compute the root-mean-square error

资 源 简 介

compute the root-mean-square error

详 情 说 明

One of the most commonly used measures to evaluate the accuracy of a prediction model or machine learning algorithm is the root-mean-square error (RMSE). RMSE is a statistical measure that calculates the average difference between the predicted values and the actual values of the dependent variable. It is also known as the quadratic mean deviation from the regression line or simply the square root of the variance. By computing the RMSE, we can determine how well the model is performing and make necessary improvements if needed to achieve the desired accuracy.