Run
1819184

Run 1819184

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)_minsplit32
mlr.classif.rpart.preproc(16)_minbucket16
mlr.classif.rpart.preproc(16)_cp0.0495444751870207
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
0.645
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6748
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.249
Cross-validation details (10-fold Crossvalidation)
KB relative information score
95.912
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3868
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
0.7005
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7128
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.7128
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8701
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4536
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9621
Cross-validation details (10-fold Crossvalidation)