Run
8610015

Run 8610015

Task 145857 (Supervised Classification) phoneme Uploaded 03-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1837
mlr.classif.ranger(15)_mtry5
mlr.classif.ranger(15)_min.node.size168
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.133975409157574
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8631
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7884
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4869
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1616.0191
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2861
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7874
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7896
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7896
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6898
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3714
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8156
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1752.5265
UserCPU time millis
23.25
UserCPU time millis testing
1.33
UserCPU time millis training
21.92