Run
8756497

Run 8756497

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 30-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1776
mlr.classif.ranger(9)_mtry8
mlr.classif.ranger(9)_min.node.size13
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.458601312362589
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9954
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1713.4719
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0684
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9979
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1511
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1039
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2182
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1751.9804
UserCPU time millis
20.419
UserCPU time millis testing
0.948
UserCPU time millis training
19.471