Use KFold training and validation sets split, using precision and recall rate to select the appropriate threshold value (threshold) 1.KFold (cross validation) 2.np.logical_and (n is the two arrays are bool n) 3 .np.logical_not (bool,) - Code World

Use KFold training and validation sets split, using precision and recall rate to select the appropriate threshold value (threshold) 1.KFold (cross validation) 2.np.logical_and (n is the two arrays are bool n) 3 .np.logical_not (bool,)

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Use KFold training and validation sets split, using precision and recall rate to select the appropriate threshold value (threshold) 1.KFold (cross validation) 2.np.logical_and (n is the two arrays are bool n) 3 .np.logical_not (bool,)

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KFold 훈련을 사용하여 유효성 검사 정밀도를 사용하여 분할을 설정하고 속도를 기억 적절한 임계 값 (임계 값) 1.KFold (교차 검증) 2.np.logical_and을 선택합니다 (n은 두 배열이 부울 n은입니다) 3 .np.logical_not (BOOL)

KFoldトレーニングを使用して、検証精度を使用して、スプリットを設定し、速度を呼び出す適切な閾値（閾値）1.KFold（クロスバリデーション）2.np.logical_andを選択する（nは2つのアレイはブールnはである）3 .np.logical_not（BOOLアレイが正である抗抗すなわち、正用）

KFoldトレーニングを使用して、検証精度を使用して、スプリットを設定し、速度を呼び出す適切な閾値（閾値）1.KFold（クロスバリデーション）2.np.logical_andを選択する（nは2つのアレイはブールnはである）3 .np.logical_not（BOOL）

KFold 훈련을 사용하여 유효성 검사 정밀도를 사용하여 분할을 설정하고 속도를 기억 적절한 임계 값 (임계 값) 1.KFold (교차 검증) 2.np.logical_and을 선택합니다 (n은 두 배열이 부울 n은입니다) 3 .np.logical_not (BOOL 어레이는 긍정적 인 안티 방지 즉, 양극 용)

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