The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'CS' (correct segmentation) in descending 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.

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? 0 1   f1 = classification (supervised segmentation)
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? 0 1   f3 = known number of regions
? 0 1   f4 = [reserved]
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Filter by algorithm
Algorithm: Version:

   
Benchmark - Colour f1 f2 f3 f4 AVG
RANK
NORM
criterion 'CS' (correct segmentation) in descending orderCS
45.51
±23.82
OS
17.27
±19.43
US
11.93
±11.36
ME
27.76
±24.93
NE
27.87
±24.77
O
32.02
±25.20
C
42.18
±33.64
CA
59.00
±21.91
CO
67.08
±21.10
CC
75.26
±21.42
I
32.92
±21.10
II
5.36
±4.50
EA
66.89
±21.27
MS
55.32
±27.49
RM
6.85
±4.09
CI
68.69
±20.82
GCE
18.92
±12.26
LCE
14.06
±11.27
BCE
39.33
±17.10
GBCE
34.47
±16.53
BGM
70.78
±14.98
SC
64.05
±16.78
SSC
64.38
±16.44
VD
20.16
±10.90
L
70.92
±14.09
AVI
8.82
±4.61
NVI
24.56
±13.20
NMI
68.92
±15.94
M
14.38
±8.03
ARI
59.86
±19.51
JC
55.73
±17.92
DC
68.28
±15.51
FMI
69.70
±14.65
WI
71.22
±16.70
WII
71.57
±16.76
NBDE
8.19
±3.52
 1.  huangyuan's EWT-FCNT   [normal] CL 1 0 0 0  98.43 
 (1.14) 
 [1.615] 
98.45
(1)
[2.223]
0.00
(1)
[-0.889]
0.00
(1)
[-1.050]
0.37
(2)
[-1.099]
0.46
(2)
[-1.107]
0.93
(1)
[-1.234]
1.05
(1)
[-1.222]
97.67
(1)
[1.765]
98.78
(1)
[1.503]
98.81
(1)
[1.099]
1.22
(1)
[-1.503]
0.25
(3)
[-1.135]
98.76
(1)
[1.499]
98.17
(1)
[1.559]
0.24
(2)
[-1.616]
98.78
(1)
[1.445]
2.23
(1)
[-1.362]
1.68
(1)
[-1.098]
2.88
(1)
[-2.132]
2.33
(1)
[-1.944]
98.78
(1)
[1.869]
97.69
(1)
[2.004]
97.67
(1)
[2.025]
1.21
(1)
[-1.739]
97.86
(1)
[1.911]
1.02
(1)
[-1.693]
3.33
(1)
[-1.608]
96.32
(1)
[1.719]
0.74
(1)
[-1.699]
97.61
(1)
[1.935]
96.31
(1)
[2.265]
98.09
(1)
[1.921]
98.09
(1)
[1.938]
98.14
(1)
[1.613]
98.04
(1)
[1.579]
0.60
(1)
[-2.157]
 2.  huangyuan's unet psp21ewt  [normal] CL 1 0 0 0  97.67 
 (2.28) 
 [1.566] 
98.09
(2)
[2.208]
1.70
(11)
[-0.801]
0.00
(1)
[-1.050]
0.37
(1)
[-1.099]
0.09
(1)
[-1.121]
1.57
(2)
[-1.208]
1.82
(2)
[-1.200]
96.52
(2)
[1.712]
98.18
(2)
[1.474]
98.01
(3)
[1.062]
1.82
(2)
[-1.474]
0.39
(4)
[-1.103]
98.08
(2)
[1.467]
97.27
(2)
[1.526]
0.29
(3)
[-1.605]
98.09
(2)
[1.412]
3.20
(2)
[-1.282]
2.70
(2)
[-1.008]
3.95
(2)
[-2.069]
3.44
(2)
