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I'm doing a regression task using Deep Learning Tool Box, and the Training Progress showing two classes of curves namely RMSE and Loss.

What is the difference between? I cann't find detailed description In the Help document.

Deepak Kumar
on 17 Oct 2019

Root Mean Square Error (RMSE) is the standard deviation of the residuals (prediction errors). Residuals are a measure of how far from the regression line data points are; RMSE is a measure of how spread out these residuals are. In other words, it tells you how concentrated the data is around the line of best fit.

A loss function is a measure of how good a prediction model does in terms of being able to predict the expected outcome.

To know more about RMSE and Loss refer to following links:

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