Run
1820135

Run 1820135

Task 15 (Supervised Classification) breast-w 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)_minbucket32
mlr.classif.rpart.preproc(16)_cp0.0117586209679006
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
0.9449
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9179
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8206
Cross-validation details (10-fold Crossvalidation)
KB relative information score
525.8134
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.118
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.921
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.917
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.917
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2612
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2527
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5316
Cross-validation details (10-fold Crossvalidation)