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

Practice Questions

Q1
In the context of a confusion matrix, what does the term 'True Positive' refer to?
  1. Correctly predicted positive cases
  2. Incorrectly predicted positive cases
  3. Correctly predicted negative cases
  4. Incorrectly predicted negative cases

Questions & Step-by-Step Solutions

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.
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