PASCAL Agnostic Learning
vs.
Prior Knowledge
IJCNN07

The challenge is now over. But it remains open for post-challenge submissions!


IMPORTANT: Entries made since February 1st 2007 might be using validation data, now available for training.


Rank Method Balanced Error Area Under Curve Date Name
Train Valid Test Train Valid Test
1 Doubleboost 0.0019 0.0037 0.0043 0.998 0.9978 0.9957 2007-02-20 14:30:27 Roman Lutz
2 sylva test #5 0.0024 0.0041 0.0059 0.9999 0.9992 0.999 2007-01-31 18:26:54 reference (gcc)
3 interim all prior 0.0024 0.0041 0.0059 0.9999 0.9992 0.999 2007-01-31 21:54:23 reference (gcc)
4 SC-1 0.0039 0.0115 0.006 0.9998 0.9992 0.9989 2006-12-14 14:55:43 The Machine
5 sylva final #4 0.003 0.0029 0.006 0.9999 0.9999 0.999 2007-02-08 19:52:33 reference (gcc)
6 SYLVA#1 0.0045 0.0041 0.0061 0.9993 0.9993 0.999 2007-01-15 10:19:22 reference
7 sylva #1 0.0045 0.0041 0.0061 0.9993 0.9993 0.999 2007-01-19 14:22:37 reference (gcc)
8 LogitBoost with trees 0.0036 0.0049 0.0062 0.9965 0.9942 0.9938 2007-02-20 13:47:47 Roman Lutz
9 ensemble of trees 0.0039 0.0115 0.0062 0.9998 0.9991 0.9988 2007-01-03 17:54:09 Joerg Wichard
10 TMK II 0.0039 0.0115 0.0062 0.9998 0.9991 0.9988 2007-01-07 15:52:05 The Machine
11 lssvm_lnx2 0.0028 0.0029 0.0062 0.9979 0.9964 0.9938 2008-10-04 00:53:47 H. Jair Escalante
12 psmsx_jmlr_run 0.0028 0.0029 0.0062 0.9979 0.9964 0.9938 2008-10-18 01:20:04 H. Jair Escalante
13 psmsx_jmlr_run_l 0.0028 0.0029 0.0062 0.9979 0.9964 0.9938 2008-10-18 01:29:25 H. Jair Escalante
14 Gradient boosted trees + cv 0.005 0.0065 0.0065 0.9981 0.9968   2007-02-28 21:45:18 IDEAL, Intel
15 sylva final #7 0.0013 0.0024 0.0065 1 1 0.9983 2007-02-09 16:51:23 reference (gcc)
16 SNB(CMA) + 100k F(2D) t 0.0032 0.0107 0.0065 0.9995 0.9993 0.9992 2006-11-21 09:20:19 Marc B oulle
17 RF-CLOP 0.0045 0.0057 0.0065 0.9997 0.9995 0.9991 2008-05-09 21:52:43 H. Jair Escalante
18 SNB(CMA) +10K F(2D) t 0.0036 0.0098 0.0066 0.9995 0.9994 0.9992 2006-11-21 09:16:52 Marc B oulle
19 cross-indexing-prior-1 0.0033 0.0033 0.0066 0.9998 0.9995 0.9989 2007-01-25 16:50:26 Juha Reunanen
20 cross-indexing-prior-1a 0.0026 0.0029 0.0067 0.9998 0.9999 0.9989 2007-02-14 20:25:07 Juha Reunanen
21 little red booster 0.0037 0.0107 0.0069 0.9998 0.999 0.9988 2006-11-10 14:08:59 The Machine
22 TMK 0.004 0.0107 0.0069 0.9997 0.9992 0.9988 2007-01-10 14:40:42 The Machine
23 mixed tree ensembles 0.0036 0.0111 0.007 0.9997 0.999 0.9986 2006-10-27 13:42:57 Joerg Wichard
24 mixed CART models 0.0045 0.0111 0.007 0.9996 0.9989 0.9988 2006-11-11 15:46:37 Joerg Wichard
25 sylva interim #6 0.0009 0.0029 0.007 1 0.999 0.9986 2007-02-01 20:23:14 reference (gcc)
26 mixed ensembles #2 0.0037 0.0107 0.007 0.9998 0.9989 0.9988 2006-12-04 15:19:45 Joerg Wichard
27 SIU-PCA 0.0038 0.0119 0.007 0.9996 0.9987 0.9987 2006-11-06 11:27:55 The Machine
28 vn3 0.0006 0.0004 0.0071 1 1 0.9959 2007-07-27 04:56:02 Vladimir Nikulin
29 B2 0.0042 0.0111 0.0072 0.9997 0.9992 0.9988 2006-11-22 13:10:14 The Machine
30 TMK 0.0037 0.0111 0.0072 0.9997 0.9991 0.9988 2006-11-13 14:17:08 The Machine
31 SNB(CMA) +10k F(3D) t 0.0029 0.0098 0.0072 0.9995 0.9994 0.9992 2006-11-21 09:18:39 Marc B oulle
32 mixed ensembles 0.0047 0.0111 0.0072 0.9996 0.9989 0.9987 2006-11-08 09:27:22 Joerg Wichard
33 OTMK 0.0038 0.0115 0.0074 0.9996 0.9993 0.9987 2006-11-02 15:54:22 The Machine
34 mixed ensembles #3 0.0044 0.0107 0.0074 0.9997 0.9992 0.9989 2006-12-04 15:21:19 Joerg Wichard
35 TMK 0.0041 0.0111 0.0074 0.9997 0.9993 0.9989 2006-11-14 13:19:29 The Machine
36 logistic regression 0.2264 0.0123 0.0074 0.7816 0.9866 0.9938 2006-11-16 11:08:17 pb
37 cross-indexing-prior-3 0.0036 0.0029 0.0075 0.9994 0.9994 0.9989 2007-06-10 01:14:52 Juha Reunanen
38 tst1 0.0047 0.0033 0.0075 0.9956 0.9993 0.9918 2007-07-27 04:46:17 Vladimir Nikulin
39 TMK 0.0041 0.0111 0.0075 0.9998 0.9992 0.9989 2006-12-08 14:15:28 The Machine
40 TMK 0.0041 0.0111 0.0075 0.9998 0.9992 0.9989 2006-12-08 19:08:17 The Machine
41 press ard l2lssvm 0.0011 0.0102 0.0076 1 0.9995 0.9986 2006-10-30 09:16:43 reference
42 tst9 0.0013 0.0012 0.0076 1 1 0.994 2007-07-30 22:00:25 Vladimir Nikulin
43 psmsxjmlrrun2 0.0039 0.0045 0.0076 0.9962 0.9952 0.9924 2008-08-05 16:31:40 H. Jair Escalante
44 SNB(CMA) t 0.0041 0.0102 0.0077 0.9993 0.9994 0.9991 2006-11-21 09:14:14 Marc B oulle
45 cubic lssvm 0.0021 0.0045 0.0077 0.9999 0.9991 0.9988 2006-10-11 20:15:41 reference
46 quadratic lssvm 0.0023 0.0045 0.0078 0.9999 0.999 0.9988 2006-10-11 19:52:03 reference
47 the bad 0.0023 0.0045 0.0078 0.9999 0.999 0.9988 2006-11-11 19:08:00 reference
48 vn1 0.0065 0.0037 0.0078 0.9943 0.9993 0.9929 2007-07-27 04:50:52 Vladimir Nikulin
49 LogitBoost with trees 0.0016 0.0123 0.0078 0.9998 0.999 0.999 2006-10-09 13:42:41 Roman Lutz
50 LogitBoost with trees 0.0016 0.0123 0.0078 0.9998 0.999 0.999 2006-10-10 18:05:48 Roman Lutz
51 serate quadratic lssvm 0.002 0.0053 0.0078 0.9999 0.999 0.9988 2006-10-20 10:44:13 reference
52 the good 0.002 0.0053 0.0078 0.9999 0.999 0.9988 2006-11-12 15:59:31 reference
53 cross-indexing-prior-2 0.0036 0.0029 0.0079 0.9996 0.9996 0.999 2007-02-25 21:42:16 Juha Reunanen
54 GBT + PF 0 0 0.0079 1 1 0.9921 2007-07-28 17:34:02 Vladimir Martyanov
55 serate cubic lssvm 0.0022 0.0049 0.0081 0.9999 0.9991 0.9988 2006-10-20 13:12:37 reference
56 boost tree 0.0028 0.0041 0.0081 0.9992 0.9981 0.9996 2007-02-25 23:34:26 JJS
57 rbf lssvm 0.002 0.0049 0.0081 1 0.9991 0.9988 2006-10-13 09:17:18 reference
58 the ugly 0.002 0.0049 0.0081 1 0.9991 0.9988 2006-11-12 15:35:54 reference
59 single model 0.002 0.0049 0.0081 1 0.9991 0.9988 2007-11-03 11:58:17 reference (gcc)
60 tst6 0.0014 0.0024 0.0082 1 1 0.9939 2007-07-30 22:57:47 Vladimir Nikulin
61 SYLVA-RS-5CV 0.0057 0.0049 0.0082 0.9993 0.9995 0.999 2007-09-07 23:21:40 H. Jair Escalante
62 SYLVA-PSMS-5CV 0.0068 0.0045 0.0083 0.9993 0.9995 0.9989 2007-09-08 00:19:28 H. Jair Escalante
