Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

Because the tree-building algorithm computes the overall statistical ... method displays the logic that's used when computing the prediction. Interpretability is the biggest advantage of using ...

The following is a summary of “A novel predictive method for URS and laser lithotripsy using machine learning and explainable ...

As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap ...

Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict ... algorithm and the CART decision ...