Run
8566547

Run 8566547

Task 9889 (Supervised Classification) wilt Uploaded 27-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees181
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size1108
mlr.classif.ranger(9)_sample.fraction0.953823363478296
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.957
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9248
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0701
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-66.8525
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0766
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9508
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9481
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9481
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7494
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1794
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7942
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1861.3212
UserCPU time millis
2.107
UserCPU time millis testing
0.127
UserCPU time millis training
1.98