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Jul 17th, 2018
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  1. True Positives (TP) = 1
  2. True Negatives (TN) = 998
  3. False Positives (FP) = 1
  4. False Negatives (FN) = 1
  5.  
  6. Accuracy = (TP + TN) / (TP + TN + FP = FN) = 999/1001 = 0.998
  7. Precision = TP / (TP + FP) = 1/2 = 0.5
  8. Recall = TP / (TP + FN) = 1/2 = 0.5
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