Predicting the Number of Reported Pulmonary Tuberculosis in Guiyang, China, Based on Time Series Analysis Techniques

Table 9

The fitting and prediction of LSTM and multivariable LSTM models.

Models	Training set			Test set
	MAPE (%)	RMSE	MAE	MAPE (%)	RMSE	MAE
LSTM	13.191	44.516	36.250	18.124	44.585	39.176
Multivariable LSTM+RH (lag 6) + AAP (lag 7)	10.105	34.615	28.961	12.758	35.167	28.562