Run
1867306

Run 1867306

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)_eta0.179922903451271
mlr.classif.xgboost(4)_max_depth2
mlr.classif.xgboost(4)_min_child_weight36.1029116250143
mlr.classif.xgboost(4)_subsample0.529335913690738
mlr.classif.xgboost(4)_colsample_bytree0.630825286731124
mlr.classif.xgboost(4)_colsample_bylevel0.40973846311681
mlr.classif.xgboost(4)_lambda0.00933207471567192
mlr.classif.xgboost(4)_alpha0.316142758915059
mlr.classif.xgboost(4)_nrounds3981
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
0.807
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7366
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4105
Cross-validation details (10-fold Crossvalidation)
KB relative information score
193.3908
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3465
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
0.7362
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7435
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7624
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4107
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8616
Cross-validation details (10-fold Crossvalidation)