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]
This is a long list of all submissions, if you want to see only the best, click leaderboard.
# | submitter | when | ver. | description | dev-0 RMSE | test-A RMSE | |
---|---|---|---|---|---|---|---|
172 | [anonymized] | 2019-03-19 13:12 | 1.0.0 | test commit | N/A | N/A | |
171 | [anonymized] | 2019-03-19 13:11 | 1.0.0 | test commit | N/A | N/A | |
170 | [anonymized] | 2019-03-05 12:55 | 1.0.0 | testtest | N/A | N/A | |
169 | [anonymized] | 2019-02-26 14:12 | 1.0.0 | test commit | N/A | N/A | |
168 | [anonymized] | 2017-12-17 22:54 | 1.0.0 | Zadniae | N/A | N/A | |
110 | [anonymized] | 2017-12-17 09:28 | 1.0.0 | Wykonane self-made linear-regression | 1329.9387232536692 | 366.5175759271912 | |
48 | [anonymized] | 2017-12-15 22:05 | 1.0.0 | UMZ-2017-zaoczne-004 gradient descent self-made linear-regression | 1328.9613130289044 | 349.65394912721274 | |
105 | [anonymized] | 2017-12-13 22:34 | 1.0.0 | Zadanie 004 z kodem programu self-made linear-regression | 1329.917349272305 | 365.6190965465601 | |
167 | [anonymized] | 2017-12-13 22:30 | 1.0.0 | gradient prosty | N/A | N/A | |
47 | kubapok | 2017-10-06 09:13 | 1.0.0 | mean | 1332.8568005121458 | 347.8067638078092 | |
135 | [anonymized] | 2017-09-30 17:59 | 1.0.0 | Naive linear regression | 1383.6523126679888 | 586.5211244969831 | |
140 | p/tlen | 2017-09-30 15:34 | 1.0.0 | dsdsd | N/A | 1913.9555625720845 | |
139 | p/tlen | 2017-09-28 20:22 | 1.0.0 | 23 | N/A | 1815.1928573615749 | |
138 | p/tlen | 2017-09-28 20:15 | 1.0.0 | 22 | N/A | 1716.5734249755628 | |
137 | p/tlen | 2017-09-28 19:24 | 1.0.0 | wersja 2100 stupid | N/A | 1618.1234616827594 | |
136 | p/tlen | 2017-09-28 19:23 | 1.0.0 | wersja 2000 | N/A | 1519.875899922114 | |
66 | [anonymized] | 2016-12-12 20:09 | 1.0.0 | M^2 regresja liniowa | 1328.6483035690949 | 355.53801762906545 | |
28 | [anonymized] | 2016-12-12 11:14 | 1.0.0 | chyze szynszyle: mean estimator | N/A | 331.6929603719556 | |
76 | [anonymized] | 2016-12-12 10:12 | 1.0.0 | chyze szynszyle: ostatni raz k-nn | N/A | 361.9398271636192 | |
69 | [anonymized] | 2016-12-12 10:10 | 1.0.0 | chyze szynszyle: ostatni raz random forest | N/A | 359.3292851475514 | |
90 | [anonymized] | 2016-12-12 00:26 | 1.0.0 | one more try | 1327.5057051760969 | 363.8063063708608 | |
71 | [anonymized] | 2016-12-12 00:09 | 1.0.0 | chyze szynszyle: linear model | N/A | 359.92957099843335 | |
57 | [anonymized] | 2016-12-12 00:07 | 1.0.0 | Foki: wynik v2 | N/A | 351.29651780980663 | |
106 | [anonymized] | 2016-12-11 23:44 | 1.0.0 | one more try | 1327.5057051760969 | 365.73798967528444 | |
92 | [anonymized] | 2016-12-11 23:38 | 1.0.0 | one more try | 1327.5057051760969 | 363.84987565952815 | |
166 | [anonymized] | 2016-12-11 23:35 | 1.0.0 | one more try | 1327.5057051760969 | N/A | |
