Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 113 discussion

Provides interpretable weights that can be manually adjusted based on domain expertise.

A: Logistic regression model Explanation: A logistic regression model is interpretable and allows direct adjustment of the weights assigned to different variables (features). This aligns with the requirement for employees to view and modify the weights based on their domain knowledge and expertise. Logistic regression provides a clear relationship between input features and output predictions, making it ideal for use cases that demand transparency and control.

The correct answer is A. Logistic regression models allow for easy interpretation and adjustment of weights.

A logistic regression model allows for clear, adjustable weights based on domain knowledge, making it the best choice for a lead prioritization application where employees can modify model parameters easily.

Logistic regression models are interpretable and allow the user to view and adjust the weights assigned to different variables (features). These weights determine the contribution of each feature to the final prediction, and they can be modified based on domain knowledge or expertise. This characteristic makes logistic regression a suitable choice for the lead prioritization application, as employees can easily understand and fine-tune the model to align with their specific business requirements.