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.

submitter when description dev-0/RMSE test-A/RMSE
Mily 2016-12-12 20:09 M^2 regresja liniowa 1328.64830356909 355.538017629065
biesek 2016-12-12 11:14 chyze szynszyle: mean estimator N/A 331.692960371956
biesek 2016-12-12 10:12 chyze szynszyle: ostatni raz k-nn N/A 361.939827163619
biesek 2016-12-12 10:10 chyze szynszyle: ostatni raz random forest N/A 359.329285147551
Durson 2016-12-12 00:26 one more try 1327.5057051761 363.806306370861
biesek 2016-12-12 00:09 chyze szynszyle: linear model N/A 359.929570998433
tamazaki 2016-12-12 00:07 Foki: wynik v2 N/A 351.296517809807
Durson 2016-12-11 23:44 one more try 1327.5057051761 365.737989675284
Durson 2016-12-11 23:38 one more try 1327.5057051761 363.849875659528
Durson 2016-12-11 23:35 one more try 1327.5057051761 N/A
biesek 2016-12-11 23:35 chyze szynszyle: bez normalizacji na dzielnicach N/A 361.018061621947
biesek 2016-12-11 23:34 chyze szynszyle: k-nn, dodanie nowych cech N/A 361.777083863443
[name not given] 2016-12-11 23:29 Foki: wyniki N/A 351.296517809807
biesek 2016-12-11 23:28 chyze szynszyle: k-nn bez normalizacji danych, hehe N/A 361.950332831267
biesek 2016-12-11 23:24 chyze szynszyle: k-nn, wszystkie cechy N/A 361.299598577756
biesek 2016-12-11 23:22 chyze szynszyle: jeszcze więcej słów w bag of words N/A 354.204231108817
biesek 2016-12-11 23:14 chyze szynszyle: ostatni krzyk szynszyli N/A 361.950079342074
[name not given] 2016-12-11 23:12 testoza N/A 351.296517809807
biesek 2016-12-11 23:11 chyze szynszyle: bez usuwania outliers N/A 3818.66694113454
biesek 2016-12-11 23:10 chyze szynszyle: nie pamiętam co zmieniłem N/A 355.141301982051
[name not given] 2016-12-11 23:09 testoza N/A N/A
biesek 2016-12-11 23:06 chyze szynszyle: k-nn using bag of words, more words, more train data N/A 351.712617665338
biesek 2016-12-11 23:04 chyze szynszyle: k-nn using all features and bag of words, more train data N/A 359.465856953283
tamazaki 2016-12-11 23:02 Foki: prace nad wynikiem N/A N/A
biesek 2016-12-11 22:59 chyze szynszyle: k-nn using bag of words, less words N/A 364.876180017578
biesek 2016-12-11 22:58 chyze szynszyle: k-nn using all features and bag of words N/A 361.950079342074
biesek 2016-12-11 22:56 chyze szynszyle: k-nn using bag of words, more words N/A 358.35817824335
biesek 2016-12-11 22:53 chyze szynszyle: k-nn using bag of words N/A 352.606954833958
tamazaki 2016-12-11 22:53 Foki: wyjście N/A N/A
[name not given] 2016-12-11 22:52 chyze szynszyle: regresja liniowa usuniete dane odstajace N/A 584.443238704678
biesek 2016-12-11 22:50 chyze szynszyle: random forest N/A 360.767681411605
tamazaki 2016-12-11 22:31 Foki: liczba wyników N/A N/A
tamazaki 2016-12-11 22:27 Foki: prace nad wynikiem N/A N/A
tamazaki 2016-12-11 22:23 Foki: konwertowanie N/A N/A
tamazaki 2016-12-11 22:07 Foki: testowanie zbioru N/A N/A
tamazaki 2016-12-11 21:37 Foki: zapis do pliku N/A N/A
tamazaki 2016-12-11 21:35 Foki: zapis do pliku N/A N/A
s384026 2016-12-11 21:33 zpd: En final N/A 292.069777052614
Luke 2016-12-11 20:47 darkside: Lr + 1 additional feature N/A 349.862882162138
Luke 2016-12-11 20:39 LR with other feature N/A 349.862882162138
biesek 2016-12-11 20:32 chyże szynszyle: k-nn add new feature 1328.02012971509 363.278464932798
Luke 2016-12-11 20:31 LR + 1 feature N/A 351.296517809806
tamazaki 2016-12-11 20:26 Foki: pierwsze przymiarki N/A N/A
biesek 2016-12-11 19:54 chyże szynszyle: k-nn, add more train examples 1332.26398500375 378.827386632587
[name not given] 2016-12-11 19:30 chyze szynszyle: regresja liniowa glm N/A 338.113477853416
Luke 2016-12-11 19:08 LR + 2 new features N/A 351.254202215631
Durson 2016-12-11 18:02 test 1327.5057051761 374.028491139551
[name not given] 2016-12-11 17:54 chyze szynszyle: regresja liniowa N/A 338.113477853416
