Run
10228040

Run 10228040

Task 31 (Supervised Classification) credit-g Uploaded 13-05-2019 by Adrian-Stefan Mares
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Flow

keras.engine.training.Model.7736257d(1)Automatically created keras flow.
keras.engine.training.Model.7736257d(1)_backend"tensorflow"
keras.engine.training.Model.7736257d(1)_class_name"Model"
keras.engine.training.Model.7736257d(1)_config{"input_layers": [["input_1", 0, 0]], "name": "model_1", "output_layers": [["dense_4", 0, 0]]}
keras.engine.training.Model.7736257d(1)_keras_version"2.2.4"
keras.engine.training.Model.7736257d(1)_layer0_input_1{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 20], "dtype": "float32", "name": "input_1", "sparse": false}, "inbound_nodes": [], "name": "input_1"}
keras.engine.training.Model.7736257d(1)_layer1_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}, "inbound_nodes": [[["input_1", 0, 0, {}]]], "name": "batch_normalization_1"}
keras.engine.training.Model.7736257d(1)_layer2_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": 64, "use_bias": true}, "inbound_nodes": [[["batch_normalization_1", 0, 0, {}]]], "name": "dense_1"}
keras.engine.training.Model.7736257d(1)_layer3_dense_2{"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_2", "trainable": true, "units": 64, "use_bias": true}, "inbound_nodes": [[["batch_normalization_1", 0, 0, {}]]], "name": "dense_2"}
keras.engine.training.Model.7736257d(1)_layer4_concatenate_1{"class_name": "Concatenate", "config": {"axis": -1, "name": "concatenate_1", "trainable": true}, "inbound_nodes": [[["dense_1", 0, 0, {}], ["dense_2", 0, 0, {}]]], "name": "concatenate_1"}
keras.engine.training.Model.7736257d(1)_layer5_dense_3{"class_name": "Dense", "config": {"activation": "sigmoid", "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_3", "trainable": true, "units": 64, "use_bias": true}, "inbound_nodes": [[["concatenate_1", 0, 0, {}]]], "name": "dense_3"}
keras.engine.training.Model.7736257d(1)_layer6_dropout_1{"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}, "inbound_nodes": [[["dense_3", 0, 0, {}]]], "name": "dropout_1"}
keras.engine.training.Model.7736257d(1)_layer7_dense_4{"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_4", "trainable": true, "units": 2, "use_bias": true}, "inbound_nodes": [[["dropout_1", 0, 0, {}]]], "name": "dense_4"}
keras.engine.training.Model.7736257d(1)_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.

17 Evaluation measures

0.7455 ± 0.0457
Per class
Cross-validation details (10-fold Crossvalidation)
0.5948 ± 0.0315
Per class
Cross-validation details (10-fold Crossvalidation)
0.0369 ± 0.0657
Cross-validation details (10-fold Crossvalidation)
91.1547 ± 2.729
Cross-validation details (10-fold Crossvalidation)
0.3826 ± 0.0101
Cross-validation details (10-fold Crossvalidation)
0.4202
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
0.794 ± 0.0079
Per class
Cross-validation details (10-fold Crossvalidation)
0.708 ± 0.0148
Cross-validation details (10-fold Crossvalidation)
0.8818
Cross-validation details (10-fold Crossvalidation)
0.708 ± 0.0148
Per class
Cross-validation details (10-fold Crossvalidation)
0.9105 ± 0.0241
Cross-validation details (10-fold Crossvalidation)
0.4583
Cross-validation details (10-fold Crossvalidation)
0.4319 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
0.9426 ± 0.0115
Cross-validation details (10-fold Crossvalidation)