"He Said She Said" classification challenge

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

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[anonymised]   2017-02-27 17:02
submitted a solution:moje rozwiazanie 1
[anonymised]   2016-06-23 09:01
submitted a solution:3gram model KenLM + stemming
nozdi   2016-06-19 20:27
submitted a solution:New 3 best voting
nozdi   2016-06-18 15:05
submitted a solution:LSTM + ReLU + Softmax
nozdi   2016-06-18 09:25
submitted a solution:RNN + more layers + ReLU
[anonymised]   2016-06-17 21:37
submitted a solution:KenLM + stemming + 2grams
nozdi   2016-06-17 15:47
submitted a solution:RNN + more layers
nozdi   2016-06-17 09:52
submitted a solution:3 best voting
[anonymised]   2016-06-17 09:05
submitted a solution:3gram model test-A KenLM + stemming
[anonymised]   2016-06-17 09:03
submitted a solution:2gram model KenLM + stemming testA
nozdi   2016-06-17 09:00
submitted a solution:RNN - LSTM - 2 layers - 3 epch
[anonymised]   2016-06-17 08:59
submitted a solution:2gram model KenLM + stemming
[anonymised]   2016-06-16 09:56
submitted a solution:KenLM + stemming + 3grams
nozdi   2016-06-13 13:36
submitted a solution:Both directions LSTM
nozdi   2016-06-09 12:42
submitted a solution:1M words + CONVOLUTION + LSTM
nozdi   2016-06-06 22:21
submitted a solution:LSTM + 1M words
nozdi   2016-06-04 15:54
submitted a solution:RNN - GRU & 5 epoch & 50k words
p/tlen   2016-05-30 20:51
submitted a solution:simple NN trained on all (3 passes) with logistic regression
p/tlen   2016-05-30 19:40
submitted a solution:simple NN trained on all (3 passes)
p/tlen   2016-05-30 10:41
submitted a solution:simple NN train on all
p/tlen   2016-05-30 07:48
submitted a solution:simple NN trained on 1M utterances
p/tlen   2016-05-30 07:46
submitted a solution:simple NN with 1M utterances
p/tlen   2016-05-29 20:09
submitted a solution:skeleton for NN solutions
nozdi   2016-05-25 06:51
submitted a solution:Doc2vec + 50k words + LR
nozdi   2016-05-24 19:09
submitted a solution:Doc2vec + LR
asdf   2016-05-24 17:13
submitted a solution:lemma + nozdi naive bayes
Marek   2016-05-24 11:55
submitted a solution:klon rozwiazania Mateusza + RandomForestClassifier
nozdi   2016-05-23 19:11
submitted a solution:Logistic Regression + Hashing Vectorizer - in memory
nozdi   2016-05-23 18:19
submitted a solution:ANN + 3gram + hashing vectorizer
Jacek   2016-05-23 16:04
submitted a solution:Another 100k sample with RandomForestClassifier
Katarzyna   2016-05-23 13:20
submitted a solution:more iterations + randomized start
Marta   2016-05-23 04:15
submitted a solution:nozdi Naive Bayes + Tfidf + swear words + emoticons
Marta   2016-05-22 13:15
submitted a solution:nozdi Naive Bayes + Tfidf + swear words + emoticons v2
Marek   2016-05-20 18:58
Zainstalowałem numpy+mkl. Teraz zmagam się z Memory Error. Wystarczy dodać parę GB RAMu?
Jacek   2016-05-18 20:07
submitted a solution:100k sample TFIDF + RFC
Jacek   2016-05-18 18:21
submitted a solution:100k sample CV + RFC
Jacek   2016-05-18 14:16
submitted a solution:1mln sample with RandomForestClassifier
Marek   2016-05-17 20:34
Jak otworzyć rozwiazanie jak już uda mi sie zainstalowac numpy_mkl?
