Run
1868692

Run 1868692

Task 37 (Supervised Classification) diabetes Uploaded 28-03-2017 by Philipp Probst
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.0307800421740974
mlr.classif.xgboost(4)_min_child_weight23.4557092568277
mlr.classif.xgboost(4)_subsample0.720248168800026
mlr.classif.xgboost(4)_colsample_bytree0.74931305507198
mlr.classif.xgboost(4)_colsample_bylevel0.313499782932922
mlr.classif.xgboost(4)_lambda0.135323734916778
mlr.classif.xgboost(4)_alpha0.0543604598920098
mlr.classif.xgboost(4)_nrounds2928
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
0.8124
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.743
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4288
Cross-validation details (10-fold Crossvalidation)
KB relative information score
239.0815
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3162
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
0.7415
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7461
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7461
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6957
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4083
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8566
Cross-validation details (10-fold Crossvalidation)