Run
1845197

Run 1845197

Task 125920 (Supervised Classification) dresses-sales 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)_minsplit16
mlr.classif.rpart.preproc(18)_minbucket32
mlr.classif.rpart.preproc(18)_cp0.0227409215177745
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
0.5885
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5758
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1244
Cross-validation details (10-fold Crossvalidation)
KB relative information score
36.5215
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4538
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4873
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5765
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.588
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9816
Cross-validation details (10-fold Crossvalidation)
Recall
0.588
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9314
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4935
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9999
Cross-validation details (10-fold Crossvalidation)