Feature Selection Challenge
The challenge is over, it ended on December 12, 2003, but the web site is now open again for people who want to benchmark their system against the challenge entries.

Original Challenge entries
Validation Challenge entries
Post Challenge entries

Rank Method Balanced Error Area Under Curve Features Probes Date Name
Train Valid Test Train Valid Test # % # %
1update0.01590.01760.06140.97360.97030.9429100.0055.252008-06-25 00:36:14Vladimir Nikulin
2final_the2nd0.01110.01200.06220.99630.99650.968011.5635.352006-03-21 09:35:33Patrick Pletscher
3BayesNN-DFT-combo+v0.00370.00340.06480.99990.99970.972080.3047.772003-12-08 16:00:12Radford Neal & Jianguo Zhang
4Aggregate 20.02080.02380.06520.99110.99370.97188.364.732009-05-02 23:11:34Neville Grech
5final_submission_20.02110.02210.06530.99300.99300.966011.5627.272006-02-22 11:38:58Patrick Pletscher
6final_submission0.02110.02210.06610.99300.99300.966011.5627.282006-02-22 10:50:35Patrick Pletscher
7mixed0.00250.00070.06750.99820.99930.9290100.0055.252007-11-06 00:43:29Vladimir Nikulin
8normalize-pacbank-svm-cv0.00690.02030.06810.99790.98680.97028.2416.352006-02-28 08:41:15Jiwen Li
9BayesNN-DFT-combo0.00390.05260.06840.99980.98270.972280.3047.772003-12-01 22:23:24Radford Neal & Jianguo Zhang
10BayesNN-DFT-combo0.00370.05230.06870.99980.98260.972180.3047.772003-12-01 22:54:48Radford Neal & Jianguo Zhang
11Aggregate 10.01880.03300.06900.99220.98700.97228.364.832009-05-02 22:59:26Neville Grech
12final0.01000.02460.06940.99690.98550.96957.0922.642006-02-28 22:09:47Theodor Mader
13ensemble0.00270.00160.07070.77180.77670.7441100.0055.252007-10-30 01:38:58Vladimir Nikulin
14BayesNN-small+v0.01090.00960.07130.99430.99650.97084.742.912003-12-08 15:57:41Radford Neal
15BayesNN-large+v0.00900.00550.07270.99990.99970.969860.3028.512003-12-08 15:55:35Radford Neal
16Nameless - by Amir & Ran0.02100.02580.07780.99150.99140.964332.2816.222003-12-07 15:07:48Ran Bachrach
17BayesNN-large+v0.00380.02540.07830.99990.99720.967860.3028.512003-12-08 15:38:54Radford Neal
18GhostMiner - Pack 20.01540.01540.07860.98460.98460.921480.6036.052003-12-08 21:23:16GhostMiner Team (Krzysztof Grąbczewski & Norb
19GhostMiner - Pack 10.01420.01090.07890.98580.98910.921180.6036.052003-12-08 21:21:00GhostMiner Team (Krzysztof Grąbczewski & Norb
20final 2-30.02050.02280.07910.97970.97650.914524.919.912003-12-08 12:35:18Yi-Wei Chen
21New-Bayes-nn-sel+v0.00840.00990.07920.99800.99590.96707.4617.602004-08-04 21:24:47Radford Neal
22RF+RLSC0.02030.03960.08040.97970.96040.919622.3817.522003-12-09 02:01:34Kari Torkkola & Eugene Tuv
23New-Bayes-small+v0.00810.00990.08110.99800.99590.96696.586.102004-08-04 21:15:31Radford Neal
24CBAMethod3E0.04520.08170.08140.98900.96740.966212.780.062003-12-08 23:56:54CBAGroup
25CBAMethod3E0.04520.08170.08140.98900.96740.966212.780.062003-12-09 00:06:58CBAGroup
26BayesNN-small0.01070.08470.08200.99460.96080.96114.742.912003-12-01 18:14:24Radford Neal
27BayesNN-large0.00390.06810.08210.99980.97100.963660.3028.512003-12-01 21:47:14Radford Neal
28baseline0.01150.03100.08220.99630.98510.95827.5416.392009-06-23 00:56:34Warmson
