The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'OS' (over-segmentation) in ascending order. The sorting criterium or the order can be changed by clicking on the appropriate criterium label. Subset of compared results can be filtered by several filters below. The segmentation details (single mosaics and their corresponding criteria values) are visible by clicking on the order number. Below the criterium labels are mean and standard deviation of the values of displayed results. They are used to compute z-scores which are displayed in brackets. The ranks are displayed in parentheses.

Select  result's set    benchmark     hidden results Show Hide
Filter by algorithm features
? 0 1   f1 = classification (supervised segmentation)
? 0 1   f2 = hiearchy result (manual selection)
? 0 1   f3 = known number of regions
? 0 1   f4 = [reserved]
Filter by degradationtype: ? no Gaussian Poisson Salt&pepper Blur (Gaussian) Median
Filter by algorithm
Algorithm: Version:

   
Benchmark - Colour f1 f2 f3 f4 AVG
RANK
NORM
CS
44.56
±24.46
criterion 'OS' (over-segmentation) in ascending orderOS
16.94
±19.58
US
11.05
±11.15
ME
29.58
±26.16
NE
29.70
±25.96
O
32.51
±25.28
C
42.39
±33.61
CA
58.40
±22.21
CO
66.55
±21.27
CC
74.79
±21.71
I
33.28
±21.16
II
5.38
±4.52
EA
66.44
±21.47
MS
54.54
±27.82
RM
6.79
±4.05
CI
68.22
±21.04
GCE
19.86
±12.92
LCE
14.94
±11.82
BCE
39.83
±17.34
GBCE
34.90
±16.69
BGM
70.25
±15.35
SC
63.35
±17.24
SSC
63.69
±16.98
VD
20.71
±11.22
L
70.32
±14.61
AVI
9.01
±4.67
NVI
25.32
±13.74
NMI
68.17
±16.57
M
14.39
±8.01
ARI
59.11
±20.07
JC
55.01
±18.40
DC
67.59
±16.00
FMI
68.95
±15.21
WI
70.64
±17.31
WII
70.50
±17.10
NBDE
8.21
±3.50
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  76.32 
 (25.89) 
 [0.283] 
52.48
(23)
[0.324]
0.00
(1)
[-0.865]
1.94
(11)
[-0.817]
41.55
(43)
[0.457]
40.97
(43)
[0.434]
20.74
(26)
[-0.465]
22.10
(23)
[-0.604]
67.01
(22)
[0.388]
77.86
(19)
[0.532]
78.34
(34)
[0.163]
22.14
(19)
[-0.527]
4.40
(35)
[-0.217]
76.21
(21)
[0.455]
66.79
(21)
[0.440]
4.47
(19)
[-0.571]
77.05
(25)
[0.420]
23.93
(43)
[0.315]
19.69
(43)
[0.402]
33.50
(21)
[-0.365]
29.26
(25)
[-0.338]
79.35
(17)
[0.592]
71.06
(20)
[0.447]
69.71
(22)
[0.354]
17.86
(27)
[-0.254]
75.22
(27)
[0.335]
8.41
(30)
[-0.128]
27.51
(40)
[0.159]
68.94
(33)
[0.046]
10.62
(20)
[-0.471]
67.19
(22)
[0.403]
60.90
(22)
[0.320]
73.94
(21)
[0.397]
74.22
(22)
[0.347]
71.09
(36)
[0.027]
77.92
(25)
[0.434]
8.50
(31)
[0.085]
 1.  borkojos's cooccurence&naive bayes   [normal] CL 1 0 1 0  69.38 
 (34.92) 
 [-0.130] 
39.12
(33)
[-0.222]
0.00
(1)
[-0.865]
1.92
(10)
[-0.819]
54.14
(46)
[0.939]
54.79
(46)
[0.966]
26.75
(31)
[-0.227]
29.46
(29)
[-0.385]
59.27
(34)
[0.039]
70.76
(32)
[0.198]
75.10
(38)
[0.014]
29.24
(32)
[-0.191]
4.85
(38)
[-0.116]
70.29
(31)
[0.179]
56.14
(35)
[0.057]
6.65
(33)
[-0.034]
71.51
(33)
[0.156]
32.19
(47)
[0.954]
25.91
(47)
[0.927]
42.77
(33)
[0.170]
36.48
(33)
[0.094]
72.83
(30)
[0.168]
61.79
(33)
[-0.091]
62.21
(34)
[-0.087]
24.01
(42)
[0.294]
69.08
(35)
[-0.085]
10.89
(42)
[0.401]
35.76
(47)
[0.760]
60.31
(44)
[-0.475]
14.22
(34)
[-0.022]
56.17
(34)
[-0.146]
50.26
(35)
[-0.258]
65.23
(35)
[-0.148]
65.48
(37)
[-0.228]
64.84
(40)
[-0.335]
66.61
(38)
[-0.228]
9.39
(35)
[0.337]
 1.  jirkujak's LBP 3,1  [normal] CL 1 0 1 0  48.96 
 (51.64) 
 [-1.346] 
12.16
(54)
[-1.324]
0.00
(1)
[-0.865]
9.67
(37)
[-0.124]
75.55
(53)
[1.757]
74.24
(53)
[1.716]
72.24
(54)
[1.572]
51.36
(40)
[0.267]
26.31
(55)
[-1.445]
40.38
(54)
[-1.230]
51.72
(50)
[-1.063]
59.62
(54)
[1.245]
10.11
(50)
[1.048]
35.36
(55)
[-1.448]
10.56
(55)
[-1.581]
17.37
(58)
[2.610]
39.04
(55)
[-1.387]
37.54
(51)
[1.368]
31.64
(52)
[1.412]
63.95
(55)
[1.392]
58.04
(54)
[1.386]
50.06
(54)
[-1.315]
41.51
(54)
[-1.266]
38.46
(54)
[-1.486]
37.57
(55)
[1.502]
45.85
(55)
[-1.676]
14.95
(53)
[1.271]
50.03
(56)
[1.798]
36.86
(56)
[-1.889]
30.94
(57)
[2.066]
24.97
(57)
[-1.701]
29.64
(54)
[-1.379]
44.62
(54)
[-1.436]
46.39
(55)
[-1.483]
36.80
(58)
[-1.955]
59.78
(42)
[-0.627]
12.95
(55)
[1.354]
 1.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.49 
 (41.11) 
 [-0.909] 
42.19
(30)
[-0.097]
0.00
(1)
[-0.865]
2.41
(13)
[-0.774]
51.41
(45)
[0.835]
51.41
(45)
[0.836]
97.97
(58)
[2.589]
98.38
(53)
[1.666]
2.69
(58)
[-2.508]
4.97
(58)
[-2.895]
6.86
(58)
[-3.129]
95.03
(58)
[2.919]
15.57
(57)
[2.255]
4.80
(58)
[-2.871]
-34.39
(59)
[-3.196]
12.79
(53)
[1.482]
5.29
(58)
[-2.991]
30.12
(45)
[0.794]
23.82
(46)
[0.751]
41.73
(32)
[0.110]
35.43
(32)
[0.031]
72.58
(31)
[0.152]
62.64
(31)
[-0.041]
62.66
(33)
[-0.061]
23.85
(41)
[0.279]
70.30
(34)
[-0.002]
10.49
(40)
[0.317]
33.98
(45)
[0.630]
62.06
(41)
[-0.369]
14.07
(33)
[-0.040]
56.97
(33)
[-0.106]
51.54
(32)
[-0.189]
65.80
(33)
[-0.112]
66.11
(36)
[-0.187]
65.48
(39)
[-0.298]
67.35
(37)
[-0.184]
7.64
(24)
[-0.160]
 1.  mahelpet's noname   [normal] 1 0 0 0  39.59 
 (55.42) 
 [-1.942] 
3.83
(59)
[-1.665]
0.00
(1)
[-0.865]
12.17
(44)
[0.101]
85.20
(58)
[2.126]
85.02
(58)
[2.131]
78.47
(56)
[1.818]
72.17
(45)
[0.886]
21.29
(56)
[-1.671]
36.59
(55)
[-1.408]
34.58
(56)
[-1.853]
63.41
(55)
[1.424]
15.70
(58)
[2.283]
31.91
(56)
[-1.608]
4.88
(56)
[-1.785]
14.13
(57)
[1.812]
33.63
(56)
[-1.644]
53.56
(59)
[2.607]
49.11
(59)
[2.891]
75.05
(58)
[2.032]
70.61
(58)
[2.139]
36.59
(58)
[-2.193]
28.80
(58)
[-2.004]
26.36
(59)
[-2.199]
50.56
(59)
[2.659]
34.75
(59)
[-2.436]
20.67
(59)
[2.495]
68.12
(59)
[3.114]
15.50
(59)
[-3.178]
34.56
(58)
[2.518]
12.57
(59)
[-2.319]
21.60
(59)
[-1.816]
34.65
(58)
[-2.059]
35.98
(59)
[-2.167]
30.24
(59)
[-2.334]
44.75
(56)
[-1.506]
14.79
(57)
[1.879]
 1.  connetwork12's conn col-noblur  [normal] CL 1 0 0 0  90.41 
 (7.36) 
 [1.107] 
84.57
(4)
[1.635]
0.00
(1)
[-0.865]
1.70
(9)
[-0.839]
9.50
(18)
[-0.768]
10.22
(19)
[-0.751]
7.00
(7)
[-1.009]
5.34
(4)
[-1.102]
86.21
(4)
[1.252]
92.02
(4)
[1.197]
92.68
(10)
[0.824]
7.98
(4)
[-1.196]
1.70
(14)
[-0.812]
91.72
(4)
[1.178]
88.03
(4)
[1.204]
2.08
(5)
[-1.161]
92.02
(4)
[1.131]
11.76
(19)
[-0.627]
8.61
(26)
[-0.536]
16.45
(4)
[-1.348]
13.30
(4)
[-1.294]
92.02
(4)
[1.418]
86.73
(4)
[1.356]
86.36
(4)
[1.335]
7.50
(4)
[-1.178]
88.77
(4)
[1.263]
4.31
(10)
[-1.005]
14.50
(13)
[-0.787]
