mironjee51300/VIRUSTEXTCODE ? reverse-engineered prompt

Build me a Python project that reads text files from two folders, one for virus code samples and one for non virus samples, and classifies them with machine learning.

I want a notebook that cleans the text, turns it into features, trains a few different models, and compares their results so I can see which one works best. Please include simple evaluation like accuracy, precision, recall, F1 score, and a confusion matrix, plus clear output that makes the comparison easy to understand.

Keep it easy to run from the notebook, and make the code organized enough that I can swap in more samples later. If you need to, look up current docs online for the best way to do text classification in Python.