I. DECISION TREE In this problem, you will come up with decision trees to predict if a planet is habitable based only on features observed by the telescope. In the table below, you are given the data from all 800 planets surveyed so far. The features observed by telescope are Size ("Big" or "Small"), and Orbit ("Near" or "Far"). Each row indicates the values of the features and habitability, and how many times that set of values was observed. So, for example, there were 20 "Big" planets "Near" their star that were habitable.
I. DECISION TREE In this problem, you will come up with decision trees to predict if a planet is habitable based only on features observed by the telescope. In the table below, you are given the data from all 800 planets surveyed so far. The features observed by telescope are Size ("Big" or "Small"), and Orbit ("Near" or "Far"). Each row indicates the values of the features and habitability, and how many times that set of values was observed. So, for example, there were 20 "Big" planets "Near" their star that were habitable.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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In this problem, you will come up with decision trees to predict if a planet is habitable based only on
features observed by the telescope.
In the table below, you are given the data from all 800 planets surveyed so far. The features observed by
telescope are Size (“Big” or “Small”), and Orbit (“Near” or “Far”). Each row indicates the values of the
features and habitability, and how many times that set of values was observed. So, for example, there
were 20 “Big” planets “Near” their star that were habitable.
Determine if Planet=Big and Orbit=Far is habitable? Derive and draw the decision tree learned by ID3 on
this data.
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