Influenza surveillance with Baidu index and attention-based long short-term memory model
Fig 5
Correlation of the predicted values of the attention-based LSTM model and the actual values.
The data presented in this figure are all time series data in the same time interval, which is, the time interval we used for model testing from 49th week of 2020 (November 30th to December 6th) to the 52th week of 2021. The abscissa of this scatter plot in the main figure is the actual ILI values and the ordinate of this chart is the predicted values of our proposed ATLSTM model. The regression line of those scatter points is also given in the main figure, where the shadow around the line represents the confidence interval. The two auxiliary figures on the top and on the right are the distribution plots of actual values and predicted values respectively. As a supplement to the known results that R-square of our proposed ATLSTM model is 0.752, in this line figure, we can also find a high degree of correlation between predicted values and actual values, which show the ATLSTM model can return a good prediction.