Run
1868688

Run 1868688

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)_boostergblinear
mlr.classif.xgboost(4)_eta0.206927060138981
mlr.classif.xgboost(4)_subsample0.424170204694383
mlr.classif.xgboost(4)_lambda453.791213988367
mlr.classif.xgboost(4)_alpha224.492893944847
mlr.classif.xgboost(4)_nrounds1867
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
0.8094
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7475
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.432
Cross-validation details (10-fold Crossvalidation)
KB relative information score
204.5131
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3423
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
0.7535
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7591
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7591
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7532
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4072
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8544
Cross-validation details (10-fold Crossvalidation)