Run
1844930

Run 1844930

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)_minsplit32
mlr.classif.rpart.preproc(18)_minbucket16
mlr.classif.rpart.preproc(18)_cp0.000240097959517201
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
0.9827
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8959
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8854
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4848.1544
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0268
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
0.896
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8958
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.8958
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1622
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1248
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4341
Cross-validation details (10-fold Crossvalidation)