29RF+RLSC0.01520.02500.08230.98480.97500.917722.3817.522003-12-09 01:59:48Kari Torkkola & Eugene Tuv
30GhostMiner - Pack 30.02230.04170.08240.97770.95830.917680.6036.052003-12-08 22:25:12GhostMiner Team (Krzysztof Grąbczewski & Norb
31New-Bayes-large+v0.01530.01480.08380.99470.99500.959650.1937.212004-08-04 21:14:29Radford Neal
32A shot in the dark - By Amir & Ran0.01970.02630.08410.98920.98560.945921.0812.722003-12-08 13:33:17Amir Navot
33BayesNN-E0.00410.08630.08430.99980.96020.963096.7556.672003-12-01 17:53:25Radford Neal
34IDEAL0.00460.05690.08531.00000.97160.965862.5036.402003-12-05 14:43:19BorisovEruhimovTuv
35IDEAL0.00460.05690.08531.00000.97160.965862.5036.402003-12-08 12:08:13BorisovEruhimovTuv
36Baseline0.01150.03100.08550.99630.98510.95607.5817.252009-04-23 19:38:49Neville Grech
370.01150.03100.08550.99630.98510.95607.5817.252009-04-26 18:30:51
38baseline0.01150.03100.08550.99630.98510.95607.5817.252009-05-18 11:09:29Chunhui Li
39baseline0.01150.03100.08550.99630.98510.95607.5817.252009-06-20 11:24:33Chi-Han Chuang
40f-score0.49690.50830.08590.50310.49170.9141100.0055.252005-02-22 04:01:54Yi-Wei Chen
41post test0.49690.50830.08590.50310.49170.9141100.0055.252005-03-07 01:53:55Yi-Wei Chen
42FS+normalize+SVC0.01360.08160.08610.99570.95680.956216.6028.702008-11-20 15:21:29Ayse Kucukyilmaz
43BayesNN-B0.01260.09090.08650.99430.95820.958919.9722.692003-11-30 20:12:11Radford Neal
44New-Bayes-small0.00820.09740.08680.99830.96130.95726.586.102004-08-04 21:09:56Radford Neal
45final2-20.02440.02320.08800.97340.97670.898424.626.682003-12-08 12:34:26Yi-Wei Chen
46New-Bayes-nn-red+v0.00800.03140.08820.99710.98060.95492.466.582004-08-04 21:26:24Radford Neal
47Bayesian + SVMs0.05400.06120.08860.99210.97690.963767.5338.032003-12-07 04:13:10Chu Wei
48BayesNN-A0.01070.08550.08860.99610.96640.960278.5854.412003-12-01 15:18:52Radford Neal
49New-Bayes-large0.01350.08470.08860.99570.96280.958150.1937.212004-08-04 20:59:45Radford Neal
50BayesNN-A20.01090.08470.08870.99620.96660.960578.5854.412003-11-30 23:27:48Radford Neal
51New-Bayes-nn-pc+v0.01800.02020.08890.99430.99480.956470.7160.152004-08-04 21:23:01Radford Neal
52greatest hits one0.02220.08360.08990.99090.96130.955442.1824.742003-11-04 13:39:58Ran Bachrach
53RF with feature selection0.07980.08240.09060.96600.96470.96013.742.032003-12-08 23:21:53Vivian Ng; Leo Breiman
54RF+RLSC0.00950.08200.09070.99050.91800.909322.5417.532003-12-01 17:19:25Kari Torkkola & Eugene Tuv
55New-Bayes-nn-sel0.00800.10810.09120.99830.95320.95437.4617.602004-08-04 21:23:59Radford Neal
56SVMbased30.01600.07960.09210.99040.93490.936029.5121.722003-12-01 16:55:17Wuzhili
57final 20.01320.08620.09310.98680.91380.906924.9111.982003-11-30 12:38:27Yi-Wei Chen
58test0.01320.08620.09310.98680.91380.906924.9111.982003-12-08 05:42:56Yi-Wei Chen
59svmBased40.01640.07830.09400.98990.93610.934129.5121.722003-12-01 17:10:25Wuzhili
60Bayesian + SVMs0.10730.09190.09430.96610.96620.957067.5338.032003-10-12 20:45:25Chu Wei
61featselwithclop0.01060.10200.09490.99670.95440.954722.8014.542008-11-18 20:19:32Aysegul Ozturk
