Run
7967692

Run 7967692

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 17-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees62
mlr.classif.ranger(9)_mtry23
mlr.classif.ranger(9)_min.node.size51
mlr.classif.ranger(9)_sample.fraction0.214396050199866
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9977
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1807.8172
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0413
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
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.999
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0911
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0682
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1433
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1875.903
UserCPU time millis
0.586
UserCPU time millis testing
0.036
UserCPU time millis training
0.55