Relegator: to do this week

1. Separate dataset generation and classifier training into different scripts.  This way, the classification script can be run with different configurations on the same train and test datasets.  The data generation should dump the train and test datasets to a pickle.

2. Add code that evaluates the significance during training on a weighted dataset.  This will take a lot of reworking of the training script (I think) and the model classes.