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]