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

Table 2

Evaluation index of the classification model.

Algorithm evaluation index	Calculation formula	Description
Accuracy		Measure the proportion of accurate classification of all samples
Accuracy		Also called precision rate, it measures the classification accuracy of positive samples, that is to say, the number of samples that are predicted to be positive samples, how many are really positive samples
Recall rate		Indicates the proportion of positive samples correctly classified to the total positive samples
F1-score		Harmonic average of precision rate and recall rate