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NEW QUESTION: 1
以下の出力に基づいて、どのPythonコードが「upTime」キーの値を示していますか？
A）
B）
C）
D）
A. オプションA
B. オプションD
C. オプションB
D. オプションC
Answer: B
NEW QUESTION: 2
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: 3
Lab Questions
Answer:
Explanation:
192.168.8.15
Explanation:
The IP address assigned to FA0/1 is 192.168.8.9/29, making 192.168.8.15 the broadcast address.
TheAnswer: 16 Kbit/sec
Explanation:
Use the "show interface s0/0" to see the bandwidth set at 16 Kbit/sec.
TheAnswer: 6
Explanation:
This is a /29 address, so there are 6 usable IP's on this subnet.
TheAnswer:
Router1(conf)# interface fa0/1
Router1(conf0if)# no shutdown
Explanation:
Do a "show ip int brief" and you will see that Fa0/1 has an IP address assigned, but it is shut down.