For noiseless datasets, the accuracy of a model in general increases with the size of a dataset, as visible and discussed in Fig. . The performance is also influenced by the model size, i.e. the number of parameters, as well the input representation and architecture of the model. These factors contribute to the error caused by model bias and are discussed in the following.