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Two Sigma Financial Modeling Challenge

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Showing 113 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
BenCopeland 31 397 0.017841394238465345 0.01813300802936221 BenCopeland 1 0.04816209152340889 2
John Ma 19 8 0.01890278184574513 0.02895865704740031 John Ma 2 0.04442603886127472 40
The Wolf of Wall Street ○○ Lucien de Rubempre 3 0.036841023713350296 73
NimaShahbazi & mchahhou ○○ 13 2 0.02012137592943531 0.03693867667785583 Nima Shahbazi 4 0.035320915281772614 1
best fitting ○○○ 5 5 0.022578897734450782 0.0320762711425154 circlecircle 5 0.03420883044600487 2
alijs 40 276 0.017399602322263636 0.018546352683943414 alijs 6 0.033315420150756836 1
Humberto & Scirpus & Ever.. ○○○ 37 48 0.01763588517142174 0.021397016206648755 Scirpus 7 0.03290634602308273 5
Baptiste Pigaux Baptiste Pigaux 8 0.032771628350019455 4
Willie Liao 16 18 0.01897464463225331 0.02548375372302453 Willie Liao 9 0.0312759093940258 13
Leonardo Bonato ○○ 1022 533 0.010111875556253673 0.015565371617161981 Fernando Canteruccio 10 0.0312759093940258 5
Y.L. Zhao Y.L. Zhao 11 0.0312759093940258 4
best fitting ○○○ 5 5 0.022578897734450782 0.0320762711425154 bestfitting 12 0.030611732974648476 1
NimaShahbazi & mchahhou ○○ 13 2 0.02012137592943531 0.03693867667785583 Chahhou Mohamed 13 0.0294440146535635 1
E2 ○○ 15 7 0.019119375087152352 0.02915394703051212 Erk Subasi 14 0.028395023196935654 1
dactam 467 104 0.0139441075552805 0.019938825288591408 DaTa Luu 15 0.02820541150867939 1
Janos 119 538 0.015342980894726696 0.015448895059478888 Janos 16 0.02813202515244484 2
MT 515 550 0.013643804360311332 0.015171671030246185 MT 17 0.026406001299619675 3
clustifier 219 367 0.014966842344805588 0.0181373955554324 clustifier 18 0.026372602209448814 1
GKkMLk 389 295 0.014757035218939769 0.01830216434106434 Girma Kejela 19 0.026372602209448814 1
naruto ○○ 126 173 0.015304758348293347 0.018822935260761123 Danlu Wang 20 0.026372602209448814 1
OneManArmy 173 171 0.01509471581132704 0.01882530820662754 Binil 21 0.025827983394265175 2
zhidacaishu ○○ 55 148 0.016424215687225262 0.01920233845570667 dsamuel 22 0.025612248107790947 1
NOCLUE____ 171 187 0.01509966693510836 0.018817984522338863 PaulTodo 23 0.02556859329342842 2
Vinod Waykole 285 324 0.014961826397083213 0.0181373955554324 Vinod Waykole 24 0.02556859329342842 1
Hugh Karimi 380 394 0.014961826397083213 0.0181373955554324 Hussain Karimi 25 0.025568591430783272 1
Oussama & Kenley & Ayoub ○○○ 7 51 0.022008122533861117 0.02116983345897373 Kenley Tan 26 0.025524938479065895 4
Demonetisation 390 422 0.014756606978992559 0.018025932900882804 Siddharth 27 0.02548375353217125 1
Wenlong Shen 131 457 0.015266390431042191 0.017095969975405842 Wenlong Shen 28 0.02548375353217125 1
RM&RS ○○ 82 309 0.015800422672278002 0.018156639952976485 Rodrigo Malacarne 29 0.02548375353217125 1