73 | [anonymized] | 2016-12-11 23:35 | 1.0.0 | chyze szynszyle: bez normalizacji na dzielnicach | N/A | 361.0180616219466 | |
75 | [anonymized] | 2016-12-11 23:34 | 1.0.0 | chyze szynszyle: k-nn, dodanie nowych cech | N/A | 361.77708386344295 | |
56 | [anonymized] | 2016-12-11 23:29 | 1.0.0 | Foki: wyniki | N/A | 351.29651780980663 | |
79 | [anonymized] | 2016-12-11 23:28 | 1.0.0 | chyze szynszyle: k-nn bez normalizacji danych, hehe | N/A | 361.95033283126736 | |
74 | [anonymized] | 2016-12-11 23:24 | 1.0.0 | chyze szynszyle: k-nn, wszystkie cechy | N/A | 361.29959857775646 | |
63 | [anonymized] | 2016-12-11 23:22 | 1.0.0 | chyze szynszyle: jeszcze więcej słów w bag of words | N/A | 354.2042311088168 | |
78 | [anonymized] | 2016-12-11 23:14 | 1.0.0 | chyze szynszyle: ostatni krzyk szynszyli | N/A | 361.95007934207376 | |
55 | [anonymized] | 2016-12-11 23:12 | 1.0.0 | testoza | N/A | 351.29651780980663 | |
141 | [anonymized] | 2016-12-11 23:11 | 1.0.0 | chyze szynszyle: bez usuwania outliers | N/A | 3818.6669411345397 | |
65 | [anonymized] | 2016-12-11 23:10 | 1.0.0 | chyze szynszyle: nie pamiętam co zmieniłem | N/A | 355.1413019820511 | |
165 | [anonymized] | 2016-12-11 23:09 | 1.0.0 | testoza | N/A | N/A | |
59 | [anonymized] | 2016-12-11 23:06 | 1.0.0 | chyze szynszyle: k-nn using bag of words, more words, more train data | N/A | 351.71261766533803 | |
70 | [anonymized] | 2016-12-11 23:04 | 1.0.0 | chyze szynszyle: k-nn using all features and bag of words, more train data | N/A | 359.46585695328304 | |
164 | [anonymized] | 2016-12-11 23:02 | 1.0.0 | Foki: prace nad wynikiem | N/A | N/A | |
101 | [anonymized] | 2016-12-11 22:59 | 1.0.0 | chyze szynszyle: k-nn using bag of words, less words | N/A | 364.87618001757806 | |
77 | [anonymized] | 2016-12-11 22:58 | 1.0.0 | chyze szynszyle: k-nn using all features and bag of words | N/A | 361.95007934207376 | |
68 | [anonymized] | 2016-12-11 22:56 | 1.0.0 | chyze szynszyle: k-nn using bag of words, more words | N/A | 358.3581782433502 | |
60 | [anonymized] | 2016-12-11 22:53 | 1.0.0 | chyze szynszyle: k-nn using bag of words | N/A | 352.6069548339578 | |
158 | [anonymized] | 2016-12-11 22:53 | 1.0.0 | Foki: wyjście | N/A | N/A | |
133 | [anonymized] | 2016-12-11 22:52 | 1.0.0 | chyze szynszyle: regresja liniowa usuniete dane odstajace | N/A | 584.4432387046777 | |
72 | [anonymized] | 2016-12-11 22:50 | 1.0.0 | chyze szynszyle: random forest | N/A | 360.7676814116051 | |
163 | [anonymized] | 2016-12-11 22:31 | 1.0.0 | Foki: liczba wyników | N/A | N/A | |
162 | [anonymized] | 2016-12-11 22:27 | 1.0.0 | Foki: prace nad wynikiem | N/A | N/A | |
161 | [anonymized] | 2016-12-11 22:23 | 1.0.0 | Foki: konwertowanie | N/A | N/A | |
160 | [anonymized] | 2016-12-11 22:07 | 1.0.0 | Foki: testowanie zbioru | N/A | N/A | |
159 | [anonymized] | 2016-12-11 21:37 | 1.0.0 | Foki: zapis do pliku | N/A | N/A | |
