OpenML
8305395

Run 8305395

Task 3485 (Supervised Classification) scene Uploaded 29-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1726
mlr.classif.ranger(13)_mtry5
mlr.classif.ranger(13)_min.node.size1
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.393600311456248
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9367
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8629
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4847
Cross-validation details (10-fold Crossvalidation)
KB relative information score
675.3799
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2059
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8925
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8845
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8845
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2902
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.757
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1311.1188
UserCPU time millis
223.29
UserCPU time millis testing
7.698
UserCPU time millis training
215.592