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

Give the probability that a text in Polish was written by a man. [ver. 2.0.1]

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kaczla   2020-07-02 08:55
submitted a solution:Polish RoBERTa (base), epoch 5, seq_len 512, active dropout
kubapok   2020-06-28 14:33
submitted a solution:unsupervised_men_women_mean_closer
kubapok   2020-06-25 13:10
submitted a solution:unsupervised fix test-a
kubapok   2020-06-25 09:54
submitted a solution:unsupervised
kubapok   2020-06-19 10:51
submitted a solution:pl roberta large active dropout 1 run
kubapok   2020-06-19 10:25
submitted a solution:soften probs roberta large finetunned
kubapok   2020-06-19 09:29
submitted a solution:pl roberta large active dropout avg 12 runs
kaczla   2020-06-15 09:21
submitted a solution:XLM-RoBERTa 1 epoch
kaczla   2020-06-15 06:40
submitted a solution:XLM-R
kubapok   2020-06-14 09:06
submitted a solution:bilstm emb size 300
kaczla   2020-06-13 20:48
submitted a solution:from scratch RoBERTa classifier (only), seq_len=256
kaczla   2020-06-13 20:45
submitted a solution:from scratch RoBERTa MLM + classifier, seq_len=256
kaczla   2020-06-13 18:28
submitted a solution:Polish RoBERTa (base), epoch 5, seq_len 512
kubapok   2020-06-12 21:37
submitted a solution:logistic regression on polish roberta
kubapok   2020-06-12 20:44
submitted a solution:logistic regression on xlm roberta
kubapok   2020-06-12 13:43
submitted a solution:polish roberta finetunned large 3 epochs
kubapok   2020-06-11 21:49
submitted a solution:keras lstm on spe 50k vocab, 5epochs
kubapok   2020-06-10 19:41
submitted a solution:xgb on tfidf
kubapok   2020-06-10 19:34
submitted a solution:fix fasttext standard params
kubapok   2020-06-10 19:22
submitted a solution:fasttext hypertune
kubapok   2020-06-09 14:06
submitted a solution:linearSVM on tfidf
kubapok   2020-06-09 13:19
submitted a solution:logistic regression on polish roberta last layer
kubapok   2020-06-09 10:56
submitted a solution:fasttext 50 epochs
kubapok   2020-06-09 09:56
submitted a solution:fasttext standard
kubapok   2020-06-07 20:55
submitted a solution:xgbclassifier standard params on tfidf
[anonymised]   2020-06-07 12:45
submitted a solution:XGBoost ready-made
[anonymised]   2020-06-07 12:26
submitted a solution:xgboost output
[anonymised]   2020-06-07 12:25
submitted a solution:output
[anonymised]   2020-06-06 21:40
submitted a solution:output
[anonymised]   2020-06-06 19:52
submitted a solution:xgboost output
kubapok   2020-06-06 09:14
submitted a solution:tfidf logistic regression
Ivan Novgorodtsev   2020-06-05 10:17
submitted a solution:svm
Jakub Stefko   2020-06-03 17:39
submitted a solution:2nd
p/tlen   2020-06-03 09:34
submitted a solution:test submission 4
p/tlen   2020-06-03 08:33
submitted a solution:test submission 3
Jakub Stefko   2020-06-02 14:12
submitted a solution:1st
p/tlen   2020-05-30 21:30
submitted a solution:null model
Yevheniia Tsapkova   2020-05-26 11:59
submitted a solution:improved results for probabilities
Yevheniia Tsapkova   2020-05-26 10:00
submitted a solution:probabilities solution
kubapok   2020-05-25 09:49
submitted a solution:polish large roberta finetune 1 epoch (add likelihood)
Damian Litwin   2020-05-24 14:52
submitted a solution:self-made NB with probs ISI-2019-063
Damian Litwin   2020-05-24 14:36
submitted a solution:NB with probs - ISI-2019-063
Mikolaj Bachorz   2020-05-24 14:17
submitted a solution:v5
Damian Litwin   2020-05-24 14:17
submitted a solution:self-made NB with probs - ISI-2019-063
Mikolaj Bachorz   2020-05-24 14:11
submitted a solution:v6
Mikolaj Bachorz   2020-05-24 14:02
submitted a solution:v5
Mikolaj Bachorz   2020-05-24 13:56
submitted a solution:v4
Mikolaj Bachorz   2020-05-24 13:39
submitted a solution:v3
kubapok   2020-05-24 07:57
submitted a solution:Merge branch 'master' of ssh://gonito.net/kubapok/petite-difference-challenge2
p/tlen   2020-05-23 21:29
submitted a solution:null model
Mikolaj Bachorz   2020-05-23 09:50
submitted a solution:v2
Mikolaj Bachorz   2020-05-22 23:04
submitted a solution:v1
Damian Litwin   2020-05-19 14:47
submitted a solution:self-made NB with probs - ISI-2019-063
Damian Litwin   2020-05-18 06:43
submitted a solution:NB with probs - ISI-2019-063
Adam Chrzanowski   2020-05-13 13:24
submitted a solution:small-roberta classifier
Adam Chrzanowski   2020-05-13 13:18
submitted a solution:opis
Adam Chrzanowski   2020-05-13 09:21
submitted a solution:first
kaczla   2020-05-02 12:41
submitted a solution:Classifier with RoBERTa
Artur Nowakowski   2020-04-20 17:14
submitted a solution:fine-tuned RoBERTa classifier (full-train)
Artur Nowakowski   2020-04-18 08:12
submitted a solution:fine-tuned RoBERTa classifier (full-train)
kaczla   2020-04-17 07:00
submitted a solution:fine-tune RoBERTa classifier (train 1M lines in classification) - RoBERTA pretrained for 7 days (5 epochs) on the current corpora
[anonymised]   2019-02-21 22:58
submitted a solution:my brilliant solution
[anonymised]   2019-02-21 15:18
submitted a solution:Michal Mioduszewski - solution
[anonymised]   2019-01-27 16:29
submitted a solution:dampie5 solution v3.5
[anonymised]   2019-01-27 16:25
submitted a solution:dampie5 solution v3.4
[anonymised]   2019-01-27 16:18
submitted a solution:dampie5 solution v3.3
