Prediction of Tourism Demand in Liuzhou Region Based on Machine Learning

Table 1

Model error table.

Model	RMSE	MAPE	MAE	R
RF	195.01	14.720	174.48	−1.89
SVR	48.10	3.53	34.26	0.23
RNN	37.27	4.68	18.18	0.99
LSTM	38.98	7.38	17.81	0.71
CNN-LSTM	24.28	0.33	15.12	0.95
SPCA-LSTM	24.58	7.53	12.81	0.96
SPCA-CNNLSTM	12.63	1.25	7.84	0.93