Practice - Model Evaluation and Testing
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Practice Questions
Test your understanding with targeted questions
What does a confusion matrix display?
💡 Hint: Think about the terms related to classification accuracy.
Why is cross-validation important when training a model?
💡 Hint: Consider what might happen if we only trained on one dataset.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does a confusion matrix help to assess?
💡 Hint: Consider what it breaks down in terms of actual and predicted values.
True or False: Cross-validation improves the accuracy of the final model.
💡 Hint: Think about how many times the model trains.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Create a detailed confusion matrix for a model that predicts whether a patient has a disease based on symptoms, providing a hypothetical dataset's true and predicted values. Calculate and interpret accuracy, precision, and recall.
💡 Hint: Remember to establish the numbers based on logical assumptions concerning the dataset.
Design an experiment using cross-validation on a dataset of your choice, outlining how you would structure the dataset and the number of folds. Discuss potential biases and their impact.
💡 Hint: Consider how overfitting could mislead the outcomes if not addressed with proper folds.
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Reference links
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