Darkness 2010-04-28 12:00:00 UTC
Twilight 2010-04-29 12:00:00 UTC
Daylight 2010-04-30 12:00:00 UTC
Finish 2010-05-05 12:00:00 UTC

Sensor - Statistics

This page was generated on 06-May-2010 at 11:10 AM ET.

1000 Node Challenge

These are the best entries submitted before 6PM ET on Monday that are less than 1000 nodes in length.

 scoreresulttimedatelengthtitle, author
#1 29323.30 14609600 92.41 Mon 21:49 998Node tweak, Alan Chalker
#2 29327.40 14613951 91.96 Mon 21:58 998ahhhh, srach
#3 29329.40 14610278 92.86 Mon 21:56 998Node tweak, Alan Chalker
#4 29329.70 14614108 92.15 Mon 21:46 998cXc getting technical, the cyclist
#5 29330.60 14617501 91.54 Mon 21:57 996hurts!, srach
#6 29330.70 14614108 92.25 Mon 21:56 994A, Mike Russell
#7 29332.40 14616633 91.92 Mon 21:41 998cXc3, the cyclist
#8 29334.20 14613886 92.63 Mon 21:41 998cXc2, the cyclist
#9 29335.10 14614112 92.67 Mon 21:57 998uhhhh, srach
#10 29335.20 14613951 92.72 Mon 21:39 998shorty cyclist weird 1 254, the cyclist
#11 29335.60 14613886 92.77 Mon 21:57 998the score, srach
#12 29338.00 14614112 92.94 Mon 21:50 998Node tweak, Alan Chalker
#13 29338.40 14614112 92.98 Mon 21:50 998300 --> 999, the cyclist
#14 29339.50 14614112 93.08 Mon 21:33 998cXc, the cyclist
#15 29340.20 14616633 92.68 Mon 21:59 998uh3, the cyclist
#16 29342.80 14617501 92.76 Mon 21:49 996Why transpose twice, cyclist?, the cyclist
#17 29343.50 14616633 92.98 Mon 21:57 998..., srach
#18 29348.40 14617501 93.27 Mon 20:56 998shorter X, srach
#19 29358.80 14614108 94.69 Mon 21:57 998uhhh, srach
#20 29360.20 14630050 92.01 Mon 21:48 998Node tweak, Alan Chalker
#21 29362.90 14622832 93.61 Mon 21:51 998cXc4, the cyclist
#22 29370.70 14630258 92.98 Mon 21:09 998shorter XI, srach
#23 29370.80 14627321 93.51 Mon 21:32 998shorty cyclist XI, the cyclist
#24 29377.50 14632120 93.26 Mon 21:52 998cXc5, the cyclist
#25 29384.70 14644734 91.51 Mon 21:18 998A, Mike Russell

Saturday Leap

This listing shows how much each entry that took the lead on Saturday improved on the previous top score.

changetimetitle, author
123.900000:41filter adjusting 03, Alex P.
71.300009:33Pori clones 1, Abhisek Ukil
35.200014:40Longer is Better but also boring, Mike Russell
29.400014:04VerticalCat2, Sergey Y.
19.400011:18PORI BEST 12, Abhisek Ukil
17.700013:10PORI BEST 30.1.12, Abhisek Ukil
15.900010:36PORI BEST 9, Abhisek Ukil
14.500014:53Restore Clarity to Images using Signal Processing, Mike Russell
12.600010:36PORI BEST 8, Abhisek Ukil
12.600015:46less nodes V, srach
11.400004:41Tall Glass of Water, David Jones
10.200000:55filter adjusting 07, Alex P.
9.500015:40less nodes? IV, srach
9.000018:57More organization in the code would be nice, Mike Russell
8.000018:54Optimizer 5.2, Amitabh Verma
7.600001:13less filter, Alex P.
7.400023:03mytweek8, Gwendolyn Fish
6.400011:46splitt03, Alex P.
6.100015:46less nodes VI, srach
5.700019:42Which one v1.2, Amitabh Verma
5.400013:18PORI BEST, srach
5.200003:22Optima, David Jones
4.900001:56Uncomplex 3.0, Amitabh Verma
4.200002:06Uncomplex 4.0, Amitabh Verma
4.000009:41(e>=20 & e<=25)| (e>33 & e<37) | (e>=100, Abhisek Ukil
4.000019:38Which one v1.1, Amitabh Verma
3.800019:56Gotta install a stereo, Amitabh Verma
3.200013:30PORI BEST, Abhisek Ukil
2.900014:09VertivalCat4, Sergey Y.
2.300014:16VerticalCat6, Sergey Y.
1.800000:15edge=data; jjii, Alex P.
1.800001:33fct tst done, Alex P.
1.800001:38Uncomplex 2.0, Amitabh Verma
1.400005:47Triplets, David Jones
1.300001:24filter adjusting 14, Alex P.
1.300009:20mixture once more, sn0202
1.000018:52Optimizer 5.0, Amitabh Verma
0.900013:48Pori New 1, Abhisek Ukil
0.900016:20moving out VII, srach
0.800005:21Trio, David Jones
0.600014:20Lawn Care, Mike Russell
0.600023:13bed is calling, Gwendolyn Fish
0.400003:13Optima 2.1, David Jones
0.300015:11Pori ans 3 l, srach
0.300015:38less nodes?, srach
0.200011:00PORI BEST 9 cyclified, the cyclist
0.200011:59PORI BEST 30, Abhisek Ukil
0.200015:20*linear cycler, the cyclist
0.200016:11moving out V, srach
0.200019:50Which one v1.3, Amitabh Verma
0.100011:18PORI BEST 9 cyclified III, the cyclist
0.100014:08Pori Cat2, Abhisek Ukil
0.100014:58Pori ans 3, Abhisek Ukil
0.100017:04Pori leaps 8-, Abhisek Ukil
0.100000:38filter adjusting 01, Alex P.
0.100002:54Optimizer 2.1, Amitabh Verma
0.100012:29PORI BEST 30.1, srach
0.100014:25Lawn Care m, srach
0.100015:59One less, three times, the cyclist
0.100019:34Which one v1.0, Amitabh Verma
0.100022:09more light, Gwendolyn Fish

Best Per Phase

The top 25 contestant's best entry in each phase.

