Run
8551304

Run 8551304

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.trees1260
mlr.classif.ranger(15)_mtry22
mlr.classif.ranger(15)_min.node.size333
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.227181795239449
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
0.8606
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5163
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
291.2483
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3925
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
0.4268
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.6533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8664
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4196
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8817
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1318.1183
UserCPU time millis
4.98
UserCPU time millis testing
0.4
UserCPU time millis training
4.58