Run
2083522

Run 2083522

Task 3647 (Supervised Classification) rabe_266 Uploaded 22-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.0. Python_3.6.0. run_task Sat_Apr_22_18.38.54_2017 SciPy_0.19.0. sklearn.neural_network.multilayer_perceptron.MLPClassifier Sklearn_0.18.1.
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Flow

sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)Automatically created scikit-learn flow.
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_activationlogistic
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_alpha0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_batch_sizeauto
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_beta_10.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_beta_20.999
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_early_stoppingFalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_epsilon1e-08
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_hidden_layer_sizes(100,)
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_learning_rateconstant
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_learning_rate_init0.01
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_max_iter1000
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_momentum0.03
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_nesterovs_momentumTrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_power_t0.5
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_random_stateNone
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_shuffleTrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_solversgd
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_tol0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_validation_fraction0.1
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_verboseTrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_warm_startFalse

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
0.9786
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9333
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.867
Cross-validation details (10-fold Crossvalidation)
KB relative information score
89.951
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1381
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4988
Cross-validation details (10-fold Crossvalidation)
Number of instances
120
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.938
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9983
Cross-validation details (10-fold Crossvalidation)
Recall
0.9333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2768
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2434
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4873
Cross-validation details (10-fold Crossvalidation)