OpenML
1830592

Run 1830592

Task 14964 (Supervised Classification) artificial-characters Uploaded 21-09-2016 by Rafael Gomes Mantovani
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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)_minbucket32
mlr.classif.rpart.preproc(16)_cp0.00191377219716652
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
0.9371
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5668
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5171
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6175.5953
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.179
Cross-validation details (10-fold Crossvalidation)
Number of instances
10218
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5827
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.567
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2849
Cross-validation details (10-fold Crossvalidation)
Recall
0.567
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5647
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2992
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2268
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7583
Cross-validation details (10-fold Crossvalidation)