10464837 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 21854386 description https://api.openml.org/data/download/21854386/description.xml -1 21854387 predictions https://api.openml.org/data/download/21854387/predictions.arff area_under_roc_curve 0.7618666666666668 [0.761867,0.761867] average_cost 0 f_measure 0.6508098408650894 [0.830281,0.232044] kappa 0.14408866995073877 kb_relative_information_score 0.27418320510253685 mean_absolute_error 0.29100212203903 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.722 [0.971429,0.14] number_of_instances 1000 [700,300] precision 0.7106884930187771 [0.724947,0.677419] predictive_accuracy 0.722 prior_entropy 0.8812914463598482 relative_absolute_error 0.6925988747817309 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.45055169411988943 root_relative_squared_error 0.9831840282784227 total_cost 0 unweighted_recall 0.5557142857142857 [0.971429,0.14] area_under_roc_curve 0.8080952380952381 [0.808095,0.808095] area_under_roc_curve 0.7223809523809525 [0.722381,0.722381] area_under_roc_curve 0.6876190476190476 [0.687619,0.687619] area_under_roc_curve 0.7138095238095238 [0.71381,0.71381] area_under_roc_curve 0.7647619047619049 [0.764762,0.764762] area_under_roc_curve 0.8066666666666668 [0.806667,0.806667] area_under_roc_curve 0.7723809523809524 [0.772381,0.772381] area_under_roc_curve 0.8076190476190476 [0.807619,0.807619] area_under_roc_curve 0.7909523809523811 [0.790952,0.790952] area_under_roc_curve 0.830952380952381 [0.830952,0.830952] 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 0.6990958408679927 [0.835443,0.380952] f_measure 0.6413718018508437 [0.838323,0.181818] f_measure 0.6087880935506732 [0.819277,0.117647] f_measure 0.599236495514411 [0.828402,0.064516] f_measure 0.5882416984213391 [0.814371,0.060606] f_measure 0.714116427195971 [0.840764,0.418605] f_measure 0.6823911630929176 [0.839506,0.315789] f_measure 0.6208333333333332 [0.833333,0.125] f_measure 0.6283982683982684 [0.824242,0.171429] f_measure 0.683571099861942 [0.830189,0.341463] kappa 0.2528735632183907 kappa 0.13461538461538472 kappa 0.050632911392404764 kappa 0.0460526315789474 kappa 0.006410256410256415 kappa 0.28977272727272724 kappa 0.21686746987951797 kappa 0.09090909090909098 kappa 0.09374999999999975 kappa 0.21511627906976732 kb_relative_information_score 0.28004441005636554 kb_relative_information_score 0.27027980372436 kb_relative_information_score 0.2295531128066205 kb_relative_information_score 0.26377046077909183 kb_relative_information_score 0.22904612121101142 kb_relative_information_score 0.2936775835235279 kb_relative_information_score 0.2900553445707348 kb_relative_information_score 0.2797918284364369 kb_relative_information_score 0.28726174754978395 kb_relative_information_score 0.31835163836738994 mean_absolute_error 0.29257866731150006 mean_absolute_error 0.29309459634750007 mean_absolute_error 0.308954210376 mean_absolute_error 0.29182767798529996 mean_absolute_error 0.3031708695345 mean_absolute_error 0.2856332045805 mean_absolute_error 0.28423681618249996 mean_absolute_error 0.28642624920099996 mean_absolute_error 0.287205676725 mean_absolute_error 0.27689325214649996 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 0.725 [0.75,0.666667] precision 0.8051546391752578 [0.721649,1] precision 0.6458333333333335 [0.708333,0.5] precision 0.794949494949495 [0.707071,1] precision 0.5907216494845361 [0.701031,0.333333] precision 0.7387267904509284 [0.758621,0.692308] precision 0.742391304347826 [0.73913,0.75] precision 0.8 [0.714286,1] precision 0.6810526315789474 [0.715789,0.6] precision 0.7100102145045966 [0.741573,0.636364] predictive_accuracy 0.74 predictive_accuracy 0.73 predictive_accuracy 0.7 predictive_accuracy 0.71 predictive_accuracy 0.69 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.72 predictive_accuracy 0.71 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 0.6963511274254693 relative_absolute_error 0.6975790630408423 relative_absolute_error 0.7353256978545167 relative_absolute_error 0.6945637371526605 relative_absolute_error 0.7215610719087138 relative_absolute_error 0.6798205961749657 relative_absolute_error 0.6764971254509846 relative_absolute_error 0.6817080800460843 relative_absolute_error 0.6835631545806403 relative_absolute_error 0.6590190941824051 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 0.42453799807756354 root_mean_squared_error 0.46726284637185295 root_mean_squared_error 0.470143957053064 root_mean_squared_error 0.4822322434721282 root_mean_squared_error 0.48421843189397784 root_mean_squared_error 0.4268937912581744 root_mean_squared_error 0.4414303283763802 root_mean_squared_error 0.45589547934796054 root_mean_squared_error 0.43229230456166223 root_mean_squared_error 0.41416672494281526 root_relative_squared_error 0.9264175111415472 root_relative_squared_error 1.0196507383201054 root_relative_squared_error 1.0259378348784758 root_relative_squared_error 1.0523166284588554 root_relative_squared_error 1.056650845284582 root_relative_squared_error 0.9315582713680253 root_relative_squared_error 0.9632795839446312 root_relative_squared_error 0.9948451192372574 root_relative_squared_error 0.9433387887330881 root_relative_squared_error 0.903785546303603 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 0.6047619047619047 [0.942857,0.266667] unweighted_recall 0.55 [1,0.1] unweighted_recall 0.5190476190476191 [0.971429,0.066667] unweighted_recall 0.5166666666666667 [1,0.033333] unweighted_recall 0.5023809523809524 [0.971429,0.033333] unweighted_recall 0.6214285714285714 [0.942857,0.3] unweighted_recall 0.5857142857142857 [0.971429,0.2] unweighted_recall 0.5333333333333333 [1,0.066667] unweighted_recall 0.5357142857142857 [0.971429,0.1] unweighted_recall 0.5880952380952381 [0.942857,0.233333] weighted_recall 0.74 [0.942857,0.266667] weighted_recall 0.73 [1,0.1] weighted_recall 0.7 [0.971429,0.066667] weighted_recall 0.71 [1,0.033333] weighted_recall 0.69 [0.971429,0.033333] weighted_recall 0.75 [0.942857,0.3] weighted_recall 0.74 [0.971429,0.2] weighted_recall 0.72 [1,0.066667] weighted_recall 0.71 [0.971429,0.1] weighted_recall 0.73 [0.942857,0.233333]