Week 2: Probability and Distribution Functions PDF
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Software Engineering Program, Computer Science Department
Engr. Mehran M. Memon
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Summary
This document discusses information gain and entropy in the context of training decision trees. It is part of a data science course for final year software engineering students.
Full Transcript
Data Science Software Engineering Program, Computer Science Department 7th Term, Final Year Teacher: Engr. Mehran M. Memon A Simple Explanation of Information Gain and Entropy What Information Gain and Information Entropy are and how they're used to train Decision Trees. ...
Data Science Software Engineering Program, Computer Science Department 7th Term, Final Year Teacher: Engr. Mehran M. Memon A Simple Explanation of Information Gain and Entropy What Information Gain and Information Entropy are and how they're used to train Decision Trees. Zc=Confidence Interval Sigma= Standard Deviation n= sample size