Decision tree

Question 1

What is a Decision Tree in machine learning?

Answer 1

A decision tree is a flowchart like model to use for decision making and prediction

Question 2

What is a feature in decision tree?

Answer 2

A feature is an individual measurable property or characteristic of the data used to split the dataset at each decision node

Question 3

What is a “Threshold” or “split value” in decision tree

Answer 3

It the value used to divide data at a node, deciding how to separate data into difference branches

Question 4

What is the purpose of selection the best feature when building a decision tree

Answer 4

To maximise information and to reduce costs making the tree more accurate and efficient in data

Question 5

Give an example of how a decision tree might be used

Answer 5

In a loan, a decision tree might check the customer credit score and income to decide wheater to approve the loan.