 0.7710526315789474 [0.815789,0.666667] precision 0.7186666666666666 [0.786667,0.56] precision 0.7338766832034019 [0.771084,0.647059] precision 0.7715447154471545 [0.792683,0.722222] precision 0.8072124756335282 [0.814815,0.789474] predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.71 predictive_accuracy 0.78 predictive_accuracy 0.73 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.81 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 0.7782645761556758 relative_absolute_error 0.8086818181803552 relative_absolute_error 0.8475970818966257 relative_absolute_error 0.8197823316753908 relative_absolute_error 0.806838078167457 relative_absolute_error 0.7697674716867923 relative_absolute_error 0.7642299534509565 relative_absolute_error 0.7750440909393336 relative_absolute_error 0.7657784390469823 relative_absolute_error 0.709023064152968 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 0.3888084804744925 root_mean_squared_error 0.42132866233710703 root_mean_squared_error 0.4290628905590173 root_mean_squared_error 0.41576768266607156 root_mean_squared_error 0.42610253524873093 root_mean_squared_error 0.40270276468302196 root_mean_squared_error 0.4146310967993283 root_mean_squared_error 0.3926135901612533 root_mean_squared_error 0.3939464967959443 root_mean_squared_error 0.36917755126191426 root_relative_squared_error 0.8484493412203292 root_relative_squared_error 0.9194141690554329 root_relative_squared_error 0.9362916323034547 root_relative_squared_error 0.9072791211452852 root_relative_squared_error 0.9298316098530047 root_relative_squared_error 0.8787691435792396 root_relative_squared_error 0.90479888838724 root_relative_squared_error 0.8567527681493494 root_relative_squared_error 0.8596614077827538 root_relative_squared_error 0.8056111579131428 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 0.6857142857142857 [0.871429,0.5] unweighted_recall 0.6214285714285714 [0.942857,0.3] unweighted_recall 0.6595238095238095 [0.885714,0.433333] unweighted_recall 0.6928571428571428 [0.885714,0.5] unweighted_recall 0.6119047619047618 [0.857143,0.366667] unweighted_recall 0.7095238095238094 [0.885714,0.533333] unweighted_recall 0.6547619047619048 [0.842857,0.466667] unweighted_recall 0.6404761904761904 [0.914286,0.366667] unweighted_recall 0.680952380952381 [0.928571,0.433333] unweighted_recall 0.7214285714285714 [0.942857,0.5] weighted_recall 0.76 [0.871429,0.5] weighted_recall 0.75 [0.942857,0.3] weighted_recall 0.75 [0.885714,0.433333] weighted_recall 0.77 [0.885714,0.5] weighted_recall 0.71 [0.857143,0.366667] weighted_recall 0.78 [0.885714,0.533333] weighted_recall 0.73 [0.842857,0.466667] weighted_recall 0.75 [0.914286,0.366667] weighted_recall 0.78 [0.928571,0.433333] weighted_recall 0.81 [0.942857,0.5]