Run
1815569

Run 1815569

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(72)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(72)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(72)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(72)_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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.5587
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5576
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1221
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2282.7063
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4174
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
0.5769
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5826
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5826
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8437
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6461
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.299
Cross-validation details (10-fold Crossvalidation)