Run
8609998

Run 8609998

Task 145857 (Supervised Classification) phoneme Uploaded 03-12-2017 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.trees284
mlr.classif.ranger(15)_mtry5
mlr.classif.ranger(15)_min.node.size153
mlr.classif.ranger(15)_sample.fraction0.11512822189834
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
0.8601
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7848
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4797
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1586.3407
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2878
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
0.7843
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7853
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7853
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6939
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3727
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8186
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1425.63
UserCPU time millis
4.38
UserCPU time millis testing
0.26
UserCPU time millis training
4.12