Correct Answer is: A
The most important purpose of a validation dataset when developing a machine learning model is to evaluate the model's performance on unseen data and prevent overfitting. It provides an unbiased estimate of how well the model generalizes to new, independent data by allowing you to tune hyperparameters and assess the model's accuracy, precision, recall, or other metrics during training. This helps ensure the model is not just memorizing the training data but learning patterns that apply broadly.
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