Sport Texts Classification Challenge
Guess the sport discipline for a Polish article. [ver. 1.0.0]
This is a long list of all submissions, if you want to see only the best, click leaderboard.
# | submitter | when | ver. | description | dev-0 Accuracy | dev-0 LikelihoodHashed | test-A Accuracy | test-A LikelihoodHashed | |
---|---|---|---|---|---|---|---|---|---|
33 | Jakub Eichner | 2022-06-07 21:52 | 1.0.0 | s478874 naive-bayes | 0.89930 | N/A | 0.90710 | N/A | |
32 | s444415 | 2022-05-19 15:01 | 1.0.0 | 444415 naive-bayes | 0.89930 | N/A | 0.90747 | N/A | |
31 | s444415 | 2022-05-19 14:57 | 1.0.0 | 444415 naive-bayes | 0.89930 | N/A | N/A | N/A | |
30 | [anonymized] | 2022-05-17 20:23 | 1.0.0 | s478831 naive-bayes | 0.97212 | N/A | 0.97375 | N/A | |
29 | s444452 | 2022-05-09 15:04 | 1.0.0 | 444452 naive-bayes | 0.00000 | N/A | 0.00000 | N/A | |
28 | s444452 | 2022-05-09 14:52 | 1.0.0 | 444452 naive-bayes | 0.00000 | N/A | 0.00000 | N/A | |
27 | s444476 | 2022-05-01 15:44 | 1.0.0 | s444476 naive-bayes | 0.90095 | N/A | 0.91188 | N/A | |
16 | [anonymized] | 2020-05-16 12:47 | 1.0.0 | KNN with bag of words tf knn tf | 0.66783 | 0.21578 | 0.68698 | 0.22380 | |
14 | [anonymized] | 2020-05-12 19:54 | 1.0.0 | dockerfile added knn word2vec | 0.76596 | 0.44512 | 0.77382 | 0.45124 | |
13 | [anonymized] | 2020-05-12 19:52 | 1.0.0 | dockerfile added knn word2vec | 0.76596 | 0.44512 | 0.77382 | 0.45124 | |
8 | [anonymized] | 2020-05-11 00:51 | 1.0.0 | v2 naive-bayes self-made | 0.98771 | 0.86614 | 0.97558 | 0.82295 | |
9 | [anonymized] | 2020-05-11 00:23 | 1.0.0 | v2 | 0.98771 | 0.80449 | 0.97558 | 0.76972 | |
11 | [anonymized] | 2020-05-10 23:59 | 1.0.0 | v2 | 0.98771 | 0.61068 | 0.97558 | 0.59157 | |
19 | [anonymized] | 2020-05-10 22:32 | 1.0.0 | v2 | 0.98771 | 0.13878 | 0.97558 | 0.13713 | |
5 | [anonymized] | 2020-05-04 13:47 | 1.0.0 | makefile added kenlm | 0.97414 | 0.85532 | 0.97577 | 0.86518 | |
4 | [anonymized] | 2020-05-04 13:44 | 1.0.0 | KenLM smoothed kenlm | 0.97414 | 0.85532 | 0.97577 | 0.86518 | |
1 | [anonymized] | 2020-04-27 09:19 | 1.0.0 | Logistic regression - 2M iterations naive-bayes logistic-regression scikit-learn | 0.97964 | 0.92026 | 0.98127 | 0.92100 | |
12 | [anonymized] | 2020-04-26 21:33 | 1.0.0 | Naive Bayes prob ISI-2019-030 naive-bayes self-made | 0.80337 | 0.45102 | 0.80833 | 0.45162 | |
2 | [anonymized] | 2020-04-25 14:49 | 1.0.0 | log-reg naive-bayes scikit-learn | 0.97927 | 0.91921 | 0.98072 | 0.92076 | |
6 | [anonymized] | 2020-04-22 09:22 | 1.0.0 | vw 2 naive-bayes vowpal-wabbit | 0.96588 | 0.84248 | 0.96952 | 0.85554 | |
20 | [anonymized] | 2020-04-22 04:14 | 1.0.0 | initial commit naive-bayes self-made | 0.97194 | 0.13694 | 0.97577 | 0.13703 | |
24 | [anonymized] | 2020-04-22 04:11 | 1.0.0 | initial commit | 0.00055 | 0.12405 | 0.00037 | 0.12396 | |
18 | [anonymized] | 2020-04-22 03:46 | 1.0.0 | initial commit | 0.97194 | 0.14733 | 0.97595 | 0.14756 | |
21 | [anonymized] | 2020-04-22 03:41 | 1.0.0 | initial commit | 0.97194 | 0.13694 | 0.97613 | 0.13703 | |
26 | [anonymized] | 2020-04-22 03:35 | 1.0.0 | initial commit | 0.97194 | 0.00000 | 0.97595 | 0.00000 | |
22 | [anonymized] | 2020-04-22 03:30 | 1.0.0 | initial commit | 0.97175 | 0.12736 | 0.97558 | 0.12732 | |
17 | [anonymized] | 2020-04-22 03:25 | 1.0.0 | initial commit | 0.97194 | 0.20851 | 0.97595 | 0.20953 | |
3 | [anonymized] | 2020-04-21 11:06 | 1.0.0 | Vowpal Wabbit logistic b=20 naive-bayes vowpal-wabbit | 0.97781 | 0.89719 | 0.97962 | 0.90408 | |
15 | [anonymized] | 2018-12-25 22:00 | 1.0.0 | MaxEnt 25k articles | 0.81034 | 0.25667 | 0.81715 | 0.26017 | |
25 | [anonymized] | 2018-12-25 21:49 | 1.0.0 | DecisionTree 10k articles 1000 most common words | 0.54549 | 0.00536 | 0.55884 | 0.00624 | |
7 | [anonymized] | 2018-12-16 16:46 | 1.0.0 | NaiveBayes more words | 0.97249 | 0.83496 | 0.97356 | 0.84492 | |
10 | [anonymized] | 2018-12-16 16:32 | 1.0.0 | NaiveBayes 1500 most common words | 0.90499 | 0.68696 | 0.92198 | 0.72517 | |
23 | p/tlen | 2018-12-15 21:14 | 1.0.0 | Null-model baseline stupid null-model | 0.13646 | 0.12575 | 0.13659 | 0.12569 |