KaggleDB Solutions Users Country Medal
About Misc

Human Protein Atlas Image Classification

Final LB Best sub LB Late sub LB Top 1000 subs Kaggle competition page

Best sub leaderboard

What if every single team had chosen their best sub for final scoring?
This LB is based on that scenario.
Team name Public(final) Private(final) Private(best) Public score Private score Date
bestfitting 1 1 1 0.6560243561249254 0.5936912448929244 2019-01-10
pudae 16 3 2 0.6127371175322315 0.5751391488580487 2019-01-05
yelan 6 2 3 0.631473513334021 0.5748816271957488 2019-01-09
YaG320 12 6 4 0.6300597633400259 0.5711680606176153 2019-01-10
Wienerschnitzelgemeinschaft ○○○○○○ 3 4 5 0.6502924402434097 0.5704956149660995 2019-01-10
vpp ○○ 5 5 6 0.6443882779175042 0.5687042697366421 2019-01-07
Guanshuo Xu 9 7 7 0.6208989961658719 0.5668960975407608 2019-01-09
TEAM ○○○○○○○○ 18 9 8 0.6251189878529837 0.5647255656867638 2018-12-29
One More Layer (Of Stacking) ○○○○ 4 8 9 0.6361295986263279 0.5645803778240442 2018-12-31
Ten Epochs ○○○○○○○ 10 11 10 0.6067086401232806 0.5625145888090263 2019-01-04
Maksim Rodin 23 18 11 0.618042560257029 0.5595653103477084 2019-01-08
Gold is overrated ○○○ 8 20 12 0.6122047188557026 0.5595353809700786 2019-01-04
RK 21 19 13 0.6135645179393492 0.5580314532807992 2018-12-28
conv is all u need ○○○○ 14 10 14 0.6346022232452819 0.5576194659382857 2019-01-10
NTU_MiRA 11 16 15 0.6251395337130523 0.5575212249882274 2019-01-07
Maciej Sypetkowski 41 25 16 0.6063309329760715 0.5569223094144765 2019-01-10
#finoallafine ○○○ 7 14 17 0.6336995743896571 0.5567309985838695 2019-01-08
Arm 2 12 18 0.6520021171065642 0.5555573069802788 2019-01-09
MJP solution ○○○ 38 137 19 0.6121677984469833 0.5552951185870519 2019-01-06
A team ○○○○○○ 32 15 20 0.6125724630038126 0.5551326208043791 2019-01-03
zhangboshen ○○○○○○ 15 28 21 0.6087750396488513 0.5546997219993062 2019-01-01
zjuyang 63 13 22 0.5973209463301578 0.5545186551152012 2019-01-03
[ods.ai] Jeremy's Witnesses ○○ 39 54 23 0.6076833244614148 0.5541355116056544 2019-01-09
sheep 29 17 24 0.6176967120604271 0.5526098542837856 2019-01-10
Soonhwan Kwon 34 24 25 0.5825406183492979 0.5502873768355798 2018-12-29
AgroDesign ○○○○○ 57 21 26 0.6027640223019449 0.5489169216707792 2019-01-10
pete 46 22 27 0.6068716348568748 0.5487751314049899 2019-01-10
[ods.ai] n01z3 20 23 28 0.6236677536137213 0.5486493387285627 2019-01-10
eating-bragging-sunning ○○○○ 43 26 29 0.6062514046526752 0.5480164387026764 2018-12-30
Random Walk ○○○○ 40 38 30 0.6019066967877207 0.5477884709773299 2018-12-29
🇻🇳 Draw me a star ○○○○ 24 29 31 0.6161492906200359 0.54774734683135 2019-01-10
Six Replacements ○○○○○ 19 30 32 0.6108346456643554 0.54631706521234 2019-01-07
KMen 45 27 33 0.6027838650634257 0.5457688119550775 2019-01-08
Appian 25 39 34 0.6141018908267359 0.5454303660616582 2019-01-10
kiwi ○○○○○ 56 31 35 0.5958093676288966 0.5450748708535277 2019-01-09
[kaggler-ja] tetramer ○○○○ 17 35 36 0.6164006225970314 0.5449651199831153 2019-01-03
[ods.ai] Roman Vlasov 64 34 37 0.5949755438418022 0.5443128312317258 2019-01-10
emorsstuu 36 51 38 0.5819339308196468 0.5438644209910494 2019-01-10
Curtis Kim 60 32 39 0.6019787114432881 0.5437920740914407 2019-01-03
Cory 181 36 40 0.5445448993040111 0.5436009024588065 2019-01-02
[ods.ai, mipt-oulu] notvgg16 ○○ 26 44 41 0.6170910236908004 0.5434049537761787 2019-01-10
loved.va 13 33 42 0.6338010202869866 0.5431186909922803 2018-12-31
roush 42 58 43 0.6023038652647327 0.5427267940228925 2019-01-08
Heng|Tom|Zhijian|A.L.[KentAI] ○○○○ 30 37 44 0.6115740191075931 0.5423344501157934 2019-01-10
Jun Liu@makethingswork ○○○ 76 41 45 0.5904161641131677 0.542081265356205 2018-12-29