Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
all models are weighted equally. In the case of regression, the output of the ensemble model will be the raw weighted sum. However, in the case of classification, the output will be based heavily on what the output should be. For example, if the output is “yes” or “no”, then we could arbitrarily