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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does accuracy measure in a machine learning model?
💡 Hint: Think about how you assess overall performance.
Question 2
Easy
What is one purpose of data preprocessing?
💡 Hint: Consider the steps we took before building our model.
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 method is used to convert categorical data to numerical data?
- Label Encoding
- One-Hot Encoding
- Ordinal Encoding
💡 Hint: Consider how we processed the preparation_course feature.
Question 2
True or False: Precision is the measure of total correct predictions.
- True
- False
💡 Hint: Focus on the definitions of precision and accuracy.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Imagine our model predicted that 80 out of 100 students passed. If 60 actually passed, calculate precision and recall.
💡 Hint: Use the formulas for precision and recall.
Question 2
Explain why balancing precision and recall is important in educational assessments.
💡 Hint: Consider the impacts of false positives and false negatives in student assessments.
Challenge and get performance evaluation