Run
1819853

Run 1819853

Task 37 (Supervised Classification) diabetes 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)_cp0.0140353510338784
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
0.7605
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7301
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.396
Cross-validation details (10-fold Crossvalidation)
KB relative information score
207.5822
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3371
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7294
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.737
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.737
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7418
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4313
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9048
Cross-validation details (10-fold Crossvalidation)