In supervised learning, what is the primary goal of regression algorithms?
Practice Questions
1 question
Q1
In supervised learning, what is the primary goal of regression algorithms?
To classify data into categories
To predict continuous outcomes
To cluster similar data points
To reduce dimensionality
The primary goal of regression algorithms in supervised learning is to predict continuous outcomes based on input features.
Questions & Step-by-step Solutions
1 item
Q
Q: In supervised learning, what is the primary goal of regression algorithms?
Solution: The primary goal of regression algorithms in supervised learning is to predict continuous outcomes based on input features.
Steps: 5
Step 1: Understand that supervised learning is a type of machine learning where we train a model using labeled data.
Step 2: Know that regression algorithms are a specific type of supervised learning.
Step 3: Recognize that the main task of regression algorithms is to make predictions.
Step 4: Identify that these predictions are for continuous outcomes, which means they can take any value within a range (like height, weight, or temperature).
Step 5: Conclude that regression algorithms use input features (data points) to predict these continuous outcomes.