[anonymised]   2019-01-27 15:43
submitted a solution:dampie5 solution v3.2
[anonymised]   2019-01-27 15:36
submitted a solution:dampie5 solution v3.1
[anonymised]   2019-01-27 15:30
submitted a solution:dampie5 solution v3
[anonymised]   2019-01-27 13:51
submitted a solution:asdds
[anonymised]   2019-01-27 13:33
submitted a solution:Blah
[anonymised]   2019-01-27 13:11
submitted a solution:dampie5 solution v2
[anonymised]   2019-01-27 13:01
submitted a solution:Wesja milion7
[anonymised]   2019-01-27 12:50
submitted a solution:Wesja milion6
[anonymised]   2019-01-27 12:46
submitted a solution:Wesja milion5
[anonymised]   2019-01-27 12:31
submitted a solution:Wesja milion4
[anonymised]   2019-01-27 12:10
submitted a solution:Wesja milion3
[anonymised]   2019-01-27 12:06
submitted a solution:Wesja milion2
[anonymised]   2019-01-27 11:23
submitted a solution:Wesja milion
[anonymised]   2019-01-27 09:40
submitted a solution:Test4
[anonymised]   2019-01-27 08:11
submitted a solution:Test
[anonymised]   2019-01-27 08:07
submitted a solution:proba milion nowa
[anonymised]   2019-01-27 07:53
submitted a solution:probamilion
[anonymised]   2019-01-27 07:23
submitted a solution:dodanie zaktualizowanego test.py
[anonymised]   2019-01-27 06:29
submitted a solution:proba4
[anonymised]   2019-01-27 06:21
submitted a solution:test
[anonymised]   2019-01-26 20:26
submitted a solution:zadanie1 proba testA
[anonymised]   2019-01-26 19:51
submitted a solution:dodanie wyniku dla test-A
[anonymised]   2019-01-26 17:54
submitted a solution:rozwiązanie zadania "He Said She Said"
[anonymised]   2019-01-26 17:38
submitted a solution:solution1
[anonymised]   2019-01-26 17:35
submitted a solution:Init_3-zad-1
[anonymised]   2019-01-26 17:33
submitted a solution:Init_2-zad-1
[anonymised]   2019-01-26 17:30
submitted a solution:Init-zad-1
[anonymised]   2019-01-26 17:26
submitted a solution:mk
[anonymised]   2019-01-26 17:12
submitted a solution:kd solution
[anonymised]   2019-01-26 17:04
submitted a solution:s402267 - petite-difference-challenge2
[anonymised]   2019-01-26 17:04
submitted a solution:my solution
[anonymised]   2019-01-26 16:48
submitted a solution:My brilliant solution
[anonymised]   2019-01-26 16:47
submitted a solution:xx
[anonymised]   2019-01-26 16:44
submitted a solution:My brilliant solution
[anonymised]   2019-01-26 16:44
submitted a solution:my brilliant solution2
[anonymised]   2019-01-26 16:44
submitted a solution:my briliant solution
[anonymised]   2019-01-26 16:43
submitted a solution:my first soution .py
[anonymised]   2019-01-26 16:43
submitted a solution:my brilliant solution
[anonymised]   2019-01-26 16:40
submitted a solution:my first soution
[anonymised]   2019-01-26 16:39
submitted a solution:DODAŁAM TUTAJ MOJE ZADANIE ZROBIONE
[anonymised]   2019-01-26 16:31
submitted a solution:dssdd
[anonymised]   2019-01-26 16:26
submitted a solution:init
[anonymised]   2019-01-26 16:23
submitted a solution:dodanie plikow wynikowych oraz skryptu
[anonymised]   2019-01-26 16:15
submitted a solution:adding solution
[anonymised]   2019-01-26 16:14
submitted a solution:My brilliant solution
[anonymised]   2019-01-03 11:37
submitted a solution:brylantowe rozwiazanie2
[anonymised]   2019-01-03 11:31
submitted a solution:brylantowe rozwiazanie
[anonymised]   2018-12-21 12:40
submitted a solution:fixed missing result
[anonymised]   2018-12-21 12:32
submitted a solution:added ML binary NB solution
[anonymised]   2018-12-11 22:32
submitted a solution:initial version with training limit on 1m
[anonymised]   2018-11-29 10:07
submitted a solution:LinearSVC dev-0 dev-1 test-A - read submission_info.md
[anonymised]   2018-11-27 13:13
submitted a solution:LinearSVC dev-0 dev-1 test-A
[anonymised]   2018-11-27 12:49
submitted a solution:work on files stripped from CR bytes (only locally - commiting only results)
[anonymised]   2018-11-27 10:47
submitted a solution:fix len
[anonymised]   2018-11-27 10:44
submitted a solution:LinearSVC test solution
[anonymised]   2018-05-24 13:36
submitted a solution:my brilliant solution
[anonymised]   2018-05-22 14:09
submitted a solution:change dev/test
[anonymised]   2018-05-22 14:05
submitted a solution:bla bal
[anonymised]   2018-05-22 13:56
submitted a solution:my brilliant solution
[anonymised]   2018-05-22 12:59
submitted a solution:my brilliant solution naive bayes
[anonymised]   2018-05-20 22:12
submitted a solution:naive
[anonymised]   2018-05-20 21:58
submitted a solution:'bayes'
[anonymised]   2018-05-20 18:11
submitted a solution:naive bayes 2
[anonymised]   2018-05-20 17:04
submitted a solution:naive bayes
[anonymised]   2018-05-20 16:36
submitted a solution:Zadanie 7
[anonymised]   2018-05-20 15:57
submitted a solution:naive bayes
[anonymised]   2018-05-20 14:38
submitted a solution:my solution
[anonymised]   2018-05-18 08:55
submitted a solution:NaiveBays
[anonymised]   2018-05-18 08:53
submitted a solution:naive_bayes
[anonymised]   2018-05-18 08:32
submitted a solution:my solution -nb
[anonymised]   2018-05-18 08:29
submitted a solution:NaiveBayse
[anonymised]   2018-05-18 07:44
submitted a solution:naive bayes
[anonymised]   2018-05-17 15:52
submitted a solution:polecenia
[anonymised]   2018-05-17 15:51
submitted a solution:my brilliant solution
[anonymised]   2018-05-17 15:46
