Concept: After training a model, it is essential azure video
dp-100-data-scientist-assoc video for concept: After training a model, it is essential to evaluate its performance using various metrics and methodologies to
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Concept: After training a model, it is essential to evaluate its performance using various metrics and methodologies to assess how accurately it makes predictions. Question: Which evaluation technique is best described by the following characteristics? Calculates the square root of the mean squared difference between predicted and true values. The resulting metric is expressed in the same unit as the label. When compared to Mean Absolute Error (MAE), a larger difference indicates greater variance in individual errors (some errors being very small, while others are large).