LSTM are useful for making predictions, classification and processing sequential data . We use many kinds of LSTM for different purposes or for different specific types of time series forecasting.
Read moreHow LSTM is better than ARIMA?
We see that ARIMA yields the best performance, i.e. it achieves the smallest mean square error and mean absolute error on the test set . In contrast, the LSTM neural network performs the worst of the three models. The exact predictions plotted against the true values can be seen in the following images.4 Oca 2022
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