How to give importance to recent data in a large dataset I am solving a binary classification problem which is also partly a time-series problem. This means that the recent data is more relevant than the old data. But how can I assign more importance to the recent data as compared to the old one?
Time-series methods like LSTM, Kalman filters and Markov models handle this automatically. So, assigning more importance to more recent data is in their structure.