Nonlinear Optimization
A validation set is a subset of data used to evaluate the performance of a machine learning model during the training process. This set helps in fine-tuning the model by providing feedback on how well it generalizes to unseen data, allowing adjustments to hyperparameters and preventing overfitting. It serves as a checkpoint to assess the model's ability to make accurate predictions before final testing.
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