84.01
(11)
[0.955]
4.69
(4)
[-1.213]
85.54
(4)
[1.317]
80.13
(4)
[1.365]
88.56
(4)
[1.311]
88.61
(4)
[1.292]
87.65
(11)
[0.983]
89.66
(5)
[1.120]
3.86
(7)
[-1.239]
 1.  huangyuan's EWT-FCNT   [normal] CL 1 0 0 0  98.43 
 (1.14) 
 [1.613] 
98.45
(1)
[2.203]
0.00
(1)
[-0.865]
0.00
(1)
[-0.991]
0.37
(2)
[-1.117]
0.46
(2)
[-1.127]
0.93
(1)
[-1.249]
1.05
(1)
[-1.230]
97.67
(1)
[1.768]
98.78
(1)
[1.515]
98.81
(1)
[1.106]
1.22
(1)
[-1.515]
0.25
(3)
[-1.135]
98.76
(1)
[1.506]
98.17
(1)
[1.568]
0.24
(2)
[-1.614]
98.78
(1)
[1.453]
2.23
(1)
[-1.365]
1.68
(1)
[-1.122]
2.88
(1)
[-2.131]
2.33
(1)
[-1.951]
98.78
(1)
[1.858]
97.69
(1)
[1.992]
97.67
(1)
[2.001]
1.21
(1)
[-1.738]
97.86
(1)
[1.885]
1.02
(1)
[-1.710]
3.33
(1)
[-1.600]
96.32
(1)
[1.698]
0.74
(1)
[-1.705]
97.61
(1)
[1.919]
96.31
(1)
[2.244]
98.09
(1)
[1.906]
98.09
(1)
[1.915]
98.14
(1)
[1.589]
98.04
(1)
[1.610]
0.60
(1)
[-2.169]
 8.  eldeeqq's Test 0.1  [normal] 1 0 0 0  51.09 
 (49.72) 
 [-1.171] 
8.67
(57)
[-1.467]
0.80
(8)
[-0.824]
0.00
(1)
[-0.991]
78.33
(56)
[1.863]
78.75
(56)
[1.890]
47.95
(45)
[0.611]
46.67
(37)
[0.127]
32.97
(51)
[-1.145]
46.72
(50)
[-0.932]
48.37
(55)
[-1.217]
43.28
(45)
[0.473]
9.98
(49)
[1.019]
45.29
(50)
[-0.985]
25.43
(51)
[-1.046]
7.08
(37)
[0.071]
46.37
(53)
[-1.038]
44.75
(56)
[1.926]
38.35
(56)
[1.980]
56.00
(49)
[0.933]
49.60
(50)
[0.880]
46.72
(55)
[-1.533]
36.92
(55)
[-1.533]
35.04
(56)
[-1.688]
36.38
(53)
[1.396]
44.04
(58)
[-1.799]
14.08
(52)
[1.085]
48.85
(55)
[1.713]
36.29
(58)
[-1.924]
21.01
(48)
[0.827]
27.37
(56)
[-1.581]
27.06
(56)
[-1.519]
41.12
(56)
[-1.655]
41.32
(57)
[-1.816]
38.20
(57)
[-1.874]
44.84
(55)
[-1.501]
11.50
(51)
[0.939]
 9.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.28 
 (29.94) 
 [0.135] 
46.11
(27)
[0.063]
0.81
(9)
[-0.824]
4.18
(17)
[-0.616]
44.82
(44)
[0.582]
45.29
(44)
[0.600]
14.52
(17)
[-0.711]
16.77
(19)
[-0.762]
65.42
(26)
[0.316]
76.19
(22)
[0.453]
80.30
(32)
[0.254]
23.81
(22)
[-0.448]
4.82
(37)
[-0.124]
75.40
(25)
[0.417]
64.29
(25)
[0.350]
6.43
(31)
[-0.088]
76.69
(26)
[0.403]
25.78
(44)
[0.458]
20.68
(44)
[0.486]
36.67
(29)
[-0.182]
31.58
(27)
[-0.199]
76.19
(22)
[0.387]
66.99
(29)
[0.212]
66.85
(30)
[0.186]
20.35
(34)
[-0.032]
76.15
(23)
[0.399]
8.84
(35)
[-0.038]
29.20
(42)
[0.282]
67.43
(36)
[-0.045]
13.25
(29)
[-0.143]
60.58
(30)
[0.074]
54.85
(31)
[-0.009]
69.05
(30)
[0.091]
69.41
(31)
[0.030]
68.59
(38)
[-0.118]
70.97
(34)
[0.027]
9.62
(37)
[0.403]
 10.  guloleg's HOG  [normal] 1 0 1 0  53.15 
 (49.47) 
 [-1.107] 
11.59
(55)
[-1.348]
1.54
(10)
[-0.787]
9.62
(36)
[-0.128]
76.51
(54)
[1.794]
77.17
(54)
[1.829]
51.11
(48)
[0.736]
46.26
(36)
[0.115]
35.67
(49)
[-1.023]
52.72
(46)
[-0.650]
49.37
(52)
[-1.171]
47.28
(47)
[0.662]
12.13
(53)
[1.493]
47.43
(48)
[-0.886]
29.09
(49)
[-0.915]
12.53
(52)
[1.417]
49.14
(49)
[-0.907]
37.69
(52)
[1.379]
32.92
(53)
[1.521]
60.40
(52)
[1.187]
55.62
(53)
[1.241]
52.72
(51)
[-1.142]
43.59
(51)
[-1.146]
41.08
(52)
[-1.332]
36.90
(54)
[1.443]
50.46
(53)
[-1.360]
13.59
(50)
[0.980]
46.09
(53)
[1.511]
42.23
(54)
[-1.566]
27.03
(55)
[1.578]
30.87
(54)
[-1.407]
33.00
(51)
[-1.196]
48.91
(51)
[-1.168]
49.98
(51)
[-1.246]
42.69
(56)
[-1.615]
59.55
(43)
[-0.641]
12.24
(54)
[1.152]
 11.  v-andrearczyk's FCNT sup.  [normal] CL 1 0 1 0  95.98 
 (3.53) 
 [1.455] 
96.01
(3)
[2.103]
1.56
(11)
[-0.786]
1.20
(6)
[-0.883]
0.78
(3)
[-1.101]
0.89
(3)
[-1.110]
2.71
(3)
[-1.178]
2.29
(3)
[-1.193]
93.95
(3)
[1.601]
96.73
(3)
[1.419]
97.02
(4)
[1.024]
3.27
(3)
[-1.419]
0.68
(6)
[-1.040]
96.68
(3)
[1.409]
95.10
(3)
[1.458]
0.86
(4)
[-1.462]
96.77
(3)
[1.357]
5.55
(4)
[-1.108]
3.75
(4)
[-0.947]
7.69
(3)
[-1.854]
5.89
(3)
[-1.738]
96.81
(3)
[1.730]
94.16
(3)
[1.787]
94.03
(3)
[1.787]
3.06
(3)
[-1.573]
94.69
(3)
[1.668]
2.27
(3)
[-1.442]
7.56
(3)
[-1.293]
91.69
(3)
[1.419]
1.96
(3)
[-1.553]
93.84
(3)
[1.731]
90.74
(3)
[1.942]
95.10
(3)
[1.720]
95.11
(3)
[1.720]
94.77
(4)
[1.394]
95.46
(3)
[1.460]
1.32
(3)
[-1.965]
 12.  huangyuan's unet psp21ewt  [normal] CL 1 0 0 0  97.67 
 (2.31) 
 [1.565] 
98.09
(2)
[2.188]
1.70
(12)
[-0.778]
0.00
(1)
[-0.991]
0.37
(1)
[-1.117]
0.09
(1)
[-1.141]
1.57
(2)
[-1.223]
1.82
(2)
[-1.207]
96.52
(2)
[1.716]
98.18
(2)
[1.487]
98.01
(3)
[1.070]
1.82
(2)
[-1.487]
0.39
(4)
[-1.102]
98.08
(2)
[1.474]
97.27
(2)
[1.536]
0.29
(3)
[-1.603]
98.09
(2)
[1.420]
3.20
(2)
[-1.290]
2.70
(2)
[-1.036]
3.95
(2)
[-2.070]
3.44
(2)
[-1.885]
98.18
(2)
[1.819]
96.71
(2)
[1.935]
96.55
(2)
[1.935]
1.75
(2)
[-1.690]
96.57
(2)
[1.797]
1.48
(2)
[-1.611]
4.90
(2)
[-1.486]
94.58
(2)
[1.594]
1.08
(2)
[-1.663]
96.60
(2)
[1.868]
94.77
(2)
[2.160]
97.29
(2)
[1.857]
97.29
(2)
[1.863]
97.15
(2)
[1.532]
97.44
(2)
[1.575]
0.77
(2)
[-2.122]
 13.  connetwork12's conn col-blur3  [normal] CL 1 0 0 0  85.80 
 (14.58) 
 [0.832] 
72.93
(8)
[1.159]
1.73
(13)
[-0.777]
2.74
(14)
[-0.745]
18.89
(29)
[-0.409]
18.74
(29)
[-0.422]
9.21
(13)
[-0.922]
9.78
(13)
[-0.970]
80.08
(10)
[0.976]
87.78
(7)
[0.998]
89.19
(18)
[0.663]
12.22
(7)
[-0.996]
2.59
(20)
[-0.617]
87.40
(8)
[0.976]
81.67
(9)
[0.975]
3.15
(9)
[-0.898]
87.92
(8)
[0.936]
16.64
(32)
[-0.249]
12.55
(37)
[-0.203]
22.57
(12)
[-0.995]
18.48
(13)
[-0.984]
88.02
(6)
[1.157]
81.18
(11)
[1.034]
80.76
(11)
[1.005]
10.90
(15)
[-0.874]
84.92
(10)
[0.999]
5.75
(17)
[-0.697]
19.43
(27)
[-0.428]
78.64
(17)
[0.631]
6.78
(11)
[-0.951]
79.07
(11)
[0.995]
72.50
(12)
[0.950]
83.47
(11)
[0.993]
83.50
(11)
[0.957]
82.47
(19)
[0.684]
84.60
(13)
[0.825]
5.03
(14)
[-0.907]
 14.  daicav's SegTexCol  [large] 0 0 0 0  82.50 
 (18.44) 
 [0.626] 
61.19
(16)
[0.680]
1.92
(14)
[-0.767]
27.02
(54)
[1.433]
9.33
(17)
[-0.774]
9.05
(17)
[-0.796]
15.17
(19)
[-0.686]
12.12
(15)
[-0.901]
71.69
(18)
[0.599]
81.16
(16)
[0.687]
76.34
(36)
[0.072]
18.84
(16)
[-0.682]
3.77
(28)
[-0.356]
77.20
(19)
[0.501]
71.87
(17)
[0.623]
6.40
(30)
[-0.096]
77.95
(19)
[0.463]
8.36
(12)
[-0.890]
6.01
(14)
[-0.756]
25.98
(16)
[-0.799]
23.63
(17)
[-0.675]
81.16
(16)
[0.710]
78.15
(16)
[0.858]
75.50
(16)
[0.695]
11.75
(16)
[-0.798]
76.27
(22)
[0.407]
4.88
(13)
[-0.883]
16.00
(16)
[-0.678]
80.93
(14)
[0.770]
9.19
(18)
[-0.651]
75.75
(16)
[0.829]
70.11
(16)
[0.820]
80.97
(16)
[0.837]
81.91
(16)
