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3 points by roycoding 3321 days ago | link | parent

Our process may generate too many true negatives — i.e. candidates who are well suited to data science (true) but who do not receive an offer (negative).

Isn't that a false negative? :)



2 points by jeremystan 3320 days ago | link

Good catch (and an embarrassing slip-up). First Round was kind enough to fix it.

-Jeremy

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2 points by elyase 3321 days ago | link

I agree with @roycoding, the test (making an offer) has two possible outcomes, positive (Yes offer) and negative (No offer). The test will be right(True) or wrong(False) depending on the actual quality of the candidate:

Good candidates | Yes Offer -> True Positive

Bad Candidates | Yes Offer -> False Positive

Good Candidate | No Offer -> False Negative

Bad Candidate | No Offer -> True Negative

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