submitted a solution:my brilliant solution
[anonymised]   2018-05-15 19:19
submitted a solution:Naive Bayes solution
[anonymised]   2018-05-15 15:17
submitted a solution:UMZ homerwork - naive bayes
[anonymised]   2018-05-15 14:47
submitted a solution:my brilliant solution
[anonymised]   2018-05-15 14:40
submitted a solution:Naive Bayes
[anonymised]   2018-05-11 14:18
submitted a solution:my brilliant solution
[anonymised]   2018-05-11 13:59
submitted a solution:my brilliant solution
[anonymised]   2018-05-11 13:51
submitted a solution:my brilliant solution
[anonymised]   2018-05-11 13:05
submitted a solution:my brilliant solution
[anonymised]   2018-02-13 21:16
submitted a solution:naive-bayes
[anonymised]   2018-02-13 20:14
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-12 23:45
submitted a solution:check
[anonymised]   2018-02-12 23:28
submitted a solution:check
[anonymised]   2018-02-12 23:23
submitted a solution:check
[anonymised]   2018-02-12 22:59
submitted a solution:check
[anonymised]   2018-02-06 23:17
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 22:59
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 22:33
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 22:06
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 21:09
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 21:05
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 21:01
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 20:46
submitted a solution:logistic-regression ready-made
[anonymised]   2018-02-06 20:41
submitted a solution:logistic-regression ready-made
[anonymised]   2018-01-30 19:34
submitted a solution:regr
[anonymised]   2018-01-30 19:31
submitted a solution:naibe bayss
[anonymised]   2018-01-30 19:26
submitted a solution:naibe bays
[anonymised]   2018-01-29 16:12
submitted a solution:regression ready make
[anonymised]   2018-01-19 08:25
submitted a solution:zadanie 008 z kodem programu v1.3
[anonymised]   2018-01-18 20:49
submitted a solution:zadanie 008 z kodem programu
[anonymised]   2018-01-14 14:00
submitted a solution:Add code Task 5.
[anonymised]   2018-01-13 20:28
submitted a solution:regresja logistyczna
[anonymised]   2018-01-09 12:59
submitted a solution:KenLM
[anonymised]   2018-01-08 17:50
submitted a solution:fix
[anonymised]   2018-01-08 17:29
submitted a solution:fix
[anonymised]   2018-01-07 18:48
submitted a solution:nb_ready
[anonymised]   2018-01-07 17:48
submitted a solution:logreg_ready
[anonymised]   2018-01-07 10:16
submitted a solution:logreg_ready
[anonymised]   2018-01-07 10:13
submitted a solution:logreg_ready
[anonymised]   2018-01-07 10:08
submitted a solution:solution1
[anonymised]   2018-01-06 12:30
submitted a solution:naive bayes przy uzyciu wektorow czestosci slow
kaczla   2018-01-04 19:25
submitted a solution:LSTM
kaczla   2018-01-04 19:12
submitted a solution:KenLM
[anonymised]   2017-12-30 21:40
submitted a solution:Done self-made
[anonymised]   2017-12-30 21:29
submitted a solution:Poprawilem zgodnosc linii
[anonymised]   2017-12-29 08:48
submitted a solution:Gotowe
[anonymised]   2017-12-23 12:58
submitted a solution:naive bayes przegenerowano test-A/out.tsv dla wiekszego slownika czestosci slow
[anonymised]   2017-12-23 12:54
submitted a solution:naive bayes przegenerowano test-A/out.tsv dla wiekszego slownika czestosci slow
[anonymised]   2017-12-23 12:51
submitted a solution:naive bayes poprawiony out.tsv w test-A
[anonymised]   2017-12-23 12:43
submitted a solution:naive bayes
[anonymised]   2017-12-20 20:48
submitted a solution:correct path
[anonymised]   2017-12-20 20:46
submitted a solution:logistic-regression ready-made
[anonymised]   2017-12-20 10:57
submitted a solution:my brilliant solution
[anonymised]   2017-12-17 16:50
submitted a solution:Naive bayes
[anonymised]   2017-12-17 16:41
submitted a solution:Naive bayes
[anonymised]   2017-12-17 15:44
submitted a solution:naive-bayes
[anonymised]   2017-12-17 15:33
submitted a solution:naive bayes
[anonymised]   2017-12-16 13:18
submitted a solution:Logistic regression, ready-made
[anonymised]   2017-12-16 12:08
submitted a solution:Naive Bayes
[anonymised]   2017-12-14 23:47
submitted a solution:test commit 2
[anonymised]   2017-12-14 23:43
submitted a solution:test commit 2
Paweł Skórzewski   2017-12-11 13:39
submitted a solution:Word2Vec + logistic regression (fix newlines)
Paweł Skórzewski   2017-12-11 13:10
submitted a solution:Word2Vec + logistic regression
[anonymised]   2017-12-06 22:52
submitted a solution:TF-IDF - logistic regression
[anonymised]   2017-12-06 22:46
submitted a solution:TF-IDF - logistic regression
[anonymised]   2017-12-06 09:56
submitted a solution:Word2Vec on 200k words
[anonymised]   2017-12-05 23:43
submitted a solution:Logistic word2vec
[anonymised]   2017-12-05 23:30
submitted a solution:naive bayes with word2Vec
[anonymised]   2017-12-05 23:03
submitted a solution:old fashioned word2vec
[anonymised]   2017-12-05 22:56
submitted a solution:It being wasted
[anonymised]   2017-12-05 22:37
submitted a solution:Bigger word2vec model
[anonymised]   2017-12-05 20:33
submitted a solution:Test with bigger train model
[anonymised]   2017-12-05 20:11
submitted a solution:Attempt with small train and trained word2Vec models
[anonymised]   2017-12-03 22:17
submitted a solution:Add working app.py file
