Run
8771799

Run 8771799

Task 3485 (Supervised Classification) scene Uploaded 03-01-2018 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.trees1894
mlr.classif.ranger(16)_mtry205
mlr.classif.ranger(16)_min.node.size47
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.622255841945298
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
0.9765
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9604
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8601
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1699.4506
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1023
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
0.9637
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9622
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.9622
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3479
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1843
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4806
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1364.6183
Total cost
UserCPU time millis
1676.571
UserCPU time millis testing
1.732
UserCPU time millis training
1674.839