Competition results: Table 5

Table95a (resp. Table133) below displays a 14-dimensional score for each entry with a hgu95a (resp. hgu133) dataset. The score is a limited representation of our assessment, e.g. MAS 5.0. Entries are (or should be) uniquely identified by method and the e-mail address (account@host) of the submitter, but the tables use abbreviated identifiers, which should suffice, built from the method nickname and e-mail account. For details about a particular entry, click on its identifier.

Because of space considerations, the tables contain only a certain 14 of the 48 measures made by the assessment, and the measures displayed are rounded to 2 decimal places.

Ideal score values are included in italics. The current best score values are in bold italics.

To see the entries ranked with respect to a particular measure, click on the corresponding heading: "1" ... "14".

The score components, along with the corresponding assessment score number, are as follows:

  1. [26] Median SD - median SD across replicates
  2. [18] null log-fc IQR - Inter-quartile range of the log-fold-changes from genes that should not change.
  3. [20] null log-fc 99.9% - 99.9% percentile of the log-fold-changes if from the genes that should not change.
  4. [2] Signal detect R2 - R-squared obtained from regressing expression values on nominal concentrations in the spike-in data
  5. [1] Signal detect slope - slope obtained from regressing expression values on nominal concentrations in the spike-in data
  6. [29] low.slope - Slope from regression of observed log concentration versus nominal log concentraion for genes with low intensities.
  7. [30] med.slope - As above but for genes with medium intensities.
  8. [31] high.slope - As above but for genes with high intensities.
  9. [10] Obs-intended-fc slope - slope obtained from regressing observed log-fold-changes against nominal log-fold-changes
  10. [11] Obs-(low)int-fc slope - slope obtained from regressing observed log-fold-changes against nominal log-fold-changes for genes with nominal concentrations less than or equal to 2.
  11. [21] low AUC - Area under the ROC curve (up to 100 false positives) for genes with low intensity standardized so that optimum is 1.
  12. [22] med AUC - As above but for genes with medium intensities.
