Practice Decision Trees And Random Forest (32.7.2) - , AI-Driven Decision-Making in Civil Engineering Projects

Practice: Decision Trees and Random Forest

Lesson 32.7.232, AI-Driven Decision-Making in Civil Engineering Projects

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10 questions

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6 sample questions

Question 1.
What does a Decision Tree do in predicting construction delays?
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Think about how choices can lead to different outcomes.
Question 2.
What is one advantage of using Random Forests?
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How might teamwork improve results?
3Question 3.
What is a Decision Tree used for?
- To visualize construction materials
- To predict outcomes based on data
- To calculate project budgets
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Consider the function of offering choices based on various criteria.
4Question 4.
True or False: A Random Forest uses a single tree for predictions.
- True
- False
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Recall how forests consist of more than one tree.
Question 5.
Design a sample Decision Tree to predict construction delays based on hypothetical factors: 'Budget Limit', 'Weather Forecast', and 'Worker Availability'.
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Think about how each factor might influence each other.
Question 6.
Explain how you would utilize both Decision Trees and Random Forests in a real-world scenario within civil engineering, considering their respective strengths.
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Recall the benefits of simplifying decisions first, then combining insights for greater accuracy.

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