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NEW QUESTION: 1
---
A. Option A
B. Option D
C. Option C
D. Option B
Answer: A
NEW QUESTION: 2
You are analyzing data in order to build a classifier model. You discover non-linear data and discontinuities that will affect the model. Which analytical method would you recommend?
A. Linear Regression
B. Decision Trees
C. ARIMA
D. Logistic Regression
Answer: B
NEW QUESTION: 3
Azure Machine Learningのハイパードライブ機能を使用して、モデルのトレーニング時に最適なハイパーパラメーター値を決定する予定です。
次のハイパーパラメーター値の組み合わせを試すには、ハイパードライブを使用する必要があります。早期終了ポリシーを適用しないでください。
learning_rate：0.001から0.1までの任意の値
* batch_size：16、32、または64
ハイパードライブ実験のサンプリング方法を構成する必要がありますどの2つのサンプリング方法を使用できますか？それぞれの正解は完全なソリューションです。
注：それぞれの正しい選択は1ポイントの価値があります。
A. Random sampling
B. No sampling
C. Bayesian sampling
D. Grid sampling
Answer: B