Run
2087946

Run 2087946

Task 37 (Supervised Classification) diabetes Uploaded 27-04-2017 by Jeroen van Hoof
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

extra.neural_network.NeuralNetwork(2)Automatically created scikit-learn flow.
extra.neural_network.NeuralNetwork(2)_activationrelu
extra.neural_network.NeuralNetwork(2)_batch_size30
extra.neural_network.NeuralNetwork(2)_dropout0.5
extra.neural_network.NeuralNetwork(2)_epochs10
extra.neural_network.NeuralNetwork(2)_layer_size100
extra.neural_network.NeuralNetwork(2)_losssparse_categorical_crossentropy
extra.neural_network.NeuralNetwork(2)_metrics['accuracy']
extra.neural_network.NeuralNetwork(2)_n_layers3
extra.neural_network.NeuralNetwork(2)_optimizeradam
extra.neural_network.NeuralNetwork(2)_readoutsoftmax
extra.neural_network.NeuralNetwork(2)_verbose1

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

Area under ROC curve
0.4861
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5271
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0133
Cross-validation details (10-fold Crossvalidation)
KB relative information score
149.985
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3523
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5999
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.651
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.651
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7752
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5794
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2156
Cross-validation details (10-fold Crossvalidation)