[-1.877]
98.18
(2)
[1.830]
96.71
(2)
[1.946]
96.55
(2)
[1.957]
1.75
(2)
[-1.689]
96.57
(2)
[1.820]
1.48
(2)
[-1.592]
4.90
(2)
[-1.489]
94.58
(2)
[1.610]
1.08
(2)
[-1.657]
96.60
(2)
[1.883]
94.77
(2)
[2.179]
97.29
(2)
[1.870]
97.29
(2)
[1.883]
97.15
(2)
[1.553]
97.44
(2)
[1.544]
0.77
(2)
[-2.109]
 3.  v-andrearczyk's FCNT sup.  [normal] CL 1 0 1 0  95.98 
 (3.47) 
 [1.454] 
96.01
(3)
[2.120]
1.56
(10)
[-0.809]
1.20
(5)
[-0.945]
0.78
(3)
[-1.083]
0.89
(3)
[-1.089]
2.71
(3)
[-1.163]
2.29
(3)
[-1.185]
93.95
(3)
[1.595]
96.73
(3)
[1.406]
97.02
(4)
[1.016]
3.27
(3)
[-1.406]
0.68
(6)
[-1.040]
96.68
(3)
[1.401]
95.10
(3)
[1.447]
0.86
(4)
[-1.465]
96.77
(3)
[1.349]
5.55
(4)
[-1.091]
3.75
(4)
[-0.915]
7.69
(3)
[-1.850]
5.89
(3)
[-1.728]
96.81
(3)
[1.738]
94.16
(3)
[1.794]
94.03
(3)
[1.804]
3.06
(3)
[-1.569]
94.69
(3)
[1.686]
2.27
(3)
[-1.421]
7.56
(3)
[-1.288]
91.69
(3)
[1.428]
1.96
(3)
[-1.548]
93.84
(3)
[1.742]
90.74
(3)
[1.954]
95.10
(3)
[1.729]
95.11
(3)
[1.734]
94.77
(4)
[1.410]
95.46
(3)
[1.426]
1.32
(3)
[-1.953]
 4.  connetwork12's conn col-noblur  [normal] CL 1 0 0 0  90.41 
 (7.39) 
 [1.098] 
84.57
(4)
[1.640]
0.00
(1)
[-0.889]
1.70
(8)
[-0.901]
9.50
(18)
[-0.733]
10.22
(19)
[-0.712]
7.00
(7)
[-0.993]
5.34
(4)
[-1.095]
86.21
(4)
[1.242]
92.02
(4)
[1.182]
92.68
(10)
[0.813]
7.98
(4)
[-1.182]
1.70
(14)
[-0.812]
91.72
(4)
[1.167]
88.03
(4)
[1.190]
2.08
(5)
[-1.167]
92.02
(4)
[1.120]
11.76
(20)
[-0.584]
8.61
(27)
[-0.483]
16.45
(4)
[-1.338]
13.30
(4)
[-1.281]
92.02
(4)
[1.418]
86.73
(4)
[1.351]
86.36
(4)
[1.337]
7.50
(4)
[-1.162]
88.77
(4)
[1.267]
4.31
(10)
[-0.978]
14.50
(13)
[-0.762]
84.01
(11)
[0.946]
4.69
(4)
[-1.208]
85.54
(4)
[1.317]
80.13
(4)
[1.362]
88.56
(4)
[1.308]
88.61
(4)
[1.291]
87.65
(11)
[0.984]
89.66
(5)
[1.079]
3.86
(7)
[-1.230]
 5.  v-andrearczyk's FCNT unsup.  [large] 0 0 0 0  89.21 
 (7.56) 
 [1.050] 
79.34
(5)
[1.421]
13.67
(34)
[-0.185]
6.25
(20)
[-0.499]
3.80
(5)
[-0.961]
3.80
(4)
[-0.972]
6.48
(6)
[-1.014]
22.88
(24)
[-0.573]
84.17
(5)
[1.149]
87.97
(6)
[0.990]
94.15
(7)
[0.882]
12.03
(6)
[-0.990]
1.42
(9)
[-0.876]
88.97
(5)
[1.038]
85.23
(5)
[1.088]
3.12
(8)
[-0.913]
89.91
(5)
[1.019]
6.46
(5)
[-1.017]
4.75
(6)
[-0.826]
17.73
(6)
[-1.263]
16.02
(7)
[-1.116]
87.97
(7)
[1.148]
84.11
(6)
[1.195]
84.85
(6)
[1.245]
7.79
(6)
[-1.134]
88.53
(5)
[1.249]
