Run
1815540

Run 1815540

Task 9970 (Supervised Classification) hill-valley Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(67)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(67)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(67)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(67)_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
0.6477
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6068
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2954
Cross-validation details (10-fold Crossvalidation)
KB relative information score
358
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3523
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
1212
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.753
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6477
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6477
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7046
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5936
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1871
Cross-validation details (10-fold Crossvalidation)