Run
1825442

Run 1825442

Task 3918 (Supervised Classification) pc1 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)_minsplit32
mlr.classif.rpart.preproc(16)_minbucket4
mlr.classif.rpart.preproc(16)_cp0.00399370012400861
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
0.7888
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9118
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2661
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-204.2191
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1045
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9065
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9188
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.9188
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8046
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.245
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9639
Cross-validation details (10-fold Crossvalidation)