Mean Squared Error

Mean Squared Error: A Key Statistical Measure
Mean Squared Error (MSE) is a fundamental criterion for evaluating the performance of an estimator. It represents the average of the squares of the errors or deviations.
Mean Squared Error (MSE): Measure of Prediction Accuracy
Mean Squared Error (MSE) represents the average squared difference between observed and predicted values, providing a measure of model accuracy.

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