[name not given] 2016-12-11 17:47 chyze szynszyle: regresja liniowa N/A N/A
Durson 2016-12-11 17:33 test 1327.5057051761 350.730928959022
Durson 2016-12-11 17:18 mean 1327.5057051761 347.750584624652
Durson 2016-12-11 16:43 test 1327.5057051761 363.049827372689
Durson 2016-12-11 16:38 test 1327.5057051761 420.47958989619
Durson 2016-12-11 16:37 test 1327.5057051761 585.642819717622
Durson 2016-12-11 16:07 test 1329.50582859338 363.954626260808
biesek 2016-12-11 14:40 chyze_szynszyle: solution using svm 1332.26398500375 366.651418861609
biesek 2016-12-11 14:34 chyze szynszyle: first solution using k-NN 1328.45995974495 366.171095462699
s384026 2016-12-11 12:30 En3 + new feature N/A 295.683613821414
Durson 2016-12-11 02:20 linear model, fixed bug 1329.61622464546 364.394227919566
Luke 2016-12-10 19:56 LR no1 N/A 349.851649991952
Luke 2016-12-10 19:25 LR N/A N/A
Przemysław Nowaczyk 2016-12-10 16:31 words counting N/A 364.908789168923
s384026 2016-12-10 12:52 En3 N/A 294.737669626517
s384026 2016-12-10 12:31 En2 N/A 293.774200989978
s384026 2016-12-10 12:27 En1 N/A 295.313226370379
s384026 2016-12-10 12:21 En1 N/A N/A
s384026 2016-12-10 12:00 LR + multi N/A 338.548864647518
s384026 2016-12-10 11:48 LR + 2 new features N/A 338.419752420344
[name not given] 2016-12-09 22:42 submission N/A 365.945334793957
[name not given] 2016-12-09 20:48 N/A 365.761842944574
[name not given] 2016-12-09 20:39 submission N/A 366.587887363623
s384026 2016-12-09 17:39 MLP + new feature N/A 318.984929160932
s384026 2016-12-09 17:31 MLP N/A 317.483984350679
s384026 2016-12-09 17:27 SVR N/A 331.527736239575
s384026 2016-12-09 17:15 LR + new feature (no noise) N/A 336.881575390814
s384026 2016-12-09 17:05 LR + new feature N/A 337.373548351277
s384026 2016-12-09 16:49 MLP N/A N/A
s384026 2016-12-08 21:59 LR2 N/A 335.442224710191
s384026 2016-12-08 21:52 LR N/A N/A
s384026 2016-12-08 21:26 test5 N/A N/A
s384026 2016-12-08 16:48 test4 N/A N/A
s384026 2016-12-08 16:06 test3 N/A N/A
s384026 2016-12-08 15:55 test2 N/A N/A
s384026 2016-12-08 15:40 test N/A N/A
s384026 2016-12-08 12:04 LP N/A N/A
[name not given] 2016-12-07 17:21 falstart N/A 365.160767258278
[name not given] 2016-12-07 17:10 first submission N/A N/A
Przemysław Nowaczyk 2016-12-07 16:25 code, no data N/A 292.22184602569
Durson 2016-12-06 05:26 experiment 1329.66030723863 368.675431160957
Durson 2016-12-06 04:11 test 1329.66030723863 363.591802184546
Durson 2016-12-06 01:52 test 1329.65971949862 363.596238195983
Durson 2016-12-06 00:52 random experiment 1327.73182700462 369.173547818869
Durson 2016-12-06 00:49 random experiment 1329.13736653624 364.563325305554
Durson 2016-12-06 00:20 test 1329.65972183894 363.595742570459
Durson 2016-12-05 23:50 test 1329.66002051434 363.507386255586
Durson 2016-12-05 23:42 test 1332.31024223257 339.825925559047
Durson 2016-12-05 22:43 test 3 0.0 340.795007224064
Durson 2016-12-05 22:39 test 2 0.0 339.825925559047
Durson 2016-12-05 22:37 test 1 N/A 339.825925559047
Durson 2016-12-05 22:26 trivial linear model N/A 362.434855541341
Durson 2016-12-05 22:18 first test, poor solution N/A 372.760938027584
Przemysław Nowaczyk 2016-12-04 17:23 even closer to mean + 510 N/A 292.22184602569
Przemysław Nowaczyk 2016-12-04 17:15 even closer to mean N/A 352.866121822434
Przemysław Nowaczyk 2016-12-04 16:56 simple solution, closer to mean N/A 352.745769969912
Przemysław Nowaczyk 2016-12-04 16:40 simple solution, rm only N/A 370.559140333624
Przemysław Nowaczyk 2016-12-04 16:36 simple solution, mtr only N/A 364.5747308804
Przemysław Nowaczyk 2016-12-04 16:31 simple solution, mtr+fltTp N/A 364.178632559581
Przemysław Nowaczyk 2016-12-04 16:22 simple solution, warm start N/A 364.060533977882
