Run
8734418

Run 8734418

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.trees526
mlr.classif.ranger(9)_mtry3
mlr.classif.ranger(9)_min.node.size3
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.943804046092555
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
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9912
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9806
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1497.615
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1274
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
0.9912
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9912
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9912
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2811
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1713
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3599
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1735.8747
UserCPU time millis
10.83
UserCPU time millis testing
0.841
UserCPU time millis training
9.989