[0.852]
75.75
(28)
[0.295]
90.27
(4)
[1.156]
4.93
(11)
[-0.936]
 15.  py's CGCHI   [large] 0 0 0 0  51.34 
 (50.19) 
 [-1.177] 
10.94
(56)
[-1.374]
2.19
(15)
[-0.753]
3.96
(16)
[-0.636]
81.91
(57)
[2.000]
81.39
(57)
[1.991]
59.33
(50)
[1.061]
51.77
(41)
[0.279]
35.62
(50)
[-1.025]
50.50
(48)
[-0.755]
49.27
(53)
[-1.176]
49.50
(49)
[0.767]
10.69
(51)
[1.176]
47.04
(49)
[-0.903]
26.89
(50)
[-0.994]
10.28
(50)
[0.862]
48.39
(50)
[-0.942]
42.35
(55)
[1.740]
38.59
(57)
[2.001]
62.15
(54)
[1.288]
58.39
(55)
[1.407]
50.50
(53)
[-1.287]
41.93
(53)
[-1.242]
39.53
(53)
[-1.423]
40.15
(57)
[1.732]
48.15
(54)
[-1.518]
15.31
(54)
[1.347]
50.16
(57)
[1.807]
39.47
(55)
[-1.732]
25.32
(53)
[1.365]
30.89
(53)
[-1.406]
31.50
(52)
[-1.278]
46.39
(52)
[-1.325]
47.54
(53)
[-1.407]
43.30
(55)
[-1.579]
54.28
(47)
[-0.949]
10.44
(43)
[0.638]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.56
±24.46
criterion 'OS' (over-segmentation) in ascending orderOS
16.94
±19.58
US
11.05
±11.15
ME
29.58
±26.16
NE
29.70
±25.96
O
32.51
±25.28
C
42.39
±33.61
CA
58.40
±22.21
CO
66.55
±21.27
CC
74.79
±21.71
I
33.28
±21.16
II
5.38
±4.52
EA
66.44
±21.47
MS
54.54
±27.82
RM
6.79
±4.05
CI
68.22
±21.04
GCE
19.86
±12.92
LCE
14.94
±11.82
BCE
39.83
±17.34
GBCE
34.90
±16.69
BGM
70.25
±15.35
SC
63.35
±17.24
SSC
63.69
±16.98
VD
20.71
±11.22
L
70.32
±14.61
AVI
9.01
±4.67
NVI
25.32
±13.74
NMI
68.17
±16.57
M
14.39
±8.01
ARI
59.11
±20.07
JC
55.01
±18.40
DC
67.59
±16.00
FMI
68.95
±15.21
WI
70.64
±17.31
WII
70.50
±17.10
NBDE
8.21
±3.50
 16.  scarpa's TFR  [normal] 0 1 0 0  73.61 
 (32.00) 
 [0.068] 
46.13
(26)
[0.064]
2.37
(16)
[-0.744]
23.99
(52)
[1.161]
26.70
(33)
[-0.110]
25.23
(33)
[-0.172]
28.73
(33)
[-0.149]
12.50
(16)
[-0.889]
61.32
(32)
[0.132]
73.00
(29)
[0.303]
68.91
(42)
[-0.271]
27.00
(29)
[-0.297]
8.56
(47)
[0.704]
68.62
(34)
[0.102]
59.76
(32)
[0.188]
8.61
(44)
[0.450]
69.73
(37)
[0.072]
15.51
(28)
[-0.337]
12.03
(36)
[-0.247]
37.29
(30)
[-0.146]
33.80
(31)
[-0.066]
73.00
(29)
[0.179]
68.48
(24)
[0.298]
64.83
(31)
[0.067]
18.21
(29)
[-0.223]
68.54
(37)
[-0.122]
7.73
(27)
[-0.274]
25.28
(36)
[-0.003]
68.13
(34)
[-0.003]
17.47
(41)
[0.384]
57.90
(32)
[-0.060]
55.57
(29)
[0.030]
68.82
(31)
[0.077]
70.72
(30)
[0.117]
61.21
(41)
[-0.544]
84.40
(14)
[0.813]
8.05
(27)
[-0.046]
 17.  xiaofang's weighted_color_patch   [normal] 0 0 0 0  68.23 
 (37.25) 
 [-0.214] 
30.92
(38)
[-0.557]
4.12
(17)
[-0.655]
26.67
(53)
[1.401]
37.40
(42)
[0.299]
35.72
(42)
[0.232]
41.32
(39)
[0.349]
28.70
(28)
[-0.407]
53.55
(38)
[-0.218]
67.49
(33)
[0.044]
63.39
(45)
[-0.525]
32.51
(33)
[-0.036]
6.60
(40)
[0.271]
62.69
(38)
[-0.175]
51.23
(38)
[-0.119]
9.34
(48)
[0.630]
64.00
(38)
[-0.200]
20.29
(38)
[0.033]
14.82
(41)
[-0.011]
43.88
(34)
[0.234]
38.42
(34)
[0.210]
67.49
(34)
[-0.180]
61.93
(32)
[-0.082]
58.22
(39)
[-0.322]
22.27
(37)
[0.139]
60.97
(43)
[-0.641]
8.50
(32)
[-0.109]
28.31
(41)
[0.217]
65.70
(39)
[-0.149]
16.83
(39)
[0.305]
54.93
(36)
[-0.208]
50.40
(34)
[-0.250]
65.57
(34)
[-0.126]
66.85
(35)
[-0.138]
59.53
(42)
[-0.641]
76.91
(27)
[0.375]
9.89
(40)
[0.481]
 18.  luptarad's laws masks & kNN 1.0  [normal] CL 1 0 1 0  57.44 
 (46.47) 
 [-0.820] 
24.57
(46)
[-0.817]
4.40
(18)
[-0.640]
9.46
(34)
[-0.143]
58.04
(47)
[1.088]
55.34
(47)
[0.988]
51.04
(47)
[0.733]
47.53
(39)
[0.153]
36.75
(48)
[-0.975]
49.97
(49)
[-0.779]
51.28
(51)
[-1.083]
50.03
(50)
[0.792]
7.75
(45)
[0.525]
45.09
(52)
[-0.994]
24.95
(52)
[-1.063]
11.67
(51)
[1.204]
47.24
(52)
[-0.997]
33.82
(49)
[1.080]
28.69
(50)
[1.162]
54.77
(48)
[0.862]
49.64
(51)
[0.883]
59.71
(46)
[-0.687]
51.67
(44)
[-0.677]
48.01
(49)
[-0.924]
31.26
(48)
[0.940]
55.09
(48)
[-1.043]
13.10
(48)
[0.875]
43.21
(51)
[1.302]
47.59
(52)
[-1.242]
22.73
(49)
[1.042]
41.16
(46)
[-0.894]
39.98
(45)
[-0.817]
54.99
(45)
[-0.788]
56.46
(45)
[-0.821]
49.53
(50)
[-1.219]
66.56
(39)
[-0.230]
10.40
(42)
[0.626]
 19.  siddharth's My algo1 0.1  [normal] 0 0 0 0  46.12 
 (52.00) 
 [-1.469] 
6.21
(58)
[-1.568]
4.72
(19)
[-0.624]
1.24
(7)
[-0.880]
86.25
(59)
[2.166]
86.52
(59)
[2.189]
59.41
(51)
[1.064]
70.16
(44)
[0.826]
31.76
(52)
[-1.199]
40.60
(52)
[-1.220]
61.24
(48)
[-0.624]
59.41
(52)
[1.235]
7.01
(42)
[0.362]
45.21
(51)
[-0.989]
20.36
(53)
[-1.229]
9.33
(47)
[0.628]
47.85
(51)
[-0.968]
51.10
(58)
[2.417]
46.25
(58)
[2.649]
70.95
(57)
[1.795]
66.10
(56)
[1.869]
40.60
(56)
[-1.932]
30.85
(57)
[-1.885]
32.95
(57)
[-1.811]
47.91
(58)
[2.424]
45.58
(56)
[-1.694]
19.24
(57)
[2.188]
54.43
(58)
[2.119]
36.40
(57)
[-1.917]
22.77
(50)
[1.047]
22.97
(58)
[-1.801]
22.58
(57)
[-1.762]
35.98
(57)
[-1.976]
37.05
(58)
[-2.097]
45.58
(53)
[-1.448]
30.81
(57)
[-2.321]
11.62
(52)
[0.973]
 20.  leskajur's LFM + kNN   [normal] CL 1 0 1 0  55.02 
 (47.75) 
 [-0.951] 
26.00
(45)
[-0.759]
5.01
(20)
[-0.609]
9.42
(33)
[-0.146]
60.96
(49)
[1.200]
59.65
(48)
[1.154]
66.89
(53)
[1.360]
60.33
(43)
[0.534]
31.40
(53)
[-1.215]
43.31
(51)
[-1.092]
48.73
(54)
[-1.200]
56.69
(51)
[1.107]
11.45
(52)
[1.344]
39.22
(54)
[-1.268]
14.96
(54)
[-1.422]
13.51
(55)
[1.658]
41.76
(54)
[-1.257]
33.27
(48)
[1.037]
27.61
(48)
[1.071]
54.71
(47)
[0.858]
49.05
(48)
[0.847]
59.22
(47)
[-0.719]
50.90
(46)
[-0.722]
48.17
(48)
[-0.914]
30.99
(46)
[0.916]
54.01
(49)
[-1.117]
12.73
(47)
[0.796]
41.80
(49)
[1.200]
48.43
(51)
[-1.191]
23.69
(52)
[1.161]
39.50
(48)
[-0.977]
39.26
(48)
[-0.856]
54.30
(47)
[-0.831]
55.74
(47)
[-0.868]
47.16
(51)
[-1.356]
67.36
(36)
[-0.184]
10.97
(47)
[0.788]
 21.  scarpa's TFR/KLD   [normal] 0 1 0 0  76.65 
 (27.53) 
 [0.273] 
51.25
(24)
[0.274]
5.84
(21)
[-0.567]
7.16
(27)
[-0.348]
31.64
(40)
[0.079]
31.38
(39)
[0.064]
19.65
(25)
[-0.509]
9.67
(12)
[-0.973]
67.45
(21)
[0.408]
76.40
(21)
[0.463]
81.12
(31)
[0.292]
23.60
(21)
[-0.458]
4.09
(31)
[-0.285]
75.80
(24)
[0.436]
65.19
(23)
[0.383]
7.21
(38)
[0.104]
77.21
(24)
[0.427]
20.36
(39)
[0.038]
14.36
(40)
[-0.049]
34.33
(23)
[-0.317]
28.34
(23)
[-0.393]
76.40
(21)
[0.401]
69.58
(22)
[0.361]
69.20
(23)
[0.324]
18.01
(28)
[-0.241]
74.35
(29)
[0.275]
7.63
(26)
[-0.296]
24.48
(35)
[-0.061]
71.43
(28)
[0.196]
12.64
(28)
[-0.219]
63.75
(27)
[0.232]
58.96
(27)
[0.214]
71.77
(26)
[0.261]
72.35
(28)
[0.223]
69.11
(37)
