Run
8781673

Run 8781673

Task 3485 (Supervised Classification) scene Uploaded 08-01-2018 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.trees252
mlr.classif.ranger(16)_mtry284
mlr.classif.ranger(16)_min.node.size10
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.835760973067954
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
0.9727
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9646
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8755
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1834.5613
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0766
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
0.9669
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9659
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.9659
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2604
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1704
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4444
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1377.2436
UserCPU time millis
363.463
UserCPU time millis testing
0.393
UserCPU time millis training
363.07