OpenML
1854396

Run 1854396

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 27-03-2017 by Philipp Probst
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Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.01459731743671
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00153386219758431
mlr.classif.glmnet(4)_openml.seed1
mlr.classif.glmnet(4)_openml.kindMersenne-Twister
mlr.classif.glmnet(4)_openml.normal.kindInversion

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
0.6155
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5702
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1391
Cross-validation details (10-fold Crossvalidation)
KB relative information score
897.9035
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4693
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
0.5819
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5876
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5876
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9485
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.484
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9731
Cross-validation details (10-fold Crossvalidation)