Run
1826870

Run 1826870

Task 2 (Supervised Classification) anneal 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)_minsplit4
mlr.classif.rpart.preproc(16)_minbucket32
mlr.classif.rpart.preproc(16)_cp0.0309731324850328
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
0.7103
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7459
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3228
Cross-validation details (10-fold Crossvalidation)
KB relative information score
264.0376
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7371
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7929
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.7929
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.753
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2294
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8883
Cross-validation details (10-fold Crossvalidation)