  13. [23] high AUC - As above but for genes with high intensities.
  14. [24] weighted avg AUC - A weighted average of the previous 3 ROC curves with weights related to amount of data in each class (low,medium,high).

Table 5. hgu95a entries ranked by: Signal detect slope

(*: #genes subnormal)

N Method / Submitter 1 2 3 4 5 6 7 8 9 10 11 12 13 14
0 (perfection) 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
132 Dracula / peterdlauren 0.29 0.21 0.79 0.94 1.01 0.48 1.16 0.85 0.99 0.55 0.59 0.89 0.62 0.66
42 mmgMOSgs / liux 0.40 0.58 3.27 0.80 1.03 1.34 1.13 0.45 1.02 1.40 0.09 0.00 0.00 0.07
14 GCRMA / zwu 0.09 0.16 0.77 0.84 0.97 0.81 1.17 0.55 0.92 0.66 0.56 0.87 0.43 0.63
22 gMOS_v.1 / m.milo 0.29 0.00 3.35 0.75 0.95 0.98 1.12 0.42 0.94 1.04 0.07 0.03 0.00 0.06
69 chipcal4 / mahoney.douglas 0.18 0.26 1.17 0.70 0.94 0.45 1.06 1.04 0.95 0.41 0.20 0.71 0.63 0.33
92 GCRMA39 / rfajri 0.12 0.07 1.19 0.90 0.92 0.90 1.07 0.56 0.90 0.89 0.52 0.63 0.12 0.54
49 dChipwMM / rafa 0.32 0.38 10.83 0.61 0.91 1.17 0.87 0.34 0.87 1.68 0.04 0.00 0.00 0.03
72 i_gcrma2 / Xu 0.09 0.08 0.85 0.91 0.90 0.66 1.10 0.59 0.88 0.70 0.59 0.90 0.39 0.66
122 RMAp / m boareto 0.17 0.29 0.86 0.80 0.89 0.50 1.09 0.67 0.87 0.52 0.37 0.85 0.41 0.49
15 ChipMan / plauren 0.27 0.33 2.26 0.82 0.88 0.44 1.11 0.68 0.87 0.44 0.06 0.29 0.08 0.12
36 gcrma113 / zwu 0.08 0.04 0.74 0.91 0.87 0.66 1.06 0.56 0.86 0.68 0.63 0.94 0.46 0.71
65 DIMO / mena2 0.24 0.33 3.10 0.80 0.87 0.65 1.12 0.45 0.85 0.72 0.12 0.11 0.00 0.11
91 GCRMAm / rfajri 0.13 0.10 1.41 0.91 0.87 0.77 1.04 0.56 0.85 0.78 0.29 0.35 0.03 0.30
71 i_gcrma1 / Xu 0.09 0.06 0.79 0.91 0.84 0.62 1.03 0.55 0.82 0.65 0.59 0.90 0.38 0.66
73 i_gcrma3 / Xu 0.08 0.06 0.79 0.91 0.84 0.62 1.03 0.55 0.82 0.66 0.59 0.90 0.37 0.66
35 GS_GCRMA / thon 0.10 0.07 0.79 0.91 0.84 0.62 1.03 0.55 0.82 0.65 0.59 0.90 0.38 0.66
116 g14Mb / rfajri 0.09 0.08 0.81 0.92 0.82 0.57 1.01 0.55 0.80 0.59 0.51 0.90 0.35 0.60
54 Afit_fn / Michael.D.Lynch * 0.39 0.16 1.21 0.80 0.79 0.69 0.90 0.49 0.75 0.68 0.40 0.44 0.19 0.41
53 Afit_qn / Michael.D.Lynch 0.07 0.00 1.18 0.82 0.79 0.68 0.88 0.50 0.75 0.66 0.40 0.48 0.12 0.42
62 l-FARMS / hochreit 0.00 0.00 0.19 0.80 0.77 0.28 0.99 0.78 0.80 0.31 0.77 0.95 0.92 0.81
