Consider the following hypothetical scenario. A car company would like to use a Bayesian Network model to better predict whether a certain customer will buy a specific car, so they

can focus their efforts on developing certain car models. Specifically, they want to label pairs of customers and car models according to whether they belong to the target class 'buys'. The manufacturer has selected eight attributes, each taking values from {yes, no}, namely Basic features of the car: - '5-star safety rating': whether the car model has been awarded with the highest safety rating (5-stars in this case) - 'side-airbags':whether the car model includes side airbags ʻlarge engine capacity': whether the car has a capacity of at least 2 litres 'expensive' whether the car is expensive Characteristics of the client: 'young': whether the client is young • 'rich': whether the client is rich 'family':whether the client is a family • 'interested': whether the client is interested in the car