model visualization and explanations

Model visualization and explanations refer to techniques and tools used to present and interpret complex machine learning models in a visually understandable way. It involves visualizing the inner workings, predictions, or decision-making processes of models, as well as providing explanations for their outputs. The goal is to make the models more transparent, interpretable, and trustworthy for users, enabling them to understand the model's reasoning and gain insights into its behavior.

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