Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm

Table 6

Comparison of parameter adjustment methods.

Method	Average accuracy (%)	Optimal accuracy (%)	AUC	Running time (s)	Parameter list
Grid search	85.3	85.8	0.862	3056	[2.23, 0.05, 3.3, 1, 1.3]
Random walk	85.5	86.2	0.866	1827	[1.78, 0.007, 6.53, 1, 1.56]
GA-SVM	86.5	86.7	0.870	1235	[2.19, 0.002, 7.23, 1, 1.91]
QGA-SVM	86.7	87.0	0.870	1302	[1.97, 0.005, 8.84, 1, 1.51]
ICMPACO-SVM	86.8	87.1	0.880	2389	[1.823, 0.0008, 8.5, 1, 1.45]
IQGA-SVM	87.1	87.3	0.880	1364	[1.90, 0.001, 8.3, 1, 1.56]