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Proctor Level3_9

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  1. 1
    What is Support in a Classification Report?
    Times asked 2
  2. 2
    What is ROC-AUC? (Full form)
    Times asked 1
  3. 3
    How do you interpret the ROC-AUC score?
    Times asked 1
  4. 4
    What is Correlation?
    Times asked 2
  5. 5
    What do you infer from a Correlation Matrix?
    Times asked 1
  6. 6
    Explain Decision Tree working in depth.
    Times asked 1
  7. 7
    What are the assumptions of Linear Regression?
    Times asked 1
  8. 8
    What is the Curse of Dimensionality?
    Times asked 2
  9. 9
    How does Dimensionality Reduction work?
    Times asked 1
  10. 10
    Does dimensionality reduction remove/discard data points?
    Times asked 1
  11. 11
    What is random_state=42?
    Times asked 1
  12. 12
    Why is 42 commonly used?
    Times asked 1
  13. 13
    Why choose a learning rate like 0.01 / 0.1 / 0.2 instead of 1 / 2 / 3?
    Times asked 1
  14. 14
    What is the objective of your project?
    Times asked 1
  15. 15
    What is a Loss Function?
    Times asked 1
  16. 16
    What properties should a good loss function have?
    Times asked 1
  17. 17
    Explain Bias vs Variance.
    Times asked 1
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