Przemysław Nowaczyk 2016-12-04 16:18 simple solution, learningRate = optimal N/A 364.488040814737
Przemysław Nowaczyk 2016-12-04 16:13 simple solution, learningRate = constant N/A 374.501487081557
Przemysław Nowaczyk 2016-12-04 16:10 simple solution, power_t = 0.7 N/A 365.352616335497
Przemysław Nowaczyk 2016-12-04 16:03 simple solution, penalty = elastic net N/A 363.366823560924
Przemysław Nowaczyk 2016-12-04 15:58 simple solution, penalty = l1 N/A 363.814780770378
Przemysław Nowaczyk 2016-12-04 15:50 simple solution, penalty = l2 N/A 363.611230461661
Przemysław Nowaczyk 2016-12-04 15:44 simple solution, loss method = eps_ins_sqr N/A 370.294969223182
Przemysław Nowaczyk 2016-12-04 15:38 simple solution, loss method = eps_insens N/A 363.66310277279
Przemysław Nowaczyk 2016-12-04 15:30 simple solution, loss method = huber N/A 364.178689762097
Przemysław Nowaczyk 2016-12-04 15:23 simple solution, l1=0.8 N/A 368.154454135297
Przemysław Nowaczyk 2016-12-04 14:38 simple solution, l1=0.4 N/A 368.008601784172
Przemysław Nowaczyk 2016-12-04 14:09 simple solution, but more epochs N/A 373.568430978285
Przemysław Nowaczyk 2016-12-04 13:38 simple solution N/A 368.140995315582
Przemysław Nowaczyk 2016-12-04 13:28 Also mean, but better N/A 292.309846517652
Przemysław Nowaczyk 2016-12-03 21:15 Klol N/A 367.770126218498
Przemysław Nowaczyk 2016-12-03 21:15 Klol N/A 367.770126218498
Przemysław Nowaczyk 2016-12-03 20:51 idk N/A 375.616325198664
Przemysław Nowaczyk 2016-12-03 20:18 0.1kmr N/A 16807.2183292779
Przemysław Nowaczyk 2016-12-03 19:52 nowy regresor N/A 354.971906945297
Przemysław Nowaczyk 2016-12-03 00:48 bigger lower N/A 292.962465259263
Przemysław Nowaczyk 2016-12-03 00:45 stupid RMSE prediction * p N/A 329.566167970247
Przemysław Nowaczyk 2016-12-03 00:42 stupid RMSE prediction * 1,36 N/A 397.804340245665
Przemysław Nowaczyk 2016-12-03 00:36 stupid RMSE prediction * 1,36 N/A 341.549857030174
Przemysław Nowaczyk 2016-12-03 00:35 stupid RMSE prediction N/A 321.058052831328
Przemysław Nowaczyk 2016-12-03 00:33 stupid RMSE prediction N/A 322.306828233337
Przemysław Nowaczyk 2016-12-03 00:32 stupid RMSE prediction N/A N/A
Przemysław Nowaczyk 2016-12-03 00:03 xxx N/A 292.302990936343
Przemysław Nowaczyk 2016-12-03 00:02 xxx N/A 295.231016229645
Przemysław Nowaczyk 2016-12-03 00:02 xxx N/A 292.42257078057
Przemysław Nowaczyk 2016-12-02 23:59 xxx N/A 293.684869690437
Przemysław Nowaczyk 2016-12-02 23:41 xxx N/A 298.094895729273
Przemysław Nowaczyk 2016-12-02 23:40 xxx N/A 305.401917208461
Przemysław Nowaczyk 2016-12-02 23:35 xxx N/A 315.404653119387
Przemysław Nowaczyk 2016-12-02 23:31 xxx N/A 319.296126817953
Przemysław Nowaczyk 2016-12-02 23:30 xxx N/A 323.450054865558
Przemysław Nowaczyk 2016-12-02 23:30 xxx N/A 327.856461556148
Przemysław Nowaczyk 2016-12-02 23:26 means increased N/A 332.029800825988
Przemysław Nowaczyk 2016-12-02 23:25 means increased N/A 333.463288915018
Przemysław Nowaczyk 2016-12-02 23:24 means increased N/A 330.151207903153
Przemysław Nowaczyk 2016-12-02 23:23 means increased N/A 327.856461556148
Przemysław Nowaczyk 2016-12-02 23:22 means increased N/A 332.505309394758
Przemysław Nowaczyk 2016-12-02 23:05 means unfiltered N/A 336.509670157832
Przemysław Nowaczyk 2016-12-02 23:01 at_least_means N/A 356.876236925264
Przemysław Nowaczyk 2016-12-01 19:22 at_least_we_tried team first solution N/A 366.641433972529
Maxi 2016-11-23 21:24 Instance Monad Siekiera - Vowpal Wabbit with options --passes 500 --ngram 2 -b 20 --l1 0.0000001 --l2 0.0000001 --nn 10 --cubic mld 1331.83357415526 351.315112936547
Maxi 2016-11-23 13:05 VW with NN, ngrams = 3, passes = 100 1339.33463464436 406.565203938979
Maxi 2016-11-23 11:12 pitu pitu 1342.56090108115 383.293821143528
romang 2016-11-16 09:36 admin: always mean price N/A 336.509672800383