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Request for Feedback on Initial Data Cleaning Process
I am writing to seek feedback on the initial data cleaning process based on the DMBench repository's outputs. Before proceeding with the training and feature engineering phases, I would greatly appreciate your insights and suggestions.
To-Do List:
- Review the steps taken for data cleaning to ensure completeness and accuracy.
- Evaluate the relevance of the features identified for training purposes.
- Determine the approach for rounding floating-point numbers in the dataset.
- Any additional explanations or guidance regarding the data cleaning process would be highly valuable.
Issue Description:
In the migrationEngine.csv file, the last column does not have a header but contains values. Clarification is needed regarding the nature of these values and whether they are important to retain or can be omitted.
Actions Required:
- Identify the content and significance of the values in the last column of migrationEngine.csv.
- Determine if the values are necessary for the dataset or if they can be removed.
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