Run
1861130

Run 1861130

Task 9977 (Supervised Classification) nomao Uploaded 28-03-2017 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)_eta0.00343140460913616
mlr.classif.xgboost(4)_max_depth7
mlr.classif.xgboost(4)_min_child_weight40.1030162300735
mlr.classif.xgboost(4)_subsample0.697279074625112
mlr.classif.xgboost(4)_colsample_bytree0.512821934185922
mlr.classif.xgboost(4)_colsample_bylevel0.508621815126389
mlr.classif.xgboost(4)_lambda0.292124847776743
mlr.classif.xgboost(4)_alpha46.4659820366897
mlr.classif.xgboost(4)_nrounds1732
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
0.9879
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9498
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8765
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27209.8003
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0921
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9497
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.95
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.95
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2256
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1943
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4302
Cross-validation details (10-fold Crossvalidation)