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JGS594 Lecture 23

JGS594 Lecture 23

Software Engineering for Machine Learning
Final Review
(202204)

Javier Gonzalez-Sanchez

April 28, 2022
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  1. jgs SER 594 Software Engineering for Machine Learning Lecture 23:

    Final Review Dr. Javier Gonzalez-Sanchez [email protected] javiergs.engineering.asu.edu | javiergs.com PERALTA 230U Office Hours: By appointment
  2. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 15

    jgs Assignment | Step 1 § Select 3 public available dataset. Search for at least 1 huge and if possible related to sensor’s data. § You will need to provide the URL to get them
  3. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 16

    jgs Assignment | Step 2 For each dataset create the following models § Naïve Bayes § Decision Tree § Random Forest
  4. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 17

    jgs Assignment | Step 3 For each model evaluate its performance: § Naïve Bayes § Decision Tree § Random Forest Do not forget to separate Training and Testing datasets Show Confusion Matrix and the 4 known metrics
  5. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 18

    jgs Assignment | Step 4 Report conclusions § Which one works better for each case? § Why? As usual submit a paper including: a) Description of the selected datasets b) Source Code c) Evaluation d) B) Explain your findings and Conclusions § Academic Integrity 👀
  6. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 20

    jgs Machine Learning model coding evaluation concepts
  7. jgs The following slides shows some examples related to some

    topics This is NOT a comprehensive list of topics Topics in the exam can be found Weeks 2 to 15 (Lectures 1 to 25)
  8. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 28

    jgs Weka | J48 Decision Tree CSV file
  9. 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.