Microsoft Azure AI Fundamentals AI-900 Practice Question

Why is a dataset often split into training and validation subsets when developing a machine learning model?

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    To evaluate the model's ability to generalize to new data

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    To prevent the model from using too much data at once

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    To increase accuracy by training on multiple subsets

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    To simplify the model by reducing the number of features

Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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