Daniel Marcous 232 158 0.014966842344805588 0.01902323825135201 Daniel Marcous 30 0.02548375353217125 1
Mucha ○○○○○○ 118 464 0.015348535902156372 0.016987286028449525 sfx7rail 32 0.02548375353217125 1
Oussama & Kenley & Ayoub ○○○ 7 51 0.022008122533861117 0.02116983345897373 Oussama Errabia 33 0.025381289422512054 1
Mario Filho | Stanislav S.. ○○ 8 25 0.02172758295388964 0.02324314261679917 Mario Filho 34 0.023243142291903496 5
AMilkov 182 235 0.015013207955945481 0.01856412036564504 AMilkov 35 0.0230542179197073 1
insist 108 71 0.015502856555298962 0.0206912439478312 insist 36 0.021035613492131233 1
kos_ 50 49 0.01660484231529575 0.021286032110965383 kos_ 37 0.0208571869879961 1
IngaKuznetsova 392 155 0.014742187687466704 0.01907877482124376 Inga Kuznetsova 38 0.020488187670707703 9
happycube 12 50 0.02031718212429704 0.021272480805392704 happycube 39 0.02038666047155857 8
Focsic 47 425 0.016823486047300322 0.017977537862686375 TeraFlops 40 0.02038666047155857 3
trade_shift 306 340 0.014961826397083213 0.0181373955554324 udit 41 0.02038666047155857 1
sergeevii123 256 270 0.014966537342109669 0.01856357158605904 Ilya 42 0.02038666047155857 1
Ouranos 397 26 0.014554131637633909 0.02292013024207571 Ouranos 45 0.020133918151259422 3
TheDude 393 311 0.014689326772735312 0.018142572976246833 TheDude 46 0.020099302753806114 1
WallStreetWolves ○○○○ 79 456 0.015857365900395156 0.017143200113931154 Mohammad Shadab Alam 47 0.019756490364670753 1
A_Elsheikh 20 162 0.01881267601392232 0.01895247307409521 A_Elsheikh 49 0.018952473998069763 1
beletecheneke 450 67 0.01396755184254338 0.020782411361959324 beletecheneke 50 0.018931124359369278 6
Trent 104 220 0.015587858890725382 0.018586380265928747 Trent 53 0.018586380407214165 1
Pavel Ostyakov 46 73 0.01685010930896866 0.02055835120239092 Pavel Ostyakov 54 0.01828595995903015 4
Wei Wu 317 346 0.014961826397083213 0.0181373955554324 Wei Wu 55 0.018143685534596443 1
NW413-CTP ○○○ 323 352 0.014961826397083213 0.0181373955554324 Tyler Hawkes 58 0.015519089065492153 5
deathnote Li Wang 59 0.01547206100076437 14
RHINODAVEB 519 302 0.013605415865687007 0.018258515329699344 David Bobillot 60 0.015444309450685978 1
XuejiaoWang XuejiaoWang 61 0.015060007572174072 6
evildead 数据怪胎 63 0.01482628844678402 16
AML ○○○○○ 311 343 0.014961826397083213 0.0181373955554324 Antoine Didishiem 64 0.014691428281366825 1
Alex & Dani ○○ 9 455 0.021161935109551704 0.01715187193953178 Daniel Sánchez Santolaya 65 0.014561237767338753 1
QiZheng QiZheng 66 0.014514095149934292 19
JasonZukewich 417 546 0.014184918503583409 0.01521118321224786 JasonZukewich 68 0.01407374907284975 3
The Wolf of Wall Street ○○ Bill 69 0.012171891517937183 38
John Love 934 47 0.011640945913715952 0.02148283084015249 Dragos C. 71 0.0113717932254076 1
Gamma Travel ○○ 993 1034 0.010619764964991278 0.008807419504462375 Azural TONG 72 0.011109800077974796 2
Potentia Computing 288 916 0.014961826397083213 0.012265097412751455 lymanblue 73 0.010969970375299454 1
TimothyLiu TimothyLiu 74 0.00965149700641632 2