[anonymised]   2017-12-03 21:43
submitted a solution:05 naive bayes v1
kaczla   2017-12-03 20:31
submitted a solution:Naive Bayes
[anonymised]   2017-12-03 19:32
submitted a solution:Logistic regression, ready-made
[anonymised]   2017-12-03 18:39
submitted a solution:naive bayes
[anonymised]   2017-12-03 18:34
submitted a solution:logistic regresion still M
[anonymised]   2017-12-03 18:19
submitted a solution:logistic regresion
[anonymised]   2017-12-03 16:29
submitted a solution:lm
[anonymised]   2017-12-03 16:18
submitted a solution:Logistic regression
[anonymised]   2017-12-03 16:05
submitted a solution:test
[anonymised]   2017-12-03 14:13
submitted a solution:Naive Bayes
[anonymised]   2017-12-03 13:48
submitted a solution:LogReg
[anonymised]   2017-12-03 13:41
submitted a solution:LogReg
[anonymised]   2017-12-03 10:29
submitted a solution:Task 5.
[anonymised]   2017-12-03 01:59
submitted a solution:Naive Bayes
[anonymised]   2017-12-03 01:13
submitted a solution:Naive Bayes
[anonymised]   2017-12-01 13:44
submitted a solution:Logistic regression, self-made
[anonymised]   2017-11-30 23:11
submitted a solution:word2vec
[anonymised]   2017-11-30 20:23
submitted a solution:naive-bayes
[anonymised]   2017-11-30 19:51
submitted a solution:Logistic regression, self-made
[anonymised]   2017-11-30 19:49
submitted a solution:LogR readymade
[anonymised]   2017-11-30 18:01
submitted a solution:Logistic regression, self-made
[anonymised]   2017-11-30 12:37
submitted a solution:Naive bayes on text length
[anonymised]   2017-11-30 10:34
submitted a solution:G Naive-Bayes
[anonymised]   2017-11-29 14:48
submitted a solution:Attempt with word2vec
[anonymised]   2017-11-26 23:38
submitted a solution:LR
[anonymised]   2017-11-26 23:17
submitted a solution:04b logistic regression ready-made v3
[anonymised]   2017-11-26 23:02
submitted a solution:04b logistic regression ready-made v2
[anonymised]   2017-11-26 22:40
submitted a solution:LR
[anonymised]   2017-11-26 22:35
submitted a solution:Task 4.
[anonymised]   2017-11-26 22:34
submitted a solution:logistic regression from sklearn
[anonymised]   2017-11-26 21:36
submitted a solution:LR test
[anonymised]   2017-11-26 21:20
submitted a solution:Logistic regression
[anonymised]   2017-11-26 21:09
submitted a solution:Logistic regression
[anonymised]   2017-11-26 20:44
submitted a solution:logistic regression test
[anonymised]   2017-11-26 20:02
submitted a solution:Logistic regression self-made python, correct outs file
[anonymised]   2017-11-26 19:46
submitted a solution:Logisitc regression, self made, python
[anonymised]   2017-11-26 19:29
submitted a solution:Logistic regression python
[anonymised]   2017-11-26 19:20
submitted a solution:my bad solution 2
[anonymised]   2017-11-26 19:17
submitted a solution:my bad solution
[anonymised]   2017-11-25 19:29
submitted a solution:test
[anonymised]   2017-11-25 12:20
submitted a solution:Selfmade Logical Regression
[anonymised]   2017-11-24 19:32
submitted a solution:logistic regression
[anonymised]   2017-11-23 20:02
submitted a solution:Self made Logistic Regression
[anonymised]   2017-11-23 18:20
submitted a solution:Linear regression on length
[anonymised]   2017-11-23 18:10
submitted a solution:Logical regression on length
[anonymised]   2017-11-23 17:53
submitted a solution:Logical regression on length
[anonymised]   2017-11-23 17:30
submitted a solution:Logical regression on length
[anonymised]   2017-11-23 17:29
submitted a solution:Logical regression on length
[anonymised]   2017-11-23 17:28
submitted a solution:Logical regression on length
[anonymised]   2017-11-23 15:29
submitted a solution:Logical regression files
[anonymised]   2017-11-20 17:45
submitted a solution:Self made ngrams (ruby)
[anonymised]   2017-11-20 17:06
submitted a solution:Normalized by occurance
[anonymised]   2017-11-20 16:29
submitted a solution:Normalization optimalization
kaczla   2017-11-20 16:16
submitted a solution:Logistic regression
[anonymised]   2017-11-20 16:12
submitted a solution:Trained on entire train
[anonymised]   2017-11-20 15:56
submitted a solution:Remove trash
[anonymised]   2017-11-20 15:52
submitted a solution:Add build model time counter
[anonymised]   2017-11-20 15:48
submitted a solution:Code improvements
[anonymised]   2017-11-20 14:08
submitted a solution:Add helpers
[anonymised]   2017-11-19 23:28
submitted a solution:Scaled
[anonymised]   2017-11-19 23:22
submitted a solution:Self-made ngrams (ruby)
[anonymised]   2017-11-19 22:13
submitted a solution:Self-made ngrams (ruby)
[anonymised]   2017-11-19 21:42
submitted a solution:Scaled to 1000000
[anonymised]   2017-11-19 21:36
submitted a solution:Self made ngrams (ruby) scaled 1 to 10
[anonymised]   2017-11-19 21:22
submitted a solution:Add normalization (ruby ngrams)
[anonymised]   2017-11-19 20:53
submitted a solution:Self made ngrams (ruby)
[anonymised]   2017-11-19 20:47
submitted a solution:Self-made ngrams (ruby)
[anonymised]   2017-11-19 20:40
submitted a solution:Self made n-grams (ruby)
[anonymised]   2017-11-19 20:26
submitted a solution:Commiting splitter
[anonymised]   2017-11-19 20:23
submitted a solution:Self-made ngrams (ruby)
[anonymised]   2017-11-19 20:22
submitted a solution:Self-made ngrams (ruby)
[anonymised]   2017-11-19 16:31
