In a binary classification problem, what does a high precision indicate?

Practice Questions

1 question
Q1
In a binary classification problem, what does a high precision indicate?
  1. High true positive rate
  2. Low false positive rate
  3. High true negative rate
  4. Low false negative rate

Questions & Step-by-step Solutions

1 item
Q
Q: In a binary classification problem, what does a high precision indicate?
Solution: High precision indicates that when the model predicts a positive class, it is correct most of the time, meaning low false positives.
Steps: 4

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