Run
1815223

Run 1815223

Task 21 (Supervised Classification) car Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(11)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(11)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(11)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(11)_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
0.8827
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8594
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7094
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1079.0215
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0648
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8666
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8704
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.8704
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2831
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2546
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.753
Cross-validation details (10-fold Crossvalidation)