The rows show “truth” the column show “test result:
- A- Cell A has true positive sample.
- B- Cell A has true negative sample.
- C- Cell A has false positive sample.
- D- Cell A has false negative sample.
The answer is (a- Cell A has true positive sample).
Here's a breakdown of the concepts involved:
- Truth:
This refers to the actual, real-world state of a condition or attribute. It's the ground truth that we're trying to determine through a test.
- Test Result:
This is the outcome of a test or assessment that's designed to identify the presence or absence of the condition or attribute.
- Cells in a Confusion Matrix:
A confusion matrix is a table that visualizes the performance of a classification test. It typically has four cells:
- Cell A: True Positives (TP).
- Cell B: False Negatives (FN).
- Cell C: False Positives (FP).
- Cell D: True Negatives (TN).
Relation to cell A:
Here's how these terms relate to Cell A:
- True Positive:
A true positive in Cell A means that the test result correctly identified a sample as having the condition or attribute when it actually does have it. Both the truth and the test result are "positive" in this case.
- True Negative:
A true negative would be in Cell D, where the test result correctly identifies a sample as not having the condition or attribute when it actually doesn't.
- False Positive:
A false positive would be in Cell C, where the test result incorrectly identifies a sample as having the condition or attribute when it actually doesn't.
- False Negative:
A false negative would be in Cell B, where the test result incorrectly identifies a sample as not having the condition or attribute when it actually does.
Therefore, in the context of a confusion matrix where rows represent truth and columns represent test results, Cell A specifically holds the true positive samples.
Labels
Promatric