This is the best way to choose the number of trees to build on a Bagging ensemble.

Choose a number of trees past the point of diminishing returns

Prioratize training error metrics over out of bag sample

Tune number of trees as a hyperparameter that needs to be optimized

Choose a large number of trees, typically above $100$