"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 ver. description test-A Accuracy ×
1 p/tlen 2017-01-26 10:08 1.0.0 KenLM + Vowpal Wabbit vowpal-wabbit 0.69379 13
2 kaczla 2017-05-25 19:55 1.0.0 LSTM - decrease batch_size, 5 RNNs neural-network 0.69348 22
3 Karol Mazurek 2018-11-29 10:07 1.0.0 LinearSVC dev-0 dev-1 test-A - read submission_info.md python scikit-learn 0.66309 5
4 [anonymised] 2019-01-27 09:40 1.0.0 Test4 0.66276 4
5 siulkilulki 2017-03-27 11:08 1.0.0 without feature engineering, Adaptive Moment Estimation, 49 epoch. discriminative better than generative python self-made logistic-regression 0.66120 13
6 Grzegorz Bąk 2018-12-11 22:32 1.0.0 initial version with training limit on 1m python scikit-learn better-than-no-model-baseline 0.65983 3
7 [anonymised] 2019-01-27 07:23 1.0.0 dodanie zaktualizowanego test.py 0.65883 3
8 [anonymised] 2018-05-20 15:57 1.0.0 naive bayes 0.65872 1
9 [anonymised] 2019-01-27 13:01 1.0.0 Wesja milion7 0.65659 8
10 Mieszko 2016-12-27 10:22 1.0.0 Kenml devs & train LM & remove punct kenlm 0.65591 45
11 antystenes 2017-03-11 15:54 1.0.0 TurboHaskell 2010 naive-bayes multinomial haskell self-made 0.65531 7
12 s429416 2017-12-30 21:40 1.0.0 Done self-made naive-bayes self-made 0.65531 3
13 zp30615 2017-06-04 11:14 1.0.0 em 0.65499 19
14 Mario 2017-02-28 17:06 1.0.0 Rozwiązanie 3 naive-bayes multinomial self-made java 0.65482 8
15 mmalisz 2017-03-02 23:49 1.0.0 I can see that I'll have to teach you how to be villains! naive-bayes multinomial self-made regexp lisp 0.65479 10
16 [anonymised] 2018-05-20 14:38 1.0.0 my solution 0.65388 1
17 Wurka 2018-05-20 16:36 1.0.0 Zadanie 7 0.65388 1
18 [anonymised] 2017-11-26 19:46 1.0.0 Logisitc regression, self made, python self-made logistic-regression 0.65381 5
19 [anonymised] 2019-01-27 16:29 1.0.0 dampie5 solution v3.5 0.65190 8
20 marcin-jedynski 2016-12-01 02:45 1.0.0 kenlm first attempt 0.65047 2
21 Durson 2017-03-09 17:38 1.0.0 Naive Bayes naive-bayes multinomial self-made perl 0.65043 30
22 [anonymised] 2019-01-27 08:07 1.0.0 proba milion nowa 0.64888 7
23 [anonymised] 2018-01-06 12:30 1.0.0 naive bayes przy uzyciu wektorow czestosci slow naive-bayes 0.64733 6
24 [anonymised] 2019-01-26 17:38 1.0.0 solution1 0.64647 1
25 [anonymised] 2019-01-26 17:04 1.0.0 s402267 - petite-difference-challenge2 0.64519 1
26 [anonymised] 2019-01-26 17:35 1.0.0 Init_3-zad-1 0.64519 3
27 [anonymised] 2019-01-26 16:44 1.0.0 my briliant solution 0.64519 1
28 Tomasz 2019-02-21 22:58 1.0.0 my brilliant solution 0.64519 1
29 [anonymised] 2019-01-26 17:12 1.0.0 kd solution 0.64519 2
30 [anonymised] 2019-01-26 16:43 1.0.0 my first soution .py 0.64519 2
31 [anonymised] 2019-01-26 17:26 1.0.0 mk 0.64519 3
32 Domagalsky 2017-01-08 20:31 1.0.0 Punct split v2 kenlm 0.64260 24
