Run
8710759

Run 8710759

Task 145834 (Supervised Classification) banknote-authentication Uploaded 28-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees555
mlr.classif.ranger(16)_mtry3
mlr.classif.ranger(16)_min.node.size576
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.946406167699024
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9596
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8736
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7463
Cross-validation details (10-fold Crossvalidation)
KB relative information score
814.7323
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2206
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
0.879
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.8732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4466
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2973
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5983
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1373.7532
UserCPU time millis
1.267
UserCPU time millis testing
0.113
UserCPU time millis training
1.154