6 vsn_scal / w.huber 0.09 0.15 0.43 0.81 0.77 0.28 0.91 0.70 0.75 0.28 0.46 0.97 0.78 0.59
44 vsn_scal / huber 0.09 0.15 0.42 0.81 0.76 0.28 0.90 0.70 0.74 0.28 0.46 0.97 0.78 0.59
41 mgMOS_gs / liux 0.36 0.55 2.86 0.82 0.76 0.83 0.86 0.43 0.75 0.90 0.02 0.00 0.00 0.01
59 DQN / wei-min.liu 0.47 0.68 2.59 0.88 0.72 0.71 0.87 0.41 0.71 0.68 0.01 0.00 0.00 0.00
11 PLIER / Earl Hubbell 0.19 0.33 123.27 0.91 0.71 0.75 0.85 0.46 0.72 0.65 0.00 0.00 0.00 0.00
1 MAS_5.0 / rafa 0.63 0.85 4.48 0.86 0.71 0.69 0.81 0.45 0.69 0.65 0.00 0.00 0.00 0.00
16 ProbePro / shilmer 0.31 0.47 18.75 0.47 1.45 1.61 1.57 0.39 1.33 1.93 0.03 0.03 0.00 0.03
33 UM-Tr-Mn / jmacdon 0.32 0.51 2.92 0.87 0.68 0.58 0.83 0.42 0.67 0.54 0.00 0.00 0.00 0.00
23 rsvd / jack liu 0.00 0.00 0.58 0.90 0.66 0.42 0.85 0.40 0.66 0.41 0.54 0.85 0.40 0.61
50 NLF95 / scvortso 0.00 0.00 0.00 0.89 0.65 0.31 0.72 0.68 0.64 0.34 0.71 0.91 0.94 0.76
13 PLIER+16 / Earl Hubbell 0.13 0.21 0.83 0.91 0.65 0.49 0.80 0.46 0.65 0.46 0.41 0.72 0.30 0.48
131 RPA / leo.lahti 0.10 0.17 0.52 0.80 0.64 0.37 0.79 0.48 0.63 0.39 0.47 0.92 0.54 0.58
88 en.FARMS / clevert 0.00 0.00 0.00 0.85 0.63 0.22 0.80 0.62 0.65 0.25 1.00 1.00 1.00 1.00
2 RMA / rafa 0.11 0.19 0.57 0.80 0.63 0.35 0.76 0.47 0.61 0.36 0.40 0.87 0.46 0.52
34 GS_RMA / thon 0.11 0.19 0.57 0.80 0.63 0.35 0.76 0.47 0.61 0.36 0.40 0.87 0.46 0.52
19 RMA:GNV / szeto 0.11 0.19 0.58 0.80 0.62 0.35 0.76 0.47 0.61 0.36 0.41 0.87 0.46 0.52
121 RMA34 / m boareto 0.12 0.20 0.60 0.80 0.62 0.35 0.76 0.47 0.61 0.36 0.37 0.85 0.41 0.49
8 RMAVSN / thomas.cappola 0.09 0.16 0.48 0.81 0.61 0.31 0.74 0.46 0.60 0.32 0.46 0.90 0.56 0.57
21 MAS5+32 / Earl Hubbell 0.14 0.23 1.07 0.88 0.60 0.35 0.71 0.44 0.59 0.33 0.07 0.28 0.08 0.12
68 RMA-75 / mmcgee 0.12 0.20 0.72 0.81 0.59 0.32 0.72 0.47 0.58 0.32 0.24 0.71 0.30 0.35
63 q-FARMS / hochreit 0.00 0.00 0.10 0.78 0.59 0.20 0.75 0.59 0.60 0.23 0.89 0.97 0.96 0.91
67 RMA-Mean / mmcgee 0.11 0.19 0.73 0.81 0.59 0.31 0.72 0.47 0.58 0.31 0.23 0.70 0.30 0.35
56 PQN / wei-min.liu 0.11 0.19 0.75 0.83 0.57 0.31 0.70 0.45 0.56 0.33 0.18 0.67 0.25 0.30
4 ZAM2NBG / magnus.astrand 0.09 0.16 0.50 0.77 0.57 0.30 0.70 0.47 0.57 0.32 0.41 0.92 0.60 0.54
24 ZL / lzhou 0.22 0.12 0.52 0.65 0.57 0.35 0.71 0.45 0.57 0.36 0.55 0.81 0.63 0.61
