From 985beeed863648b374bc93089ac69181e8e5e7c7 Mon Sep 17 00:00:00 2001
From: LudovicoBessi <21291898+ludoro@users.noreply.github.com>
Date: Mon, 22 Jun 2020 09:01:43 +0200
Subject: [PATCH] Update randomforest.md

---
 docs/src/randomforest.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/src/randomforest.md b/docs/src/randomforest.md
index 6529b26cb..7992c2654 100644
--- a/docs/src/randomforest.md
+++ b/docs/src/randomforest.md
@@ -4,9 +4,9 @@ Random forests is a supervised learning algorithm that randomly creates and merg
 
 We are going to use a Random forests surrogate to optimize $f(x)=3*x+1$.
 
-First of all import `Surrogates`, `XGBoost` and `Plots`.
+First of all import `Surrogates` and `Plots`.
 ```@example RandomForestSurrogate_tutorial
-using Surrogates, XGBoost
+using Surrogates
 using Plots
 ```
 ### Sampling
@@ -47,4 +47,4 @@ To optimize using our surrogate we call `surrogate_optimize` method. We choose t
 scatter(x, y, label="Sampled points")
 plot!(f, label="True function")
 plot!(randomforest_surrogate, label="Surrogate function")
-```
\ No newline at end of file
+```