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NEW QUESTION: 1
C-Support Vector分類を使用して、不均衡なトレーニングデータセットでマルチクラス分類を行っています。以下に示すPythonコードを使用したC-Support Vector分類：
C-Support Vector分類コードを評価する必要があります。
どの評価ステートメントを使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: Automatically adjust weights inversely proportional to class frequencies in the input data The "balanced" mode uses the values of y to automatically adjust weights inversely proportional to class frequencies in the input data as n_samples / (n_classes * np.bincount(y)).
Box 2: Penalty parameter
Parameter: C : float, optional (default=1.0)
Penalty parameter C of the error term.
References:
https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
NEW QUESTION: 2
What causes a sync from Salesforce to Pardot?
A. Updating the record's assigned owner
B. Prospect opens one to one email
C. Updating a formula field in Salesforce
D. Updating a field on a contact record that does not have an email address
Answer: A
Explanation:
Explanation/Reference:
Reference: https://help.salesforce.com/articleView?
id=pardot_what_causes_prospects_to_sync_from_salesforce_to_pardot.htm&type=5
NEW QUESTION: 3
A. Option E
B. Option D
C. Option A
D. Option B
E. Option C
Answer: E