This kind of simulation allows to estimate the performance of a classifier which performs several times a task over random outputs whose distribution reflects that of real data.
for this experiment, since we had 236 reviews whose 50% were labeled as false, 100000 times we produced 236 random binomial predictions, having p = .5.