Hi ProbML team,
I noticed a small inconsistency in the Iris decision tree example in Section 1.2.1.3, Learning a classifier.
In Figure 1.4(a), the root node of the decision tree uses the rule:
petal length (cm) <= 2.45
However, in the text immediately below, the corresponding decision rule is written as:
Setosa if petal length < 2.45
Versicolor or Virginica otherwise
So the inequality differs between the figure and the text - the figure uses <= 2.45, while the text uses < 2.45.
Suggested correction: update the text to match the figure, e.g.
Setosa if petal length <= 2.45
Versicolor or Virginica otherwise
Thanks for maintaining this excellent resource!
Hi ProbML team,
I noticed a small inconsistency in the Iris decision tree example in Section 1.2.1.3, Learning a classifier.
In Figure 1.4(a), the root node of the decision tree uses the rule:
However, in the text immediately below, the corresponding decision rule is written as:
So the inequality differs between the figure and the text - the figure uses
<= 2.45, while the text uses< 2.45.Suggested correction: update the text to match the figure, e.g.
Thanks for maintaining this excellent resource!