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Editar Pregunta #376
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A data science team needs to choose an ML model for a use case that requires high explainability. The team wants to understand why the model makes specific predictions. Which ML model type has the MOST explainability?
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Linear regression offers the highest explainability among common ML models because its predictions are a simple weighted sum of input features. Each coefficient directly represents the relationship between a feature and the output, making it easy to understand and explain model decisions.
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