Model evaluation, using techniques like Cross-Validation, measure a model’s effectiveness. Model validation, through processes such as Hyperparameter Tuning, ensures that the model performs well on unseen data.

Model evaluation, using techniques like Cross-Validation, measure a model’s effectiveness. Model validation, through processes such as

Hyperparameter Tuning, ensures that the model performs well on unseen data. These steps are important in building trustworthy and effective

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