In a binary classification confusion matrix, what does the term "true positive" represent? Instances incorrectly predicted as positive Instances correctly predicted as positive Instances incorrectly predicted as negative Instances correctly predicted as negative
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This for a assignment V
In a binary classification confusion matrix, what does the term "true positive" represent?
|
Instances incorrectly predicted as positive |
|
Instances correctly predicted as positive |
|
Instances incorrectly predicted as negative |
|
Instances correctly predicted as negative |
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