Top contestants during darkness

1Jan LangerThu 12:113229116085741 (cyc: 33, node: 1214)92
2Robert MacraeThu 14:273300016499521 (cyc: 9, node: 702)35
3Nicholas HoweWed 20:253305816528740 (cyc: 9, node: 488)22
4Alfonso Nieto-CastanonThu 08:353322416611546 (cyc: 6, node: 476)35
5Cobus PotgieterThu 15:023428317131977 (cyc: 10, node: 1251)75
6OtakarThu 14:373442217209627 (cyc: 8, node: 791)54
7Gerbert MyburghThu 15:323450717236541 (cyc: 42, node: 1902)26
8Hannes NaudéWed 21:393451317255833 (cyc: 3, node: 429)49
9AminThu 15:373451717257951 (cyc: 6, node: 493)46
10Greg SThu 15:063485717428172 (cyc: 6, node: 821)24
11lcomeWed 23:223497317485898 (cyc: 4, node: 465)35
12Seth KosowskyThu 14:273502217507912 (cyc: 15, node: 996)35
13DreadNoxThu 04:083505517527258 (cyc: 3, node: 207)22
14Elleke JanssenThu 08:023507817537134 (cyc: 13, node: 674)23
15Pete StobbeThu 01:523514717573024 (cyc: 3, node: 143)40
16David CookThu 15:123515017574640 (cyc: 4, node: 448)34
17Darren RowlandWed 20:163521617608076 (cyc: 3, node: 147)20
18Markus BuehrenThu 09:393523117612681 (cyc: 14, node: 954)47
19DmitryWed 21:163524517622190 (cyc: 3, node: 115)40
20LauraWed 23:593527617636617 (cyc: 12, node: 393)29
21Tim SharpThu 05:493529417646808 (cyc: 3, node: 134)34
22Joshua ArnottThu 15:563541717708125 (cyc: 2, node: 171)31
23Sergey Y.Thu 13:443548517742455 (cyc: 4, node: 205)15
24srachThu 15:173551417753017 (cyc: 14, node: 689)57
25Fabio nullWed 22:413553217765593 (cyc: 4, node: 673)31

Top contestants during twilight

1Oliver WoodfordFri 15:192902414414853 (cyc: 12, node: 1537)99
2Robert MacraeFri 12:322947014731583 (cyc: 15, node: 1565)41
3Alfonso Nieto-CastanonFri 10:473042515179119 (cyc: 7, node: 682)88
4Nicholas HoweFri 10:483200615995628 (cyc: 21, node: 1978)51
5Martin ReesFri 11:363211916054865 (cyc: 11, node: 1377)65
6Jan LangerFri 08:253218316033597 (cyc: 41, node: 1326)90
7Greg SFri 13:063220416101524 (cyc: 10, node: 1222)23
8OtakarFri 15:033289016411101 (cyc: 45, node: 2203)80
9sn0202Fri 07:303363616817695 (cyc: 6, node: 312)28
10Jiri ZemanekThu 17:513375316876279 (cyc: 3, node: 608)32
11Sergey Y.Fri 02:193403017014726 (cyc: 8, node: 497)37
12Gerbert MyburghThu 22:063411417040970 (cyc: 40, node: 1734)26
13lcomeThu 21:333412117059993 (cyc: 4, node: 728)35
14AminThu 16:313422317110939 (cyc: 5, node: 504)45
15Mitsuru AmbaiFri 14:113431617157361 (cyc: 3, node: 221)43
16srachFri 07:373446417231688 (cyc: 7, node: 691)22
17Martin FFri 11:503447317232459 (cyc: 6, node: 475)66
18FarhadFri 15:173473117365144 (cyc: 5, node: 396)21
19James WhiteThu 16:253480617397292 (cyc: 20, node: 786)36
20BobFri 15:223499417493087 (cyc: 11, node: 566)64
21Crapoo CrapooFri 09:463519717598426 (cyc: 6, node: 271)22
22Darren RowlandFri 05:233520217593252 (cyc: 22, node: 855)57
23Tim SharpThu 22:533527217636010 (cyc: 3, node: 140)34
24RyanThu 22:133529417646665 (cyc: 3, node: 139)21
25Stas StanislawskiFri 07:503540117700279 (cyc: 6, node: 185)35

Contributions in Daylight

This listing shows how much each contestant improved on the top score over the course of the day.


248.500Oliver Woodford
224.90014:53Score test IV
23.60015:19Last roll of the dice
149.000Mike Russell
0.50019:27Visual vs. Quantitative Quality is quite different
115.00019:57Picture Quality Enhance
19.40020:40Picture Quality Enhance 5-15
0.60020:44Picture Quality Enhance 6-15
3.40020:48Picture Quality Enhance 7-15
10.10020:57Picture Quality Enhance 7-14
67.50022:19let data decide more
7.600Alex P.
0.70022:48what' that?
4.70023:30filter 2
0.60023:45filter 0.2 of no more data


153.100Alex P.
1.80000:15edge=data; jjii
0.10000:38filter adjusting 01
123.90000:41filter adjusting 03
10.20000:55filter adjusting 07
7.60001:13less filter
1.30001:24filter adjusting 14
1.80001:33fct tst done
145.500Abhisek Ukil
71.30009:33Pori clones 1
4.00009:41(e>=20 & e<=25)| (e>33 & e<37) | (e>=100
12.60010:36PORI BEST 8
15.90010:36PORI BEST 9
19.40011:18PORI BEST 12
0.20011:59PORI BEST 30
17.70013:10PORI BEST 30.1.12
3.20013:30PORI BEST
0.90013:48Pori New 1
0.10014:08Pori Cat2
0.10014:58Pori ans 3
0.10017:04Pori leaps 8-
59.300Mike Russell
0.60014:20Lawn Care
35.20014:40Longer is Better but also boring
14.50014:53Restore Clarity to Images using Signal Processing
9.00018:57More organization in the code would be nice
0.10012:29PORI BEST 30.1
5.40013:18PORI BEST
0.10014:25Lawn Care m
0.30015:11Pori ans 3 l
0.30015:38less nodes?
9.50015:40less nodes? IV
12.60015:46less nodes V
6.10015:46less nodes VI
0.20016:11moving out V
0.90016:20moving out VII
34.600Sergey Y.
33.800Amitabh Verma
1.80001:38Uncomplex 2.0
4.90001:56Uncomplex 3.0
4.20002:06Uncomplex 4.0
0.10002:54Optimizer 2.1
1.00018:52Optimizer 5.0
8.00018:54Optimizer 5.2
0.10019:34Which one v1.0
4.00019:38Which one v1.1
5.70019:42Which one v1.2
0.20019:50Which one v1.3
3.80019:56Gotta install a stereo
19.200David Jones
0.40003:13Optima 2.1
11.40004:41Tall Glass of Water
8.100Gwendolyn Fish
0.10022:09more light
0.60023:13bed is calling
1.30009:20mixture once more
0.600the cyclist
0.20011:00PORI BEST 9 cyclified
0.10011:18PORI BEST 9 cyclified III
0.20015:20*linear cycler
0.10015:59One less, three times


78.100Abhisek Ukil
0.10008:04Pori a16
1.10008:10Pori a18
1.30011:07Pori a47
10.70011:19Pori a60
0.20012:09Pori a70
0.60012:11Pori a71
3.20013:18Pori b4
0.30013:29Pori b15
3.10013:53Pori b24
13.50014:24Pori b30
14.80014:53Pori b43
1.60016:27Pori c60
0.40017:09Pori c103
0.90017:44Pori c113
0.80017:46Pori c125
1.80019:06Pori c368
0.40019:17Pori c400
0.50019:30Pori c607
20.10019:32Pori c609
0.60020:05Pori c801
0.70021:20Pori c9003
0.30021:28Pori c9050
1.10021:35Pori c9100
11.50006:47grey lover again
13.20023:58speed lover
62.000Sergey Y.
40.500Jan Langer
12.80015:30Knut passes 31
0.40015:31Knut passes 32
0.50015:31Knut passes 32
6.40015:40Knut passes 33
10.10016:05Knut passes 35
0.30016:23Knut passes 38
10.00019:00Niccola defends 7
16.700Mike Russell
16.70011:58Rejoice the Sun is Out!
1.10010:19Knut passes 4 less fst
2.60010:49Knut passes 4 less cycl 3
1.80010:52Knut passes 19 less
3.80010:58KNUt passes 17 less
5.500Amitabh Verma
0.90002:39Tweaky 1.0
0.10002:49Tweak Bomb
1.10003:13Sleepy 3
1.20003:21Almost Slept
0.30003:26Final One 4 Today
1.90020:40Cat n Mouse


