Cars challenge
Predict the price of a car. [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 | |
|---|---|---|---|---|---|---|---|
| 9 | [anonymized] | 2019-06-05 16:05 | 1.0.0 | Cars challenge umz-2019-challenge | 31852.7 | 29589.4 | |
| 51 | [anonymized] | 2019-06-01 16:02 | 1.0.0 | rand xgb first try | 34357.2 | 58521.7 | |
| 59 | [anonymized] | 2019-06-01 15:52 | 1.0.0 | rand forest regressor commit4 | 25374.2 | 60969.2 | |
| 62 | [anonymized] | 2019-06-01 15:40 | 1.0.0 | rand forest regressor commit3 | 24440.6 | 64181.8 | |
| 61 | [anonymized] | 2019-06-01 15:37 | 1.0.0 | rand forest regressor commit2 | 23650.6 | 63857.3 | |
| 48 | [anonymized] | 2019-06-01 15:30 | 1.0.0 | rand forest regressor commit1 ready-made random-forest zumz-2019-challenge | 31970.8 | 56611.7 | |
| 3 | [anonymized] | 2019-05-18 15:20 | 1.0.0 | Experiments umz-2019-challenge | 14754.7 | 16420.2 | |
| 4 | [anonymized] | 2019-04-25 14:04 | 1.0.0 | random-forrest-regressor ready-made zumz-2019-challenge | 14963.4 | 16620.2 | |
| 7 | [anonymized] | 2019-04-21 15:48 | 1.0.0 | cars third solution | 16760.1 | 17865.3 | |
| 6 | [anonymized] | 2019-04-21 15:43 | 1.0.0 | cars second solution | 14753.2 | 17665.5 | |
| 5 | [anonymized] | 2019-04-21 10:15 | 1.0.0 | cars solution umz-2019-challenge | 16292.0 | 17573.4 | |
| 1 | Artur Nowakowski | 2019-04-20 22:57 | 1.0.0 | UMZ challenge solution umz-2019-challenge | 16846.9 | 14413.2 | |
| 2 | Artur Nowakowski | 2019-04-18 19:21 | 1.0.0 | UMZ 2019 challenge basic solution umz-2019-challenge | 16088.9 | 16213.5 | |
| 50 | [anonymized] | 2019-01-26 19:23 | 1.0.0 | solution3 | 58085.7 | 58224.6 | |
| 76 | [anonymized] | 2019-01-26 17:37 | 1.0.0 | solution1 | N/A | N/A | |
| 32 | [anonymized] | 2018-02-16 02:37 | 1.0.0 | linear-regression self-made self-made linear-regression | 39779.5 | 37421.7 | |
| 75 | [anonymized] | 2018-02-16 00:27 | 1.0.0 | linear-regression self-made self-made linear-regression | N/A | N/A | |
| 44 | [anonymized] | 2018-02-05 18:15 | 1.0.0 | neural network... neural-network | 49303.0 | 45222.5 | |
| 57 | [anonymized] | 2018-01-28 23:51 | 1.0.0 | UMZ-2017-09b neural-network | 63634.2 | 60960.2 | |
| 58 | [anonymized] | 2018-01-28 23:38 | 1.0.0 | UMZ-2017-09b | 63634.2 | 60960.2 | |
| 41 | [anonymized] | 2018-01-27 13:54 | 1.0.0 | Neural network for regression v2 neural-network | 47453.2 | 43662.0 | |
| 42 | [anonymized] | 2018-01-27 13:17 | 1.0.0 | Neural network for regression v1 | 47978.3 | 44199.6 | |
| 8 | [anonymized] | 2018-01-23 22:29 | 1.0.0 | siec neuronowa neural-network | 32259.5 | 29229.5 | |
| 36 | [anonymized] | 2018-01-09 15:21 | 1.0.0 | NeuralNetwork neural-network | 40416.2 | 39260.9 | |
| 63 | [anonymized] | 2017-12-20 18:18 | 1.0.0 | mileage year capacity nn neural-network | 96247.2 | 72988.0 | |
| 27 | [anonymized] | 2017-12-17 21:36 | 1.0.0 | regresja wielu zmiennych linear-regression multidimensional | 34299.4 | 32715.7 | |
