Decision tree models can be trained by minimizing the entropy of each attribute.
Added by Sara B.
Step 1
Entropy is a measure of impurity in a set of data. It is calculated using the formula: Entropy(S) = -p(+) * log2(p(+)) - p(-) * log2(p(-)) where p(+) is the proportion of positive instances in the data set and p(-) is the proportion of negative instances. Show more…
Show all steps
Your feedback will help us improve your experience
Madhur L and 70 other AP CS educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
In decision tree analysis, the procedure that is used to avoid having to include every possible branch in the tree is known as A. Information B. Overfitting C. Pruning D. Entropy
Madhur L.
Consider a two-category problem and the following training patterns, each having four binary attributes: a b 0110 1011 1010 0000 0011 0100 1111 1110 (a) Use the entropy to create, by hand, an unpruned classifier for these data. (b) Apply simple logical reduction methods to your tree in order to express each category by the simplest logical expression, that is, with the fewest ANDs and ORs.
Akash M.
Question 1 Which of the following are advantages to using decision trees over other models? (Select all that apply) - Trees are easy to interpret and visualize - Trees are naturally resistant to overfitting - Trees often require less preprocessing of data Question 2 What is the main reason that each tree of a random forest only looks at a random subset of the features when building each node? - To improve generalization by increasing the diversity among the trees and making the model more robust to overfitting.
T. L.
Recommended Textbooks
Computer Science and Information Technology
Introduction to Programming Using Python
Computer Science - An Overview
Transcript
18,000,000+
Students on Numerade
Trusted by students at 8,000+ universities
Watch the video solution with this free unlock.
EMAIL
PASSWORD