Run
1867305

Run 1867305

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)_eta0.00610062247527523
mlr.classif.xgboost(4)_max_depth12
mlr.classif.xgboost(4)_min_child_weight6.96353394188744
mlr.classif.xgboost(4)_subsample0.202679464267567
mlr.classif.xgboost(4)_colsample_bytree0.596391734899953
mlr.classif.xgboost(4)_colsample_bylevel0.517879379214719
mlr.classif.xgboost(4)_lambda0.00172318180719885
mlr.classif.xgboost(4)_alpha0.0198905701206516
mlr.classif.xgboost(4)_nrounds4369
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
0.819
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7471
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4366
Cross-validation details (10-fold Crossvalidation)
KB relative information score
240.6191
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3165
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
0.7459
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7513
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7513
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6965
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4038
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8471
Cross-validation details (10-fold Crossvalidation)