Run
1825296

Run 1825296

Task 14968 (Supervised Classification) cylinder-bands Uploaded 21-09-2016 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)_minsplit2
mlr.classif.rpart.preproc(16)_minbucket4
mlr.classif.rpart.preproc(16)_cp0.0118189920729787
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
0.7044
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6977
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3768
Cross-validation details (10-fold Crossvalidation)
KB relative information score
170.8763
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3389
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4879
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.699
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7019
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.7019
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6946
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4941
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0004
Cross-validation details (10-fold Crossvalidation)