题目

多项选择题

Question34 Which of the following statement(s) correctly describe properties of Supervised Learning?Select one or more alternatives: Supervised Learning cannot handle regression problems, as it is designed for discrete outputs. Supervised Learning can be used for classification tasks. Supervised Learning algorithms learn from input-output pairs to make predictions. Supervised Learning algorithms require labeled data for both training and testing ResetMaximum marks: 3 Flag question undefined

选项

A.Supervised Learning cannot handle regression problems, as it is designed for discrete outputs.

B.Supervised Learning can be used for classification tasks.

C.Supervised Learning algorithms learn from input-output pairs to make predictions.

D.Supervised Learning algorithms require labeled data for both training and testing

查看解析

标准答案

Please login to view

思路分析

The question asks which statements correctly describe properties of Supervised Learning, and it allows multiple true options. We will assess each choice in turn before identifying which are correct. Option 1: 'Supervised Learning cannot handle regression problems, as it is designed for discrete outputs.' Th......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

What is the result of training a supervised learning model given a certain set of data 𝑋 and labels 𝑦 ? I A function f describing the mapping 𝑓 ( 𝑦 ; 𝜃 ) = 𝑋 , where 𝜃 is the set of optimized model parameters. II A function f describing the mapping 𝑓 ( 𝑋 ; 𝜃 ) = 𝑦 , where 𝜃 is the set of optimized model parameters. III A function f describing the mapping 𝑓 ( 𝑋 ; 𝜃 ) = 𝑦 , where 𝜃 is the subset of data holdout for testing. IV A function f describes the mapping 𝑓 ( 𝑋 ; 𝜃 ) = 𝑦 , where 𝜃 is the set of model parameters chosen arbitrarily by the user.

A subscription-based fitness app wants to reduce customer churn, and the analytics team has historical data showing which past customers stayed or canceled. They want to train a model that can predict, for each current user, whether they are likely to churn next month based on their labeled history. What type of learning problem is this?

Question34 Which of the following statement(s) correctly describe characteristics of Supervised Learning? Select one or more alternatives: Supervised Learning algorithms cannot generalize to unseen data. The goal of Supervised Learning is to map inputs to outputs based on labeled examples. Both classification and regression are common types of Supervised Learning tasks. Supervised Learning uses known target values to train predictive models. ResetMaximum marks: 3 Flag question undefined

Question34 Which of the following statement(s) correctly describe characteristics of Supervised Learning? Select one or more alternatives: Supervised Learning uses known target values to train predictive models. Supervised Learning algorithms cannot generalize to unseen data. The goal of Supervised Learning is to map inputs to outputs based on labeled examples. Both classification and regression are common types of Supervised Learning tasks. ResetMaximum marks: 3 Flag question undefined

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！