OpenML
1855995

Run 1855995

Task 6566 (Supervised Classification) Internet-Advertisements Uploaded 27-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.365422945702448
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00460572322403367
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
0.9685
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9717
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8792
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2621.6776
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0468
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
0.9724
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9726
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.9726
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.194
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1504
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4336
Cross-validation details (10-fold Crossvalidation)