In model evaluation, what is the term for the process of assessing a model's performance using a separate, held-out dataset that was not used during training or validation?
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Data Science · all questionsModel Evaluation and Validation
Model Evaluation and Validation
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What is the primary purpose of a learning rate decay in training deep neural networks?
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Which evaluation metric is commonly used for binary classification models and measures the ability to correctly classify negative instances?
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What does the term "bias-variance trade-off" refer to in the context of model evaluation and validation?
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In model evaluation, what is the primary goal of stratified sampling when creating train and test sets?
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