example if you are using neural network when you are using a lot of features try a very small feature fraction so this is one of the parameters of the gradient boosting decision tree this is the number of filters that will be used for each decision tree so most of the time we are using something like 80% or 90% but if you are using a lot of features you should use something or pill or rather try something like 10% or even 5% of the filters so your trees will be really very low correlated they will be almost independent from each other