Mean Squared Error (MSE)

Mean Squared Error (MSE) is a popular metric used for assessing the accuracy of predictive models. It determines the average squared difference between the expected and actual values. A lower MSE indicates that the model's predictions are closer to the true values, implying higher prediction accuracy.

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