AnswerTopMarker: Disable
AnswerScoreLogistic: Retrained with updated model
train-and-eval: Always record score *after* retraining model, not before

This yields much less confusing data, even though it hides the fact that
often non-retrained model works better (which can be pretty weird).
data/eval/: Ignore answer*-csv
AnswerScoreLogistic: Update the model