分類タスクを解決しています。 データセットのバランスが崩れています。 分類の精度を向上させるには、Azure Machine Learning Studio モジュールを選択する必要があります。 どのモジュールを使用すればよいですか?
正解:C
Use the SMOTE module in Azure Machine Learning Studio (classic) to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases. You connect the SMOTE module to a dataset that is imbalanced. There are many reasons why a dataset might be imbalanced: the category you are targeting might be very rare in the population, or the data might simply be difficult to collect. Typically, you use SMOTE when the class you want to analyze is under-represented. Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote