Run
1818000

Run 1818000

Task 3560 (Supervised Classification) analcatdata_dmft 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)_minsplit2
mlr.classif.rpart.preproc(16)_minbucket16
mlr.classif.rpart.preproc(16)_cp0.00366404978286075
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
0.5554
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2071
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0492
Cross-validation details (10-fold Crossvalidation)
KB relative information score
68.6675
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2727
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2774
Cross-validation details (10-fold Crossvalidation)
Number of instances
797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2112
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.212
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5803
Cross-validation details (10-fold Crossvalidation)
Recall
0.212
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9831
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3724
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3763
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0103
Cross-validation details (10-fold Crossvalidation)