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]