OpenML
1830429

Run 1830429

Task 14964 (Supervised Classification) artificial-characters 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)_minsplit2
mlr.classif.rpart.preproc(16)_minbucket64
mlr.classif.rpart.preproc(16)_cp0.00545192631387155
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
0.8968
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4799
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4126
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5173.1299
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1186
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
0.517
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4708
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2849
Cross-validation details (10-fold Crossvalidation)
Recall
0.4708
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6628
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2992
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2444
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8169
Cross-validation details (10-fold Crossvalidation)