submitted a solution:Self n-grams
[anonymised]   2017-11-19 01:32
submitted a solution:Self made ngrams
[anonymised]   2017-11-19 01:28
submitted a solution:Self made ngrams
[anonymised]   2017-11-19 01:27
submitted a solution:Self made ngrams
[anonymised]   2017-11-19 01:27
submitted a solution:Self made ngrams
[anonymised]   2017-11-19 01:25
submitted a solution:Self made ngrams (ruby)
[anonymised]   2017-11-13 17:27
submitted a solution:Ruby
[anonymised]   2017-06-21 17:05
submitted a solution:keras, tragiczne parametry
[anonymised]   2017-06-12 13:28
submitted a solution:prosty model jezyka, unix, vol8
[anonymised]   2017-06-12 13:25
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #7
[anonymised]   2017-06-12 13:19
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio
[anonymised]   2017-06-12 13:16
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #4 (zakres)
[anonymised]   2017-06-12 13:14
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #3
[anonymised]   2017-06-12 13:12
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #2
[anonymised]   2017-06-12 13:11
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio, test #1
[anonymised]   2017-06-12 13:09
submitted a solution:prosty model jezyka, unix, vol6 - nowe ratio
[anonymised]   2017-06-12 12:56
submitted a solution:prosty model jezyka, vol5, unix
[anonymised]   2017-06-12 12:46
submitted a solution:prosty model jezyka, vol4, unix
[anonymised]   2017-06-12 12:46
submitted a solution:Bernoulli
[anonymised]   2017-06-12 12:44
submitted a solution:prosty model jezyka, vol3, unix
[anonymised]   2017-06-12 12:41
submitted a solution:prosty model jezyka, vol2, unix
[anonymised]   2017-06-12 12:38
submitted a solution:prosty model jezyka, vol1, unix
[anonymised]   2017-06-12 09:31
submitted a solution:Naive Bayes - Bernoulli
[anonymised]   2017-06-11 23:28
submitted a solution:prosty model jezyka v4
[anonymised]   2017-06-11 23:20
submitted a solution:prosty model jezyka v3
[anonymised]   2017-06-11 23:18
submitted a solution:prosty model jezyka v2
[anonymised]   2017-06-11 23:13
submitted a solution:prosty model jezyka v1
p/tlen   2017-06-11 19:34
submitted a solution:CNN, embeddings with more dimensions
p/tlen   2017-06-11 05:26
submitted a solution:simple convolutional network
[anonymised]   2017-06-04 13:45
submitted a solution:lm
[anonymised]   2017-06-04 13:29
submitted a solution:lm
[anonymised]   2017-06-04 11:14
submitted a solution:em
kaczla   2017-05-29 04:25
submitted a solution:LSTM - remove one layer, simple lemmatizer
kaczla   2017-05-27 17:08
submitted a solution:LSTM - remove one layer, simple lemmatizer
kaczla   2017-05-25 19:55
submitted a solution:LSTM - decrease batch_size, 5 RNNs
kaczla   2017-05-24 18:04
submitted a solution:LSTM - decrease batch_size, 3 RNNs
kaczla   2017-05-23 05:32
submitted a solution:LSTM - remove one layer, 3 RNNs
kaczla   2017-05-19 04:25
submitted a solution:LSTM - remove one layer, decrease batch_size, epoch = 2
kaczla   2017-05-18 17:54
submitted a solution:LSTM - remove one layer, decrease batch_size, epoch = 3
kaczla   2017-05-16 10:23
submitted a solution:LSTM - epoch = 3
kaczla   2017-05-15 04:27
submitted a solution:LSTM - decrease batch_size
kaczla   2017-05-15 04:25
submitted a solution:LSTM - decrease batch_size
kaczla   2017-05-15 04:21
submitted a solution:LSTM - remove one layer
[anonymised]   2017-05-14 22:05
submitted a solution:Bpe smalltrain
[anonymised]   2017-05-14 22:02
submitted a solution:Keras smalltrain
kaczla   2017-05-14 15:48
submitted a solution:LSTM - remove one layer
[anonymised]   2017-05-11 20:01
submitted a solution:Trigram hard keywords that occured at least 13 times, when can't decide on hard keywords "F" is assigned, Answers based on hard keywords percentage: dev-0 6%, dev-1 7%, test-A 6%
[anonymised]   2017-05-11 19:54
submitted a solution:Trigram hard keywords that occured at least 13 times, when can't decide on hard keywords naive bayes is used, Answers based on hard keywords percentage: dev-0 6%, dev-1 7%, test-A 6%
[anonymised]   2017-05-11 16:56
submitted a solution:Bigram hard keywords that occured at least 17 times, when can't decide on hard keywords "F" is assigned, Based on hard keywords percentage: dev-0 12%, dev-1 13%, test-A 14%
[anonymised]   2017-05-11 16:42
submitted a solution:Bigram hard keywords that occured at least 17 times, when can't decide on hard keywords naive bayes is used, Based on hard keywords percentage: dev-0 12%, dev-1 13%, test-A 14%
[anonymised]   2017-05-11 14:40
submitted a solution:Bigram hard keywords that occured at least 5 times, when can't decide on hard keywords naive bayes is used, Based on hard keywords percantage: dev-0 59%, dev-1 57%, test-A 56%
[anonymised]   2017-05-11 13:13
submitted a solution:Bigram hard keywords that occured at least 5 times, when can't decide on hard keywords assings "F", Based on hard keywords percantage: dev-0 59%, dev-1 57%, test-A 56%
[anonymised]   2017-05-04 19:08
submitted a solution:1st try
[anonymised]   2017-04-28 17:45
submitted a solution:Hard keywords based solution ver 2. If can't decide based on hard keywords naive bayes is used. Percentage of answers based on keywords: dev-0 10%, dev-1 9%, test-A 8%. Only words with count 3 and bigger are considered in hard keyword based approach.