| 73 | [anonymized] | 2017-12-17 21:06 | 1.0.0 | regresja wielu zmiennych | N/A | N/A | |
| 28 | [anonymized] | 2017-12-17 19:20 | 1.0.0 | proba, chyba nienajlepiej linear-regression | N/A | 36736.4 | |
| 56 | testowe3 | 2017-12-17 18:35 | 1.0.0 | a | N/A | 60516.6 | |
| 30 | [anonymized] | 2017-12-17 14:19 | 1.0.0 | Po merge - self made self-made linear-regression multidimensional | 38112.5 | 37258.1 | |
| 29 | [anonymized] | 2017-12-17 14:06 | 1.0.0 | Merged linear-regression multidimensional | 38112.5 | 37258.1 | |
| 55 | testowe3 | 2017-12-17 08:53 | 1.0.0 | a | N/A | 60516.6 | |
| 54 | testowe3 | 2017-12-17 08:35 | 1.0.0 | test commit stupid | N/A | 60516.6 | |
| 23 | [anonymized] | 2017-12-17 07:51 | 1.0.0 | Zadanie 004a z kodem programu linear-regression multidimensional | 34136.8 | 32696.6 | |
| 22 | [anonymized] | 2017-12-17 07:48 | 1.0.0 | usuniety kod poprzedniego zadania | 34136.8 | 32696.6 | |
| 21 | [anonymized] | 2017-12-17 00:09 | 1.0.0 | zadanie 004a linear-regression multidimensional | 34136.8 | 32696.6 | |
| 74 | [anonymized] | 2017-12-17 00:05 | 1.0.0 | usuniete rozwiazania poprzedniego zadania | N/A | N/A | |
| 15 | [anonymized] | 2017-12-16 20:28 | 1.0.0 | my brilliant solution linear-regression multidimensional | 33432.9 | 31977.6 | |
| 43 | [anonymized] | 2017-12-16 09:20 | 1.0.0 | gradient descent multiple variables self-made linear-regression multidimensional | 47476.2 | 45052.4 | |
| 46 | kubapok | 2017-12-14 22:51 | 1.0.0 | mean price stupid | N/A | 47406.7 | |
| 25 | [anonymized] | 2017-12-10 19:24 | 1.0.0 | Zadanie 4: Regresja liniowa z wieloma zmiennymi linear-regression multidimensional | 34136.8 | 32696.6 | |
| 72 | [anonymized] | 2017-12-09 22:29 | 1.0.0 | próba poprzez github ready-made linear-regression | N/A | N/A | |
| 33 | [anonymized] | 2017-12-09 17:09 | 1.0.0 | Gotowe rozwiazanie; koniec lini zamieniony na LF w dev ready-made linear-regression | 44913.3 | 38846.6 | |
| 34 | [anonymized] | 2017-12-09 17:07 | 1.0.0 | Gotowe rozwiazanie; koniec lini zamieniony na LF ready-made linear-regression | N/A | 38846.6 | |
| 71 | [anonymized] | 2017-12-09 17:02 | 1.0.0 | Gotowe rozwiazanie ready-made linear-regression | N/A | N/A | |
| 70 | [anonymized] | 2017-12-09 16:58 | 1.0.0 | geval output neural-network | 51255.8 | N/A | |
| 69 | [anonymized] | 2017-12-09 16:34 | 1.0.0 | UMZ-2017-zaoczne-003 ready-made linear-regression | 51255.8 | N/A | |
| 40 | [anonymized] | 2017-12-09 16:28 | 1.0.0 | dodano kod programu ready-made linear-regression | 44785.1 | 42002.8 | |
| 38 | [anonymized] | 2017-12-09 12:31 | 1.0.0 | regresja liniowa auta ready-made linear-regression | 44734.3 | 41710.2 | |
| 68 | [anonymized] | 2017-12-08 22:58 | 1.0.0 | 'auta' linear-regression | N/A | N/A | |
