Data Scientist Question:
Do you know the steps in making a decision tree?
Answer:
☛ 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.
☛ 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.
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