3 dChip / rafa 0.13 0.20 1.44 0.85 0.53 0.31 0.67 0.39 0.52 0.32 0.07 0.18 0.01 0.09
76 dimo / mena2 0.05 0.09 0.38 0.79 0.52 0.18 0.61 0.52 0.51 0.18 0.37 0.94 0.82 0.51
7 vsn / w.huber 0.06 0.10 0.29 0.81 0.51 0.19 0.60 0.47 0.50 0.19 0.46 0.97 0.78 0.59
43 vsn / huber 0.06 0.10 0.28 0.81 0.51 0.18 0.60 0.46 0.50 0.18 0.46 0.97 0.78 0.59
12 GSVDmod / hzuzan 0.07 0.13 0.44 0.85 0.51 0.22 0.64 0.42 0.50 0.24 0.38 0.91 0.59 0.51
32 gltran / lzhou 0.07 0.12 0.42 0.78 0.51 0.23 0.61 0.45 0.50 0.22 0.43 0.92 0.69 0.55
10 GSVDmin / hzuzan 0.08 0.13 0.60 0.83 0.50 0.22 0.62 0.41 0.49 0.24 0.29 0.81 0.49 0.41
89 VST-RMA / dupan 0.04 0.07 0.23 0.80 0.49 0.15 0.57 0.46 0.47 0.15 0.49 0.95 0.88 0.60
20 GL / mai98ftu 0.05 0.08 0.25 0.81 0.48 0.16 0.55 0.46 0.47 0.16 0.51 0.94 0.83 0.62
9 RMA_NBG / bolstad 0.04 0.08 0.24 0.81 0.48 0.16 0.56 0.46 0.47 0.15 0.50 0.96 0.87 0.61
18 PM / zhangli * 0.05 0.09 0.40 0.87 0.46 0.18 0.56 0.43 0.45 0.18 0.36 0.91 0.73 0.50
17 MMEI / shibing.deng 0.04 0.06 0.23 0.80 0.45 0.16 0.54 0.46 0.45 0.16 0.51 0.97 0.90 0.62
119 mrma / m boareto 0.08 0.14 0.41 0.80 0.42 0.24 0.51 0.32 0.41 0.24 0.37 0.85 0.41 0.49
5 qn.p5 / cope 0.12 0.22 1.09 0.50 0.42 0.13 0.50 0.52 0.43 0.14 0.04 0.30 0.30 0.11
81 dfwfcb / zhongxue 0.00 0.00 0.00 0.63 0.31 0.11 0.34 0.26 0.29 0.12 1.00 1.00 1.00 1.00
120 RMA34 / m boareto 0.03 0.05 0.25 0.76 0.10 0.08 0.13 0.06 0.10 0.08 0.07 0.04 0.00 0.06
117 RMA / m boareto 0.03 0.05 0.25 0.76 0.10 0.08 0.13 0.06 0.10 0.08 0.07 0.04 0.00 0.06
118 RMA / m boareto 0.03 0.05 0.25 0.76 0.10 0.08 0.13 0.06 0.10 0.08 0.07 0.04 0.00 0.06
57 PQNB1 / wei-min.liu 0.02 0.03 0.11 0.78 0.08 0.06 0.10 0.04 0.08 0.07 0.39 0.46 0.02 0.40
60 DQNB1 / wei-min.liu 0.05 0.08 0.27 0.84 0.08 0.10 0.08 0.04 0.07 0.10 0.03 0.00 0.00 0.02
58 PQNB1+16 / wei-min.liu 0.00 0.00 0.01 0.81 0.01 0.00 0.01 0.00 0.01 0.01 0.39 0.68 0.15 0.45
61 DQNB1+16 / wei-min.liu 0.00 0.01 0.02 0.87 0.01 0.01 0.01 0.00 0.01 0.01 0.06 0.02 0.00 0.05
0 (perfection) 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
N Method / Submitter 1 2 3 4 5 6 7 8 9 10 11 12 13 14

Table 5. hgu133 entries ranked by: Signal detect slope

(^: #genes subnormal)

N Method / Submitter 1 2 3 4 5 6 7 8 9 10 11 12 13 14
0 (perfection) 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