| 39 | [anonymized] | 2017-12-08 00:24 | 1.0.0 | usuniete znaki \r ready-made linear-regression | 44785.1 | 42002.8 | |
| 35 | [anonymized] | 2017-12-06 15:28 | 1.0.0 | Zadanie 2: Regresja liniowa z jedna zmienna dla ceny samochodu ready-made linear-regression | 41960.4 | 38846.6 | |
| 47 | [anonymized] | 2017-11-12 17:12 | 1.0.0 | all variables used self-made linear-regression | N/A | 55868.9 | |
| 49 | [anonymized] | 2017-11-11 22:19 | 1.0.0 | my brilliant solution self-made linear-regression | N/A | 57811.2 | |
| 64 | [anonymized] | 2017-11-10 11:48 | 1.0.0 | Linear Regression - self-made DW self-made linear-regression | 96522.0 | 89110.7 | |
| 19 | [anonymized] | 2017-11-09 18:57 | 1.0.0 | Multilinear regresion self-made linear-regression | N/A | 32687.9 | |
| 31 | [anonymized] | 2017-11-09 17:49 | 1.0.0 | lin. regression (multiple variables) python self-made linear-regression | N/A | 37421.7 | |
| 13 | [anonymized] | 2017-11-05 17:00 | 1.0.0 | my brilliant solution linear-regression | N/A | 31875.2 | |
| 37 | [anonymized] | 2017-11-04 10:10 | 1.0.0 | linear-regression solution (one variable) python ready-made linear-regression scikit-learn | N/A | 41710.2 | |
| 53 | [anonymized] | 2017-11-03 09:34 | 1.0.0 | stupid | N/A | 60207.2 | |
| 52 | [anonymized] | 2017-11-03 09:30 | 1.0.0 | test | N/A | 60206.9 | |
| 45 | [anonymized] | 2017-10-28 15:41 | 1.0.0 | LR-selfmade self-made linear-regression | 50156.7 | 47228.7 | |
| 16 | [anonymized] | 2017-10-22 21:08 | 1.0.0 | LR linear-regression | 33432.9 | 31977.6 | |
| 10 | [anonymized] | 2017-10-16 19:01 | 1.0.0 | Trick with brands and standarization ready-made linear-regression scikit-learn | N/A | 30907.2 | |
| 12 | [anonymized] | 2017-10-16 18:56 | 1.0.0 | Standarize data & trick with brands | N/A | 31455.4 | |
| 14 | [anonymized] | 2017-10-16 18:53 | 1.0.0 | Standarize data & set one brand to 1 | N/A | 31932.8 | |
| 17 | [anonymized] | 2017-10-16 18:50 | 1.0.0 | Standarize data | N/A | 32614.5 | |
| 67 | [anonymized] | 2017-10-16 16:27 | 1.0.0 | Linear regression with normalization | N/A | 132660.2 | |
| 26 | [anonymized] | 2017-10-16 16:25 | 1.0.0 | Linear regression linear-regression | N/A | 32697.7 | |
| 24 | [anonymized] | 2017-10-16 16:11 | 1.0.0 | mój pierwszy komit linear-regression | N/A | 32696.6 | |
| 65 | [anonymized] | 2017-10-16 16:09 | 1.0.0 | Normalized | 149870.0 | 132562.8 | |
| 66 | [anonymized] | 2017-10-16 16:02 | 1.0.0 | Normalized | 149870.0 | 132562.8 | |
| 18 | [anonymized] | 2017-10-16 15:55 | 1.0.0 | Added dummies linear-regression | 34140.5 | 32641.1 | |
| 20 | [anonymized] | 2017-10-16 15:52 | 1.0.0 | Simple regression | 34136.6 | 32696.5 | |
| 11 | [anonymized] | 2017-10-09 06:54 | 1.0.0 | Naive linear regression python ready-made linear-regression scikit-learn | 32828.6 | 31154.6 | |
| 60 | [anonymized] | 2017-10-09 06:52 | 1.0.0 | Baseline (always 0.0) stupid python | 64086.2 | 61460.8 |