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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
セキュリティエンジニアが、会社のゲストユーザーサービス用にCisco ISEを展開しています。左側のCisco ISEペルソナを右側の機能にドラッグアンドドロップします。

Answer:
Explanation:



NEW QUESTION: 3
What are important considerations when designing a VDM solution?
A. File system sizes, client operating systems
B. The number of separate ADs, load balancing
C. Network performance, FAST Cache availability
D. Deduplication ratio, NFS version to be used
Answer: B

NEW QUESTION: 4
A cloud administrator must deploy a private Cloud. The design is focused on the need to accelerate applications delivered from private and virtual private cloud infrastructure, using policy-based on-demand orchestration. Which two products are the most beneficial to these efforts. (Choose two.)
A. VSG
B. vNAM
C. ASAv
D. Cisco vWAAS
E. Cisco Nexus 1000v
Answer: D,E

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