63 ensemble 0.0021 0.0045 0.0084 0.9999 0.9992 0.9988 2007-11-03 12:01:42 reference (gcc)
64 PSMS_100_4all_NCV 0.0056 0.0045 0.0084 0.9993 0.9995 0.9989 2007-04-28 00:21:57 H. Jair Escalante
65 serate rbf lssvm 0.0022 0.0049 0.0084 0.9999 0.9991 0.9988 2006-10-20 13:19:45 reference
66 RS+trees 0.0067 0.0094 0.0084 0.9983 0.9867 0.9924 2006-11-10 00:45:18 Vladimir Nikulin
67 vn2 0.0024 0.0029 0.0084 0.9999 0.9999 0.9917 2007-07-27 04:53:48 Vladimir Nikulin
68 PSMS_100_4all_10CV 0.0063 0.0049 0.0086 0.9993 0.9996 0.9989 2007-04-28 00:25:32 H. Jair Escalante
69 EI 0.0066 0.0049 0.0087 0.9962 0.9983 0.9966 2006-11-27 23:53:09 Vladimir Nikulin
70 EI+NB 0.0066 0.0049 0.0087 0.9962 0.9983 0.9966 2006-11-30 00:15:56 Vladimir Nikulin
71 RS+GbO+trees 0.0074 0.0115 0.0088 0.9924 0.9864 0.992 2006-10-21 01:26:18 Vladimir Nikulin
72 RS1 0.0077 0.0053 0.0091 0.9925 0.9983 0.9927 2006-10-09 03:24:07 Vladimir Nikulin
73 tst5 0.0004 0 0.0092 1 1 0.99 2007-07-30 22:56:26 Vladimir Nikulin
74 RS+trees 0.0061 0.0102 0.0093 0.9976 0.9867 0.9909 2006-11-10 00:50:30 Vladimir Nikulin
75 rfe 8k agn 0.0013 0.0037 0.0093 0.9987 0.9957 0.9907 2008-06-02 20:35:33 Chen
76 Submit C final 0.0071 0.0053 0.0094 0.9931 0.9938 0.9906 2007-07-30 17:57:48 mehreen
77 rfe 0.0092 0.0033 0.0096 0.9893 0.9959 0.9904 2007-12-11 13:43:09 Chen
78 SVM+GbO+trees 0.0066 0.0049 0.0096 0.9962 0.9983 0.9916 2006-11-15 00:31:02 Vladimir Nikulin
79 Submit A final 0.0069 0.0061 0.0096 0.9935 0.9931 0.9904 2007-07-30 17:54:59 mehreen
80 sylva test #4 0 0.0148 0.0096 1 0.9876 0.9989 2007-01-31 16:38:49 reference (gcc)
81 vn4 0.0002 0.0004 0.0096 1 1 0.9933 2007-07-27 04:58:42 Vladimir Nikulin
82 mlp+commitee+mcic 0.0071 0.0053 0.0098 0.9994 0.9994 0.9987 2007-08-02 09:25:04 Namgil Lee
83 Data Grid (MAP) 0.0078 0.0033 0.0099 0.9985 0.9984 0.9975 2007-02-27 17:36:27 Marc B oulle
84 tst8 0 0 0.01 1 1 0.9853 2007-07-30 22:59:04 Vladimir Nikulin
85 tst2 0.0017 0.0029 0.0101 1 1 0.9876 2007-07-27 04:44:14 Vladimir Nikulin
86 Submit D final 0.0078 0.0065 0.0104 0.9923 0.9929 0.9896 2007-07-30 17:58:22 mehreen
87 psmsx_om_mach_2fcv_rf_555515_50_5_ 0.0047 0.0073 0.0104 0.9954 0.9916 0.9896 2008-07-30 16:38:26 H. Jair Escalante
88 psmsxjmlrrun1 0.0047 0.0073 0.0104 0.9954 0.9916 0.9896 2008-07-30 17:04:55 H. Jair Escalante
89 ensemble of trees 0.0048 0.0176 0.0104 0.9991 0.9979 0.9979 2007-01-14 15:17:26 Joerg Wichard
90 tst4 0 0 0.0104 1 1 0.9864 2007-07-30 22:55:58 Vladimir Nikulin
91 lastent 0.0052 0.0033 0.0105 0.9942 0.9962 0.9895 2008-08-13 19:37:44 H. Jair Escalante
92 LDPP balanced 0.0013 0.0029 0.0107 0.9989 0.9973 0.9961 2008-05-08 18:20:24 Mauricio Villegas
93 PF+GBT 0.0039 0.0172 0.0108 0.996 0.9826 0.9892 2007-07-27 11:41:56 Vladimir Martyanov
94 GBT + PF 0.0039 0.0172 0.0108 0.996 0.9826 0.9892 2007-07-28 16:26:50 Vladimir Martyanov
95 Intel-GBT-PF-1 (Intel final 4) 0.0002 0.0004 0.0109 0.9999 0.9996 0.9891 2007-08-01 13:26:03 Vladimir Martyanov
96 intel-GBT-PF-3 (Intel final 4) 0.0002 0.0004 0.0109 0.9999 0.9996 0.9891 2007-08-01 13:28:22 Vladimir Martyanov
97 trees 0.0071 0.0115 0.0109 0.9994 0.9987 0.9981 2007-06-19 19:05:45 Joerg Wichard
98 cross-indexing-7a 0.0044 0.0037 0.0109 0.9995 0.9997 0.9987 2007-02-14 19:55:36 Juha Reunanen
99 cross-indexing-1 0.0048 0.0041 0.011 0.9947 0.9957 0.989 2006-11-19 18:39:26 Juha Reunanen
100 cross-indexing-2 0.0048 0.0041 0.011 0.9994 0.9992 0.9987 2006-11-25 13:45:53 Juha Reunanen
101 cross-indexing-3 0.0048 0.0041 0.011 0.9994 0.9992 0.9987 2006-11-25 16:01:05 Juha Reunanen
102 cross-indexing-4 0.0048 0.0041 0.011 0.9994 0.9992 0.9987 2006-11-25 16:43:01 Juha Reunanen
103 cross-indexing-5 0.0048 0.0041 0.011 0.9994 0.9992 0.9987 2006-11-25 17:44:46 Juha Reunanen
104 cross-indexing-6 0.0048 0.0041 0.011 0.9994 0.9992 0.9987 2006-11-28 19:37:31 Juha Reunanen
105 cross-indexing-7 0.0048 0.0041 0.011 0.9994 0.9992 0.9987 2006-12-01 19:54:46 Juha Reunanen
106 cross-indexing-8 0.004 0.0033 0.0111 0.9994 0.9996 0.9986 2007-02-27 19:28:17 Juha Reunanen
107 sylva_rbf_025 0.003 0.0045 0.0112 1 0.9992 0.9983 2009-01-03 21:21:07 ebozkurt
108 rbf_kernel_GentleBoost_025 0.003 0.0045 0.0112 1 0.9992 0.9983 2009-01-04 12:47:12 ebozkurt
109 poly_2_SVM_kernel_GentleBoost 0.0053 0.0057 0.0112 1 0.9992 0.9984 2009-01-03 00:20:22 ebozkurt
110 Neural Network3 0.0039 0.0193 0.0113 0.9962 0.9803 0.9887 2007-04-06 20:09:27 Louis Duclos-Gosselin
111 ffs 8k agn 0 0.0033 0.0113 1 0.9962 0.9887 2008-06-02 20:26:23 Chen
112 Neural Network1 0.0055 0.0197 0.0113 0.9948 0.9803 0.9887 2007-04-06 20:08:48 Louis Duclos-Gosselin
113 Neural Network2 0.0055 0.0197 0.0113 0.9948 0.9803 0.9887 2007-04-06 20:09:10 Louis Duclos-Gosselin
114 cross-indexing-agnostic-10 0.0022 0.0029 0.0114 0.9999 1 0.9987 2007-07-31 17:04:42 Juha Reunanen
115 vn5 0.0064 0.0041 0.0115 0.9943 0.9996 0.9858 2007-07-27 05:01:27 Vladimir Nikulin
116 Finale 0.0079 0.0107 0.0115 0.9991 0.999 0.9983 2006-11-16 06:37:07 H. Jair Escalante
117 poly_2_2_SVM_kernel_GentleBoost 0.0031 0.0102 0.0115 1 0.9991 0.9984 2009-01-04 20:50:27 ebozkurt
118 Final 0.0077 0.0119 0.0115 0.9994 0.9989 0.9981 2007-07-30 22:33:11 Joerg Wichard
119 GbO 0.0077 0.0111 0.0116 0.0082 0.0082 0.0095 2006-10-08 01:50:34 Vladimir Nikulin
120 xent cubic lssvm 0.009 0.0061 0.0117 0.9991 0.9989 0.9985 2006-10-21 10:22:30 reference
121 AdaBoost 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-10-29 00:27:23 H. Jair Escalante
122 AdaBoost_NN 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-10-29 01:07:59 H. Jair Escalante
123 AdaBoost_NN_II 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-10-29 02:08:30 H. Jair Escalante
124 Adabost_NN_10_CV 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-10-29 03:22:15 H. Jair Escalante
125 Boosting-10-300 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-10-30 01:32:37 H. Jair Escalante
