Run
1861558

Run 1861558

Task 3896 (Supervised Classification) ada_agnostic 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)_eta0.737606261561939
mlr.classif.xgboost(4)_subsample0.350479277200066
mlr.classif.xgboost(4)_lambda0.328483190204222
mlr.classif.xgboost(4)_alpha977.297482110951
mlr.classif.xgboost(4)_nrounds1672
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
0.8288
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7888
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3999
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1186.4505
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2686
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7971
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8097
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8097
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7196
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3651
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8452
Cross-validation details (10-fold Crossvalidation)