AI-900: How to Use Regression for Traffic Prediction with Azure Machine Learning

Learn how to use regression for traffic prediction with Azure Machine Learning. Find out what regression is and how it can help you predict how many vehicles will travel across a bridge on a given day.

Question

HOTSPOT (Drag & Drop is not supported)
Select the answer that correctly completes the sentence.

Predicting how many vehicles will travel across a bridge on a given day is an example of __________.

A. classification
B. clustering
C. regression

Answer

C. regression

Explanation

Regression is a machine learning task that is used to predict the value of the label from a set of related features.

The correct answer is C. regression. Regression is a type of machine learning technique that predicts a continuous numerical value based on the input features. For example, predicting how many vehicles will travel across a bridge on a given day is a regression problem, because the output is a numerical value that can vary within a range. Regression models can use different algorithms to learn the relationship between the input features and the output value, such as linear regression, decision trees, neural networks, etc.

Classification is a type of machine learning technique that predicts a discrete categorical value based on the input features. For example, predicting whether a vehicle is a car or a truck is a classification problem, because the output is a categorical value that can only take a few possible values. Classification models can use different algorithms to learn the relationship between the input features and the output value, such as logistic regression, k-nearest neighbors, support vector machines, etc.

Clustering is a type of machine learning technique that groups similar data points together based on their features. For example, clustering vehicles based on their size, color, and shape is a clustering problem, because the output is a set of clusters that contain similar vehicles. Clustering models can use different algorithms to learn the relationship between the data points and the clusters, such as k-means, hierarchical clustering, density-based clustering, etc.

Reference

Microsoft Learn > .NET > ML.NET guide > Resources > Machine learning tasks in ML.NET

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.