Machine Learning, Data Science.
gbtree: depth 10 should contain at most 55 features per tree: if you want to use them all and if they are all exactly equally good predictors, you would need at least 55 trees which is the most ideal scenario, in reality you’d need probably 1000x more iterations and to avoid the shrinkage of