OpenML
1854198

Run 1854198

Task 3485 (Supervised Classification) scene 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)_alpha0.968090596608818
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.0555554591541676
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
0.9806
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7877
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1839
Cross-validation details (10-fold Crossvalidation)
KB relative information score
779.7728
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2193
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8679
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8425
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8425
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7456
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2935
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7656
Cross-validation details (10-fold Crossvalidation)