Run
8553751

Run 8553751

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 23-11-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees29
mlr.classif.ranger(15)_mtry24
mlr.classif.ranger(15)_min.node.size60
mlr.classif.ranger(15)_sample.fraction0.788030714332126
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
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
1916.029
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0079
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)
Relative absolute error
0.0174
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0244
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0512
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1321.2432
UserCPU time millis
0.56
UserCPU time millis training
0.56