"He Said She Said" classification challenge (2nd edition)

Guess whether a text in Polish was written by a man or woman.

Git repo URL: git://gonito.net/petite-difference-challenge2 / Branch: master

(Browse at http://gonito.net/gitlist/petite-difference-challenge2.git/master)

Leaderboard

# submitter when description test-A/Accuracy ×
1 p/tlen 2017-01-26 10:08 KenLM + Vowpal Wabbit vowpal-wabbit 0.69379 12
2 kaczla 2017-05-25 19:55 LSTM - decrease batch_size, 5 RNNs neural-network 0.69348 18
3 siulkilulki 2017-03-27 11:08 without feature engineering, Adaptive Moment Estimation, 49 epoch. discriminative better than generative self-made python logistic-regression 0.66120 13
4 Mieszko 2016-12-27 10:22 Kenml devs & train LM & remove punct 0.65591 27
5 antystenes 2017-03-11 15:54 TurboHaskell 2010 naive-bayes self-made haskell multinomial 0.65531 7
6 zp30615 2017-06-04 11:14 em 0.65499 18
7 Mario 2017-02-28 17:06 Rozwiązanie 3 naive-bayes java self-made multinomial 0.65482 7
8 mmalisz 2017-03-02 23:49 I can see that I'll have to teach you how to be villains! naive-bayes regexp lisp self-made multinomial 0.65479 9
9 Martin 2016-12-01 02:45 kenlm first attempt 0.65047 1
10 Durson 2017-03-09 17:38 Naive Bayes perl self-made naive-bayes multinomial 0.65043 29
11 Domagalsky 2017-01-08 20:31 Punct split v2 0.64260 20
12 germek 2017-06-12 12:46 Bernoulli bernoulli python naive-bayes self-made 0.64037 5
13 EmEm 2017-06-04 13:45 lm ready-made lm self-made 0.62377 3
14 tamazaki 2017-06-12 13:28 prosty model jezyka, unix, vol8 ready-made lm self-made 0.56657 7
15 Maciej 2016-11-28 16:23 Women - interpunction 0.52835 9
16 [anonymised] 2017-02-21 16:58 test simple solution 0.52200 1
17 KamilTrabka 2016-12-03 23:06 proste rozwiazanie 0.51754 3
18 Dominik Ziętkowski 2016-12-05 00:26 Womendict ver.3 0.51516 4
19 RafciX 2016-12-07 09:24 v2 0.51408 3
20 [anonymised] 2017-02-27 17:22 moje rozwiazanie 1 stupid self-made python 0.50068 1