Mushroom classification challenge
Predict whether the mushroom is edible (e) or poisonous (p). [ver. 1.0.0]
Git repo URL: git://gonito.net/mushrooms / Branch: master
Run git clone --single-branch git://gonito.net/mushrooms -b master to get the challenge data
Browse at https://gonito.net/gitlist/mushrooms.git/master
Leaderboard
| # | submitter | when | ver. | description | test-A Accuracy | × | |
|---|---|---|---|---|---|---|---|
| 1 | [anonymized] | 2018-01-14 13:28 | 1.0.0 | KNN knn | 1.0000 | 13 | |
| 2 | [anonymized] | 2018-01-15 16:50 | 1.0.0 | knn mushrooms knn | 1.0000 | 5 | |
| 3 | [anonymized] | 2019-06-10 12:19 | 1.0.0 | grzybki knn knn | 1.0000 | 4 | |
| 4 | kaczla | 2018-01-28 17:58 | 1.0.0 | Simple neural network neural-network | 1.0000 | 4 | |
| 5 | [anonymized] | 2017-12-11 17:23 | 1.0.0 | K nearest neighbors python ready-made knn | 1.0000 | 3 | |
| 6 | [anonymized] | 2018-01-07 15:08 | 1.0.0 | knn knn | 1.0000 | 3 | |
| 7 | [anonymized] | 2018-01-22 10:34 | 1.0.0 | Neural network for classification v8 neural-network | 1.0000 | 16 | |
| 8 | [anonymized] | 2018-01-04 17:13 | 1.0.0 | Avoid nearby toadstools! knn | 1.0000 | 4 | |
| 9 | [anonymized] | 2018-01-27 15:53 | 1.0.0 | mushroom neural network 2 neural-network | 1.0000 | 5 | |
| 10 | [anonymized] | 2018-01-24 19:56 | 1.0.0 | neural-network neural-network | 1.0000 | 4 | |
| 11 | [anonymized] | 2018-02-13 23:39 | 1.0.0 | knn k=3 knn | 1.0000 | 14 | |
| 12 | [anonymized] | 2018-01-29 15:14 | 1.0.0 | bestacc-lowestk knn | 1.0000 | 10 | |
| 13 | [anonymized] | 2018-01-28 22:26 | 1.0.0 | nn2 python neural-network | 1.0000 | 6 | |
| 14 | [anonymized] | 2018-01-27 03:02 | 1.0.0 | UMZ-2017-10 neural-network | 1.0000 | 10 | |
| 15 | [anonymized] | 2017-12-27 20:35 | 1.0.0 | Task 8. knn | 1.0000 | 3 | |
| 16 | [anonymized] | 2018-01-20 15:41 | 1.0.0 | mushroms - knn knn | 1.0000 | 4 | |
| 17 | [anonymized] | 2018-02-23 23:43 | 1.0.0 | knn knn | 1.0000 | 2 | |
| 18 | [anonymized] | 2019-04-29 09:21 | 1.0.0 | knn knn | 1.0000 | 3 | |
| 19 | [anonymized] | 2019-04-15 16:21 | 1.0.0 | k nearest neighbors knn | 1.0000 | 4 | |
| 20 | [anonymized] | 2019-04-17 05:37 | 1.0.0 | k nearest neighbors solution knn | 1.0000 | 3 | |
| 21 | [anonymized] | 2019-05-17 17:06 | 1.0.0 | knn knn umz-2019-challenge | 1.0000 | 2 | |
| 22 | [anonymized] | 2019-05-19 19:13 | 1.0.0 | Zadanie06 knn | 1.0000 | 4 | |
| 23 | [anonymized] | 2019-05-12 22:49 | 1.0.0 | UMZ2019-06 - K nearest neighbors knn umz-2019-challenge | 1.0000 | 4 | |
| 24 | [anonymized] | 2019-05-19 20:05 | 1.0.0 | knn knn | 1.0000 | 2 | |
