Set the default value for boosting_steps_before_pruning_is_done to 500
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Set the default value for boosting_steps_before_pruning_is_done to 500. The reason is that empirical results so far indicate that this slightly improves predictions compared to not pruning. The drawback of pruning is somewhat increased model training time, especially when the number of terms gets large.