Run
1844577

Run 1844577

Task 125923 (Supervised Classification) Australian 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)_minbucket4
mlr.classif.rpart.preproc(18)_cp0.000170633557457944
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
0.8956
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8491
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6943
Cross-validation details (10-fold Crossvalidation)
KB relative information score
420.2386
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2056
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8491
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8493
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8493
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4163
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3352
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6745
Cross-validation details (10-fold Crossvalidation)