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In the context of a confusion matrix, what does the term 'True Positive' refer t
In the context of a confusion matrix, what does the term 'True Positive' refer to?
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In the context of a confusion matrix, what does the term 'True Positive' refer to?
Correctly predicted positive cases
Incorrectly predicted positive cases
Correctly predicted negative cases
Incorrectly predicted negative cases
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True Positive refers to the cases where the model correctly predicts the positive class.
Questions & Step-by-step Solutions
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Q: In the context of a confusion matrix, what does the term 'True Positive' refer to?
Solution:
True Positive refers to the cases where the model correctly predicts the positive class.
Steps: 5
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Step 1: Understand what a confusion matrix is. It is a table used to evaluate the performance of a classification model.
Step 2: Identify the four main outcomes in a confusion matrix: True Positive, True Negative, False Positive, and False Negative.
Step 3: Focus on the term 'True Positive'.
Step 4: Recognize that 'True Positive' refers to the instances where the model correctly predicts the positive class.
Step 5: For example, if the model predicts that a patient has a disease and the patient actually has the disease, that is a True Positive.
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