A Novel Carbon Price Fluctuation Trend Prediction Method Based on Complex Network and Classification Algorithm

Table 4

The average prediction accuracy of China’s pilot carbon market.

	BJ	GD	CQ	SH	TJ	SZ	HB
LDA	0.8296	0.7413	0.9070	0.8286	0.9078	0.9030	0.6624
CN-LDA	0.8288	0.7365	0.9043	0.8280	0.9075	0.9087	0.6586
KNN	0.7995	0.6877	0.8985	0.7950	0.8971	0.8925	0.6190
CN-KNN	0.7873	0.6713	0.9051	0.7933	0.8901	0.8956	0.6082
NB	0.8041	0.7016	0.8445	0.8045	0.3689	0.8519	0.6415
CN-NB	0.8060	0.6972	0.8433	0.7981	0.6782	0.8480	0.6410
RF	0.8268	0.7270	0.9083	0.8271	0.9055	0.9003	0.6594
CN-RF	0.8257	0.7275	0.9112	0.8275	0.9062	0.9002	0.6570
SVM	0.8301	0.7419	0.9072	0.8305	0.9092	0.9026	0.6915
CN-SVM	0.8300	0.7463	0.9074	0.8305	0.9121	0.9025	0.6914