3.93
(6)
[-1.061]
10.70
(6)
[-1.050]
86.81
(5)
[1.123]
4.88
(6)
[-1.184]
84.85
(6)
[1.281]
80.02
(5)
[1.356]
87.75
(6)
[1.255]
88.28
(5)
[1.268]
90.69
(7)
[1.166]
87.01
(8)
[0.921]
3.32
(4)
[-1.386]
 6.  emkay's A3M 1.0  [large] 0 0 0 0  88.21 
 (9.67) 
 [0.989] 
77.73
(6)
[1.353]
15.92
(43)
[-0.070]
6.31
(21)
[-0.494]
3.93
(6)
[-0.956]
3.92
(6)
[-0.967]
7.68
(10)
[-0.966]
24.24
(25)
[-0.533]
82.80
(7)
[1.086]
86.89
(9)
[0.939]
93.65
(8)
[0.859]
13.11
(9)
[-0.939]
1.50
(11)
[-0.858]
88.03
(7)
[0.994]
83.98
(6)
[1.043]
3.27
(11)
[-0.876]
89.03
(6)
[0.977]
7.40
(8)
[-0.940]
5.62
(10)
[-0.749]
19.31
(7)
[-1.171]
17.53
(11)
[-1.024]
86.89
(9)
[1.075]
82.57
(7)
[1.104]
83.49
(7)
[1.163]
8.57
(7)
[-1.063]
87.67
(6)
[1.188]
4.39
(11)
[-0.961]
11.86
(7)
[-0.962]
85.28
(7)
[1.027]
5.30
(7)
[-1.131]
83.46
(7)
[1.210]
78.26
(7)
[1.258]
86.61
(7)
[1.182]
87.16
(7)
[1.192]
89.88
(8)
[1.118]
85.64
(11)
[0.839]
3.51
(6)
[-1.330]
 7.  cpanag@csd.uoc.gr's VRA-PMCFA   [large] 0 0 0 0  89.36 
 (7.92) 
 [1.049] 
75.14
(7)
[1.244]
12.13
(31)
[-0.265]
9.85
(36)
[-0.183]
4.38
(9)
[-0.938]
4.37
(7)
[-0.949]
4.51
(4)
[-1.092]
8.89
(10)
[-0.989]
83.45
(6)
[1.116]
88.12
(5)
[0.997]
90.73
(14)
[0.722]
11.88
(5)
[-0.997]
1.48
(10)
[-0.862]
88.07
(6)
[0.996]
83.92
(7)
[1.040]
3.75
(14)
[-0.758]
88.72
(7)
[0.962]
6.55
(6)
[-1.009]
3.90
(5)
[-0.901]
17.51
(5)
[-1.276]
14.86
(5)
[-1.186]
88.12
(5)
[1.157]
84.63
(5)
[1.226]
84.95
(5)
[1.251]
7.59
(5)
[-1.153]
87.58
(7)
[1.182]
3.25
(4)
[-1.209]
9.89
(4)
[-1.111]
88.52
(4)
[1.230]
4.76
(5)
[-1.199]
84.94
(5)
[1.286]
79.62
(6)
[1.334]
87.84
(5)
[1.261]
88.25
(6)
[1.266]
88.92
(9)
[1.060]
88.43
(6)
[1.006]
3.40
(5)
[-1.362]
 8.  connetwork12's conn col-blur3  [normal] CL 1 0 0 0  85.80 
 (14.64) 
 [0.816] 
72.93
(8)
[1.151]
1.73
(12)
[-0.800]
2.74
(12)
[-0.809]
18.89
(30)
[-0.356]
18.74
(30)
[-0.369]
9.21
(13)
[-0.906]
9.78
(13)
[-0.963]
80.08
(10)
[0.962]
87.78
(7)
[0.981]
89.19
(18)
[0.650]
12.22
(7)
[-0.981]
2.59
(20)
[-0.616]
87.40
(8)
[0.964]
81.67
(9)
[0.958]
3.15
(9)
[-0.906]
87.92
(8)
[0.923]
16.64
(33)
[-0.186]
12.55
(39)
[-0.134]
22.57
(12)
[-0.980]
18.48
(13)
[-0.967]
88.02
(6)
[1.151]
81.18
(11)
[1.021]
80.76
(11)
[0.996]
10.90
(15)
[-0.849]
84.92
(10)
[0.993]
5.75
(17)
[-0.666]
19.43
(27)
[-0.388]
78.64
(17)
[0.610]
6.78
(11)
[-0.947]
