Run
1815473

Run 1815473

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(55)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(55)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(55)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(55)_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
0.5935
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5392
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1854
Cross-validation details (10-fold Crossvalidation)
KB relative information score
548.2353
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2963
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5285
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5556
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.5556
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7808
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5443
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2498
Cross-validation details (10-fold Crossvalidation)