126 Boosting-10-500 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-10-30 02:34:00 H. Jair Escalante
127 Boosting_ADA_10_001_x600_defaults_f_rest 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-10-31 07:50:04 H. Jair Escalante
128 Boosting_1_001_x900 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-10-31 12:09:55 H. Jair Escalante
129 Boosting10_001_900_CV 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-01 03:03:38 H. Jair Escalante
130 SVC_gauss_1 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-01 03:16:35 H. Jair Escalante
131 Hiva_kridge_s_05_10usNCV 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-01 03:27:32 H. Jair Escalante
132 Nova_1_02_300_NCV 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-01 03:42:24 H. Jair Escalante
133 Fullada 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-13 15:49:00 H. Jair Escalante
134 BoostingNN_10300 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-13 16:08:26 H. Jair Escalante
135 BoostingIII 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-13 16:13:13 H. Jair Escalante
136 Boosting_II_PC 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-13 16:17:44 H. Jair Escalante
137 Boosting_I31 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-13 16:28:28 H. Jair Escalante
138 Final_Boosting 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-13 22:38:31 H. Jair Escalante
139 Boosting1 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-15 01:11:25 H. Jair Escalante
140 Boosting2 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-15 01:18:23 H. Jair Escalante
141 Boosting2 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-15 14:59:09 H. Jair Escalante
142 Boosting3 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-15 18:28:22 H. Jair Escalante
143 Boosting4 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-15 20:38:34 H. Jair Escalante
144 Boosting3t_pw 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-21 01:52:48 H. Jair Escalante
145 PseudoBoost3 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 2006-11-21 03:48:40 H. Jair Escalante
146 PSMS_2011_NN_CV5iter_SYLVA 0.0041 0.0045 0.0117 0.9999 0.9989 0.9954 2006-11-21 01:39:57 H. Jair Escalante
147 ComposedRUN 0.0041 0.0045 0.0117 0.9999 0.9989 0.9954 2006-11-21 02:17:07 H. Jair Escalante
148 BoostingXYZ 0.0041 0.0045 0.0117 0.9999 0.9989 0.9954 2006-11-21 04:14:48 H. Jair Escalante
149 AdaboostComposed 0.0041 0.0045 0.0117 0.9999 0.9989 0.9954 2006-11-21 04:26:50 H. Jair Escalante
150 PSMS_5CV_2811__10fCV40iter_sylva_Impvd 0.007 0.0077 0.0118 0.9998 0.999 0.996 2006-11-28 19:18:33 H. Jair Escalante
151 sylvaneural1 0.0066 0.0045 0.0119 0.9924 0.9952 0.9881 2008-02-06 07:25:53 mehreen
152 xent rbf lssvm 0.009 0.0061 0.0119 0.9991 0.9989 0.9984 2006-10-21 10:25:02 reference
153 xent quadratic lssvm 0.0093 0.0061 0.0121 0.9991 0.9989 0.9984 2006-10-21 10:19:31 reference
154 PSMS_28_4iterNCV_Sylva 0.0038 0.0041 0.0121 0.9997 0.9991 0.9957 2006-11-29 04:11:44 H. Jair Escalante
155 PSMS_CV_28_NCV_4iter_Ada 0.0038 0.0041 0.0121 0.9997 0.9991 0.9957 2006-11-29 04:16:58 H. Jair Escalante
156 rfe 8k agn sylva 0 0.0037 0.0121 1 0.9994 0.9986 2008-06-04 11:23:39 Chen
157 PCBoosting 0.0079 0.0053 0.0121 0.9991 0.9991 0.9983 2006-11-13 15:40:40 H. Jair Escalante
158 mcic2 0.0034 0.0033 0.0121 0.9996 0.9978 0.9914 2007-08-02 09:26:11 Namgil Lee
159 PSMS_2011_NN_NCV5iter_SYLVA 0.0038 0.0045 0.0122 0.9997 0.9987 0.9957 2006-11-21 01:36:05 H. Jair Escalante
160 BRun231106 0.0038 0.0045 0.0122 0.9997 0.9987 0.9957 2006-11-23 17:04:16 H. Jair Escalante
161 BRun2311062 0.0038 0.0045 0.0122 0.9997 0.9987 0.9957 2006-11-23 17:42:00 H. Jair Escalante
162 Corrida_final 0.0038 0.0045 0.0122 0.9997 0.9987 0.9957 2007-02-27 17:38:51 H. Jair Escalante
163 Corrida_final_10CV 0.0038 0.0045 0.0122 0.9997 0.9987 0.9957 2007-02-27 18:24:23 H. Jair Escalante
164 ADA+trees (revised1) 0.008 0.0193 0.0123 0.992 0.98 0.9877 2009-01-08 12:40:43 Ozgun Genc
165 ADA+trees (revised2) 0.008 0.0193 0.0123 0.992 0.98 0.9877 2009-01-08 12:55:19 Ozgun Genc
166 ada3 0.008 0.0193 0.0123 0.992 0.98 0.9877 2009-01-08 13:18:18 Ozgun Genc
167 Boosting 0.0075 0.0057 0.0123 0.9991 0.999 0.9983 2006-11-13 15:32:57 H. Jair Escalante
168 ModelI 0.0079 0.0053 0.0123 0.9991 0.9991 0.9983 2006-11-13 15:35:46 H. Jair Escalante
169 Submit E final 0.0094 0.0057 0.0124 0.9895 0.9936 0.9876 2007-07-30 18:00:06 mehreen
170 psmsx_om_mach_2fcv_redf555515 0.0098 0.0037 0.0124 0.9886 0.9956 0.9876 2008-07-29 06:38:52 H. Jair Escalante
171 rbf_kernel_GentleBoost_1 0.0029 0.0037 0.0125 1 0.9994 0.9984 2009-01-04 15:00:05 ebozkurt
172 ffs 0.013 0.0024 0.0127 0.986 0.9969 0.9873 2007-12-11 11:22:21 Chen
173 TMK - TREES 0.0085 0.0185 0.0127 0.9993 0.997 0.998 2007-01-29 17:26:18 Joerg Wichard
174 Test mixed 0 0.0206 0.0129 1 0.9989 0.999 2006-10-08 21:40:47 reference
175 Mixed test D 0 0.0206 0.0129 1 0.9989 0.999 2007-02-28 22:02:24 Reference
176 PSMS_CV_281106_NCV_Sylva_Impvd 0.0037 0.0033 0.013 0.9998 0.9989 0.9964 2006-11-28 17:47:35 H. Jair Escalante
177 Brun28-II 0.0037 0.0033 0.013 0.9998 0.9989 0.9964 2006-11-28 17:52:43 H. Jair Escalante
178 Brun011206 0.0037 0.0033 0.013 0.9998 0.9989 0.9964 2006-12-01 23:52:50 H. Jair Escalante
179 lastrun 0.0037 0.0033 0.013 0.9998 0.9989 0.9964 2006-12-02 00:04:52 H. Jair Escalante
180 Submit B final 0.0083 0.0053 0.0131 0.992 0.9935 0.9869 2007-07-30 17:56:03 mehreen
181 mixed ensembles (balanced data) 0.0083 0.0185 0.0132 0.9992 0.9982 0.9982 2006-10-26 14:39:51 Joerg Wichard
182 TMK 0.0116 0.0123 0.0132 0.9972 0.995 0.9966 2006-11-14 16:56:00 The Machine
183 TMK B1 0.0084 0.0176 0.0135 0.9992 0.9973 0.998 2006-11-21 17:15:51 The Machine
184 out1-fs-nored-val (Intel final 1) 0.008 0.0069 0.0135 0.9919 0.9925 0.9865 2007-07-31 02:14:16 IDEAL, Intel
185 PSMS_CV_281106_NCV_Sylva3 0.0031 0.0037 0.0135 0.9998 0.999 0.9954 2006-11-28 17:29:29 H. Jair Escalante
186 Brun28 0.0031 0.0037 0.0135 0.9998 0.999 0.9954 2006-11-28 17:37:17 H. Jair Escalante
