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AI-900: Understanding Validation Sets in Model Training Role and Impact

Explore how validation sets play a crucial role in evaluating model performance and refining predictions in machine learning. Understand their significance for accurate model training and predictions.

Table of Contents

Question

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Statement 1: A validation set includes the set of input examples that will be used to train a model.
Statement 2: A validation set can be used to determine how well a model predicts labels.
Statement 3: A validation set can be used to verify that all the training data was used to train the model.

Answer

Statement 1: A validation set includes the set of input examples that will be used to train a model: No
Statement 2: A validation set can be used to determine how well a model predicts labels: Yes
Statement 3: A validation set can be used to verify that all the training data was used to train the model: No

Explanation

Statement 1: A validation set includes the set of input examples that will be used to train a model: No
The validation dataset is different from the test dataset that is held back from the training of the model.

Statement 2: A validation set can be used to determine how well a model predicts labels: Yes
A validation dataset is a sample of data that is used to give an estimate of model skill while tuning model’s hyperparameters.

Statement 3: A validation set can be used to verify that all the training data was used to train the model: No
The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.

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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