96 jtGCRMA / lanmeiaoxue fxm 0.06 0.03 0.61 0.91 1.00 0.48 1.07 0.97 1.00 0.47 0.45 0.87 0.87 0.56
82 gcrma / zhongxue 0.06 0.04 0.61 0.91 1.00 0.49 1.06 0.97 1.00 0.48 0.46 0.87 0.86 0.56
36 gcrma113 / zwu 0.06 0.04 0.61 0.91 1.00 0.49 1.06 0.97 1.00 0.48 0.46 0.87 0.86 0.56
94 GCRMA / lanmeiaoxue fxm 0.04 0.00 0.64 0.91 0.99 0.49 1.06 0.98 0.99 0.49 0.45 0.86 0.85 0.55
100 GCRMA / lanmeiaoxue fxm 0.04 0.00 0.64 0.91 0.99 0.49 1.06 0.98 0.99 0.49 0.45 0.86 0.85 0.55
101 GCRMA / lanmeiaoxue fxm 0.04 0.00 0.64 0.91 0.99 0.49 1.06 0.98 0.99 0.49 0.45 0.86 0.85 0.55
109 GCRMA / lanmeiaoxue fxm 0.04 0.00 0.64 0.91 0.99 0.49 1.06 0.98 0.99 0.49 0.45 0.86 0.85 0.55
132 Dracula / peterdlauren 0.33 0.18 0.58 0.92 0.99 0.46 1.00 1.33 0.99 0.41 0.63 0.85 0.88 0.68
49 dChipwMM / rafa 0.20 0.26 9.61 0.65 0.98 1.29 0.75 0.69 0.99 1.17 0.08 0.00 0.00 0.06
62 l-FARMS / hochreit 0.00 0.00 0.08 0.90 1.02 0.34 1.09 1.49 1.02 0.33 0.90 0.99 0.99 0.92
42 mmgMOSgs / liux 0.24 0.34 2.71 0.89 1.03 1.08 0.88 0.79 1.03 1.05 0.11 0.00 0.00 0.09
116 g14Mb / rfajri 0.07 0.05 0.70 0.92 0.96 0.62 0.96 0.96 0.96 0.61 0.55 0.81 0.81 0.62
90 lmc3 / fasold 0.30 0.45 2.62 0.92 1.04 0.80 0.98 1.09 1.04 0.78 0.07 0.04 0.00 0.06
47 real / scvortso 0.05 0.02 0.53 0.90 1.04 0.30 1.22 0.97 1.04 0.30 0.37 0.93 0.89 0.51
69 chipcal4 / mahoney.douglas 0.10 0.21 0.82 0.82 0.95 0.42 0.89 1.64 0.95 0.42 0.31 0.69 0.94 0.41
91 GCRMAm / rfajri 0.07 0.06 0.90 0.91 1.07 0.88 0.99 0.97 1.07 0.87 0.58 0.70 0.64 0.61
35 GS_GCRMA / thon 0.07 0.09 0.65 0.93 0.93 0.57 0.92 0.96 0.93 0.55 0.55 0.82 0.84 0.62
29 LW2 / dgreco 0.14 0.25 13.88 0.56 1.08 1.65 0.74 0.68 1.08 1.45 0.08 0.00 0.00 0.06
51 Afit_qn / Michael.D.Lynch 0.06 0.03 0.74 0.87 0.86 0.69 0.82 0.82 0.86 0.66 0.54 0.68 0.67 0.58
52 Afit_fn / Michael.D.Lynch 0.18 0.17 0.79 0.87 0.86 0.69 0.82 0.82 0.86 0.67 0.53 0.63 0.59 0.55
92 GCRMA39 / rfajri 0.07 0.05 0.88 0.90 1.16 0.81 1.11 0.97 1.16 0.79 0.50 0.75 0.64 0.56
114 plier / lanmeiaoxue fxm 0.13 0.22 4.26 0.85 0.83 0.91 0.73 0.75 0.82 0.90 0.07 0.00 0.00 0.05
84 plier / zhongxue 0.20 0.24 4.28 0.85 0.82 0.90 0.73 0.75 0.82 0.91 0.07 0.00 0.00 0.05
111 plier / lanmeiaoxue fxm 0.20 0.24 4.28 0.85 0.82 0.90 0.73 0.75 0.82 0.91 0.07 0.00 0.00 0.05
113 plier / lanmeiaoxue fxm 0.20 0.24 4.28 0.85 0.82 0.90 0.73 0.75 0.82 0.91 0.07 0.00 0.00 0.05
