OpenML
1822661

Run 1822661

Task 3022 (Supervised Classification) vowel 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)_minsplit8
mlr.classif.rpart.preproc(16)_minbucket32
mlr.classif.rpart.preproc(16)_cp0.00346591984955391
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
0.9093
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5495
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5056
Cross-validation details (10-fold Crossvalidation)
KB relative information score
533.5722
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Number of instances
990
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.566
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5505
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.5505
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6054
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2334
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.812
Cross-validation details (10-fold Crossvalidation)