| 25 | [anonymized] | 2019-05-12 22:04 | 1.0.0 | psylocybinka knn | 1.0000 | 3 | |
| 26 | [anonymized] | 2019-05-20 12:26 | 1.0.0 | KNN MUSH knn | 1.0000 | 1 | |
| 27 | [anonymized] | 2019-06-10 20:48 | 1.0.0 | knn knn | 1.0000 | 5 | |
| 28 | [anonymized] | 2019-04-15 12:33 | 1.0.0 | KNN knn | 1.0000 | 5 | |
| 29 | [anonymized] | 2019-04-15 11:45 | 1.0.0 | knn for n=3 knn | 1.0000 | 21 | |
| 30 | [anonymized] | 2019-05-14 12:28 | 1.0.0 | knnashrooms knn | 1.0000 | 3 | |
| 31 | [anonymized] | 2019-04-29 12:20 | 1.0.0 | knn knn | 1.0000 | 8 | |
| 32 | [anonymized] | 2019-05-14 12:58 | 1.0.0 | w lesie knn | 1.0000 | 4 | |
| 33 | [anonymized] | 2019-05-14 12:19 | 1.0.0 | KNeighborsClassifier knn | 1.0000 | 4 | |
| 34 | [anonymized] | 2019-05-07 14:08 | 1.0.0 | solution with KNN ready-made knn umz-2019-challenge | 1.0000 | 5 | |
| 35 | [anonymized] | 2019-05-13 16:35 | 1.0.0 | knn knn | 1.0000 | 4 | |
| 36 | [anonymized] | 2019-04-21 19:56 | 1.0.0 | K nearest neighbors knn | 1.0000 | 3 | |
| 37 | [anonymized] | 2019-04-27 19:16 | 1.0.0 | KNN solution knn | 1.0000 | 4 | |
| 38 | [anonymized] | 2019-05-07 12:40 | 1.0.0 | knn solution knn | 1.0000 | 3 | |
| 39 | [anonymized] | 2019-04-30 12:09 | 1.0.0 | grzybki KNN knn | 1.0000 | 4 | |
| 40 | [anonymized] | 2019-04-25 01:17 | 1.0.0 | sąsiedzi knn umz-2019-challenge | 1.0000 | 3 | |
| 41 | [anonymized] | 2019-04-30 12:31 | 1.0.0 | my mushrooms logistic-regression knn | 1.0000 | 2 | |
| 42 | [anonymized] | 2019-05-09 10:00 | 1.0.0 | my solution knn knn | 1.0000 | 3 | |
| 43 | [anonymized] | 2019-04-30 11:35 | 1.0.0 | knn knn | 1.0000 | 5 | |
| 44 | [anonymized] | 2019-05-17 10:51 | 1.0.0 | knnka knn umz-2019-challenge | 1.0000 | 3 | |
| 45 | [anonymized] | 2019-05-22 06:58 | 1.0.0 | grzybkiknn knn | 1.0000 | 5 | |
| 46 | [anonymized] | 2019-04-30 14:07 | 1.0.0 | Najnowsza wersja grzybów logistic-regression | 1.0000 | 4 | |
| 47 | [anonymized] | 2019-05-28 14:02 | 1.0.0 | Grzyb logistic-regression | 1.0000 | 5 | |
| 48 | [anonymized] | 2019-04-30 12:23 | 1.0.0 | grzyby logistic-regression | 1.0000 | 3 | |
| 49 | [anonymized] | 2019-05-07 19:38 | 1.0.0 | knn dla 3 knn umz-2019-challenge | 1.0000 | 9 | |
| 50 | [anonymized] | 2019-04-16 11:53 | 1.0.0 | knn commit uno knn umz-2019-challenge | 1.0000 | 3 | |
| 51 | [anonymized] | 2019-05-07 13:24 | 1.0.0 | grzybkiKNN knn | 1.0000 | 3 | |
| 52 | [anonymized] | 2019-05-14 12:01 | 1.0.0 | kryminalni knn | 1.0000 | 3 | |
| 53 | [anonymized] | 2019-05-07 12:32 | 1.0.0 | grzybyKNN knn | 1.0000 | 4 | |
| 54 | [anonymized] | 2019-05-26 11:50 | 1.0.0 | add load data | 1.0000 | 4 | |
