Run
1860216

Run 1860216

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 27-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.00284098824207582
mlr.classif.xgboost(4)_max_depth15
mlr.classif.xgboost(4)_min_child_weight11.7252646947918
mlr.classif.xgboost(4)_subsample0.546801248029806
mlr.classif.xgboost(4)_colsample_bytree0.413124433718622
mlr.classif.xgboost(4)_colsample_bylevel0.451249323086813
mlr.classif.xgboost(4)_lambda22.8700636041771
mlr.classif.xgboost(4)_alpha0.00684139304583828
mlr.classif.xgboost(4)_nrounds4387
mlr.classif.xgboost(4)_verbose0
mlr.classif.xgboost(4)_openml.seed1
mlr.classif.xgboost(4)_openml.kindMersenne-Twister
mlr.classif.xgboost(4)_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.

17 Evaluation measures

Area under ROC curve
0.9908
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.969
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9315
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1326.5185
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1693
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
0.969
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9691
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9691
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3737
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2201
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4625
Cross-validation details (10-fold Crossvalidation)