OpenML
8653183

Run 8653183

Task 3903 (Supervised Classification) pc3 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.trees1034
mlr.classif.ranger(15)_mtry2
mlr.classif.ranger(15)_min.node.size30
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.81695208272431
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
0.8434
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8483
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0038
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-247.7654
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1562
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1842
Cross-validation details (10-fold Crossvalidation)
Number of instances
1563
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8056
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8957
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.478
Cross-validation details (10-fold Crossvalidation)
Recall
0.8957
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8478
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.276
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9105
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1433.4112
UserCPU time millis
5.85
UserCPU time millis testing
0.54
UserCPU time millis training
5.31