Run
1860983

Run 1860983

Task 14965 (Supervised Classification) bank-marketing 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)_eta0.037688799892625
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight1.13545582592292
mlr.classif.xgboost(4)_subsample0.919948149076663
mlr.classif.xgboost(4)_colsample_bytree0.902766829589382
mlr.classif.xgboost(4)_colsample_bylevel0.959832124179229
mlr.classif.xgboost(4)_lambda0.288875341283734
mlr.classif.xgboost(4)_alpha2.80054548951569
mlr.classif.xgboost(4)_nrounds3754
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
0.9292
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8999
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4942
Cross-validation details (10-fold Crossvalidation)
KB relative information score
15317.7014
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1076
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2066
Cross-validation details (10-fold Crossvalidation)
Number of instances
45211
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8971
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9046
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.9046
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.521
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2633
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8193
Cross-validation details (10-fold Crossvalidation)