How to find an optimal value of the hyperparameter “ n_tree”?

Data Science, AI and ML
#1

To find an optimal value of n_tree, we first fix the value of mtry to the default value (sqrt of the total number of all predictors) and search for the optimal n_tree value.

To find the value of n_tree (number of trees) that corresponds to a stable classifier, we train random forest models with different values of n_tree such as (100, 200, 300….,1,000).

As a result, we have 10 Random Forest classifiers in our hand for each value of n_tree, record the OOB error rate and see that value of n_tree where the out-of-bag error rate stabilizes and reaches its minimum value.