Run
8703441

Run 8703441

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 27-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees596
mlr.classif.ranger(16)_mtry9
mlr.classif.ranger(16)_min.node.size116
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.79219602253288
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9977
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1644.6992
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.089
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
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.999
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1963
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1224
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2573
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1370.8033
UserCPU time millis
7.293
UserCPU time millis testing
0.268
UserCPU time millis training
7.025