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AI-900: Importance of Data Split Training vs. Validation Sets in ML

Understand the significance of splitting data into training and validation sets in machine learning. Explore the benefits of unbiased model assessment and prevention of overfitting for accurate predictions!

Table of Contents

Question

Why do you split data into training and validation sets?

Answer

Splitting data into two sets enables you to compare the labels that the model predicts with the actual known labels in the original dataset.

Explanation

Splitting data into training and validation sets serves to assess machine learning models effectively. This segregation enables model training on one portion of the dataset (training set) while reserving another portion (validation set) for model evaluation. It helps gauge how well the model generalizes to new, unseen data, thereby minimizing overfitting and providing an unbiased estimate of model performance.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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