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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What method do we use to generate predictions from our Logistic Regression model?
💡 Hint: Think about functions associated with model output.
Question 2
Easy
In the context of our dataset, what does a prediction of '1' represent?
💡 Hint: Consider how we labeled the outcomes.
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 does y_pred contain after making predictions?
- The training data
- Predictions of pass or fail
- Feature variables
💡 Hint: Remember what we discussed about output variables.
Question 2
Is Logistic Regression used for predicting multiple outcomes?
- True
- False
💡 Hint: Consider the nature of our dataset's target variable.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a new dataset of students with additional features like past grades and family background, how could you enhance predictions made by your model?
💡 Hint: Think about how more data might change results.
Question 2
Discuss the potential ethical implications of using predictive models in education. What steps would you take to ensure fairness?
💡 Hint: Consider fairness and inclusivity in model training.
Challenge and get performance evaluation