ing set, we were able to increase the success rate to 0.83.

Finally, inspired by boosting[8], we experimented with training a male network and a female network using two distinct training sets of 200k elements each, and using both networks to classify, picking whichever network had the strongest response to the given input. This is a purely operational solution that does not root into anything else than the non-extensive experimental approach we described here. But it iss what worked best for us. Using thi