A Multiple Kernel Learning Approach for Air Quality Prediction

Table 9

Performance comparison for predicting the future 6 hour’s AQHI in HK.

	Accuracy	mse	wr	wf	wp
ARIMA	0.471	1.208	0.471	0.472	0.474
RF	0.785	0.27	0.785	0.781	0.783
MLP	0.942	0.086	0.942	0.939	0.938
SVC_linear	0.965	0.038	0.965	0.965	0.966
SVC_rbf	0.937	0.066	0.937	0.937	0.937
SVC_poly	0.959	0.043	0.959	0.960	0.960
SVC_sigmoid	0.267	4.992	0.267	0.113	0.071
LSTM	0.732	0.300	0.732	0.733	0.749
MKSVC	0.976	0.028	0.976	0.976	0.976