41 mgMOS_gs / liux 0.24 0.34 2.02 0.92 0.81 0.70 0.75 0.77 0.81 0.68 0.08 0.01 0.00 0.06
77 Dimo2 / mena2 0.12 0.17 0.57 0.90 0.79 0.37 0.82 0.97 0.79 0.35 0.44 0.83 0.90 0.53
105 mmgMOS / lanmeiaoxue fxm 0.28 0.41 3.28 0.85 1.28 1.54 1.01 0.80 1.28 1.48 0.17 0.00 0.00 0.13
112 mmgMOS / lanmeiaoxue fxm 0.28 0.41 3.28 0.85 1.28 1.54 1.01 0.80 1.28 1.48 0.17 0.00 0.00 0.13
44 vsn_scal / huber 0.07 0.13 0.36 0.88 0.78 0.23 0.82 1.16 0.78 0.23 0.45 0.92 0.99 0.57
63 q-FARMS / hochreit 0.00 0.00 0.04 0.89 0.77 0.25 0.82 1.12 0.77 0.25 0.92 0.99 0.99 0.94
1 MAS_5.0 / rafa 0.29 0.47 4.01 0.91 0.77 0.65 0.71 0.77 0.77 0.64 0.00 0.00 0.00 0.00
97 Mas5 / lanmeiaoxue fxm 0.29 0.47 4.01 0.91 0.77 0.65 0.71 0.77 0.77 0.64 0.00 0.00 0.00 0.00
98 Mas5 / lanmeiaoxue fxm 0.29 0.47 4.01 0.91 0.77 0.65 0.71 0.77 0.77 0.64 0.00 0.00 0.00 0.00
103 Mas5 / lanmeiaoxue fxm 0.29 0.47 4.01 0.91 0.77 0.65 0.71 0.77 0.77 0.64 0.00 0.00 0.00 0.00
88 en.FARMS / clevert 0.00 0.00 0.00 0.89 0.76 0.25 0.81 1.14 0.76 0.25 1.00 1.00 1.00 1.00
59 DQN / wei-min.liu 0.24 0.35 2.21 0.93 0.76 0.59 0.74 0.72 0.76 0.57 0.03 0.00 0.00 0.02
85 OLIGO / stephan.preibisch 0.56 0.59 19.14 0.67 1.32 2.07 0.93 1.18 1.32 2.18 0.01 0.00 0.00 0.01
74 HLehmann / mhossain 0.30 0.42 3.67 0.91 0.75 0.60 0.71 0.77 0.75 0.59 0.01 0.00 0.00 0.00
37 rsvd2 / jack.liu 0.17 0.28 1.74 0.91 0.75 0.54 0.73 0.81 0.75 0.52 0.04 0.02 0.02 0.03
78 NLF_test / scvortso 0.00 0.00 1.00 0.89 0.74 0.38 0.72 1.11 0.74 0.38 0.66 0.74 0.81 0.68
79 NLF_bior / scvortso 0.00 0.00 0.00 0.89 0.74 0.38 0.72 1.11 0.74 0.38 0.91 0.96 0.97 0.92
80 NLF_bior / scvortso 0.00 0.00 0.00 0.89 0.74 0.38 0.72 1.11 0.74 0.38 0.88 0.93 0.95 0.89
23 rsvd / jack liu 0.14 0.12 0.73 0.94 0.74 0.44 0.75 0.73 0.74 0.43 0.45 0.63 0.55 0.49
123 rmaB / m boareto 0.66 1.19 3.64 0.60 1.37 1.52 1.77 -0.98 1.37 1.48 0.24 0.13 0.06 0.21
129 RMAoutC / m boareto 0.17 0.31 1.22 0.90 0.71 0.41 0.70 0.84 0.71 0.40 0.14 0.19 0.21 0.15
127 rmaOcorr / m boareto 0.17 0.31 1.23 0.90 0.71 0.41 0.70 0.84 0.71 0.40 0.13 0.18 0.21 0.15
27 rma-sep / dgreco 0.18 0.28 0.96 0.90 0.71 0.40 0.71 0.84 0.71 0.39 0.23 0.37 0.42 0.26
48 NLF / scvortso 0.02 0.01 0.15 0.85 0.70 0.30 0.71 1.07 0.70 0.29 0.72 0.94 0.96 0.77
