Run
7097338

Run 7097338

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)_alpha0.237395065603778
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.0146101956011862
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
0.6075
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.542
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1032
Cross-validation details (10-fold Crossvalidation)
KB relative information score
625.8954
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4775
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
0.5714
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.577
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.577
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.965
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4863
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9777
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1293.6614
UserCPU time millis
1.209
UserCPU time millis testing
0.073
UserCPU time millis training
1.136