C4.5 algorithm and Multivariate Decision Trees

The aim of this presentation is to show a brief description about the C4.5 algorithm, used to create Univariate Decision Trees. We also talk about Multivariate Decision Trees, their process to classify instances using more than one attribute per node in the tree. We try to discuss how they work, and how to implement the algorithms that build such trees, including examples of Univariate and Multivariate results.

Category:

Howto & Style

Tags:

• C4.5
• algorithm
• Multivariate
• Decision
• Tree
• presentation

[number1neek]

cant hear you

[tkorting]

@number1neek Try to use the captions (cc), automatically generated by youtube.

[talecan]

it could be useful if i could hear the speaker :|

[tkorting]

@talecan have you tried to increase the volume? ;)

[anjumsheikh]

Sir, I am looking for CRT explinarions. Please advice

[tkorting]

@anjumsheikh

There is a book called "The elements of statistical learning: data mining, inference, and prediction‎", from "Trevor Hastie, Robert Tibshirani, Jerome H. Friedman"

[number1neek]

@tkorting (00:00) - (10:01) hope that helps

[BRVNL]

Thanks, your lectures will be usefull.

[zaeemahmedabbasi]

It was helpful but what if we have a complete example

[Louise13Lane]

helpful!