Run
1868721

Run 1868721

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)_eta0.169858478812954
mlr.classif.xgboost(4)_max_depth9
mlr.classif.xgboost(4)_min_child_weight11.1745804707406
mlr.classif.xgboost(4)_subsample0.438952341163531
mlr.classif.xgboost(4)_colsample_bytree0.875456944108009
mlr.classif.xgboost(4)_colsample_bylevel0.144168203696609
mlr.classif.xgboost(4)_lambda17.8937930130002
mlr.classif.xgboost(4)_alpha3.16893807737943
mlr.classif.xgboost(4)_nrounds2566
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
0.8068
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7468
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4371
Cross-validation details (10-fold Crossvalidation)
KB relative information score
241.0585
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3142
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
0.7454
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.75
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.75
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6914
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4124
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8652
Cross-validation details (10-fold Crossvalidation)