Linear models almost do not have overfitting since the model is not too complex. Both the random forest and decision tree models have a little overfitting. And the random forest have more apparent overfitting, which may possibly be caused by the fact that random forest is a more complex model. However, I think random forest is the best model to predict based on the predicting performance and RMSE result.