Run
8653050

Run 8653050

Task 145857 (Supervised Classification) phoneme Uploaded 15-12-2017 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.trees37
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size195
mlr.classif.ranger(15)_sample.fraction0.348067161813378
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
0.8984
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8276
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5786
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1964.1846
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2628
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
0.8265
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8303
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8303
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6336
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3478
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7639
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1508.4247
UserCPU time millis
0.74
UserCPU time millis testing
0.04
UserCPU time millis training
0.7