Run
1815387

Run 1815387

Task 3561 (Supervised Classification) profb Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.ranger.preproc.preproc.tuned(32)Learner mlr.classif.ranger.preproc.preproc.tuned from package(s) ranger.
mlr.classif.ranger.preproc.preproc.tuned(32)_openml.seed1
mlr.classif.ranger.preproc.preproc.tuned(32)_openml.kindMersenne-Twister
mlr.classif.ranger.preproc.preproc.tuned(32)_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
0.5502
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6147
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1224
Cross-validation details (10-fold Crossvalidation)
KB relative information score
164.1193
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3199
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4446
Cross-validation details (10-fold Crossvalidation)
Number of instances
672
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6513
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6801
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.6801
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7196
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5656
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1999
Cross-validation details (10-fold Crossvalidation)