52.600Alex P.
0.60001:18two h ff
0.20010:28Nur die halben Sachen sind kompliziert
0.30013:21Snake 67
37.800the cyclist
37.80018:48Tfr cycling
29.000Amitabh Verma
0.10005:40Another Sunday Gone BY
2.30005:53Turn off the lights
0.30008:46Insomniac 1
0.90009:49Make it Faster Righter.. Simpler
2.60010:09Make it Faster Righter.. Simpler.. tweaked
1.40019:01Add it to the queue 3
18.40019:21Add it to the queue 4
0.10019:21Steroid Tweak tweaked
0.40021:25All quiet on the western front
2.50022:0710 Pointer
2.60007:36more or less blur
6.40009:19Make it Faster Righter
2.400Magnus Schäfer
1.80008:47Some say that his voice can only be heard by cats
0.60012:38Some say that on really warm days he sheds his skin like a snake
1.30014:20even slower
0.10014:27even slower II
0.20014:29even slower III
0.10016:35in and out again II
1.600Abhisek Ukil
1.60010:16Pori d1
1.200Alan Chalker
0.20003:26Tweaking again
0.70016:14Tweaking test
0.10016:16Tweaking test
0.20018:21Tweaking for real
1.200Gwendolyn Fish
0.40010:31Oder ein bisschen mehr
0.100Dana Butler
0.100Mike Russell


63.400Amitabh Verma
0.40003:10Midnight Oil Burner3
0.50004:41Sleepy 1
0.10004:51Sleepy 1
0.10005:48Sleepy 5
0.30006:57Sweet Dreamz
0.10008:41Morning Alreay ?
0.10009:29Back to basics
1.00009:31Back to basics
2.00009:32Back to basics
1.80009:52Back to basics
0.20010:19Back to basics
24.30011:49Back to basics
0.80011:53Back to basics
0.20011:56Back to basics
17.10013:10Back to basics
0.50013:44Back to basics
0.30014:28Back to basics
0.10017:00Wow.. too many automated things floating around
0.80018:04And a few more rabbits
3.80018:05The ONE
0.60018:40Yay, NEO logic works !
0.50018:41This could be the ONE 2..
0.40018:43Aim for the lowest result
0.20020:11Back to basics
0.50020:12Back to basics
7.200Alan Chalker
0.40001:06Night tweaker
0.20003:19Night tweaker
0.30004:45Auto tweaker
1.60004:47Auto tweaker
0.10004:51Auto tweaker
0.20004:54Auto tweaker
0.50006:01Auto tweaker
0.40013:02Auto tweaker
0.70013:06Auto tweaker
0.20013:49Auto tweaker
1.10013:51Auto tweaker
0.30013:53Auto tweaker
0.70015:10Auto tweaker
0.30020:04Auto tweaker
0.20023:45Auto tweaker
5.500Yi Cao
0.10017:24more tuners
0.50020:19auto energy
0.10020:26it's time for jump
4.80020:47tomorrow is another day.
2.20006:41Morning tweaker
0.20010:05close to lunch III
0.10011:38right after lunch
0.500Sergey Y.
0.300Gwendolyn Fish
0.10008:32Time counts
0.20008:52Der Mond ist aufgegangen
0.100the cyclist


28.900Hannes Naudé
28.90015:38Overfitting is a fool's game
11.000Yi Cao
0.40003:53good morning
1.10004:04good morning
0.10004:05good morning
0.80004:09good morning
0.10004:09good morning
4.50008:19random break
4.400the cyclist
0.10015:35One per minute still gives plenty of time for fake entries
4.30015:36Sometimes mere suspicion of sock puppets is enough
3.60007:24random change
0.300Gwendolyn Fish
0.30010:42random cyclic breaking

Best Result

These are the first entries to break through each result barrier, ignoring time.

