OpenML
4382310

Run 4382310

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 05-07-2017 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.trees783
mlr.classif.ranger(13)_mtry22
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.319428433710709
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
1
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1908.0645
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0105
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
1
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
1
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0231
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0262
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.055
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1294.8465
UserCPU time millis
42.537
UserCPU time millis testing
1.289
UserCPU time millis training
41.248