OpenML
10559776

Run 10559776

Task 31 (Supervised Classification) credit-g Uploaded 09-03-2021 by Prabhant Singh
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Flow

keras.engine.sequential.Sequential.3004bddd(5)Automatically created keras flow.
keras.engine.sequential.Sequential.3004bddd(5)_backend"tensorflow"
keras.engine.sequential.Sequential.3004bddd(5)_class_name"Sequential"
keras.engine.sequential.Sequential.3004bddd(5)_config{"name": "sequential_1"}
keras.engine.sequential.Sequential.3004bddd(5)_keras_version"2.2.4"
keras.engine.sequential.Sequential.3004bddd(5)_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}}
keras.engine.sequential.Sequential.3004bddd(5)_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}}
keras.engine.sequential.Sequential.3004bddd(5)_layer2_dropout_1{"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}}
keras.engine.sequential.Sequential.3004bddd(5)_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}}
keras.engine.sequential.Sequential.3004bddd(5)_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}

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

Area under ROC curve
0.2156 ± 0.0522
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2224 ± 0.0487
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.2541 ± 0.0645
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.8021 ± 0.0531
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.6858 ± 0.0194
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.243 ± 0.0371
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3269 ± 0.0611
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.243 ± 0.0371
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.6322 ± 0.0462
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.7313 ± 0.0154
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.5959 ± 0.0336
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.3174 ± 0.0446
Cross-validation details (10-fold Crossvalidation)