The Data Science Lab. Multi-Class Classification Using a scikit Decision Tree. Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the ...

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 ...

Assign a numerical value to each possible outcome on the tree. Use dollar amounts for outcomes. For example, if one outcome would gain the company $100,000, mark "$100,000" next to it.

What are the advantages of logistic regression over decision trees? ... In technical terms, if the AUC of the best model is below 0.8, logistic very clearly outperformed tree induction.