Gaussian process regression, decision tree regression, and neural network regression. Each technique has pros and cons. This article explains how to implement decision tree regression from scratch, ...

Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: Regression trees predict a continuous variable using steps ...

What are the advantages of logistic regression over decision trees? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better ...

Unlike regression models that yield parameter estimates, the decision tree results, once tabulated and depicted, are simple to interpret and use. It is noteworthy that empirically derived CART ...