"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 https://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 22
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 kenlm 0.65591 41
5 antystenes 2017-03-11 15:54 TurboHaskell 2010 self-made naive-bayes haskell multinomial 0.65531 7
6 s429416 2017-12-30 21:40 Done self-made naive-bayes self-made 0.65531 2
7 zp30615 2017-06-04 11:14 em 0.65499 18
8 Mario 2017-02-28 17:06 Rozwiązanie 3 naive-bayes self-made java multinomial 0.65482 7
9 mmalisz 2017-03-02 23:49 I can see that I'll have to teach you how to be villains! naive-bayes lisp regexp self-made multinomial 0.65479 9
10 [anonymised] 2017-11-26 19:46 Logisitc regression, self made, python self-made logistic-regression 0.65381 3
11 Martin 2016-12-01 02:45 kenlm first attempt 0.65047 1
12 Durson 2017-03-09 17:38 Naive Bayes perl self-made naive-bayes multinomial 0.65043 29
13 Szymon Urbański 2018-01-06 12:30 naive bayes przy uzyciu wektorow czestosci slow naive-bayes 0.64733 5
14 Domagalsky 2017-01-08 20:31 Punct split v2 kenlm 0.64260 20
15 germek 2017-06-12 12:46 Bernoulli bernoulli python naive-bayes self-made 0.64037 5
16 EmEm 2017-06-04 13:45 lm ready-made lm self-made 0.62377 3
17 Kinga Kramer 2017-11-24 19:32 logistic regression ready-made logistic-regression 0.61262 1
18 Maciej Wanat 2018-01-09 12:59 KenLM kenlm 0.61203 37
19 [anonymised] 2017-12-03 16:29 lm kenlm 0.61190 6
20 [anonymised] 2017-11-26 22:35 Task 4. logistic-regression 0.60482 3
21 tamazaki 2017-06-12 13:28 prosty model jezyka, unix, vol8 ready-made lm self-made 0.56657 7
22 MSz 2017-12-16 13:18 Logistic regression, ready-made ready-made logistic-regression 0.52919 3
23 [anonymised] 2017-02-21 16:58 test simple solution 0.52200 1
24 KamilTrabka 2016-12-03 23:06 proste rozwiazanie 0.51754 3
25 Dominik Ziętkowski 2016-12-05 00:26 Womendict ver.3 0.51516 4
26 RafciX 2016-12-07 09:24 v2 0.51408 3
27 Paweł Skórzewski 2017-12-11 13:39 Word2Vec + logistic regression (fix newlines) python ready-made logistic-regression 0.51148 1
28 [anonymised] 2017-12-03 01:59 Naive Bayes naive-bayes 0.50391 3
29 Weronika 2017-11-26 23:17 04b logistic regression ready-made v3 ready-made logistic-regression 0.50086 2
30 [anonymised] 2017-02-27 17:22 moje rozwiazanie 1 self-made stupid python 0.50068 1
31 [anonymised] 2018-01-07 18:48 nb_ready naive-bayes 0.50063 2
32 [anonymised] 2017-11-26 22:40 LR ready-made logistic-regression 0.49918 1
33 deinonzch 2017-12-20 10:57 my brilliant solution naive-bayes 0.49782 1