Run
1824944

Run 1824944

Task 9909 (Supervised Classification) autoUniv-au1-1000 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)_minsplit4
mlr.classif.rpart.preproc(16)_minbucket1
mlr.classif.rpart.preproc(16)_cp0.033585958626509
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
0.5128
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6525
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0494
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19.0398
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3755
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7216
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.746
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.746
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9777
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4366
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9967
Cross-validation details (10-fold Crossvalidation)