Skeptic vs paranormal subreddits

Classify a reddit as either from Skeptic subreddit or one of the "paranormal" subreddits (Paranormal, UFOs, TheTruthIsHere, Ghosts, ,Glitch-in-the-Matrix, conspiracytheories). [ver. 3.0.0]

# submitter when ver. description dev-0 Recall dev-0 Precision dev-0 F1.0 dev-0 Accuracy dev-0 Likelihood test-A Recall test-A Precision test-A F1.0 test-A Accuracy test-A Likelihood
128 Hellen 2021-02-18 20:19 3.0.0 update + out, final logistic-regression pytorch-nn 0.1479 0.3424 0.2066 0.5979 0.0000 0.1734 0.3730 0.2367 0.5920 0.0000
127 Agata Buszczak 2021-02-17 19:59 3.0.0 paranormal logistic-regression pytorch-nn 0.1495 0.3440 0.2084 0.5981 0.0000 0.1729 0.3706 0.2358 0.5910 0.0000
356 [anonymised] 2021-01-20 09:25 3.0.0 Add result. N/A N/A N/A 0.7124 N/A N/A N/A N/A 0.7217 N/A
355 Mateusz 2021-01-12 18:19 3.0.0 paranormal_or_skeptic_10 logistic-regression pytorch-nn N/A N/A N/A 0.7090 N/A N/A N/A N/A N/A N/A
354 [anonymised] 2020-12-17 18:19 3.0.0 version 1.2 logistic-regression pytorch-nn N/A N/A N/A 0.7124 N/A N/A N/A N/A 0.7217 N/A
353 [anonymised] 2020-12-17 18:04 3.0.0 version 1.1 N/A N/A N/A 0.7124 N/A N/A N/A N/A 0.7217 N/A
352 Wojciech Pakulski 2020-12-17 17:07 3.0.0 Add Logistic Regression logistic-regression pytorch-nn 0.0815 0.3535 0.1324 0.6222 0.0000 N/A N/A N/A N/A N/A
351 [anonymised] 2020-12-17 16:51 3.0.0 tau logistic-regression pytorch-nn N/A N/A N/A 0.7217 N/A N/A N/A N/A N/A N/A
37 Michał Maciaszek 2020-12-17 16:49 3.0.0 test 0.4512 0.6993 0.5485 0.7371 0.5547 0.4596 0.6968 0.5538 0.7298 0.5581
126 [anonymised] 2020-12-16 11:46 3.0.0 working logistic-regression pytorch-nn 0.1468 0.3412 0.2053 0.5977 0.0000 0.1729 0.3714 0.2359 0.5914 0.0000
125 [anonymised] 2020-12-16 10:53 3.0.0 4 iteracje 0.1592 0.3527 0.2194 0.5990 0.0000 0.1691 0.3693 0.2320 0.5914 0.0000
124 [anonymised] 2020-12-16 09:04 3.0.0 Add results. logistic-regression pytorch-nn 0.1452 0.3405 0.2036 0.5979 0.0000 0.1718 0.3725 0.2352 0.5922 0.0000
123 Mat 2020-12-16 08:41 3.0.0 Moje genialne rozwiazanie logistic-regression pytorch-nn 0.0573 0.4496 0.1017 0.6415 0.0000 0.0436 0.4000 0.0787 0.6271 0.0000
122 Mat 2020-12-16 01:33 3.0.0 genialne rozwiazanie 0.0461 0.4886 0.0842 0.6453 0.0000 0.0335 0.4468 0.0623 0.6322 0.0000
69 Eryk Sokołowski 2020-12-15 23:53 3.0.0 tau logistic-regression pytorch-nn 0.7680 0.3919 0.5189 0.4960 0.3902 0.7335 0.4019 0.5193 0.5045 0.3949
121 [anonymised] 2020-12-15 22:36 3.0.0 logreg-v1.0 logistic-regression pytorch-nn 0.4293 0.5864 0.4957 0.6908 0.0000 0.4441 0.5964 0.5091 0.6875 0.0000
36 Michał Maciaszek 2020-12-15 15:35 3.0.0 simple pytorch logistic-regression pytorch-nn 0.4512 0.6993 0.5485 0.7371 0.5547 0.4596 0.6968 0.5538 0.7298 0.5581
120 [anonymised] 2020-06-30 22:44 3.0.0 Upload files to 'test-A' self-made linear-regression gradient-descent 0.2931 0.3195 0.3058 0.5288 0.0000 0.3362 0.5351 0.4129 0.6512 0.0000
119 [anonymised] 2020-06-30 13:43 3.0.0 Upload files to 'test-A' logistic-regression word2vec 0.0740 0.6540 0.1329 0.6584 0.0000 0.5213 0.7055 0.5996 0.7459 0.0000
118 Anna Maduzia 2020-06-23 22:59 3.0.0 svm ready-made svm 0.5959 0.7680 0.6711 0.7932 0.0000 0.6021 0.7685 0.6752 0.7886 0.0000
350 Anna Maduzia 2020-06-23 21:10 3.0.0 svm ready-made svm 0.5959 0.7680 0.6711 0.7932 0.0000 N/A N/A N/A N/A N/A
117 [anonymised] 2020-06-22 16:28 3.0.0 out fix naive-bayes lemmatization 0.0740 0.6540 0.1329 0.6584 0.0000 0.2207 0.6651 0.3315 0.6751 0.0000
349 [anonymised] 2020-06-22 15:09 3.0.0 naive_bayes naive-bayes lemmatization 0.0740 0.6540 0.1329 0.6584 0.0000 N/A N/A N/A 0.0000 N/A
5 s426135 2020-06-15 13:51 3.0.0 docker lstm 0.6854 0.7475 0.7151 0.8067 0.6650 0.7229 0.7618 0.7418 0.8164 0.6750
4 s426135 2020-06-15 09:25 3.0.0 use LSTM, epoch 3 lstm 0.6854 0.7475 0.7151 0.8067 0.6650 0.7229 0.7618 0.7418 0.8164 0.6750
50 Mikolaj Bachorz 2020-06-15 07:50 3.0.0 v73 0.5890 0.5498 0.5687 0.6838 0.5401 0.6346 0.5023 0.5608 0.6372 0.5339
6 s426135 2020-06-14 15:45 3.0.0 use LSTM lstm 0.5820 0.8021 0.6745 0.8012 0.6618 0.5995 0.8056 0.6874 0.8010 0.6680
46 Mikolaj Bachorz 2020-06-14 07:24 3.0.0 v72 0.7192 0.5226 0.6053 0.6681 0.5508 0.7516 0.4927 0.5952 0.6269 0.5423
43 Mikolaj Bachorz 2020-06-13 23:00 3.0.0 v71 0.4882 0.6348 0.5520 0.7195 0.5614 0.5340 0.5270 0.5305 0.6551 0.5476
42 Mikolaj Bachorz 2020-06-12 22:11 3.0.0 v70 0.4882 0.6348 0.5520 0.7195 0.5614 0.5362 0.5280 0.5321 0.6559 0.5478
51 Mikolaj Bachorz 2020-06-12 22:09 3.0.0 v73 0.4786 0.6347 0.5457 0.7179 0.5615 0.5287 0.5270 0.5279 0.6549 0.5319
53 Mikolaj Bachorz 2020-06-12 13:05 3.0.0 v72 0.4786 0.6347 0.5457 0.7179 0.5767 0.5287 0.5270 0.5279 0.6549 0.5273
47 Mikolaj Bachorz 2020-06-11 21:51 3.0.0 Merge remote-tracking branch 'origin/ISI057' into ISI057 0.4855 0.6362 0.5508 0.7197 0.5511 0.5351 0.5270 0.5310 0.6551 0.5392
55 Mikolaj Bachorz 2020-06-11 12:37 3.0.0 Merge remote-tracking branch 'origin/ISI057' into ISI057 0.5386 0.5659 0.5519 0.6904 0.5473 0.5936 0.5047 0.5456 0.6392 0.5221
23 Lukasz Dawydzik 2020-06-10 00:22 3.0.0 improved splitting naive-bayes multinomial baseline 0.6999 0.7239 0.7117 0.7993 0.6001 0.7202 0.7448 0.7323 0.8078 0.6091
116 Bartosz 2020-06-09 20:02 3.0.0 Use Linear Regression V6 self-made linear-regression gradient-descent 0.4695 0.5883 0.5222 0.6959 0.0000 0.4803 0.5953 0.5316 0.6912 0.0000
27 Eryk Sokołowski 2020-06-09 10:58 3.0.0 probability probabilities 0.7605 0.6842 0.7203 0.7910 0.5915 0.7862 0.7106 0.7465 0.8051 0.6062
49 Mikolaj Bachorz 2020-06-09 07:55 3.0.0 v9 0.5209 0.6328 0.5714 0.7234 0.5621 0.5686 0.5340 0.5507 0.6615 0.5339
48 Mikolaj Bachorz 2020-06-09 07:55 3.0.0 Zaktualizuj 'README.md' 0.5209 0.6328 0.5714 0.7234 0.5621 0.5686 0.5340 0.5507 0.6615 0.5339
32 [anonymised] 2020-06-08 16:50 3.0.0 knn tf knn tf 0.2181 0.8605 0.3480 0.7107 0.5640 0.2234 0.8434 0.3532 0.7015 0.5623
70 Lukasz Dawydzik 2020-06-08 14:03 3.0.0 hope it will be better naive-bayes multinomial self-made baseline 0.7647 0.4146 0.5377 0.5345 0.3791 0.7564 0.4301 0.5484 0.5454 0.3863