[anonymised]   2017-04-28 17:26
submitted a solution:Hard keywords based solution ver 1. If can't decide based on hard keywords naive bayes is used. Percentage of answers based on keywords: dev-0 22%, dev-1 19%, test-A 20%
p/tlen   2017-04-25 19:49
submitted a solution:5 RNNs combined
p/tlen   2017-04-24 05:36
submitted a solution:fasttext combined with KenLM
p/tlen   2017-04-23 17:02
submitted a solution:LSTM (by Nozdi)
p/tlen   2017-04-23 10:35
submitted a solution:fasttext word 2-ngrams, 10x buckets, character 3-6-ngrams
p/tlen   2017-04-23 08:15
submitted a solution:fasttext word 2-ngrams, 10x buckets, character 3-6-ngrams
p/tlen   2017-04-23 06:53
submitted a solution:fasttext word 2-ngrams, 10x buckets, character 3-6-ngrams
p/tlen   2017-04-22 20:26
submitted a solution:fasttext with word 2-grams and 10x buckets
p/tlen   2017-04-22 19:42
submitted a solution:fasttext with word 2-grams
p/tlen   2017-04-22 19:34
submitted a solution:fasttext (baseline)
kaczla   2017-04-15 16:18
submitted a solution:Vowpal Wabbit
kaczla   2017-04-10 13:26
submitted a solution:KenLM
kaczla   2017-04-10 13:07
submitted a solution:Vowpal Wabbit
[anonymised]   2017-04-04 15:19
submitted a solution:bayes with simple stemming fix
[anonymised]   2017-04-04 13:48
submitted a solution:bayes with simple stemming
[anonymised]   2017-04-03 21:08
submitted a solution:bayes tf-idf (classic)
[anonymised]   2017-04-03 20:54
submitted a solution:dev-0 tf-idf test (big change)
[anonymised]   2017-04-03 20:07
submitted a solution:dev-0 tf-idf test (small change)
[anonymised]   2017-04-01 17:45
submitted a solution:logistic regression 40 epoch
[anonymised]   2017-04-01 13:38
submitted a solution:dev-0 tf-idf test
kaczla   2017-03-31 21:52
submitted a solution:Vowpal Wabbit
[anonymised]   2017-03-31 17:30
submitted a solution:logistic regression 20 epoch
kaczla   2017-03-27 20:29
submitted a solution:Logistic regression
[anonymised]   2017-03-27 20:11
submitted a solution:logistic regression
[anonymised]   2017-03-27 18:29
submitted a solution:logistic regression 10 epoch
[anonymised]   2017-03-27 16:03
submitted a solution:logistic regression 1 epoch
[anonymised]   2017-03-27 13:21
submitted a solution:Regresja
[anonymised]   2017-03-27 13:20
submitted a solution:Regresja
[anonymised]   2017-03-27 13:19
submitted a solution:Regresja
[anonymised]   2017-03-27 13:14
submitted a solution:Regresja
[anonymised]   2017-03-27 13:07
submitted a solution:reg logistyczna 10 epok - shuffle
[anonymised]   2017-03-27 11:08
submitted a solution:without feature engineering, Adaptive Moment Estimation, 49 epoch. discriminative better than generative
[anonymised]   2017-03-27 10:32
submitted a solution:reg logistyczna 10 epok
[anonymised]   2017-03-26 23:22
submitted a solution:reg logistyczna 1 epoka
[anonymised]   2017-03-26 23:17
submitted a solution:reg logistyczna 1 epoka, mały zbiór uczący v2
[anonymised]   2017-03-26 22:51
submitted a solution:reg logistyczna 1 epoka, mały zbiór uczący
[anonymised]   2017-03-23 08:23
submitted a solution:22 epoch, simple SGD with stupid annealing, need to make better SGD, without feature engineering
[anonymised]   2017-03-20 19:43
submitted a solution:Bernoulli Naive Bayes 1
[anonymised]   2017-03-20 16:28
submitted a solution:Logistic Haskell
[anonymised]   2017-03-16 17:27
submitted a solution:bayes + tf_idf
[anonymised]   2017-03-16 12:37
submitted a solution:corrected bayes
[anonymised]   2017-03-15 14:05
submitted a solution:sckit-learn naive bayes
[anonymised]   2017-03-13 08:36
submitted a solution:TurboHaskell 2010 v2
[anonymised]   2017-03-11 15:54
submitted a solution:TurboHaskell 2010
[anonymised]   2017-03-11 03:25
submitted a solution:Test
[anonymised]   2017-03-11 02:59
submitted a solution:Test
[anonymised]   2017-03-11 02:15
submitted a solution:Test
[anonymised]   2017-03-11 01:16
submitted a solution:Test
[anonymised]   2017-03-11 00:44
submitted a solution:Test
[anonymised]   2017-03-11 00:26
submitted a solution:Test
[anonymised]   2017-03-11 00:19
submitted a solution:Test
[anonymised]   2017-03-10 23:48
submitted a solution:Test
[anonymised]   2017-03-09 17:44
submitted a solution:Test
[anonymised]   2017-03-09 17:38
submitted a solution:Naive Bayes
[anonymised]   2017-03-09 17:18
submitted a solution:Test
[anonymised]   2017-03-09 17:03
submitted a solution:Yolo
[anonymised]   2017-03-09 16:23
submitted a solution:Test
[anonymised]   2017-03-09 16:16
submitted a solution:Test
[anonymised]   2017-03-09 15:51
submitted a solution:Test
[anonymised]   2017-03-09 15:24
submitted a solution:Test
[anonymised]   2017-03-09 14:53
submitted a solution:Yolo
[anonymised]   2017-03-09 14:33
submitted a solution:Test
[anonymised]   2017-03-07 02:31
submitted a solution:Haskell na resorach
p/tlen   2017-03-04 10:01
A propos problemu z liczbą wierszy... - http://re-research.pl/pl/post/2017-03-04-00050-anatomia-pliku-tekstowego-2b.html
[anonymised]   2017-03-02 23:49
submitted a solution:I can see that I'll have to teach you how to be villains!