resulttimecputitle, author
143631051Wed 16:350.03First one out of the gate, Alan Chalker
59943777Wed 16:530.07Average everything, Alan Chalker
24871596Wed 16:5944.51a lazy try, Yi Cao
18525887Wed 17:3220.02Smaller averages, Alan Chalker
17780653Wed 17:5114.41StupidCat, Sergey Y.
17472216Wed 18:2434.08BPF, Nicholas Howe
17232894Wed 18:4676.39ilgaz scores 1:0, Jan Langer
16528740Wed 20:2522.11Interpol3, Nicholas Howe
16131303Wed 23:3077.57ilgaz scores 5:0, Jan Langer
16085741Thu 12:1191.65ilgaz scores 9:0, Jan Langer
16037208Thu 17:1489.82ilgaz scores 12:0, Jan Langer
15735561Thu 22:1339.00Myopic005, Robert Macrae
15252086Fri 10:4365.32try04, Alfonso Nieto-Castanon
15179119Fri 10:4787.91try05, Alfonso Nieto-Castanon
15055208Fri 10:4740.20Myopic007, Robert Macrae
14634633Fri 11:4089.42Score test I (again), Oliver Woodford
14606489Fri 11:5190.34Score test II, Oliver Woodford
14594951Fri 11:5289.95Score test III, Oliver Woodford
14414853Fri 14:5399.73Score test IV, Oliver Woodford
14414141Fri 19:0399.21last roll 7, Alan Chalker
14398399Fri 19:27100.13Visual vs. Quantitative Quality is quite different, Mike Russell
14351808Fri 19:5799.10Picture Quality Enhance, Mike Russell
14311852Sat 00:4184.74filter adjusting 03, Alex P.
14307983Sat 00:5584.22filter adjusting 07, Alex P.
14304659Sat 01:1384.01less filter, Alex P.
14302480Sat 01:2484.66filter adjusting 14, Alex P.
14300119Sat 01:5684.06Uncomplex 3.0, Amitabh Verma
14298825Sat 02:0683.70Uncomplex 4.0, Amitabh Verma
14296537Sat 03:1384.60Optima 2.1, David Jones
14296458Sat 03:2283.47Optima, David Jones
14289687Sat 04:4183.97Tall Glass of Water, David Jones
14288276Sat 05:5184.49Fifteen, David Jones
14287523Sat 06:1284.65Fourteen, David Jones
14252006Sat 09:3382.76Pori clones 1, Abhisek Ukil
14250928Sat 10:3482.75PORI BEST 4, Abhisek Ukil
14244822Sat 11:1850.26PORI BEST 12, Abhisek Ukil
14241614Sat 11:4650.56splitt03, Alex P.
14241511Sat 11:5950.31PORI BEST 30, Abhisek Ukil
14232614Sat 13:1050.22PORI BEST 30.1.12, Abhisek Ukil
14230326Sat 13:1851.79PORI BEST, srach
14228758Sat 13:3051.27PORI BEST, Abhisek Ukil
14227244Sat 13:4164.31PORI BEST 50.1, Abhisek Ukil
14213396Sat 14:0453.21VerticalCat2, Sergey Y.
14205680Sat 14:0491.23VerticalCat3, Sergey Y.
14191923Sat 14:4056.33Longer is Better but also boring, Mike Russell
14184133Sat 14:5358.42Restore Clarity to Images using Signal Processing, Mike Russell
14179352Sat 15:4057.56less nodes? IV, srach
14172943Sat 15:4658.25less nodes V, srach
14169593Sat 15:4659.85less nodes VI, srach
14169036Sat 15:5162.26less nodes IX, srach
14168646Sat 18:5261.30Optimizer 5.0, Amitabh Verma
14164634Sat 18:5461.43Optimizer 5.2, Amitabh Verma
14160113Sat 18:5761.54More organization in the code would be nice, Mike Russell
14150684Sat 18:59109.35Fantome, Mike Russell
14149543Sat 23:0361.08mytweek8, Gwendolyn Fish
14149386Sat 23:1360.54bed is calling, Gwendolyn Fish
14141184Sun 00:40106.97Done is Dinner, Mike Russell
14128583Sun 01:2161.33overfit?, sn0202
14128552Sun 01:3063.30Bobo Platter Coming Up, Mike Russell
14126464Sun 02:0360.72OverCat1, Sergey Y.
14126016Sun 02:2261.10OverCat2, Sergey Y.
14125084Sun 02:2561.09OverCat4, Sergey Y.
14124706Sun 02:3960.77Tweaky 1.0, Amitabh Verma
14124679Sun 02:4960.77Tweak Bomb, Amitabh Verma
14123324Sun 02:5461.04OverCat22, Sergey Y.
14121119Sun 02:5860.71OverCat23, Sergey Y.
14120538Sun 03:1360.90Sleepy 3, Amitabh Verma
14119983Sun 03:2160.80Almost Slept, Amitabh Verma
14119758Sun 03:2660.97Final One 4 Today, Amitabh Verma
14112963Sun 05:0078.50grey lover, sn0202
14111722Sun 06:4767.95grey lover again, sn0202
14110990Sun 08:1068.22Pori a18, Abhisek Ukil
14102043Sun 08:5176.59Knut passes 3, Jan Langer
14100935Sun 09:3081.30Knut passes 12, Jan Langer
14097746Sun 09:4181.81KNUt passes 17, Jan Langer
14091667Sun 09:4797.78Knut passes 19, Jan Langer
14089372Sun 11:0780.81Pori a47, Abhisek Ukil
14089280Sun 11:4681.22Pori a64, Abhisek Ukil
14088419Sun 11:5477.76Wakeup To Music Wakeup to Progress, Mike Russell
14080260Sun 11:5877.48Rejoice the Sun is Out!, Mike Russell
14064019Sun 12:18176.79Solvers Engage, Mike Russell
14064009Sun 14:2477.20Pori b30, Abhisek Ukil
14054922Sun 14:5378.60Pori b43, Abhisek Ukil
14052098Sun 15:1278.29PooryCat43, Sergey Y.
14051406Sun 15:1378.42PoooriCat1, Sergey Y.
14048250Sun 15:1579.24PoooriCat4, Sergey Y.
14048109Sun 15:3176.69Knut passes 32, Jan Langer
14045426Sun 15:3478.02PooooriCat10, Sergey Y.
14043046Sun 15:3878.35PoooriCat61, Sergey Y.
14040260Sun 16:0576.07Knut passes 35, Jan Langer
14039594Sun 16:2376.57Knut passes 38, Jan Langer
14038812Sun 16:2776.03Pori c60, Abhisek Ukil
14037875Sun 17:0676.45PooooooriCat1, Sergey Y.
14037665Sun 17:4476.01Pori c113, Abhisek Ukil
14036792Sun 17:4676.45Pori c125, Abhisek Ukil
14032215Sun 19:0076.07Niccola defends 7, Jan Langer
14030769Sun 19:0676.56Pori c368, Abhisek Ukil
14021146Sun 19:3275.70Pori c609, Abhisek Ukil
14020601Sun 20:0575.94Pori c801, Abhisek Ukil
14017692Sun 20:1175.99PCat4, Sergey Y.
14015832Sun 20:1175.94PCat5, Sergey Y.
14015629Sun 20:1375.97PCat10, Sergey Y.
14014937Sun 20:4075.74Cat n Mouse, Amitabh Verma
14014418Sun 20:4576.46Pori c1000, Abhisek Ukil
14009902Sun 20:5075.77PCat20, Sergey Y.
14009114Sun 21:2076.18Pori c9003, Abhisek Ukil
14008394Sun 21:3576.21Pori c9100, Abhisek Ukil
14006562Mon 00:4764.75kipp11b, Alex P.