348 Artur Dylewski 2020-06-08 13:56 3.0.0 ISI01 baseline rule-based N/A N/A N/A 0.6787 N/A N/A N/A N/A 0.6694 N/A
347 Eryk Sokołowski 2020-06-08 11:57 3.0.0 isi 8 naive-bayes self-made stop-words N/A N/A N/A 0.7993 N/A N/A N/A N/A 0.8078 N/A
41 Mikolaj Bachorz 2020-06-08 06:28 3.0.0 v7 0.4882 0.6348 0.5520 0.7195 0.5614 0.5362 0.5280 0.5321 0.6559 0.5478
346 Eryk Sokołowski 2020-06-08 02:57 3.0.0 isi 2 naive-bayes multinomial baseline N/A N/A N/A 0.7993 N/A N/A N/A N/A 0.8026 N/A
39 Yevheniia Tsapkova 2020-06-07 13:54 3.0.0 tf idf solution knn tf-idf 0.1329 0.8921 0.2313 0.6874 0.5571 0.1319 0.9118 0.2305 0.6786 0.5547
19 Dominika 2020-06-05 13:35 3.0.0 last-branch ready-made xgboost 0.4314 0.8164 0.5645 0.7644 0.6214 0.4426 0.8181 0.5744 0.7607 0.6237
115 Lukasz Dawydzik 2020-06-05 11:34 3.0.0 bernouli test naive-bayes bernoulli self-made 0.7931 0.5160 0.6253 0.6635 0.0000 0.7590 0.5311 0.6249 0.6675 0.0000
31 Artur Dylewski 2020-06-03 16:27 3.0.0 ISI52 logistic-regression word2vec 0.6227 0.7107 0.6638 0.7767 0.5771 0.6223 0.7410 0.6765 0.7828 0.5832
56 Michał Maciaszek 2020-06-01 14:58 3.0.0 improved score naive-bayes bernoulli self-made 0.9073 0.5440 0.6802 0.6980 0.5034 0.9074 0.5675 0.6983 0.7139 0.5175
114 Javier Martinez Jimenez 2020-05-27 17:58 3.0.0 Stupid solution stupid baseline 0.0000 0.0000 0.0000 0.6461 0.0000 0.0000 0.0000 0.0000 0.6351 0.0000
113 Dawid Jurkiewicz 2020-05-27 17:42 3.0.0 Stupid solution stupid baseline 0.0000 0.0000 0.0000 0.6461 0.0000 0.0000 0.0000 0.0000 0.6351 0.0000
65 Yevheniia Tsapkova 2020-05-26 13:19 3.0.0 naive bayes solution with probabilities probabilities 0.8280 0.6165 0.7068 0.7568 0.4643 0.8239 0.6388 0.7196 0.7657 0.4766
112 [anonymised] 2020-05-26 11:07 3.0.0 word2vec logistic-regression word2vec 0.0740 0.6540 0.1329 0.6584 0.0000 0.0952 0.6172 0.1650 0.6483 0.0000
34 [anonymised] 2020-05-18 14:57 3.0.0 knn-tfidf-v5 knn tf-idf 0.3151 0.8497 0.4597 0.7379 0.5603 0.3420 0.8654 0.4903 0.7405 0.5615
26 Michał Maciaszek 2020-05-18 13:56 3.0.0 improved naive-bayes multinomial baseline 0.7605 0.6842 0.7203 0.7910 0.5915 0.7862 0.7106 0.7465 0.8051 0.6062
33 [anonymised] 2020-05-18 13:49 3.0.0 knn-tfidf-v4 knn tf-idf 0.3151 0.8497 0.4597 0.7379 0.5603 0.3420 0.8654 0.4903 0.7405 0.5615
62 [anonymised] 2020-05-18 11:31 3.0.0 knn tf knn tf 0.3751 0.3800 0.3776 0.5622 0.4956 0.3516 0.4030 0.3756 0.5734 0.4960
30 Michał Maciaszek 2020-05-18 08:55 3.0.0 Logistic + word2vec logistic-regression word2vec 0.6211 0.7181 0.6661 0.7796 0.5799 0.6202 0.7498 0.6789 0.7859 0.5863
64 Yevheniia Tsapkova 2020-05-17 18:15 3.0.0 knn with idf knn tf-idf 0.2712 0.3901 0.3199 0.5920 0.4914 0.2484 0.4118 0.3099 0.5963 0.4894
54 [anonymised] 2020-05-17 14:16 3.0.0 knn-tfidf-v2 0.3816 0.8175 0.5203 0.7509 0.5293 0.3931 0.8139 0.5301 0.7457 0.5262
1 kubapok 2020-05-13 15:01 3.0.0 roberta large finetuning 1 epoch fairseq (may be finetuned still) 0.8049 0.8115 0.8082 0.8648 0.7450 0.8117 0.8417 0.8264 0.8756 0.7525
111 Adam Chrzanowski 2020-05-09 23:52 3.0.0 ex1 irstlm 0.7990 0.5442 0.6474 0.6920 0.0000 0.7809 0.5620 0.6536 0.6980 0.0000
45 Mikolaj Bachorz 2020-05-09 22:56 3.0.0 v6 knn word2vec 0.1844 0.6922 0.2912 0.6823 0.5610 0.2926 0.4717 0.3611 0.6223 0.5458
44 Mikolaj Bachorz 2020-05-09 07:09 3.0.0 v5 0.1844 0.6922 0.2912 0.6823 0.5610 0.2926 0.4717 0.3611 0.6223 0.5458
71 Mikolaj Bachorz 2020-05-08 17:33 3.0.0 v4 0.3146 0.6763 0.4294 0.7041 0.5731 0.3952 0.4983 0.4408 0.6341 0.3808
72 Mikolaj Bachorz 2020-05-08 00:23 3.0.0 v31 0.0000 0.0000 0.0000 0.6461 0.4810 0.0000 0.0000 0.0000 0.6351 0.3733
110 Mikolaj Bachorz 2020-05-07 23:49 3.0.0 v3 0.2894 0.6844 0.4068 0.7013 0.5720 0.2441 0.6447 0.3542 0.6751 0.0000
109 Adam Chrzanowski 2020-05-07 21:51 3.0.0 irstlm irstlm 0.0000 0.0000 0.0000 0.6461 0.0000 0.0000 0.0000 0.0000 0.6351 0.0000
2 kubapok 2020-05-07 19:53 3.0.0 roberta base finetuning 1 epoch fairseq 0.7996 0.7970 0.7983 0.8570 0.7281 0.7824 0.8186 0.8001 0.8573 0.7342
108 Mikolaj Bachorz 2020-05-07 18:06 3.0.0 v1 0.1361 0.6563 0.2255 0.6690 0.5553 0.2426 0.4364 0.3118 0.6093 0.0000
107 Mikolaj Bachorz 2020-05-07 17:06 3.0.0 v1 0.1420 0.4898 0.2202 0.6440 0.0000 0.2378 0.3890 0.2951 0.5856 0.0000
106 Antoni 2020-05-04 13:16 3.0.0 linear regression gradient descent self-made linear-regression gradient-descent 0.3628 0.7900 0.4972 0.7403 0.0000 0.3660 0.7845 0.4991 0.7319 0.0000
105 Antoni 2020-05-04 10:42 3.0.0 linear regression gradient descent self-made linear-regression gradient-descent 0.6484 0.4510 0.5320 0.5962 0.0000 0.6612 0.4668 0.5472 0.6007 0.0000
22 Mateusz Mucha 2020-05-04 10:16 3.0.0 Kenlm solution kenlm 0.7867 0.7014 0.7416 0.8060 0.6269 0.7809 0.7340 0.7567 0.8168 0.6194
345 Mateusz Mucha 2020-05-04 10:10 3.0.0 Kenlm solution kenlm 0.7867 0.7007 0.7412 0.8056 0.6247 N/A N/A N/A N/A N/A
21 Mateusz Mucha 2020-05-04 09:53 3.0.0 Kenlm solution kenlm 0.7867 0.7007 0.7412 0.8056 0.0000 0.7809 0.7340 0.7567 0.8168 0.6194
20 Mateusz Mucha 2020-05-04 09:49 3.0.0 Kenlm solution vowpal-wabbit logistic-regression 0.7867 0.7007 0.7412 0.8056 0.0000 0.7809 0.7340 0.7567 0.8168 0.6194
344 Artur Dylewski 2020-05-02 17:28 3.0.0 naive bayes naive-bayes multinomial baseline N/A N/A N/A 0.7559 N/A N/A N/A N/A 0.7717 N/A
104 Bartosz 2020-05-02 17:27 3.0.0 Prepare self-made naive bayes solution v9 naive-bayes multinomial baseline 0.1415 0.8771 0.2437 0.6891 0.0000 0.1479 0.8742 0.2530 0.6813 0.0000
24 Damian Litwin 2020-04-30 17:45 3.0.0 kenlm language model ISI-2019-039 kenlm 0.8199 0.6812 0.7442 0.8005 0.6024 0.8282 0.7036 0.7608 0.8100 0.6087
40 Jakub 452101 2020-04-30 14:54 3.0.0 ISI-39, KenLM, 5-gram kenlm 0.2138 0.9215 0.3471 0.7153 0.5500 0.2569 0.9415 0.4037 0.7230 0.5536
103 Antoni 2020-04-29 17:08 3.0.0 naive-bayes solution naive-bayes multinomial baseline 0.8783 0.6079 0.7185 0.7564 0.0000 0.8851 0.6383 0.7417 0.7750 0.0000
