What is a Decision Tree?

In this ninth class of the Artificial Intelligence course, the instructor reviews previous lessons on machine-learning models and introduces decision trees. Decision trees are explained as tree-like structures that help make decisions through a series of questions. An example is provided to predict whether a car has a low or high range based on its weight and number of cylinders. The decision tree process is detailed, showing how different conditions lead to different outcomes.

What is one of the main topics introduced in the ninth class of the AI course?

• Support Vector Machines

• Decision Trees

• Genetic Algorithms

• Neural Networks

How do decision trees assist in decision-making?

• By using a neural network

• Through a series of random guesses

• By asking a series of questions

• By applying genetic algorithms

In the decision tree example, what is the first question asked to determine a car's range?

• Is the car's brand luxury?

• Does the car have a sunroof?

• Is the car's weight heavy?

• Is the car's color red?

What determines a car's range if it is lightweight?

• The car's color

• The number of doors

• The type of fuel

• The number of cylinders

According to the decision tree, what is the range of a heavy car with eight cylinders?

• Variable range

• High range

• Low range

• Medium range