Run
1821672

Run 1821672

Task 3913 (Supervised Classification) kc2 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)_minsplit64
mlr.classif.rpart.preproc(16)_minbucket16
mlr.classif.rpart.preproc(16)_cp0.0038828063373002
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
0.7393
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8181
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4035
Cross-validation details (10-fold Crossvalidation)
KB relative information score
156.2899
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2243
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3266
Cross-validation details (10-fold Crossvalidation)
Number of instances
522
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8191
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8352
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.734
Cross-validation details (10-fold Crossvalidation)
Recall
0.8352
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6867
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4037
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3445
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8534
Cross-validation details (10-fold Crossvalidation)