Run
8784570

Run 8784570

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 11-01-2018 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.trees1426
mlr.classif.ranger(16)_mtry33
mlr.classif.ranger(16)_min.node.size6
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.683714029472321
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1940.6998
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
1
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
1
Per class
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1265.1989
UserCPU time millis
30.619
UserCPU time millis testing
0.756
UserCPU time millis training
29.863