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AUG 2023 | IRE Journals | Volume 7 Issue 2 | ISSN: 24568880Machine Learning Framework for Improving Customer Retention and Revenue using Churn Prediction Models RUDRENDU KUMAR PAUL1, ARYYAMA KUMAR

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What is machine learning framework for?

A machine learning framework is designed to provide tools, libraries, and best practices for building, training, and deploying machine learning models efficiently and effectively.

Who is required to file machine learning framework for?

Individuals or organizations involved in developing, deploying, or utilizing machine learning models may be required to file a machine learning framework, particularly in regulated industries or when reporting to oversight bodies.

How to fill out machine learning framework for?

To fill out a machine learning framework, one typically needs to gather relevant data on the models used, the algorithms applied, the training and testing processes, and the evaluation metrics, and then input this information into the designated format or template.

What is the purpose of machine learning framework for?

The purpose of a machine learning framework is to standardize the development process, ensure compliance with regulations, facilitate collaboration among teams, and improve the reproducibility and reliability of machine learning projects.

What information must be reported on machine learning framework for?

Information that must be reported on a machine learning framework typically includes model architecture, training datasets, methodologies, performance metrics, validation results, and ethical considerations related to the model's use.

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