Run
1860177

Run 1860177

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)_eta0.00955261757769078
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight109.841206922493
mlr.classif.xgboost(4)_subsample0.680950578441843
mlr.classif.xgboost(4)_colsample_bytree0.714117576600984
mlr.classif.xgboost(4)_colsample_bylevel0.36890010186471
mlr.classif.xgboost(4)_lambda1.81891026684338
mlr.classif.xgboost(4)_alpha15.0033334156647
mlr.classif.xgboost(4)_nrounds899
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
0.7047
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5767
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.081
Cross-validation details (10-fold Crossvalidation)
KB relative information score
141.6413
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.42
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
0.641
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6641
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.6641
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9271
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4514
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9485
Cross-validation details (10-fold Crossvalidation)