OpenML
1853869

Run 1853869

Task 3903 (Supervised Classification) pc3 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)_alpha0.313193005975336
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.0119685835404792
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
0.7958
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8526
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0376
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-211.4635
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1646
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
0.8377
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8932
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.478
Cross-validation details (10-fold Crossvalidation)
Recall
0.8932
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8936
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2897
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9558
Cross-validation details (10-fold Crossvalidation)