Run
8367476

Run 8367476

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 31-10-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees118
mlr.classif.ranger(13)_mtry23
mlr.classif.ranger(13)_min.node.size255
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.165600794181228
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.8517
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5198
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0058
Cross-validation details (10-fold Crossvalidation)
KB relative information score
284.2584
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3946
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
0.7742
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6548
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.6548
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.871
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4208
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8841
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1224.212
UserCPU time millis
2.629
UserCPU time millis testing
0.175
UserCPU time millis training
2.454