Python for Machine Learning - The Complete Beginners Course - Decision Tree Structure

The video tutorial explains the structure of a decision tree for a given data set. It describes how nodes represent parameters and are connected to provide a yes or no answer. The tree is explained up to the second depth, with the first layer representing a single node for companies. The second layer branches into nodes for different companies like Google, Facebook, and ABC Pharma. The decision tree indicates that Facebook employees earn over $100,000, regardless of their degree or position.

What is the primary purpose of nodes in a decision tree?

• To store data values

• To represent parameters

• To connect to databases

• To execute code

How is the first layer of the decision tree structured?

• Based on employee age

• Based on company

• Based on job position

• Based on salary

Which companies are mentioned in the second layer of the decision tree?

• Google, Facebook, ABC Pharma

• Amazon, Microsoft, IBM

• Tesla, SpaceX, Apple

• Netflix, Hulu, Disney

What is the decision rule for employees working at Facebook according to the decision tree?

• They have a salary lower than $100,000

• Their salary depends on their degree

• They have a salary equal to $100,000

• They have a salary higher than $100,000

What does the second depth of the decision tree indicate?

• There are four layers of nodes

• There is only one layer of nodes

• There are two layers of nodes

• There are three layers of nodes