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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the input needed to predict a person's salary if they have 4 years of experience?
💡 Hint: Think of the years of experience.
Question 2
Easy
Can predictions be made without a trained model?
💡 Hint: Recall the role of training in supervised learning.
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 do you input into the model for making a salary prediction?
- Years of Experience
- Salary
- Employee ID
💡 Hint: Consider what variable affects salary directly.
Question 2
The output of the model is known as...?
- True
- False
💡 Hint: Think about the terminology used in predictions.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Suppose a model trained to predict salaries based on years of experience outputs a salary of $90,000 for 10 years of experience. If real-world data shows the average salary is $75,000, discuss two potential reasons for this discrepancy.
💡 Hint: Consider both model limitations and real-world variables.
Question 2
You developed a model that predicts salaries unusually high compared to known metrics. Suggest a method for validating your predictions and improving accuracy.
💡 Hint: Think about steps you can take to assess model robustness.
Challenge and get performance evaluation