79.07
(11)
[0.985]
72.50
(12)
[0.936]
83.47
(11)
[0.979]
83.50
(11)
[0.942]
82.47
(19)
[0.674]
84.60
(13)
[0.778]
5.03
(14)
[-0.899]
 9.  frzn's texNCUT   [large] 0 0 1 0  87.01 
 (12.08) 
 [0.896] 
72.54
(9)
[1.135]
10.92
(27)
[-0.327]
9.61
(33)
[-0.204]
10.25
(19)
[-0.703]
9.83
(18)
[-0.728]
7.33
(9)
[-0.980]
8.17
(8)
[-1.011]
80.58
(9)
[0.985]
86.89
(8)
[0.939]
88.28
(20)
[0.608]
13.11
(8)
[-0.939]
2.36
(18)
[-0.666]
86.39
(10)
[0.917]
80.33
(10)
[0.910]
3.69
(12)
[-0.773]
86.97
(10)
[0.878]
11.92
(21)
[-0.571]
6.85
(18)
[-0.639]
20.64
(8)
[-1.093]
15.56
(6)
[-1.143]
86.89
(8)
[1.075]
82.46
(8)
[1.097]
81.90
(9)
[1.066]
9.18
(9)
[-1.007]
84.35
(13)
[0.953]
4.30
(8)
[-0.980]
14.49
(12)
[-0.763]
84.14
(10)
[0.955]
6.03
(9)
[-1.040]
81.48
(9)
[1.108]
75.77
(8)
[1.119]
85.35
(8)
[1.100]
85.50
(9)
[1.079]
84.76
(15)
[0.811]
86.57
(10)
[0.895]
4.49
(9)
[-1.052]
 10.  mevenkamp's PCA-MS   [large] 0 0 0 0  87.45 
 (11.00) 
 [0.921] 
72.27
(10)
[1.124]
18.33
(46)
[0.055]
9.41
(30)
[-0.221]
4.19
(7)
[-0.946]
3.92
(5)
[-0.967]
7.25
(8)
[-0.983]
6.44
(5)
[-1.062]
81.13
(8)
[1.010]
85.96
(10)
[0.895]
91.24
(12)
[0.746]
14.04
(10)
[-0.895]
1.59
(12)
[-0.837]
87.08
(9)
[0.949]
81.84
(8)
[0.965]
4.45
(18)
[-0.588]
87.81
(9)
[0.918]
8.33
(11)
[-0.864]
5.61
(9)
[-0.749]
21.00
(9)
[-1.072]
18.28
(12)
[-0.979]
85.96
(10)
[1.013]
81.30
(10)
[1.028]
82.16
(8)
[1.081]
9.06
(8)
[-1.019]
85.54
(9)
[1.037]
4.31
(9)
[-0.979]
13.22
(10)
[-0.859]
84.78
(8)
[0.995]
5.88
(8)
[-1.059]
81.62
(8)
[1.116]
75.30
(10)
[1.093]
85.25
(9)
[1.094]
85.71
(8)
[1.093]
88.20
(10)
[1.017]
84.18
(15)
[0.752]
3.98
(8)
[-1.197]
 11.  cbampis's GRPNMF   [large] 0 0 0 0  84.98 
 (15.94) 
 [0.774] 
69.50
(11)
[1.007]
16.05
(44)
[-0.063]
9.90
(37)
[-0.178]
5.74
(12)
[-0.884]
5.89
(11)
[-0.888]
10.33
(14)
[-0.861]
18.35
(21)
[-0.708]
77.92
(14)
[0.864]
84.00
(15)
[0.802]
88.41
(19)
[0.614]
16.00
(15)
[-0.802]
2.26
(17)
[-0.689]
84.39
(13)
[0.823]
78.57
(12)
[0.846]
4.34
(16)
[-0.615]
85.24
(13)
[0.795]
10.61
(14)
[-0.678]
7.69
(23)
[-0.565]
24.22
(15)
[-0.884]
21.30
(15)
[-0.797]
84.00
(15)
[0.882]
78.67
(15)
[0.871]
79.21
(14)
[0.902]
10.80
(12)
[-0.859]
83.08
(14)
[0.863]
5.39
(15)
[-0.744]
15.83
(15)
[-0.662]
81.02
(13)
[0.759]
7.42
(13)
[-0.867]
77.88
(13)
[0.924]
71.59
(13)
[0.886]
82.22
(14)
[0.899]
82.96
(13)
