Run
8749182

Run 8749182

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 30-12-2017 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.trees1984
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.519955301517621
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
0.9854
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8922
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7566
Cross-validation details (10-fold Crossvalidation)
KB relative information score
811.523
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2919
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
0.9087
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.897
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.897
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6443
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3303
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.694
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1718.2275
UserCPU time millis
16.656
UserCPU time millis testing
1.686
UserCPU time millis training
14.97