Run
1854606

Run 1854606

Task 9889 (Supervised Classification) wilt 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)_eta0.13624901015869
mlr.classif.xgboost(4)_max_depth4
mlr.classif.xgboost(4)_min_child_weight57.655094550434
mlr.classif.xgboost(4)_subsample0.610019699973054
mlr.classif.xgboost(4)_colsample_bytree0.627913632895797
mlr.classif.xgboost(4)_colsample_bylevel0.504452815977857
mlr.classif.xgboost(4)_lambda0.00298153600535122
mlr.classif.xgboost(4)_alpha8.49705558503081
mlr.classif.xgboost(4)_nrounds2460
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
0.9262
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9535
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4641
Cross-validation details (10-fold Crossvalidation)
KB relative information score
485.7964
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0735
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9627
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9626
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9626
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7188
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1781
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7886
Cross-validation details (10-fold Crossvalidation)