Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Oversampling and Adjusting for Oversampling

The video tutorial covers oversampling, a technique used to handle rare events in datasets, particularly in the context of fraud detection in banking. It explains the importance of splitting data before oversampling to avoid overoptimism and ensure model generalization. The tutorial provides a detailed walkthrough of using SAS code to implement oversampling and check for data balance. It also introduces the offset method to adjust intercepts affected by oversampling, ensuring accurate model predictions.

What steps should be taken to check the effects of oversampling on a dataset?

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Describe the offset method and its purpose in the context of oversampling.

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In the provided SAS code, what does the variable 'auth off' represent?

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