JGS594 Lecture 23

Software Engineering for Machine Learning
Final Review
(202204)

Transcript

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   SER 594
   Software Engineering for
   Machine Learning
   Lecture 23: Final Review
   Dr. Javier Gonzalez-Sanchez
   javiergs@asu.edu
   javiergs.engineering.asu.edu | javiergs.com
   PERALTA 230U
   Office Hours: By appointment
   

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   Assignment 06
   Classification
   

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3. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 15
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   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
   

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4. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 16
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   Assignment | Step 2
   For each dataset create the following models
   § Naïve Bayes
   § Decision Tree
   § Random Forest
   

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5. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 17
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   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
   

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6. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 18
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   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 👀
   

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   Final Exam
   

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8. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 20
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   Machine Learning
   model
   coding
   evaluation
   concepts
   

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   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)
   

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    Review Lecture 13 for Topics Related to
    Deep Learning
    

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11. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 23
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    Weka | Kmeans
    

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12. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 24
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    Weka | EM
    

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13. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 25
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    Mallet | Text Mining
    

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14. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 26
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    Mallet | NaiveBayes
    

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15. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 27
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    Weka | NaiveBayes
    CSV file
    

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16. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 28
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    Weka | J48 Decision Tree
    CSV file
    

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17. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 29
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    Weka | Random Forest
    

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18. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 30
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    Questions
    

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19. 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.
    

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