Run
1828435

Run 1828435

Task 36 (Supervised Classification) segment 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)_minbucket32
mlr.classif.rpart.preproc(16)_cp0.000740754368544878
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
0.9861
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.92
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9061
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2072.87
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.034
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2449
Cross-validation details (10-fold Crossvalidation)
Number of instances
2310
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9226
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9195
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8074
Cross-validation details (10-fold Crossvalidation)
Recall
0.9195
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1387
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3499
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1353
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3867
Cross-validation details (10-fold Crossvalidation)