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Quiz: ML and Regression

5 questionsNo time limitPass: 60%+10 XP on first pass

What machine learning really is, supervised vs unsupervised, features and targets, why we split data into train and test sets, and your first model — predicting packages with linear regression and judging it with MAE and R².

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  1. Question 1

    Why do we keep a separate test set?

  2. Question 2

    Predicting a student's package in LPA is a…

  3. Question 3

    What does an MAE of 0.5 LPA mean?

  4. Question 4

    R² = 0 means the model…

  5. Question 5

    In scikit-learn, which call trains a model?