JGS594 Lecture 22

Software Engineering for Machine Learning
Decision Trees
(202204)

Transcript

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   SER 594
   Software Engineering for
   Machine Learning
   Lecture 22: Classification II
   Dr. Javier Gonzalez-Sanchez
   javiergs@asu.edu
   javiergs.engineering.asu.edu | javiergs.com
   PERALTA 230U
   Office Hours: By appointment
   

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   Machine Learning
   

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   Classification
   Decision Tree
   

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   Data
   

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   Example
   

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   Example
   Which Attribute Should be the ROOT?
   

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   Entropy
   Entropy is defined as the measurement of degree of randomness or
   in other words, it is the increase in the disorganization within a system.
   

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   Gain
   

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    Example
    

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    Weka | NaiveBayes
    CSV file
    

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    Evaluation (using 66% of training)
    

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    Questions
    

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    SER 594 Software Engineering for Machine Learning
    Javier Gonzalez-Sanchez, Ph.D.
    javiergs@asu.edu
    Spring 2022
    Copyright. These slides can only be used as study material for the class CSE205 at Arizona State University.
    They cannot be distributed or used for another purpose.
    

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