Scenario: A team is building a churn-prediction tool for a subscription service. The project brief says the team may use only the supervised-learning methods named in the brief. The brief names three examples: linear regression, logistic regression, and neural networks.

Task: List the methods the team is allowed to use and explain why no additional methods qualify under the brief.

Sample answer: The permitted methods are linear regression, logistic regression, and neural networks. They are allowed because the brief explicitly names those three as the supervised-learning examples for this project. Any other algorithm would go beyond the stated limit.

Key points:

• Identify linear regression, logistic regression, and neural networks.
• Explain that the brief explicitly names those three methods as the approved supervised-learning examples.
• State that methods not listed in the brief are not allowed.

Rubric: The answer must identify linear regression, logistic regression, and neural networks, and explain that the project rules allow only the supervised-learning examples named in the brief.