Run
8775667

Run 8775667

Task 125923 (Supervised Classification) Australian Uploaded 04-01-2018 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.trees1163
mlr.classif.ranger(16)_mtry1
mlr.classif.ranger(16)_min.node.size3
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.954519763845019
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
0.9326
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8657
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7272
Cross-validation details (10-fold Crossvalidation)
KB relative information score
317.486
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2928
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
0.8685
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
0.5928
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3389
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.682
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1377.1044
UserCPU time millis
4.654
UserCPU time millis testing
0.491
UserCPU time millis training
4.163