In the context of a Confusion Matrix, _________ represents the cases where the model correctly predicted the negative class.

  • False Negatives
  • False Positives
  • True Negatives
  • True Positives
True Negatives (TN) in a Confusion Matrix represent cases where the model correctly predicted the negative class. It indicates that the negative instances were classified correctly.
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