Run
8334050

Run 8334050

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.trees1083
mlr.classif.ranger(13)_mtry3
mlr.classif.ranger(13)_min.node.size3
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.91960775621701
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
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9918
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9818
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1496.3301
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1278
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
0.9918
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9918
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9918
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.282
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1713
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.36
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1241.3549
UserCPU time millis
92.768
UserCPU time millis testing
6.34
UserCPU time millis training
86.428