62clopi0.01060.10200.09490.99670.95440.954722.8014.542008-12-27 14:06:39Sarah Connor
63Bayesian Support Vector Machines0.13760.09320.09500.90900.96660.957567.5338.032003-10-11 14:39:38Chu Wei
64P-SVM / nu-SVM (1)0.02150.01980.09520.99390.99490.94914.7239.942003-12-07 17:26:57Sepp Hochreiter
65P-SVM / nu-SVM (1)0.02150.01980.09520.99390.99490.94914.7239.942003-12-07 17:37:01Sepp Hochreiter
66TransSVMbased0.10610.08380.09600.90030.93310.932129.5121.722003-11-30 15:20:54Wuzhili
67transSVMbased20.01660.08380.09600.98980.93310.932129.5121.722003-11-30 16:18:22Wuzhili
68myBestValidResult0.01660.07970.09600.98980.93480.932129.5121.722003-11-30 16:41:07Wuzhili
69originalFileLastTime0.01660.07970.09600.98980.93480.932129.5121.722003-12-08 23:52:26Wuzhili
70BayesNN-A10.01200.10050.09710.99610.96040.956792.8358.432003-11-30 23:27:26Radford Neal
71clopii0.02600.10470.09720.99070.95190.951710.2013.242008-12-29 12:42:01Dean Winter
72cbamethod3-D0.04520.08170.09730.98900.96740.958412.780.062003-12-08 21:54:30CBAGroup
73P-SVM / nu-SVM (not too many features)0.02230.02100.09730.99370.99490.94802.9432.752003-12-07 17:35:15Sepp Hochreiter
74The Best of Amir & Ran, vol. 10.01770.07760.09940.99710.96000.947732.1819.522003-11-30 16:17:50Amir Navot
75New-Bayes-nn-pc0.01410.09630.09960.99570.95920.952570.7160.152004-08-04 21:22:16Radford Neal
76IDEAL0.00540.11170.10010.99960.94460.947162.6040.302003-11-12 15:21:58BorisovEruhimovTuv
77IDEAL0.00460.11070.10011.00000.94290.947162.6040.302003-11-14 13:42:19BorisovEruhimovTuv
78IDEAL0.00460.11070.10011.00000.94290.947162.6040.302003-11-27 14:57:15BorisovEruhimovTuv
79P-SVM / nu-SVM (few features 1)0.02230.02100.10020.99370.99490.94632.1433.332003-12-07 17:31:22Sepp Hochreiter
80Collection20.01590.08930.10030.98410.91070.89977.7110.602003-11-25 14:25:13Amir Reza Saffari
81Collection10.01540.08610.10060.98460.91390.899432.2625.502003-11-25 14:23:34Amir Reza Saffari
82cbamethod3-C0.03100.09420.10220.99180.96280.953912.780.062003-12-08 21:45:03CBAGroup
83clopf0.03130.10080.10220.98600.94610.94938.2412.912008-12-29 13:49:48Dean Winter
84P-SVM / nu-SVM (2)0.02010.01920.10300.99450.99580.94584.6142.252003-12-07 17:29:46Sepp Hochreiter
85IDEAL0.00540.11810.10350.99960.94820.949362.6040.302003-11-12 15:16:53BorisovEruhimovTuv
86final 10.01320.10570.10380.98680.89430.89626.236.102003-11-30 11:57:36Yi-Wei Chen
87Modified RF0.08180.11540.10460.96400.94520.94583.869.822003-11-28 22:52:15Vivian Ng; Leo Breiman
88Depends I0.00770.07640.10520.99980.95070.928013.9927.372003-11-30 20:13:18Saharon Rosset & Ji Zhu
89Depends IV0.00770.07660.10550.99980.95140.928013.9927.372003-11-30 20:16:03Saharon Rosset & Ji Zhu
90Depends II0.00770.07870.10550.99980.95080.927813.9927.372003-11-30 20:14:13Saharon Rosset & Ji Zhu
91Depends V0.00870.07680.10560.99980.95080.928113.9927.372003-11-30 20:16:49Saharon Rosset & Ji Zhu
92New-Bayes-nn-red0.00750.11420.10580.99750.93940.94002.466.582004-08-04 21:25:38Radford Neal
93cbamethod3-A0.04500.09400.10630.94890.92540.907540.6516.002003-12-01 23:40:15CBAGroup
94svc10.00150.00160.10660.99790.99800.8816100.0055.252007-10-29 00:02:01Vladimir Nikulin
