Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
make values > 0.5 mean “yes” and values ≤ 0.5 mean “no”. If there are more classes, we could switch to using vectors to represent the different choices, such as <1, 0, 0> to mean class 0, <0, 1, 0> to mean 1, and <0, 0, 1> to mean 2. Then by taking the weighted sum of all the outputs we get a