Run
8599784

Run 8599784

Task 145834 (Supervised Classification) banknote-authentication Uploaded 30-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1026
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size6
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.567270783870481
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.992
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9838
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1318.7225
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0217
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
0.992
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.992
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.992
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.044
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0911
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1833
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2017.0799
UserCPU time millis
6.273
UserCPU time millis testing
0.321
UserCPU time millis training
5.952