32.2.1. Supervised Learning for Predictive Decisions

Try these first

1. 1.

   Define supervised learning.

   Hint

   Think about how teaching helps students learn.

2. 2.

   What do regression models do?

   Hint

   What would you use to predict next year's expenses?

3. 3.

   What is supervised learning?

   • A method using unlabeled data
   • A method using labeled data
   • A method for clustering

   Hint

   Think about how teachers show students what to expect.

4. 4.

   True or False: Regression models are used to classify data.

   • True
   • False

   Hint

   Consider the definition of regression vs classification.

5. 5.

   Develop a plan for implementing regression analysis in a new bridge project. Detail the data you would need and the predictions you hope to make.

   Hint

   Consider historical data sources and user inputs.

6. 6.

   Critique a sample classification model’s effectiveness in predicting risks. Use real-world examples to support your evaluation.

   Hint

   Compare different scenarios where classification was used successfully or failed.