Practice Decision Trees and Random Forest - 32.7.2 | 32, AI-Driven Decision-Making in Civil Engineering Projects | Robotics and Automation - Vol 3
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Decision Trees and Random Forest

32.7.2 - Decision Trees and Random Forest

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does a Decision Tree do in predicting construction delays?

💡 Hint: Think about how choices can lead to different outcomes.

Question 2 Easy

What is one advantage of using Random Forests?

💡 Hint: How might teamwork improve results?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a Decision Tree used for?

To visualize construction materials
To predict outcomes based on data
To calculate project budgets

💡 Hint: Consider the function of offering choices based on various criteria.

Question 2

True or False: A Random Forest uses a single tree for predictions.

True
False

💡 Hint: Recall how forests consist of more than one tree.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a sample Decision Tree to predict construction delays based on hypothetical factors: 'Budget Limit', 'Weather Forecast', and 'Worker Availability'.

💡 Hint: Think about how each factor might influence each other.

Challenge 2 Hard

Explain how you would utilize both Decision Trees and Random Forests in a real-world scenario within civil engineering, considering their respective strengths.

💡 Hint: Recall the benefits of simplifying decisions first, then combining insights for greater accuracy.

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