| 55 | [anonymized] | 2019-05-03 15:19 | 1.0.0 | KNN oh that is good knn | 1.0000 | 3 | |
| 56 | [anonymized] | 2019-05-03 18:26 | 1.0.0 | m u s h r o o m s knn | 1.0000 | 3 | |
| 57 | [anonymized] | 2019-06-01 23:00 | 1.0.0 | mushrooms1 ready-made logistic-regression | 1.0000 | 1 | |
| 58 | [anonymized] | 2019-06-16 08:33 | 1.0.0 | mushrooms ready-made ready-made logistic-regression | 1.0000 | 1 | |
| 59 | [anonymized] | 2019-05-22 21:02 | 1.0.0 | Mushrooms logistic regression ready-made logistic-regression | 1.0000 | 1 | |
| 60 | [anonymized] | 2019-05-19 13:25 | 1.0.0 | LogicalRegression 1.3 ready-made logistic-regression | 1.0000 | 3 | |
| 61 | [anonymized] | 2019-06-12 19:30 | 1.0.0 | mushroom ready made ready-made logistic-regression | 1.0000 | 1 | |
| 62 | [anonymized] | 2019-06-03 14:46 | 1.0.0 | Logistic regression ready-made logistic-regression | 1.0000 | 1 | |
| 63 | [anonymized] | 2019-05-31 15:57 | 1.0.0 | grzybki ready-made logistic-regression | 1.0000 | 1 | |
| 64 | [anonymized] | 2019-06-02 16:03 | 1.0.0 | ready-made-mushrooms ready-made logistic-regression | 1.0000 | 1 | |
| 65 | [anonymized] | 2019-06-16 08:47 | 1.0.0 | grzyby ready ready-made logistic-regression | 1.0000 | 3 | |
| 66 | [anonymized] | 2019-06-18 12:29 | 1.0.0 | grzyby logistyczne ready-made logistic-regression | 1.0000 | 3 | |
| 67 | [anonymized] | 2019-05-19 13:02 | 1.0.0 | kraina-grzbow ready-made logistic-regression | 1.0000 | 1 | |
| 68 | [anonymized] | 2019-05-22 17:15 | 1.0.0 | regresja log na grzybach ready-made logistic-regression | 1.0000 | 1 | |
| 69 | [anonymized] | 2019-05-19 16:27 | 1.0.0 | mushrooms 3 commit ready-made logistic-regression | 1.0000 | 2 | |
| 70 | [anonymized] | 2019-06-16 08:16 | 1.0.0 | grzyby ready-made logistic-regression | 1.0000 | 3 | |
| 71 | [anonymized] | 2019-05-06 22:31 | 1.0.0 | neighbourhood knn | 1.0000 | 4 | |
| 72 | [anonymized] | 2019-06-01 17:47 | 1.0.0 | knn knn | 1.0000 | 6 | |
| 73 | [anonymized] | 2019-04-29 12:20 | 1.0.0 | 3nn, 5columns python scikit-learn knn umz-2019-challenge | 1.0000 | 6 | |
| 74 | [anonymized] | 2019-05-07 15:07 | 1.0.0 | rozwiazanie 07052019 1706 knn | 1.0000 | 3 | |
| 75 | [anonymized] | 2019-05-19 20:42 | 1.0.0 | many features knn | 1.0000 | 4 | |
| 76 | [anonymized] | 2019-04-15 21:35 | 1.0.0 | Solution mushrooms KNN knn | 1.0000 | 4 | |
| 77 | [anonymized] | 2019-04-24 10:45 | 1.0.0 | finished knn knn | 1.0000 | 4 | |
| 78 | [anonymized] | 2019-05-15 07:21 | 1.0.0 | KNN knn | 1.0000 | 3 | |
| 79 | [anonymized] | 2019-05-06 12:58 | 1.0.0 | Mushroom KNN knn umz-2019-challenge | 1.0000 | 4 | |
