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Fix schema

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uri 2025-04-15 13:37:57 +02:00
parent a2cad661dd
commit e981cc1739
1 changed files with 4 additions and 4 deletions
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models/intermediate/cross/schema.yml
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@ -3123,8 +3123,8 @@ models:
description: |
Precision score, or positive predictive value. This corresponds to the
proportion of all predicted positives that were classified correctly as a
positive. In our case, it answers the question "what fraction of
claims/payouts flagged as at risk were actually at risk?".
positive. In our case, it answers the question "what fraction of Bookings
flagged as at Risk actually generated a Claim/Payout?".
This is the count of true positives divided by the sum of true positives and
false positives. Precision improves when false positives decrease.
A hypothetical perfect model would have zero false positives, and thus a
@ -3135,8 +3135,8 @@ models:
description: |
False positive rate, or fall-out. This corresponds to the proportion of all
actual negatives that were classified incorrectly as a positive. It can be seen
as a probability of false alarm: in our case, it answers the question "what
fraction of non-claims/payouts were flagged as at risk?".
as a probability of false alarm: in our case, it answers the question "what
fraction of bookings without a claim/payout were flagged as at risk?".
This is the count of false positives divided by the sum of true positives and
false positives.
A hypothetical perfect model would have zero false positives, and thus a