How does 'prior' and 'cost' parameters influence esembling learning ?
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I am interested in how 'prior' and 'cost' are implemented in esembling learning algorithm of MATLAB. More specifically, how they are implemented in 'AdaboostM1' and 'Bag'.
- How does they influence the training process at ensemble level ?
- How does they influence the training process at weaker learner level ?