Run
1817106

Run 1817106

Task 10101 (Supervised Classification) blood-transfusion-service-center 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)_minbucket4
mlr.classif.rpart.preproc(16)_cp0.0208062183828482
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
0.7011
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7644
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3159
Cross-validation details (10-fold Crossvalidation)
KB relative information score
96.8732
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3066
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7605
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7821
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7821
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8445
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3996
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9385
Cross-validation details (10-fold Crossvalidation)