14005049Mon 00:5064.83kipp12, Alex P.
14004776Mon 01:0565.00kipp12b, Alex P.
13997505Mon 01:0664.77kipp12_5, Alex P.
13997335Mon 01:1864.30two h ff, Alex P.
13997201Mon 05:4064.33Another Sunday Gone BY, Amitabh Verma
13996157Mon 05:5363.95Turn off the lights, Amitabh Verma
13995622Mon 07:1264.25FinePrint, Gwendolyn Fish
13994174Mon 07:3664.83more or less blur, sn0202
13990472Mon 09:1960.64Make it Faster Righter, sn0202
13989215Mon 10:0960.72Make it Faster Righter.. Simpler.. tweaked, Amitabh Verma
13988360Mon 10:1660.89Pori d1, Abhisek Ukil
13988169Mon 10:3160.48Oder ein bisschen mehr, Gwendolyn Fish
13982319Mon 11:3060.20Euklid02, Alex P.
13978241Mon 12:0759.95Euklid05, Alex P.
13975270Mon 12:0760.54Euklid06, Alex P.
13975237Mon 12:3864.92Some say that on really warm days he sheds his skin like a snake, Magnus Schäfer
13974342Mon 15:5462.15Flecki01, Alex P.
13974130Mon 15:5562.41Flecki02, Alex P.
13974096Mon 15:5562.31Flecki03, Alex P.
13974053Mon 16:0162.68Flecki04, Alex P.
13973803Mon 16:1462.06Tweaking test, Alan Chalker
13973617Mon 16:1662.76Tweaking test, Alan Chalker
13973248Mon 17:0662.35Flecki09, Alex P.
13972988Mon 17:1062.55Flecki10, Alex P.
13972929Mon 17:2862.14Flecki13, Alex P.
13972919Mon 18:1862.59Tweaking for real, Alan Chalker
13972914Mon 18:1962.17Tweaking for real, Alan Chalker
13972859Mon 18:2162.03Tweaking for real, Alan Chalker
13972847Mon 18:2262.35Tweaking for real, Alan Chalker
13972843Mon 18:2362.27Tweaking for real, Alan Chalker
13972694Mon 18:4161.87flecki17, Alex P.
13953072Mon 18:4864.46Tfr cycling, the cyclist
13953056Mon 19:0161.99Add it to the queue 3, Amitabh Verma
13943247Mon 19:2164.13Add it to the queue 4, Amitabh Verma
13943010Mon 21:2564.14All quiet on the western front, Amitabh Verma
13942411Mon 22:0763.7110 Pointer, Amitabh Verma
13942227Tue 01:0663.33Night tweaker, Alan Chalker
13942188Tue 01:5063.68More things to tweak, Amitabh Verma
13942108Tue 03:0962.59Midnight Oil Burner2, Amitabh Verma
13941966Tue 03:1062.47Midnight Oil Burner3, Amitabh Verma
13941896Tue 03:1962.24Night tweaker, Alan Chalker
13941881Tue 04:1962.65Set the alarm, Amitabh Verma
13941604Tue 04:4162.50Sleepy 1, Amitabh Verma
13941348Tue 04:4562.91Auto tweaker, Alan Chalker
13940584Tue 04:4762.67Auto tweaker, Alan Chalker
13940501Tue 04:5162.58Auto tweaker, Alan Chalker
13940491Tue 05:0062.75Sleepy, Amitabh Verma
13937303Tue 05:0561.78ZZZZzzz, Amitabh Verma
13937245Tue 05:2562.25ZZZZzzz, Amitabh Verma
13937188Tue 05:5062.60Sleepy 6, Amitabh Verma
13936897Tue 06:0162.15Auto tweaker, Alan Chalker
13935659Tue 06:4162.56Morning tweaker, srach
13935552Tue 08:2862.69More Parameters to Tweek, Gwendolyn Fish
13935409Tue 09:2962.05Back to basics, Amitabh Verma
13934962Tue 09:3161.80Back to basics, Amitabh Verma
13933965Tue 09:3261.84Back to basics, Amitabh Verma
13932953Tue 09:5262.25Back to basics, Amitabh Verma
13932794Tue 10:1962.01Back to basics, Amitabh Verma
13920647Tue 11:4961.88Back to basics, Amitabh Verma
13920203Tue 11:5362.10Back to basics, Amitabh Verma
13919885Tue 13:0262.16Auto tweaker, Alan Chalker
13919523Tue 13:0662.28Auto tweaker, Alan Chalker
13911089Tue 13:1061.77Back to basics, Amitabh Verma
13910674Tue 13:4462.41Back to basics, Amitabh Verma
13910599Tue 13:4962.29Auto tweaker, Alan Chalker
13910137Tue 13:5161.98Auto tweaker, Alan Chalker
13909920Tue 13:5362.09Auto tweaker, Alan Chalker
13909896Tue 14:2861.60Back to basics, Amitabh Verma
13909634Tue 15:1061.36Auto tweaker, Alan Chalker
13909506Tue 15:3662.73Back to basics, Amitabh Verma
13909441Tue 15:3762.56Back to basics, Amitabh Verma
13909400Tue 17:0362.07New Approach, Amitabh Verma
13908774Tue 18:0462.72And a few more rabbits, Amitabh Verma
13906961Tue 18:0562.47The ONE, Amitabh Verma
13906741Tue 18:4062.03Yay, NEO logic works !, Amitabh Verma
13906534Tue 18:4161.85This could be the ONE 2.., Amitabh Verma
13906352Tue 18:4361.76Aim for the lowest result, Amitabh Verma
13906305Tue 18:5662.21The new ONE, Amitabh Verma
13906074Tue 20:0462.35Auto tweaker, Alan Chalker
13905881Tue 20:1261.82Back to basics, Amitabh Verma
13905495Tue 20:1962.30auto energy, Yi Cao
13903185Tue 20:4761.76tomorrow is another day., Yi Cao
13903160Tue 23:3461.84Back to basics, Amitabh Verma
13903104Tue 23:4561.69Auto tweaker, Alan Chalker
13903004Tue 23:5662.36Auto tweaker, Alan Chalker
13902968Wed 03:1462.35good morning, Yi Cao
13902670Wed 03:5362.55good morning, Yi Cao
13902314Wed 04:0461.77good morning, Yi Cao
13902106Wed 04:0562.41good morning, Yi Cao
13901937Wed 04:0961.42good morning, Yi Cao
13901798Wed 04:0961.90good morning, Yi Cao
13900030Wed 07:2461.81random change, Magnus
13897755Wed 08:1961.75random break, Yi Cao
13897329Wed 12:3761.43tidy-up, Yi Cao
13897026Wed 12:3961.35tidy-up, Yi Cao
13896961Wed 12:4261.65tidy-up, Yi Cao
13896719Wed 12:4760.99tidy-up, Yi Cao
13896318Wed 12:4961.21tidy-up, Yi Cao
13896027Wed 12:5261.47tidy-up, Yi Cao
13896000Wed 13:0260.64tidy-up, Yi Cao
13895981Wed 13:1361.06ash, Yi Cao
13895939Wed 13:1960.90ash, Yi Cao
13895911Wed 13:2060.72ash, Yi Cao
13895887Wed 14:0261.53black box, Yi Cao
13895862Wed 15:3160.94Pori f1, Abhisek Ukil
13895839Wed 15:3161.75Pori f2, Abhisek Ukil
13893373Wed 15:3662.12Sometimes mere suspicion of sock puppets is enough, the cyclist
13878650Wed 15:3862.68Overfitting is a fool's game, Hannes Naudé

