1. [20 points) Calculate the entropy and information gain for each attribute and build a decision tree to classify the d

Business, Finance, Economics, Accounting, Operations Management, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Algebra, Precalculus, Statistics and Probabilty, Advanced Math, Physics, Chemistry, Biology, Nursing, Psychology, Certifications, Tests, Prep, and more.
Post Reply
answerhappygod
Site Admin
Posts: 899603
Joined: Mon Aug 02, 2021 8:13 am

1. [20 points) Calculate the entropy and information gain for each attribute and build a decision tree to classify the d

Post by answerhappygod »

1 20 Points Calculate The Entropy And Information Gain For Each Attribute And Build A Decision Tree To Classify The D 1
1 20 Points Calculate The Entropy And Information Gain For Each Attribute And Build A Decision Tree To Classify The D 1 (22.86 KiB) Viewed 55 times
Also show the formula used to calculate entropy
1. [20 points) Calculate the entropy and information gain for each attribute and build a decision tree to classify the data points Attributes Class (x1,x2,x3) (0, 0, 0) 0 (0, 0, 1) 0 (0, 1, 0) 0 (0, 1, 1) 0 (1,0,0) 0 (1, 0, 1) 1 (1, 1, 0) 0 (1, 1, 1) 1
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!
Post Reply