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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the model.predict() function do?
💡 Hint: Think about how predictions are generated.
Question 2
Easy
What are the two possible outputs of the logistic regression prediction?
💡 Hint: Recall what logistic regression is used for.
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 make predictions in logistic regression?
- fit()
- predict()
- train()
💡 Hint: Consider the function that determines forecast results.
Question 2
True or False: A confusion matrix shows the number of correct and incorrect predictions.
- True
- False
💡 Hint: Think about what confusion matrices highlight.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given three students who studied 2, 4, and 6 hours respectively, write the code to predict their pass outcomes using a logistic regression model.
💡 Hint: Focus on how you format new data for prediction.
Question 2
Evaluate the performance of a logistic regression model using the confusion matrix when actual results are [0, 1, 1, 0] and predicted values are [0, 1, 0, 0]. What do you find?
💡 Hint: Recap the definitions of TP, TN, FP, FN and calculate!
Challenge and get performance evaluation