Web Science/Part2: Emerging Web Properties/Generative Models for the Web/Pittfalls when increasing the number of model parameters/quiz

{Increasing the number of Model parameters often yields more accurate generative Models. Why should one be careful to do so?} - more model parameter always lead to a worse complexity class of the Algorithm + when a certain amount of parameters is reached one might not get an interesting insight from the parameter set + we are aiming for simplicity of our models.

{Which of the following rule of thumbs is most likely true?} + increasing the number of model parameters has a good chance to create a generative model whose statistics better match the observed data + decreasing the number of model parameters leads to simpler models - doubling the amount of model parameters will decrease the error of the model by 50% - doubling the amount of model parameters will increase the error of the model by 50%