LearnFromData 1876 1619 -0.006721620773287721 -0.0008950623067087691 LearnFromData 75 0.009544841945171356 3
Akila Wajirasena 43 876 0.01717026034870392 0.013648162400384429 Akila Wajirasena 76 0.00948465708643198 1
peymansheikholharam 143 298 0.015148372639025425 0.018273758697720213 Peyman Mashhadi 77 0.009130725637078285 1
yoav_talmi 57 1627 0.016277327395276094 -0.001598593350260491 yoav_talmi 79 0.0066812471486628056 2
tradingwithmatlab 1015 1188 0.010138368323859991 0.005063770234596178 tradingwithmatlab 80 0.00518827186897397 1
skybirdhe 1769 1499 -0.006721620773287721 -0.0008950623067087691 skybirdhe 85 -0.0008950622868724167 1
BLUF: Bottom Line Up Fron.. ○○○ 324 461 0.014961826397083213 0.017024631359279986 KrishnaprabhaChari 86 -0.0008950622868724167 1
Jatin Jansari 378 393 0.014961826397083213 0.0181373955554324 JJ 87 -0.0008950622868724167 1
Sean Bergam 1774 1504 -0.006721620773287721 -0.0008950623067087691 Sean Bergam 89 -0.0008950622868724167 1
XwOoOo 25 23 0.018386601006835687 0.02361052371351605 Xiaofei Wen 90 -0.0008950622868724167 1
NU CCC ○○○ 301 336 0.014961826397083213 0.0181373955554324 LeslieThomas 92 -0.0043364460580050945 2
Kishore M Kishore M 93 -0.004447812680155039 1
Danijel Kivaranovic 408 563 0.0143541632581136 0.015013656519034153 Danijel Kivaranovic 94 -0.0060428958386182785 1
sangar 351 373 0.014961826397083213 0.0181373955554324 sangar 97 -0.010582157410681248 2
Maxim Alekseykin 1003 1091 0.010420762788173098 0.007271899185325195 Maxim Alekseykin 98 -0.010909372940659523 2
otimur 1069 1027 0.009546329995642172 0.00904664096482163 otimur 99 -0.011955415830016136 2
jwong 175 527 0.015076507672200675 0.015991433182347747 jwong 100 -0.01336884405463934 2
Mehdi Tantaoui deltascience 101 -0.014730127528309822 3
WallStreetWolves ○○○○ 79 456 0.015857365900395156 0.017143200113931154 Abhilash Awasthi 102 -0.01502299215644598 1
Emperors of ML ○○ 964 994 0.01118377573642898 0.00949616837092456 BlackSwan 103 -0.017891285941004753 3
best fitting ○○○ 5 5 0.022578897734450782 0.0320762711425154 zero 104 -0.022124512121081352 1
CharlesP 1196 1081 0.009088567923210463 0.007800922143446355 CharlesP 105 -0.02286192774772644 1
DerekLi 991 1057 0.010675374942435712 0.008381882003677978 DerekLi 106 -0.025698311626911163 1
Learner 177 138 0.015052110606418406 0.01953083368790348 Learner 107 -0.036033209413290024 1
Brothers 1445 1899 -0.0028068256812918443 -0.014566029270015029 Brothers 108 -0.03611801192164421 1
L to the U to the L 2 945 0.02549880306080602 0.011727272577384722 utility 109 -0.046978697180747986 1
Shilin Zhu 734 1201 0.013341328038146506 0.003879532090875044 Shilin Zhu 110 -0.0554799921810627 1
Oleg Panichev 227 154 0.014966842344805588 0.01912587836817789 Oleg Panichev 111 -0.13474053144454956 1
Shomen Banerjee 1495 1858 -0.006175735768828612 -0.010570187341227702 SAB 112 -0.26056838035583496 1
Sean Johns 355 375 0.014961826397083213 0.0181373955554324 Sean Johns 113 -1.0 2