Run
1854922

Run 1854922

Task 3918 (Supervised Classification) pc1 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)_eta0.0191164596976761
mlr.classif.xgboost(4)_max_depth12
mlr.classif.xgboost(4)_min_child_weight1.16424014134607
mlr.classif.xgboost(4)_subsample0.690991756459698
mlr.classif.xgboost(4)_colsample_bytree0.426672967616469
mlr.classif.xgboost(4)_colsample_bylevel0.799249262548983
mlr.classif.xgboost(4)_lambda0.00942019827503047
mlr.classif.xgboost(4)_alpha11.7421756381471
mlr.classif.xgboost(4)_nrounds3727
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
0.8104
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8971
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-383.7938
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1184
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.866
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9306
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.9306
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9119
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2383
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9373
Cross-validation details (10-fold Crossvalidation)