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.

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 s384026 2016-12-11 21:33 1.0.0 zpd: En final 292.069777052614 22
2 [anonymised] 2016-12-07 16:25 1.0.0 code, no data 292.22184602569 53
3 biesek 2016-12-12 11:14 1.0.0 chyze szynszyle: mean estimator 331.692960371956 23
4 romang 2016-11-16 09:36 1.0.0 admin: always mean price 336.509672800383 1
5 [name not given] 2016-12-11 19:30 1.0.0 chyze szynszyle: regresja liniowa glm 338.113477853416 4
6 Durson 2016-12-05 23:42 1.0.0 test 339.825925559047 25
7 kubapok 2017-10-06 09:13 1.0.0 mean 347.806763807809 1
8 [anonymised] 2017-12-15 22:05 1.0.0 UMZ-2017-zaoczne-004 gradient descent self-made linear-regression 349.653949127213 1
9 Luke 2016-12-10 19:56 1.0.0 LR no1 349.851649991952 6
10 tamazaki 2016-12-12 00:07 1.0.0 Foki: wynik v2 351.296517809807 10
11 [name not given] 2016-12-11 23:29 1.0.0 Foki: wyniki 351.296517809807 3
12 Maxi 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 351.315112936547 3
13 Mily 2016-12-12 20:09 1.0.0 M^2 regresja liniowa 355.538017629065 1
14 [name not given] 2016-12-07 17:21 1.0.0 falstart 365.160767258278 2
15 [anonymised] 2017-12-13 22:34 1.0.0 Zadanie 004 z kodem programu self-made linear-regression 365.61909654656 2
16 [name not given] 2016-12-09 20:48 1.0.0 365.761842944574 3
17 s429416 2017-12-17 09:28 1.0.0 Wykonane self-made linear-regression 366.517575927191 1
18 Paweł Skórzewski 2017-09-30 17:59 1.0.0 Naive linear regression 586.521124496983 1
19 p/tlen 2017-09-28 19:23 1.0.0 wersja 2000 1519.87589992211 5