[anonymised]   2017-03-02 23:35
submitted a solution:Throw it at him, not me!
[anonymised]   2017-03-02 23:16
submitted a solution:Back to old corpora
[anonymised]   2017-03-02 23:00
submitted a solution:Change of preprocessing
[anonymised]   2017-03-02 21:48
submitted a solution:Próba raz dwa czy
[anonymised]   2017-03-02 13:01
submitted a solution:Test
[anonymised]   2017-03-02 12:22
submitted a solution:Yolo
[anonymised]   2017-03-02 12:11
submitted a solution:Yolo
[anonymised]   2017-03-02 12:08
submitted a solution:Yolo
[anonymised]   2017-03-02 11:15
submitted a solution:Now look at this net that I just found; when I say go...
[anonymised]   2017-03-02 10:54
submitted a solution:Now look at this net that I just found
[anonymised]   2017-03-02 10:44
submitted a solution:Now look at this net
[anonymised]   2017-03-02 08:19
submitted a solution:Yolo
[anonymised]   2017-03-02 08:10
submitted a solution:Yolo
[anonymised]   2017-03-01 11:40
submitted a solution:bayes3
[anonymised]   2017-03-01 11:04
submitted a solution:bayes2
[anonymised]   2017-03-01 07:13
submitted a solution:Haskell
[anonymised]   2017-02-28 23:51
submitted a solution:something is no yes :X
[anonymised]   2017-02-28 22:42
submitted a solution:test
[anonymised]   2017-02-28 21:47
submitted a solution:something is no yes :X
[anonymised]   2017-02-28 21:37
submitted a solution:bayes1
[anonymised]   2017-02-28 21:13
submitted a solution:bayes solution1
[anonymised]   2017-02-28 19:32
submitted a solution:naiwen bajesen, changed equation
[anonymised]   2017-02-28 19:19
submitted a solution:naiwen bajesen
kaczla   2017-02-28 18:33
submitted a solution:Rozwiązanie
[anonymised]   2017-02-28 17:06
submitted a solution:Rozwiązanie 3
[anonymised]   2017-02-28 16:44
submitted a solution:Rozwiązanie 2
[anonymised]   2017-02-28 15:35
submitted a solution:Swag
[anonymised]   2017-02-28 15:04
submitted a solution:Yolo
p/tlen   2017-02-28 11:24
Prosze wrzucać też wyniki dla dev-0 i dev-1.
[anonymised]   2017-02-28 10:44
submitted a solution:Yolo
[anonymised]   2017-02-27 23:17
submitted a solution:Rozwiązanie 1
[anonymised]   2017-02-27 17:57
submitted a solution:First
[anonymised]   2017-02-27 17:44
submitted a solution:First
[anonymised]   2017-02-27 17:31
submitted a solution:First
[anonymised]   2017-02-27 17:28
First
[anonymised]   2017-02-27 17:22
submitted a solution:moje rozwiazanie 1
[anonymised]   2017-02-27 16:23
submitted a solution:regexPro
[anonymised]   2017-02-27 16:21
submitted a solution:test
[anonymised]   2017-02-24 08:31
submitted a solution:Simple regexp solution
[anonymised]   2017-02-21 16:58
submitted a solution:test simple solution
p/tlen   2017-01-26 10:08
submitted a solution:KenLM + Vowpal Wabbit
[anonymised]   2017-01-08 20:31
submitted a solution:Punct split v2
[anonymised]   2017-01-08 15:16
submitted a solution:KenLM punctuation.split
[anonymised]   2016-12-27 14:04
submitted a solution:Train LM 3 grams & tokenize
[anonymised]   2016-12-27 14:00
submitted a solution:LM 4grams female
[anonymised]   2016-12-27 13:55
submitted a solution:Train LM improvement
[anonymised]   2016-12-27 13:46
submitted a solution:Train LM improvement
[anonymised]   2016-12-27 10:22
submitted a solution:Kenml devs & train LM & remove punct
[anonymised]   2016-12-27 10:17
submitted a solution:Kenml devs & train LM
[anonymised]   2016-12-27 01:21
submitted a solution:2 w nocy -> wystarczy
[anonymised]   2016-12-27 01:16
submitted a solution:2 w nocy -> wystarczy
[anonymised]   2016-12-27 01:09
submitted a solution:kenml & dict v2
[anonymised]   2016-12-27 00:57
submitted a solution:kenml & dict
[anonymised]   2016-12-27 00:43
submitted a solution:kenml train LM
[anonymised]   2016-12-27 00:39
submitted a solution:kenml v4
[anonymised]   2016-12-27 00:32
submitted a solution:Kenml v3
[anonymised]   2016-12-27 00:19
submitted a solution:Kenml v2
[anonymised]   2016-12-27 00:04
submitted a solution:Kenml v2
[anonymised]   2016-12-26 23:58
submitted a solution:Kenml v2
[anonymised]   2016-12-26 23:54
submitted a solution:Kenml v2
[anonymised]   2016-12-26 23:25
submitted a solution:Kenml v1
[anonymised]   2016-12-07 09:31
submitted a solution:sama
[anonymised]   2016-12-07 09:24
submitted a solution:v2
[anonymised]   2016-12-05 22:38
submitted a solution:extra rules, information about each rule accuracy
[anonymised]   2016-12-05 21:59
submitted a solution:silly mistake in adding stuff twice to out
[anonymised]   2016-12-05 21:50
submitted a solution:Dydlojn zaliczony?
