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?
To evaluate the model's ability to generalize to new data
To prevent the model from using too much data at once
To increase accuracy by training on multiple subsets
To simplify the model by reducing the number of features