Run
1816634

Run 1816634

Task 3543 (Supervised Classification) irish 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)_minbucket2
mlr.classif.rpart.preproc(16)_cp0.000386286968916277
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
0.9847
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.982
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9636
Cross-validation details (10-fold Crossvalidation)
KB relative information score
476.3282
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0262
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4938
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9821
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.982
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.991
Cross-validation details (10-fold Crossvalidation)
Recall
0.982
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0531
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1163
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2341
Cross-validation details (10-fold Crossvalidation)