6.3 Machine Learning

Learning Goal: I’m working on a computer science writing question and need an explanation and answer to help me learn.

Machine Learning. Use the code located at https://repl.it/@jlocklair/CSC150ML to answer the following questions:

(you may need to craete a free account in order to view/access this code)

  1. The code uses linear regression to predict a student’s test score when given the number of hours they studied. What is the predicted test score for a student who studies for 2 hours? 4 hours? 8 hours?
  2. Look at student_scores.csv and find a study time that exists in the data set (first column). When you enter that score into the algorithm, does the prediction exactly match the recorded test score? Explain.
  3. Edit the data in student_scores.csv to create several “outliers” (students who either studied a short time and got high scores, or students who studied a long time and got low scores). How does this affect the accuracy of the model? Explain.
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