102 Antoni 2020-04-29 08:48 3.0.0 naive-bayes solution naive-bayes multinomial baseline 0.0793 0.9136 0.1460 0.6715 0.0000 0.0734 0.8679 0.1354 0.6578 0.0000
101 Antoni 2020-04-29 08:40 3.0.0 naive-bayes solution naive-bayes multinomial baseline 0.0798 0.9085 0.1468 0.6715 0.0000 0.0713 0.8758 0.1318 0.6574 0.0000
100 Antoni 2020-04-29 08:34 3.0.0 naive-bayes solution v8 naive-bayes multinomial baseline 0.8580 0.3466 0.4938 0.3773 0.0000 0.8697 0.3571 0.5063 0.3812 0.0000
68 Eryk Sokołowski 2020-04-28 22:22 3.0.0 result improvement naive-bayes self-made stop-words 0.3805 0.3745 0.3775 0.5558 0.3933 0.3739 0.3906 0.3821 0.5586 0.3953
343 Eryk Sokołowski 2020-04-28 22:20 3.0.0 result improvement naive-bayes multinomial baseline N/A N/A N/A 0.5643 N/A N/A N/A N/A 0.5683 N/A
66 Michał Maciaszek 2020-04-27 19:22 3.0.0 bernouli naive-bayes bernoulli self-made 0.7353 0.4657 0.5702 0.6077 0.4304 0.7500 0.4876 0.5909 0.6211 0.4406
342 Adam Kwiatkowski 2020-04-27 15:50 3.0.0 use linear regression self-made linear-regression gradient-descent self-made linear-regression gradient-descent N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
341 Adam Kwiatkowski 2020-04-27 15:42 3.0.0 Prepare self-made naive bayes solution naive-bayes multinomial baseline N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
99 [anonymised] 2020-04-27 14:59 3.0.0 return probabilities probabilities 0.7776 0.6857 0.7288 0.7951 0.0000 0.7713 0.7101 0.7394 0.8016 0.0000
8 Szymon Grad 2020-04-27 14:45 3.0.0 first test vowpal vowpal-wabbit logistic-regression hyperparam 0.6420 0.7815 0.7049 0.8097 0.6723 0.6543 0.7775 0.7106 0.8055 0.6621
61 klaganowski 2020-04-27 14:27 3.0.0 Naive Bayes (probabilities) probabilities 0.7680 0.6791 0.7208 0.7895 0.5055 0.7777 0.6992 0.7363 0.7968 0.5056
60 klaganowski 2020-04-27 14:21 3.0.0 Naive Bayes naive-bayes baseline rule-based 0.7680 0.6791 0.7208 0.7895 0.5055 0.7777 0.6992 0.7363 0.7968 0.5056
73 klaganowski 2020-04-27 14:14 3.0.0 Naive Bayes naive-bayes baseline rule-based 0.2320 0.1369 0.1722 0.2105 0.2678 0.2223 0.1366 0.1692 0.2032 0.2651
12 s426135 2020-04-27 12:25 3.0.0 Bigrams, lemas, words vowpal-wabbit logistic-regression 0.5997 0.7765 0.6767 0.7972 0.6572 0.6117 0.7893 0.6892 0.7987 0.6534
15 s426135 2020-04-27 10:23 3.0.0 Using bigrams; clear text; more passes vowpal-wabbit logistic-regression 0.5841 0.7528 0.6578 0.7849 0.6450 0.6106 0.7804 0.6852 0.7952 0.6484
14 s426135 2020-04-27 10:16 3.0.0 Using bigrams; clear text vowpal-wabbit logistic-regression 0.5841 0.7528 0.6578 0.7849 0.6450 0.6106 0.7804 0.6852 0.7952 0.6484
98 s426135 2020-04-27 10:04 3.0.0 Using bigrams vowpal-wabbit logistic-regression 0.5836 0.7495 0.6562 0.7836 0.6440 0.6069 0.7751 0.6808 0.7923 0.0000
9 s426135 2020-04-27 09:42 3.0.0 First vowpal wabit vowpal-wabbit logistic-regression 0.6222 0.7750 0.6902 0.8024 0.6661 0.6394 0.7872 0.7056 0.8053 0.6599
17 Mikolaj Bachorz 2020-04-27 04:03 3.0.0 v2 probabilities 0.6742 0.7528 0.7113 0.8063 0.6556 0.6846 0.7483 0.7150 0.8009 0.6482
16 Mikolaj Bachorz 2020-04-27 03:14 3.0.0 v1 0.6742 0.7528 0.7113 0.8063 0.6556 0.6846 0.7483 0.7150 0.8009 0.6482
13 Adam Chrzanowski 2020-04-26 23:10 3.0.0 36 vowpal-wabbit logistic-regression 0.8290 0.6594 0.7346 0.7879 0.6483 0.8351 0.6947 0.7585 0.8059 0.6514
59 Michał Maciaszek 2020-04-26 22:16 3.0.0 numeric scores naive-bayes multinomial baseline 0.7390 0.4664 0.5718 0.6083 0.5023 0.7505 0.4874 0.5910 0.6209 0.5077
67 Michał Maciaszek 2020-04-26 18:56 3.0.0 test 0.7390 0.4664 0.5718 0.6083 0.4309 0.7505 0.4874 0.5910 0.6209 0.4404
97 Michał Maciaszek 2020-04-26 16:50 3.0.0 score increased slightly(numbers) 0.7390 0.4664 0.5718 0.6083 0.0000 0.7505 0.4874 0.5910 0.6209 0.0000
11 Mateusz Mucha 2020-04-26 14:07 3.0.0 Vowpal wabbit hyperparam change vowpal-wabbit logistic-regression hyperparam 0.6190 0.7710 0.6867 0.8001 0.6602 0.6319 0.7984 0.7055 0.8075 0.6580
38 [anonymised] 2020-04-26 13:44 3.0.0 likelihood probabilities 0.8087 0.6561 0.7244 0.7822 0.5514 0.8027 0.6803 0.7365 0.7904 0.5569
57 [anonymised] 2020-04-26 12:05 3.0.0 likelihood v2 0.8065 0.6575 0.7244 0.7828 0.5102 0.8000 0.6830 0.7369 0.7915 0.5155
58 [anonymised] 2020-04-26 10:57 3.0.0 likelihood 0.8065 0.6575 0.7244 0.7828 0.5102 0.8000 0.6830 0.7369 0.7915 0.5140
96 Szymon Grad 2020-04-25 14:58 3.0.0 test10 probability 0.0000 0.0000 0.0000 0.6461 0.0000 0.0000 0.0000 0.0000 0.6351 0.0000
95 Szymon Grad 2020-04-25 13:39 3.0.0 test10 probability 1.0000 0.3539 0.5228 0.3539 0.0000 0.2154 0.1343 0.1654 0.2069 0.0000
94 Szymon Grad 2020-04-25 13:33 3.0.0 test9 probability 1.0000 0.3539 0.5228 0.3539 0.0000 0.2154 0.1343 0.1654 0.2069 0.0000
93 Szymon Grad 2020-04-25 12:18 3.0.0 test8 probability 1.0000 0.3539 0.5228 0.3539 0.0000 N/A N/A N/A 0.5072 0.0000
92 Szymon Grad 2020-04-25 11:58 3.0.0 test6 probability 1.0000 0.3539 0.5228 0.3539 0.0000 0.0000 0.0000 0.0000 0.6351 0.0000
91 Szymon Grad 2020-04-25 11:52 3.0.0 test6 probability 1.0000 0.3539 0.5228 0.3539 0.0000 0.7846 0.6905 0.7346 0.7931 0.0000
90 Szymon Grad 2020-04-25 11:47 3.0.0 test5 probability 1.0000 0.3539 0.5228 0.3539 0.0000 1.0000 0.3649 0.5347 0.3649 0.0000
28 Patryk Dolata 2020-04-25 10:28 3.0.0 bayes prob probabilities 0.7605 0.6839 0.7201 0.7908 0.5913 0.7846 0.7068 0.7436 0.8026 0.6035
10 Jakub 452101 2020-04-23 08:32 3.0.0 ISI-33, probabilities probabilities 0.6554 0.7677 0.7071 0.8079 0.6760 0.6729 0.7718 0.7190 0.8080 0.6586
3 Nikodem Pachala 2020-04-22 23:10 3.0.0 Sklearn Logistic regression 1-3gram 1000iter probabilities 0.6710 0.7762 0.7197 0.8151 0.6707 0.7011 0.7855 0.7409 0.8210 0.6767
29 Mikolaj Bachorz 2020-04-22 06:15 3.0.0 initial commit 0.7438 0.7129 0.7280 0.8033 0.5842 0.7729 0.7200 0.7455 0.8075 0.5895
63 Mikolaj Bachorz 2020-04-22 05:52 3.0.0 initial commit 0.2562 0.1438 0.1842 0.1967 0.4930 0.2271 0.1362 0.1703 0.1925 0.4931
18 Damian Litwin 2020-04-21 21:22 3.0.0 NB sklearn with probo probabilities 0.3607 0.8673 0.5095 0.7542 0.6306 0.3856 0.8610 0.5327 0.7531 0.6297
