# RetroC2 temporal classification challenge

Guess the publication year of a Polish text. [ver. 1.0.0]

Git repo URL: `git://gonito.net/retroc2` / Branch: ` master`

`https://gonito.net/gitlist/retroc2.git/master`)

## Leaderboard

# | submitter | when | ver. | description | test-A RMSE | × | |
---|---|---|---|---|---|---|---|

1 | kubapok | 2020-06-02 17:12 | 1.0.0 | linear layer on top of polish roberta- Adam lr 1e-07 | 13.328 | 12 | |

2 | Artur Nowakowski | 2019-04-19 07:52 | 1.0.0 | optimized word2vec + nn neural-network word2vec | 17.789 | 9 | |

3 | Mikolaj Bachorz | 2020-05-18 05:20 | 1.0.0 | v2 fasttext | 17.989 | 2 | |

4 | p/tlen | 2017-05-31 04:49 | 1.0.0 | VW -nn 6 on up to 4-grams and [5-7] tokens vowpal-wabbit neural-network | 19.501 | 12 | |

5 | [anonymised] | 2019-05-03 19:49 | 1.0.0 | BiLSTM w/o sorting | 23.225 | 42 | |

6 | [anonymised] | 2019-06-01 15:50 | 1.0.0 | tf ready-made linear-regression tf | 24.291 | 12 | |

7 | [anonymised] | 2019-06-04 15:41 | 1.0.0 | Vowpal Wabbit quadratic model + graph v2 vowpal-wabbit graph | 27.297 | 2 | |

8 | [anonymised] | 2019-06-04 12:03 | 1.0.0 | vw first encounter(loss function, -b 27, passes=20, quadratic model) vowpal-wabbit graph | 27.384 | 1 | |

9 | [anonymised] | 2019-05-06 15:05 | 1.0.0 | tfidf 50k words low reduction range ready-made linear-regression tf-idf | 27.708 | 16 | |

10 | [anonymised] | 2019-05-17 18:45 | 1.0.0 | Vowpal Wabbit - linear regression + graph vowpal-wabbit graph | 27.808 | 10 | |

11 | [anonymised] | 2019-04-15 20:33 | 1.0.0 | Basic ready-made solution with one column ready-made linear-regression tf-idf | 28.298 | 3 | |

12 | [anonymised] | 2019-05-03 18:37 | 1.0.0 | 3000 words tf-idf self-made linear-regression tf-idf | 32.631 | 11 | |

13 | [anonymised] | 2019-05-09 23:19 | 1.0.0 | ready-made tf-df: a fix ready-made linear-regression tf-idf | 33.388 | 6 | |

14 | [anonymised] | 2019-04-16 16:36 | 1.0.0 | simple lin reg self-made linear-regression graph | 35.958 | 6 | |

15 | [anonymised] | 2019-04-08 19:59 | 1.0.0 | stupid solution rule-based | 38.177 | 3 | |

16 | [anonymised] | 2019-06-10 15:23 | 1.0.0 | graf self-made linear-regression graph | 39.246 | 10 | |

17 | [anonymised] | 2019-04-08 12:54 | 1.0.0 | Based on a list with years rule-based | 39.695 | 4 | |

18 | [anonymised] | 2019-04-08 15:24 | 1.0.0 | rulebased rule-based | 39.781 | 3 | |

19 | [anonymised] | 2019-04-15 18:39 | 1.0.0 | XXDDDD my solution self-made linear-regresion ADD CHARTS selfMadeLinearRegres_Solver.py self-made linear-regression graph | 39.904 | 6 | |

20 | [anonymised] | 2019-04-08 18:10 | 1.0.0 | my very simple solution3 rule-based | 40.838 | 5 | |

21 | [anonymised] | 2019-05-06 15:01 | 1.0.0 | My solution go.php rule-based | 42.687 | 1 | |

22 | [anonymised] | 2019-04-15 18:40 | 1.0.0 | excel plots :) self-made linear-regression graph | 42.991 | 6 | |

23 | [anonymised] | 2019-06-12 14:40 | 1.0.0 | wordlist 4 | 51.853 | 40 | |

24 | Anna Maduzia | 2020-06-24 00:12 | 1.0.0 | xgboost solution ready-made xgboost | 54.317 | 2 | |

25 | [anonymised] | 2019-04-07 18:17 | 1.0.0 | most popular words in 10-year periods java rule-based | 57.981 | 1 |