187 final_run_sylva_2 0.0031 0.0037 0.0135 0.9998 0.999 0.9954 2007-02-27 18:39:38 H. Jair Escalante
188 final_run_sylva_2_10CV 0.0031 0.0037 0.0135 0.9998 0.999 0.9954 2007-02-27 18:47:00 H. Jair Escalante
189 out5-valid-no-fs (Intel final 3) 0.0073 0.0065 0.0136 0.9933 0.9933 0.9864 2007-07-31 02:14:34 IDEAL, Intel
190 AB1 0.0073 0.0065 0.0136 0.9933 0.9933 0.9864 2007-07-31 08:56:55 IDEAL, Intel
191 Ensembles of Classifiers 0.0083 0.0189 0.0137 0.9993 0.9978 0.998 2006-10-25 17:20:16 Joerg Wichard
192 linear_SVM_kernel_GentleBoost 0.0089 0.0119 0.0137 0.9997 0.9985 0.9978 2009-01-02 13:44:09 ebozkurt
193 out3-fs-red-valid (Intel final 2) 0.0098 0.0073 0.0138 0.9902 0.9921 0.9862 2007-07-31 02:14:04 IDEAL, Intel
194 best subset + GBT 0.0098 0.0073 0.0138 0.9902 0.9921 0.9862 2007-08-16 16:19:40 IDEAL, Intel
195 IDEAL 0.0071 0.0197 0.0139 0.9932 0.9798 0.9861 2007-07-27 15:56:11 IDEAL, Intel
196 sylvaneural2 0.0125 0.0053 0.014 0.9857 0.994 0.986 2008-02-06 07:31:27 mehreen
197 mlp+mcic 0.0107 0.0094 0.0142 0.9998 0.9993 0.9944 2007-08-02 06:43:34 Namgil Lee
198 PSMS_Bayes_NCV_Sylva 0.0119 0.0237 0.0142 0.9947 0.9915 0.9939 2006-12-20 22:02:26 H. Jair Escalante
199 Psms_zarbi_NCV_Sylva 0.0119 0.0237 0.0142 0.9947 0.9915 0.9939 2006-12-27 17:17:58 H. Jair Escalante
200 Boosting_base 0.0069 0.0098 0.0143 0.9991 0.999 0.9983 2006-11-13 15:29:58 H. Jair Escalante
201 sylva test #3 0.014 0.0106 0.0144 0.9988 0.9985 0.9986 2007-01-30 20:33:14 reference (gcc)
202 vrs3 0.0121 0.0098 0.0144 0.9818 0.9864 0.9803 2007-02-27 23:17:26 Vladimir Nikulin
203 poly_5_SVM_kernel_GentleBoost 0.0048 0.0102 0.0145 1 0.9989 0.9982 2009-01-04 12:49:05 ebozkurt
204 xent linear lssvm 0.0114 0.0077 0.0147 0.9986 0.9984 0.9979 2006-10-21 10:16:56 reference
205 TMK 0.0127 0.0139 0.0147 0.9987 0.9986 0.9984 2006-11-14 17:05:52 The Machine
206 vrs5 0.013 0.0156 0.0147 0.9794 0.9742 0.9799 2007-02-27 23:24:22 Vladimir Nikulin
207 RS+GbO+trees 0.0074 0.0094 0.0148 0.9924 0.9865 0.9774 2006-10-20 00:55:19 Vladimir Nikulin
208 PSMS_Bayes_10f_CV_Sylva 0.0121 0.0237 0.0148 0.9947 0.9915 0.9939 2006-12-20 22:12:08 H. Jair Escalante
209 Psms_zarbi_10CV_Sylva 0.0121 0.0237 0.0148 0.9947 0.9915 0.9939 2006-12-27 17:29:53 H. Jair Escalante
210 PSMS_Bayes_5f_CV_Sylva 0.0121 0.0237 0.0149 0.9947 0.9915 0.9939 2006-12-20 22:06:30 H. Jair Escalante
211 Psms_zarbi_5CV_Sylva 0.0121 0.0237 0.0149 0.9947 0.9915 0.9939 2006-12-27 17:23:33 H. Jair Escalante
212 serate linear lssvm 0.0113 0.0123 0.015 0.9987 0.9982 0.9978 2006-10-16 11:24:55 reference
213 IDEAL 0.0051 0.018 0.015 0.9955 0.9819 0.985 2007-07-28 10:02:36 IDEAL, Intel
214 IDEAL 0.0045 0.0189 0.0151 0.9956 0.9807 0.9849 2007-07-26 14:39:00 IDEAL, Intel
215 IDEAL 0.0093 0.0197 0.0153 0.9907 0.9797 0.9847 2007-07-28 10:09:11 IDEAL, Intel
216 out1-fs-nored-no-valid 0.0093 0.0197 0.0153 0.9907 0.9797 0.9847 2007-07-31 02:14:24 IDEAL, Intel
217 ffs monoms 0.0107 0.0065 0.0154 0.9896 0.9929 0.9846 2007-12-27 09:10:31 Chen
218 Neural Network6 0.0082 0.016 0.0154 0.9924 0.9835 0.9846 2007-04-06 20:10:18 Louis Duclos-Gosselin
219 vrs1 0.0121 0.0098 0.0154 0.9818 0.9864 0.9768 2007-02-27 23:06:50 Vladimir Nikulin
220 Neural Network8 0.006 0.0094 0.0155 0.9923 0.9872 0.9845 2007-04-06 20:10:54 Louis Duclos-Gosselin
221 out2-fs-red-no-valid 0.0092 0.0197 0.0155 0.9908 0.9797 0.9845 2007-07-31 02:14:58 IDEAL, Intel
222 emsylva 0.0131 0.0065 0.0156 0.9843 0.9922 0.9844 2008-02-06 07:16:45 mehreen
223 sylvaem4 0.0131 0.0065 0.0156 0.9843 0.9922 0.9844 2008-02-14 07:03:09 mehreen
224 sylvaem4 0.0131 0.0065 0.0156 0.9843 0.9922 0.9844 2008-02-14 07:12:54 mehreen
225 boost tree 0.0014 0.0041 0.0157 0.9999 0.9981 0.9996 2007-02-27 14:24:18 JJS
226 Boost mix 0.0014 0.0041 0.0157 0.9999 0.9981 0.9996 2007-02-27 14:34:23 Jorge Sueiras
227 vrs2 0.013 0.0156 0.0157 0.9794 0.9742 0.9762 2007-02-27 23:13:24 Vladimir Nikulin
228 Data Grid (CMA) 0.013 0.0069 0.0158 0.9888 0.9881 0.9873 2007-02-27 17:38:19 Marc B oulle
229 psmsx_2im 0.0135 0.0045 0.0159 0.9845 0.9946 0.9841 2008-10-04 00:38:23 H. Jair Escalante
230 IDEAL 0.0093 0.0197 0.0159 0.9908 0.9797 0.9841 2007-07-28 10:06:50 IDEAL, Intel
231 ffs monoms 0.0117 0.0073 0.0159 0.989 0.9923 0.9841 2007-12-24 11:49:32 Chen
232 linear lssvm 0.0116 0.0069 0.0161 0.9987 0.998 0.9978 2006-10-11 11:45:39 reference
233 PSMS-SUBSAMPLE-ENSEMBLE-TOP-5 0.0185 0.009 0.0162 0.997 0.9981 0.9973 2008-03-07 17:41:22 H. Jair Escalante
234 linear_SVM_kernel_GentleBoost2 0.0123 0.0143 0.0164 0.9995 0.998 0.9973 2009-01-05 20:12:57 ebozkurt
235 Neural Network9 0.0011 0.0148 0.0164 0.9986 0.9843 0.9836 2007-04-06 20:11:13 Louis Duclos-Gosselin
236 rfe monoms 0.0104 0.0057 0.0166 0.9892 0.9935 0.9834 2007-12-27 09:03:12 Chen
237 FCF 0.0027 0.0156 0.0167 0.9975 0.9804 0.9833 2007-03-04 09:57:01 Jacobus van Zyl
238 PSMS-SUBSAMPLE-ENSEMBLE 0.0193 0.009 0.017 0.9969 0.9979 0.9972 2008-03-07 17:34:07 H. Jair Escalante
239 vrs4 0.013 0.0156 0.017 0.9794 0.9742 0.973 2007-02-27 23:20:59 Vladimir Nikulin
240 sylvaem3 0.0156 0.0094 0.017 0.9813 0.9911 0.983 2008-02-14 06:55:06 mehreen
241 TMK 0.0137 0.0308 0.0172 0.9986 0.9985 0.9984 2006-11-14 17:09:30 The Machine
242 FCF 0.0019 0.009 0.0172 0.9982 0.9896 0.9828 2007-03-04 14:35:05 Jacobus van Zyl
243 ffs special2 0 0.002 0.0177 1 0.9995 0.9985 2008-02-13 12:16:30 Chen
244 Neural Network7 0.0091 0.0288 0.0183 0.9912 0.9724 0.9817 2007-04-06 20:10:35 Louis Duclos-Gosselin
245 HPO_PSMS_10f_CV_SYLVA 0.019 0.0147 0.0187 0.997 0.9979 0.9968 2006-12-28 20:45:39 H. Jair Escalante
246 svm poly 0.0147 0.0106 0.0188 0.9992 0.9982 0.997 2008-01-03 20:26:49 Chen
247 rfe monoms ts5000 0.0192 0.0118 0.0188 0.998 0.9981 0.9972 2008-01-07 11:15:23 Chen
248 Neural Network1 0.0088 0.0115 0.0188 0.9907 0.9871 0.9812 2007-04-06 20:08:33 Louis Duclos-Gosselin
