다. 실제 상황에서는 데이터를 공유한 사람이나 팀에 연락하여 해당 열의 존재해야 하는지, 만
약 그렇다면 해당 열이 무엇을 나타내는지를 명확히 확인해야 합니다.
isFlaggedFraud
는 이전 모델이 예측한 거래의 사기 여부에 관한 열임을 알아냈다고 생각해
봅시다. 이 특징을 사용하는 편이 좋을까요?그렇지 않다면 왜 그럴까요?모델이 예측하는 시
점에는
isFlaggedFraud
라는 값이 존재하지 않습니다. 더 나은 신규 모델을 배포하고 나면, 일
반적으로 이전 모델을 다시 사용하지 않으므로
isFlaggedFraud
값이더는 기록되지 않기 때
문입니다.다만,이전 모델의 예측 ...
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