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]