False positive and false negative explained
A fun way to understand false positives and false negatives:
  • False Positive: This occurs when a model incorrectly predicts something as true when it is not. (Type I error, like predicting a man is pregnant.)
  • False Negative: This happens when the model fails to detect something that is actually true. (Type II error, like telling a pregnant woman she is not pregnant.)
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Ana Crosatto Thomsen
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False positive and false negative explained
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