How to read the decision tree
In Studio, under File, New process, Learn, 2. Modeling.
Using the Titanic training data set, the decision tree is
built, with the Explanation:
Using the Titanic training data set, the decision tree is
built, with the Explanation:
——从我们的结果决定tree,we can clearly see that survival was not coincidental at all. In fact, it tells us that as a female passenger, with a small family, you were really lucky - at least if you were holding an expensive ticket!
In the screen shot, how do you read the decision tree to tell you all that?
In the screen shot, how do you read the decision tree to tell you all that?
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Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, MemberPosts:1,635UnicornIt is a terminal node, which contains a prediction (in this case "Yes") and also a numerical confidence for that prediction based on the count of records in each class at that node. If you look at the DT model output in RapidMiner in the list view instead of the graphical view, this is a bit clearer.6
Answers
Hello
The root is "No of parents and child on board" so there is 2 parts for less than 4500 or more than 4500 then if the answer is less than 4500 you will find "No of sibling and ..." so now you know the root and other parts are leaves.
I hope this helps