Run
1822250

Run 1822250

Task 21 (Supervised Classification) car 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)_minsplit16
mlr.classif.rpart.preproc(16)_minbucket2
mlr.classif.rpart.preproc(16)_cp0.0244746200250001
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
0.9734
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9116
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8069
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1300.1002
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0666
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9155
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9091
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9091
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2909
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1863
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5509
Cross-validation details (10-fold Crossvalidation)