| 80 | [anonymized] | 2019-05-17 10:18 | 1.0.0 | knn knn | 1.0000 | 3 | |
| 81 | [anonymized] | 2019-05-19 19:52 | 1.0.0 | KNN knn | 1.0000 | 4 | |
| 82 | [anonymized] | 2019-05-22 09:11 | 1.0.0 | logistic-regression-readymade ready-made logistic-regression | 1.0000 | 2 | |
| 83 | [anonymized] | 2018-01-23 23:35 | 1.0.0 | siec neuronowa neural-network | 0.9988 | 5 | |
| 84 | [anonymized] | 2019-05-07 23:03 | 1.0.0 | Grzyby KNN 1 knn | 0.9988 | 3 | |
| 85 | Artur Nowakowski | 2019-04-30 09:17 | 1.0.0 | KNN knn | 0.9988 | 8 | |
| 86 | [anonymized] | 2019-04-30 13:08 | 1.0.0 | afcnr1 logistic-regression | 0.9988 | 3 | |
| 87 | [anonymized] | 2019-05-14 12:07 | 1.0.0 | knn knn | 0.9988 | 7 | |
| 88 | [anonymized] | 2019-05-13 11:52 | 1.0.0 | knn solution for k=3 knn | 0.9988 | 4 | |
| 89 | [anonymized] | 2019-05-14 12:16 | 1.0.0 | knn knn | 0.9977 | 3 | |
| 90 | [anonymized] | 2019-05-14 12:28 | 1.0.0 | knn knn | 0.9954 | 3 | |
| 91 | [anonymized] | 2019-04-30 12:41 | 1.0.0 | taktak logistic-regression | 0.9919 | 3 | |
| 92 | [anonymized] | 2019-05-14 13:54 | 1.0.0 | mushroomsLog logistic-regression | 0.9919 | 4 | |
| 93 | [anonymized] | 2019-04-30 12:38 | 1.0.0 | grzyb 3 knn | 0.9815 | 3 | |
| 94 | [anonymized] | 2019-06-01 14:37 | 1.0.0 | grzyby10 ready-made logistic-regression | 0.9654 | 1 | |
| 95 | [anonymized] | 2018-01-13 20:58 | 1.0.0 | Neural Network Classification neural-network | 0.9539 | 9 | |
| 96 | [anonymized] | 2017-12-11 17:18 | 1.0.0 | Logstic regression logistic-regression | 0.9481 | 2 | |
| 97 | [anonymized] | 2017-12-20 16:26 | 1.0.0 | Edible shrooms logistic regression logistic-regression | 0.9481 | 1 | |
| 98 | [anonymized] | 2019-04-16 14:12 | 1.0.0 | mushroom logistic-regression | 0.9481 | 2 | |
| 99 | [anonymized] | 2019-04-16 14:05 | 1.0.0 | my mushrooms solution logistic-regression | 0.9481 | 2 | |
| 100 | [anonymized] | 2019-04-16 14:03 | 1.0.0 | my solution logistic-regression umz-2019-challenge | 0.9481 | 2 | |
| 101 | [anonymized] | 2019-06-02 08:14 | 1.0.0 | Mushrooms - rozwiązanie ready-made ready-made logistic-regression | 0.9469 | 1 | |
| 102 | [anonymized] | 2018-01-19 21:10 | 1.0.0 | Zadanie 009 z kodem programu v1.0 ready-made logistic-regression 2-dimensional | 0.9423 | 1 | |
| 103 | [anonymized] | 2019-04-30 12:34 | 1.0.0 | pieczarki vol. 3 knn | 0.9158 | 3 | |
| 104 | [anonymized] | 2019-05-06 12:32 | 1.0.0 | NB naive-bayes | 0.8189 | 2 | |
| 105 | p/tlen | 2017-12-11 08:24 | 1.0.0 | all edible stupid | 0.5098 | 2 | |
| 106 | [anonymized] | 2019-06-01 08:22 | 1.0.0 | logistic regression ready made ready-made logistic-regression | 0.4464 | 1 |