[-0.088]
76.80
(29)
[0.368]
8.38
(30)
[0.050]
 22.  test's Blobworld   [normal] 0 0 0 0  59.72 
 (44.83) 
 [-0.677] 
21.01
(48)
[-0.962]
7.33
(22)
[-0.491]
9.30
(31)
[-0.157]
59.55
(48)
[1.146]
61.68
(49)
[1.232]
41.45
(40)
[0.354]
58.94
(42)
[0.492]
46.23
(43)
[-0.548]
56.04
(45)
[-0.494]
73.62
(39)
[-0.054]
43.96
(46)
[0.505]
6.72
(41)
[0.296]
58.37
(43)
[-0.376]
40.36
(42)
[-0.510]
7.96
(41)
[0.288]
61.31
(42)
[-0.328]
31.16
(46)
[0.874]
23.19
(45)
[0.697]
56.72
(51)
[0.975]
48.75
(47)
[0.829]
56.04
(50)
[-0.926]
45.75
(50)
[-1.020]
48.66
(47)
[-0.885]
31.11
(47)
[0.927]
61.54
(42)
[-0.601]
12.33
(45)
[0.710]
32.70
(44)
[0.537]
57.36
(45)
[-0.652]
20.03
(47)
[0.704]
39.74
(47)
[-0.965]
36.22
(50)
[-1.021]
51.87
(50)
[-0.983]
52.90
(49)
[-1.055]
55.64
(45)
[-0.866]
52.32
(52)
[-1.063]
12.18
(53)
[1.133]
 23.  pavelm10's base   [large] 0 0 0 0  57.57 
 (46.19) 
 [-0.814] 
15.03
(51)
[-1.207]
7.45
(23)
[-0.485]
5.73
(21)
[-0.477]
71.45
(52)
[1.601]
70.33
(52)
[1.565]
42.80
(41)
[0.407]
43.04
(35)
[0.019]
44.01
(44)
[-0.648]
57.43
(44)
[-0.429]
63.10
(47)
[-0.539]
42.57
(44)
[0.439]
8.47
(46)
[0.684]
57.00
(44)
[-0.440]
36.17
(46)
[-0.660]
8.11
(42)
[0.327]
58.55
(44)
[-0.459]
41.99
(54)
[1.712]
33.47
(54)
[1.567]
56.18
(50)
[0.944]
47.66
(46)
[0.764]
57.43
(49)
[-0.835]
46.82
(49)
[-0.959]
46.31
(50)
[-1.024]
35.13
(51)
[1.285]
56.79
(47)
[-0.927]
13.15
(49)
[0.884]
44.70
(52)
[1.410]
51.24
(50)
[-1.022]
19.90
(46)
[0.688]
39.36
(49)
[-0.984]
36.47
(49)
[-1.007]
52.04
(49)
[-0.972]
52.32
(50)
[-1.093]
51.41
(48)
[-1.111]
53.79
(50)
[-0.978]
10.55
(45)
[0.669]
 24.  kamenluk's kamenluk test  [normal] 0 0 0 0  59.94 
 (43.83) 
 [-0.684] 
21.74
(47)
[-0.933]
8.14
(24)
[-0.449]
2.07
(12)
[-0.805]
67.75
(51)
[1.459]
65.81
(51)
[1.391]
40.75
(38)
[0.326]
40.94
(34)
[-0.043]
47.30
(42)
[-0.500]
59.89
(42)
[-0.313]
67.76
(43)
[-0.324]
40.11
(42)
[0.323]
7.20
(43)
[0.404]
59.69
(40)
[-0.314]
39.86
(43)
[-0.528]
8.99
(46)
[0.544]
61.64
(40)
[-0.313]
39.70
(53)
[1.535]
30.66
(51)
[1.329]
54.15
(46)
[0.826]
45.11
(44)
[0.611]
59.89
(45)
[-0.675]
49.53
(48)
[-0.802]
48.70
(46)
[-0.883]
33.50
(49)
[1.139]
57.31
(46)
[-0.891]
12.57
(46)
[0.761]
42.33
(50)
[1.238]
53.02
(48)
[-0.915]
19.50
(44)
[0.637]
42.13
(44)
[-0.846]
39.76
(46)
[-0.829]
54.66
(46)
[-0.809]
54.92
(48)
[-0.922]
54.52
(47)
[-0.931]
55.84
(45)
[-0.858]
11.02
(48)
[0.803]
 25.  test's HGS  [normal] 0 0 0 0  60.24 
 (45.28) 
 [-0.887] 
27.57
(42)
[-0.694]
8.63
(25)
[-0.424]
45.82
(58)
[3.119]
27.22
(36)
[-0.090]
26.54
(34)
[-0.122]
53.84
(49)
[0.844]
35.44
(32)
[-0.207]
43.74
(45)
[-0.660]
58.05
(43)
[-0.399]
56.48
(49)
[-0.844]
41.95
(43)
[0.410]
19.99
(59)
[3.234]
51.11
(46)
[-0.714]
37.41
(45)
[-0.616]
19.29
(59)
[3.084]
53.33
(47)
[-0.708]
17.20
(34)
[-0.206]
13.62
(38)
[-0.112]
53.08
(45)
[0.764]
49.49
(49)
[0.874]
58.05
(48)
[-0.795]
54.07
(40)
[-0.538]
48.87
(45)
[-0.873]
27.12
(44)
[0.571]
53.36
(50)
[-1.161]
14.08
(51)
[1.084]
34.51
(46)
[0.669]
51.59
(49)
[-1.001]
35.99
(59)
[2.697]
36.13
(50)
[-1.145]
40.54
(44)
[-0.786]
54.16
(48)
[-0.840]
58.24
(44)
[-0.704]
44.09
(54)
[-1.534]
82.17
(21)
[0.682]
16.69
(59)
[2.421]
 26.  veselj38's Histogram ratio features 1.21  [normal] CL 1 0 0 0  48.48 
 (47.69) 
 [-1.188] 
20.64
(49)
[-0.978]
8.84
(26)
[-0.413]
5.46
(20)
[-0.501]
62.70
(50)
[1.266]
62.78
(50)
[1.274]
95.42
(57)
[2.488]
94.85
(51)
[1.561]
9.45
(57)
[-2.204]
13.85
(57)
[-2.477]
17.65
(57)
[-2.632]
86.15
(57)
[2.499]
13.72
(56)
[1.847]
13.61
(57)
[-2.460]
-19.75
(58)
[-2.670]
10.26
(49)
[0.858]
14.53
(57)
[-2.551]
37.36
(50)
[1.354]
28.64
(49)
[1.159]
52.75
(44)
[0.746]
44.03
(43)
[0.547]
62.26
(42)
[-0.521]
50.86
(47)
[-0.724]
51.47
(44)
[-0.720]
30.55
(45)
[0.877]
60.33
(44)
[-0.684]
12.01
(44)
[0.642]
40.10
(48)
[1.076]
56.09
(47)
[-0.729]
17.96
(43)
[0.446]
44.52
(43)
[-0.727]
39.60
(47)
[-0.838]
55.83
(44)
[-0.735]
56.19
(46)
[-0.838]
57.90
(43)
[-0.736]
55.22
(46)
[-0.894]
11.44
(50)
[0.923]
 27.  felipecalderero's GSRM sup. KL area-weighted  [normal] 0 0 1 0  85.76 
 (14.28) 
 [0.838] 
68.72
(13)
[0.988]
9.00
(27)
[-0.405]
6.67
(25)
[-0.392]
15.09
(26)
[-0.554]
15.16
(25)
[-0.560]
7.74
(11)
[-0.979]
6.79
(6)
[-1.059]
78.90
(12)
[0.923]
84.74
(12)
[0.855]
89.30
(16)
[0.669]
15.26
(12)
[-0.852]
2.10
(15)
[-0.726]
85.01
(12)
[0.865]
77.12
(13)
[0.811]
4.54
(20)
[-0.554]
85.98
(12)
[0.844]
13.29
(24)
[-0.509]
6.93
(19)
[-0.678]
22.51
(11)
[-0.999]
16.16
(9)
[-1.123]
84.74
(12)
[0.944]
80.09
(12)
[0.971]
80.13
(12)
[0.968]
10.88
(14)
[-0.876]
84.38
(12)
[0.962]
4.29
(7)
[-1.009]
14.22
(11)
[-0.807]
84.50
(9)
[0.985]
6.84
(12)
[-0.943]
78.95
(12)
[0.989]
73.34
(11)
[0.996]
83.20
(12)
[0.976]
83.40
(12)
[0.950]
84.46
(16)
[0.799]
82.76
(18)
[0.717]
4.96
(12)
[-0.927]
 28.  test's HGS  [normal] 0 0 0 0  65.01 
 (41.19) 
 [-0.485] 
29.81
(39)
[-0.603]
10.69
(28)
[-0.319]
33.76
(56)
[2.037]
26.89
(34)
[-0.103]
25.04
(32)
[-0.180]
48.94
(46)
[0.650]
32.39
(31)
[-0.298]
49.60
(41)
[-0.396]
63.37
(39)
[-0.149]
66.09
(44)
[-0.401]
36.63
(39)
[0.158]
13.51
(55)
[1.799]
58.74
(42)
[-0.358]
46.63
(41)
[-0.284]
13.31
(54)
[1.610]
61.17
(43)
[-0.335]
16.75
(33)
[-0.241]
10.46
(30)
[-0.379]
49.80
(41)
[0.575]
43.51
(41)
[0.515]
63.37
(40)
[-0.448]
57.52
(37)
[-0.338]
53.33
(43)
[-0.611]
22.90
(38)
[0.195]
58.60
(45)
[-0.802]
9.46
(36)
[0.097]
30.28
(43)
[0.361]
57.28
(46)
[-0.657]
27.95
(56)
[1.693]
41.52
(45)
[-0.876]
43.98
(42)
[-0.599]
58.92
(42)
[-0.542]
62.21
(41)
[-0.443]
50.58
(49)
[-1.159]
81.27
(22)
[0.630]
11.42
(49)
[0.918]
 29.  frzn's texNCUT   [large] 0 0 1 0  87.01 
 (12.17) 
 [0.908] 
72.54
(9)
[1.144]
10.92
(29)
[-0.307]
9.61
(35)
[-0.129]
10.25
(19)
[-0.739]
9.83
(18)
[-0.766]
7.33
(9)
[-0.996]
8.17
(8)
[-1.018]
80.58
(9)
[0.999]
86.89
(8)
[0.956]
88.28
(20)
[0.622]
13.11
(8)
[-0.953]
2.36
(18)
[-0.667]
86.39
(10)
[0.929]
80.33
(10)
[0.927]
3.69
(12)
[-0.763]
86.97
(10)
[0.891]
11.92
(20)
[-0.614]
6.85
(18)
[-0.685]
20.64
(8)
[-1.107]
15.56
(6)
[-1.158]
86.89
(8)
[1.084]
82.46
(8)
[1.108]
81.90
(9)
[1.072]
9.18
(9)
[-1.028]
84.35
(13)
[0.960]
4.30
(8)
[-1.008]
14.49
(12)
[-0.788]
84.14
(10)
[0.963]
6.03
(9)
[-1.044]
81.48
(9)
[1.115]
75.77
