Decision trees are useful modeling tools to help you make decisions. Decision trees offer a structure to organize options and help you understand the possible results of choosing specific options.

A decision tree can help you make tough choices between different paths and outcomes, but only if you evaluate the model correctly. Decision trees are graphic models of possible decisions and all ...

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 ...

Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split.

Because the decision tree model was trained using normalized and encoded data, the x-input must be normalized and encoded in the same way. Notice the double square brackets on the x-input. The predict ...