7.8 - Evaluate the Model
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Practice Questions
Test your understanding with targeted questions
Define the accuracy score.
💡 Hint: Think about what percentage correctly predicted out of all predictions.
What does a true positive indicate?
💡 Hint: Consider the scenario where the model is trying to identify positives.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does the accuracy score represent?
💡 Hint: What do you think accuracy is usually based on when evaluating a model?
True or False: A high accuracy always means the model performs well regardless of metrics.
💡 Hint: Think about how accuracy might mislead if one class is predominant.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Given the following confusion matrix results:
TP: 100 TN: 200
FP: 20 FN: 10
Calculate the accuracy, precision (TP/(TP+FP)), and recall (TP/(TP+FN)). Discuss what these metrics indicate about the model.
💡 Hint: Calculate step by step using each formula for clarity.
How would you adjust a model if you notice a high FP rate in the confusion matrix? Propose potential strategies.
💡 Hint: Think broadly about data handling practices in machine learning.
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