Explain The Steps In Making A Decision Tree.?

Data Science, AI and ML
#1
  1. Take the entire data set as input
  2. Look for a split that maximizes the separation of the classes. A split is any test that divides the data in two sets
  3. Apply the split to the input data (divide step)
  4. Re-apply steps 1 to 2 to the divided data
  5. Stop when you meet some stopping criteria
  6. This step is called pruning. Clean up the tree when you went too far doing splits.