Run
1867302

Run 1867302

Task 37 (Supervised Classification) diabetes 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)_eta0.0213806211130052
mlr.classif.xgboost(4)_max_depth4
mlr.classif.xgboost(4)_min_child_weight3.12947104896077
mlr.classif.xgboost(4)_subsample0.965443449607119
mlr.classif.xgboost(4)_colsample_bytree0.5372063445393
mlr.classif.xgboost(4)_colsample_bylevel0.372401856351644
mlr.classif.xgboost(4)_lambda0.0180805308698366
mlr.classif.xgboost(4)_alpha11.509159011693
mlr.classif.xgboost(4)_nrounds4497
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
0.8278
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7524
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4448
Cross-validation details (10-fold Crossvalidation)
KB relative information score
224.0526
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3302
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7541
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7604
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7604
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7266
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.399
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8372
Cross-validation details (10-fold Crossvalidation)