hi all, i need your opinions about cross validation in general do we get a good benefit from that in time series, any advice we be helpful for me?

1. You know that cross validation for timeseries is slightly different right? Like this 2. Yes it benefits as much as normal machine learning. It gives you a clue how robust the model is to different folds

you mean by slightliy is the sampling for data flod shloud be next to each other right?

Yeah and test set in the future