Training Data
The dataset a model learns from during training.
Training data is the labeled or unlabeled dataset a model learns from, and its quality and representativeness set the ceiling on model performance. In Amazon SageMaker, practitioners typically supply training data from Amazon S3, splitting it into training, validation, and test sets to control learning and unbiased evaluation. The exam stresses the training-versus-test distinction: training data shapes the model’s weights, while test data must stay entirely unseen until final evaluation to yield a valid accuracy estimate. Leaking test data into training inflates reported performance, a common scenario trap on AIF-C01.
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