1) the mean square error : estimates reflect a measure of the estimated degree of difference between the amount.
2) the RMSE Root Mean Square Error : the square root of the square of the observed value and the deviation of the true value and the ratio m the number of observations used to measure the deviation between the observed values with the true value.
. 3) the SSE and squared error
. 4) MAE : direct calculation of the mean absolute error between the model output and the actual value
. 5) MAPE : account not only prediction error values and the real values, also considered the ratio between the error and the true value.
6) The mean square error percentage
7) The coefficient of determination
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