Run
7964449

Run 7964449

Task 9952 (Supervised Classification) phoneme Uploaded 17-10-2017 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.trees105
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_sample.fraction0.111849453765899
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
0.9297
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8645
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6705
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2450.4299
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.232
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
0.8639
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8658
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8658
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5595
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3186
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6997
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1827.287
UserCPU time millis
1.572
UserCPU time millis testing
0.137
UserCPU time millis training
1.435