OpenML
8652978

Run 8652978

Task 145834 (Supervised Classification) banknote-authentication Uploaded 15-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1541
mlr.classif.ranger(15)_mtry1
mlr.classif.ranger(15)_min.node.size1209
mlr.classif.ranger(15)_sample.fraction0.502188951452263
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.4999
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3966
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0442
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4939
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
0.3085
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5554
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.5554
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1490.4094
UserCPU time millis
1.92
UserCPU time millis testing
0.3
UserCPU time millis training
1.62