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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32.7.2 - Decision Trees and Random Forest

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

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?

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

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.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation