JGS594 Lecture 22

Software Engineering for Machine Learning
Decision Trees
(202204)

Transcript

1. jgs 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
2. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 2 jgs Machine Learning
3. jgs Classification Decision Tree
4. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 4 jgs Data
5. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 5 jgs Example
6. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 6 jgs Example Which Attribute Should be the ROOT?
7. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 7 jgs 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.
8. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 8 jgs Gain
9. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 9 jgs
10. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 10 jgs Example
11. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 11 jgs
12. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 12 jgs Weka | NaiveBayes CSV file
13. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 13 jgs Evaluation (using 66% of training)
14. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 14 jgs Questions
15. jgs 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.