(8)
[1.128]
85.35
(8)
[1.110]
85.50
(9)
[1.088]
84.76
(15)
[0.816]
86.57
(10)
[0.940]
4.49
(9)
[-1.060]
 30.  felipecalderero's GSRM MARKOV sup. KL area-weighted  [normal] 0 0 1 0  85.13 
 (16.06) 
 [0.797] 
67.55
(14)
[0.940]
11.36
(30)
[-0.285]
9.11
(30)
[-0.174]
12.58
(23)
[-0.650]
13.54
(23)
[-0.623]
7.81
(12)
[-0.977]
8.42
(9)
[-1.011]
78.07
(13)
[0.886]
84.30
(13)
[0.834]
87.19
(24)
[0.571]
15.70
(13)
[-0.831]
2.91
(21)
[-0.545]
84.32
(14)
[0.833]
76.44
(15)
[0.787]
4.26
(15)
[-0.622]
85.01
(14)
[0.798]
13.33
(25)
[-0.506]
7.21
(20)
[-0.655]
23.13
(13)
[-0.963]
17.01
(10)
[-1.072]
84.30
(13)
[0.915]
79.53
(14)
[0.939]
79.83
(13)
[0.950]
10.85
(13)
[-0.879]
84.77
(11)
[0.989]
4.41
(12)
[-0.985]
14.60
(14)
[-0.780]
83.91
(12)
[0.950]
7.61
(14)
[-0.847]
77.27
(15)
[0.905]
71.45
(14)
[0.893]
82.06
(15)
[0.905]
82.33
(15)
[0.880]
82.59
(18)
[0.691]
82.65
(19)
[0.710]
5.06
(15)
[-0.898]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.56
±24.46
criterion 'OS' (over-segmentation) in ascending orderOS
16.94
±19.58
US
11.05
±11.15
ME
29.58
±26.16
NE
29.70
±25.96
O
32.51
±25.28
C
42.39
±33.61
CA
58.40
±22.21
CO
66.55
±21.27
CC
74.79
±21.71
I
33.28
±21.16
II
5.38
±4.52
EA
66.44
±21.47
MS
54.54
±27.82
RM
6.79
±4.05
CI
68.22
±21.04
GCE
19.86
±12.92
LCE
14.94
±11.82
BCE
39.83
±17.34
GBCE
34.90
±16.69
BGM
70.25
±15.35
SC
63.35
±17.24
SSC
63.69
±16.98
VD
20.71
±11.22
L
70.32
±14.61
AVI
9.01
±4.67
NVI
25.32
±13.74
NMI
68.17
±16.57
M
14.39
±8.01
ARI
59.11
±20.07
JC
55.01
±18.40
DC
67.59
±16.00
FMI
68.95
±15.21
WI
70.64
±17.31
WII
70.50
±17.10
NBDE
8.21
±3.50
 31.  sylvia's TEX-ROI-SEG 1.0  [normal] 0 0 0 0  80.15 
 (21.75) 
 [0.482] 
56.37
(18)
[0.483]
11.93
(31)
[-0.256]
19.79
(50)
[0.784]
11.55
(21)
[-0.689]
10.29
(20)
[-0.748]
18.21
(23)
[-0.565]
9.63
(11)
[-0.975]
69.45
(20)
[0.498]
78.26
(18)
[0.551]
81.24
(30)
[0.297]
21.74
(18)
[-0.546]
4.16
(32)
[-0.270]
76.31
(20)
[0.460]
68.88
(20)
[0.515]
7.37
(39)
[0.144]
77.86
(20)
[0.459]
11.99
(21)
[-0.609]
6.71
(17)
[-0.697]
30.48
(17)
[-0.539]
25.20
(18)
[-0.581]
78.26
(19)
[0.522]
73.70
(17)
[0.600]
72.48
(19)
[0.517]
13.66
(17)
[-0.628]
76.83
(19)
[0.446]
5.74
(16)
[-0.699]
18.34
(23)
[-0.508]
78.12
(20)
[0.600]
11.74
(26)
[-0.332]
68.74
(20)
[0.480]
63.73
(19)
[0.473]
75.91
(19)
[0.520]
77.00
(19)
[0.529]
73.11
(33)
[0.143]
83.24
(17)
[0.745]
5.45
(16)
[-0.785]
 32.  Alojz's TAlgorithm 0.1  [normal] 0 0 1 0  52.97 
 (50.31) 
 [-1.190] 
13.11
(52)
[-1.285]
11.94
(32)
[-0.255]
8.18
(28)
[-0.257]
76.71
(55)
[1.802]
77.30
(55)
[1.834]
44.41
(43)
[0.471]
46.76
(38)
[0.130]
40.40
(46)
[-0.810]
52.42
(47)
[-0.664]
63.23
(46)
[-0.533]
47.58
(48)
[0.676]
12.47
(54)
[1.569]
52.83
(45)
[-0.634]
31.07
(48)
[-0.844]
14.09
(56)
[1.802]
55.02
(46)
[-0.627]
45.06
(57)
[1.950]
37.72
(55)
[1.927]
61.44
(53)
[1.247]
54.10
(52)
[1.150]
52.42
(52)
[-1.162]
41.97
(52)
[-1.240]
41.82
(51)
[-1.288]
39.59
(56)
[1.682]
51.93
(51)
[-1.259]
18.79
(56)
[2.091]
47.89
(54)
[1.643]
44.63
(53)
[-1.420]
25.93
(54)
[1.440]
32.97
(52)
[-1.302]
31.47
(53)
[-1.279]
45.98
(53)
[-1.351]
46.62
(54)
[-1.467]
46.86
(52)
[-1.374]
47.76
(54)
[-1.330]
15.50
(58)
[2.082]
 33.  cpanag@csd.uoc.gr's VRA-PMCFA   [large] 0 0 0 0  89.36 
 (8.03) 
 [1.057] 
75.14
(7)
[1.250]
12.13
(33)
[-0.246]
9.85
(38)
[-0.108]
4.38
(9)
[-0.964]
4.37
(7)
[-0.976]
4.51
(4)
[-1.107]
8.89
(10)
[-0.997]
83.45
(6)
[1.128]
88.12
(5)
[1.014]
90.73
(14)
[0.734]
11.88
(5)
[-1.011]
1.48
(10)
[-0.863]
88.07
(6)
[1.008]
83.92
(7)
[1.056]
3.75
(14)
[-0.749]
88.72
(7)
[0.974]
6.55
(6)
[-1.030]
3.90
(5)
[-0.934]
17.51
(5)
[-1.287]
14.86
(5)
[-1.201]
88.12
(5)
[1.164]
84.63
(5)
[1.234]
84.95
(5)
[1.252]
7.59
(5)
[-1.169]
87.58
(7)
[1.181]
3.25
(4)
[-1.233]
9.89
(4)
[-1.123]
88.52
(4)
[1.227]
4.76
(5)
[-1.204]
84.94
(5)
[1.287]
79.62
(6)
[1.337]
87.84
(5)
[1.266]
88.25
(6)
[1.269]
88.92
(9)
[1.057]
88.43
(6)
[1.048]
3.40
(5)
[-1.372]
 34.  yuanj's FSEG 3.0  [large] 0 0 0 0  84.47 
 (16.89) 
 [0.742] 
69.24
(12)
[1.009]
12.28
(34)
[-0.238]
17.03
(49)
[0.536]
7.71
(15)
[-0.836]
6.89
(12)
[-0.879]
11.66
(15)
[-0.824]
11.71
(14)
[-0.913]
76.32
(15)
[0.807]
84.05
(14)
[0.823]
84.15
(26)
[0.431]
15.95
(14)
[-0.819]
3.29
(24)
[-0.461]
82.53
(15)
[0.750]
77.11
(14)
[0.811]
5.00
(26)
[-0.441]
83.26
(15)
[0.715]
10.75
(16)
[-0.705]
7.52
(22)
[-0.628]
24.10
(14)
[-0.907]
20.87
(14)
[-0.841]
84.05
(14)
[0.899]
79.66
(13)
[0.946]
78.46
(15)
[0.870]
10.68
(11)
[-0.894]
80.37
(16)
[0.688]
5.17
(14)
[-0.822]
16.53
(17)
[-0.640]
80.60
(15)
[0.750]
7.88
(15)
[-0.813]
77.38
(14)
[0.910]
71.30
(15)
[0.885]
82.36
(13)
[0.923]
82.95
(14)
[0.921]
80.29
(20)
[0.558]
86.86
(9)
[0.957]
4.99
(13)
[-0.918]
 35.  xiaofang's sas_gmm(color) c=7  [normal] 0 0 1 0  86.71 
 (12.97) 
 [0.882] 
66.88
(15)
[0.912]
13.63
(35)
[-0.169]
11.93
(43)
[0.080]
8.46
(16)
[-0.807]
8.44
(16)
[-0.819]
4.92
(5)
[-1.091]
6.97
(7)
[-1.054]
79.87
(11)
[0.967]
85.76
(11)
[0.903]
88.16
(22)
[0.616]
14.24
(11)
[-0.900]
2.36
(19)
[-0.666]
85.72
(11)
[0.898]
78.65
(11)
[0.866]
4.45
(17)
[-0.577]
86.33
(11)
[0.861]
11.00
(17)
[-0.686]
5.90
(12)
[-0.765]
21.14
(10)
[-1.078]
16.05
(8)
[-1.129]
85.76
(11)
[1.010]
81.49
(9)
[1.052]
81.61
(10)
[1.055]
9.50
(10)
[-0.999]
85.88
(8)
[1.065]
3.88
(5)
[-1.097]
13.10
(9)
[-0.889]
85.65
(6)
[1.054]
6.52
(10)
[-0.984]
80.86
(10)
[1.084]
75.31
(9)
[1.103]
85.05
(10)
[1.091]
85.32
(10)
[1.076]
85.89
(13)
[0.881]
85.29
(12)
[0.865]
5.58
(17)
[-0.751]
 36.  v-andrearczyk's FCNT unsup.  [large] 0 0 0 0  89.21 
 (7.67) 
 [1.058] 
79.34
(5)
[1.422]
13.67
(36)
[-0.167]
6.25
(22)
[-0.430]
3.80
(5)
[-0.986]
3.80
(4)
[-0.998]
6.48
(6)
[-1.030]
22.88
(24)
[-0.580]
84.17
(5)
[1.161]
87.97
(6)
[1.007]
94.15
(7)
[0.892]
12.03
(6)
[-1.005]
1.42
(9)
[-0.876]
88.97
(5)
[1.050]
85.23
(5)
[1.103]
3.12
(8)
[-0.905]
89.91
(5)
[1.031]
6.46
(5)
[-1.037]
4.75
(6)
[-0.863]
17.73
(6)
[-1.275]
16.02
(7)
[-1.131]
87.97
(7)
[1.154]
84.11
(6)
[1.204]
84.85
(6)
[1.246]
7.79
(6)
[-1.151]
88.53
(5)
[1.246]
3.93
(6)
[-1.087]
10.70
(6)
[-1.064]
86.81
(5)
[1.125]
4.88
(6)
[-1.189]
84.85
(6)
[1.283]
80.02
(5)
[1.359]
87.75
(6)
[1.260]
88.28
(5)
[1.270]
90.69
(7)
[1.159]
87.01
(8)
[0.965]
3.32
(4)
[-1.395]