157 | [anonymized] | 2016-12-11 21:35 | 1.0.0 | Foki: zapis do pliku | N/A | N/A | |
1 | [anonymized] | 2016-12-11 21:33 | 1.0.0 | zpd: En final | N/A | 292.0697770526135 | |
51 | [anonymized] | 2016-12-11 20:47 | 1.0.0 | darkside: Lr + 1 additional feature | N/A | 349.8628821621377 | |
50 | [anonymized] | 2016-12-11 20:39 | 1.0.0 | LR with other feature | N/A | 349.8628821621377 | |
82 | [anonymized] | 2016-12-11 20:32 | 1.0.0 | chyże szynszyle: k-nn add new feature | 1328.0201297150877 | 363.2784649327984 | |
54 | [anonymized] | 2016-12-11 20:31 | 1.0.0 | LR + 1 feature | N/A | 351.2965178098064 | |
156 | [anonymized] | 2016-12-11 20:26 | 1.0.0 | Foki: pierwsze przymiarki | N/A | N/A | |
128 | [anonymized] | 2016-12-11 19:54 | 1.0.0 | chyże szynszyle: k-nn, add more train examples | 1332.2639850037515 | 378.8273866325867 | |
38 | [anonymized] | 2016-12-11 19:30 | 1.0.0 | chyze szynszyle: regresja liniowa glm | N/A | 338.1134778534156 | |
53 | [anonymized] | 2016-12-11 19:08 | 1.0.0 | LR + 2 new features | N/A | 351.2542022156315 | |
125 | [anonymized] | 2016-12-11 18:02 | 1.0.0 | test | 1327.5057051760969 | 374.0284911395515 | |
37 | [anonymized] | 2016-12-11 17:54 | 1.0.0 | chyze szynszyle: regresja liniowa | N/A | 338.1134778534156 | |
155 | [anonymized] | 2016-12-11 17:47 | 1.0.0 | chyze szynszyle: regresja liniowa | N/A | N/A | |
52 | [anonymized] | 2016-12-11 17:33 | 1.0.0 | test | 1327.5057051760969 | 350.7309289590218 | |
46 | [anonymized] | 2016-12-11 17:18 | 1.0.0 | mean | 1327.5057051760969 | 347.75058462465176 | |
81 | [anonymized] | 2016-12-11 16:43 | 1.0.0 | test | 1327.5057051760969 | 363.04982737268864 | |
132 | [anonymized] | 2016-12-11 16:38 | 1.0.0 | test | 1327.5057051760969 | 420.4795898961904 | |
134 | [anonymized] | 2016-12-11 16:37 | 1.0.0 | test | 1327.5057051760969 | 585.6428197176216 | |
93 | [anonymized] | 2016-12-11 16:07 | 1.0.0 | test | 1329.505828593376 | 363.9546262608084 | |
113 | [anonymized] | 2016-12-11 14:40 | 1.0.0 | chyze_szynszyle: solution using svm | 1332.2639850037515 | 366.6514188616088 | |
109 | [anonymized] | 2016-12-11 14:34 | 1.0.0 | chyze szynszyle: first solution using k-NN | 1328.4599597449453 | 366.1710954626986 | |
13 | [anonymized] | 2016-12-11 12:30 | 1.0.0 | En3 + new feature | N/A | 295.6836138214144 | |
97 | [anonymized] | 2016-12-11 02:20 | 1.0.0 | linear model, fixed bug | 1329.616224645464 | 364.39422791956554 | |
49 | [anonymized] | 2016-12-10 19:56 | 1.0.0 | LR no1 | N/A | 349.85164999195206 | |
154 | [anonymized] | 2016-12-10 19:25 | 1.0.0 | LR | N/A | N/A | |
102 | [anonymized] | 2016-12-10 16:31 | 1.0.0 | words counting | N/A | 364.90878916892314 | |
10 | [anonymized] | 2016-12-10 12:52 | 1.0.0 | En3 | N/A | 294.7376696265167 | |
9 | [anonymized] | 2016-12-10 12:31 | 1.0.0 | En2 | N/A | 293.7742009899776 | |
12 | [anonymized] | 2016-12-10 12:27 | 1.0.0 | En1 | N/A | 295.31322637037925 | |