95BayesNN-D0.01780.11900.10700.99240.93130.94331.081.652003-12-01 15:34:33Radford Neal
96Clovis II0.06210.06100.10700.93800.93900.89306.2631.322004-06-09 09:16:10P. Gouzien - F. Clérot
97BayesNN-C10.02440.11280.10750.98270.93740.93624.2615.792003-11-30 03:05:26Radford Neal
98P-SVM / nu-SVM (few features 2)0.02090.02040.10800.99440.99580.94312.0335.652003-12-07 17:33:08Sepp Hochreiter
99svc0.00160.00100.10830.39420.39870.4282100.0055.252007-10-28 22:54:48Vladimir Nikulin
100BayesNN-C0.02400.11280.10900.98270.93770.93404.2615.792003-11-30 19:01:37Radford Neal
101KPLS0.04750.10680.10910.95810.89110.89467.1725.742003-11-29 20:21:10Mark J. Embrechts
102Depends III0.01180.08120.11040.99980.94990.927313.9927.372003-11-30 20:15:00Saharon Rosset & Ji Zhu
103BayesNN-C20.02440.12880.11210.98270.93240.93094.2615.792003-11-30 03:07:30Radford Neal
104P-SVM (present calls 2) / nu-SVM0.01990.10380.11280.99440.94880.93664.6334.742003-12-01 22:55:18Sepp Hochreiter
105MyFinal0.01520.03530.11430.98480.96470.88577.7710.962003-12-08 06:44:42Amir Reza Saffari
106Liknon features, selected in folds, aggregated0.05490.09910.11520.87710.83730.82992.5313.792008-06-16 09:42:17Erinija
107Liknon features->other rules0.05060.10720.11520.97630.92270.91790.921.902008-02-29 22:34:22Erinija
108FS + SVM0.00000.11770.11571.00000.88230.884316.9121.452003-11-30 00:43:05Navin Lal
109LFFS-MODEL-25-1-CombMax-relief-rf10000.00000.00020.11761.00000.99980.962910.0037.262010-01-18 00:02:04Hugo Jair Escalante
110P-SVM (present calls) / nu-SVM0.01820.10790.11820.99510.94170.93413.8334.602003-11-30 15:27:19Sepp Hochreiter
111Liknon features->other rules ( C selection basd on0.05580.11900.12120.97550.91690.91260.872.262008-03-02 19:17:25Erinija
112P-SVM (present calls) / nu-SVM0.00890.14260.12140.99870.92030.93467.3845.652003-11-23 20:00:11Sepp Hochreiter
113ESNB+NN0.06930.10200.12420.96240.94850.93121.041.432003-12-08 11:03:26Marc Boulle
114IDEAL0.00620.13980.12430.99800.91790.924823.0036.922003-11-10 15:39:19BorisovEruhimovTuv
115Liknon features->other rules0.06770.12010.12440.96950.91730.91180.772.372008-02-27 19:31:19Erinija
116GhostMiner PACK C0.02030.14110.12480.97970.85890.8752100.0055.252003-11-30 19:55:44GhostMiner Team (Krzysztof Grąbczewski & Norb
117SVCR-m0.01650.13830.12490.98350.86170.8751100.0055.252003-10-25 07:42:52Amir Reza Saffari
118bagged nets0.06060.05650.12800.95190.95320.9115100.0055.252007-12-07 07:26:21Subm1
119P-SVM / nu-SVM0.00530.13570.13170.99920.92320.92604.8248.732003-11-04 15:17:08Sepp Hochreiter
120GhostMiner PACK M0.01660.14440.13800.98340.85560.8620100.0055.252003-11-30 20:13:26GhostMiner Team (Norbert Jankowski & Krzysztof Gr&
121bagged nets0.07250.05740.13800.94070.95800.8844100.0055.252007-12-07 08:50:45Subm1
122ROBELON validation entry0.03660.13320.13980.97650.92960.92281.0911.222004-03-29 18:43:59Vincent Lemaire
123CBAMethod1-A0.06720.12310.14050.93190.86320.84492.050.202003-11-07 18:26:47CBAGroup
124CR-M0.01300.13620.14140.98700.86380.8586100.0055.252003-10-26 05:44:16Amir Reza Saffari
