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:

1. Review the steps taken for data cleaning to ensure completeness and accuracy.
2. Evaluate the relevance of the features identified for training purposes.
3. Determine the approach for rounding floating-point numbers in the dataset.
4. 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:

1. Identify the content and significance of the values in the last column of migrationEngine.csv.
2. Determine if the values are necessary for the dataset or if they can be removed.