[0.905]
83.80
(17)
[0.753]
83.76
(17)
[0.727]
4.73
(10)
[-0.984]
 12.  yuanj's FSEG 3.0  [large] 0 0 0 0  84.47 
 (16.78) 
 [0.727] 
69.24
(12)
[0.996]
12.28
(32)
[-0.257]
17.03
(47)
[0.449]
7.71
(15)
[-0.804]
6.89
(12)
[-0.847]
11.66
(15)
[-0.808]
11.71
(14)
[-0.905]
76.32
(15)
[0.791]
84.05
(14)
[0.804]
84.15
(26)
[0.415]
15.95
(14)
[-0.804]
3.29
(24)
[-0.459]
82.53
(15)
[0.735]
77.11
(14)
[0.792]
5.00
(26)
[-0.453]
83.26
(15)
[0.700]
10.75
(16)
[-0.666]
7.52
(22)
[-0.580]
24.10
(14)
[-0.891]
20.87
(14)
[-0.823]
84.05
(14)
[0.886]
79.66
(13)
[0.930]
78.46
(15)
[0.857]
10.68
(11)
[-0.870]
80.37
(16)
[0.671]
5.17
(14)
[-0.791]
16.53
(17)
[-0.608]
80.60
(15)
[0.733]
7.88
(15)
[-0.810]
77.38
(14)
[0.898]
71.30
(15)
[0.869]
82.36
(13)
[0.908]
82.95
(14)
[0.905]
80.29
(20)
[0.543]
86.86
(9)
[0.912]
4.99
(13)
[-0.910]
 13.  felipecalderero's GSRM sup. KL area-weighted  [normal] 0 0 1 0  85.76 
 (14.28) 
 [0.824] 
68.72
(13)
[0.975]
9.00
(25)
[-0.426]
6.67
(23)
[-0.463]
15.09
(27)
[-0.508]
15.16
(26)
[-0.513]
7.74
(11)
[-0.964]
6.79
(6)
[-1.052]
78.90
(12)
[0.908]
84.74
(12)
[0.837]
89.30
(16)
[0.656]
15.26
(12)
[-0.837]
2.10
(15)
[-0.725]
85.01
(12)
[0.852]
77.12
(13)
[0.793]
4.54
(20)
[-0.565]
85.98
(12)
[0.830]
13.29
(25)
[-0.460]
6.93
(19)
[-0.632]
22.51
(11)
[-0.984]
16.16
(9)
[-1.107]
84.74
(12)
[0.932]
80.09
(12)
[0.956]
80.13
(12)
[0.958]
10.88
(14)
[-0.851]
84.38
(12)
[0.955]
4.29
(7)
[-0.982]
14.22
(11)
[-0.783]
84.50
(9)
[0.977]
6.84
(12)
[-0.939]
78.95
(12)
[0.978]
73.34
(11)
[0.983]
83.20
(12)
[0.962]
83.40
(12)
[0.935]
84.46
(16)
[0.793]
82.76
(19)
[0.667]
4.96
(12)
[-0.919]
 14.  felipecalderero's GSRM MARKOV sup. KL area-weighted  [normal] 0 0 1 0  85.13 
 (16.06) 
 [0.782] 
67.55
(14)
[0.926]
11.36
(28)
[-0.304]
9.11
(28)
[-0.248]
12.58
(24)
[-0.609]
13.54
(24)
[-0.579]
7.81
(12)
[-0.961]
8.42
(9)
[-1.003]
78.07
(13)
[0.870]
84.30
(13)
[0.816]
87.19
(24)
[0.557]
15.70
(13)
[-0.816]
2.91
(21)
[-0.544]
84.32
(14)
[0.819]
76.44
(15)
[0.768]
4.26
(15)
[-0.633]
85.01
(14)
[0.784]
13.33
(26)
[-0.456]
7.21
(20)
[-0.608]
23.13
(13)
[-0.947]
17.01
(10)
[-1.056]
84.30
(13)
[0.902]
79.53
(14)
[0.922]
79.83
(13)
[0.940]
10.85
(13)
[-0.855]
84.77
(11)
[0.983]
4.41
(12)
[-0.957]
14.60
(14)
[-0.755]
83.91
(12)
[0.941]
7.61
(14)
[-0.844]
77.27
(15)
[0.893]
71.45
(14)
