Understanding confusion matrices
Given the following confusion matrix for a binary classifier:
Actual positive | Actual negative | |
---|---|---|
Predicted positive | 30 | 10 |
Predicted negative | 20 | 50 |
Which of the following statements is correct?
This exercise is part of the course
End-to-End Machine Learning
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