Run
1868699

Run 1868699

Task 37 (Supervised Classification) diabetes Uploaded 28-03-2017 by Philipp Probst
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.0127422677704806
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight53.9391684611076
mlr.classif.xgboost(4)_subsample0.460627140616998
mlr.classif.xgboost(4)_colsample_bytree0.287257506744936
mlr.classif.xgboost(4)_colsample_bylevel0.549624425824732
mlr.classif.xgboost(4)_lambda0.00410004068198902
mlr.classif.xgboost(4)_alpha0.00385563806208678
mlr.classif.xgboost(4)_nrounds4286
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
0.4996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5134
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2667
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4543
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
0.9995
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)