Run
1820575

Run 1820575

Task 9905 (Supervised Classification) autoUniv-au7-700 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)_cp0.00779420930134283
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
0.684
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4861
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2443
Cross-validation details (10-fold Crossvalidation)
KB relative information score
165.8501
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4809
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4971
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.4971
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8413
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4423
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.939
Cross-validation details (10-fold Crossvalidation)