My ANN’s predicts numerical values as output. The output layer is of length 4 (since it predicts 4 values from data). My input is X and Y, each with a length of 1000.
To put an uncertainty on each of my predicted values from my ANN, I want to apply jackknife. That is to evaluating my model several times and deleting one random datapoint in each evaluation. Thus, I would need to change my input layers (X and Y) to a length of 999.
Is it possible to do this? If not, why not?