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 ver. description test-A Accuracy ×
1 Artur Nowakowski 2019-04-20 21:41 1.0.0 UMZ 2019 challenge basic solution umz-2019-challenge 0.866 5
2 [anonymised] 2019-04-29 12:54 1.0.0 Random tree umz-2019-challenge 0.858 11
3 Jędrzej Furmann 2019-05-26 15:12 1.0.0 solution decision-tree random-forest umz-2019-challenge 0.858 4
4 Yurkee 2019-05-26 22:12 1.0.0 try no. 3 umz-2019-challenge 0.858 7
5 [anonymised] 2018-05-26 10:44 1.0.0 my solution no1 using random forest 0.851 8
6 Wiktoria Błaszyk 2019-05-22 07:52 1.0.0 tree2 decision-tree umz-2019-challenge 0.851 2
7 Nikodem Pachala 2019-04-30 17:59 1.0.0 Experiments umz-2019-challenge 0.851 35
8 Przemysław Stawujak 2019-04-19 21:07 1.0.0 attempt umz-2019-challenge 0.843 9
9 [anonymised] 2018-05-27 21:21 1.0.0 forest2 0.836 8
10 Marcin Szczepański 2019-05-14 10:52 1.0.0 Decision tree decision-tree 0.836 4
11 Zuzanna Kowalska (416249) 2019-05-26 16:44 1.0.0 my tree decision-tree 0.836 2
12 Karolina 2019-05-11 10:11 1.0.0 titanic3 0.836 102
13 Justyna 2019-05-23 09:02 1.0.0 titanicNN neural-network 0.836 18
14 Agata 2019-05-23 10:07 1.0.0 drzewa dec decision-tree 0.836 1
15 [anonymised] 2018-03-10 23:14 1.0.0 random forest test 0.828 10
16 Klaudia Wereniewicz 2019-05-11 14:54 1.0.0 UMZ2019-08 - Neural network neural-network umz-2019-challenge 0.828 18
17 Dawid Jurkiewicz 2019-06-10 21:42 1.0.0 Xgboost decision-tree 0.828 2
18 [anonymised] 2019-04-21 21:01 1.0.0 Decision tree or random forest decision-tree 0.828 2
19 Kamil Paprota 2019-05-18 13:28 1.0.0 a oczom ich ukazał się las... krzyży decision-tree umz-2019-challenge 0.828 19
20 Bartlomiej Gadzicki 2019-05-13 08:32 1.0.0 random forest commit uno decision-tree random-forest umz-2019-challenge 0.828 3
21 Kamil Smolicz 2019-05-28 14:21 1.0.0 titanicDFF decision-tree 0.828 1
22 Kamil Krawczyk 2019-05-20 08:32 1.0.0 Random forest n=1000 decision-tree random-forest umz-2019-challenge 0.828 2
23 Stanislaw-Golebiewski 2019-06-10 10:45 1.0.0 keras nn neural-network 0.828 26
24 marcin-jedynski 2018-06-05 14:42 1.0.0 random forest 0.821 5
25 Iza 2018-05-24 15:02 1.0.0 ensemble5zkod 0.821 18
26 [anonymised] 2018-05-27 19:38 1.0.0 Random forest solution v1 0.821 10
27 mario 2018-05-20 10:21 1.0.0 a tree 0.821 5
28 [anonymised] 2018-06-19 14:52 1.0.0 my brilliant solution 0.821 3
29 Marek Wendlandt 442676 2019-05-06 16:34 1.0.0 decision tree solution decision-tree 0.821 1
30 Michał Szczepanowski 2019-05-23 20:16 1.0.0 Decision tree decision-tree 0.821 1
31 Krzysztof Moś 2019-05-07 14:32 1.0.0 wypadek decision-tree 0.821 1
32 Dawid Kubicki 2019-05-27 12:41 1.0.0 tree decision-tree umz-2019-challenge 0.821 2
33 Monika Janocha 2019-05-21 11:07 1.0.0 neural network neural-network 0.821 2
34 Karolina Surma 2019-05-14 12:51 1.0.0 forest decision-tree umz-2019-challenge 0.821 22
35 [anonymised] 2019-05-21 08:55 1.0.0 LasyDeszczowe decision-tree 0.821 2
36 Faustyna Baranowska 416214 2019-05-21 11:07 1.0.0 neuralNetwork neural-network 0.821 2
37 [anonymised] 2019-05-10 09:15 1.0.0 all that i can see is just another lemon tree decision-tree 0.821 4
38 Paulina Lester 2019-05-09 19:58 1.0.0 decision tree decision-tree 0.821 2
39 Maksym Krawczyk 2019-05-20 13:20 1.0.0 Decision tree decision-tree 0.821 2
40 Gabi 2019-04-30 11:22 1.0.0 simple nn neural-network 0.813 3
