"Model biases" refers to the inherent tendencies or flaws in a model or system that affect its results or predictions. It means that the model is inclined to be inaccurate or favor certain outcomes due to its limitations or inherent assumptions. It signifies the presence of errors or predispositions that can influence the reliability and trustworthiness of the model's outputs.
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