OpenML
1855972

Run 1855972

Task 6566 (Supervised Classification) Internet-Advertisements 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)_alpha0.123642463935539
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.614897429083935
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
0.9431
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8281
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1681
Cross-validation details (10-fold Crossvalidation)
KB relative information score
782.7761
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2026
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2409
Cross-validation details (10-fold Crossvalidation)
Number of instances
3279
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8827
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.874
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.874
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.841
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2977
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.858
Cross-validation details (10-fold Crossvalidation)