Questions
Unknown Question Type
Which are types of supervised learning problems? (Select all that apply)
Options
A.Time series Analysis
B.Regression
C.Logistic regression
D.Clustering
View Explanation
Verified Answer
Please login to view
Step-by-Step Analysis
Question: Which are types of supervised learning problems? (Select all that apply)
Option 1: Time series Analysis
- Time series analysis often involves forecasting future values based on past observations. While such problems can be tackled with machine learning, they are not inherently classified as a standard type of supervised learning. Time series methods include both supervised approaches (e.g., predicting a numer......Login to view full explanationLog in for full answers
We've collected over 50,000 authentic exam questions and detailed explanations from around the globe. Log in now and get instant access to the answers!
Similar Questions
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
More Practical Tools for Students Powered by AI Study Helper
Making Your Study Simpler
Join us and instantly unlock extensive past papers & exclusive solutions to get a head start on your studies!