Run
8749158

Run 8749158

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 30-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees320
mlr.classif.ranger(9)_mtry7
mlr.classif.ranger(9)_min.node.size28
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.108890780876391
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9952
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.97
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9335
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1108.5253
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2263
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
0.9702
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9701
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9701
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2661
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5591
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1744.5106
UserCPU time millis
1.685
UserCPU time millis testing
0.14
UserCPU time millis training
1.545