OpenML
1855966

Run 1855966

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)_alpha0.41258735395968
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.210357665253844
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
0.9261
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8527
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2947
Cross-validation details (10-fold Crossvalidation)
KB relative information score
959.2037
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1898
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
0.8947
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8866
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.8866
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7877
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2835
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8171
Cross-validation details (10-fold Crossvalidation)