Learn how to predict flight delays based on snowfall using regression machine learning. Get a comprehensive explanation of the best machine learning type to use for predicting flight delays based on snowfall.
Table of Contents
Question
Let’s suppose you want to create an Al system that can predict how many minutes late a flight will arrive based on the amount of snowfall at an airport. Which machine learning type should you use?
A. Classification
B. Regression
C. Clustering
Answer
B. Regression
Explanation
Regression is a supervised machine learning technique used to predict numeric values.
To predict how many minutes late a flight will arrive based on the amount of snowfall at an airport, you should use regression machine learning type. Regression is a type of supervised learning that predicts a continuous output variable (in this case, the number of minutes late a flight will arrive) based on one or more input variables (in this case, the amount of snowfall at an airport). Regression models are used to establish relationships between variables and to predict continuous outcomes. In this case, the amount of snowfall is the input variable, and the number of minutes late a flight will arrive is the output variable. Therefore, regression is the most appropriate machine learning type to use in this scenario.
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