Run
8435013

Run 8435013

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 02-11-2017 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.trees27
mlr.classif.ranger(13)_mtry3
mlr.classif.ranger(13)_min.node.size35
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.693805525731295
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
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9824
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9611
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1294.926
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1793
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
0.9825
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9825
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9825
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2242
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.471
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1232.5798
UserCPU time millis
3.045
UserCPU time millis testing
0.53
UserCPU time millis training
2.515