Run
2264595

Run 2264595

Task 145834 (Supervised Classification) banknote-authentication Uploaded 19-05-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.rpart(31)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(31)_minsplit41
mlr.classif.rpart(31)_minbucket24
mlr.classif.rpart(31)_cp0.0143328078556806
mlr.classif.rpart(31)_maxdepth24
mlr.classif.rpart(31)_xval0
mlr.classif.rpart(31)_openml.seed1
mlr.classif.rpart(31)_openml.kindMersenne-Twister
mlr.classif.rpart(31)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9593
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9396
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.878
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1116.0687
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1015
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
1372
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9403
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9395
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.9395
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2056
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2327
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4682
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1871.3925
UserCPU time millis
0.178
UserCPU time millis testing
0.012
UserCPU time millis training
0.166