Run
1867276

Run 1867276

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)_eta0.311120629802315
mlr.classif.xgboost(4)_max_depth2
mlr.classif.xgboost(4)_min_child_weight106.93679675266
mlr.classif.xgboost(4)_subsample0.810673744301312
mlr.classif.xgboost(4)_colsample_bytree0.879549032775685
mlr.classif.xgboost(4)_colsample_bylevel0.826758017065004
mlr.classif.xgboost(4)_lambda539.984576597763
mlr.classif.xgboost(4)_alpha0.195428633060707
mlr.classif.xgboost(4)_nrounds2152
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
0.4978
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5134
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.2429
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4545
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
0.4239
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.651
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.651
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)