LSTM (Long Short-Term Memory) is a type of recurrent neural network (RNN) architecture that is widely used for sequential data analysis, such as time series forecasting or natural language processing. One common evaluation metric used to measure the performance of LSTM RMSE (Root Mean Squared Error).