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
+```