8 - Model Evaluation Metrics
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Practice Questions
Test your understanding with targeted questions
Define accuracy in your own words.
💡 Hint: Think about the formula for accuracy.
What does TP stand for in a confusion matrix?
💡 Hint: It's part of the metrics to assess positive predictions.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does the confusion matrix specifically display?
💡 Hint: It provides a detailed breakdown of model predictions.
True or False: AROC AUC score of 0.5 indicates a perfect model.
💡 Hint: Think about the meaning of AUC in terms of performance.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Given a dataset of 100 samples with the following results: TP=30, TN=50, FP=10, FN=10, calculate the accuracy, precision, recall, F1 score, and AUC.
💡 Hint: Use the formulas discussed!
In a scenario where you have a model that predicts a highly imbalanced dataset (95% negative class), suggest how you would evaluate the model effectively.
💡 Hint: Consider metrics that reflect both classes' performances.
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