[0.878]
82.06
(15)
[0.889]
82.33
(15)
[0.862]
82.59
(18)
[0.681]
82.65
(20)
[0.661]
5.06
(15)
[-0.890]
 15.  xiaofang's sas_gmm(color) c=7  [normal] 0 0 1 0  86.71 
 (12.86) 
 [0.870] 
66.88
(15)
[0.897]
13.63
(33)
[-0.187]
11.93
(41)
[0.001]
8.46
(16)
[-0.774]
8.44
(16)
[-0.784]
4.92
(5)
[-1.076]
6.97
(7)
[-1.046]
79.87
(11)
[0.953]
85.76
(11)
[0.886]
88.16
(22)
[0.602]
14.24
(11)
[-0.886]
2.36
(19)
[-0.665]
85.72
(11)
[0.885]
78.65
(11)
[0.849]
4.45
(17)
[-0.588]
86.33
(11)
[0.847]
11.00
(17)
[-0.646]
5.90
(12)
[-0.724]
21.14
(10)
[-1.064]
16.05
(8)
[-1.114]
85.76
(11)
[1.000]
81.49
(9)
[1.039]
81.61
(10)
[1.048]
9.50
(10)
[-0.978]
85.88
(8)
[1.062]
3.88
(5)
[-1.071]
13.10
(9)
[-0.868]
85.65
(6)
[1.050]
6.52
(10)
[-0.980]
80.86
(10)
[1.076]
75.31
(9)
[1.093]
85.05
(10)
[1.081]
85.32
(10)
[1.066]
85.89
(13)
[0.879]
85.29
(12)
[0.818]
5.58
(17)
[-0.743]
f1 f2 f3 f4 AVG
RANK
NORM
criterion 'CS' (correct segmentation) in descending orderCS
45.51
±23.82
OS
17.27
±19.43
US
11.93
±11.36
ME
27.76
±24.93
NE
27.87
±24.77
O
32.02
±25.20
C
42.18
±33.64
CA
59.00
±21.91
CO
67.08
±21.10
CC
75.26
±21.42
I
32.92
±21.10
II
5.36
±4.50
EA
66.89
±21.27
MS
55.32
±27.49
RM
6.85
±4.09
CI
68.69
±20.82
GCE
18.92
±12.26
LCE
14.06
±11.27
BCE
39.33
±17.10
GBCE
34.47
±16.53
BGM
70.78
±14.98
SC
64.05
±16.78
SSC
64.38
±16.44
VD
20.16
±10.90
L
70.92
±14.09
AVI
8.82
±4.61
NVI
24.56
±13.20
NMI
68.92
±15.94
M
14.38
±8.03
ARI
59.86
±19.51
JC
55.73
±17.92
DC
68.28
±15.51
FMI
69.70
±14.65
WI
71.22
±16.70
WII
71.57
±16.76
NBDE
8.19
±3.52
 16.  daicav's SegTexCol  [large] 0 0 0 0  82.50 
 (18.39) 
 [0.611] 
61.19
(16)
[0.659]
1.92
(13)
[-0.790]
27.02
(53)
[1.329]
9.33
(17)
[-0.740]
9.05
(17)
[-0.760]
15.17
(19)
[-0.669]
12.12
(15)
[-0.893]
71.69
(18)
[0.579]
81.16
(16)
[0.667]
76.34
(36)
[0.051]
18.84
(16)
[-0.667]
3.77
(28)
[-0.354]
77.20
(19)
[0.485]
71.87
(17)
[0.602]
6.40
(30)
[-0.111]
77.95
(19)
[0.445]
8.36
(12)
[-0.862]
6.01
(14)
[-0.714]
25.98
(16)
[-0.781]
23.63
(17)
[-0.655]
81.16
(16)
[0.693]
78.15
(16)
[0.840]
75.50
(16)
[0.676]
11.75
(16)
[-0.771]
76.27
(22)
[0.379]
4.88
(13)
[-0.854]
16.00
(16)
[-0.648]
80.93
(14)
[0.754]
9.19
(18)
[-0.648]
75.75
(16)
[0.815]
70.11
(16)
[0.803]
80.97
(16)
[0.818]
81.91
(16)
[0.834]
75.75
(28)
[0.271]
90.27
(4)
[1.116]
4.93
(11)
[-0.928]