Marta   2016-05-17 05:14
submitted a solution:nozdi Naive Bayes + Tfidf + swear words + emoticons
Jacek   2016-05-16 21:54
submitted a solution:400k sample RandomTreeClassifier
Jacek   2016-05-16 19:44
submitted a solution:200k sample size with RandomForestClassifier
Jacek   2016-05-16 16:08
submitted a solution:100k samle with RandomForestClassifier
p/tlen   2016-05-15 18:31
submitted a solution:VW tokens + 3-gram LM (+fix for the latest grep)
Maxi   2016-05-14 14:55
submitted a solution:Added naive_bayes.py
Maxi   2016-05-14 14:44
submitted a solution:char ngrams, sample train on 100k
Katarzyna   2016-05-09 16:36
submitted a solution:Logistic regression (partial fit, iter_n=1, alpha=0.00005)
Katarzyna   2016-05-09 16:06
submitted a solution:Logistic regression (partial fit, iter_n=5)
p/tlen   2016-05-09 15:56
Jak jest "Memory error" to: (1) za mało pamięci (2) wyłączyć generowanie statystyk
Katarzyna   2016-05-08 21:35
submitted a solution:Logistic regression (partial fit)
Katarzyna   2016-05-08 21:28
submitted a solution:Logistic regression (partial fit)
Marta   2016-05-07 21:24
submitted a solution:nozdi Naive Bayes + Tfidf
nozdi   2016-05-04 19:04
submitted a solution:Ensemble Multinomial NB+ BernoulliNB
p/tlen   2016-05-03 20:28
Now you can write a comment here :)
nozdi   2016-04-23 12:29
submitted a solution:Naive bayes
nozdi   2016-04-23 09:10
submitted a solution:Naive bayes
nozdi   2016-04-23 08:43
submitted a solution:Naive bayes
nozdi   2016-04-22 09:21
submitted a solution:Naive bayes with stop words
nozdi   2016-04-20 06:55
submitted a solution:Naive bayes
nozdi   2016-04-19 17:57
submitted a solution:Naive bayes
p/tlen   2016-03-24 22:01
submitted a solution:Vowpal Wabbit -nn 6 on morphosyntactic tags
p/tlen   2016-03-24 21:40
submitted a solution:6-gram LM on morphosyntactic tags
p/tlen   2016-03-24 21:21
submitted a solution:6-gram LM on morphosyntactic tags
p/tlen   2016-02-20 12:48
submitted a solution:VW tokens + 3-gram LM
p/tlen   2016-02-19 21:30
submitted a solution:3-gram language model
p/tlen   2016-02-19 20:28
submitted a solution:VW tokens + 300 V2W classes
p/tlen   2016-02-19 13:15
submitted a solution:VW tokens + 5-suffixes + NN
p/tlen   2016-02-19 07:51
submitted a solution:VW tokens + 5-prefixes + NN
p/tlen   2016-02-18 20:05
submitted a solution:Vowpal Wabbit on tokens only + small NN
p/tlen   2016-02-18 19:53
submitted a solution:Vowpal Wabbit on tokens only
Veal   2016-02-15 18:27
submitted a solution:Fixed source code, added makefile.
Veal   2016-02-15 18:16
submitted a solution:Fixed source code, added makefile.'
Veal   2016-02-15 16:47
submitted a solution:Logistic regression on words, punctuation n-grams, and suffixes.
Veal   2016-02-13 23:09
submitted a solution:Logistic regression on words and punctuation n-grams.
Veal   2016-02-13 23:00
submitted a solution:Logistic regression on words and punctuation n-grams.
Veal   2016-02-12 09:24
submitted a solution:Logistic regression, where features are unique, lowercased words longer than one character,truncated after the 5th if necessary.
R.J.   2016-02-12 07:55
submitted a solution:men only baseline
p/tlen   2016-02-11 22:10
submitted a solution:use "leaks"
R.J.   2016-01-08 09:25
submitted a solution:man only baseline
[anonymised]   2015-12-17 08:38
submitted a solution:naive bayes
[anonymised]   2015-12-17 07:34
submitted a solution:pliki zrodlowe w odp. folderach
[anonymised]   2015-12-16 21:17
submitted a solution:Dodane kody zrodlowe
[anonymised]   2015-12-16 21:09
submitted a solution:uhhh, test numer 3
[anonymised]   2015-12-16 18:56
submitted a solution:dominik szczeszynski - proba 2
[anonymised]   2015-12-10 09:08
submitted a solution:Piotr Mizerka kobieta_czy_mezczyzna Naiwny Bayes
Przemysław Nowaczyk   2015-12-10 09:05
submitted a solution:naive bayes by Przemysław Nowaczyk kod zrodlowy i zasoby
[anonymised]   2015-12-10 09:05
submitted a solution:Piotr Mizerka kobieta_czy_mezczyzna Naiwny Bayes
Przemysław Nowaczyk   2015-12-10 08:19
submitted a solution:naive bayes by Przemysław Nowaczyk
[anonymised]   2015-12-10 07:48
submitted a solution:dominik szczeszynski - solution