From 7ff704a13fa94410c5d9c60bd89959fb4d22b227 Mon Sep 17 00:00:00 2001 From: YenChenLin Date: Tue, 5 Jan 2016 23:42:02 +0800 Subject: [PATCH] Fix typo in demo/regression/README.md --- demo/regression/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/demo/regression/README.md b/demo/regression/README.md index 2002f5bac866..7b8b8cbe02a8 100644 --- a/demo/regression/README.md +++ b/demo/regression/README.md @@ -6,7 +6,7 @@ Using XGBoost for regression is very similar to using it for binary classificati The dataset we used is the [computer hardware dataset from UCI repository](https://archive.ics.uci.edu/ml/datasets/Computer+Hardware). The demo for regression is almost the same as the [binary classification demo](../binary_classification), except a little difference in general parameter: ``` # General parameter -# this is the only difference with classification, use reg:linear to do linear classification +# this is the only difference with classification, use reg:linear to do linear regression # when labels are in [0,1] we can also use reg:logistic objective = reg:linear ...