41 Adrianna Załęska 416296 2019-05-21 10:50 1.0.0 decision tree decision-tree 0.813 2
42 Adrian Witczak 2019-06-01 10:16 1.0.0 neural neural-network umz-2019-challenge 0.813 4
43 [anonymised] 2019-05-24 20:19 1.0.0 Kod 0.813 3
44 Cezary Pukownik 2019-04-26 11:17 1.0.0 tensorflow-dense-network 0.813 1
45 Wurka 2018-03-11 20:07 1.0.0 rozwiazanie 0.806 8
46 [anonymised] 2018-05-17 15:15 1.0.0 solution decision tree 0.806 8
47 SmerfPracus 2018-05-27 18:12 1.0.0 RandomForest 0.806 19
48 Kumajka 2018-05-15 21:03 1.0.0 Decision tree solution 2 0.806 30
49 Paulina 2018-05-27 19:34 1.0.0 random forest 0.806 6
50 Bogusz 2018-05-22 19:23 1.0.0 zaddom lab9 v4 0.806 8
51 [anonymised] 2018-05-20 21:33 1.0.0 'tree' 0.806 5
52 Magda 2019-05-14 14:10 1.0.0 my solution decision-tree 0.806 1
53 MarTrz 2019-05-21 12:12 1.0.0 shipship decision-tree 0.806 2
54 Izabela Ornowska 2019-05-21 11:17 1.0.0 tree decision-tree 0.806 2
55 Olga Kwaśniewska 2019-04-28 16:41 1.0.0 Decision Tree decision-tree 0.806 5
56 Magdalena Karczewicz 2019-05-23 12:28 1.0.0 drzewko decision-tree 0.806 2
57 Weronika 2018-05-27 20:01 1.0.0 Solution 6 0.799 7
58 bee713 2018-05-20 18:18 1.0.0 decision tree 0.799 7
59 kan 2019-05-14 14:13 1.0.0 my titanic solution decision-tree 0.799 1
60 Cezary Krysiak 407568 2019-05-21 11:24 1.0.0 nn neural-network 0.799 2
61 [anonymised] 2018-05-17 20:05 1.0.0 solution 0.791 6
62 PapaSmerf 2018-05-19 15:01 1.0.0 decision tree 0.791 8
63 [anonymised] 2018-05-17 14:39 1.0.0 decission_tree 0.791 5
64 Złośnik 2018-05-17 14:15 1.0.0 my brilliant solution 0.791 7
65 [anonymised] 2018-05-18 09:07 1.0.0 DrzewoDecyzyjne 0.791 12
66 Adam Kulczycki 2019-05-18 10:17 1.0.0 NN neural-network 0.791 2
67 Joanna P. (416422) 2019-05-10 12:28 1.0.0 titanic with neural networks neural-network umz-2019-challenge 0.791 2
68 Łukasz Szymula 2019-06-09 20:25 1.0.0 Neural network neural-network umz-2019-challenge 0.791 2
69 Jakub Plebaniak 452101 2019-06-03 21:00 1.0.0 Titanic Challenge. Neural Network, Keras neural-network umz-2019-challenge 0.791 3
70 Piotr Michalak 2018-05-16 20:55 1.0.0 decision trees solution 0.784 7
71 [anonymised] 2018-04-20 08:03 1.0.0 my brilliant solution 0.784 6
72 Joanna Janaszek 2019-05-14 14:12 1.0.0 my brilliant solution decision-tree 0.784 1
73 Filip Hałoń 2019-05-21 12:22 1.0.0 Titanic neural networks neural-network 0.784 2
74 AleksandraMalinowska 2019-05-28 14:13 1.0.0 titanictree decision-tree 0.784 1
75 Kornelia 2019-05-21 15:48 1.0.0 decision tree decision-tree 0.776 2
76 452107 2019-05-10 09:23 1.0.0 Titanic goes down, Neural Network goes up neural-network 0.776 3
77 Mateusz Hinc 2019-06-09 16:55 1.0.0 simple nn python neural-network umz-2019-challenge 0.769 3
78 kubakowalczyk 2019-05-21 13:00 1.0.0 finished neural neural-network 0.769 2
79 Paweł Skórzewski 2019-04-15 11:41 1.0.0 Logistic regression 2 python ready-made logistic-regression 0.716 6
80 Diana 2019-05-14 12:40 1.0.0 neural network neural-network 0.709 2
81 Julia28 2019-06-11 11:37 1.0.0 tytaniczek decision-tree 0.709 3
82 PioBec 2019-06-10 12:23 1.0.0 Drzewo Titanic decision-tree 0.701 1
83 Stefania Pikus 2019-05-27 15:24 1.0.0 decision tree decision-tree 0.701 2
84 [anonymised] 2018-03-09 12:05 1.0.0 my brilliant zaj2 0.679 4
85 Tomasz 2018-02-27 12:13 1.0.0 Add baseline stupid 0.590 1