(4.2) 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.Tuple #1Probability0.900.80ClassPP.30.704N0.600.550.540.530.510.500.4078N10NAnswer 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 least80%?

e that a Bayesian classifier returns the following outcomes for a binary classification pro rted by decreasing probability values. P (resp., N) refers to a record belonging to a positive ( ass. Tuple # 1 Class Probability 0.90 0.80 0.70 3 P

e that a Bayesian classifier returns the following outcomes for a binary classification pro rted by decreasing probability values. P (resp., N) refers to a record belonging to a positive ( ass. Tuple # 1 Class Probability 0.90 0.80 0.70 3 P

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter17: Linked Lists

Section: Chapter Questions

Problem 2PE

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