153 | [anonymized] | 2016-12-10 12:21 | 1.0.0 | En1 | N/A | N/A | |
40 | [anonymized] | 2016-12-10 12:00 | 1.0.0 | LR + multi | N/A | 338.54886464751775 | |
39 | [anonymized] | 2016-12-10 11:48 | 1.0.0 | LR + 2 new features | N/A | 338.4197524203438 | |
108 | [anonymized] | 2016-12-09 22:42 | 1.0.0 | submission | N/A | 365.9453347939574 | |
107 | [anonymized] | 2016-12-09 20:48 | 1.0.0 | N/A | 365.76184294457374 | ||
111 | [anonymized] | 2016-12-09 20:39 | 1.0.0 | submission | N/A | 366.58788736362294 | |
18 | [anonymized] | 2016-12-09 17:39 | 1.0.0 | MLP + new feature | N/A | 318.98492916093164 | |
17 | [anonymized] | 2016-12-09 17:31 | 1.0.0 | MLP | N/A | 317.4839843506789 | |
27 | [anonymized] | 2016-12-09 17:27 | 1.0.0 | SVR | N/A | 331.5277362395748 | |
35 | [anonymized] | 2016-12-09 17:15 | 1.0.0 | LR + new feature (no noise) | N/A | 336.8815753908138 | |
36 | [anonymized] | 2016-12-09 17:05 | 1.0.0 | LR + new feature | N/A | 337.3735483512773 | |
152 | [anonymized] | 2016-12-09 16:49 | 1.0.0 | MLP | N/A | N/A | |
32 | [anonymized] | 2016-12-08 21:59 | 1.0.0 | LR2 | N/A | 335.4422247101907 | |
151 | [anonymized] | 2016-12-08 21:52 | 1.0.0 | LR | N/A | N/A | |
150 | [anonymized] | 2016-12-08 21:26 | 1.0.0 | test5 | N/A | N/A | |
149 | [anonymized] | 2016-12-08 16:48 | 1.0.0 | test4 | N/A | N/A | |
148 | [anonymized] | 2016-12-08 16:06 | 1.0.0 | test3 | N/A | N/A | |
147 | [anonymized] | 2016-12-08 15:55 | 1.0.0 | test2 | N/A | N/A | |
146 | [anonymized] | 2016-12-08 15:40 | 1.0.0 | test | N/A | N/A | |
145 | [anonymized] | 2016-12-08 12:04 | 1.0.0 | LP | N/A | N/A | |
103 | [anonymized] | 2016-12-07 17:21 | 1.0.0 | falstart | N/A | 365.16076725827764 | |
144 | [anonymized] | 2016-12-07 17:10 | 1.0.0 | first submission | N/A | N/A | |
3 | [anonymized] | 2016-12-07 16:25 | 1.0.0 | code, no data | N/A | 292.22184602569035 | |
119 | [anonymized] | 2016-12-06 05:26 | 1.0.0 | experiment | 1329.6603072386258 | 368.6754311609567 | |
85 | [anonymized] | 2016-12-06 04:11 | 1.0.0 | test | 1329.6603072386258 | 363.59180218454554 | |
87 | [anonymized] | 2016-12-06 01:52 | 1.0.0 | test | 1329.659719498618 | 363.59623819598266 | |
120 | [anonymized] | 2016-12-06 00:52 | 1.0.0 | random experiment | 1327.7318270046173 | 369.173547818869 | |
99 | [anonymized] | 2016-12-06 00:49 | 1.0.0 | random experiment | 1329.1373665362448 | 364.56332530555443 | |
86 | [anonymized] | 2016-12-06 00:20 | 1.0.0 | test | 1329.6597218389416 | 363.59574257045915 | |
84 | [anonymized] | 2016-12-05 23:50 | 1.0.0 | test | 1329.6600205143388 | 363.5073862555861 | |
43 | [anonymized] | 2016-12-05 23:42 | 1.0.0 | test | 1332.3102422325658 | 339.82592555904745 | |
44 | [anonymized] | 2016-12-05 22:43 | 1.0.0 | test 3 | 0.0 | 340.7950072240639 | |
42 | [anonymized] | 2016-12-05 22:39 | 1.0.0 | test 2 | 0.0 | 339.82592555904745 | |
