Lecture

Building a Decision Tree

In course

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Description

This lecture covers the process of building a decision tree to classify mushrooms as poisonous or not based on given data. It includes determining entropy, selecting the root attribute, calculating information gain, and classifying new mushrooms. The lecture also discusses the greedy character of maximizing information gain and decision tree pruning techniques.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_3im3ao35

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Ontological neighbourhood

Information engineering

Information theory: Channel capacity

Theoretical computer science

Algorithms and data structures: Data structures

Programming language theory: High-level programming languages

Statistics

Statistical inference: Statistical hypothesis testing

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