Linear Regression to create a predictive model to calculate wine quality

Question

I'm working on a machine learning model to predict wine quality by alcohol level and acidity. Im new to machine learning and after thorough searching, I still can't decide whether linear regression or neural networks will best solve the problem? I'm using matlab 2013a and I would really appreciate if someone can help me decide which one to use? Which one will be easier to implement and which will yield better performance?

Answer 1

In order to decide which model fits better your data, you need to do cross-validation with an additional data set, namely training , test and validation . The last set is used to select the model or model parameters that provide better generalisation.