25 Dawid Majsnerowski 2020-04-21 16:44 3.0.0 Add Likelihood to ready made NB probabilities 0.7546 0.6882 0.7198 0.7921 0.6011 0.7479 0.7173 0.7323 0.8005 0.6074
89 Michał Maciaszek 2020-04-21 12:59 3.0.0 improved score naive-bayes multinomial baseline 0.0038 0.7000 0.0075 0.6468 0.0000 0.0064 0.8000 0.0127 0.6368 0.0000
340 Michał Maciaszek 2020-04-21 11:48 3.0.0 improved score N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
88 Antoni 2020-04-21 08:58 3.0.0 naive-bayes solution v7 naive-bayes multinomial baseline 0.0857 0.5351 0.1478 0.6500 0.0000 0.1043 0.5851 0.1770 0.6462 0.0000
87 Antoni 2020-04-21 08:55 3.0.0 naive-bayes solution v6 naive-bayes multinomial baseline 0.0863 0.5210 0.1480 0.6485 0.0000 0.0957 0.5556 0.1633 0.6421 0.0000
86 Antoni 2020-04-21 08:53 3.0.0 naive-bayes solution v5 naive-bayes multinomial baseline 0.0841 0.4046 0.1393 0.6320 0.0000 0.0963 0.4436 0.1582 0.6262 0.0000
85 Antoni 2020-04-21 08:50 3.0.0 naive-bayes solution naive-bayes multinomial baseline 0.0922 0.4550 0.1533 0.6396 0.0000 0.1011 0.4872 0.1674 0.6332 0.0000
84 Antoni 2020-04-21 08:44 3.0.0 naive-bayes solution naive-bayes multinomial baseline 0.0906 0.5298 0.1547 0.6497 0.0000 0.1101 0.5847 0.1853 0.6467 0.0000
83 Antoni 2020-04-21 08:38 3.0.0 naive-bayes solution naive-bayes multinomial baseline 0.0938 0.5208 0.1589 0.6487 0.0000 0.1059 0.5785 0.1790 0.6456 0.0000
82 Antoni 2020-04-21 08:34 3.0.0 naive-bayes solution v3 naive-bayes multinomial baseline 0.0852 0.1803 0.1157 0.5391 0.0000 0.0856 0.1912 0.1183 0.5342 0.0000
81 Antoni 2020-04-21 08:00 3.0.0 naive-bayes solution naive-bayes multinomial baseline 0.0911 0.3421 0.1439 0.6163 0.0000 0.0883 0.3437 0.1405 0.6058 0.0000
80 Dominika 2020-04-21 07:47 3.0.0 linear self-made linear-regression gradient-descent 0.0890 0.4099 0.1462 0.6322 0.0000 0.1037 0.4710 0.1700 0.6304 0.0000
35 Dominika 2020-04-20 15:46 3.0.0 vw vowpal-wabbit logistic-regression 0.5311 0.8090 0.6412 0.7896 0.5669 0.5239 0.8154 0.6380 0.7830 0.5587
79 Dominika 2020-04-20 13:39 3.0.0 vw logistic regression vowpal-wabbit logistic-regression 0.5311 0.8090 0.6412 0.7896 0.0000 0.5239 0.8154 0.6380 0.7830 0.0000
7 Adam Chrzanowski 2020-04-20 13:34 3.0.0 vowpal-wabbit probabilities 0.8285 0.6775 0.7454 0.7997 0.6660 0.8340 0.7131 0.7688 0.8170 0.6650
52 p/tlen 2020-04-20 13:18 3.0.0 To probabilities null-model baseline 0.0965 0.9231 0.1747 0.6774 0.5311 0.1048 0.8914 0.1875 0.6687 0.5282
339 Anna Maduzia 2020-04-20 13:00 2.0.1 find skeptic and paranormal words-poprawiony naive-bayes data-exploration 0.8280 0.6165 0.7068 0.7568 N/A 0.8239 0.6388 0.7196 0.7657 N/A
338 Anna Maduzia 2020-04-20 12:55 2.0.1 find skeptic and paranormal words N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
337 Adam Chrzanowski 2020-04-19 21:17 2.0.1 vowpal wabbit vowpal-wabbit logistic-regression 0.7615 0.7359 0.7485 0.8189 N/A 0.7622 0.7647 0.7635 0.8276 N/A
336 Hubert Staszek 2020-04-18 17:18 2.0.1 docker standards-preparations N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
78 Eryk Sokołowski 2020-04-18 16:17 3.0.0 most paranormal and skeptic words naive-bayes data-exploration 0.0134 0.0155 0.0144 0.3492 0.0000 0.1367 0.2143 0.1669 0.5021 0.0000
335 Adam Chrzanowski 2020-04-16 21:19 2.0.1 LR GD self-made linear-regression gradient-descent 0.2085 0.8781 0.3369 0.7096 N/A 0.2394 0.8755 0.3759 0.7100 N/A
334 [anonymised] 2020-04-14 18:47 2.0.1 linear-regression self-made linear-regression gradient-descent 0.2931 0.3195 0.3058 0.5288 N/A 0.3920 0.3640 0.3775 0.5281 N/A
333 Artur Dylewski 2020-04-14 12:21 2.0.1 gradient descent ISI13 self-made linear-regression gradient-descent N/A N/A N/A 0.6485 N/A N/A N/A N/A 0.6411 N/A
332 Mateusz Mucha 2020-04-11 14:58 2.0.1 Linear regression with TFIDF solution self-made linear-regression tf-idf 0.3199 0.8361 0.4628 0.7371 N/A 0.3351 0.8583 0.4820 0.7372 N/A
77 Antoni 2020-04-11 14:17 3.0.0 linear regression gradient descent self-made linear-regression gradient-descent 0.4539 0.4616 0.4577 0.6193 0.0000 0.4351 0.4680 0.4509 0.6134 0.0000
331 Antoni 2020-04-10 21:19 2.0.1 linear regression self-made linear-regression gradient-descent 0.2647 0.3706 0.3088 0.5806 N/A 0.2734 0.3960 0.3235 0.5827 N/A
76 klaganowski 2020-04-10 17:20 3.0.0 Linear regression self-made linear-regression gradient-descent 0.0241 0.4455 0.0458 0.6440 0.0000 0.0287 0.4909 0.0543 0.6347 0.0000
330 Antoni 2020-04-10 12:04 2.0.1 linear regression gradient descent self-made linear-regression gradient-descent 0.3687 0.3489 0.3585 0.5330 N/A 0.3505 0.3589 0.3547 0.5345 N/A
329 Lukasz Dawydzik 2020-04-09 09:37 2.0.1 paranormal/sceptic word chart naive-bayes data-exploration N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
328 Lukasz Dawydzik 2020-04-08 16:29 2.0.1 try with different splitting naive-bayes multinomial self-made baseline 0.8183 0.4011 0.5383 0.5032 N/A 0.7973 0.3978 0.5308 0.4856 N/A
327 Lukasz Dawydzik 2020-04-08 16:20 2.0.1 try with different splitting naive-bayes bernoulli self-made 0.8944 0.4687 0.6151 0.6038 N/A 0.8324 0.4350 0.5714 0.5443 N/A
326 Jakub 452101 2020-04-08 10:50 2.0.1 ISI-13, self made, linear regression self-made linear-regression gradient-descent 0.3585 0.8394 0.5024 0.7487 N/A 0.3729 0.8580 0.5198 0.7486 N/A
325 Szymon Grad 2020-04-07 15:50 2.0.1 some fixes self-made linear-regression gradient-descent 0.0021 0.2500 0.0043 0.6445 N/A 0.0181 0.3469 0.0344 0.6293 N/A
324 Jakub 452101 2020-04-06 15:56 2.0.1 ISI-14 LogisticRegression, sklearn ready-made logistic-regression 0.6554 0.7677 0.7071 0.8079 N/A 0.6729 0.7718 0.7190 0.8080 N/A
323 Nikodem Pachala 2020-04-06 12:04 2.0.1 Linear regression higher F1.0 lower accuracy self-made linear-regression gradient-descent 0.4223 0.3512 0.3835 0.5193 N/A 0.4441 0.3664 0.4015 0.5169 N/A
322 Dawid Majsnerowski 2020-04-06 11:50 2.0.1 Linear regression 1M loss counter self-made linear-regression gradient-descent 0.0327 0.3161 0.0593 0.6326 N/A 0.0367 0.3416 0.0663 0.6227 N/A
