Fig. 7.

Proportions of overfitting in the models. Overfitting is indicated by a reduction in the distance of the log odds between generated data and the training data relative to the validation data. (See formula (1) in the methods section for a formal definition.) Positive values indicate overfitting, while negative values indicate that the approach performed actually better on the validation data than on the training data. All data points shown relate to the same data and model configurations that produced the results in Fig. 6