Run
8783278

Run 8783278

Task 125923 (Supervised Classification) Australian Uploaded 09-01-2018 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.trees1079
mlr.classif.ranger(9)_mtry14
mlr.classif.ranger(9)_min.node.size9
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.382738968823105
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
0.9393
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8713
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7401
Cross-validation details (10-fold Crossvalidation)
KB relative information score
444.7328
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1869
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8723
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.871
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.871
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3783
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3013
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6064
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1770.4588
UserCPU time millis
3.973
UserCPU time millis testing
0.24
UserCPU time millis training
3.733