Run
8799709

Run 8799709

Task 145857 (Supervised Classification) phoneme Uploaded 20-01-2018 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.trees1068
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size1329
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.779049565014429
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
0.859
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7828
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4696
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1437.0096
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3034
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
0.7809
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7859
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7859
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7314
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3764
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8266
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1848.916
UserCPU time millis
10.695
UserCPU time millis testing
0.781
UserCPU time millis training
9.914