125ROBELON Validation0.03660.13320.14250.97650.92960.92091.0911.222004-03-29 18:32:00Vincent Lemaire
126ROBELON validation final0.02530.11290.14250.97860.93690.92091.0911.222004-03-29 18:39:08Vincent Lemaire
127QAP->heterogeneous ensemble0.07390.12420.14370.96710.92410.91651.769.962008-05-29 22:08:30Erinija
128New-Bayes-lr-sel+v0.07960.09580.14460.93550.92590.89407.4617.602004-08-04 21:28:25Radford Neal
129inf50.00180.15960.14580.99820.84040.85425.0019.312003-11-03 19:06:19Amir Reza Saffari
130P-SVM (few features) / nu-SVM0.04620.16420.14850.97220.88830.89253.7420.382003-11-04 15:51:17Sepp Hochreiter
131LFFS-MODEL-25-1-CombMNZ-rf-units=10000.01390.00830.14880.99860.99790.93541.0026.642010-01-15 20:25:48Test-naive-all
132SVCR-n-m0.01020.15560.14990.98980.84440.85012.004.912003-11-06 14:42:55Amir Reza Saffari
133FS+normalize+SVC0.08860.15890.15030.92620.88960.884437.4047.762008-10-15 10:31:04Ayse Kucukyilmaz
134SNB(ILFIA)0.09450.08450.15250.93420.94220.89997.190.292006-01-17 09:09:34Marc Boulle
135New-Bayes-lr-sel0.07970.16800.15360.93650.89230.88257.4617.602004-08-04 21:27:47Radford Neal
136New-Bayes-lr-pc+v0.12610.13560.15370.91880.91340.887270.7160.152004-08-04 21:30:01Radford Neal
137test0.06720.12310.15380.93190.86320.83482.050.202004-01-07 20:41:39CBAGroup
138New-Bayes-lrg-pc+v0.12320.12970.15600.91950.91400.885370.7160.152004-08-04 21:31:39Radford Neal
139inf20.02480.17680.15750.97520.82320.84252.008.612003-11-03 04:44:55Amir Reza Saffari
140LFFS-MODEL-25-1-CombMax-svcrfe-rf-rf10000.03980.03600.15770.99991.00000.95979.9640.392010-01-17 23:59:38Hugo Jair Escalante
141CBAMethod1-B0.05300.11280.16020.93600.90140.879640.6516.002003-11-12 01:38:01CBAGroup
142New-Bayes-lr-pc0.11820.16190.16160.92210.88780.882470.7160.152004-08-04 21:29:18Radford Neal
143ROBELON0.03890.14940.16370.96110.85060.83631.1121.472003-11-19 12:46:46Vincent Lemaire
144ROBELON0.03890.14940.16370.96110.85060.83631.1121.472003-12-05 15:23:24Vincent Lemaire
145Liknon features, selected in folds, common subset0.09450.17020.16650.84640.79210.78280.621.192008-06-16 11:12:52Erinija
146New-Bayes-lrg-pc0.11270.15840.16820.92380.88750.877370.7160.152004-08-04 21:30:58Radford Neal
147bagged nets0.11990.11470.17550.95890.95190.9192100.0055.252007-12-07 07:17:06Subm1
148method0.00900.19340.18140.99650.86050.860410.7033.462009-06-14 14:12:19Rita
149method0.00900.19340.18140.99650.86050.860410.7033.462009-06-14 15:02:33Rita
150abc0.00900.19340.18140.99650.86050.860410.7033.462009-06-14 17:56:35Zzuwen
151baseline0.00900.19340.18140.99650.86050.860410.7033.462009-06-14 19:45:57Rita
152ESNB0.09620.09440.18250.93760.94440.88631.041.432003-12-05 12:57:57Marc Boulle
153Normalize+s2n+svc , relief+neural network0.14610.14920.18360.89010.89670.863427.1441.602008-11-19 19:07:58Gulay ERGUL
154mixed0.11660.16170.18400.88340.83830.81604.3431.512003-12-01 09:25:14Sklee
155Liknon0.12250.19350.18450.90690.86070.85850.921.902008-02-29 22:30:48Erinija
156relk16002svmq010.07370.20540.18470.93480.86830.870816.5541.992003-11-25 12:15:15Gideon
157Liknon features->Liknon discriminant ( C selection0.10960.20300.18580.90870.85250.85480.872.262008-03-02 19:13:49Erinija
