Run
8434620

Run 8434620

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 02-11-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot1 botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees37
mlr.classif.ranger(13)_mtry8
mlr.classif.ranger(13)_min.node.size21
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.610844254191033
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9969
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9932
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1732.7518
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0624
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
0.9969
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9969
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9969
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1378
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1005
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2112
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1239.6555
UserCPU time millis
2.995
UserCPU time millis testing
0.164
UserCPU time millis training
2.831