D—— T——- are easy to understand, and they are the basic building block for some of the best models in data science.
Decision Trees
This step of capturing patterns from data is called f——– or t——- the model
fitting
training
You can capture more factors using a tree that has more s—-
splits
The point at the bottom of a decision tree where we make a prediction is called a l—
leaf