Run
8756760

Run 8756760

Task 125923 (Supervised Classification) Australian Uploaded 30-12-2017 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.trees1312
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size92
mlr.classif.ranger(9)_sample.fraction0.208687708433717
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
0.9169
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8316
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6595
Cross-validation details (10-fold Crossvalidation)
KB relative information score
141.2581
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4156
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
0.8525
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8362
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8362
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8414
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4245
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8541
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1750.973
UserCPU time millis
1.327
UserCPU time millis testing
0.234
UserCPU time millis training
1.093