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@lorentzenchr @hcho3
lorentzenchr and hcho3 [Breaking] Change default evaluation metric for classification to log…
cf4f019 Oct 2, 2020
[Breaking] Change default evaluation metric for classification to log… 
…loss / mlogloss (#6183)

* Change DefaultEvalMetric of classification from error to logloss

* Change default binary metric in plugin/example/custom_obj.cc

* Set old error metric in python tests

* Set old error metric in R tests

* Fix missed eval metrics and typos in R tests

* Fix setting eval_metric twice in R tests

* Add warning for empty eval_metric for classification

* Fix Dask tests

Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
cf4f019

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README.md

XGBoost R Package for Scalable GBM

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Installation

We are on CRAN now. For stable/pre-compiled(for Windows and OS X) version, please install from CRAN:

install.packages('xgboost')

For more detailed installation instructions, please see here.

Examples

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