Please, can you explain me, how to interpret
the tree decision plot of the excercise M5.01.?
I can see in the root node:
Culmen Depth (mm) <= 16.45 … class Adelie?
But I see in the decision boundary plot, this class has values of Culmen Depth >= to 16.45.
Thank you in advance.
The first part is the threshold found to split the data and wired it in the next 2 nodes. "class = Adelie" is a bit weird to be shown here but it represents the most represented class among the training dataset. Indeed, this information will only be interesting for the tree leaves because it will be the class affected to a sample ending up in this leave. In nodes, this information will not have any impact.