Run
1868722

Run 1868722

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)_eta0.00133183237657006
mlr.classif.xgboost(4)_max_depth2
mlr.classif.xgboost(4)_min_child_weight1.80336108912844
mlr.classif.xgboost(4)_subsample0.917776063946076
mlr.classif.xgboost(4)_colsample_bytree0.78539959853515
mlr.classif.xgboost(4)_colsample_bylevel0.761161959962919
mlr.classif.xgboost(4)_lambda8.46416904355124
mlr.classif.xgboost(4)_alpha0.019229804732831
mlr.classif.xgboost(4)_nrounds2639
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
0.8299
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7483
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4347
Cross-validation details (10-fold Crossvalidation)
KB relative information score
206.8038
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3425
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
0.7514
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7578
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7578
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7535
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8391
Cross-validation details (10-fold Crossvalidation)