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Math and science::INF ML AI

Accuracy, precision, recall


[\[ \begin{aligned} \text{accuracy} &= \frac{?}{?} \\ \text{precision} &= \frac{?}{?} \\ \text{recall} &= \frac{?}{?} \\ \end{aligned} \] ]

Formulated in words

accuracy = [\( \frac{ \text{something} }{ \text{something} } \) ]

precision = [...]

recall = [...]

Pathalogical and benign examples

Are false positives dangerous? Are false negatives dangerous? Poor precision affords many false positives. Poor recall affords many false negatives. If the true/false meaning of any test is reversed, false positives become false negatives and vice versa.

  • Poor precision is pathalogical: COVID19 testing where positive represents [having/being free of the virus?].
  • Poor precision is benign: COVID19 testing, where a positive represents [having/being free of the virus?].
  • Poor recall is pathalogical: COVID19 testing, where a positive represents [having/being free of the virus?].
  • Poor recall is benign: COVID19 testing where positive represents [having/being free of the virus?].