All the Leaders

Here is a chronological list of the entries that held the number one spot, listed with the date submitted, the percent improvement in score, and the length of time each spent on top.

contestanttitledate% imphours
1Alan ChalkerFirst one out of the gateWed 16:35Inf%0.31
2Alan ChalkerAverage everythingWed 16:5358.27%0.10
3Yi Caoa lazy tryWed 16:5958.51%0.54
4Alan ChalkerSmaller averagesWed 17:3225.51%0.32
5Sergey Y.StupidCatWed 17:514.02%0.55
6Nicholas HoweBPFWed 18:241.73%0.38
7Jan Langerilgaz scores 1:0Wed 18:461.31%0.47
8Jan Langerilgaz scores 2:0Wed 19:150.05%1.17
9Nicholas HoweInterpol3Wed 20:254.09%3.08
10Jan Langerilgaz scores 5:0Wed 23:302.25%12.69
11Jan Langerilgaz scores 9:0Thu 12:110.07%5.05
12Jan Langerilgaz scores 12:0Thu 17:140.32%2.21
13Oliver WoodfordThird try (faster)Thu 19:260.02%2.25
14Robert MacraeMyopic004Thu 21:420.29%0.53
15Robert MacraeMyopic005Thu 22:131.92%12.49
16Alfonso Nieto-Castanontry04Fri 10:433.05%0.07
17Alfonso Nieto-Castanontry05Fri 10:470.29%0.01
18Robert MacraeMyopic007Fri 10:471.02%0.88
19Oliver WoodfordScore test I (again)Fri 11:402.55%0.18
20Oliver WoodfordScore test IIFri 11:510.17%0.01
21Oliver WoodfordScore test IIIFri 11:520.09%3.03
22Oliver WoodfordScore test IVFri 14:530.77%0.43
23Oliver WoodfordLast roll of the diceFri 15:190.08%4.14
24Mike RussellVisual vs. Quantitative Quality is quite differentFri 19:270.00%0.48
25Mike RussellPicture Quality EnhanceFri 19:570.40%0.72
26Mike RussellPicture Quality Enhance 5-15Fri 20:400.07%0.07
27Mike RussellPicture Quality Enhance 6-15Fri 20:440.00%0.07
28Mike RussellPicture Quality Enhance 7-15Fri 20:480.01%0.14
29Mike RussellPicture Quality Enhance 7-14Fri 20:570.03%1.37
30sn0202let data decide moreFri 22:190.23%0.48
31Alex P.what' that?Fri 22:480.00%0.71
32Alex P.filter 2Fri 23:300.02%0.24
33Alex P.filter 0.2 of no more dataFri 23:450.00%0.14
34Alex P.edge=dataFri 23:530.01%0.37
35Alex P.edge=data; jjiiSat 00:150.01%0.37
36Alex P.filter adjusting 01Sat 00:380.00%0.06
37Alex P.filter adjusting 03Sat 00:410.43%0.24
38Alex P.filter adjusting 07Sat 00:550.04%0.29
39Alex P.less filterSat 01:130.03%0.18
40Alex P.filter adjusting 14Sat 01:240.00%0.15
41Alex P.fct tst doneSat 01:330.01%0.10
42Amitabh VermaUncomplex 2.0Sat 01:380.01%0.30
43Amitabh VermaUncomplex 3.0Sat 01:560.02%0.17
44Amitabh VermaUncomplex 4.0Sat 02:060.01%0.80
45Amitabh VermaOptimizer 2.1Sat 02:540.00%0.33
46David JonesOptima 2.1Sat 03:130.00%0.14
47David JonesOptima 03:220.02%1.33
48David JonesTall Glass of WaterSat 04:410.04%0.65
49David JonesTrioSat 05:210.00%0.43
50David JonesTripletsSat 05:470.00%3.56
51sn0202mixture once moreSat 09:200.00%0.22
52Abhisek UkilPori clones 1Sat 09:330.25%0.13
53Abhisek Ukil(e>=20 & e<=25)| (e>33 & e<37) | (e>=100Sat 09:410.01%0.91
54Abhisek UkilPORI BEST 8Sat 10:360.04%0.00
55Abhisek UkilPORI BEST 9Sat 10:360.06%0.40
56the cyclistPORI BEST 9 cyclifiedSat 11:000.00%0.30
57the cyclistPORI BEST 9 cyclified IIISat 11:180.00%0.01
58Abhisek UkilPORI BEST 12Sat 11:180.07%0.46
59Alex P.splitt03Sat 11:460.02%0.22
60Abhisek UkilPORI BEST 30Sat 11:590.00%0.50
61srachPORI BEST 30.1Sat 12:290.00%0.69
62Abhisek UkilPORI BEST 30.1.12Sat 13:100.06%0.13
63srachPORI BEST 13:180.02%0.19
64Abhisek UkilPORI BEST 13:300.01%0.30
65Abhisek UkilPori New 1Sat 13:480.00%0.27
66Sergey Y.VerticalCat2Sat 14:040.10%0.07
67Abhisek UkilPori Cat2Sat 14:080.00%0.01
68Sergey Y.VertivalCat4Sat 14:090.01%0.11
69Sergey Y.VerticalCat6Sat 14:160.01%0.07
70Mike RussellLawn CareSat 14:200.00%0.09
71srachLawn Care mSat 14:250.00%0.25
72Mike RussellLonger is Better but also boringSat 14:400.12%0.21
73Mike RussellRestore Clarity to Images using Signal ProcessingSat 14:530.05%0.08
74Abhisek UkilPori ans 3Sat 14:580.00%0.22
75srachPori ans 3 lSat 15:110.00%0.16
76the cyclist*linear cyclerSat 15:200.00%0.29
77srachless nodes?Sat 15:380.00%0.03
78srachless nodes? IVSat 15:400.03%0.11
79srachless nodes VSat 15:460.04%0.00
80srachless nodes VISat 15:460.02%0.21
81the cyclistOne less, three timesSat 15:590.00%0.20
82srachmoving out VSat 16:110.00%0.14
83srachmoving out VIISat 16:200.00%0.73
84Abhisek UkilPori leaps 8-Sat 17:040.00%1.81
85Amitabh VermaOptimizer 5.0Sat 18:520.00%0.03
86Amitabh VermaOptimizer 5.2Sat 18:540.03%0.06
87Mike RussellMore organization in the code would be niceSat 18:570.03%0.61
88Amitabh VermaWhich one v1.0Sat 19:340.00%0.06
89Amitabh VermaWhich one v1.1Sat 19:380.01%0.08
90Amitabh VermaWhich one v1.2Sat 19:420.02%0.14
91Amitabh VermaWhich one v1.3Sat 19:500.00%0.10
92Amitabh VermaGotta install a stereoSat 19:560.01%2.21
93Gwendolyn Fishmore lightSat 22:090.00%0.90
94Gwendolyn Fishmytweek8Sat 23:030.03%0.16
95Gwendolyn Fishbed is callingSat 23:130.00%2.15
96sn0202overfit?Sun 01:210.15%0.69
97Sergey Y.OverCat1Sun 02:030.02%0.33
98Sergey Y.OverCat2Sun 02:220.00%0.05
99Sergey Y.OverCat4Sun 02:250.01%0.23
100Amitabh VermaTweaky 1.0Sun 02:390.00%0.17
101Amitabh VermaTweak BombSun 02:490.00%0.09
102Sergey Y.OverCat22Sun 02:540.01%0.07
103Sergey Y.OverCat23Sun 02:580.02%0.24
104Amitabh VermaSleepy 3Sun 03:130.00%0.14
105Amitabh VermaAlmost SleptSun 03:210.00%0.08
106Amitabh VermaFinal One 4 TodaySun 03:260.00%3.35
107sn0202grey lover againSun 06:470.04%1.28
108Abhisek UkilPori a16Sun 08:040.00%0.11
109Abhisek UkilPori a18Sun 08:100.00%2.15
110srachKnut passes 4 less fstSun 10:190.00%0.49
111srachKnut passes 4 less cycl 3Sun 10:490.01%0.05
112srachKnut passes 19 lessSun 10:520.01%0.11
113srachKNUt passes 17 lessSun 10:580.01%0.14
114Abhisek UkilPori a47Sun 11:070.00%0.21
115Abhisek UkilPori a60Sun 11:190.04%0.65
116Mike RussellRejoice the Sun is Out!Sun 11:580.06%0.17
117Abhisek UkilPori a70Sun 12:090.00%0.03
118Abhisek UkilPori a71Sun 12:110.00%0.13
119Sergey Y.PoriCat1Sun 12:180.02%0.20
120Sergey Y.PoriCat14Sun 12:300.01%0.08
121Sergey Y.PoriCat21Sun 12:350.01%0.05
122Sergey Y.PoriCat30Sun 12:380.00%0.29
123Sergey Y.PoriCat80Sun 12:560.01%0.37
124Abhisek UkilPori b4Sun 13:180.01%0.18
125Abhisek UkilPori b15Sun 13:290.00%0.41
126Abhisek UkilPori b24Sun 13:530.01%0.50
127Abhisek UkilPori b30Sun 14:240.05%0.48
128Abhisek UkilPori b43Sun 14:530.05%0.32
129Sergey Y.PooryCat43Sun 15:120.02%0.03
130Sergey Y.PoooriCat1Sun 15:130.00%0.02
131Sergey Y.PoooriCat4Sun 15:150.01%0.06
132Sergey Y.PoooriCat302Sun 15:180.01%0.20
133Jan LangerKnut passes 31Sun 15:300.05%0.02
134Jan LangerKnut passes 32Sun 15:310.00%0.00
135Jan LangerKnut passes 32Sun 15:310.00%0.16
136Jan LangerKnut passes 33Sun 15:400.02%0.41
137Jan LangerKnut passes 35Sun 16:050.04%0.30
138Jan LangerKnut passes 38Sun 16:230.00%0.00