[anonymised]   2016-12-05 00:26
submitted a solution:Womendict ver.3
[anonymised]   2016-12-05 00:03
submitted a solution:Womendict ver.2
[anonymised]   2016-12-04 23:43
submitted a solution:Womendict ver.2
[anonymised]   2016-12-03 23:50
submitted a solution:First submission - Womendict
[anonymised]   2016-12-03 23:35
submitted a solution:First submission - Womendict
[anonymised]   2016-12-03 23:32
submitted a solution:First submission - Womendict
[anonymised]   2016-12-03 23:06
submitted a solution:proste rozwiazanie
[anonymised]   2016-12-03 18:15
submitted a solution:First submission - Womendict
[anonymised]   2016-12-01 12:40
submitted a solution:p3
[anonymised]   2016-12-01 12:36
submitted a solution:2ga proba
[anonymised]   2016-12-01 12:29
submitted a solution:pp
[anonymised]   2016-12-01 02:45
submitted a solution:kenlm first attempt
[anonymised]   2016-11-30 14:38
submitted a solution:Poprawki w ./runD.py
[anonymised]   2016-11-30 13:49
submitted a solution:Push z plikami - wersja słownikowa
[anonymised]   2016-11-30 13:46
submitted a solution:Test plikow
[anonymised]   2016-11-30 10:32
submitted a solution:KenLM z Train'a*
[anonymised]   2016-11-30 10:30
submitted a solution:KenLM z Train'a
[anonymised]   2016-11-30 10:28
submitted a solution:merged v2
[anonymised]   2016-11-30 10:27
submitted a solution:merged v1
[anonymised]   2016-11-30 10:26
submitted a solution:merged Mieszko & Maciej solution
[anonymised]   2016-11-30 09:28
submitted a solution:dict v1
[anonymised]   2016-11-30 09:26
submitted a solution:Słownik na Trainie
[anonymised]   2016-11-28 16:23
submitted a solution:Women - interpunction
[anonymised]   2016-11-28 08:57
submitted a solution:KenLM 3gram
[anonymised]   2016-11-28 07:57
submitted a solution:KenLM 1st Try
[anonymised]   2016-11-26 14:53
submitted a solution:Best On test-A**
[anonymised]   2016-11-26 14:48
submitted a solution:Best on test-A
[anonymised]   2016-11-26 14:35
submitted a solution:Best on devs
[anonymised]   2016-11-26 14:19
submitted a solution:_
[anonymised]   2016-11-26 13:25
submitted a solution:El Dictioannte finallo
[anonymised]   2016-11-26 12:40
submitted a solution:Dic v4 cleaning + tr improve
[anonymised]   2016-11-26 10:50
submitted a solution:Dic v3
[anonymised]   2016-11-25 19:33
submitted a solution:Dictionary version over 9000 small cleaning
[anonymised]   2016-11-25 19:02
submitted a solution:Dictionary version over 9000 dev-1
[anonymised]   2016-11-25 18:58
submitted a solution:Dictionary version over 9000
[anonymised]   2016-11-23 20:08
submitted a solution:Women dictionary v3
[anonymised]   2016-11-23 19:56
submitted a solution:Women dictionary v2
[anonymised]   2016-11-23 19:47
submitted a solution:Women dictionary
[anonymised]   2016-11-23 19:31
submitted a solution:Only men v3
[anonymised]   2016-11-23 17:41
submitted a solution:Only men - bigger dictionary
[anonymised]   2016-11-23 14:06
submitted a solution:words v1
[anonymised]   2016-11-22 23:15
submitted a solution:Dictionary - only women
[anonymised]   2016-11-22 23:07
submitted a solution:"First attempt - dictionary"
[anonymised]   2016-11-22 21:10
submitted a solution:test submition (all F)
[anonymised]   2016-11-22 18:29
submitted a solution:female + male dict
[anonymised]   2016-11-22 18:14
submitted a solution:male + female dict
[anonymised]   2016-11-20 17:14
submitted a solution: add swears
[anonymised]   2016-11-20 17:07
submitted a solution:add swears
[anonymised]   2016-11-20 09:42
submitted a solution:dict v4
[anonymised]   2016-11-19 23:15
submitted a solution:dict v3
[anonymised]   2016-11-19 22:18
submitted a solution:improve dict v2
[anonymised]   2016-11-19 22:13
submitted a solution:improve dict
[anonymised]   2016-11-19 20:07
submitted a solution:Dictionary approach
p/tlen   2016-11-15 09:29
submitted a solution:trivial baseline (only female)