AI Engineering Degree Practice Exam

Regression is a statistical method used for predicting and modeling the relationship between a dependent variable and one or more independent variables. It is particularly effective when the task involves estimating a continuous outcome based on various input features. In the context of forecasting rainfall amounts, regression models can analyze historical weather data, such as temperature and humidity levels, to produce precise predictions about future rainfall. This continuous nature of the output (amount of rainfall) makes regression a suitable technique for such an application. Other choices involve different types of analyses. Predicting the outcome of a football match (first choice) typically involves categorical outcomes (win, loss, draw) and is better suited to classification methods rather than regression. Classifying emails as spam or not (third choice) also involves a binary classification approach, where the aim is to categorize each email rather than predict a continuous outcome. Identifying fraudulent transactions (fourth choice) also falls under classification, as the goal is to label transactions as either fraudulent or legitimate based on certain parameters. Thus, forecasting rainfall aligns with the nature of regression, making it the most appropriate application among the provided options.