Run
8668356

Run 8668356

Task 145857 (Supervised Classification) phoneme Uploaded 23-12-2017 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.trees542
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size3014
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.203744886093773
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
0.4999
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.585
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.2094
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4147
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
0.4992
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7065
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7065
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9998
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1847.3406
UserCPU time millis
2.667
UserCPU time millis testing
0.285
UserCPU time millis training
2.382