If I train on data set A first and the result of the training is that the variance of the model parameters is small, then if I infer on a completely different data set, will the variance of the data after the reasoning be small as well?
If I train on data set A first and the result of the training is that the variance of the model parameters is small, then if I infer on a completely different data set, will the variance of the data after the reasoning be small as well?