Run
8551332

Run 8551332

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 21-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1323
mlr.classif.ranger(15)_mtry2
mlr.classif.ranger(15)_min.node.size5
mlr.classif.ranger(15)_sample.fraction0.571476121316664
mlr.classif.ranger(15)_respect.unordered.factorsTRUE
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9964
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9731
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9402
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1170.8559
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2095
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
0.9735
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4624
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2533
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5323
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1269.6119
UserCPU time millis
16.11
UserCPU time millis testing
1.32
UserCPU time millis training
14.79