249 Unified framework for SVM Model Selection:Emp-RBF 0.0095 0.0127 0.0189 0.9904 0.9871 0.9811 2008-02-05 15:42:30 mathias
250 ffs complex small 0 0.002 0.0189 1 0.9994 0.9985 2008-02-20 13:00:46 Chen
251 PSMS_CV_281106_NCV_Sylva 0.0192 0.0155 0.019 0.9969 0.9977 0.9968 2006-11-28 16:42:25 H. Jair Escalante
252 liknon feature selection + state of the art (2) 0.0186 0.0164 0.019 0.9947 0.9962 0.9949 2007-07-17 20:29:41 Erinija
253 ffs monoms 0.0122 0.0094 0.0191 0.9994 0.9981 0.9971 2008-01-07 10:18:58 Chen
254 HPO_PSMS_NCV_SYLVA 0.0191 0.0147 0.0193 0.9969 0.9978 0.9967 2006-12-28 20:39:18 H. Jair Escalante
255 boosted trees 0.0012 0.0004 0.0195 1 1 0.9989 2007-07-06 12:23:40 Joerg Wichard
256 boosted trees 2 0.0012 0.0004 0.0195 1 1 0.9989 2007-07-06 12:27:00 Joerg Wichard
257 liknon feature selection + state of the art (3) 0.0198 0.0106 0.0195 0.9948 0.9982 0.9947 2007-07-17 20:34:51 Erinija
258 Neural Network10 0.0054 0.0156 0.0197 0.9941 0.984 0.9803 2007-04-06 20:11:30 Louis Duclos-Gosselin
259 liknon feature selection + state of art (1) 0.0183 0.0106 0.0197 0.9959 0.9973 0.9953 2007-07-17 20:23:36 Erinija
260 OTMK 0.0018 0.0197 0.0204 1 0.9992 0.9989 2006-11-07 13:29:32 The Machine
261 rfe monoms 0.0173 0.0061 0.0204 0.9818 0.9929 0.9796 2007-12-24 11:39:48 Chen
262 RBF SVM 0.0088 0.018 0.0205 0.998 0.9984 0.9971 2007-01-24 22:56:44 Vojtech Franc
263 RBF SVM 0.0088 0.018 0.0205 0.998 0.9984 0.9971 2007-02-28 11:17:36 Vojtech Franc
264 SVM-RBF 0.0088 0.018 0.0205 0.998 0.9984 0.9971 2007-02-28 11:23:05 Vojtech Franc
265 liknon feature selection + state of art 2 0.0212 0.0176 0.0206 0.9961 0.9973 0.9963 2007-01-21 21:49:29 Erinija
266 liknon feature selection + state of art 2 0.0212 0.0176 0.0206 0.9961 0.9973 0.9963 2007-01-21 22:10:15 Erinija
267 ffs special 0.0092 0.0069 0.0206 0.9997 0.9978 0.997 2008-01-14 10:26:36 Chen
268 PSMS_CV_281106_NCV_Sylva2 0.019 0.0147 0.0207 0.9968 0.9977 0.9967 2006-11-28 17:17:45 H. Jair Escalante
269 svm 0.021 0.011 0.0209 0.9781 0.9889 0.9791 2007-12-27 13:08:35 Chen
270 Data Grid (MAP) 0.0161 0.0234 0.0211 0.9977 0.997 0.9965 2007-02-27 17:34:39 Marc B oulle
271 LDPP 0.0102 0.0074 0.0211 0.999 0.999 0.9976 2008-04-30 22:11:18 Mauricio Villegas
272 tst7 0 0 0.0215 1 1 0.9615 2007-07-30 22:58:55 Vladimir Nikulin
273 HPO_PSMS_5f_CV_SYLVA 0.0215 0.0131 0.0216 0.9968 0.9977 0.9968 2006-12-29 15:08:22 H. Jair Escalante
274 FSFSD-mixed (#1) 0.0059 0.0148 0.0224 0.9998 0.9994 0.9966 2007-09-07 14:53:02 Ioannis Partalas
275 svm 0.0073 0.0115 0.0225 0.9931 0.9884 0.9775 2008-02-05 15:28:54 mathias
276 svm 0.0073 0.0115 0.0225 0.9931 0.9884 0.9775 2008-02-05 15:32:23 mathias
277 Unified framework for SVM Model Selection:RM-poly 0.0073 0.0115 0.0225 0.9931 0.9884 0.9775 2008-02-05 15:55:07 mathias
278 FSFSD-mixed (#2) 0.0053 0.0148 0.0225 0.9998 0.9994 0.9963 2007-09-07 15:12:52 Ioannis Partalas
279 Neural Network13 0 0.0267 0.0226 1 0.9682 0.9774 2007-04-06 22:46:55 Louis Duclos-Gosselin
280 Data Grid (CMA) 0.0205 0.009 0.0228 0.981 0.9838 0.9798 2007-02-27 17:39:44 Marc B oulle
281 Data Grid (Coclustering) 0.0205 0.009 0.0228 0.981 0.9838 0.9798 2007-02-27 17:42:00 Marc B oulle
282 DataGrid-MODL 0.0205 0.009 0.0228 0.981 0.9838 0.9798 2007-07-31 07:06:31 Marc B oulle
283 Neural Network12 0.0093 0.0214 0.0228 0.9902 0.9816 0.9772 2007-04-06 20:12:04 Louis Duclos-Gosselin
284 boost 0.5 0.0063 0.0074 0.0229 0.9999 0.9999 0.9989 2007-06-29 11:52:27 Joerg Wichard
285 trees 3 0.0129 0.007 0.0231 0.9998 0.9998 0.9981 2007-06-26 18:29:46 Joerg Wichard
286 intel-GBT-PF-2 0 0 0.0231 1 1 0.9769 2007-08-01 13:27:58 Vladimir Martyanov
287 intel-GBT-PF-4 (Intel final 5) 0 0 0.0231 1 1 0.9769 2007-08-01 13:29:48 Vladimir Martyanov
288 FSFSD-mixed (#3) 0.0027 0.0197 0.0231 1 0.9991 0.9984 2007-09-07 15:38:20 Ioannis Partalas
289 FSCON-230-BER-MIXED (#1) 0.0042 0.0074 0.0232 1 0.9993 0.998 2007-09-03 12:32:32 Ioannis Partalas
290 FSCON-220-BER-MIXED 0.0042 0.0074 0.0232 1 0.9993 0.998 2007-09-03 18:47:26 Ioannis Partalas
291 sc test 0.0038 0.0197 0.0234 0.9999 0.9991 0.9989 2006-12-21 14:30:09 The Machine
292 FSCON-180-BER-HOMO (#2) 0.0037 0.0074 0.0238 1 0.9997 0.9985 2007-09-03 11:45:27 Ioannis Partalas
293 psmsx_5fcv_rf22224_lnx 0.0077 0.0029 0.0239 0.9919 0.9968 0.9761 2008-07-29 02:09:49 H. Jair Escalante
294 psmsx_5fcv_rf22224_lnx2n 0.0077 0.0029 0.0239 0.9919 0.9968 0.9761 2008-07-29 02:18:07 H. Jair Escalante
295 psmsx_run_f1 0.0077 0.0029 0.0239 0.9919 0.9968 0.9761 2008-07-29 15:53:55 H. Jair Escalante
296 psmsx_run_f1ok 0.0077 0.0029 0.0239 0.9919 0.9968 0.9761 2008-07-29 16:01:46 H. Jair Escalante
297 Ensemble Mulitple MLPÂ’s and SVM 0.0003 0.0136 0.0244 0.9997 0.979 0.9756 2007-02-16 04:40:00 Zhihang Chen
298 agnostic-resu-1 0.0003 0.0136 0.0244 0.9997 0.979 0.9756 2007-07-31 13:57:34 Zhihang Chen
299 agnostic-resu-2 0.0003 0.0136 0.0244 0.9997 0.979 0.9756 2007-07-31 13:58:02 Zhihang Chen
300 Unified framework for SVM Model Selection:RM-RBF 0 0.0135 0.0244 1 0.9868 0.9756 2008-02-05 15:49:37 mathias
301 boosted trees 0.0019 0 0.0245 0.9976 1 0.976 2008-12-11 16:28:16 Foreseer
302 liknon feature selection + state of art 3 0.0189 0.011 0.0248 0.9955 0.9967 0.9954 2007-01-23 08:03:19 Erinija
303 Relief+neuralNet' 0.0093 0.0399 0.0249 0.9997 0.9981 0.9969 2009-01-07 23:25:42 Emre Öztürk
304 rf   0.0167 0.0252   0.9799 0.9748 2008-03-19 20:29:13 Corinne
305 FSCON-160-BER-HOMO (#1) 0.0049 0.0136 0.0255 1 0.9997 0.9985 2007-09-03 11:25:30 Ioannis Partalas
306 svm + trees 0.0161 0.007 0.0259 0.9997 0.9997 0.998 2007-07-11 12:18:23 Joerg Wichard
307 Liknon 0.0224 0.0291 0.026 0.9948 0.997 0.9947 2007-01-03 01:18:39 Erinija
308 trees 0.0169 0.0197 0.0266 0.9997 0.9997 0.9981 2007-05-22 11:57:09 Joerg Wichard
309 PSMS-Subsample-50 0.0301 0.0307 0.0292 0.9943 0.9964 0.9949 2008-02-27 22:34:02 H. Jair Escalante
310 PSMS_SUBSAMPLE_RUN_OLD_NOVA 0.0301 0.0307 0.0292 0.9943 0.9964 0.9949 2008-02-28 19:34:38 H. Jair Escalante
