Which application is NOT typically associated with Random Forests?
Practice Questions
Q1
Which application is NOT typically associated with Random Forests?
Credit scoring
Spam detection
Image classification
Linear regression
Questions & Step-by-Step Solutions
Which application is NOT typically associated with Random Forests?
Step 1: Understand what Random Forests are. They are a type of machine learning algorithm used for making predictions.
Step 2: Identify the main tasks Random Forests are used for. These include classification (sorting data into categories) and regression (predicting continuous values).
Step 3: Recognize that linear regression is a different method used for predicting continuous values, but it is not the same as Random Forests.
Step 4: Conclude that since Random Forests are not typically used for linear regression, that is the application that is NOT associated with them.
