Run
8340081

Run 8340081

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 30-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1253
mlr.classif.ranger(13)_mtry4
mlr.classif.ranger(13)_min.node.size4
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.264728344837204
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9986
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.984
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9646
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1356.9167
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1647
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
0.9841
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.984
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.984
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3635
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2064
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4337
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1234.676
UserCPU time millis
56.497
UserCPU time millis testing
4.114
UserCPU time millis training
52.383