29.2.2 - True Negative (TN)
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Practice Questions
Test your understanding with targeted questions
What does True Negative (TN) refer to in machine learning?
💡 Hint: Think about what it means to be 'correct' in 'predicted NO'.
Provide an example of a True Negative?
💡 Hint: Consider a context where you check for a specific condition.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does True Negative (TN) indicate in model evaluation?
💡 Hint: Remember the definition factors in actual outcomes.
In a confusion matrix, where do we find True Negatives?
💡 Hint: Visualize the layout of the confusion matrix you're familiar with.
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Challenge Problems
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Suppose a model is used for diagnosing a disease with the following confusion matrix: TP = 50, TN = 30, FP = 5, FN = 15. Determine the model's accuracy and explain its implications.
💡 Hint: Use the accuracy formula and remember what the elements represent.
Discuss a scenario where a low TN could lead to negative consequences in healthcare, detailing potential outcomes.
💡 Hint: Think about the consequences of incorrect medical diagnoses.
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