Run
8655776

Run 8655776

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 15-12-2017 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.trees884
mlr.classif.ranger(15)_mtry1
mlr.classif.ranger(15)_min.node.size2
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.204847512883134
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
0.9769
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8565
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6755
Cross-validation details (10-fold Crossvalidation)
KB relative information score
713.66
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3125
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
0.8843
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8655
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.8655
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6896
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.35
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7353
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1346.2684
UserCPU time millis
4.92
UserCPU time millis testing
0.51
UserCPU time millis training
4.41