Run
1823086

Run 1823086

Task 9906 (Supervised Classification) autoUniv-au7-1100 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)_minsplit128
mlr.classif.rpart.preproc(16)_minbucket4
mlr.classif.rpart.preproc(16)_cp0.0502520553508184
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
0.5573
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1999
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0554
Cross-validation details (10-fold Crossvalidation)
KB relative information score
80.3007
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3092
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3154
Cross-validation details (10-fold Crossvalidation)
Number of instances
1100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1783
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3027
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.281
Cross-validation details (10-fold Crossvalidation)
Recall
0.3027
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9805
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3971
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3936
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9911
Cross-validation details (10-fold Crossvalidation)