menu-iconExamlexExamLexServices

Discover

Ask a Question
  1. All Topics
  2. Topic
    Business
  3. Study Set
    Business Analytics
  4. Exam
    Exam 9: Supervised Data Mining: K-Nearest Neighbors and Naãve Bayes
  5. Question
    Specificity Is
Solved

Specificity Is

Question 32

Question 32

Multiple Choice

Specificity is


A) TP ÷ (TP + FN) .
B) TN ÷ (TN + FP) .
C) TP ÷ (TN + FP) .
D) 1 − TN ÷ (TN + FP) .

Correct Answer:

verifed

Verified

Unlock this answer now
Get Access to more Verified Answers free of charge

Related Questions

Q27: The marketing group and Rings Are Us

Q28: Using the following table, which k should

Q29: For a new observation of (0, 0,

Q30: Using the table below, find the k-nearest

Q31: Unlike the KNN method, the naïve Bayes

Q33: While k-nearest neighbors is effective as a

Q34: The following table is the count of

Q35: A new applicant, age 45, is applying

Q36: Using the table below, find the k-nearest

Q37: The following table reflects the observations made

Examlex

ExamLex

About UsContact UsPerks CenterHomeschoolingTest Prep

Work With Us

Campus RepresentativeInfluencers

Links

FaqPricingChrome Extension

Download The App

Get App StoreGet Google Play

Policies

Privacy PolicyTerms of ServiceHonor CodeCommunity Guidelines

Scan To Download

qr-code

Copyright © (2025) ExamLex LLC.

Privacy PolicyTerms Of ServiceHonor CodeCommunity Guidelines