33 UM-Tr-Mn / jmacdon 0.15 0.25 1.86 0.93 0.70 0.46 0.71 0.70 0.70 0.44 0.02 0.01 0.00 0.02
45 NLF / scvortso 0.12 0.18 1.79 0.86 0.70 0.30 0.69 1.10 0.70 0.28 0.08 0.17 0.42 0.11
86 cl081406 / cli 0.15 0.26 3.04 0.92 0.69 0.40 0.73 0.69 0.69 0.39 0.00 0.00 0.00 0.00
131 RPA / leo.lahti 0.07 0.12 0.35 0.89 0.69 0.32 0.73 0.82 0.69 0.31 0.53 0.91 0.95 0.63
128 rma2 / m boareto 0.07 0.13 0.41 0.90 0.68 0.32 0.71 0.80 0.68 0.31 0.51 0.87 0.93 0.60
34 GS_RMA / thon 0.07 0.13 0.40 0.90 0.68 0.31 0.71 0.80 0.68 0.30 0.51 0.88 0.93 0.60
93 RMA / lanmeiaoxue fxm 0.07 0.13 0.40 0.90 0.68 0.31 0.71 0.80 0.68 0.31 0.51 0.88 0.93 0.60
95 RMA / lanmeiaoxue fxm 0.07 0.13 0.40 0.90 0.68 0.31 0.71 0.80 0.68 0.31 0.51 0.88 0.93 0.60
104 rma / lanmeiaoxue fxm 0.07 0.13 0.40 0.90 0.68 0.31 0.71 0.80 0.68 0.31 0.51 0.88 0.93 0.60
2 RMA / rafa 0.07 0.13 0.40 0.90 0.68 0.31 0.71 0.80 0.68 0.31 0.51 0.88 0.93 0.60
26 rma-tog / dgreco 0.07 0.13 0.40 0.90 0.68 0.31 0.71 0.80 0.68 0.31 0.51 0.88 0.93 0.60
87 test / cresus22 0.07 0.13 0.41 0.89 0.65 0.31 0.68 0.79 0.64 0.29 0.46 0.87 0.87 0.57
70 rse / jack.liu 0.14 0.20 2.03 0.91 0.64 0.35 0.65 0.80 0.64 0.35 0.00 0.00 0.00 0.00
75 dimo1.1 / mena2 0.06 0.11 0.37 0.88 0.63 0.23 0.65 0.93 0.63 0.22 0.40 0.88 0.97 0.52
68 RMA-75 / mmcgee 0.08 0.14 0.46 0.89 0.62 0.29 0.65 0.79 0.62 0.28 0.42 0.81 0.91 0.52
55 SBLW / iliketobicycle 0.09 0.15 0.68 0.90 0.62 0.29 0.65 0.78 0.62 0.28 0.32 0.61 0.70 0.40
67 RMA-Mean / mmcgee 0.08 0.14 0.48 0.89 0.62 0.28 0.64 0.79 0.61 0.27 0.39 0.79 0.89 0.49
28 LW1 / dgreco 0.08 0.14 1.18 0.91 0.59 0.26 0.63 0.74 0.59 0.25 0.11 0.33 0.38 0.17
56 PQN / wei-min.liu 0.07 0.14 0.64 0.91 0.59 0.25 0.62 0.78 0.59 0.24 0.23 0.63 0.75 0.33
30 rsvd.bgc / jack liu 0.08 0.14 0.52 0.89 0.58 0.23 0.61 0.79 0.58 0.22 0.25 0.74 0.84 0.37
108 FARMS / lanmeiaoxue fxm 0.00 0.00 0.00 0.88 0.55 0.19 0.59 0.80 0.55 0.18 0.94 0.99 0.99 0.95
110 FARMS / lanmeiaoxue fxm 0.00 0.00 0.00 0.88 0.55 0.19 0.59 0.80 0.55 0.18 0.94 0.99 0.99 0.95
66 DIMO / Mena2 0.06 0.11 0.36 0.86 0.55 0.18 0.58 0.83 0.55 0.17 0.31 0.85 0.96 0.45
89 VST-RMA / dupan 0.05 0.09 0.25 0.88 0.55 0.17 0.59 0.77 0.55 0.17 0.46 0.93 0.98 0.58
83 dchip / zhongxue 0.07 0.11 0.61 0.91 0.54 0.19 0.59 0.71 0.54 0.19 0.19 0.65 0.71 0.30
106 MBEI / lanmeiaoxue fxm 0.07 0.11 0.61 0.91 0.54 0.19 0.59 0.71 0.54 0.19 0.19 0.65 0.71 0.30
