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Data Mining Hackathon on (20 mb) Best Buy mobile web site - ACM SF Bay Area Chapter

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Late sub leaderboard

Showing 28 individual users with their best private score within late subs.
Team name Public Private Public score Private score Submitter Private(Late) Private score(Late) Total subs
PepsiCo PepsiCo 1 0.7892088890075684 72
Green Avenger 1 1 0.7880004721435321 0.7892088821742697 Green Avenger 2 0.7892088890075684 24
Jughead & imbigdata ○○ 13 14 0.7578564683663838 0.7568276600097485 jughead 3 0.7892088890075684 6
vdaniloff 2 2 0.7806421152030223 0.7818367090001963 vdaniloff 5 0.7820208072662354 11
Lei CHEN 39 39 0.7432105760151089 0.7433509591929794 Lei CHEN 6 0.7818366885185242 1
DanceStar ○○○ 6 6 0.7694546742209639 0.7680964071573506 Kingsfield 7 0.7619147896766663 13
ferrix ferrix 8 0.7547597885131836 7
learninglearner learninglearner 9 0.7529224157333374 27
FindBoat FindBoat 10 0.743019700050354 2
V94 16 17 0.7545963172804538 0.7537525769950968 V94 11 0.7414506673812866 1
Navin K 23 24 0.7504060434372053 0.7494578474418813 Navin K 12 0.7372834086418152 1
ThePawn 45 51 0.7366973559962232 0.7325629888421942 ThePawn 13 0.7348197102546692 2
Mike Chrzanowski Mike Chrzanowski 14 0.7324937582015991 25
Foxtrot 37 37 0.7432105760151089 0.7433509591929794 Foxtrot 16 0.728333592414856 1
BigDataTeam lukasz.drynkowski 17 0.718414306640625 51
Umesh Kumar Umesh Kumar 18 0.7136710286140442 22
Jughead & imbigdata ○○ 13 14 0.7578564683663838 0.7568276600097485 imbigdata 19 0.7131596207618713 1
kangaroo kangaroo 20 0.7081212997436523 10
raytomato raytomato 21 0.6869726181030273 3
David 69 69 0.5844192634560906 0.5936452480997121 David McGarry 22 0.6708622574806213 2
Kavitha Manohar Kavitha Manohar 23 0.6493468880653381 12
Saahil Shenoy Saahil Shenoy 24 0.6473726630210876 14
agilefall agilefall 25 0.6322647929191589 5
Data_Torturers ○○○○○○ 64 64 0.6744593956562797 0.6793974159230678 Sree 26 0.4126748740673065 5
Jamison W. Jamison W. 27 0.4001227617263794 1
Amogh Vasekar Amogh Vasekar 28 0.04609791934490204 3