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2 changes: 1 addition & 1 deletion src/DecisionTree.jl
Original file line number Diff line number Diff line change
Expand Up @@ -94,7 +94,7 @@ In the example output below, the top node considers whether
"Feature 3" is above or below the threshold -28.156052806422238.
If the value of "Feature 3" is strictly below the threshold for some input to be classified,
we move to the `L->` part underneath, which is a node
looking at if "Feature 2" is above or below -161.04351901384842.
looking at if "Feature 2" is above or equal -161.04351901384842.
If the value of "Feature 2" is strictly below the threshold for some input to be classified,
we end up at `L-> 5 : 842/3650`. This is to be read as "In the left split,
the tree will classify the input as class 5, as 842 of the 3650 datapoints
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