"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 13
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 [anonymised] 2018-05-20 15:57 naive bayes 0.65872 1
5 Mieszko 2016-12-27 10:22 Kenml devs & train LM & remove punct kenlm 0.65591 45
6 antystenes 2017-03-11 15:54 TurboHaskell 2010 naive-bayes self-made haskell multinomial 0.65531 7
7 s429416 2017-12-30 21:40 Done self-made naive-bayes self-made 0.65531 3
8 zp30615 2017-06-04 11:14 em 0.65499 19
9 Mario 2017-02-28 17:06 Rozwiązanie 3 naive-bayes java self-made multinomial 0.65482 8
10 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 10
11 [anonymised] 2018-05-20 14:38 my solution 0.65388 1
12 Wurka 2018-05-20 16:36 Zadanie 7 0.65388 1
13 [anonymised] 2017-11-26 19:46 Logisitc regression, self made, python self-made logistic-regression 0.65381 5
14 marcin-jedynski 2016-12-01 02:45 kenlm first attempt 0.65047 2
15 Durson 2017-03-09 17:38 Naive Bayes perl self-made naive-bayes multinomial 0.65043 30
16 Szymon Urbański 2018-01-06 12:30 naive bayes przy uzyciu wektorow czestosci slow naive-bayes 0.64733 6
17 Domagalsky 2017-01-08 20:31 Punct split v2 kenlm 0.64260 24
18 germek 2017-06-12 12:46 Bernoulli python self-made bernoulli naive-bayes 0.64037 9
19 EmEm 2017-06-04 13:45 lm ready-made lm self-made 0.62377 4
20 [anonymised] 2017-11-24 19:32 logistic regression ready-made logistic-regression 0.61262 1
21 [anonymised] 2018-01-09 12:59 KenLM kenlm 0.61203 45
22 MF 2017-12-03 16:29 lm kenlm 0.61190 6
23 [anonymised] 2018-02-13 21:16 naive-bayes naive-bayes python 0.60877 19
24 [anonymised] 2017-11-26 22:35 Task 4. logistic-regression 0.60482 3
25 Iza 2018-05-17 15:52 polecenia 0.60185 6
26 Weronika 2018-05-17 15:51 my brilliant solution 0.60185 2
27 Piotr Michalak 2018-05-15 15:17 UMZ homerwork - naive bayes 0.59369 1
28 Szymon Świergosz 2018-05-15 14:40 Naive Bayes naive-bayes 0.59369 1
29 bee713 2018-05-20 18:11 naive bayes 2 0.59369 2
30 tamazaki 2017-06-12 13:28 prosty model jezyka, unix, vol8 ready-made lm self-made 0.56657 18
31 Kumajka 2018-05-15 19:19 Naive Bayes solution 0.54939 1
32 Smerf Marzyciel 2018-05-22 14:09 change dev/test 0.53678 4
33 [anonymised] 2018-05-18 08:32 my solution -nb 0.53678 1
34 SmerfPracus 2018-05-18 07:44 naive bayes 0.53678 1
35 Smerf Łasuch 2018-05-18 08:53 naive_bayes 0.53678 1
36 Smerf Laluś 2018-05-18 08:55 NaiveBays 0.53678 2
37 MSz 2017-12-16 13:18 Logistic regression, ready-made ready-made logistic-regression 0.52919 3
38 [anonymised] 2017-02-21 16:58 test simple solution 0.52200 1
39 KamilTrabka 2016-12-03 23:06 proste rozwiazanie 0.51754 4
40 [anonymised] 2016-12-05 00:26 Womendict ver.3 0.51516 7
41 RafciX 2016-12-07 09:24 v2 0.51408 4
42 Paweł Skórzewski 2017-12-11 13:39 Word2Vec + logistic regression (fix newlines) python ready-made logistic-regression 0.51148 2
43 Pawel Kozanowski 2018-01-19 08:25 zadanie 008 z kodem programu v1.3 ready-made logistic-regression 0.50882 2
44 [anonymised] 2017-12-03 01:59 Naive Bayes naive-bayes 0.50391 5
45 Weronika 2017-11-26 23:17 04b logistic regression ready-made v3 ready-made logistic-regression 0.50086 3
46 [anonymised] 2017-02-27 17:22 moje rozwiazanie 1 stupid self-made python 0.50068 1
47 [anonymised] 2018-01-07 18:48 nb_ready naive-bayes 0.50063 5
48 [anonymised] 2017-11-26 22:40 LR ready-made logistic-regression 0.49918 5
49 deinonzch 2017-12-20 10:57 my brilliant solution naive-bayes 0.49782 6