Research on Consumption Prediction of Daily Necessities Based on Combination Model and Its Influence on Upgrading of Industrial Structure

Table 3

Algorithm generation process in initial situation.

Iterations	Training information	Checkpoint
[0]	Train-RMPSE:0.9999	Eval-RMPSE:0.9999
[1]	Train-RMPSE:0.9994	Eval-RMPSE:0.9923
[2]	Train-RMPSE:0.9987	Eval-RMPSE:0.9733
[3]	Train-RMPSE:0.9965	Eval-RMPSE:0.9538
……	……	……
[150]	Train-RMPSE:0.0642	Eval-RMPSE:0.0956
[151]	Train-RMPSE:0.0640	Eval-RMPSE:0.0949
[152]	Train-RMPSE:0.0632	Eval-RMPSE:0.0948
[153]	Train-RMPSE:0.0638	Eval-RMPSE:0.0928
……	……	……
[399]	Train-RMPSE:0.0392	Eval-RMPSE:0.0919