☛ Take the entire data set as input.

☛ Look for a split that maximizes the separation of the classes. A split is any test that divides the data into two sets.

☛ Apply the split to the input data (divide step).

☛ Re-apply steps 1 to 2 to the divided data.

☛ Stop when you meet some stopping criteria.

☛ This step is called pruning. Clean up the tree if you went too far doing splits.