321 Nikodem Pachala 2020-04-06 11:09 2.0.1 Linear regression first try self-made linear-regression gradient-descent 0.0096 0.2769 0.0186 0.6406 N/A 0.0096 0.2769 0.0185 0.6295 N/A
320 Mateusz Mucha 2020-04-06 10:08 2.0.0 Linear regression solution self-made linear-regression gradient-descent N/A N/A N/A 0.6901 N/A N/A N/A N/A 0.6861 N/A
319 s426135 2020-04-06 08:44 2.0.0 Added liniar regression self-made linear-regression gradient-descent N/A N/A N/A 0.6436 N/A N/A N/A N/A 0.6333 N/A
318 [anonymised] 2020-04-06 07:49 2.0.1 linear-regression-solution self-made linear-regression gradient-descent 0.2433 0.7695 0.3697 0.7064 N/A 0.2665 0.8240 0.4027 0.7116 N/A
317 [anonymised] 2020-04-06 07:48 2.0.0 linear regression solution N/A N/A N/A 0.7064 N/A N/A N/A N/A 0.7116 N/A
316 Mikolaj Bachorz 2020-04-06 05:36 2.0.0 ISI-014-LogisticRegression ready-made logistic-regression N/A N/A N/A 0.8063 N/A N/A N/A N/A 0.8009 N/A
315 Mikolaj Bachorz 2020-04-06 05:35 2.0.0 Merge remote-tracking branch 'origin/ISI014' into ISI014 N/A N/A N/A 0.8063 N/A N/A N/A N/A 0.8009 N/A
314 Mikolaj Bachorz 2020-04-06 04:46 2.0.0 ISI-014-LogisticRegression N/A N/A N/A 0.8063 N/A N/A N/A N/A 0.8009 N/A
313 Dominika 2020-04-04 17:29 2.0.0 linear gradient self-made linear-regression gradient-descent N/A N/A N/A 0.6461 N/A N/A N/A N/A 0.4862 N/A
312 Nikodem Pachala 2020-04-04 17:14 2.0.1 Sklearn naive bayes 1-3 gram version 2.0.0 naive-bayes ready-made 0.6822 0.7819 0.7287 0.8202 N/A 0.6926 0.7820 0.7346 0.8174 N/A
311 Patryk Dolata 2020-04-04 10:43 2.0.0 self-made linear regression self-made linear-regression gradient-descent N/A N/A N/A 0.6453 N/A N/A N/A N/A 0.6365 N/A
310 Adam Chrzanowski 2020-04-03 16:24 2.0.0 ready-made fix naive-bayes ready-made N/A N/A N/A 0.7788 N/A N/A N/A N/A 0.7780 N/A
309 Adam Chrzanowski 2020-04-03 16:18 2.0.0 ready-made naive bayes naive-bayes multinomial N/A N/A N/A 0.8930 N/A N/A N/A N/A 0.7090 N/A
75 Eryk Sokołowski 2020-04-03 09:37 3.0.0 bayes, stopwords v2 naive-bayes self-made stop-words 0.0820 0.0659 0.0730 0.2635 0.0000 0.3207 0.2654 0.2905 0.4282 0.0000
308 Robert 2020-04-02 21:43 2.0.0 Linear self-made linear-regression gradient-descent N/A N/A N/A 0.6461 N/A N/A N/A N/A 0.6357 N/A
307 Lukasz Dawydzik 2020-04-02 14:03 2.0.0 Bernoulli Bayes done naive-bayes bernoulli self-made N/A N/A N/A 0.5744 N/A N/A N/A N/A 0.5130 N/A
306 Mateusz Mucha 2020-04-01 16:56 2.0.0 Locally weighted naive bayes solution naive-bayes self-made locally-weighted N/A N/A N/A 0.7409 N/A N/A N/A N/A 0.7444 N/A
305 Mateusz Mucha 2020-04-01 16:25 2.0.0 Locally weighted naive bayes solution naive-bayes self-made locally-weighted N/A N/A N/A 0.7005 N/A N/A N/A N/A 0.6562 N/A
304 Mateusz Mucha 2020-04-01 16:06 2.0.0 Locally weighted Naive Bayes N/A N/A N/A 0.7005 N/A N/A N/A N/A N/A N/A
74 Szymon Grad 2020-04-01 12:24 3.0.0 another fix 2.0 naive-bayes multinomial self-made baseline 0.7958 0.6656 0.7249 0.7862 0.0000 0.7846 0.6905 0.7346 0.7931 0.0000
303 Anna Maduzia 2020-03-31 20:47 2.0.0 bigram solution naive-bayes self-made feature-engineering bigram N/A N/A N/A 0.6407 N/A N/A N/A N/A 0.6374 N/A
302 Anna Maduzia 2020-03-31 14:13 2.0.0 Solution bigrams N/A N/A N/A 0.6404 N/A N/A N/A N/A 0.6271 N/A
301 Anna Maduzia 2020-03-31 14:10 2.0.0 Bigrams N/A N/A N/A 0.3596 N/A N/A N/A N/A 0.3729 N/A
300 Antoni 2020-03-31 12:33 2.0.0 naive-bayes solution naive-bayes multinomial baseline N/A N/A N/A 0.5607 N/A N/A N/A N/A 0.5571 N/A
299 Antoni 2020-03-31 12:29 2.0.0 naive-bayes solution naive-bayes multinomial baseline N/A N/A N/A 0.5190 N/A N/A N/A N/A 0.5293 N/A
298 Antoni 2020-03-31 12:20 2.0.1 naive-bayes solution naive-bayes multinomial baseline 0.0815 0.2117 0.1176 0.5675 N/A 0.0936 0.2486 0.1360 0.5660 N/A
297 Antoni 2020-03-31 11:32 2.0.0 naive-bayes solution naive-bayes multinomial baseline N/A N/A N/A 0.5154 N/A N/A N/A N/A 0.5132 N/A
296 Antoni 2020-03-31 11:00 2.0.0 naive-bayes first assignment change=change naive-bayes multinomial baseline N/A N/A N/A 0.5116 N/A N/A N/A N/A 0.5085 N/A
295 Artur Dylewski 2020-03-30 21:57 2.0.0 ready made naive bayes naive-bayes ready-made N/A N/A N/A 0.7951 N/A N/A N/A N/A 0.8016 N/A
294 Adam Chrzanowski 2020-03-30 21:55 2.0.0 naive-bayes naive-bayes multinomial baseline N/A N/A N/A 0.6817 N/A N/A N/A N/A 0.6724 N/A
293 KP 2020-03-30 19:03 2.0.0 naive bayes naive-bayes multinomial baseline N/A N/A N/A 0.6447 N/A N/A N/A N/A 0.6368 N/A
292 Adam Chrzanowski 2020-03-30 18:51 2.0.0 rule-based v2.0 baseline rule-based N/A N/A N/A 0.7143 N/A N/A N/A N/A 0.7114 N/A
291 Anna Maduzia 2020-03-30 18:38 2.0.0 Solution bigrams N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
290 Anna Maduzia 2020-03-30 18:12 2.0.0 Bigrams solution-2 N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
289 Anna Maduzia 2020-03-30 18:09 2.0.0 Bigrams solution N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.3643 N/A
288 Szymon Grad 2020-03-30 15:52 1.0.3 2 tokenizers from nltk naive-bayes tokenization N/A N/A N/A 0.7441 N/A N/A N/A N/A 0.7601 N/A
287 klaganowski 2020-03-30 15:45 1.0.3 Bernoulli naive Bayes naive-bayes bernoulli self-made N/A N/A N/A 0.6774 N/A N/A N/A N/A 0.6947 N/A
286 s426135 2020-03-30 15:30 1.0.3 Updated outs naive-bayes self-made feature-engineering bigram N/A N/A N/A 0.6984 N/A N/A N/A N/A 0.6980 N/A
285 s426135 2020-03-30 15:21 1.0.3 Updated outs naive-bayes self-made feature-engineering bigram N/A N/A N/A 0.6904 N/A N/A N/A N/A 0.6951 N/A
284 s426135 2020-03-30 15:15 1.0.3 Updated outs naive-bayes self-made feature-engineering bigram N/A N/A N/A 0.6846 N/A N/A N/A N/A 0.6918 N/A
283 KP 2020-03-30 14:13 1.0.3 simple rule based baseline baseline rule-based N/A N/A N/A 0.7138 N/A N/A N/A N/A 0.7023 N/A
282 s426135 2020-03-30 12:01 1.0.3 Update dev-0/out.tsv naive-bayes self-made feature-engineering bigram N/A N/A N/A 0.6751 N/A N/A N/A N/A 0.6743 N/A
281 s426135 2020-03-30 11:52 1.0.3 Updated with stopwords naive-bayes self-made feature-engineering bigram N/A N/A N/A N/A N/A N/A N/A N/A 0.6743 N/A
