I ran three regression models for different product categories - sales prediction for icecreams, shoes, and cheese. I got the Root Mean Square Error (RMSE) for model A as 1.93, for model B as 0.99, and for Model C as 12.4. Which is the best model of the three models?

1. The information is not enough to make the correct interpretation.
2. Model B
3. Model C
4. Model A