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NEW QUESTION: 1
Azure Machine Learning Studioで実験を作成します。 10,000行を含むトレーニングデータセットを追加します。最初の9,000行はクラス0（90パーセント）を表します。
残りの1,000行はクラス1（10パーセント）を表します。
トレーニングセットは、2つのクラス間の不均衡です。 5つのデータ行を使用して、クラス1のトレーニング例の数を4,000に増やす必要があります。 Synthetic Minority Oversampling Technique（SMOTE）モジュールを実験に追加します。
モジュール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？回答するには、回答領域のダイアログボックス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: 300
You type 300 (%), the module triples the percentage of minority cases (3000) compared to the original dataset (1000).
Box 2: 5
We should use 5 data rows.
Use the Number of nearest neighbors option to determine the size of the feature space that the SMOTE algorithm uses when in building new cases. A nearest neighbor is a row of data (a case) that is very similar to some target case. The distance between any two cases is measured by combining the weighted vectors of all features.
By increasing the number of nearest neighbors, you get features from more cases.
By keeping the number of nearest neighbors low, you use features that are more like those in the original sample.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
NEW QUESTION: 2
The written agreement between a corporation and the bondholder's representative is called:
A. The prospectus
B. The indenture
C. The debenture
Answer: B
NEW QUESTION: 3
An autonomous AP maps the SSID to what on the wired network?
A. SG tag
B. BSSID
C. QoS tag
D. VLAN
Answer: D
NEW QUESTION: 4
Which RSTP-PV features are embedded and cannot be disabled?
A. InditectLink Rapid Convergence and IndirectLink Fast Rapid Convergence
B. DirectLink Rapid Convergence and DirectLink Fast Rapid Convergence
C. DirectLink Fast Rapid Convergence and IndirectLink Rapid Convergence
D. DirectLink Rapid Convergence and IndirectLink Fast Rapid Convergence
Answer: D
Explanation:
Reference:
https://www.manualslib.com/manual/858353/Dell-Networking-N4000-Series.html?page=724