explainability vs accuracy trade-offs
"Explainability vs accuracy trade-offs" refers to the balance between the ability to understand and interpret the decision-making process of a model (explanability) and the model's ability to accurately predict or classify outcomes (accuracy). This trade-off implies that as one tries to improve the explainability of a model, the accuracy may decrease, or vice versa.
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