Run
8578977

Run 8578977

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.trees44
mlr.classif.ranger(15)_mtry1
mlr.classif.ranger(15)_min.node.size123
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.952615867974237
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
0.9292
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8594
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6575
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2390.7119
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.236
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
0.8587
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.861
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.861
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.569
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3209
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7047
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1423.2699
UserCPU time millis
1.25
UserCPU time millis testing
0.04
UserCPU time millis training
1.21