6.7 - Making Predictions
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Practice Questions
Test your understanding with targeted questions
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.
Can predictions be made without a trained model?
💡 Hint: Recall the role of training in supervised learning.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What do you input into the model for making a salary prediction?
💡 Hint: Consider what variable affects salary directly.
The output of the model is known as...?
💡 Hint: Think about the terminology used in predictions.
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Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
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