OpenML
1854945

Run 1854945

Task 3891 (Supervised Classification) gina_agnostic 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)_alpha0.454121924703941
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.103376676574471
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
0.9112
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8363
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6726
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1411.3474
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3209
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4999
Cross-validation details (10-fold Crossvalidation)
Number of instances
3468
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8374
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8365
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8365
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6421
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.73
Cross-validation details (10-fold Crossvalidation)