Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
this way are more prone to overfitting, especially in regions with fewer data points, because noise is weighted more than it should be. Training the Decision Tree How do we tell if the variable and value that we’ve chosen is a good one? It helps to think of the decision tree as an “organizer”. If