33 germek 2017-06-12 12:46 1.0.0 Bernoulli naive-bayes bernoulli python self-made 0.64037 9
34 [anonymised] 2019-02-21 15:18 1.0.0 Michal Mioduszewski - solution 0.63986 1
35 [anonymised] 2019-01-26 19:51 1.0.0 dodanie wyniku dla test-A 0.63726 2
36 EmEm 2017-06-04 13:45 1.0.0 lm self-made ready-made lm 0.62377 4
37 [anonymised] 2017-11-24 19:32 1.0.0 logistic regression ready-made logistic-regression 0.61262 1
38 [anonymised] 2018-01-09 12:59 1.0.0 KenLM kenlm 0.61203 45
39 MF 2017-12-03 16:29 1.0.0 lm kenlm 0.61190 6
40 [anonymised] 2018-02-13 21:16 1.0.0 naive-bayes naive-bayes python 0.60877 19
41 [anonymised] 2017-11-26 22:35 1.0.0 Task 4. logistic-regression 0.60482 3
42 Iza 2018-05-17 15:52 1.0.0 polecenia 0.60185 6
43 Weronika 2018-05-17 15:51 1.0.0 my brilliant solution 0.60185 2
44 Piotr Michalak 2018-05-15 15:17 1.0.0 UMZ homerwork - naive bayes 0.59369 1
45 [anonymised] 2018-05-15 14:40 1.0.0 Naive Bayes naive-bayes 0.59369 1
46 bee713 2018-05-20 18:11 1.0.0 naive bayes 2 0.59369 2
47 [anonymised] 2019-01-26 16:48 1.0.0 My brilliant solution 0.56693 3
48 tamazaki 2017-06-12 13:28 1.0.0 prosty model jezyka, unix, vol8 self-made ready-made lm 0.56657 18
49 Kumajka 2018-05-15 19:19 1.0.0 Naive Bayes solution 0.54939 1
50 [anonymised] 2018-05-22 14:09 1.0.0 change dev/test 0.53678 4
51 [anonymised] 2018-05-18 08:32 1.0.0 my solution -nb 0.53678 1
52 SmerfPracus 2018-05-18 07:44 1.0.0 naive bayes 0.53678 1
53 [anonymised] 2018-05-18 08:53 1.0.0 naive_bayes 0.53678 1
54 [anonymised] 2018-05-18 08:55 1.0.0 NaiveBays 0.53678 2
55 MSz 2017-12-16 13:18 1.0.0 Logistic regression, ready-made ready-made logistic-regression 0.52919 3
56 Marcin Gluza 2019-01-03 11:37 1.0.0 brylantowe rozwiazanie2 0.52448 2
57 [anonymised] 2017-02-21 16:58 1.0.0 test simple solution 0.52200 1
58 KamilTrabka 2016-12-03 23:06 1.0.0 proste rozwiazanie 0.51754 4
59 [anonymised] 2016-12-05 00:26 1.0.0 Womendict ver.3 0.51516 7
60 RafciX 2016-12-07 09:24 1.0.0 v2 0.51408 4
61 Paweł Skórzewski 2017-12-11 13:39 1.0.0 Word2Vec + logistic regression (fix newlines) python ready-made logistic-regression 0.51148 2
62 [anonymised] 2018-01-19 08:25 1.0.0 zadanie 008 z kodem programu v1.3 ready-made logistic-regression 0.50882 2
63 [anonymised] 2017-12-03 01:59 1.0.0 Naive Bayes naive-bayes 0.50391 5
64 Weronika 2017-11-26 23:17 1.0.0 04b logistic regression ready-made v3 ready-made logistic-regression 0.50086 3
65 [anonymised] 2017-02-27 17:22 1.0.0 moje rozwiazanie 1 stupid python self-made 0.50068 1
66 [anonymised] 2018-01-07 18:48 1.0.0 nb_ready naive-bayes 0.50063 5
67 [anonymised] 2017-11-26 22:40 1.0.0 LR ready-made logistic-regression 0.49918 5
68 deinonzch 2017-12-20 10:57 1.0.0 my brilliant solution naive-bayes 0.49782 6