158Liknon0.10730.19860.19070.90710.85050.84840.772.372008-02-27 19:21:51Erinija
159IFBS-DT0.05340.21030.19130.96920.80510.82820.6412.122010-01-20 06:47:25Michael Siebers
160SimpleNNa10.00180.18550.19420.99820.81450.8058100.0055.252003-10-19 12:52:31Amir Reza Saffari
161Enhanced Selective Naive Bayes0.08650.21510.19850.93790.84820.85961.0210.602003-11-25 13:52:48Marc Boulle
162ntmce0.09650.10430.19850.90350.89570.80150.5014.812003-12-05 20:08:24D. C. Martins Jr
163Final0.14770.20130.20100.85230.79870.7990100.0055.252003-12-01 23:53:05Fan Li
164IB-S-SVM0.14030.20780.20620.85970.79220.79384.2522.872003-11-29 12:36:20Hohoho Azumma
165multi230.14030.20780.20620.85970.79220.79384.2522.872003-11-30 13:07:06Sklee
166gentleboost_20.00000.20410.20741.00000.87300.864517.9158.062003-12-01 23:30:24Ian Fasel
167gentleboost_30.00000.20610.20751.00000.86620.861114.4156.672003-12-01 23:31:55Ian Fasel
168chi1_kmeans_rp0.09380.20310.20870.95130.85230.82530.6214.292006-04-17 08:56:07Hui Liu
169C450.09330.20030.20990.90670.79970.7901100.0055.252009-06-14 18:00:26Robin
170C450.09330.20030.20990.90670.79970.790126.7454.872009-06-22 19:52:07Robin
171gentleboost_10.00000.19840.21031.00000.87070.862751.8355.782003-12-01 23:16:12Ian Fasel
172gentleboost_10.00000.19840.21031.00000.87070.862720.7159.532003-12-01 23:28:18Ian Fasel
173gentleboost_40.03530.21690.21130.98770.85050.85174.5848.252003-12-01 23:33:25Ian Fasel
174svm linear c=0.060.07550.19820.21190.93430.89340.8899100.0055.252003-09-21 09:40:21Ran Bachrach
175svm linear c=0.120.07110.19750.21210.93900.89320.8899100.0055.252003-09-21 09:41:00Ran Bachrach
176IB_S_BBOOST0.13210.20720.21300.86790.79280.78704.2522.872003-11-29 12:37:24Hohoho Azumma
177multi220.13210.20720.21300.86790.79280.78704.2522.872003-11-30 13:06:31Sklee
178IB_MIX_BBOOST0.10910.20920.22090.89090.79080.77915.3828.962003-11-29 13:38:43Hohoho Azumma
179multi320.10910.20920.22090.89090.79080.77915.3828.962003-11-30 13:14:27Sklee
180svm linear c=0.030.07760.20420.22090.93110.89220.8896100.0055.252003-09-21 09:39:19Ran Bachrach
181IB_MIX_NB0.18420.20130.22250.81580.79870.77755.3828.962003-11-29 13:39:20Hohoho Azumma
182multi310.18420.20130.22250.81580.79870.77755.3828.962003-11-30 13:13:57Sklee
183IB_MIX_SVM0.09230.21010.22260.90770.78990.77745.3828.962003-11-29 13:35:49Hohoho Azumma
184multi330.09230.21010.22260.90770.78990.77745.3828.962003-11-30 13:14:55Sklee
185chi1_kmeans_r0.04670.24110.22320.97010.82280.81220.7335.902006-04-17 08:55:20Hui Liu
186Chi2KmeansRedundant0.04140.24400.22380.97330.81750.81392.1542.852006-04-15 08:26:59Hui Liu
187C450.08680.21830.22510.91320.78170.774926.7455.042009-06-15 05:52:16Robin
188C450.08680.21830.22510.91320.78170.774926.7455.042009-06-22 19:56:04Robin
189chi2_max0.13860.21090.22540.91900.83870.81051.0225.882006-05-03 09:09:12Hui Liu
190IB_US_NB0.18510.21160.22540.81490.78840.77462.4328.192003-11-29 13:29:04Hohoho Azumma
191MI_SVM0.11630.22880.22810.93220.87620.870439.0046.252009-08-15 17:13:36Seyyed Ehsan Mahmoudi
192svm_lin+ feature selection0.08700.23310.22930.93200.80740.82101.9863.192003-11-25 09:25:56Gideon
