There are many obvious ways you can try to improve on our example model. For example, you might try:
Using nearest neighbor methods over both packages and users.
Building a metric of maintainer quality and adding this predictor to the example logistic model.
Incorporating out-degree information from the graphs we're providing. The example model only uses in-degree information.
Using regularization to deal with the considerable correlation in the default predictors.