311 sylvaem2 0.0315 0.0399 0.0292 0.9688 0.9672 0.9708 2008-02-14 06:46:43 mehreen
312 Neural Network5 0.0079 0.0329 0.0308 0.9927 0.9636 0.9692 2007-04-06 20:10:02 Louis Duclos-Gosselin
313 Neural Network11 0.0122 0.0329 0.0316 0.9867 0.9636 0.9684 2007-04-06 20:11:47 Louis Duclos-Gosselin
314 test 0.0193 0.0387 0.0319 0.9997 0.9982 0.9965 2007-01-21 17:05:22 Joerg Wichard
315 mixed ensemble 0.0186 0.0391 0.032 0.9997 0.9991 0.9976 2006-10-11 17:13:49 Joerg Wichard
316 Bayes_reference_5fCV 0.0333 0.0293 0.0328 0.9952 0.9966 0.9953 2006-12-20 21:50:47 H. Jair Escalante
317 Bayes_reference_10fCV 0.033 0.0285 0.0329 0.9952 0.9966 0.9953 2006-12-20 20:55:03 H. Jair Escalante
318 Bayes_reference_NCV 0.0325 0.0281 0.033 0.9952 0.9966 0.9953 2006-12-20 21:57:00 H. Jair Escalante
319 ecw 0.0107 0.0395 0.0344 0.9885 0.9536 0.9656 2007-02-04 21:47:47 cww
320 ecw 0.0107 0.0395 0.0344 0.9885 0.9536 0.9656 2007-02-04 22:03:28 cww
321 cww1 0.0107 0.0395 0.0344 0.9885 0.9536 0.9656 2007-02-06 21:58:04 cww
322 cww1 0.0107 0.0395 0.0344 0.9885 0.9536 0.9656 2007-02-06 22:05:41 cww
323 cww1_1 0.0107 0.0395 0.0344 0.9885 0.9536 0.9656 2007-02-06 22:19:22 cww
324 naive 0.035 0.0305 0.0348 0.9952 0.9965 0.9953 2009-01-07 15:25:46 Emre Öztürk
325 naiveBayes 0.035 0.0305 0.0348 0.9952 0.9965 0.9953 2009-01-07 15:29:01 Emre Öztürk
326 trees - balanced 0.0249 0.0321 0.0348 0.9995 0.9995 0.9983 2007-06-18 12:32:00 Joerg Wichard
327 Gradient boosted trees 0.0082 0.0081 0.0349 0.9997 0.9976 0.9978 2007-02-28 21:42:27 IDEAL, Intel
328 cww1_2 0.0125 0.0259 0.0361 0.9877 0.9679 0.9639 2007-02-06 22:27:23 cww
329 cww2 0.0125 0.0259 0.0361 0.9877 0.9679 0.9639 2007-02-07 00:21:35 cww
330 Ensemble of Trees 0.0261 0.0444 0.0372 0.9995 0.9987 0.9979 2006-10-23 11:29:48 Joerg Wichard
331 TMK-B0 0.0262 0.0506 0.0375 0.9996 0.9988 0.9983 2006-11-20 11:44:44 The Machine
332 trees and prior knowledge II 0.0288 0.0383 0.0376 0.9994 0.9993 0.9979 2007-05-03 11:33:38 Joerg Wichard
333 prior knowledge 2 0.0288 0.0383 0.0376 0.9994 0.9993 0.9978 2007-05-06 16:26:08 Joerg Wichard
334 RF-CLOP 0 0 0.0378 1 1 0.9988 2008-05-22 22:04:14 H. Jair Escalante
335 RF-CLOP-CD 0 0 0.0381 1 1 0.9988 2008-06-09 20:55:01 H. Jair Escalante
336 RF-CD4000 0 0 0.0381 1 1 0.9619 2008-06-20 19:12:43 H. Jair Escalante
337 liknon feature selection + sate of art classifiers 0.0369 0.037 0.0386 0.5209 0.4705 0.5 2007-01-31 06:17:39 Erinija
338 liknon feature selection+ state of art classifiers 0.0369 0.037 0.0386 0.5209 0.4705 0.5 2007-01-31 15:43:35 Erinija
339 Neural Network4 0.0217 0.0444 0.0389 0.9757 0.9524 0.9611 2007-04-06 20:09:46 Louis Duclos-Gosselin
340 psmsx_2fcv_2050_ok 0.0405 0.0362 0.0408 0.9593 0.9626 0.9592 2008-07-14 16:43:53 H. Jair Escalante
341 cv-trees 0.0324 0.0444 0.0414 0.9995 0.9995 0.9976 2007-07-12 16:42:48 Joerg Wichard
342 cv-trees 0.0324 0.0444 0.0414 0.9995 0.9995 0.9976 2007-07-12 17:58:57 Joerg Wichard
343 trees 0.0286 0.0629 0.0418 0.9995 0.999 0.9981 2007-02-05 12:51:51 Joerg Wichard
344 Zarbi 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2006-09-30 16:47:51 reference
345 ada #7 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-01-24 19:51:08 reference (gcc)
346 ada interim #1 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-01-25 14:58:41 reference (gcc)
347 ada final #1 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-05 11:27:48 reference (gcc)
348 ada final #2 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-05 13:48:10 reference (gcc)
349 ada final #4 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-05 14:23:05 reference (gcc)
350 ada final #3 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-05 18:06:22 reference (gcc)
351 ada final #6 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-05 18:55:56 reference (gcc)
352 hiva final #1 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-06 10:32:47 reference (gcc)
353 hiva final #5 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-06 10:37:26 reference (gcc)
354 hiva final #9 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-06 10:40:08 reference (gcc)
355 hiva final #13 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-06 10:42:11 reference (gcc)
356 hiva final #31 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-06 12:14:07 reference (gcc)
357 hiva final #17 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-07 09:15:22 reference (gcc)
358 hiva final #21 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-07 09:16:36 reference (gcc)
359 hiva final #25 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-07 09:18:45 reference (gcc)
360 hiva final #29 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-07 09:19:52 reference (gcc)
361 hiva final #49 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-07 10:03:04 reference (gcc)
362 gina final #1 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-07 10:53:38 reference (gcc)
363 gina final #2 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-07 13:51:47 reference (gcc)
364 ada final #5 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:25:51 reference (gcc)
365 gina final #3 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:28:33 reference (gcc)
366 gina final #4 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:31:11 reference (gcc)
367 gina final #5 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:33:21 reference (gcc)
368 gina final #6 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:35:35 reference (gcc)
369 gina final #7 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:37:07 reference (gcc)
370 hiva final #50 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:47:10 reference (gcc)
371 hiva final #41 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:48:21 reference (gcc)
372 hiva final #33 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:49:04 reference (gcc)
373 hiva final #32 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:49:44 reference (gcc)
