Run
8767795

Run 8767795

Task 125923 (Supervised Classification) Australian Uploaded 01-01-2018 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.trees726
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size47
mlr.classif.ranger(9)_sample.fraction0.156025746581145
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
0.925
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8627
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7254
Cross-validation details (10-fold Crossvalidation)
KB relative information score
334.7318
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2786
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
0.8711
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8623
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8623
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5641
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3362
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6764
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1738.2915
UserCPU time millis
0.978
UserCPU time millis testing
0.294
UserCPU time millis training
0.684