280 Mikolaj Bachorz 2020-03-30 05:29 1.0.3 Bigram v2 naive-bayes self-made feature-engineering bigram N/A N/A N/A 0.8033 N/A N/A N/A N/A 0.8075 N/A
279 Mikolaj Bachorz 2020-03-30 02:11 1.0.2 Bigram v1 N/A N/A N/A 0.7453 N/A N/A N/A N/A 0.7504 N/A
278 Michał Maciaszek 2020-03-29 22:14 1.0.2 Bernouli works naive-bayes bernoulli self-made N/A N/A N/A 0.6060 N/A N/A N/A N/A 0.6159 N/A
277 Michał Maciaszek 2020-03-29 20:44 3.0.0 that was my bad, this one is better naive-bayes multinomial baseline N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
276 [anonymised] 2020-03-29 20:31 1.0.2 basic baseline rule-based N/A N/A N/A 0.6461 N/A N/A N/A N/A 0.6351 N/A
275 Artur Dylewski 2020-03-29 20:19 1.0.2 naive bayes naive-bayes multinomial baseline N/A N/A N/A 0.5154 N/A N/A N/A N/A 0.5132 N/A
274 [anonymised] 2020-03-29 20:00 1.0.2 Naive Bayes ready-made naive-bayes ready-made N/A N/A N/A 0.7951 N/A N/A N/A N/A 0.8016 N/A
273 s426135 2020-03-29 17:51 1.0.2 Fixed bigrams a little naive-bayes feature-engineering bigram N/A N/A N/A 0.9736 N/A N/A N/A N/A 0.6648 N/A
272 Artur Dylewski 2020-03-29 14:25 1.0.2 stupid solution baseline rule-based N/A N/A N/A 0.6461 N/A N/A N/A N/A 0.6351 N/A
271 s426135 2020-03-29 12:29 1.0.2 Update bigram with new regex naive-bayes self-made feature-engineering bigram N/A N/A N/A 0.9729 N/A N/A N/A N/A 0.6627 N/A
270 s426135 2020-03-29 11:43 1.0.2 Bigram implemented naive-bayes self-made feature-engineering bigram N/A N/A N/A 0.9717 N/A N/A N/A N/A 0.6601 N/A
269 Jakub 452101 2020-03-28 23:33 1.0.3 ISI-9, ready-made, MultinomialNB naive-bayes ready-made N/A N/A N/A 0.7951 N/A N/A N/A N/A 0.8016 N/A
268 Patryk Dolata 2020-03-28 15:07 1.0.2 bernoulli bayes naive-bayes bernoulli self-made N/A N/A N/A 0.6798 N/A N/A N/A N/A 0.6955 N/A
267 Dawid Majsnerowski 2020-03-28 13:10 1.0.2 New classifier challenge self-made challenge-preparation N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
266 Eryk Sokołowski 2020-03-26 21:04 3.0.0 baseline baseline rule-based N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
265 [anonymised] 2020-03-26 15:06 1.0.2 rule-based baseline rule-based N/A N/A N/A 0.6146 N/A N/A N/A N/A 0.5970 N/A
264 Dominika 2020-03-26 13:51 1.0.2 my-brilliant-branch3 naive-bayes multinomial baseline N/A N/A N/A 0.7549 N/A N/A N/A N/A 0.7688 N/A
263 Dominika 2020-03-26 13:39 1.0.2 spacy naive-bayes tokenization N/A N/A N/A 0.7458 N/A N/A N/A N/A 0.7582 N/A
262 [anonymised] 2020-03-26 13:22 1.0.2 bernoulli naive-bayes bernoulli self-made N/A N/A N/A 0.6730 N/A N/A N/A N/A 0.6885 N/A
261 Dominika 2020-03-26 11:28 1.0.2 tokenizer_nltk naive-bayes tokenization N/A N/A N/A 0.7657 N/A N/A N/A N/A 0.7783 N/A
260 Dawid Majsnerowski 2020-03-25 15:25 1.0.3 Ready made NB naive-bayes ready-made N/A N/A N/A 0.7921 N/A N/A N/A N/A 0.8005 N/A
259 Robert 2020-03-25 00:19 1.0.3 Bigrams naive-bayes self-made feature-engineering bigram N/A N/A N/A 0.8018 N/A N/A N/A N/A 0.8010 N/A
258 Lukasz Dawydzik 2020-03-23 19:58 3.0.0 custom-idea self-made baseline rule-based N/A N/A N/A 0.0000 N/A N/A N/A N/A 0.0000 N/A
257 Yevheniia Tsapkova 2020-03-23 19:58 1.0.2 naive bayes solution naive-bayes multinomial baseline N/A N/A N/A 0.7568 N/A N/A N/A N/A 0.7657 N/A
256 Lukasz Dawydzik 2020-03-23 18:52 1.0.3 naive bayes naive-bayes multinomial self-made baseline N/A N/A N/A 0.5009 N/A N/A N/A N/A 0.4804 N/A
255 Adam Kwiatkowski 2020-03-23 13:13 1.0.2 Naive Bayes with the help of stemmer or lemmatizer (search for read-made one) naive-bayes multinomial lemmatization rule-based N/A N/A N/A 0.8691 N/A N/A N/A N/A 0.7597 N/A
254 Jakub 452101 2020-03-23 12:27 1.0.2 ISI-2 naive bayes, self-made tokenizer naive-bayes multinomial baseline N/A N/A N/A 0.7802 N/A N/A N/A N/A 0.7948 N/A
253 Anna Maduzia 2020-03-22 22:20 1.0.3 self-made naive bayes solution naive-bayes multinomial baseline N/A N/A N/A 0.7568 N/A N/A N/A N/A 0.7657 N/A
252 Hubert Staszek 2020-03-22 21:41 1.0.2 3rd party bayes naive-bayes ready-made N/A N/A N/A 0.8710 N/A N/A N/A N/A 0.6852 N/A
251 Hubert Staszek 2020-03-22 20:51 1.0.2 bayes v1 N/A N/A N/A 0.8710 N/A N/A N/A N/A 0.6838 N/A
250 Adam Kwiatkowski 2020-03-22 20:42 1.0.2 bayes N/A N/A N/A 0.8477 N/A N/A N/A N/A 0.6908 N/A
249 Adam Kwiatkowski 2020-03-22 20:34 1.0.2 bayes N/A N/A N/A 0.8344 N/A N/A N/A N/A 0.6900 N/A
248 Adam Kwiatkowski 2020-03-22 20:31 1.0.2 bayes test 3 N/A N/A N/A 0.8344 N/A N/A N/A N/A 0.6904 N/A
247 Adam Kwiatkowski 2020-03-22 20:24 1.0.2 bayes test 2 naive-bayes baseline N/A N/A N/A 0.8704 N/A N/A N/A N/A 0.6904 N/A
246 s426135 2020-03-22 13:33 1.0.2 Change regexes naive-bayes multinomial baseline N/A N/A N/A 0.9325 N/A N/A N/A N/A 0.5557 N/A
245 s426135 2020-03-22 12:59 1.0.2 old way N/A N/A N/A 0.9057 N/A N/A N/A N/A 0.4903 N/A
244 s426135 2020-03-22 12:35 1.0.2 fix dev N/A N/A N/A 0.8116 N/A N/A N/A N/A 0.3752 N/A
243 s426135 2020-03-22 12:32 1.0.2 little rule base added N/A N/A N/A N/A N/A N/A N/A N/A 0.3752 N/A
242 s426135 2020-03-22 11:58 1.0.2 fix predict.py N/A N/A N/A 0.8164 N/A N/A N/A N/A 0.3562 N/A
241 Nikodem Pachala 2020-03-22 11:34 1.0.3 Sklearn multinomial naive bayes 1-3 gram naive-bayes ready-made N/A N/A N/A 0.8202 N/A N/A N/A N/A 0.8174 N/A
240 s426135 2020-03-22 11:22 1.0.2 Try model N/A N/A N/A 0.8274 N/A N/A N/A N/A 0.3713 N/A
239 s426135 2020-03-22 11:00 1.0.2 Added some regex and fix logprobs N/A N/A N/A 0.8274 N/A N/A N/A N/A 0.3713 N/A
238 s426135 2020-03-22 09:19 1.0.2 baseline N/A N/A N/A N/A N/A N/A N/A N/A 0.5479 N/A
237 Patryk Dolata 2020-03-22 06:57 1.0.2 naive bayes solution naive-bayes multinomial baseline N/A N/A N/A 0.7889 N/A N/A N/A N/A 0.7976 N/A
236 klaganowski 2020-03-22 06:52 1.0.2 Naive Bayes naive-bayes multinomial baseline N/A N/A N/A 0.7895 N/A N/A N/A N/A 0.7968 N/A
235 Patryk Dolata 2020-03-22 06:44 1.0.2 one more time simple rule based solution baseline rule-based N/A N/A N/A 0.7147 N/A N/A N/A N/A 0.7028 N/A
