OpenML
1854374

Run 1854374

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)_alpha0.156430942006409
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.120728087421876
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
0.587
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4092
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0173
Cross-validation details (10-fold Crossvalidation)
KB relative information score
146.8603
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.491
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
0.6893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.558
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.558
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9925
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4941
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9933
Cross-validation details (10-fold Crossvalidation)