Run
1815249

Run 1815249

Task 29 (Supervised Classification) credit-approval Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(16)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(16)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(16)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(16)_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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.8689
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.867
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7321
Cross-validation details (10-fold Crossvalidation)
KB relative information score
502.7216
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1333
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
0.8695
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2699
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3651
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7348
Cross-validation details (10-fold Crossvalidation)