 17.  yuanj's FSEG woMg  [large] 0 0 0 0  80.37 
 (19.89) 
 [0.518] 
56.96
(17)
[0.481]
32.75
(48)
[0.796]
6.74
(24)
[-0.456]
7.45
(14)
[-0.815]
7.05
(14)
[-0.841]
15.50
(20)
[-0.656]
38.33
(34)
[-0.114]
72.29
(16)
[0.607]
77.63
(20)
[0.500]
90.76
(13)
[0.723]
22.37
(20)
[-0.500]
1.70
(13)
[-0.813]
80.75
(16)
[0.652]
72.92
(16)
[0.640]
4.90
(24)
[-0.477]
82.35
(17)
[0.656]
11.72
(19)
[-0.588]
7.91
(25)
[-0.546]
31.90
(19)
[-0.435]
28.09
(22)
[-0.386]
77.63
(20)
[0.457]
70.77
(21)
[0.400]
73.29
(18)
[0.542]
13.96
(18)
[-0.569]
80.10
(17)
[0.651]
6.64
(22)
[-0.472]
17.51
(19)
[-0.534]
78.28
(18)
[0.587]
8.61
(16)
[-0.719]
71.79
(17)
[0.612]
64.05
(18)
[0.465]
76.75
(18)
[0.546]
77.95
(17)
[0.563]
86.18
(12)
[0.896]
72.30
(34)
[0.044]
6.37
(20)
[-0.517]
 18.  sylvia's TEX-ROI-SEG 1.0  [normal] 0 0 0 0  80.15 
 (21.67) 
 [0.462] 
56.37
(18)
[0.456]
11.93
(29)
[-0.275]
19.79
(48)
[0.692]
11.55
(21)
[-0.650]
10.29
(20)
[-0.710]
18.21
(23)
[-0.548]
9.63
(11)
[-0.967]
69.45
(20)
[0.477]
78.26
(18)
[0.530]
81.24
(30)
[0.279]
21.74
(18)
[-0.530]
4.16
(32)
[-0.267]
76.31
(20)
[0.443]
68.88
(20)
[0.493]
7.37
(38)
[0.127]
77.86
(20)
[0.441]
11.99
(22)
[-0.565]
6.71
(17)
[-0.652]
30.48
(17)
[-0.518]
25.20
(18)
[-0.561]
78.26
(19)
[0.499]
73.70
(17)
[0.575]
72.48
(19)
[0.493]
13.66
(17)
[-0.596]
76.83
(19)
[0.419]
5.74
(16)
[-0.667]
18.34
(23)
[-0.471]
78.12
(20)
[0.577]
11.74
(26)
[-0.330]
68.74
(20)
[0.455]
63.73
(19)
[0.447]
75.91
(19)
[0.492]
77.00
(19)
[0.499]
73.11
(33)
[0.113]
83.24
(18)
[0.696]
5.45
(16)
[-0.778]
 19.  felipecalderero's GSRM MARKOV unsup. KL area-weighted  [normal] 0 0 0 0  76.16 
 (28.42) 
 [0.210] 
54.70
(19)
[0.386]
15.14
(41)
[-0.110]
23.71
(49)
[1.037]
5.49
(10)
[-0.893]
4.55
(8)
[-0.942]
24.79
(30)
[-0.287]
31.43
(31)
[-0.319]
63.98
(30)
[0.227]
71.55
(30)
[0.212]
75.39
(37)
[0.006]
28.45
(30)
[-0.212]
4.53
(36)
[-0.184]
69.79
(32)
[0.136]
61.55
(30)
[0.227]
8.77
(44)
[0.469]
71.46
(34)
[0.133]
6.75
(7)
[-0.993]
4.81
(7)
[-0.820]
35.49
(27)
[-0.224]
33.56
(31)
[-0.055]
71.55
(32)
[0.051]
67.70
(27)
[0.217]
67.48
(27)
[0.189]
16.16
(23)
[-0.367]
73.83
(30)
[0.206]
6.79
(23)
[-0.440]
19.22
(26)
[-0.405]
74.98
(26)
[0.380]
17.61
(43)
[0.402]
61.29
(29)
[0.073]
57.57
(28)
[0.103]
69.20
(29)
[0.059]
72.50
(27)
[0.191]
73.38
(32)
[0.129]
80.01
(24)
[0.504]
9.00
(34)
[0.231]
