Why is Mean Squared Error (MSE) So Popular?
<p>As a recovering <a href="http://bit.ly/quaesita_statistics" rel="noopener ugc nofollow" target="_blank">statistician</a>, I’ll be the first to tell you that my people are a painfully literal-minded bunch. Where AI folk favor more <a href="http://bit.ly/mfml_096" rel="noopener ugc nofollow" target="_blank">sci-fi-flavored names</a>, stats folk love things to do exactly what it says on the tin… and nowhere is this attitude more in-your-face than popular <a href="https://bit.ly/quaesita_metricdesign" rel="noopener ugc nofollow" target="_blank">metrics</a> MSE and RMSE.</p>
<p>These names are — wait for it — literally the recipe for calculating them, backwards. Like summoning a very tame tiny demon.</p>
<p>How to calculate mean squared error (MSE):</p>
<p><a href="https://towardsdatascience.com/why-is-mean-squared-error-mse-so-popular-4320d5f003e5"><strong>Read More</strong></a></p>