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

(Browse at https://gonito.net/gitlist/mieszkania.git/master)

Leaderboard

# submitter when ver. description test-A RMSE ×
1 [anonymised] 2016-12-11 21:33 1.0.0 zpd: En final 292.0697770526135 22
2 [anonymised] 2016-12-07 16:25 1.0.0 code, no data 292.22184602569035 53
3 [anonymised] 2016-12-12 11:14 1.0.0 chyze szynszyle: mean estimator 331.6929603719556 23
4 [anonymised] 2016-11-16 09:36 1.0.0 admin: always mean price 336.50967280038304 1
5 [anonymised] 2016-12-11 19:30 1.0.0 chyze szynszyle: regresja liniowa glm 338.1134778534156 4
6 [anonymised] 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 [anonymised] 2017-12-15 22:05 1.0.0 UMZ-2017-zaoczne-004 gradient descent self-made linear-regression 349.65394912721274 1
9 [anonymised] 2016-12-10 19:56 1.0.0 LR no1 349.85164999195206 6
10 [anonymised] 2016-12-12 00:07 1.0.0 Foki: wynik v2 351.29651780980663 10
11 [anonymised] 2016-12-11 23:29 1.0.0 Foki: wyniki 351.29651780980663 3
12 [anonymised] 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 [anonymised] 2016-12-12 20:09 1.0.0 M^2 regresja liniowa 355.53801762906545 1
14 [anonymised] 2016-12-07 17:21 1.0.0 falstart 365.16076725827764 2
15 [anonymised] 2017-12-13 22:34 1.0.0 Zadanie 004 z kodem programu self-made linear-regression 365.6190965465601 2
16 [anonymised] 2016-12-09 20:48 1.0.0 365.76184294457374 3
17 [anonymised] 2017-12-17 09:28 1.0.0 Wykonane self-made linear-regression 366.5175759271912 1
18 Paweł Skórzewski 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