Run
7964561

Run 7964561

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.trees440
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.831010261853226
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9536
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9008
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7601
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3528.9583
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1448
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
0.9006
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9012
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.9012
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3492
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2729
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5993
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1846.3057
UserCPU time millis
50.991
UserCPU time millis testing
1.664
UserCPU time millis training
49.327