10559662 9186 Prabhant Singh 31 Supervised Classification 18578 tensorflow.python.keras.engine.sequential.Sequential.7d17cfb(1) 8275510 backend "tensorflow" 18578 class_name "Sequential" 18578 config {"name": "sequential"} 18578 layer0_batch_normalization {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "dtype": "float32", "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", "scale": true, "trainable": true}} 18578 layer1_dense {"class_name": "Dense", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "kernel_regularizer": null, "name": "dense", "trainable": true, "units": 1024, "use_bias": true}} 18578 layer2_dropout {"class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout", "noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}} 18578 layer3_dense_1 {"class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 2, "use_bias": true}} 18578 optimizer {"loss": "sparse_categorical_crossentropy", "metrics": [], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.9, "beta_2": 0.999, "decay": 0.0, "epsilon": 1e-07, "learning_rate": 0.001, "name": "Adam"}}, "weighted_metrics": []} 18578 tensorflow_version "2.2.0" 18578 Keras_2.2.0. openml-python 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 22044321 description https://api.openml.org/data/download/22044321/description.xml -1 22044322 predictions https://api.openml.org/data/download/22044322/predictions.arff area_under_roc_curve 0.7619778571428572 [0.761979,0.761976] average_cost 0 f_measure 0.6413053658672967 [0.831923,0.196532] kappa 0.12688442211055273 kb_relative_information_score 0.27149533493413797 mean_absolute_error 0.2892303816920997 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.722 [0.982857,0.113333] number_of_instances 1000 [700,300] precision 0.7265609333697931 [0.721174,0.73913] predictive_accuracy 0.722 prior_entropy 0.8812914463598482 relative_absolute_error 0.6883820485878492 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.4642895952865915 root_relative_squared_error 1.013162574992254 total_cost 0 unweighted_recall 0.5480952380952381 [0.982857,0.113333] area_under_roc_curve 0.8519047619047619 [0.851905,0.851905] area_under_roc_curve 0.7328571428571429 [0.732857,0.732857] area_under_roc_curve 0.6942857142857143 [0.694286,0.694286] area_under_roc_curve 0.7138095238095238 [0.71381,0.71381] area_under_roc_curve 0.7461904761904762 [0.74619,0.74619] area_under_roc_curve 0.8095238095238095 [0.809524,0.809524] area_under_roc_curve 0.7685714285714286 [0.768571,0.768571] area_under_roc_curve 0.7980952380952381 [0.798095,0.798095] area_under_roc_curve 0.7790476190476191 [0.779048,0.779048] area_under_roc_curve 0.822857142857143 [0.822857,0.822857] 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 0.599236495514411 [0.828402,0.064516] f_measure 0.6208333333333332 [0.833333,0.125] f_measure 0.599236495514411 [0.828402,0.064516] f_measure 0.6796536796536796 [0.848485,0.285714] f_measure 0.59375 [0.821429,0.0625] f_measure 0.6990958408679927 [0.835443,0.380952] f_measure 0.6208333333333332 [0.833333,0.125] f_measure 0.69125 [0.8375,0.35] f_measure 0.683571099861942 [0.830189,0.341463] kappa 0.0460526315789474 kappa 0.09090909090909098 kappa 0.0460526315789474 kappa 0.2187499999999999 kappa 0.025974025974025993 kappa 0.2528735632183907 kappa 0.09090909090909098 kappa 0 kappa 0.23529411764705874 kappa 0.21511627906976732 kb_relative_information_score 0.26879271049625286 kb_relative_information_score 0.27463751597274855 kb_relative_information_score 0.23074832723377448 kb_relative_information_score 0.28589641002893673 kb_relative_information_score 0.2373111570275008 kb_relative_information_score 0.29360003981271665 kb_relative_information_score 0.2752686286431976 kb_relative_information_score 0.2551983780408072 kb_relative_information_score 0.29245199426041346 kb_relative_information_score 0.3010481878249876 mean_absolute_error 0.2859611489827 mean_absolute_error 0.2889938547784 mean_absolute_error 0.303514633736 mean_absolute_error 0.2880453160814999 mean_absolute_error 0.30039207190929995 mean_absolute_error 0.2846058146595 mean_absolute_error 0.28729399943059997 mean_absolute_error 0.290465767683 mean_absolute_error 0.282681543931 mean_absolute_error 0.28034966572899994 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 0.794949494949495 [0.707071,1] precision 0.8 [0.714286,1] precision 0.794949494949495 [0.707071,1] precision 0.8157894736842104 [0.736842,1] precision 0.6428571428571428 [0.704082,0.5] precision 0.725 [0.75,0.666667] precision 0.8 [0.714286,1] precision 0.7311111111111112 [0.744444,0.7] precision 0.7100102145045966 [0.741573,0.636364] predictive_accuracy 0.71 predictive_accuracy 0.72 predictive_accuracy 0.71 predictive_accuracy 0.75 predictive_accuracy 0.7 predictive_accuracy 0.74 predictive_accuracy 0.72 predictive_accuracy 0.7 predictive_accuracy 0.74 predictive_accuracy 0.73 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 0.6806011194315081 relative_absolute_error 0.6878191032968084 relative_absolute_error 0.7223792470391248 relative_absolute_error 0.6855615361369654 relative_absolute_error 0.7149474015513494 relative_absolute_error 0.6773753593558637 relative_absolute_error 0.6837733668158211 relative_absolute_error 0.6913223259343598 relative_absolute_error 0.6727955036077471 relative_absolute_error 0.6672455227089251 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 0.4583275210350478 root_mean_squared_error 0.47745700577497346 root_mean_squared_error 0.49198099689181074 root_mean_squared_error 0.45690687641198957 root_mean_squared_error 0.48406627155799703 root_mean_squared_error 0.43280668522997945 root_mean_squared_error 0.4698113491462504 root_mean_squared_error 0.4988430819693519 root_mean_squared_error 0.43934856238193337 root_mean_squared_error 0.42728645365225243 root_relative_squared_error 1.0001522672827716 root_relative_squared_error 1.0418962094562219 root_relative_squared_error 1.0735901444237206 root_relative_squared_error 0.9970521677348632 root_relative_squared_error 1.056318804335616 root_relative_squared_error 0.9444612589493694 root_relative_squared_error 1.025212025196865 root_relative_squared_error 1.0885644360243882 root_relative_squared_error 0.9587367998355816 root_relative_squared_error 0.9324151306350117 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 0.5166666666666667 [1,0.033333] unweighted_recall 0.5333333333333333 [1,0.066667] unweighted_recall 0.5166666666666667 [1,0.033333] unweighted_recall 0.5833333333333334 [1,0.166667] unweighted_recall 0.5095238095238096 [0.985714,0.033333] unweighted_recall 0.6047619047619047 [0.942857,0.266667] unweighted_recall 0.5333333333333333 [1,0.066667] unweighted_recall 0.5 [1,0] unweighted_recall 0.5952380952380952 [0.957143,0.233333] unweighted_recall 0.5880952380952381 [0.942857,0.233333] weighted_recall 0.71 [1,0.033333] weighted_recall 0.72 [1,0.066667] weighted_recall 0.71 [1,0.033333] weighted_recall 0.75 [1,0.166667] weighted_recall 0.7 [0.985714,0.033333] weighted_recall 0.74 [0.942857,0.266667] weighted_recall 0.72 [1,0.066667] weighted_recall 0.7 [1,0] weighted_recall 0.74 [0.957143,0.233333] weighted_recall 0.73 [0.942857,0.233333]