Forecast of E-Commerce Transactions Trend Using Integration of Enhanced Whale Optimization Algorithm and Support Vector Machine

Table 4

Statistics of E-commerce transactions.

Year	A1	A2	A3	A4	A5	A6	A7	T
2005	8.5	69.4	109	1.11	8.66	239.7	18.58	1.29
2006	10.5	84	180	1.37	10.6	299.7	21.76	1.54
2007	16	150	900	2.1	12.02	342.6	26.8	2.17
2008	22.6	287	1357	2.98	15.13	408.4	31.67	3.14
2009	28.9	323	1368	3.84	18.58	479	34.56	3.67
2010	34.3	191	435	4.57	23.39	574.6	40.89	4.55
2011	38.3	250	353	5.13	36.73	758	48.41	6.09
2012	42.1	255	751	5.64	56.85	1005.3	53.41	8.11
2013	45.8	320	1082	6.17	91.87	1441.7	58.8	10.4
2014	47.9	355	1129	6.48	139.59	2045.4	63.59	16.39
2015	50.3	425	1636	6.88	206.7	2760	68.9	21.79
2016	53.2	482	2061	7.51	313.5	4005	74.41	26.1
2017	55.8	533	2084	7.72	400.6	4957	82.07	29.16
2018	59.6	523	2124	8.29	507.1	6010	91.92	31.63
2019	61.2	518	2185	8.85	630	7450	99.08	34.81

Note: “T” represents E-commerce transaction volume (trillion yuan; 1 yuan0.15 USD).