Run
8087449

Run 8087449

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.trees556
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size881
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.34953546023462
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
0.8479
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7747
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4428
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1252.823
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3203
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
0.7731
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7824
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7824
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7723
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3837
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8426
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1859.1356
UserCPU time millis
4.137
UserCPU time millis testing
0.362
UserCPU time millis training
3.775