Practice Predictive Modelling (7.3.B) - Modelling - CBSE 10 AI (Artificial Intelleigence)

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9 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is predictive modelling?
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Think about how predictions are made.
Question 2.
Name an algorithm used in predictive modelling.
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Remember, algorithms process data!
3Question 3.
What is the primary purpose of predictive modelling?
- To understand historical data
- To predict future outcomes
- To automate processes
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Focus on the word 'predictive'.
4Question 4.
True or False: Algorithms are not important in predictive modelling.
- True
- False
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Remember the relationship between algorithms and models.
Question 5.
Design a simple predictive modelling framework for predicting sales figures in a retail store. Identify the data, algorithm, and how you would train and test your model.
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Consider what kinds of data you would need for an accurate prediction.
Question 6.
Discuss the limitations of predictive modelling and how they can affect outcomes. Provide examples from your understanding.
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Think about what happens when data is flawed or the wrong algorithm is used.

5 more questions in this section. Enroll free to practise them all.