AI-900 Question #278: Real Exam Question with Answer & Explanation

Question

What is an example of a regression model in machine learning?

Options

• Adividing the student data in a dataset based on the age of the students and their educational
• Bidentifying subtypes of spam email by examining a large collection of emails that were flagged by
• Cpredicting the sale price of a house based on historical data, the size of the house, and the
• Didentifying population counts of endangered animals by analyzing images

Explanation

In machine learning, a regression model is a predictive tool used to understand and model the relationship between a dependent variable (the outcome) and one or more independent variables (features). The goal is to predict a continuous numerical value based on the input features. Regression models are a type of supervised learning technique that uses statistical methods to learn patterns from data and make predictions. In Azure Machine Learning, a regression model is a supervised machine learning technique used to predict continuous numerical values. Unlike classification, which predicts categorical labels, regression models aim to establish relationships between independent variables and a continuous dependent variable, such as predicting house prices based on factors like square footage and location. https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/linear-regression

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