I have a classification problem but different than usual. I have to provide 3 outputs (each of them either 0 or 1) for every input of 3 timesteps and 10 features. What model architecture or approach is used in this type of problem?
- Do I predict for each time step by separating the observations?
- Do I predict for each time step and for next time step also use the previous time step?
- Do I set output units to be 3 and train model to predict three values for 3 timesteps?