The article discusses a method to predict the production of coalbed methane wells before fracturing. By analyzing data and using a support vector machine model, the researchers classified wells into low, medium, and high production categories. This classification helps in selecting wells with mining value and reducing costs in coalbed methane extraction. The model accurately predicts the stable production of coalbed methane wells, providing valuable guidance for efficient mining operations.