OpenML
1853865

Run 1853865

Task 3903 (Supervised Classification) pc3 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)_alpha0.440523704746738
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00414663525833455
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
0.7976
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8539
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0521
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-212.3827
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1625
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1842
Cross-validation details (10-fold Crossvalidation)
Number of instances
1563
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8396
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8919
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.478
Cross-validation details (10-fold Crossvalidation)
Recall
0.8919
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8825
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2888
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9529
Cross-validation details (10-fold Crossvalidation)