Run
1868697

Run 1868697

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)_eta0.0178818918526678
mlr.classif.xgboost(4)_max_depth14
mlr.classif.xgboost(4)_min_child_weight7.19835702232984
mlr.classif.xgboost(4)_subsample0.369688448682427
mlr.classif.xgboost(4)_colsample_bytree0.739864469971508
mlr.classif.xgboost(4)_colsample_bylevel0.839486388955265
mlr.classif.xgboost(4)_lambda0.0233735668280162
mlr.classif.xgboost(4)_alpha3.25076483899532
mlr.classif.xgboost(4)_nrounds155
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
0.8287
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7468
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4311
Cross-validation details (10-fold Crossvalidation)
KB relative information score
184.8361
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3564
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
0.75
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7565
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7565
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7841
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4039
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8474
Cross-validation details (10-fold Crossvalidation)