Gratka flats challenge
Predict the price of flats in Poznań. Each entry in training data set is described by: Price, Rooms, SqrMeters, Floor, Location, Description. Evaluation metric is RMSE. [ver. 1.0.0]
Git repo URL: git://gonito.net/mieszkania / Branch: master
Run git clone --single-branch git://gonito.net/mieszkania -b master to get the challenge data
Browse at https://gonito.net/gitlist/mieszkania.git/master
Leaderboard
# | submitter | when | ver. | description | test-A RMSE | × | |
---|---|---|---|---|---|---|---|
1 | [anonymized] | 2016-12-11 21:33 | 1.0.0 | zpd: En final | 292.0697770526135 | 22 | |
2 | [anonymized] | 2016-12-07 16:25 | 1.0.0 | code, no data | 292.22184602569035 | 53 | |
3 | [anonymized] | 2016-12-12 11:14 | 1.0.0 | chyze szynszyle: mean estimator | 331.6929603719556 | 23 | |
4 | [anonymized] | 2016-11-16 09:36 | 1.0.0 | admin: always mean price | 336.50967280038304 | 1 | |
5 | [anonymized] | 2016-12-11 19:30 | 1.0.0 | chyze szynszyle: regresja liniowa glm | 338.1134778534156 | 4 | |
6 | [anonymized] | 2016-12-05 23:42 | 1.0.0 | test | 339.82592555904745 | 25 | |
7 | kubapok | 2017-10-06 09:13 | 1.0.0 | mean | 347.8067638078092 | 1 | |
8 | [anonymized] | 2017-12-15 22:05 | 1.0.0 | UMZ-2017-zaoczne-004 gradient descent self-made linear-regression | 349.65394912721274 | 1 | |
9 | [anonymized] | 2016-12-10 19:56 | 1.0.0 | LR no1 | 349.85164999195206 | 6 | |
10 | [anonymized] | 2016-12-12 00:07 | 1.0.0 | Foki: wynik v2 | 351.29651780980663 | 10 | |
11 | [anonymized] | 2016-12-11 23:29 | 1.0.0 | Foki: wyniki | 351.29651780980663 | 3 | |
12 | [anonymized] | 2016-11-23 21:24 | 1.0.0 | Instance Monad Siekiera - Vowpal Wabbit with options --passes 500 --ngram 2 -b 20 --l1 0.0000001 --l2 0.0000001 --nn 10 --cubic mld | 351.31511293654745 | 3 | |
13 | [anonymized] | 2016-12-12 20:09 | 1.0.0 | M^2 regresja liniowa | 355.53801762906545 | 1 | |
14 | [anonymized] | 2016-12-07 17:21 | 1.0.0 | falstart | 365.16076725827764 | 2 | |
15 | [anonymized] | 2017-12-13 22:34 | 1.0.0 | Zadanie 004 z kodem programu self-made linear-regression | 365.6190965465601 | 2 | |
16 | [anonymized] | 2016-12-09 20:48 | 1.0.0 | 365.76184294457374 | 3 | ||
17 | [anonymized] | 2017-12-17 09:28 | 1.0.0 | Wykonane self-made linear-regression | 366.5175759271912 | 1 | |
18 | [anonymized] | 2017-09-30 17:59 | 1.0.0 | Naive linear regression | 586.5211244969831 | 1 | |
19 | p/tlen | 2017-09-28 19:23 | 1.0.0 | wersja 2000 | 1519.875899922114 | 5 |