139Sergey Y.PoooriCat708Sun 16:230.00%0.06
140Abhisek UkilPori c60Sun 16:270.01%0.66
141Sergey Y.PooooooriCat1Sun 17:060.00%0.04
142Abhisek UkilPori c103Sun 17:090.00%0.59
143Abhisek UkilPori c113Sun 17:440.00%0.03
144Abhisek UkilPori c125Sun 17:460.00%1.24
145Jan LangerNiccola defends 7Sun 19:000.04%0.09
146Abhisek UkilPori c368Sun 19:060.01%0.18
147Abhisek UkilPori c400Sun 19:170.00%0.22
148Abhisek UkilPori c607Sun 19:300.00%0.03
149Abhisek UkilPori c609Sun 19:320.07%0.56
150Abhisek UkilPori c801Sun 20:050.00%0.09
151Sergey Y.PCat4Sun 20:110.02%0.00
152Sergey Y.PCat5Sun 20:110.01%0.03
153Sergey Y.PCat10Sun 20:130.00%0.46
154Amitabh VermaCat n MouseSun 20:400.01%0.17
155Sergey Y.PCat20Sun 20:500.04%0.50
156Abhisek UkilPori c9003Sun 21:200.00%0.13
157Abhisek UkilPori c9050Sun 21:280.00%0.11
158Abhisek UkilPori c9100Sun 21:350.00%0.70
159Sergey Y.PoCat1Sun 22:170.00%1.67
160sn0202speed loverSun 23:580.05%0.43
161Alex P.var05Mon 00:230.00%0.39
162Alex P.kipp11bMon 00:470.01%0.06
163Alex P.kipp12Mon 00:500.01%0.25
164Alex P.kipp12bMon 01:050.00%0.01
165Alex P.kipp12_5Mon 01:060.05%0.19
166Alex P.two h ffMon 01:180.00%2.14
167Alan ChalkerTweaking againMon 03:260.00%2.23
168Amitabh VermaAnother Sunday Gone BYMon 05:400.00%0.21
169Amitabh VermaTurn off the lightsMon 05:530.01%1.32
170Gwendolyn FishFinePrintMon 07:120.00%0.40
171sn0202more or less blurMon 07:360.01%1.18
172Amitabh VermaInsomniac 1Mon 08:460.00%0.01
173Magnus SchäferSome say that his voice can only be heard by catsMon 08:470.01%0.54
174sn0202Make it Faster RighterMon 09:190.02%0.49
175Amitabh VermaMake it Faster Righter.. SimplerMon 09:490.00%0.35
176Amitabh VermaMake it Faster Righter.. Simpler.. tweakedMon 10:090.01%0.12
177Abhisek UkilPori d1Mon 10:160.01%0.19
178Alex P.Nur die halben Sachen sind kompliziertMon 10:280.00%0.06
179Gwendolyn FishOder ein bisschen mehrMon 10:310.00%0.97
180Alex P.Euklid02Mon 11:300.04%0.62
181Alex P.Euklid05Mon 12:070.03%0.01
182Alex P.Euklid06Mon 12:070.02%0.51
183Magnus SchäferSome say that on really warm days he sheds his skin like a snakeMon 12:380.00%0.72
184Alex P.Snake 67Mon 13:210.00%0.99
185sracheven slowerMon 14:200.00%0.11
186sracheven slower IIMon 14:270.00%0.04
187sracheven slower IIIMon 14:290.00%1.41
188Alex P.Flecki01Mon 15:540.01%0.01
189Alex P.Flecki02Mon 15:550.00%0.01
190Alex P.Flecki03Mon 15:550.00%0.31
191Alan ChalkerTweaking testMon 16:140.00%0.04
192Alan ChalkerTweaking testMon 16:160.00%0.31
193srachin and out again IIMon 16:350.00%0.10
194Mike Russellmsr_0007Mon 16:410.00%0.41
195Alex P.Flecki09Mon 17:060.00%0.06
196Alex P.Flecki10Mon 17:100.00%0.26
197Dana ButlerMonkeyTeam3Mon 17:250.00%0.04
198Alex P.Flecki13Mon 17:280.00%0.88
199Alan ChalkerTweaking for realMon 18:210.00%0.35
200Alex P.flecki17Mon 18:410.00%0.11
201the cyclistTfr cyclingMon 18:480.14%0.21
202Amitabh VermaAdd it to the queue 3Mon 19:010.01%0.34
203Amitabh VermaAdd it to the queue 4Mon 19:210.07%0.01
204Amitabh VermaSteroid Tweak tweakedMon 19:210.00%2.06
205Amitabh VermaAll quiet on the western frontMon 21:250.00%0.69
206Amitabh Verma10 PointerMon 22:070.01%2.36
207Sergey Y.GCat14Tue 00:280.00%0.62
208Alan ChalkerNight tweakerTue 01:060.00%0.86
209the cyclistGCCTue 01:570.00%0.82
210Sergey Y.GCat14Tue 02:460.00%0.40
211Amitabh VermaMidnight Oil Burner3Tue 03:100.00%0.14
212Alan ChalkerNight tweakerTue 03:190.00%1.37
213Amitabh VermaSleepy 1Tue 04:410.00%0.07
214Alan ChalkerAuto tweakerTue 04:450.00%0.04
215Alan ChalkerAuto tweakerTue 04:470.01%0.06
216Amitabh VermaSleepy 1Tue 04:510.00%0.01
217Alan ChalkerAuto tweakerTue 04:510.00%0.04
218Alan ChalkerAuto tweakerTue 04:540.00%0.18
219Amitabh VermaZZZZzzzTue 05:050.02%0.72
220Amitabh VermaSleepy 5Tue 05:480.00%0.22
221Amitabh VermaZ3Tue 06:010.00%0.01
222Alan ChalkerAuto tweakerTue 06:010.00%0.65
223srachMorning tweakerTue 06:410.01%0.28
224Amitabh VermaSweet DreamzTue 06:570.00%1.58
225Gwendolyn FishTime countsTue 08:320.00%0.15
226Amitabh VermaMorning Alreay ?Tue 08:410.00%0.19
227Gwendolyn FishDer Mond ist aufgegangenTue 08:520.00%0.62
228Amitabh VermaBack to basicsTue 09:290.00%0.03
229Amitabh VermaBack to basicsTue 09:310.00%0.01
230Amitabh VermaBack to basicsTue 09:320.01%0.33
231Amitabh VermaBack to basicsTue 09:520.01%0.22
232srachclose to lunch IIITue 10:050.00%0.24
233Amitabh VermaBack to basicsTue 10:190.00%1.32
234srachright after lunchTue 11:380.00%0.17
235Amitabh VermaBack to basicsTue 11:490.09%0.08
236Amitabh VermaBack to basicsTue 11:530.00%0.04
237Amitabh VermaBack to basicsTue 11:560.00%1.10
238Alan ChalkerAuto tweakerTue 13:020.00%0.07
239Alan ChalkerAuto tweakerTue 13:060.00%0.07
240Amitabh VermaBack to basicsTue 13:100.06%0.56
241Amitabh VermaBack to basicsTue 13:440.00%0.08
242Alan ChalkerAuto tweakerTue 13:490.00%0.04
243Alan ChalkerAuto tweakerTue 13:510.00%0.04
244Alan ChalkerAuto tweakerTue 13:530.00%0.59
245Amitabh VermaBack to basicsTue 14:280.00%0.70
246Alan ChalkerAuto tweakerTue 15:100.00%1.83
247Amitabh VermaWow.. too many automated things floating aroundTue 17:000.00%0.40
248Yi Caomore tunersTue 17:240.00%0.66
249Amitabh VermaAnd a few more rabbitsTue 18:040.00%0.02
250Amitabh VermaThe ONETue 18:050.01%0.59
251Amitabh VermaYay, NEO logic works !Tue 18:400.00%0.02
252Amitabh VermaThis could be the ONE 2..Tue 18:410.00%0.03
253Amitabh VermaAim for the lowest resultTue 18:430.00%1.35
254Alan ChalkerAuto tweakerTue 20:040.00%0.10
255Amitabh VermaBack to basicsTue 20:110.00%0.03
256Amitabh VermaBack to basicsTue 20:120.00%0.12
257Yi Caoauto energyTue 20:190.00%0.11
258Yi Caoit's time for jumpTue 20:260.00%0.35
259Yi Caotomorrow is another day.Tue 20:470.02%2.96
260Alan ChalkerAuto tweakerTue 23:450.00%4.14
261Yi Caogood morningWed 03:530.00%0.18
262Yi Caogood morningWed 04:040.00%0.01
263Yi Caogood morningWed 04:050.00%0.06
264Yi Caogood morningWed 04:090.00%0.01
265Yi Caogood morningWed 04:090.00%3.25
266Magnusrandom changeWed 07:240.01%0.91
267Yi Caorandom breakWed 08:190.02%2.38
268Gwendolyn Fishrandom cyclic breakingWed 10:420.00%1.78
269Yi Caotidy-upWed 12:280.00%0.15
270Yi Caotidy-upWed 12:370.00%0.03
271Yi Caotidy-upWed 12:390.00%0.14
272Yi Caotidy-upWed 12:470.00%0.03
273Yi Caotidy-upWed 12:490.00%0.06
274Yi Caotidy-upWed 12:520.00%0.17
275Yi Caotidy-upWed 13:020.00%0.29
276Yi CaoashWed 13:200.00%2.25
277the cyclistOne per minute still gives plenty of time for fake entriesWed 15:350.00%0.02
278the cyclistSometimes mere suspicion of sock puppets is enoughWed 15:360.02%0.04
279Hannes NaudéOverfitting is a fool's gameWed 15:380.10%19.52


