Run
8470876

Run 8470876

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 04-11-2017 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.trees1521
mlr.classif.ranger(13)_mtry6
mlr.classif.ranger(13)_min.node.size86
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.326822617813013
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
0.9989
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9866
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9705
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1241.4138
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1956
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
0.9866
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9866
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9866
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4317
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2313
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.486
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1237.449
UserCPU time millis
46.963
UserCPU time millis testing
2.962
UserCPU time millis training
44.001