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Answer the following questions briefly. (a) What is the variance of an estimator? How does it relate to underfitting and overfitting? (b) In logistic regression,

Answer the following questions briefly.

(a) What is the variance of an estimator? How does it relate to underfitting and overfitting?

(b) In logistic regression, when does P(y = 1|x) becomes 0.5?

(c) Why are relative metrics like MAPE (Mean Absolute Percentage Error) important? Justify your claim with examples.

(d) Why is regularization useful in logistic regression?

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