234 Jakub Stefko 2020-03-22 05:41 1.0.3 two tokenizers, just to show that i can :D naive-bayes tokenization N/A N/A N/A 0.7885 N/A N/A N/A N/A 0.8010 N/A
233 Jakub Stefko 2020-03-22 04:35 1.0.2 stopwords with naive bayes and stemmer naive-bayes self-made lemmatization stop-words N/A N/A N/A 0.7885 N/A N/A N/A N/A 0.8010 N/A
232 Jakub Stefko 2020-03-22 04:06 1.0.2 naive bayes with stemmer naive-bayes lemmatization N/A N/A N/A 0.7845 N/A N/A N/A N/A 0.7939 N/A
231 klaganowski 2020-03-22 03:24 1.0.2 1st solution (ISI-2019-001) baseline rule-based N/A N/A N/A 0.6939 N/A N/A N/A N/A 0.6875 N/A
230 Szymon Grad 2020-03-21 23:34 1.0.2 Simple regex baseline rule-based N/A N/A N/A 0.6442 N/A N/A N/A N/A 0.6306 N/A
229 [anonymised] 2020-03-21 18:38 1.0.2 Self-made naive bayes solution naive-bayes multinomial baseline N/A N/A N/A 0.7549 N/A N/A N/A N/A 0.7688 N/A
228 Damian Litwin 2020-03-21 17:58 1.0.3 Naive Bayes with sklearn naive-bayes ready-made N/A N/A N/A 0.7542 N/A N/A N/A N/A 0.7531 N/A
227 [anonymised] 2020-03-21 11:21 1.0.2 naive solution naive-bayes multinomial baseline N/A N/A N/A 0.7758 N/A N/A N/A N/A 0.7847 N/A
226 Mikolaj Bachorz 2020-03-17 01:27 1.0.2 Bayes-1 N/A N/A N/A 0.8042 N/A N/A N/A N/A 0.7991 N/A
225 Jakub Stefko 2020-03-17 01:01 1.0.2 1st bayes try naive-bayes multinomial baseline N/A N/A N/A 0.7877 N/A N/A N/A N/A 0.7923 N/A
224 Mikolaj Bachorz 2020-03-16 23:14 1.0.2 Bayes-1 naive-bayes multinomial self-made baseline N/A N/A N/A 0.8044 N/A N/A N/A N/A 0.7991 N/A
223 Mikolaj Bachorz 2020-03-16 18:14 1.0.2 Bayes-1 N/A N/A N/A 0.8039 N/A N/A N/A N/A 0.7989 N/A
222 Mikolaj Bachorz 2020-03-16 16:52 1.0.2 Bayes-1 N/A N/A N/A 0.8033 N/A N/A N/A N/A 0.7983 N/A
221 Mikolaj Bachorz 2020-03-16 16:44 1.0.2 Bayes-1 N/A N/A N/A 0.7995 N/A N/A N/A N/A 0.7968 N/A
220 Hubert Staszek 2020-03-16 16:07 1.0.2 v1.3 naive-bayes multinomial baseline N/A N/A N/A 0.8807 N/A N/A N/A N/A 0.7989 N/A
219 Mikolaj Bachorz 2020-03-16 15:30 1.0.2 Bayes-1 N/A N/A N/A 0.8041 N/A N/A N/A N/A 0.7989 N/A
218 Hubert Staszek 2020-03-16 13:37 1.0.2 v1.2 N/A N/A N/A 0.8807 N/A N/A N/A N/A 0.7960 N/A
217 Mikolaj Bachorz 2020-03-16 13:33 1.0.2 Bayes-1 N/A N/A N/A 0.8042 N/A N/A N/A N/A 0.7991 N/A
216 Hubert Staszek 2020-03-16 12:23 1.0.2 v1 N/A N/A N/A 0.8426 N/A N/A N/A N/A 0.7341 N/A
215 Adam Kwiatkowski 2020-03-16 11:02 1.0.2 bayes 1 test naive-bayes baseline rule-based N/A N/A N/A 0.8913 N/A N/A N/A N/A 0.6904 N/A
214 Mikolaj Bachorz 2020-03-15 22:34 1.0.2 Bayes-1 naive-bayes baseline rule-based N/A N/A N/A 0.7893 N/A N/A N/A N/A 0.7985 N/A
213 Michał Maciaszek 2020-03-15 22:07 1.0.2 rule based self-made baseline rule-based N/A N/A N/A 0.6965 N/A N/A N/A N/A 0.6927 N/A
212 Mikolaj Bachorz 2020-03-15 20:52 1.0.2 Bayes-1 N/A N/A N/A 0.7887 N/A N/A N/A N/A 0.7985 N/A
211 Mikolaj Bachorz 2020-03-15 20:08 1.0.2 Bayes-1 N/A N/A N/A 0.7872 N/A N/A N/A N/A 0.7968 N/A
210 Mikolaj Bachorz 2020-03-15 13:42 1.0.2 Bayes-1 N/A N/A N/A 0.7824 N/A N/A N/A N/A 0.7917 N/A
209 Damian Litwin 2020-03-15 12:06 1.0.3 naive bayes 2 naive-bayes multinomial baseline N/A N/A N/A 0.7912 N/A N/A N/A N/A 0.7960 N/A
208 Mikolaj Bachorz 2020-03-15 02:30 1.0.2 Bayes-1 N/A N/A N/A 0.7877 N/A N/A N/A N/A 0.7985 N/A
207 Mikolaj Bachorz 2020-03-15 02:01 1.0.2 Bayes-1 N/A N/A N/A 0.7932 N/A N/A N/A N/A 0.7958 N/A
206 Mikolaj Bachorz 2020-03-15 01:46 1.0.2 Bayes-1 N/A N/A N/A 0.7870 N/A N/A N/A N/A 0.7976 N/A
205 Mikolaj Bachorz 2020-03-15 00:43 1.0.2 Bayes-1 N/A N/A N/A 0.7877 N/A N/A N/A N/A 0.7985 N/A
204 Mikolaj Bachorz 2020-03-15 00:30 1.0.2 Bayes-1 N/A N/A N/A 0.7809 N/A N/A N/A N/A 0.7925 N/A
203 Mateusz Mucha 2020-03-14 20:34 1.0.2 tokenize v.5 N/A N/A N/A 0.7874 N/A N/A N/A N/A 0.7972 N/A
202 Mikolaj Bachorz 2020-03-14 20:28 1.0.2 Bayes-1 N/A N/A N/A 0.7828 N/A N/A N/A N/A 0.7677 N/A
201 Mateusz Mucha 2020-03-14 20:00 1.0.2 tokenize v.4 N/A N/A N/A 0.8018 N/A N/A N/A N/A 0.7950 N/A
200 Mateusz Mucha 2020-03-14 19:58 1.0.2 Tokenize v.4 N/A N/A N/A 0.8018 N/A N/A N/A N/A 0.7991 N/A
199 Mateusz Mucha 2020-03-14 19:17 1.0.2 tokenize v3 N/A N/A N/A 0.7927 N/A N/A N/A N/A 0.7991 N/A
198 Mikolaj Bachorz 2020-03-14 18:18 1.0.2 Bayes-1 N/A N/A N/A 0.7862 N/A N/A N/A N/A 0.7688 N/A
197 Mateusz Mucha 2020-03-14 15:19 1.0.3 tokenize improvement 2 naive-bayes multinomial baseline N/A N/A N/A N/A N/A N/A N/A N/A 0.8026 N/A
196 Mateusz Mucha 2020-03-14 14:40 1.0.2 improve tokenize N/A N/A N/A N/A N/A N/A N/A N/A 0.7886 N/A
195 Mikolaj Bachorz 2020-03-14 14:21 1.0.2 Bayes-1 N/A N/A N/A 0.7731 N/A N/A N/A N/A 0.7700 N/A
194 Patryk Dolata 2020-03-14 11:19 1.0.2 another solution N/A N/A N/A 0.7889 N/A N/A N/A N/A 0.7976 N/A
193 Mikolaj Bachorz 2020-03-14 01:07 1.0.2 Bayes-1 N/A N/A N/A 0.7731 N/A N/A N/A N/A 0.7750 N/A
192 Mikolaj Bachorz 2020-03-14 01:05 1.0.2 Bayes-1 N/A N/A N/A 0.7731 N/A N/A N/A N/A 0.7750 N/A
191 Mikolaj Bachorz 2020-03-14 01:03 1.0.2 Bayes-1 N/A N/A N/A 0.7731 N/A N/A N/A N/A 0.7770 N/A
190 Mikolaj Bachorz 2020-03-14 00:59 1.0.2 Bayes-1 N/A N/A N/A 0.7731 N/A N/A N/A N/A 0.7750 N/A
189 Mikolaj Bachorz 2020-03-14 00:54 1.0.2 Bayes-1 N/A N/A N/A 0.7731 N/A N/A N/A N/A 0.7741 N/A
188 Mikolaj Bachorz 2020-03-13 23:25 1.0.2 Bayes-1 N/A N/A N/A 0.8014 N/A N/A N/A N/A 0.7727 N/A
187 Mikolaj Bachorz 2020-03-13 23:13 1.0.2 Bayes-1 N/A N/A N/A 0.7942 N/A N/A N/A N/A 0.7529 N/A
186 Mikolaj Bachorz 2020-03-13 16:59 1.0.2 Bayes-1 N/A N/A N/A 0.7779 N/A N/A N/A N/A 0.7750 N/A
185 Mikolaj Bachorz 2020-03-13 14:40 1.0.2 Bayes-1 N/A N/A N/A 0.7783 N/A N/A N/A N/A 0.7739 N/A
184 Mikolaj Bachorz 2020-03-13 14:35 1.0.2 Bayes-1 N/A N/A N/A 0.7783 N/A N/A N/A N/A 0.7745 N/A
183 Mikolaj Bachorz 2020-03-13 13:35 1.0.2 Bayes-1 N/A N/A N/A 0.9035 N/A N/A N/A N/A 0.7700 N/A
182 Mikolaj Bachorz 2020-03-13 13:34 1.0.2 Bayes-1 N/A N/A N/A 0.9035 N/A N/A N/A N/A 0.7296 N/A
181 Mikolaj Bachorz 2020-03-13 13:32 1.0.2 Bayes-1 N/A N/A N/A 0.9035 N/A N/A N/A N/A 0.7700 N/A
180 Mikolaj Bachorz 2020-03-13 13:30 1.0.2 Bayes-1 N/A N/A N/A 0.9035 N/A N/A N/A N/A 0.4627 N/A
