OpenML
8652230

Run 8652230

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.trees567
mlr.classif.ranger(16)_mtry7
mlr.classif.ranger(16)_min.node.size1
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.153589686611667
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
0.939
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8669
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7311
Cross-validation details (10-fold Crossvalidation)
KB relative information score
418.0412
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2105
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
0.8676
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
0.4262
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3055
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6148
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1221.946
UserCPU time millis
1.341
UserCPU time millis testing
0.161
UserCPU time millis training
1.18