Table 8.

Evaluation of the prediction accuracy for the TinyML model.

Packing Type	Temperature	Threshold
		Metrics	1	1.25	1.5	1.75	2
VSB	5	MAPE	89.39	96.6	97.87	98.3	98.3
		RMSE	0.39	0.39	0.39	0.39	0.39
	24	MAPE	96.65	96.65	99.44	100	100
		RMSE	0.23	0.23	0.23	0.23	0.23
MAP2	5	MAPE	85.8	97.73	100	100	100
		RMSE	0.39	0.39	0.39	0.39	0.39
	24	MAPE	97.13	100	100	100	100
		RMSE	0.15	0.15	0.15	0.15	0.15
MAP1	5	MAPE	83.65	90.38	96.15	96.15	96.15
		RMSE	0.61	0.61	0.61	0.61	0.61
	24	MAPE	76.4	88.2	92.18	94.16	96.12
		RMSE	0.68	0.68	0.68	0.68	0.68
Unsealed	5	MAPE	75.2	84.67	92.76	94.1	95.2
		RMSE	0.69	0.69	0.69	0.69	0.69
	24	MAPE	86.36	93.18	93.18	95.45	100
		RMSE	0.65	0.65	0.65	0.65	0.65