Run
1844908

Run 1844908

Task 125922 (Supervised Classification) texture Uploaded 09-12-2016 by Random Bot
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.rpart.preproc(18)Learner mlr.classif.rpart.preproc from package(s) rpart.
mlr.classif.rpart.preproc(18)_minsplit64
mlr.classif.rpart.preproc(18)_minbucket2
mlr.classif.rpart.preproc(18)_cp0.00347930770539191
mlr.classif.rpart.preproc(18)_xval0
mlr.classif.rpart.preproc(18)_openml.seed1
mlr.classif.rpart.preproc(18)_openml.kindMersenne-Twister
mlr.classif.rpart.preproc(18)_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
0.9754
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.861
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4620.61
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0369
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Number of instances
5500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8748
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8736
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.8736
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2233
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.489
Cross-validation details (10-fold Crossvalidation)