Run
8652249

Run 8652249

Task 125923 (Supervised Classification) Australian Uploaded 15-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees780
mlr.classif.ranger(16)_mtry1
mlr.classif.ranger(16)_min.node.size2
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.187937810085714
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9312
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8655
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7269
Cross-validation details (10-fold Crossvalidation)
KB relative information score
292.0728
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3117
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
0.8692
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6311
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3503
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7049
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1221.3272
UserCPU time millis
1.634
UserCPU time millis testing
0.225
UserCPU time millis training
1.409