Run
1815396

Run 1815396

Task 3896 (Supervised Classification) ada_agnostic Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(41)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(41)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(41)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(41)_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
0.7431
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8305
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.529
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2353.326
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1616
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8304
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8384
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8384
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4019
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9306
Cross-validation details (10-fold Crossvalidation)