41 | [anonymized] | 2016-12-05 22:37 | 1.0.0 | test 1 | N/A | 339.82592555904745 | |
80 | [anonymized] | 2016-12-05 22:26 | 1.0.0 | trivial linear model | N/A | 362.4348555413414 | |
123 | [anonymized] | 2016-12-05 22:18 | 1.0.0 | first test, poor solution | N/A | 372.7609380275838 | |
2 | [anonymized] | 2016-12-04 17:23 | 1.0.0 | even closer to mean + 510 | N/A | 292.22184602569035 | |
62 | [anonymized] | 2016-12-04 17:15 | 1.0.0 | even closer to mean | N/A | 352.8661218224335 | |
61 | [anonymized] | 2016-12-04 16:56 | 1.0.0 | simple solution, closer to mean | N/A | 352.74576996991243 | |
122 | [anonymized] | 2016-12-04 16:40 | 1.0.0 | simple solution, rm only | N/A | 370.5591403336245 | |
100 | [anonymized] | 2016-12-04 16:36 | 1.0.0 | simple solution, mtr only | N/A | 364.5747308803998 | |
95 | [anonymized] | 2016-12-04 16:31 | 1.0.0 | simple solution, mtr+fltTp | N/A | 364.17863255958116 | |
94 | [anonymized] | 2016-12-04 16:22 | 1.0.0 | simple solution, warm start | N/A | 364.06053397788173 | |
98 | [anonymized] | 2016-12-04 16:18 | 1.0.0 | simple solution, learningRate = optimal | N/A | 364.48804081473656 | |
126 | [anonymized] | 2016-12-04 16:13 | 1.0.0 | simple solution, learningRate = constant | N/A | 374.50148708155734 | |
104 | [anonymized] | 2016-12-04 16:10 | 1.0.0 | simple solution, power_t = 0.7 | N/A | 365.3526163354973 | |
83 | [anonymized] | 2016-12-04 16:03 | 1.0.0 | simple solution, penalty = elastic net | N/A | 363.3668235609241 | |
91 | [anonymized] | 2016-12-04 15:58 | 1.0.0 | simple solution, penalty = l1 | N/A | 363.81478077037843 | |
88 | [anonymized] | 2016-12-04 15:50 | 1.0.0 | simple solution, penalty = l2 | N/A | 363.6112304616613 | |
121 | [anonymized] | 2016-12-04 15:44 | 1.0.0 | simple solution, loss method = eps_ins_sqr | N/A | 370.29496922318157 | |
89 | [anonymized] | 2016-12-04 15:38 | 1.0.0 | simple solution, loss method = eps_insens | N/A | 363.6631027727898 | |
96 | [anonymized] | 2016-12-04 15:30 | 1.0.0 | simple solution, loss method = huber | N/A | 364.17868976209684 | |
118 | [anonymized] | 2016-12-04 15:23 | 1.0.0 | simple solution, l1=0.8 | N/A | 368.15445413529716 | |
116 | [anonymized] | 2016-12-04 14:38 | 1.0.0 | simple solution, l1=0.4 | N/A | 368.0086017841721 | |
124 | [anonymized] | 2016-12-04 14:09 | 1.0.0 | simple solution, but more epochs | N/A | 373.5684309782851 | |
117 | [anonymized] | 2016-12-04 13:38 | 1.0.0 | simple solution | N/A | 368.1409953155817 | |
5 | [anonymized] | 2016-12-04 13:28 | 1.0.0 | Also mean, but better | N/A | 292.3098465176517 | |
115 | [anonymized] | 2016-12-03 21:15 | 1.0.0 | Klol | N/A | 367.77012621849826 | |
114 | [anonymized] | 2016-12-03 21:15 | 1.0.0 | Klol | N/A | 367.77012621849826 | |
127 | [anonymized] | 2016-12-03 20:51 | 1.0.0 | idk | N/A | 375.61632519866384 | |
