Run
1815345

Run 1815345

Task 3493 (Supervised Classification) monks-problems-2 Uploaded 09-09-2016 by Michel Lang
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger.preproc.preproc.tuned(26)Learner mlr.classif.ranger.preproc.preproc.tuned from package(s) ranger.
mlr.classif.ranger.preproc.preproc.tuned(26)_openml.seed1
mlr.classif.ranger.preproc.preproc.tuned(26)_openml.kindMersenne-Twister
mlr.classif.ranger.preproc.preproc.tuned(26)_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
0.9962
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.995
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.989
Cross-validation details (10-fold Crossvalidation)
KB relative information score
593.7355
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9951
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.995
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.995
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0111
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0707
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1489
Cross-validation details (10-fold Crossvalidation)