Run
6200850

Run 6200850

Task 145834 (Supervised Classification) banknote-authentication Uploaded 27-08-2017 by OpenML_Bot R
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Flow

mlr.classif.rpart(29)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(29)_minsplit29
mlr.classif.rpart(29)_minbucket17
mlr.classif.rpart(29)_cp0.0945731587707996
mlr.classif.rpart(29)_maxdepth27
mlr.classif.rpart(29)_xval0
mlr.classif.rpart(29)_openml.seed1
mlr.classif.rpart(29)_openml.kindMersenne-Twister
mlr.classif.rpart(29)_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
0.887
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8934
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7835
Cross-validation details (10-fold Crossvalidation)
KB relative information score
917.0716
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1812
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
0.8975
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8943
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.8943
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3668
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3039
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6116
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1311.5514
UserCPU time millis
0.08
UserCPU time millis testing
0.015
UserCPU time millis training
0.065