5.8 - Model Evaluation Techniques
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Practice Questions
Test your understanding with targeted questions
What does k-fold cross-validation help us determine?
💡 Hint: Think about testing the model on different parts of the dataset.
Name one advantage of using a confusion matrix.
💡 Hint: Consider what details about classified outcomes it includes.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does k-fold cross-validation involve?
💡 Hint: Remember how the whole data is utilized.
True or False: Higher ROC-AUC values are indicative of poor model performance.
💡 Hint: Think about the definition of ROC-AUC.
3 more questions available
Challenge Problems
Push your limits with advanced challenges
Consider a scenario where you have a model that predicts heart disease based on several features. You've calculated an F1-score of 0.75. Given this value, what can you infer about your model's performance?
💡 Hint: Reflect on what F1-score balances between for classification tasks.
If your model has an R² value of 0.9, how would you interpret this in the context of a housing price prediction model?
💡 Hint: Think about how this reflects on the model’s explanatory power.
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