This is the most useful diagram for visualizing the contest. It shows the dramatic improvements that occur over time. Each passing entry is a dot, with its submission time on the x-axis and it's score on the y-axis. Since a lower score is better, the dots push down further as time goes on. All entries that took the lead are colored red and the red lines marks the best score at any time. The sample entry is the leftmost red dot and the leader is the last red dot in the lower right.

Some of the leading entries are circled and labeled with the author's name. They show who was making the biggest improvements in score (represented in this plot as a vertical drop in the red line) at any point in the contest.

The improvement in score happens over a huge dynamic range. Early in the contest, it is easy to make big improvements in the score. As the algorithms get better, improvements become increasingly difficult. To show this, we normalize the scores so the best (smallest) score is 1 and the worst score is some power of 10. Then we plot them on a logarithmic scale. This exaggerates the improvements at the end of the contest. By increasing the number of decades we spread the scores over, we increasingly exaggerate the smaller improvements made at the end of the contest.

results vs. cpu time

One of the interesting aspects of the contest is that entries needed to minimize two things at once. Getting the best possible answer must be weighed against the time an entry takes to run. The entry's score is a combination of these two factors. Plotting these two against each other yields a very different picture of the contest.

The leader line is shown in red again in this picture. The gray contours show lines of constant score. In general, the best score is somewhere along the lower-left frontier of shortest time and lowest results. Algorithmic improvements tend to move down and to the right, and they are followed by tweaking battles in which the new algorithm claws its way back down the time axis.

Submissions Over Time

This area plot shows how the total number of entries grows. The green area represents the entries that passed the test suite, and the red area shows those that failed.

Activity by Hour

Each bar represents an hour's worth of entries. The contest has three major phases. The first day is in "darkness", where contestants can submit entries but they can't see any of the entries or their scores. To win this phase, an entry must be general and robust. The second day is "twilight", where we show the scores but not yet the code. This allows contestants to develop their algorithm without anyone else being able to leverage their ideas.

On the histogram, the darkness and twilight phases are the two boxes on the left. The other boxes and vertical gray lines call out other mid-contest challenges.

Participants per Day

We know that one participant may submit hundreds of entries. Let's look at the number of unique participants on each day of the contest.

Most active participants

This bar plot shows the number of entries submitted by our most prolific authors.

Entry length

This plot shows how many characters of code are in each of the leading entries. In regions where you see entries of more or less the same length there are very few differences from one entry to the next. In other places you can see the code getting shorter or longer. The density of the lines also shows how often the lead is changing. It's most impressive when shorter code takes the top spot, either by pruning unneeded computation or by introducing new algorithms. The red line at the top shows the cap on entry length.

Percent improvement

This is a plot of the percent improvement generated by each new leader relative to the previous leader. This lets us see who is responsible for the biggest changes over the contest. The upper frontier of this plot is a sort of hall of fame, and someone whose name appears there more than once managed to make several significant improvements to the score.

Improvements by day

Highlighting all the entries submitted on each day in red shows shows how the overall progression down and to the left. A black circle indicates the leader at the end of each day.