Precision and recall explained for 5-year old

In algorithms of binary classification I usually meet the terms “precision” and “recall.” I had a really hard time understanding their meaning on a basic level. In other words, how would I explain them to a five year-old? I finally found these definitions:

  1. Precision is how often our algorithm predicts class one and turns out to be right.
  2. Recall is how many objects of class one the algorithm has found at all.

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