Run
8553765

Run 8553765

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 23-11-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees204
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size691
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.461496283626184
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
0.877
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5163
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
179.9374
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4141
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
0.914
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4427
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9303
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1264.1897
UserCPU time millis
0.57
UserCPU time millis testing
0.08
UserCPU time millis training
0.49