Run
2088194

Run 2088194

Task 11 (Supervised Classification) balance-scale Uploaded 28-04-2017 by Jeroen van Hoof
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Flow

sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)Automatically created scikit-learn flow.
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_activationtanh
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_alpha0.001
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, 100, 100)
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_learning_rateconstant
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_learning_rate_init0.001
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_max_iter500
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_momentum0.9
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_state3
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_shuffleTrue
sklearn.neural_network.multilayer_perceptron.MLPClassifier(3)_solverlbfgs
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)_verboseFalse
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9953
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9916
Cross-validation details (10-fold Crossvalidation)
KB relative information score
617.3996
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0046
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9955
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9952
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.9952
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.012
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0547
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1255
Cross-validation details (10-fold Crossvalidation)