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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define supervised learning.
💡 Hint: Think about what supervised implies.
Question 2
Easy
What does overfitting mean?
💡 Hint: Consider how it performs on new data.
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 is supervised learning?
- Learning from unlabeled data
- Learning from labeled data
- Learning through reinforcement
💡 Hint: Focus on the meaning of 'supervised'.
Question 2
True or False: Overfitting refers to a model ignoring the training data.
- True
- False
💡 Hint: Remember what overfitting entails.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are developing a model for predicting house prices. You notice that your model is overfitting the training data. Suggest a method to mitigate this.
💡 Hint: Think about the relationship between training data and unseen data.
Question 2
In a classification problem, you have an imbalanced dataset. How might this affect the precision and recall of your model?
💡 Hint: Consider how the model's focus might shift in the presence of bias in the datasets.
Challenge and get performance evaluation