Run
8078007

Run 8078007

Task 145857 (Supervised Classification) phoneme Uploaded 18-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees809
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size95
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.891050261538476
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
0.9299
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8601
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6604
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2703.432
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2098
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
0.8595
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
0.506
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3123
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6859
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1825.3354
UserCPU time millis
49.079
UserCPU time millis testing
1.289
UserCPU time millis training
47.79