Run
4388156

Run 4388156

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 06-07-2017 by OpenML_Bot R
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  • AzureBot11 botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees852
mlr.classif.ranger(13)_mtry4
mlr.classif.ranger(13)_sample.fraction0.421651558461599
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
0.9989
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9845
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9658
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1380.5688
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1588
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
0.9845
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9845
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9845
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3505
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1999
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.42
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1297.5911
UserCPU time millis
41.216
UserCPU time millis testing
2.64
UserCPU time millis training
38.576