Regression

The video tutorial explains supervised learning, focusing on regression, a type of learning where the output is a continuous value. It uses a video game dataset to demonstrate how regression can predict game prices. The tutorial highlights the importance of identifying dependent and independent variables, with price as the dependent variable. The model analyzes independent variables to predict the price, illustrating a regression problem.

What are the two main components of supervised learning?

• Classification and Clustering

• Regression and Clustering

• Classification and Regression

• Regression and Dimensionality Reduction

In the context of regression, what type of value is typically predicted?

• Continuous value

• Discrete value

• Binary value

• Categorical value

Which of the following is an example of a continuous value that regression might predict?

• Color

• Category

• Temperature

• Shape

In the video game dataset, which variable is considered dependent?

• Year of publish

• IGN rating

• Online mode availability

• Price

What is the role of independent variables in a regression model?

• To determine the model's accuracy

• To provide input for predicting the dependent variable

• To classify data into categories

• To be predicted by the model