Run
571662

Run 571662

Task 29 (Supervised Classification) credit-approval Uploaded 05-05-2016 by Rafael Gomes Mantovani
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Flow

classif.cvglmnet(2)Learner classif.cvglmnet from package(s) glmnet.
classif.cvglmnet(2)_openml.seed1
classif.cvglmnet(2)_openml.kindMersenne-Twister
classif.cvglmnet(2)_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.

20 Evaluation measures

Area under ROC curve
0.8617
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8555
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7114
Cross-validation details (10-fold Crossvalidation)
KB relative information score
486.4396
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1449
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8656
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2934
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3807
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.766
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
9.946
UserCPU time millis testing
0.196
UserCPU time millis training
9.75