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[Breaking] Change default evaluation metric for classification to logloss / mlogloss (#6183)

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* 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>
This commit is contained in:
Christian Lorentzen
2020-10-02 21:06:47 +02:00
committed by GitHub
parent e0e4f15d0e
commit cf4f019ed6
18 changed files with 56 additions and 32 deletions
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R-package/tests/testthat/test_glm.R
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@@ -8,7 +8,7 @@ test_that("gblinear works", {
dtrain <- xgb.DMatrix(agaricus.train$data, label = agaricus.train$label)
dtest <- xgb.DMatrix(agaricus.test$data, label = agaricus.test$label)
param <- list(objective = "binary:logistic", booster = "gblinear",
param <- list(objective = "binary:logistic", eval_metric = "error", booster = "gblinear",
nthread = 2, eta = 0.8, alpha = 0.0001, lambda = 0.0001)
watchlist <- list(eval = dtest, train = dtrain)