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JGS594 Lecture 22

JGS594 Lecture 22

Software Engineering for Machine Learning
Decision Trees
(202204)

Javier Gonzalez-Sanchez
PRO

April 21, 2022
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  1. jgs
    SER 594
    Software Engineering for
    Machine Learning
    Lecture 22: Classification II
    Dr. Javier Gonzalez-Sanchez
    [email protected]
    javiergs.engineering.asu.edu | javiergs.com
    PERALTA 230U
    Office Hours: By appointment

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  2. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 2
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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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  8. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 8
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    Gain

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  10. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 10
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    Example

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  12. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 12
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    Weka | NaiveBayes
    CSV file

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  13. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 13
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    Evaluation (using 66% of training)

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  14. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 14
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    Questions

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  15. jgs
    SER 594 Software Engineering for Machine Learning
    Javier Gonzalez-Sanchez, Ph.D.
    [email protected]
    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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