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관련 가이드 경로기능 엔지니어링
질문 1 의 8

모델 훈련 전에 특성 추출에는 어떤 작업이 포함되나요?

모든 질문 미리보기8 질문

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  1. 모델 훈련 전에 특성 추출에는 어떤 작업이 포함되나요?
    • 훈련을 위해 가장 빠른 GPU 선택
    • 모델의 손실 함수 작성
    • 원시 데이터를 모델이 학습할 수 있는 유용한 입력으로 변환
    • 프로덕션에 모델 배포
  2. Why should a proposed engineered feature be evaluated with the chosen model and task?
    • Every extra feature guarantees higher accuracy
    • Its usefulness depends on what it represents and how the model uses it
    • Input representation never affects predictions
    • Changing features always matters more than every algorithm choice
  3. A feature uses an outcome recorded only after the prediction is needed. Which feature-engineering problem does this illustrate?
    • A necessary improvement in causal identification
    • A harmless change to a file extension
    • A requirement to use more graphics hardware
    • Prediction-time information leakage
  4. When fitting a standardization step for a train-and-held-out evaluation, which data should supply its mean and scale?
    • The training data, with those fitted statistics reused on held-out inputs
    • The test data only
    • All data after examining final test outcomes
    • A different refit on every evaluation example
  5. 다음 중 범주형 데이터에 대한 일반적인 특성 추출 기법은 무엇인가요?
    • 학습률 높이기
    • 원-핫 또는 대상 인코딩
    • 더 많은 GPU 추가
    • 파일 이름 섞기
  6. With OneHotEncoder configured as handle_unknown ignore and no dropped category, how is an unseen category represented for its feature?
    • An extra indicator column created automatically for that new category
    • An immediate error regardless of the stated ignore setting
    • All zeros in the indicator columns for that feature
    • The outcome target value copied into the indicator columns
  7. Why can extreme numeric observations affect a StandardScaler transformation?
    • Its estimated mean and variance are sensitive to outliers
    • It uses medians and interquartile ranges instead of means and variances
    • It ranks observations without using their numeric magnitudes
    • It clips every value to fitted quantiles before estimating scale
  8. In a stated degree-two interaction feature x1 times x2, what is its value for x1 three and x2 four?
    • 세븐
    • 하나
    • Twenty-five
    • 12