These are the HMMs which performed best on the validation set.
There are 2 HMMs (pos/neg) per run and training set size.

Filename explanation:

1) trainsize
tr100 - 100 training samples
tr1000 - 1000 training samples
tr10000 - 10000 training samples

2) run
r[1-5] - run 1-5

3) positive or negative model
pos - positve model
neg - negative model
