Run
8743866

Run 8743866

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 30-12-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees762
mlr.classif.ranger(9)_mtry8
mlr.classif.ranger(9)_min.node.size3
mlr.classif.ranger(9)_sample.fraction0.384631053544581
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
0.9999
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9948
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9886
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1672.26
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.08
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
0.9948
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9948
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9948
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1766
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1177
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2473
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1744.9079
UserCPU time millis
8.302
UserCPU time millis testing
0.46
UserCPU time millis training
7.842