Decision trees

As the name suggests, decision trees in ML build a tree-like structure with decision conditions on each branch. Conditions define the flow of the decision-making process. We can also think of decision trees as being similar to flow charts.

Decision trees are supervised ML algorithms. This implies that this algorithm learns from labeled data. It can be used for classification as well as regression.

Implementing decision trees

Let's look at a simple example to understand and explore this concept. We have the following observations:

Age in Years	Height in Inches	Weight in Pounds	Gender	Shoe Size
25	180	200	M	12
35	165	190	F	9
20	175	195	M	11
70	170	200...