 37.  xiaofang's SR_multifeat all  [normal] 0 0 1 0  77.58 
 (26.03) 
 [0.329] 
45.57
(28)
[0.041]
14.56
(37)
[-0.121]
27.86
(55)
[1.508]
17.99
(27)
[-0.443]
17.58
(27)
[-0.467]
14.76
(18)
[-0.702]
20.63
(22)
[-0.647]
65.36
(27)
[0.314]
76.12
(23)
[0.450]
76.95
(35)
[0.100]
23.88
(23)
[-0.444]
5.18
(39)
[-0.043]
73.17
(29)
[0.314]
64.18
(26)
[0.346]
7.49
(40)
[0.173]
74.36
(30)
[0.292]
14.68
(26)
[-0.401]
9.40
(29)
[-0.469]
32.16
(20)
[-0.442]
26.88
(21)
[-0.480]
76.12
(23)
[0.382]
71.39
(19)
[0.467]
70.07
(21)
[0.375]
15.46
(21)
[-0.468]
76.62
(21)
[0.431]
5.91
(18)
[-0.663]
19.57
(28)
[-0.418]
77.52
(22)
[0.564]
11.17
(23)
[-0.403]
68.58
(21)
[0.472]
62.59
(20)
[0.412]
75.81
(20)
[0.514]
76.54
(20)
[0.499]
72.03
(35)
[0.081]
82.58
(20)
[0.706]
7.63
(23)
[-0.164]
 38.  xiaofang's sas originial  [normal] 0 0 0 0  76.67 
 (27.17) 
 [0.293] 
41.42
(31)
[-0.128]
15.04
(38)
[-0.097]
12.48
(45)
[0.129]
27.64
(37)
[-0.074]
26.92
(35)
[-0.107]
17.80
(21)
[-0.582]
15.13
(17)
[-0.811]
66.53
(24)
[0.366]
75.75
(24)
[0.433]
82.19
(27)
[0.341]
24.25
(24)
[-0.427]
4.17
(33)
[-0.267]
76.10
(22)
[0.450]
63.63
(28)
[0.327]
6.72
(34)
[-0.016]
77.48
(21)
[0.440]
20.47
(40)
[0.047]
11.25
(31)
[-0.312]
35.25
(25)
[-0.264]
26.03
(19)
[-0.532]
75.75
(24)
[0.358]
68.47
(25)
[0.297]
68.43
(25)
[0.279]
17.13
(25)
[-0.320]
75.42
(25)
[0.349]
6.47
(20)
[-0.544]
21.84
(33)
[-0.253]
76.07
(23)
[0.476]
11.22
(24)
[-0.397]
66.22
(23)
[0.354]
59.42
(24)
[0.239]
73.37
(23)
[0.361]
73.72
(23)
[0.314]
74.33
(30)
[0.214]
73.83
(30)
[0.195]
8.02
(25)
[-0.054]
 38.  xiaofang's LocalGlobalGraph color  [normal] 0 1 0 0  76.67 
 (27.17) 
 [0.293] 
41.42
(31)
[-0.128]
15.04
(38)
[-0.097]
12.48
(45)
[0.129]
27.64
(37)
[-0.074]
26.92
(35)
[-0.107]
17.80
(21)
[-0.582]
15.13
(17)
[-0.811]
66.53
(24)
[0.366]
75.75
(24)
[0.433]
82.19
(27)
[0.341]
24.25
(24)
[-0.427]
4.17
(33)
[-0.267]
76.10
(22)
[0.450]
63.63
(28)
[0.327]
6.72
(34)
[-0.016]
77.48
(21)
[0.440]
20.47
(40)
[0.047]
11.25
(31)
[-0.312]
35.25
(25)
[-0.264]
26.03
(19)
[-0.532]
75.75
(24)
[0.358]
68.47
(25)
[0.297]
68.43
(25)
[0.279]
17.13
(25)
[-0.320]
75.42
(25)
[0.349]
6.47
(20)
[-0.544]
21.84
(33)
[-0.253]
76.07
(23)
[0.476]
11.22
(24)
[-0.397]
66.22
(23)
[0.354]
59.42
(24)
[0.239]
73.37
(23)
[0.361]
73.72
(23)
[0.314]
74.33
(30)
[0.214]
73.83
(30)
[0.195]
8.02
(25)
[-0.054]
 40.  chaththa85's ImprvGMRF  [normal] 0 0 1 0  75.46 
 (29.53) 
 [0.227] 
49.02
(25)
[0.182]
15.06
(40)
[-0.096]
10.82
(40)
[-0.020]
21.44
(31)
[-0.311]
22.76
(31)
[-0.268]
22.06
(28)
[-0.413]
26.87
(27)
[-0.462]
64.74
(28)
[0.286]
73.95
(27)
[0.348]
79.03
(33)
[0.196]
26.05
(27)
[-0.342]
3.99
(30)
[-0.307]
73.98
(27)
[0.351]
60.92
(31)
[0.229]
6.01
(28)
[-0.192]
75.18
(28)
[0.331]
23.07
(42)
[0.248]
15.90
(42)
[0.081]
36.10
(28)
[-0.215]
28.92
(24)
[-0.358]
73.95
(27)
[0.241]
67.21
(28)
[0.224]
67.44
(28)
[0.221]
18.67
(30)
[-0.182]
72.20
(31)
[0.128]
8.14
(28)
[-0.186]
27.33
(39)
[0.146]
70.26
(30)
[0.126]
10.99
(22)
[-0.425]
66.08
(25)
[0.347]
59.42
(26)
[0.239]
73.13
(25)
[0.346]
73.46
(26)
[0.297]
76.08
(27)
[0.315]
71.54
(33)
[0.061]
6.76
(21)
[-0.411]
 41.  felipecalderero's GSRM MARKOV unsup. KL area-weighted  [normal] 0 0 0 0  76.16 
 (28.36) 
 [0.231] 
54.70
(19)
[0.415]
15.14
(41)
[-0.092]
23.71
(51)
[1.136]
5.49
(10)
[-0.921]
4.55
(8)
[-0.969]
24.79
(30)
[-0.305]
31.43
(30)
[-0.326]
63.98
(30)
[0.251]
71.55
(30)
[0.235]
75.39
(37)
[0.027]
28.45
(30)
[-0.228]
4.53
(36)
[-0.187]
69.79
(32)
[0.156]
61.55
(30)
[0.252]
8.77
(45)
[0.489]
71.46
(34)
[0.154]
6.75
(7)
[-1.015]
4.81
(7)
[-0.857]
35.49
(27)
[-0.250]
33.56
(30)
[-0.080]
71.55
(32)
[0.084]
67.70
(27)
[0.253]
67.48
(27)
[0.223]
16.16
(23)
[-0.406]
73.83
(30)
[0.240]
6.79
(23)
[-0.476]
19.22
(26)
[-0.444]
74.98
(26)
[0.410]
17.61
(42)
[0.402]
61.29
(29)
[0.109]
57.57
(28)
[0.139]
69.20
(29)
[0.100]
72.50
(27)
[0.234]
73.38
(32)
[0.159]
80.01
(23)
[0.556]
9.00
(33)
[0.226]
 42.  felipecalderero's GSRM unsup. KL area-weighted  [normal] 0 0 0 0  77.65 
 (25.72) 
 [0.363] 
54.05
(20)
[0.388]
15.88
(42)
[-0.054]
14.45
(47)
[0.305]
13.62
(24)
[-0.610]
14.03
(24)
[-0.604]
23.44
(29)
[-0.358]
26.47
(26)
[-0.474]
66.75
(23)
[0.376]
73.67
(28)
[0.335]
81.41
(29)
[0.305]
26.33
(28)
[-0.329]
3.35
(25)
[-0.448]
73.14
(30)
[0.312]
65.75
(22)
[0.403]
6.76
(36)
[-0.008]
75.09
(29)
[0.327]
8.88
(13)
[-0.850]
5.98
(13)
[-0.759]
33.93
(22)
[-0.340]
31.03
(26)
[-0.232]
73.67
(28)
[0.223]
68.93
(23)
[0.324]
69.15
(24)
[0.321]
15.95
(22)
[-0.425]
74.85
(28)
[0.310]
6.93
(24)
[-0.446]
17.65
(20)
[-0.558]
78.09
(21)
[0.598]
12.36
(27)
[-0.254]
64.94
(26)
[0.291]
60.71
(23)
[0.310]
71.13
(27)
[0.221]
73.53
(25)
[0.301]
76.97
(25)
[0.366]
76.81
(28)
[0.369]
6.29
(19)
[-0.546]
 43.  emkay's A3M 1.0  [large] 0 0 0 0  88.21 
 (9.72) 
 [0.998] 
77.73
(6)
[1.356]
15.92
(43)
[-0.052]
6.31
(23)
[-0.424]
3.93
(6)
[-0.981]
3.92
(6)
[-0.994]
7.68
(10)
[-0.982]
24.24
(25)
[-0.540]
82.80
(7)
[1.099]
86.89
(9)
[0.956]
93.65
(8)
[0.869]
13.11
(9)
[-0.953]
1.50
(11)
[-0.858]
88.03
(7)
[1.006]
83.98
(6)
[1.058]
3.27
(11)
[-0.868]
89.03
(6)
[0.989]
7.40
(8)
[-0.965]
5.62
(10)
[-0.789]
19.31
(7)
[-1.183]
17.53
(11)
[-1.041]
86.89
(9)
[1.083]
82.57
(7)
[1.115]
83.49
(7)
[1.166]
8.57
(7)
[-1.082]
87.67
(6)
[1.188]
4.39
(11)
[-0.988]
11.86
(7)
[-0.980]
85.28
(7)
[1.032]
5.30
(7)
[-1.135]
83.46
(7)
[1.213]
78.26
(7)
[1.263]
86.61
(7)
[1.189]
87.16
(7)
[1.197]
89.88
(8)
[1.112]
85.64
(11)
[0.885]
3.51
(6)
[-1.340]
 44.  cbampis's GRPNMF   [large] 0 0 0 0  84.98 
 (15.97) 
 [0.787] 
69.50
(11)
[1.020]
16.05
(44)
[-0.045]
9.90
(39)
[-0.103]
5.74
(12)
[-0.912]
5.89
(11)
[-0.918]
10.33
(14)
[-0.877]
18.35
(21)
[-0.715]
77.92
(14)
[0.879]
84.00
(15)
[0.820]
88.41
(19)
[0.628]
16.00
(15)
[-0.817]
2.26
(17)
[-0.690]
84.39
(13)
[0.836]
78.57
(12)
[0.864]
4.34
(16)
[-0.604]
85.24
(13)
[0.809]
10.61
(14)
[-0.716]
7.69
(23)
[-0.614]
24.22
(15)
[-0.900]
21.30
(15)
[-0.815]
84.00
(15)
[0.895]
78.67
(15)
[0.889]
79.21
(14)
[0.914]
10.80
(12)
[-0.883]
83.08
(14)
[0.873]
5.39
(15)
[-0.774]
15.83
(15)
[-0.691]
81.02
(13)
[0.775]
7.42
(13)
[-0.871]
77.88
(13)
[0.936]
71.59
(13)
[0.901]
82.22
(14)
[0.915]
82.96
(13)
