Document the file size, MD5/SHA-256 hashes, and the tools used to extract it (e.g., 7-Zip, FTK Imager).
If the file contains datasets (e.g., CSV or JSON files) used to study algorithmic fairness, your paper should focus on the statistical implications: Bias.7z
(e.g., .exe, .pcap, .csv, .txt)?
Suggest ways to "de-bias" the model, such as re-weighting the data or using a GMM estimator for improved estimation . Option 3: Financial Trade Classification Document the file size, MD5/SHA-256 hashes, and the
AI responses may include mistakes. For financial advice, consult a professional. Learn more ERRORS IN TRADE CLASSIFICATION - Pure Document the file size