Describe how to create a decision tree.
- Use the complete collection of data as your input.
- Determine the entropy of the target variable and the characteristics of the predictors
- Do the math to determine your information gain for all qualities (we gain information on sorting different objects from each other)
- As the root node, pick the property with the greatest information gain.
- until each branch's decision node is reached, carry out the same steps on each branch.





