Run
1824907

Run 1824907

Task 9909 (Supervised Classification) autoUniv-au1-1000 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)_minsplit64
mlr.classif.rpart.preproc(16)_minbucket8
mlr.classif.rpart.preproc(16)_cp0.0068945059352498
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
0.6967
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.779
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3908
Cross-validation details (10-fold Crossvalidation)
KB relative information score
193.5088
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3112
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7908
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.802
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.802
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8103
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.397
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9061
Cross-validation details (10-fold Crossvalidation)