Answer-first summary for fast verification
Answer: No adjustment required.
The underlined segment states 'To improve the amount of low incidence cases in a dataset, you should make use of the SMOTE module.' This is accurate because SMOTE (Synthetic Minority Over-sampling Technique) is specifically designed to address class imbalance by generating synthetic samples for underrepresented (low incidence) classes. The community discussion confirms this with high consensus (100% selected A), upvoted comments explaining SMOTE's purpose, and references to Microsoft documentation stating SMOTE increases underrepresented cases in imbalanced datasets. No other options (Remove Duplicate Rows, Join Data, Edit Metadata) are relevant to handling class imbalance through synthetic sample generation.
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To increase the number of low incidence cases in a dataset, you should use the SMOTE module.
Select No adjustment required if the underlined text is correct. If the underlined text is incorrect, select the accurate option.
A
No adjustment required.
B
Remove Duplicate Rows
C
Join Data
D
Edit Metadata