Run
1823232

Run 1823232

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)_minsplit32
mlr.classif.rpart.preproc(16)_minbucket16
mlr.classif.rpart.preproc(16)_cp0.000274772691845575
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
0.3701
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2003
Cross-validation details (10-fold Crossvalidation)
KB relative information score
245.2818
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2786
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
0.3716
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3736
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.281
Cross-validation details (10-fold Crossvalidation)
Recall
0.3736
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8834
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3971
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3926
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9888
Cross-validation details (10-fold Crossvalidation)