Run
1860712

Run 1860712

Task 14965 (Supervised Classification) bank-marketing Uploaded 27-03-2017 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)_eta0.0280066580812551
mlr.classif.xgboost(4)_max_depth9
mlr.classif.xgboost(4)_min_child_weight2.66942099596073
mlr.classif.xgboost(4)_subsample0.300700055318885
mlr.classif.xgboost(4)_colsample_bytree0.580513526219875
mlr.classif.xgboost(4)_colsample_bylevel0.612251700600609
mlr.classif.xgboost(4)_lambda126.007734176671
mlr.classif.xgboost(4)_alpha0.0457984859277903
mlr.classif.xgboost(4)_nrounds2252
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
0.932
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9005
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4863
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11605.534
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1247
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
0.8979
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9078
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.9078
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6036
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2507
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7801
Cross-validation details (10-fold Crossvalidation)