193cpl0.04520.21890.23170.95480.78110.768321.0464.062008-09-09 18:34:31Tomluk
194cpl_g_gen5p0.08460.08410.23330.91540.91590.766720.1744.672008-10-29 09:26:52Tomluk
195ntmce0.09770.24460.23350.90230.75540.76650.4535.332003-11-10 17:05:18D. C. Martins Jr
196Post Challenge Test CBA0.07830.10370.23550.95500.92880.8123100.0055.252004-09-24 22:38:45CBAGroup
197Post Challenge Test2 CBA0.07830.10370.23550.95500.92880.8123100.0055.252004-09-25 20:36:02CBAGroup
198cpl_g_gen10p0.13010.11560.23560.86990.88440.764420.1231.082008-10-31 21:56:36Tomluk
199IB_US_SVM0.09910.22440.23580.90090.77560.76422.4328.192003-11-29 13:35:09Hohoho Azumma
200IB_US_SVM0.09910.22440.23580.90090.77560.76422.4328.192003-11-29 13:36:08Hohoho Azumma
201IB_US_SVM20.09910.22440.23580.90090.77560.76422.4328.192003-11-29 13:37:57Hohoho Azumma
202gdsvm20.00000.23070.23801.00000.90640.891285.0358.772003-09-16 07:53:02Reference
203SimpleNN0.00960.26060.24410.99040.73940.7559100.0055.252003-10-18 14:52:21Amir Reza Saffari
204IB_US_BBOOST0.12830.23900.24420.87170.76100.75582.4328.192003-11-29 13:49:22Hohoho Azumma
205IB_S_NBAYES0.21180.23030.24760.78820.76970.75244.2522.872003-11-29 12:36:53Hohoho Azumma
206Sparse Bayes Logistic0.07840.25180.24880.92590.76050.768023.8147.282003-12-01 23:46:31DIMACS
207chi1_kmeans_p0.17630.24090.25050.88820.81670.79630.126.672006-04-17 08:57:55Hui Liu
208chi2Potential-dis_p0.04190.26500.25540.96650.78140.78810.8027.762006-04-18 14:52:39Hui Liu
209chi2Potential-dis_p0.04190.26500.25540.96650.78140.78810.8027.762006-04-18 14:54:37Hui Liu
210BI_MIX_NBAYES_20.14310.23510.25950.85690.76490.74056.3345.082003-11-30 12:35:23Hohoho Azumma
211IB_MIX_NBAYES_20.14310.23510.25950.85690.76490.74056.3345.082003-11-30 12:35:49Hohoho Azumma
212chi2Potential0.03940.26230.26060.97150.78350.78300.7725.392006-04-18 09:54:24Hui Liu
213SVCR-20.22740.26260.26470.77260.73740.73532.004.912003-10-23 11:37:21Amir Reza Saffari
214cpl_g0.05330.05030.26720.94670.94970.732821.0264.152008-09-22 09:57:48Tomluk
215chi21-DCgdi-prune0.20020.24650.27310.84850.80740.75920.078.572006-04-12 23:05:36Hui Liu
216chi2potential1_noprune0.07940.28350.27400.94230.73610.74430.8223.772006-04-16 12:18:15Hui Liu
217PSO_IRLS0.16610.24920.27510.83390.75080.72494.7252.602009-09-26 13:35:50ALPER UNLER
218parzenc0.20700.25910.27530.79300.74090.7247100.0055.252008-11-19 13:56:13Nurcan Tuncbag
219adaboost_stump1_6000.25850.27670.27970.74150.73650.732180.6052.132003-11-30 12:16:42Ian Fasel
220Corr+SVM+knn0.23220.28370.28420.76780.71630.71580.7110.672009-05-10 14:56:18Kalia Orfanou
221chi2Potential-dis_prune0.18260.26660.28480.90740.83790.80230.5410.002006-04-18 14:57:57Hui Liu
222chi2FeatTest0.18260.26660.28480.90740.83790.80231.8333.592006-04-18 14:59:34Hui Liu
223Lambda1000.25530.27570.28660.81020.77240.77794.7220.802003-09-09 15:43:54Reference
224IB_US_SVM_ND0.11180.28680.28720.88820.71320.71282.4367.402003-11-30 12:38:30Hohoho Azumma
225chi2Test0.18700.26510.28770.89960.84190.79761.9828.182006-04-18 09:24:59Hui Liu
226chi2Potential_p0.18700.26510.28770.89960.84190.79760.419.522006-04-18 09:48:33Hui Liu
