I have an issue with the ensemble trees algorithms.
I am woking in a time series forecasting problem. As these algos are dividing the training set randomly to create many trees it will train a tree based on future values is not consistant. Indeed, it performs very badly out of sample.
Do you have any idea how I could handle that ? Any parameter available ?
Thank you very much in advance and have a nice weekend.