Run
8578941

Run 8578941

Task 145857 (Supervised Classification) phoneme Uploaded 27-11-2017 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.trees136
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size3
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.241418068646453
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
0.9484
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8872
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.727
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3035.564
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1877
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
0.8869
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8877
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8877
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4525
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2879
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6322
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1477.0191
UserCPU time millis
5.49
UserCPU time millis testing
0.22
UserCPU time millis training
5.27