Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Add MAPE metric (#6119)

Browse Source
This commit is contained in:
Philip Hyunsu Cho
2020-09-14 18:45:27 -07:00
committed by GitHub
parent 47350f6acb
commit 33577ef5d3
9 changed files with 41 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
R-package/man/xgb.train.Rd
View File

@@ -222,6 +222,8 @@ The following is the list of built-in metrics for which Xgboost provides optimiz
By default, it uses the 0.5 threshold for predicted values to define negative and positive instances.
Different threshold (e.g., 0.) could be specified as "error@0."
\item \code{merror} Multiclass classification error rate. It is calculated as \code{(# wrong cases) / (# all cases)}.
\item \code{mae} Mean absolute error
\item \code{mape} Mean absolute percentage error
\item \code{auc} Area under the curve. \url{https://en.wikipedia.org/wiki/Receiver_operating_characteristic#'Area_under_curve} for ranking evaluation.
\item \code{aucpr} Area under the PR curve. \url{https://en.wikipedia.org/wiki/Precision_and_recall} for ranking evaluation.
\item \code{ndcg} Normalized Discounted Cumulative Gain (for ranking task). \url{https://en.wikipedia.org/wiki/NDCG}