179 Mikolaj Bachorz 2020-03-13 13:27 1.0.2 Bayes-1 N/A N/A N/A 0.9035 N/A N/A N/A N/A 0.5118 N/A
178 Mikolaj Bachorz 2020-03-13 13:22 1.0.2 Bayes-1 N/A N/A N/A 0.9035 N/A N/A N/A N/A 0.5132 N/A
177 Mikolaj Bachorz 2020-03-13 13:15 1.0.2 Bayes-1 N/A N/A N/A 0.9042 N/A N/A N/A N/A 0.5105 N/A
176 Nikodem Pachala 2020-03-13 09:12 1.0.2 Naive bayes first try naive-bayes multinomial baseline N/A N/A N/A 0.7959 N/A N/A N/A N/A 0.7968 N/A
175 Patryk Dolata 2020-03-11 17:43 1.0.2 small change in tokenize N/A N/A N/A 0.7731 N/A N/A N/A N/A 0.7937 N/A
174 Patryk Dolata 2020-03-11 17:32 1.0.2 first try of bayes N/A N/A N/A 0.7724 N/A N/A N/A N/A 0.7836 N/A
173 Dawid Majsnerowski 2020-03-11 15:06 1.0.2 Naive Bayes naive-bayes multinomial baseline N/A N/A N/A 0.7665 N/A N/A N/A N/A 0.7832 N/A
172 Damian Litwin 2020-03-10 07:10 1.0.3 simple rule-based test stupid simple baseline rule-based N/A N/A N/A 0.6739 N/A N/A N/A N/A 0.6667 N/A
171 Robert 2020-03-09 22:58 1.0.2 Naive bayes - tags edited naive-bayes multinomial baseline N/A N/A N/A 0.7847 N/A N/A N/A N/A 0.7948 N/A
170 Adam Kwiatkowski 2020-03-09 17:43 1.0.2 a baseline rule-based N/A N/A N/A 0.7028 N/A N/A N/A N/A 0.6958 N/A
169 Hubert Staszek 2020-03-09 17:25 1.0.2 v2.5 baseline rule-based N/A N/A N/A 0.7109 N/A N/A N/A N/A 0.6988 N/A
168 Mikolaj Bachorz 2020-03-09 13:18 1.0.2 Solution ISI-2019-001 baseline rule-based N/A N/A N/A 0.7695 N/A N/A N/A N/A 0.7188 N/A
167 Jakub 452101 2020-03-09 12:31 1.0.2 ISI-1 rule-based, baseline baseline rule-based N/A N/A N/A 0.6965 N/A N/A N/A N/A 0.6927 N/A
166 Mikolaj Bachorz 2020-03-09 11:16 1.0.2 Solution ISI-2019-001 baseline rule-based N/A N/A N/A 0.7673 N/A N/A N/A N/A 0.7168 N/A
165 klaganowski 2020-03-09 02:30 1.0.2 1st solution baseline N/A N/A N/A 0.6939 N/A N/A N/A N/A 0.6875 N/A
164 klaganowski 2020-03-09 02:25 1.0.2 1st solution baseline N/A N/A N/A 0.6939 N/A N/A N/A N/A 0.6875 N/A
163 KP 2020-03-09 00:22 1.0.2 second version baseline rule-based N/A N/A N/A 0.7138 N/A N/A N/A N/A 0.7023 N/A
162 Mikolaj Bachorz 2020-03-09 00:22 1.0.2 Solution ISI-2019-001 baseline rule-based N/A N/A N/A 0.7671 N/A N/A N/A N/A 0.7168 N/A
161 Hubert Staszek 2020-03-08 23:10 1.0.2 v2.5 N/A N/A N/A 0.7109 N/A N/A N/A N/A 0.6988 N/A
160 Hubert Staszek 2020-03-08 23:09 1.0.2 v2.5 N/A N/A N/A 0.7109 N/A N/A N/A N/A 0.6986 N/A
159 Hubert Staszek 2020-03-08 23:08 1.0.2 v2.5 baseline rule-based N/A N/A N/A 0.7109 N/A N/A N/A N/A 0.6984 N/A
158 Hubert Staszek 2020-03-08 22:47 1.0.2 v2 N/A N/A N/A 0.7096 N/A N/A N/A N/A 0.6988 N/A
157 Jakub Stefko 2020-03-08 20:39 1.0.2 3rd stupid baseline rule-based N/A N/A N/A 0.7265 N/A N/A N/A N/A 0.7059 N/A
156 Mikolaj Bachorz 2020-03-07 22:20 1.0.2 Test N/A N/A N/A 0.7671 N/A N/A N/A N/A 0.7168 N/A
155 Mikolaj Bachorz 2020-03-07 19:13 1.0.2 Merge remote-tracking branch 'origin/my-brilliant-branch' into my-brilliant-branch N/A N/A N/A 0.7229 N/A N/A N/A N/A 0.7036 N/A
154 Mikolaj Bachorz 2020-03-07 18:54 1.0.2 Test N/A N/A N/A N/A N/A N/A N/A N/A 0.6842 N/A
153 Dawid Majsnerowski 2020-03-07 17:07 1.0.2 Third try baseline rule-based N/A N/A N/A 0.6794 N/A N/A N/A N/A 0.6696 N/A
152 Patryk Dolata 2020-03-07 16:27 1.0.2 another test N/A N/A N/A 0.7147 N/A N/A N/A N/A 0.7028 N/A
151 Patryk Dolata 2020-03-07 15:38 1.0.2 another test N/A N/A N/A 0.7035 N/A N/A N/A N/A 0.6892 N/A
150 Mikolaj Bachorz 2020-03-07 15:04 1.0.2 Merge branch 'test' of s426080/paranormal-or-skeptic into my-brilliant-branch N/A N/A N/A N/A N/A N/A N/A N/A 0.6984 N/A
149 Patryk Dolata 2020-03-07 15:00 1.0.2 third test N/A N/A N/A 0.6965 N/A N/A N/A N/A 0.6891 N/A
148 Patryk Dolata 2020-03-07 14:10 1.0.2 second test N/A N/A N/A 0.6791 N/A N/A N/A N/A 0.6685 N/A
147 Mikolaj Bachorz 2020-03-07 13:21 1.0.2 Prześlij pliki do 'test-A' N/A N/A N/A N/A N/A N/A N/A N/A 0.6951 N/A
146 [anonymised] 2020-03-07 12:42 1.0.2 my brilliant solution N/A N/A N/A 0.7587 N/A N/A N/A N/A 0.7649 N/A
145 Jonasz Chudobski 2020-03-07 09:15 1.0.2 not brilliant baseline rule-based N/A N/A N/A 0.6855 N/A N/A N/A N/A 0.6813 N/A
144 Nikodem Pachala 2020-03-06 14:49 1.0.2 Test number two baseline rule-based N/A N/A N/A 0.7166 N/A N/A N/A N/A 0.7017 N/A
143 Magda 2020-03-06 09:15 1.0.2 my brilliant solution baseline rule-based N/A N/A N/A 0.6791 N/A N/A N/A N/A 0.6685 N/A
142 [anonymised] 2020-03-06 09:15 1.0.2 my brilliant solution N/A N/A N/A 0.6929 N/A N/A N/A N/A 0.6869 N/A
141 Jakub Stefko 2020-03-05 19:05 1.0.2 2nd stupid baseline rule-based N/A N/A N/A 0.7020 N/A N/A N/A N/A 0.6951 N/A
140 Jakub Stefko 2020-03-05 18:55 1.0.2 1st submitter=jStefko stupid baseline rule-based N/A N/A N/A 0.6929 N/A N/A N/A N/A 0.6892 N/A
139 Mikolaj Bachorz 2020-03-05 14:07 1.0.2 my solution N/A N/A N/A N/A N/A N/A N/A N/A 0.6869 N/A
138 Mikolaj Bachorz 2020-03-05 12:32 1.0.2 my solution N/A N/A N/A N/A N/A N/A N/A N/A 0.5233 N/A
137 Mikolaj Bachorz 2020-03-02 18:25 1.0.2 my solution N/A N/A N/A N/A N/A N/A N/A N/A 0.6685 N/A
136 Robert 2020-03-02 16:55 1.0.2 Simple rule-based - tags edited baseline rule-based N/A N/A N/A 0.6942 N/A N/A N/A N/A 0.6821 N/A
135 Yevheniia Tsapkova 2020-03-02 16:50 1.0.2 simple solution baseline rule-based N/A N/A N/A 0.6840 N/A N/A N/A N/A 0.6844 N/A
134 [anonymised] 2020-03-02 16:44 1.0.2 simple rule based baseline rule-based N/A N/A N/A 0.6610 N/A N/A N/A N/A 0.6603 N/A
133 Dominika 2020-03-01 07:54 1.0.2 my first task baseline rule-based N/A N/A N/A 0.6296 N/A N/A N/A N/A 0.6285 N/A
132 Anna Maduzia 2020-02-29 14:14 1.0.2 rule-based and stupid baseline rule-based N/A N/A N/A 0.6899 N/A N/A N/A N/A 0.6867 N/A
131 Yevheniia Tsapkova 2020-02-24 17:45 1.0.2 first simple solution stupid rule-based N/A N/A N/A 0.6665 N/A N/A N/A N/A 0.6580 N/A
130 p/tlen 2020-02-24 17:45 1.0.3 simple rule-based solution stupid baseline rule-based N/A N/A N/A 0.6774 N/A N/A N/A N/A 0.6687 N/A
129 p/tlen 2020-02-23 19:25 1.0.2 baseline baseline N/A N/A N/A 0.3539 N/A N/A N/A N/A 0.3649 N/A