4 - Evaluating Classification Models
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Practice Questions
Test your understanding with targeted questions
What does True Positive mean in a confusion matrix?
💡 Hint: Think about what 'true' indicates in terms of predictions.
Define Accuracy in terms of classification performance.
💡 Hint: It's a simple formula involving TP and TN.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does a True Positive indicate in the context of a confusion matrix?
💡 Hint: Focus on what 'True' and 'Positive' mean in this context.
True or False: F1-Score is calculated as the average of Precision and Recall.
💡 Hint: Recall the specific formula for F1-Score.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You have a confusion matrix showing TP=90, FP=30, TN=50, and FN=10. Discuss the implications of these values on model performance and calculate the Precision, Recall, and F1-Score.
💡 Hint: Apply formulas directly and consider real-world consequences.
Consider a scenario where the confusion matrix reveals a high accuracy but low recall. What might this indicate about the model, and how could it be adjusted?
💡 Hint: Backtrack through your definitions of precision and recall to connect them.
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