Practice Importance of Model Evaluation - 12.1 | 12. Model Evaluation and Validation | Data Science Advance
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Importance of Model Evaluation

12.1 - Importance of Model Evaluation

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of evaluating a model?

💡 Hint: Think about how models are used in real-world applications.

Question 2 Easy

Define overfitting in your own words.

💡 Hint: Relate it to learning too much detail.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does model evaluation primarily aim to achieve?

Improve model speed
Estimate generalization performance
Reduce data size

💡 Hint: Consider the key purpose identified in class.

Question 2

True or False: A model can be deemed successful even if it doesn't meet business KPIs.

True
False

💡 Hint: Think about the goals of using the model.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a model that performs perfectly on training data but poorly on test data, how would you adjust your strategy to prevent overfitting?

💡 Hint: Think about what factors could influence performance.

Challenge 2 Hard

Analyze a situation where a model achieves high accuracy but still doesn't meet business goals. What might be the root causes?

💡 Hint: Reflect on the difference between technical validity and real-world applicability.

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