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in Artificial Intelligence (AI) by (120 points)
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Explain more about the differences between the two cost functions below?

MSE and RMSE

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Mean Squared Error represents the average of the squared difference between the original and predicted values in the data set. It measures the variance of the residuals.

Mean Squared Error represents

Root Mean Squared Error is the square root of Mean Squared error. It measures the standard deviation of residuals.

Root Mean Squared Error

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