[Retracted] Optimization of Printing and Dyeing Energy Consumption Based on Multimedia Machine Learning Algorithm

Table 3

Evaluation index of the regression model.

Algorithm evaluation index	Calculation formula	Description
Mean square error		The mean of the sum of squares of the difference between actual data and predicted data; this value is used to measure the “average error” of the forecast data.
Mean absolute error		The mean value of the sum of the absolute values of the difference between actual data and predicted data; the main advantage of this evaluation index is that it can overcome absolute and relative errors, the situation where positive and negative cancel each other out.
Average relative error		The difference between the actual data and the predicted data, and the mean value of the ratio of the absolute value of the actual data, the evaluation index is mainly used to reflect the mean value of the percentage of the absolute error to the true value.