[0.921]
83.80
(17)
[0.760]
83.76
(16)
[0.775]
4.73
(10)
[-0.992]
 45.  david0432's Cooperative Mum-Shah   [normal] 0 0 1 0  80.21 
 (21.78) 
 [0.503] 
53.73
(21)
[0.375]
16.29
(45)
[-0.033]
11.76
(42)
[0.064]
18.57
(28)
[-0.421]
18.66
(28)
[-0.426]
12.55
(16)
[-0.789]
16.85
(20)
[-0.760]
71.58
(19)
[0.594]
78.99
(17)
[0.585]
84.91
(25)
[0.466]
21.01
(17)
[-0.580]
3.11
(22)
[-0.502]
79.39
(18)
[0.603]
70.84
(19)
[0.586]
6.45
(32)
[-0.084]
80.61
(18)
[0.589]
16.29
(30)
[-0.276]
8.88
(27)
[-0.513]
30.80
(18)
[-0.521]
23.38
(16)
[-0.690]
78.99
(18)
[0.569]
72.83
(18)
[0.550]
73.35
(17)
[0.568]
14.43
(19)
[-0.559]
79.26
(18)
[0.612]
5.92
(19)
[-0.661]
18.40
(24)
[-0.503]
78.23
(19)
[0.607]
10.09
(19)
[-0.538]
70.52
(18)
[0.569]
64.26
(17)
[0.502]
76.88
(17)
[0.581]
77.31
(18)
[0.550]
77.60
(23)
[0.402]
77.93
(24)
[0.434]
6.15
(18)
[-0.587]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.56
±24.46
criterion 'OS' (over-segmentation) in ascending orderOS
16.94
±19.58
US
11.05
±11.15
ME
29.58
±26.16
NE
29.70
±25.96
O
32.51
±25.28
C
42.39
±33.61
CA
58.40
±22.21
CO
66.55
±21.27
CC
74.79
±21.71
I
33.28
±21.16
II
5.38
±4.52
EA
66.44
±21.47
MS
54.54
±27.82
RM
6.79
±4.05
CI
68.22
±21.04
GCE
19.86
±12.92
LCE
14.94
±11.82
BCE
39.83
±17.34
GBCE
34.90
±16.69
BGM
70.25
±15.35
SC
63.35
±17.24
SSC
63.69
±16.98
VD
20.71
±11.22
L
70.32
±14.61
AVI
9.01
±4.67
NVI
25.32
±13.74
NMI
68.17
±16.57
M
14.39
±8.01
ARI
59.11
±20.07
JC
55.01
±18.40
DC
67.59
±16.00
FMI
68.95
±15.21
WI
70.64
±17.31
WII
70.50
±17.10
NBDE
8.21
±3.50
 46.  mevenkamp's PCA-MS   [large] 0 0 0 0  87.45 
 (11.06) 
 [0.931] 
72.27
(10)
[1.133]
18.33
(46)
[0.071]
9.41
(32)
[-0.147]
4.19
(7)
[-0.971]
3.92
(5)
[-0.994]
7.25
(8)
[-0.999]
6.44
(5)
[-1.070]
81.13
(8)
[1.024]
85.96
(10)
[0.912]
91.24
(12)
[0.758]
14.04
(10)
[-0.909]
1.59
(12)
[-0.837]
87.08
(9)
[0.961]
81.84
(8)
[0.981]
4.45
(18)
[-0.577]
87.81
(9)
[0.931]
8.33
(11)
[-0.892]
5.61
(9)
[-0.789]
21.00
(9)
[-1.086]
18.28
(12)
[-0.996]
85.96
(10)
[1.023]
81.30
(10)
[1.041]
82.16
(8)
[1.087]
9.06
(8)
[-1.039]
85.54
(9)
[1.042]
4.31
(9)
[-1.006]
13.22
(10)
[-0.881]
84.78
(8)
[1.002]
5.88
(8)
[-1.063]
81.62
(8)
[1.122]
75.30
(10)
[1.103]
85.25
(9)
[1.104]
85.71
(8)
[1.102]
88.20
(10)
[1.015]
84.18
(15)
[0.800]
3.98
(8)
[-1.206]
 47.  test's EGBIS   [normal] 0 0 0 0  66.03 
 (38.97) 
 [-0.334] 
28.78
(41)
[-0.645]
19.69
(47)
[0.141]
39.15
(57)
[2.521]
20.42
(30)
[-0.350]
21.54
(30)
[-0.315]
44.35
(42)
[0.468]
82.87
(46)
[1.204]
51.10
(40)
[-0.328]
64.12
(37)
[-0.114]
72.73
(41)
[-0.095]
35.88
(37)
[0.123]
7.59
(44)
[0.489]
59.88
(39)
[-0.306]
49.03
(40)
[-0.198]
8.38
(43)
[0.392]
63.11
(39)
[-0.242]
16.64
(31)
[-0.250]
8.97
(28)
[-0.506]
46.67
(37)
[0.395]
39.00
(35)
[0.245]
64.12
(38)
[-0.400]
58.75
(36)
[-0.266]
56.28
(40)
[-0.436]
21.29
(36)
[0.051]
62.16
(41)
[-0.559]
8.58
(33)
[-0.093]
21.24
(30)
[-0.297]
66.50
(38)
[-0.101]
19.72
(45)
[0.666]
49.98
(42)
[-0.455]
46.39
(38)
[-0.469]
62.19
(38)
[-0.338]
64.19
(38)
[-0.313]
55.71
(44)
[-0.862]
76.97
(26)
[0.378]
13.05
(56)
[1.383]
 48.  yuanj's FSEG woMg  [large] 0 0 0 0  80.37 
 (19.81) 
 [0.537] 
56.96
(17)
[0.507]
32.75
(48)
[0.808]
6.74
(26)
[-0.386]
7.45
(14)
[-0.846]
7.05
(14)
[-0.873]
15.50
(20)
[-0.673]
38.33
(33)
[-0.121]
72.29
(16)
[0.626]
77.63
(20)
[0.521]
90.76
(13)
[0.736]
22.37
(20)
[-0.516]
1.70
(13)
[-0.813]
80.75
(16)
[0.667]
72.92
(16)
[0.660]
4.90
(24)
[-0.465]
82.35
(17)
[0.672]
11.72
(18)
[-0.630]
7.91
(24)
[-0.595]
31.90
(19)
[-0.457]
28.09
(22)
[-0.408]
77.63
(20)
[0.481]
70.77
(21)
[0.430]
73.29
(18)
[0.565]
13.96
(18)
[-0.602]
80.10
(17)
[0.669]
6.64
(22)
[-0.507]
17.51
(19)
[-0.569]
78.28
(18)
[0.610]
8.61
(16)
[-0.723]
71.79
(17)
[0.632]
64.05
(18)
[0.491]
76.75
(18)
[0.573]
77.95
(17)
[0.592]
86.18
(12)
[0.898]
72.30
(32)
[0.105]
6.37
(20)
[-0.523]
 49.  test's JSEG   [normal] 0 0 0 0  65.97 
 (38.00) 
 [-0.246] 
27.47
(43)
[-0.699]
38.62
(49)
[1.108]
5.04
(19)
[-0.539]
35.00
(41)
[0.207]
35.50
(41)
[0.223]
37.94
(37)
[0.215]
92.77
(50)
[1.499]
55.29
(36)
[-0.140]
61.81
(40)
[-0.223]
87.70
(23)
[0.595]
38.19
(40)
[0.232]
3.66
(27)
[-0.380]
66.74
(37)
[0.014]
55.14
(36)
[0.022]
4.96
(25)
[-0.452]
70.27
(36)
[0.098]
18.45
(36)
[-0.109]
11.64
(34)
[-0.280]
50.79
(42)
[0.633]
43.98
(42)
[0.543]
61.81
(43)
[-0.550]
51.94
(43)
[-0.662]
56.24
(41)
[-0.439]
23.38
(40)
[0.238]
66.85
(39)
[-0.238]
10.68
(41)
[0.357]
21.23
(29)
[-0.297]
67.54
(35)
[-0.038]
15.19
(35)
[0.099]
50.96
(41)
[-0.406]
44.46
(41)
[-0.574]
59.81
(41)
[-0.486]
61.42
(43)
[-0.495]
72.27
(34)
[0.094]
54.02
(49)
[-0.964]
9.82
(39)
[0.461]
 50.  LiRa's ==   [normal] CL 1 0 0 0  52.37 
 (41.06) 
 [-0.802] 
29.72
(40)
[-0.606]
41.22
(50)
[1.240]
6.48
(24)
[-0.410]
27.12
(35)
[-0.094]
29.19
(38)
[-0.020]
100.00
(59)
[2.669]
100.00
(55)
[1.714]
0.00
(59)
[-2.629]
0.00
(59)
[-3.128]
0.00
(59)
[-3.445]
100.00
(59)
[3.154]
0.00
(1)
[-1.190]
0.00
(59)
[-3.095]
0.00
(57)
[-1.960]
0.00
(1)
[-1.674]
0.00
(59)
[-3.242]
19.97
(37)
[0.008]
13.74
(39)
[-0.102]
49.53
(40)
[0.560]
43.31
(40)
[0.503]
63.33
(41)
[-0.451]
53.12
(42)
[-0.593]
58.28
(38)
[-0.319]
23.19
(39)
[0.220]
68.16
(38)
[-0.148]
11.10
(43)
[0.447]
21.46
(31)
[-0.281]
66.55
(37)
[-0.098]
13.59
(31)
[-0.101]
54.00
(37)
[-0.254]
46.16
(39)
[-0.481]
61.71
(40)
[-0.368]
63.43
(40)
[-0.362]
76.51
(26)
[0.340]
54.02
(48)
[-0.964]
9.72
(38)
[0.433]
 51.  jolen217's Deep Brain Model   [large] 0 0 0 0  67.18 
 (33.78) 
 [-0.227] 
38.00
(34)
[-0.268]
41.53
(51)
[1.256]
52.52
(59)
[3.719]
4.21
(8)
[-0.970]
5.46
(10)
[-0.934]
45.27
(44)
[0.505]
99.63
(54)
[1.703]
51.84
(39)
[-0.295]
64.66
(36)
[-0.089]
72.83
(40)
[-0.090]
35.34
(36)
[0.097]
9.89
(48)
[0.999]
58.77
(41)
[-0.357]
49.29
(39)
[-0.189]
2.88
(6)
[-0.963]
61.50
(41)
[-0.319]
10.61
(15)
[-0.716]
5.14
(8)
[-0.830]
45.13
(36)
[0.306]
39.65
(36)
[0.284]
64.66
(37)
[-0.364]
60.14
(35)
[-0.186]
58.32
(37)
[-0.316]
19.20
(31)
[-0.134]
62.95
(40)
[-0.505]
8.48
(31)
[-0.113]
10.29
(5)
[-1.094]
65.13
(40)
[-0.183]
23.02
(51)
[1.077]
51.62
(40)
[-0.373]
49.93
(36)
[-0.276]
64.37
(37)
[-0.201]
67.76
(33)
[-0.078]
55.31
(46)
[-0.885]
88.07
(7)
[1.027]
8.26
(29)
[0.016]
