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Answer: To accurately predict which customers are at risk of churning, thereby enabling the company to deploy targeted and effective retention strategies that comply with financial regulations., To rigorously evaluate the model's performance using comprehensive metrics such as accuracy, recall, and precision, ensuring it aligns with the business's high standards and regulatory requirements.
The primary objective of this project is to accurately predict customer churn (C), as this directly addresses the business's need to retain customers. Evaluating the model's performance (A) is a secondary objective, crucial for ensuring the model's predictions are reliable and meet both business and regulatory standards. Option E suggests that both objectives are equally primary, but while both are essential, prediction accuracy is the ultimate goal, with evaluation serving to validate this goal. Options B and D, while important for data handling and preparation, do not represent the primary or secondary objectives of the project.
Author: LeetQuiz Editorial Team
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A financial services company is embarking on a project to develop a machine learning model aimed at predicting customer churn with high accuracy, scalability, and compliance with stringent financial regulations. The company possesses extensive customer data, including detailed transaction histories and records of customer service interactions. Given these constraints and objectives, which of the following best describes the primary and secondary objectives of this project? Choose the best two options.
A
To rigorously evaluate the model's performance using comprehensive metrics such as accuracy, recall, and precision, ensuring it aligns with the business's high standards and regulatory requirements.
B
To indiscriminately collect and utilize all available customer data, including highly sensitive financial information, without implementing necessary safeguards or considering data privacy laws.
C
To accurately predict which customers are at risk of churning, thereby enabling the company to deploy targeted and effective retention strategies that comply with financial regulations.
D
To meticulously preprocess the data by normalizing and encoding features, ensuring the model's input is optimized for training while adhering to data privacy standards.
E
Both A and C are correct because evaluating model performance is as critical as making accurate predictions for the project's success, especially in a regulated financial environment.