Pruning Decision Trees involves a set of techniques that can be used to simplify a Decision Tree, and enable it to generalise better.

Can Decision Trees Handle Categorical Features? Yes, Decision Trees handle categorical features naturally. Often these features are treated by first one-hot-encoding (OHE) …

Can Decision Trees Handle Missing Values? Yes, Decision Trees handle missing values naturally. It is straightforward to extend the CART algorithm to support …

Median Absolute Error What is the Median Absolute Error? The Median Absolute Error is a metric that can be used to quantify …

Are Decision Trees Robust to Outliers? In general, Decision Trees are quite robust to the presence of outliers in the data. This …

How to Interpret Decision Trees with 1 Simple Example We can interpret Decision Trees as a sequence of simple questions for our …