Run
1817877

Run 1817877

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 20-09-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.rpart.preproc(16)Learner mlr.classif.rpart.preproc from package(s) rpart.
mlr.classif.rpart.preproc(16)_minsplit4
mlr.classif.rpart.preproc(16)_minbucket8
mlr.classif.rpart.preproc(16)_cp0.000418643642385955
mlr.classif.rpart.preproc(16)_xval0
mlr.classif.rpart.preproc(16)_openml.seed1
mlr.classif.rpart.preproc(16)_openml.kindMersenne-Twister
mlr.classif.rpart.preproc(16)_openml.normal.kindInversion

Result files

rds
BenchmarkResult

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9707
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8579
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7158
Cross-validation details (10-fold Crossvalidation)
KB relative information score
432.2041
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1085
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
556
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8585
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8579
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8579
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2171
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2478
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4956
Cross-validation details (10-fold Crossvalidation)