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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
Business risk is concerned with the operations of the firm. Which of the following is not associated with (or not a part of) business risk?
A. The extent to which operating costs are fixed.
B. Sales price variability.
C. Demand variability.
D. The ability to change prices as costs change.
E. Changes in required returns due to financing decisions.
Answer: E
Explanation:
Explanation/Reference:
Explanation:
Business risk depends on:
(1) unit sales variability,
(2) sales price variability,
(3) input price variability,
(4) ability to adjust output prices for changes in input prices and,
(5) the extent to which costs are fixed (operating leverage).

NEW QUESTION: 3
IBM Lab Servicesによって展開されたIBMストレージ機能は、お客様に安心を保証します。
100％のデータ可用性？
A. ハイパーレジャー
B. フラッシュ耐久性
C. IBM HyperSwap
D. IBMコントローラーアップグレードプログラム
Answer: C