Run
1826530

Run 1826530

Task 9904 (Supervised Classification) autoUniv-au6-750 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)_minsplit16
mlr.classif.rpart.preproc(16)_minbucket16
mlr.classif.rpart.preproc(16)_cp0.0251164207913335
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
0.5569
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2075
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1231
Cross-validation details (10-fold Crossvalidation)
KB relative information score
61.5407
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2077
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2137
Cross-validation details (10-fold Crossvalidation)
Number of instances
750
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1652
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2933
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8958
Cross-validation details (10-fold Crossvalidation)
Recall
0.2933
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9715
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3269
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3233
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9889
Cross-validation details (10-fold Crossvalidation)