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MSE stands for Mean Squared Error. It is a measure of the performance of an estimate or prediction, equal to the mean squared difference between the observed values and the estimated / predicted values.

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What is the relationship between mean squared error and classification error?

If I use MSE as my fitness function, over time MSE decreases and classification error decreases. Looking at my plots, it looks like MSE and CErr are directly related. … From this I can deduce a lower MSE means a lower CErr but a lower CErr doesn't always mean a lower MSE. …
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