142 | [anonymized] | 2016-12-03 20:18 | 1.0.0 | 0.1kmr | N/A | 16807.21832927793 | |
64 | [anonymized] | 2016-12-03 19:52 | 1.0.0 | nowy regresor | N/A | 354.9719069452974 | |
7 | [anonymized] | 2016-12-03 00:48 | 1.0.0 | bigger lower | N/A | 292.96246525926296 | |
25 | [anonymized] | 2016-12-03 00:45 | 1.0.0 | stupid RMSE prediction * p | N/A | 329.5661679702471 | |
130 | [anonymized] | 2016-12-03 00:42 | 1.0.0 | stupid RMSE prediction * 1,36 | N/A | 397.80434024566523 | |
45 | [anonymized] | 2016-12-03 00:36 | 1.0.0 | stupid RMSE prediction * 1,36 | N/A | 341.5498570301739 | |
20 | [anonymized] | 2016-12-03 00:35 | 1.0.0 | stupid RMSE prediction | N/A | 321.05805283132815 | |
21 | [anonymized] | 2016-12-03 00:33 | 1.0.0 | stupid RMSE prediction | N/A | 322.3068282333366 | |
143 | [anonymized] | 2016-12-03 00:32 | 1.0.0 | stupid RMSE prediction | N/A | N/A | |
4 | [anonymized] | 2016-12-03 00:03 | 1.0.0 | xxx | N/A | 292.30299093634284 | |
11 | [anonymized] | 2016-12-03 00:02 | 1.0.0 | xxx | N/A | 295.23101622964475 | |
6 | [anonymized] | 2016-12-03 00:02 | 1.0.0 | xxx | N/A | 292.4225707805701 | |
8 | [anonymized] | 2016-12-02 23:59 | 1.0.0 | xxx | N/A | 293.68486969043715 | |
14 | [anonymized] | 2016-12-02 23:41 | 1.0.0 | xxx | N/A | 298.09489572927316 | |
15 | [anonymized] | 2016-12-02 23:40 | 1.0.0 | xxx | N/A | 305.40191720846076 | |
16 | [anonymized] | 2016-12-02 23:35 | 1.0.0 | xxx | N/A | 315.40465311938704 | |
19 | [anonymized] | 2016-12-02 23:31 | 1.0.0 | xxx | N/A | 319.29612681795334 | |
22 | [anonymized] | 2016-12-02 23:30 | 1.0.0 | xxx | N/A | 323.450054865558 | |
24 | [anonymized] | 2016-12-02 23:30 | 1.0.0 | xxx | N/A | 327.8564615561483 | |
29 | [anonymized] | 2016-12-02 23:26 | 1.0.0 | means increased | N/A | 332.02980082598793 | |
31 | [anonymized] | 2016-12-02 23:25 | 1.0.0 | means increased | N/A | 333.46328891501844 | |
26 | [anonymized] | 2016-12-02 23:24 | 1.0.0 | means increased | N/A | 330.15120790315325 | |
23 | [anonymized] | 2016-12-02 23:23 | 1.0.0 | means increased | N/A | 327.8564615561483 | |
30 | [anonymized] | 2016-12-02 23:22 | 1.0.0 | means increased | N/A | 332.5053093947581 | |
33 | [anonymized] | 2016-12-02 23:05 | 1.0.0 | means unfiltered | N/A | 336.50967015783175 | |
67 | [anonymized] | 2016-12-02 23:01 | 1.0.0 | at_least_means | N/A | 356.876236925264 | |
112 | [anonymized] | 2016-12-01 19:22 | 1.0.0 | at_least_we_tried team first solution | N/A | 366.6414339725286 | |
58 | [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 | 1331.8335741552555 | 351.31511293654745 | |
131 | [anonymized] | 2016-11-23 13:05 | 1.0.0 | VW with NN, ngrams = 3, passes = 100 | 1339.3346346443586 | 406.5652039389791 | |
129 | [anonymized] | 2016-11-23 11:12 | 1.0.0 | pitu pitu | 1342.5609010811486 | 383.29382114352774 | |
34 | [anonymized] | 2016-11-16 09:36 | 1.0.0 | admin: always mean price | N/A | 336.50967280038304 |