What is the f score if setting probabilistic classification

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Question 1: In Naïve Bayesian classifiers, the numerical underflow and the zero count are two important issues. Explain these two issues and describe at least one common technique to overcome each issue.

Question 2: Assume that a Bayesian classifier returns the following outcomes for a binary classification problem, which are sorted by decreasing probability values. P (resp., N) refers to a record belonging to a positive (resp., negative) class.

Answer the following questions for the above example, and present all steps of calculation in detail.

(a) What is the F score (i.e. F1 score) if setting the probabilistic classification threshold to 0.59?

(b) What is the highest probabilistic classification threshold such that the recall (sensitivity) is at least 80%?

Reference no: EM133214911

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