 52.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  73.30 
 (29.03) 
 [0.143] 
43.22
(29)
[-0.055]
49.27
(52)
[1.651]
16.55
(48)
[0.493]
10.30
(20)
[-0.737]
12.56
(21)
[-0.661]
21.99
(27)
[-0.416]
87.38
(49)
[1.339]
64.51
(29)
[0.275]
71.00
(31)
[0.209]
90.14
(15)
[0.707]
29.00
(31)
[-0.202]
3.79
(29)
[-0.352]
73.90
(28)
[0.348]
64.47
(24)
[0.357]
4.55
(21)
[-0.552]
76.51
(27)
[0.394]
15.32
(27)
[-0.352]
7.98
(25)
[-0.590]
40.43
(31)
[0.035]
33.09
(29)
[-0.109]
71.00
(33)
[0.048]
61.68
(34)
[-0.097]
67.03
(29)
[0.196]
16.87
(24)
[-0.343]
76.79
(20)
[0.443]
8.38
(29)
[-0.135]
16.76
(18)
[-0.623]
72.32
(27)
[0.250]
13.51
(30)
[-0.110]
61.60
(28)
[0.124]
55.09
(30)
[0.004]
69.68
(28)
[0.131]
71.15
(29)
[0.145]
77.54
(24)
[0.399]
67.86
(35)
[-0.154]
9.08
(34)
[0.250]
 53.  test's SWA def_par  [normal] 0 1 0 0  66.59 
 (37.11) 
 [-0.219] 
27.06
(44)
[-0.715]
50.21
(53)
[1.699]
4.53
(18)
[-0.585]
25.76
(32)
[-0.146]
27.50
(37)
[-0.085]
33.01
(34)
[0.020]
85.19
(47)
[1.273]
54.84
(37)
[-0.160]
60.67
(41)
[-0.276]
88.17
(21)
[0.616]
39.33
(41)
[0.286]
2.11
(16)
[-0.723]
66.94
(36)
[0.024]
53.71
(37)
[-0.030]
6.11
(29)
[-0.167]
70.32
(35)
[0.100]
17.27
(35)
[-0.201]
11.50
(33)
[-0.292]
50.96
(43)
[0.642]
45.18
(45)
[0.616]
60.67
(44)
[-0.624]
51.56
(45)
[-0.684]
55.84
(42)
[-0.463]
24.20
(43)
[0.311]
69.05
(36)
[-0.087]
9.75
(37)
[0.158]
21.56
(32)
[-0.274]
70.86
(29)
[0.162]
13.68
(32)
[-0.089]
51.67
(39)
[-0.370]
43.43
(43)
[-0.630]
58.77
(43)
[-0.552]
61.69
(42)
[-0.477]
79.03
(21)
[0.485]
51.05
(53)
[-1.138]
10.34
(41)
[0.609]
 54.  ales.hejl's ed_ah  [normal] 0 0 0 0  55.83 
 (43.19) 
 [-0.808] 
17.54
(50)
[-1.104]
52.99
(54)
[1.842]
0.00
(1)
[-0.991]
30.29
(39)
[0.027]
34.59
(40)
[0.188]
64.37
(52)
[1.260]
100.00
(55)
[1.714]
38.26
(47)
[-0.907]
40.46
(53)
[-1.226]
92.77
(9)
[0.828]
59.54
(53)
[1.241]
1.28
(8)
[-0.907]
48.85
(47)
[-0.819]
37.89
(44)
[-0.598]
3.74
(13)
[-0.751]
55.96
(45)
[-0.583]
13.12
(23)
[-0.522]
11.91
(35)
[-0.257]
69.24
(56)
[1.697]
68.03
(57)
[1.984]
40.46
(57)
[-1.941]
31.85
(56)
[-1.827]
38.40
(55)
[-1.489]
34.18
(50)
[1.200]
51.81
(52)
[-1.267]
17.88
(55)
[1.898]
25.68
(37)
[0.026]
60.66
(43)
[-0.454]
16.10
(38)
[0.213]
35.27
(51)
[-1.188]
28.30
(55)
[-1.452]
41.55
(55)
[-1.628]
48.37
(52)
[-1.352]
85.00
(14)
[0.830]
30.21
(58)
[-2.356]
10.65
(46)
[0.698]
 55.  xaos's GMRF+EM 2.0  [normal] 0 0 0 0  68.15 
 (34.86) 
 [-0.130] 
31.93
(37)
[-0.516]
53.27
(55)
[1.856]
11.24
(41)
[0.017]
14.97
(25)
[-0.559]
16.91
(26)
[-0.493]
33.61
(35)
[0.043]
100.00
(55)
[1.714]
57.91
(35)
[-0.022]
63.51
(38)
[-0.143]
89.26
(17)
[0.666]
36.49
(38)
[0.152]
3.14
(23)
[-0.495]
68.41
(35)
[0.092]
57.42
(34)
[0.103]
4.86
(22)
[-0.475]
71.80
(32)
[0.170]
16.04
(29)
[-0.296]
7.31
(21)
[-0.646]
48.88
(39)
[0.522]
40.15
(37)
[0.314]
63.51
(39)
[-0.440]
53.52
(41)
[-0.570]
59.43
(36)
[-0.251]
20.63
(35)
[-0.007]
70.55
(33)
[0.015]
10.20
(39)
[0.254]
19.02
(25)
[-0.458]
69.24
(32)
[0.064]
15.27
(36)
[0.109]
53.30
(38)
[-0.289]
46.11
(40)
[-0.484]
61.88
(39)
[-0.357]
64.08
(39)
[-0.320]
75.46
(29)
[0.279]
57.53
(44)
[-0.759]
9.46
(36)
[0.356]
 56.  xaos's AR3D+EM 1.0  [normal] 0 0 0 0  69.54 
 (32.50) 
 [-0.045] 
37.42
(36)
[-0.292]
59.53
(56)
[2.176]
8.86
(29)
[-0.197]
12.54
(22)
[-0.651]
13.14
(22)
[-0.638]
34.32
(36)
[0.072]
100.00
(55)
[1.714]
59.46
(33)
[0.048]
64.81
(35)
[-0.082]
91.79
(11)
[0.783]
35.19
(35)
[0.090]
3.39
(26)
[-0.439]
69.60
(33)
[0.147]
58.89
(33)
[0.156]
4.88
(23)
[-0.469]
73.15
(31)
[0.234]
12.13
(22)
[-0.599]
6.70
(16)
[-0.698]
47.22
(38)
[0.427]
41.79
(38)
[0.412]
64.81
(36)
[-0.354]
54.85
(39)
[-0.493]
61.34
(35)
[-0.139]
19.76
(33)
[-0.085]
72.15
(32)
[0.125]
9.84
(38)
[0.177]
18.31
(22)
[-0.510]
69.70
(31)
[0.092]
15.43
(37)
[0.130]
55.99
(35)
[-0.156]
49.12
(37)
[-0.320]
64.44
(36)
[-0.197]
67.22
(34)
[-0.114]
78.72
(22)
[0.467]
61.85
(41)
[-0.506]
8.65
(32)
[0.127]
 57.  xaos's MW3AR   [normal] 0 0 0 0  77.71 
 (20.31) 
 [0.443] 
53.04
(22)
[0.346]
59.53
(57)
[2.176]
3.20
(15)
[-0.704]
5.63
(11)
[-0.916]
6.96
(13)
[-0.876]
19.32
(24)
[-0.521]
86.19
(48)
[1.303]
71.89
(17)
[0.607]
74.66
(26)
[0.381]
95.04
(6)
[0.933]
25.34
(26)
[-0.375]
0.74
(7)
[-1.025]
80.43
(17)
[0.652]
71.78
(18)
[0.620]
3.09
(7)
[-0.912]
82.43
(16)
[0.675]
8.17
(10)
[-0.905]
5.78
(11)
[-0.775]
34.50
(24)
[-0.307]
32.11
(28)
[-0.167]
74.66
(26)
[0.287]
66.84
(30)
[0.202]
72.27
(20)
[0.505]
14.78
(20)
[-0.529]
80.63
(15)
[0.706]
7.16
(25)
[-0.395]
12.59
(8)
[-0.926]
79.57
(16)
[0.688]
8.97
(17)
[-0.678]
68.82
(19)
[0.484]
61.24
(21)
[0.338]
73.42
(22)
[0.364]
75.65
(21)
[0.441]
91.53
(6)
[1.207]
64.93
(40)
[-0.326]
7.12
(22)
[-0.309]
 58.  test's TBES 1.0  [normal] 0 0 0 0  72.22 
 (27.69) 
 [0.126] 
37.72
(35)
[-0.280]
59.77
(58)
[2.188]
1.25
(8)
[-0.878]
7.24
(13)
[-0.854]
8.22
(15)
[-0.828]
27.55
(32)
[-0.196]
95.08
(52)
[1.568]
63.30
(31)
[0.221]
65.66
(34)
[-0.042]
96.20
(5)
[0.986]
34.34
(34)
[0.050]
0.60
(5)
[-1.056]
74.19
(26)
[0.361]
63.73
(27)
[0.330]
5.27
(27)
[-0.373]
77.29
(23)
[0.431]
7.57
(9)
[-0.951]
6.02
(15)
[-0.755]
44.81
(35)
[0.287]
43.26
(39)
[0.500]
65.66
(35)
[-0.299]
56.32
(38)
[-0.407]
63.34
(32)
[-0.021]
19.40
(32)
[-0.117]
75.45
(24)
[0.351]
8.76
(34)
[-0.053]
18.00
(21)
[-0.533]
75.24
(25)
[0.426]
10.93
(21)
[-0.433]
60.46
(31)
[0.067]
51.10
(33)
[-0.212]
66.22
(32)
[-0.086]
69.21
(32)
[0.017]
91.55
(5)
[1.208]
53.39
(51)
[-1.001]
8.10
(28)
[-0.031]
 59.  test's EDISON 1.1  [normal] 0 0 0 0  53.36 
 (41.25) 
 [-0.953] 
12.68
(53)
[-1.303]
86.91
(59)
[3.574]
0.00
(1)
[-0.991]
2.48
(4)
[-1.036]
4.68
(9)
[-0.964]
73.17
(55)
[1.608]
100.00
(55)
[1.714]
31.19
(54)
[-1.225]
31.55
(56)
[-1.645]
98.09
(2)
[1.073]
68.45
(56)
[1.662]
0.24
(2)
[-1.136]
41.29
(53)
[-1.171]
31.13
(47)
[-0.842]
3.21
(10)
[-0.882]
50.29
(48)
[-0.852]
3.55
(3)
[-1.263]
3.44
(3)
[-0.974]
77.11
(59)
[2.151]
77.00
(59)
[2.522]
31.55
(59)
[-2.521]
23.11
(59)
[-2.334]
31.19
(58)
[-1.914]
35.37
(52)
[1.306]
44.44
(57)
[-1.772]
20.23
(58)
[2.401]
26.13
(38)
[0.059]
62.00
(42)
[-0.372]
16.84
(40)
[0.306]
28.00
(55)
[-1.550]
21.64
(58)
[-1.814]
32.51
(59)
[-2.193]
42.66
(56)
[-1.728]
95.06
(3)
[1.411]
21.85
(59)
[-2.846]
10.49
(44)
[0.653]