Question: A lesson on supervised learning introduces several representative algorithms. In your essay, name the three algorithms listed and explain how the lesson groups them.

Sample answer: The lesson presents decision trees, support vector machines, and neural networks as examples of supervised learning. They are grouped together because each method learns from labeled examples and can be used to predict an output from input features. The point of the list is to show that supervised learning includes multiple kinds of models, not just one specific technique.

Key points:

• Identify decision trees as an example of supervised learning.
• Identify support vector machines as an example of supervised learning.
• Identify neural networks as an example of supervised learning.
• Explain that the lesson groups these methods together as representative supervised learning algorithms.

Rubric: The essay must identify decision trees, support vector machines, and neural networks, and state that the lesson presents them as examples of supervised learning algorithms.