Practice Making Predictions - 6.7 | Chapter 6: Supervised Learning – Linear Regression | Machine Learning Basics
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Making Predictions

6.7 - Making Predictions

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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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