OpenML
555182

Run 555182

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 12-04-2016 by Tho Le
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  • NumPy_1.11.0. Python_2.7.11. run_task SciPy_0.17.0. sklearn.neural_network.multilayer_perceptron.MLPClassifier Sklearn_0.18.dev0. Tue_Apr_12_20.56.19_2016
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Flow

sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)Flow generated by run_task
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_beta_10.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_warm_startFalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_beta_20.999
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_shuffleTrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_nesterovs_momentumTrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_algorithmadam
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_hidden_layer_sizes5000
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_epsilon1e-08
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_activationrelu
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_max_iter200
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_batch_sizeauto
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_power_t0.5
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_random_stateNone
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_learning_rate_init0.001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_tol0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_validation_fraction0.1
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_alpha0.0001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_momentum0.9
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_learning_rateconstant
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_early_stoppingFalse
sklearn.neural_network.multilayer_perceptron.MLPClassifier(1)_verboseFalse

Result files

Description

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

Predictions

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

17 Evaluation measures

Area under ROC curve
0.5099
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5015
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0229
Cross-validation details (10-fold Crossvalidation)
KB relative information score
719.9631
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4697
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5198
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5389
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5389
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9494
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6344
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2755
Cross-validation details (10-fold Crossvalidation)