题目

多项选择题

Naïve Bayes Classifier can be used for ______________________. Select all that apply for full marks.

选项

A.Weather prediction

B.Text classification

C.Facial recognition

D.Medical diagnosis

E.All of these mentioned here

查看解析

标准答案

Please login to view

思路分析

The question asks which domains Naïve Bayes Classifier can be used for, and it asks you to select all that apply. Option 1: Weather prediction. In principle, Naïve Bayes can be used for weather-related classification or forecasting tasks where you model features (like humidity, temperature, pressure indicators) and predict a probabilistic outcome (e.g., rain/no rain). While weather prediction often uses more complex models, NB can be ......Login to view full explanation

登录即可查看完整答案

我们收录了全球超50000道考试原题与详细解析,现在登录,立即获得答案。

类似问题

Which statements about Naive Bayes are true? (Select all that apply.)

Question16 Suppose that you are given the following set of data with three Boolean input variables x1, x2 and x3 and a single Boolean output variable y (Recall: Bayes theorem tells us: [math]) [table] x1 | x2 | x3 | y 1 | 0 | 1 | 1 1 | 1 | 1 | 1 0 | 1 | 1 | 0 1 | 1 | 0 | 0 1 | 0 | 1 | 0 0 | 0 | 0 | 1 0 | 0 | 0 | 1 0 | 0 | 1 | 0 [/table] According to naïve Bayes classifier, what is [math] ? (select one) 0.75 0.25 0.5 1 ResetMaximum marks: 1 Flag question undefined

Question12 Which of the following statements is/are CORRECT about Naïve Bayes? (you can choose more than one)Select one or more alternatives: Naïve Bayes assumes that samples are statistically independent given the class value Naïve Bayes can be applied to both numerical and categorical features If the conditional independence assumption gets violated, Naïve Bayes will be useless Naïve Bayes is a generative model ResetMaximum marks: 1.5 Flag question undefined

Which of the following statements about Naive Bayes is incorrect? 1. Features are equally important 2. Features are statistically dependent of one another given the class value 3. The model calculates the posterior probability of each class given the input features 4. Features can be nominal or numeric

更多留学生实用工具

希望你的学习变得更简单

加入我们，立即解锁海量真题与独家解析，让复习快人一步！