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Uploading a corrected classification file and selecting the "overwrite data on conflicts" option is the proper method for rectifying incorrect data in a classification. This process allows you to effectively replace the erroneous classifications with the correct ones while maintaining the overall data integrity. Overwriting data on conflicts ensures that any discrepancies between the new file and existing classifications are resolved automatically, which prevents potential data conflicts and allows for a seamless transition to the accurate classifications. This is crucial for maintaining reliable analytics data, ensuring that reporting reflects correct information and insights.

The other methods suggested are less efficient or not viable. Starting from scratch by deleting the entire classification can lead to loss of historical data and requires more time and effort to rebuild the classification structure. Creating an additional classification with a different name could clutter the system and lead to confusion, as it would require users to know which classification to rely on. Finally, requesting data deletion from Adobe Analytics support may involve waiting for resolution and typically is a last resort, rather than a proactive approach to managing classifications. Hence, the first method provides a direct and efficient solution to correcting data issues.