Run
1819114

Run 1819114

Task 3561 (Supervised Classification) profb 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)_minsplit64
mlr.classif.rpart.preproc(16)_minbucket64
mlr.classif.rpart.preproc(16)_cp0.000672709288842724
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
0.6415
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6577
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2085
Cross-validation details (10-fold Crossvalidation)
KB relative information score
85.5416
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3905
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4446
Cross-validation details (10-fold Crossvalidation)
Number of instances
672
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.673
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6949
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.6949
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8782
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4589
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9736
Cross-validation details (10-fold Crossvalidation)