374 hiva final #30 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-08 09:50:25 reference (gcc)
375 hiva final #2 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-09 14:38:56 reference (gcc)
376 hiva final #3 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-09 14:39:45 reference (gcc)
377 hiva final #4 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-09 14:40:42 reference (gcc)
378 hiva final #6 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-09 14:41:26 reference (gcc)
379 hiva final #7 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-09 14:42:11 reference (gcc)
380 hiva final #8 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-10 13:33:50 reference (gcc)
381 hiva final #10 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-10 13:34:21 reference (gcc)
382 hiva final #11 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-10 13:35:04 reference (gcc)
383 hiva final #12 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-10 13:35:35 reference (gcc)
384 hiva final #14 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-10 13:36:06 reference (gcc)
385 ada final #1 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-11 14:42:47 reference (gcc)
386 gina final #8 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-11 14:45:34 reference (gcc)
387 final svm # 1 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-28 19:40:07 Chloe Azencott
388 final svm # 2 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-02-28 23:25:40 Chloe Azencott
389 ad-prop 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-03-09 05:38:45 mehreen
390 adprop675 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-03-09 05:44:34 mehreen
391 ad-prop684 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-03-09 05:52:48 mehreen
392 ad-prop58 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-03-09 05:56:07 mehreen
393 SVM 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-05-23 23:36:17 Chloe Azencott
394 Hiva model 1 0.0457 0.0294 0.0434 0.9535 0.9774 0.9566 2007-06-25 10:35:46 mehreen
395 Hiva Model 2 0.0457 0.0294 0.0434 0.9535 0.9774 0.9566 2007-06-25 10:36:59 mehreen
396 Hival model 4 0.0457 0.0294 0.0434 0.9535 0.9774 0.9566 2007-06-25 10:38:03 mehreen
397 Linear Regression Tree 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2007-07-25 10:09:29 Entry777
398 Trying Zarbi 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2009-11-06 10:18:20 ABH
399 zarbi 0.0457 0.0294 0.0434 0.9905 0.994 0.9912 2010-10-07 17:33:13 IG
400 mixed ensembles 0.036 0.0629 0.0439 0.9992 0.9975 0.9981 2006-10-24 13:01:08 Joerg Wichard
401 psmsx_mi4_ukn 0.0147 0.0082 0.0442 0.9854 0.9908 0.9558 2008-10-06 17:07:45 H. Jair Escalante
402 TE 1 0.0404 0.0753 0.0462 0.9993 0.9986 0.9976 2007-02-20 11:47:58 Joerg Wichard
403 LDA and LSSVM 0.0458 0.0584 0.0495 0.9516 0.9471 0.9505 2007-03-01 19:38:10 Stijn Vanderlooy
404 micc-ikat 0.0458 0.0584 0.0495 0.9516 0.9471 0.9505 2007-07-31 07:13:14 Stijn Vanderlooy
405 Ensemble of Trees - validation data included 0.0041 0 0.0508 0.9997 1 0.9969 2007-04-26 13:41:16 Joerg Wichard
406 rbf_5 0.0118 0.0435 0.0517 1 0.9826 0.9872 2009-01-05 12:48:18 ebozkurt
407 svm 0 0.0749 0.0552 1 0.9895 0.9895 2007-02-28 14:16:34 Joerg Wichard
408 DataGrid-SCC 0.0662 0.0671 0.0605 0.9847 0.9805 0.985 2007-07-31 07:05:06 Marc B oulle
409 liknon feature selection + state of art 0.0649 0.0885 0.0699 0.9968 0.9977 0.9967 2007-01-21 21:05:35 Erinija
410 psmsx_ad_syl_ina_maq 0 0 0.072 1 1 0.928 2008-07-29 15:25:23 H. Jair Escalante
411 psmsx_100_10_5_2cs 0 0 0.0726 1 1 0.9274 2008-07-28 20:28:16 H. Jair Escalante
412 RF-CLOP-AS 0.0781 0.0822 0.0763 0.9192 0.9202 0.9237 2008-06-09 20:59:04 H. Jair Escalante
413 psmsx_5cv_rf5 0.0815 0.0556 0.0763 0.9181 0.9519 0.9237 2008-07-11 17:13:36 H. Jair Escalante
414 YAT 0.0864 0.0932 0.0853 0.9982 0.9979 0.9973 2006-11-25 16:43:25 weseeare
415 AUCmax 0.0889 0.0957 0.0878 0.9984 0.9982 0.9976 2006-11-23 16:08:20 weseeare
416 Prepro+linearSVC 0.0927 0.092 0.0906 0.9979 0.998 0.9976 2009-01-07 23:03:52 Emre Öztürk
417 FCF 0.0859 0.0942 0.0913 0.918 0.9045 0.9087 2007-02-25 08:53:54 Jacobus van Zyl
418 RankNCG 0.0941 0.0989 0.0937 0.9993 0.9991 0.9987 2006-11-17 04:29:04 weseeare
419 naiveBayes_Ensemble 0.0957 0.1127 0.095 0.9099 0.8798 0.9118 2006-11-10 19:57:20 pipibjc
420 RFE+SVC 0.1157 0.1201 0.1136 0.9965 0.9973 0.9965 2009-01-07 22:52:53 Emre Öztürk
421 wro_psmsx_2fcv_rf_in_mac 0.1253 0.1279 0.1242 0.8717 0.8809 0.8748 2008-07-07 22:48:47 H. Jair Escalante
422 rsc.ec.ber 0 0 0.4894 1 1 0.5106 2007-03-01 01:01:43 Dmitry Zhora
423 rsc.ec 0 0.0325 0.4899 1 0.9488 0.5101 2007-02-28 09:22:02 Dmitry Zhora
424 rbf_20 0.0003 0.4885 0.4919 1 0.9657 0.9482 2009-01-03 15:44:16 ebozkurt
425 kridge 0.4857 0.4941 0.4926 0.5116 0.5067 0.5092 2008-11-19 20:07:47 ebozkurt
426 LogitBoost 0.5037 0.4592 0.4987 0.4949 0.4877 0.5035 2008-11-20 21:15:56 ebozkurt
427 LogitBoost3 0.5037 0.4592 0.4987 0.4949 0.4877 0.5035 2009-01-02 08:38:26 ebozkurt
428 pre_pro+non_linear_svc 0.5039 0.4713 0.4988 0.4847 0.4845 0.4975 2008-11-27 22:27:11 ebozkurt
429 pca+kernel_ridge 0.5025 0.4857 0.4988 0.4874 0.4674 0.5048 2008-11-19 19:30:52 ebozkurt
430 gs+kernel_ridge 0.5009 0.4841 0.4989 0.4859 0.5065 0.506 2008-11-19 19:35:15 ebozkurt
431 pre_pro+svm 0.5013 0.4687 0.4991 0.509 0.4858 0.4967 2008-12-31 18:43:26 ebozkurt
432 relief+neural_net 0.5033 0.4622 0.4992 0.4744 0.523 0.5028 2008-11-19 19:26:30 ebozkurt
433 single 0.5042 0.4672 0.4993 0.4945 0.5665 0.5016 2008-12-30 18:52:05 ebozkurt
434 Boosting2 0.5029 0.4609 0.4994 0.4902 0.4578 0.4991 2008-11-19 19:38:24 ebozkurt
435 neural 0.5001 0.5 0.5 0.5134 0.4723 0.4978 2008-11-28 16:54:12 ebozkurt
436 neural 0.5001 0.5 0.5 0.5134 0.4723 0.4978 2008-11-28 16:59:11 ebozkurt
437 CLOP 0.5023 0.5 0.5 0.4874 0.4905 0.5 2006-10-11 01:32:02 Joerg Wichard
