OsamaAbdulkhalique98/waferaverageremovalrateprediction ? reverse-engineered prompt

Build me a small Python project that predicts the average wafer removal rate for a CMP process from a dataset in a simple, easy to run way.

I want a script I can run from the command line that loads the data, lets me choose whether to remove outliers, and asks me which stage to use, A, B, or both. Then it should train a few machine learning models like Random Forest, SVR, and Lasso, compare how they perform, and show the prediction results clearly. It should also calculate the usual error metrics and make a few simple plots so I can see which model is doing best.

Keep it straightforward and practical, with a main file that ties everything together, plus separate code for data cleaning, model training, and error visualization. If you need to check anything about the latest Python library usage, look it up online and use the current docs.