Run
8222110

Run 8222110

Task 9889 (Supervised Classification) wilt Uploaded 24-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees375
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size6
mlr.classif.ranger(9)_sample.fraction0.992389252455905
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9896
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9836
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8374
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3106.0539
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0237
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
0.9835
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9839
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9839
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2315
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1091
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.483
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
789.1809
UserCPU time millis
23.554
UserCPU time millis testing
0.611
UserCPU time millis training
22.943