Run
2087074

Run 2087074

Task 37 (Supervised Classification) diabetes Uploaded 24-04-2017 by Jeroen van Hoof
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  • extra.neural_network.NeuralNetwork Mon_Apr_24_13.53.59_2017 NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. Sklearn_0.18.1.
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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_layers2
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
0.4956
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5411
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0371
Cross-validation details (10-fold Crossvalidation)
KB relative information score
167.4674
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3414
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
0.654
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6576
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.6576
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7512
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5824
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.222
Cross-validation details (10-fold Crossvalidation)