438 rf   0.0167 0.5   0.9799 0.5 2008-03-19 19:01:16 Corinne
439 rf   0.0167 0.5   0.9799 0.5 2008-03-19 19:02:11 Corinne
440 rf   0.0167 0.5   0.9799 0.5 2008-03-19 19:02:38 Corinne
441 rf   0.0167 0.5   0.9799 0.5 2008-03-19 19:03:12 Corinne
442 rf   0.0167 0.5   0.9799 0.5 2008-03-19 19:06:04 Corinne
443 rf   0.0167 0.5   0.9799 0.5 2008-03-19 19:08:34 Corinne
444 rf   0.0167 0.5   0.9799 0.5 2008-03-19 19:09:34 Corinne
445 rf   0.0167 0.5   0.9799 0.5 2008-03-19 19:24:15 Corinne
446 RF-Aall 0.5 0.5 0.5 0.5068 0.4905 0.5 2008-05-26 23:08:34 H. Jair Escalante
447 RF-Aada 0.5 0.5 0.5 0.5068 0.4905 0.5 2008-05-26 23:17:00 H. Jair Escalante
448 RF-Aada 0.5 0.5 0.5 0.5068 0.4905 0.5 2008-05-26 23:17:41 H. Jair Escalante
449 RF-Aada 0.5 0.5 0.5 0.5068 0.4905 0.5 2008-05-26 23:24:55 H. Jair Escalante
450 RF-AS4000 0.5 0.5 0.5 0.5068 0.4905 0.5 2008-06-20 19:19:22 H. Jair Escalante
451 krr 0.4999 0.5 0.5 0.5035 0.4905 0.5 2008-11-19 18:51:43 ebozkurt
452 naiveBayes_ensemble 0.5016 0.4705 0.5001 0.5118 0.5185 0.5001 2008-11-19 19:43:12 ebozkurt
453 linearSVC_gentleboost 0.496 0.4988 0.5007 0.5116 0.5113 0.4947 2008-12-31 13:04:37 ebozkurt
454 linearSVC_Ensemble 0.485 0.4713 0.5011 0.5231 0.4884 0.4986 2008-11-27 22:35:01 ebozkurt
455 pre_pro+linear_svc 0.485 0.4713 0.5011 0.5171 0.47 0.4975 2008-11-19 19:06:09 ebozkurt
456 rfe+svc 0.4918 0.4998 0.5031 0.5146 0.4614 0.4972 2008-11-27 22:23:24 ebozkurt
457 2-SVMT 0.0015 0.0292 xxxxx 0.9987 0.9788 xxxxx 2007-01-07 22:14:01 S Pang
458 LogitBoost with trees   0.0111     0.9859   2006-10-10 17:11:14 Roman Lutz
459 LogitBoost with trees   0.0098     0.9871   2006-10-10 17:14:03 Roman Lutz
460 LogitBoost with trees   0.0218     0.9783   2006-10-10 17:17:12 Roman Lutz
461 Alternating Decision Trees 0 0.0403   1 0.9973   2006-10-12 15:12:02 FDC
462 Boostexter 0.018 0.0642   1 0.9981   2006-10-12 22:48:17 tvcn
463 brlsc 0.0102 0.0077   0.9899 0.9928   2006-10-13 09:40:21 Marius Popescu
464 brlsc 0.0097 0.0077   0.9903 0.9933   2006-10-13 12:09:23 Marius Popescu
465 brlsc 0.0189 0.0187   0.9806 0.9814   2006-10-14 11:03:52 Marius Popescu
466 kfisher 0.0186 0.0246   0.9804 0.9816   2006-10-14 11:37:02 Marius Popescu
467 brlsc   0.0081     0.9941   2006-10-14 22:22:45 Marius Popescu
468 brlsc   0.0061     0.9959   2006-10-15 11:55:53 Marius Popescu
469 brlsc 0.0055 0.0086   0.9939 0.9936   2006-10-15 14:55:10 Marius Popescu
470 brlsc 0.0053 0.0053   0.9944 0.9967   2006-10-15 17:22:03 Marius Popescu
471 brlsc 0.0048 0.0053   0.9948 0.9965   2006-10-15 20:24:25 Marius Popescu
472 brlsc 0.0064 0.0061   0.9935 0.9958   2006-10-15 21:43:39 Marius Popescu
473 brlsc 0.0064 0.0061   0.9933 0.9958   2006-10-15 22:30:56 Marius Popescu
474 brlsc 0.0033 0.0069   0.9966 0.9949   2006-10-16 13:31:26 Marius Popescu
475 LB   0.0119     0.9912   2006-10-16 20:07:40 Roman Lutz
476 LB   0.0086     0.9946   2006-10-16 20:09:47 Roman Lutz
477 LB   0.0102     0.9923   2006-10-16 20:16:04 Roman Lutz
478 LB   0.0136     0.9932   2006-10-16 20:17:09 Roman Lutz
479 LB   0.0135     0.9895   2006-10-16 20:34:16 Roman Lutz
480 Alternating Decision Trees with limited boosting s 0.0193 0.0703   1 0.9971   2006-10-17 10:45:38 FDC
481 brlsc 0.0065 0.0147   0.9928 0.9858   2006-10-17 10:51:47 Marius Popescu
482 LB   0.009     0.9938   2006-10-17 11:21:47 Roman Lutz
483 LB sum   0.0053     0.9961   2006-10-17 15:14:02 Roman Lutz
484 LB sum   0.0041     0.997   2006-10-17 17:03:34 Roman Lutz
485 brlsc 0.008 0.0098   0.9911 0.9926   2006-10-17 17:23:09 Marius Popescu
486 ADT nb steps controlled 0.0019 0.0457   1 0.9974   2006-10-18 14:24:21 FDC
487 brlsc 0.006 0.0065   0.9939 0.9945   2006-10-18 15:19:33 Marius Popescu
488 brlsc 0.0053 0.0049   0.9946 0.9963   2006-10-18 18:08:43 Marius Popescu
489 brlsc 0.006 0.0049   0.994 0.9966   2006-10-19 15:12:41 Marius Popescu
490 Kridge 0.0057 0.0053   0.9944 0.9957   2006-10-19 17:26:55 Marius Popescu
491 kridge 0.0065 0.0065   0.9936 0.9947   2006-10-20 15:30:14 Marius Popescu
492 kridge 0.0061 0.0065   0.9937 0.9953   2006-10-20 17:47:20 Marius Popescu
493 kridge 0.0053 0.0049   0.9947 0.9963   2006-10-21 07:41:27 Marius Popescu
494 RS+trees   0.0102     0.9867   2006-11-10 00:53:57 Vladimir Nikulin
495 RS+trees   0.0049     0.9983   2006-11-10 05:46:18 Vladimir Nikulin
496 adhoc   0.0049     0.9941   2006-11-14 14:00:10 cgrozea
497 adhoc   0.0049     0.9941   2006-11-14 20:32:12 cgrozea
498 logistic regression 0.0055 0.0123   0.9969 0.9866   2006-11-16 12:09:33 pb
499 DoubleBoost 0.003 0.0057   0.9996 0.9988   2007-01-04 11:31:50 Roman Lutz
500 DoubleBoost   0.0094     0.9988   2007-01-04 11:40:25 Roman Lutz
501 DoubleBoost   0.0102     0.9988   2007-01-04 11:44:42 Roman Lutz
502 DoubleBoost   0.0041     0.9988   2007-01-04 11:48:54 Roman Lutz
503 DoubleBoost   0.0391     0.9983   2007-01-04 11:59:07 Roman Lutz
504 DoubleBoost 0.0019 0.0053   0.9999 0.9988   2007-01-04 17:03:26 Roman Lutz
505 DoubleBoost 0.0019 0.0029   0.9999 0.9988   2007-01-04 17:07:42 Roman Lutz
506 Min Max Modular SVM--the baseline 0.0002 0.0749   0.9998 0.9193   2007-01-11 14:56:57 Zhifei Ye
507 Min Max Modular SVM--Sylva Temp   0.0106     0.9894   2007-01-23 03:02:01 Zhifei Ye
508 liknon+knn3+cost   0.0254     0.9695   2007-01-27 19:21:08 Erinija
509 liknon+knn3   0.065     0.9115   2007-01-27 19:30:47 Erinija
510 liknon feature selection +weighted discriminats   0.0155     0.9974   2007-01-27 20:04:13 Erinija
511 liknon feature selection +weighted discriminats 2   0.0411     0.9578   2007-01-28 01:40:02 Erinija
512 liknon feature selection +weighted discriminats 3   0.0143     0.9858   2007-01-28 01:45:11 Erinija
513 Boosting   0.4585     0.5359   2008-10-25 12:41:27 ebozkurt

Entry color code :
Complete prior knowledge Incomplete prior knowledge
Complete agnostic learning Incomplete agnostic learning
Model Selection Game Reference
Post-challenge submissions
Complete : all results on all datasets