Run
8739763

Run 8739763

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 29-12-2017 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.trees824
mlr.classif.ranger(9)_mtry8
mlr.classif.ranger(9)_min.node.size15
mlr.classif.ranger(9)_sample.fraction0.994822515803389
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
1758.2694
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0554
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
0.1224
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0894
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1878
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1746.3856
UserCPU time millis
13.113
UserCPU time millis testing
0.478
UserCPU time millis training
12.635