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]