Run
1815264

Run 1815264

Task 36 (Supervised Classification) segment Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(19)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(19)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(19)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(19)_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
0.9348
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8878
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8697
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2031.5618
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0319
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2449
Cross-validation details (10-fold Crossvalidation)
Number of instances
2310
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8894
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8883
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8074
Cross-validation details (10-fold Crossvalidation)
Recall
0.8883
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1303
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3499
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1786
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5105
Cross-validation details (10-fold Crossvalidation)