Titanic challenge

Guess who survived from the disaster.

Git repo URL: git://gonito.net/titanic / Branch: master

(Browse at https://gonito.net/gitlist/titanic.git/master)

Leaderboard

# submitter when description test-A Accuracy ×
1 Artur Nowakowski 2019-04-20 21:41 UMZ 2019 challenge basic solution umz-2019-challenge 0.866 5
2 [anonymised] 2019-04-29 12:54 Random tree umz-2019-challenge 0.858 11
3 [anonymised] 2018-05-26 10:44 my solution no1 using random forest 0.851 8
4 Wiktoria Błaszyk 2019-05-22 07:52 tree2 decision-tree 0.851 2
5 Nikodem Pachala 2019-04-30 17:59 Experiments umz-2019-challenge 0.851 35
6 Przemek 2019-04-19 21:07 attempt umz-2019-challenge 0.843 9
7 [anonymised] 2018-05-27 21:21 forest2 0.836 8
8 Marcin Szczepański 2019-05-14 10:52 Decision tree decision-tree umz-2019-challenge 0.836 4
9 Karolina 2019-05-11 10:11 titanic3 0.836 93
10 [anonymised] 2019-05-23 09:02 titanicNN 0.836 18
11 Agata 2019-05-23 10:07 drzewa dec decision-tree 0.836 1
12 [anonymised] 2018-03-10 23:14 random forest test 0.828 10
13 Klaudia 2019-05-11 14:54 UMZ2019-08 - Neural network neural-network umz-2019-challenge 0.828 18
14 [anonymised] 2019-04-21 21:01 Decision tree or random forest decision-tree 0.828 2
15 Kamil Paprota 2019-05-18 13:28 a oczom ich ukazał się las... krzyży decision-tree umz-2019-challenge 0.828 19
16 [anonymised] 2019-05-13 08:32 random forest commit uno decision-tree random-forest umz-2019-challenge 0.828 3
17 Kamil Krawczyk 2019-05-20 08:32 Random forest n=1000 decision-tree random-forest 0.828 1
18 marcin-jedynski 2018-06-05 14:42 random forest 0.821 5
19 Iza 2018-05-24 15:02 ensemble5zkod 0.821 18
20 [anonymised] 2018-05-27 19:38 Random forest solution v1 0.821 10
21 mario 2018-05-20 10:21 a tree 0.821 5
22 [anonymised] 2018-06-19 14:52 my brilliant solution 0.821 3
23 Maras 2019-05-06 16:34 decision tree solution decision-tree 0.821 1
24 Michał S 2019-05-23 20:16 Decision tree decision-tree 0.821 1
25 Krzysztof Moś 2019-05-07 14:32 wypadek decision-tree 0.821 1
26 Monika 2019-05-21 11:07 neural network neural-network 0.821 2
27 [anonymised] 2019-05-14 12:51 forest decision-tree umz-2019-challenge 0.821 21
28 [anonymised] 2019-05-21 08:55 LasyDeszczowe decision-tree 0.821 2
29 Baranowska 2019-05-21 11:07 neuralNetwork neural-network 0.821 2
30 [anonymised] 2019-05-10 09:15 all that i can see is just another lemon tree decision-tree 0.821 4
31 [anonymised] 2019-05-09 19:58 decision tree decision-tree 0.821 2
32 Maksym Krawczyk 2019-05-20 13:20 Decision tree decision-tree 0.821 1
33 Gabi 2019-04-30 11:22 simple nn neural-network 0.813 3
34 Adrianna Załęska 2019-05-21 10:50 decision tree decision-tree 0.813 1
35 Cezary Pukownik 2019-04-26 11:17 tensorflow-dense-network 0.813 1
36 Wurka 2018-03-11 20:07 rozwiazanie 0.806 8
37 [anonymised] 2018-05-17 15:15 solution decision tree 0.806 8
38 SmerfPracus 2018-05-27 18:12 RandomForest 0.806 19
39 Kumajka 2018-05-15 21:03 Decision tree solution 2 0.806 30
40 Paulina 2018-05-27 19:34 random forest 0.806 6
41 Bogusz 2018-05-22 19:23 zaddom lab9 v4 0.806 8
42 [anonymised] 2018-05-20 21:33 'tree' 0.806 5
43 Magda 2019-05-14 14:10 my solution decision-tree 0.806 1
44 [anonymised] 2019-05-21 12:12 shipship decision-tree 0.806 2
45 [anonymised] 2019-05-21 11:17 tree decision-tree 0.806 2
46 Olga Kwaśniewska 2019-04-28 16:41 Decision Tree decision-tree 0.806 3
47 [anonymised] 2019-05-23 12:28 drzewko decision-tree 0.806 2
48 Weronika 2018-05-27 20:01 Solution 6 0.799 7
49 bee713 2018-05-20 18:18 decision tree 0.799 7
50 kan 2019-05-14 14:13 my titanic solution decision-tree 0.799 1
51 Cezary 2019-05-21 11:24 nn neural-network 0.799 2
52 [anonymised] 2018-05-17 20:05 solution 0.791 6
53 PapaSmerf 2018-05-19 15:01 decision tree 0.791 8
54 [anonymised] 2018-05-17 14:39 decission_tree 0.791 5
55 Złośnik 2018-05-17 14:15 my brilliant solution 0.791 7
56 [anonymised] 2018-05-18 09:07 DrzewoDecyzyjne 0.791 12
57 Adam 2019-05-18 10:17 NN neural-network 0.791 2
58 Joanna 2019-05-10 12:28 titanic with neural networks neural-network umz-2019-challenge 0.791 2
59 [anonymised] 2018-05-16 20:55 decision trees solution 0.784 7
60 [anonymised] 2018-04-20 08:03 my brilliant solution 0.784 6
61 [anonymised] 2019-05-14 14:12 my brilliant solution decision-tree 0.784 1
62 Filip Hałoń 2019-05-21 12:22 Titanic neural networks neural-network 0.784 2
63 Kornelia 2019-05-21 15:48 decision tree 0.776 2
64 [anonymised] 2019-05-10 09:23 Titanic goes down, Neural Network goes up neural-network 0.776 3
65 [anonymised] 2019-05-21 13:00 finished neural neural-network 0.769 2
66 Paweł Skórzewski 2019-04-15 11:41 Logistic regression 2 python ready-made logistic-regression 0.716 6
67 Diana 2019-05-14 12:40 neural network neural-network 0.709 2
68 [anonymised] 2019-05-14 12:03 titanic 1 neural-network 0.701 1
69 [anonymised] 2018-03-09 12:05 my brilliant zaj2 0.679 4
70 Tomasz 2018-02-27 12:13 Add baseline stupid 0.590 1