Run
7098491

Run 7098491

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 04-09-2017 by OpenML_Bot R
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Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.569318002555519
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.0361433749526508
mlr.classif.glmnet(11)_openml.seed1
mlr.classif.glmnet(11)_openml.kindMersenne-Twister
mlr.classif.glmnet(11)_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.

21 Evaluation measures

Area under ROC curve
0.5848
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4367
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0407
Cross-validation details (10-fold Crossvalidation)
KB relative information score
216.883
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4891
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
0.6474
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5665
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5665
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9886
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4927
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9905
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1271.5642
UserCPU time millis
0.722
UserCPU time millis testing
0.063
UserCPU time millis training
0.659