In binary classification, if a model correctly predicts all positive instances and no negative instances as positive, its ________ will be 1.

  • Accuracy
  • F1 Score
  • Precision
  • Recall
When a model correctly predicts all positive instances and no negative instances as positive, it means it has perfect "precision." Precision measures how many of the predicted positive instances were correct.
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