Run
8788320

Run 8788320

Task 145857 (Supervised Classification) phoneme Uploaded 12-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1098
mlr.classif.ranger(16)_mtry1
mlr.classif.ranger(16)_min.node.size6
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.21438002504874
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9449
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8821
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7134
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2728.4898
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2126
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
0.8816
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8831
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8831
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5125
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3005
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.66
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1379.9574
UserCPU time millis
21.985
UserCPU time millis testing
2.041
UserCPU time millis training
19.944