Run
7097547

Run 7097547

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)_alpha0.851937466068193
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.00271180491302109
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
0.5983
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5478
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1052
Cross-validation details (10-fold Crossvalidation)
KB relative information score
662.8268
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4759
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
0.5682
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5754
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5754
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9619
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4867
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9786
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1267.8647
UserCPU time millis
39.503
UserCPU time millis testing
0.063
UserCPU time millis training
39.44