@@ -293,7 +293,7 @@ When using the RGB or HSV values as features, we have three features for each pi
As can be seen in the following plot, the **pixels in the middle** have higher values and are thus more important for the classification than the pixels near the edges. The same pattern is found for all decision tree and random forest models that we have trained. This meets our expectations, as the middle of the image is **where the fruit is typically located** and the edges are often just the background.
