In the context of a confusion matrix, what does the term 'True Positive' refer t

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Question: In the context of a confusion matrix, what does the term \'True Positive\' refer to?

Options:

Correct Answer: Correctly predicted positive cases

Solution:

True Positive refers to the cases where the model correctly predicts the positive class.

In the context of a confusion matrix, what does the term 'True Positive' refer to?

In the context of a confusion matrix, what does the term 'True Positive' refer to?

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.

True Positive – True Positive refers to instances where the model correctly identifies a positive case, meaning the actual class is positive and the model also predicts it as positive.