I have daily water level data of 1990 to 2010 with precipitation,solar,temperature humidity and wind data.I want to apply random forest method in this time series data for estimating water level.But my model can not predict well.i just convert my data in ts then apply random forest.Is this ok or what will be the best procedure for apply random forest in my data.