 A larger value of formula_1 means that BrownBoost will treat the data as if it were less noisy and therefore will give up on fewer examples.Conversely, a smaller value of formula_1 means that BrownBoost will treat the data as more noisy and give up on more examples.During each iteration of the algorithm, a hypothesis is selected with some advantage over random guessing.