Run
1823130

Run 1823130

Task 9906 (Supervised Classification) autoUniv-au7-1100 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)_minbucket16
mlr.classif.rpart.preproc(16)_cp0.0019490370968305
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
0.6692
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3756
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2069
Cross-validation details (10-fold Crossvalidation)
KB relative information score
241.1484
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2792
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3154
Cross-validation details (10-fold Crossvalidation)
Number of instances
1100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3778
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3809
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.281
Cross-validation details (10-fold Crossvalidation)
Recall
0.3809
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8852
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3971
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3915
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.986
Cross-validation details (10-fold Crossvalidation)