130 mnf.pre / philippe.serhal 0.05 0.09 0.24 0.89 0.54 0.17 0.57 0.77 0.53 0.17 0.49 0.93 0.98 0.60
25 rsvd.pm / jack liu 0.06 0.11 0.34 0.89 0.53 0.17 0.56 0.77 0.53 0.16 0.32 0.87 0.94 0.46
43 vsn / huber 0.05 0.09 0.24 0.88 0.52 0.16 0.55 0.78 0.52 0.16 0.45 0.92 0.99 0.57
81 dfwfcb / zhongxue 0.00 0.00 0.00 0.71 0.50 0.19 0.53 0.70 0.50 0.18 1.00 1.00 1.00 1.00
99 plier / lanmeiaoxue fxm 0.03 0.05 13.82 0.22 0.26 0.73 0.14 0.10 0.26 0.75 0.03 0.00 0.00 0.02
115 plier / lanmeiaoxue fxm 0.05 0.06 11.48 0.25 0.25 0.67 0.14 0.10 0.25 0.69 0.03 0.00 0.00 0.02
64 chipcal2 / mahoney.douglas 0.01 0.03 0.10 0.82 0.13 0.04 0.12 0.27 0.13 0.04 0.25 0.73 0.97 0.37
126 rma / m boareto 0.02 0.03 0.12 0.88 0.12 0.09 0.13 0.10 0.12 0.08 0.46 0.63 0.38 0.50
31 cor523 / cope 0.02 0.03 0.12 0.88 0.12 0.08 0.13 0.10 0.12 0.08 0.47 0.65 0.40 0.51
8 RMAVSN / thomas.cappola 0.02 0.04 0.15 0.89 0.12 0.08 0.12 0.10 0.12 0.08 0.35 0.40 0.19 0.36
40 RMAVSN / thomas.cappola 0.02 0.04 0.15 0.89 0.12 0.08 0.12 0.10 0.12 0.08 0.35 0.40 0.19 0.36
38 W237 / dario.greco 0.02 0.04 0.17 0.87 0.12 0.07 0.13 0.10 0.12 0.07 0.25 0.31 0.15 0.26
57 PQNB1 / wei-min.liu 0.01 0.02 0.09 0.92 0.09 0.04 0.10 0.10 0.09 0.04 0.35 0.71 0.73 0.44
60 DQNB1 / wei-min.liu 0.02 0.03 0.15 0.94 0.09 0.05 0.10 0.10 0.09 0.05 0.10 0.19 0.20 0.12
107 FARMS / lanmeiaoxue fxm 0.00 0.00 0.00 0.90 0.09 0.04 0.10 0.10 0.09 0.04 0.95 0.98 0.98 0.96
102 vsn / lanmeiaoxue fxm 0.01 0.02 0.06 0.90 0.09 0.04 0.10 0.10 0.09 0.04 0.42 0.83 0.77 0.52
39 RMA_NBG / bolstad 0.01 0.02 0.06 0.90 0.09 0.04 0.10 0.10 0.09 0.04 0.46 0.87 0.89 0.56
125 PMp / m boareto 0.45 0.77 129.78 0.00 0.02 -0.25 0.53 -0.01 0.02 -0.19 0.00 0.00 0.00 0.00
58 PQNB1+16 / wei-min.liu 0.00 0.00 0.01 0.91 0.01 0.00 0.01 0.01 0.01 0.00 0.34 0.82 0.93 0.46
61 DQNB1+16 / wei-min.liu 0.00 0.00 0.01 0.92 0.01 0.00 0.01 0.01 0.01 0.00 0.14 0.46 0.72 0.22
124 RMAp2 / m boareto 0.16 0.30 4.71 0.00 -0.00 -0.02 0.01 -0.00 -0.00 -0.02 0.00 0.00 0.00 0.00
46 real / scvortso 0.05 0.02 0.51 0.00 -0.01 -0.01 0.04 0.06 -0.01 -0.00 0.32 0.31 0.33 0.32
0 (perfection) 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
N Method / Submitter 1 2 3 4 5 6 7 8 9 10 11 12 13 14

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