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NEW QUESTION: 1
다음 중 Wired Equivalent Privacy (WEP)의 약점은 무엇입니까?
A. 메시지 훼손 탐지
B. 초기화 벡터의 길이 (IV)
C. 키를 회전시키는 기본 제공
D. 메시지 재생 방지
Answer: B

NEW QUESTION: 2
欠陥を特定するために検査で属性データを収集するときに最も役立つ基本的な品質ツールはどれですか？
A. パレート図
B. チェックシート
C. 石川図
D. 管理図
Answer: B

NEW QUESTION: 3
Scenario: A Citrix Administrator created a new NetScaler Gateway virtual server. During testing, users are unable to access XenApp applications through iOS and Android devices.
Which configuration should the administrator verify?
A. Client Cleanup prompt is selected.
B. The virtual server is set to Basic Mode.
C. Single Sign-on to Web Applications is selected.
D. Clientless Access is set to OFF.
Answer: D

NEW QUESTION: 4
分類タスクを解いています。
k分割交差検定を使用して、限られたデータサンプルでモデルを評価する必要があります。まず、kパラメータを分割数として構成します。
交差検定のkパラメーターを構成する必要があります。
どの値を使用する必要がありますか？
A. k = 0.5
B. k = 10
C. k = 0.9
D. k = 1
Answer: B
Explanation:
Explanation
Leave One Out (LOO) cross-validation
Setting K = n (the number of observations) yields n-fold and is called leave-one out cross-validation (LOO), a special case of the K-fold approach.
LOO CV is sometimes useful but typically doesn't shake up the data enough. The estimates from each fold are highly correlated and hence their average can have high variance.
This is why the usual choice is K=5 or 10. It provides a good compromise for the bias-variance tradeoff.