Run
1818958

Run 1818958

Task 9903 (Supervised Classification) autoUniv-au7-500 Uploaded 20-09-2016 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)_minsplit8
mlr.classif.rpart.preproc(16)_minbucket64
mlr.classif.rpart.preproc(16)_cp0.013932867746259
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
0.575
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2868
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0811
Cross-validation details (10-fold Crossvalidation)
KB relative information score
51.0983
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2893
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2286
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.39
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1516
Cross-validation details (10-fold Crossvalidation)
Recall
0.39
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9656
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3867
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9993
Cross-validation details (10-fold Crossvalidation)