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NEW QUESTION: 1
分類タスクを解決しています。
k分割交差検証を使用して、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。 kパラメーターを分割数として構成することから始めます。
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=0
C. k=5
D. k=1
Answer: C
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.
NEW QUESTION: 2
Refer to the Exhibit. An operator notices that the state of a Virtual Machine (VM) indicates that it is Invalid
What condition could result in this state?
A. The VM no longer exists.
B. The VM has been enabled for Fault Tolerance but one of the nodes is not functioning
C. The VM has no virtual disk file.
D. The VM was imported from an older version of vSphere and is not compatible with vSphere 6.x.
Answer: C
NEW QUESTION: 3
To modify task title or task description of a specific item, which of the below enhancement spot is used?
Please choose the correct answer. Choose one:
A. IWPGW/ES JGW_USER_DETAIL
B. IWPGW/ES_TGW_TASK_DATA
C. None of the above
D. IWPGW/ES_EGW_TASK_QUERY
Answer: B