227chi2final_prune0.21340.25090.29360.88200.83590.78140.500.002006-04-19 07:32:06Hui Liu
228chi2finaltest0.21340.25090.29360.88200.83590.78140.9328.982006-04-19 07:33:29Hui Liu
229chi2_max_final0.20170.25530.29420.89510.84020.78460.746.602006-05-03 09:48:31Hui Liu
230lambda0.29980.29400.30240.77470.75350.75290.4710.002008-10-15 20:05:48Nurcan Tuncbag
231lambda0.29980.29400.30240.77470.75350.75290.4710.002009-06-02 09:07:12LiLi
232Lambda100.29980.29400.30240.77470.75350.75290.4710.002003-09-09 15:41:54Reference
233Chi2_1_test0.29980.29400.30240.77470.75350.7529100.0055.252006-04-14 02:30:04Hui Liu
234Chi2_1_test0.29980.29400.30240.77470.75350.75299.5764.102006-04-14 02:50:47Hui Liu
235Chi2_test_1_SR0.29980.29400.30240.77470.75350.752927.8135.852006-04-14 04:20:43Hui Liu
236Chi2_1_Kmeans0.29980.29400.30240.77470.75350.75297.2434.862006-04-14 07:49:10Hui Liu
237Chi2_1_Kmeans0.29980.29400.30240.77470.75350.75290.3544.602006-04-15 06:04:01Hui Liu
238Chi2Kmeans0.29980.29400.30240.77470.75350.75290.2434.592006-04-15 07:11:32Hui Liu
239chi2fs_test0.18560.27830.30240.89940.81590.78001.3441.222006-04-28 14:05:03Hui Liu
240chi21-DCgdi0.05040.28660.30390.95260.76220.73441.6053.472006-04-12 22:05:55Hui Liu
241chi21-DCgdi0.05040.28660.30400.94960.71340.69601.6053.472006-04-12 21:35:41Hui Liu
242chi1_kmeans0.08390.31400.30530.94190.73520.72920.1830.082006-04-17 08:56:57Hui Liu
243SVM-KNN0.26050.29570.30750.78250.75030.73030.476.002009-05-06 09:32:15Kalia Orfanou
2440.19530.26060.30860.83030.81750.78490.000.002009-04-12 19:23:26
245nofeatsel0.00380.30870.31320.99980.77440.76494.000.002008-11-27 15:02:39Aysegul Ozturk
246IB_US_BBOOST_20.12910.29270.31470.87090.70730.68532.4367.402003-11-30 12:55:19Hohoho Azumma
247IB_US_NBAYES_20.16920.30450.31930.83080.69550.68072.4367.402003-11-30 12:07:08Hohoho Azumma
248SVM_sig0.15940.15660.32510.84060.84340.674917.2756.362006-06-17 03:53:58W.J.K.
249Linear SVM +Pearson Correlation0.30520.34870.33490.70720.65890.67340.6932.672009-05-15 13:27:00Kalia Orfanou
2500.22380.30500.33990.88350.87800.8233100.0055.252009-04-12 20:59:08
2510.22380.30500.33990.88350.87800.82330.000.002009-04-12 22:46:43
252test-naive-all0.22510.22110.34160.88350.89660.8237100.0055.252009-09-23 19:24:37Test-naive-all
253correlation+SVM (3rd approach)0.27660.35840.36340.72340.64160.63660.9332.002009-05-10 10:03:35Kalia Orfanou
254chi2potential2_noprune0.16210.35330.36780.85690.68530.65620.5634.522006-04-16 12:45:04Hui Liu
255correlation+SVM0.36330.40220.41020.63670.59780.58980.9154.002009-05-09 22:13:10Kalia Orfanou
256perceptron0.47170.48810.45020.52830.51190.549880.0045.252005-11-24 12:02:47M
257greedy approximation0.44450.48660.45410.56890.53330.556028.4155.872008-08-04 11:53:33Andrey Gulin
258test0.52070.53360.49520.48030.47380.501228.4155.872007-09-11 12:09:17David Askey
259Test Post Challenge Submission0.52070.53360.49520.48030.47380.501228.4155.872004-02-12 11:13:55Steve Gunn
260All Class 10.50000.50000.50000.50000.50000.50000.000.002003-09-10 00:49:13Reference
261All Class -10.50000.50000.50000.50000.50000.50000.000.002003-09-22 17:06:29Reference