Run
7987095

Run 7987095

Task 145857 (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.trees138
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size5189
mlr.classif.ranger(9)_sample.fraction0.746005946677178
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
0.4998
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.585
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.8297
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
0.9999
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
1855.4813
UserCPU time millis
0.536
UserCPU time millis testing
0.071
UserCPU time millis training
0.465