 20.  felipecalderero's GSRM unsup. KL area-weighted  [normal] 0 0 0 0  77.65 
 (25.78) 
 [0.342] 
54.05
(20)
[0.358]
15.88
(42)
[-0.071]
14.45
(45)
[0.222]
13.62
(25)
[-0.568]
14.03
(25)
[-0.559]
23.44
(29)
[-0.341]
26.47
(26)
[-0.467]
66.75
(23)
[0.353]
73.67
(28)
[0.313]
81.41
(29)
[0.287]
26.33
(28)
[-0.313]
3.35
(25)
[-0.446]
73.14
(30)
[0.294]
65.75
(22)
[0.379]
6.76
(36)
[-0.023]
75.09
(29)
[0.307]
8.88
(13)
[-0.819]
5.98
(13)
[-0.717]
33.93
(22)
[-0.316]
31.03
(26)
[-0.208]
73.67
(28)
[0.193]
68.93
(23)
[0.291]
69.15
(24)
[0.290]
15.95
(22)
[-0.386]
74.85
(28)
[0.279]
6.93
(24)
[-0.410]
17.65
(20)
[-0.524]
78.09
(21)
[0.575]
12.36
(27)
[-0.253]
64.94
(26)
[0.260]
60.71
(23)
[0.278]
71.13
(27)
[0.184]
73.53
(25)
[0.262]
76.97
(25)
[0.344]
76.81
(30)
[0.313]
6.29
(19)
[-0.540]
 21.  david0432's Cooperative Mum-Shah   [normal] 0 0 1 0  80.21 
 (21.89) 
 [0.483] 
53.73
(21)
[0.345]
16.29
(45)
[-0.050]
11.76
(40)
[-0.015]
18.57
(29)
[-0.369]
18.66
(29)
[-0.372]
12.55
(16)
[-0.773]
16.85
(20)
[-0.753]
71.58
(19)
[0.574]
78.99
(17)
[0.564]
84.91
(25)
[0.451]
21.01
(17)
[-0.564]
3.11
(22)
[-0.501]
79.39
(18)
[0.588]
70.84
(19)
[0.564]
6.45
(32)
[-0.099]
80.61
(18)
[0.573]
16.29
(31)
[-0.214]
8.88
(28)
[-0.460]
30.80
(18)
[-0.499]
23.38
(16)
[-0.671]
78.99
(18)
[0.548]
72.83
(18)
[0.523]
73.35
(17)
[0.546]
14.43
(19)
[-0.525]
79.26
(18)
[0.591]
5.92
(19)
[-0.629]
18.40
(24)
[-0.466]
78.23
(19)
[0.584]
10.09
(19)
[-0.535]
70.52
(18)
[0.546]
64.26
(17)
[0.476]
76.88
(17)
[0.555]
77.31
(18)
[0.520]
77.60
(23)
[0.382]
77.93
(26)
[0.379]
6.15
(18)
[-0.580]
 22.  xaos's MW3AR   [normal] 0 0 0 0  77.71 
 (20.33) 
 [0.424] 
53.04
(22)
[0.316]
59.53
(57)
[2.174]
3.20
(13)
[-0.768]
5.63
(11)
[-0.888]
6.96
(13)
[-0.844]
19.32
(24)
[-0.504]
86.19
(48)
[1.308]
71.89
(17)
[0.588]
74.66
(26)
[0.359]
95.04
(6)
[0.923]
25.34
(26)
[-0.359]
0.74
(7)
[-1.025]
80.43
(17)
[0.637]
71.78
(18)
[0.599]
3.09
(7)
[-0.920]
82.43
(16)
[0.660]
8.17
(10)
[-0.877]
5.78
(11)
[-0.735]
34.50
(24)
[-0.282]
32.11
(29)
[-0.143]
74.66
(26)
[0.259]
66.84
(30)
[0.166]
72.27
(20)
[0.480]
14.78
(20)
[-0.494]
80.63
(15)
[0.689]
7.16
(25)
[-0.359]
12.59
(8)
[-0.906]
79.57
(16)
[0.668]
8.97
(17)
[-0.675]
68.82
(19)
[0.459]
61.24
(21)
[0.308]
73.42
(22)
[0.332]
75.65
(21)
[0.406]
91.53
(6)
[1.216]
64.93
(42)
[-0.396]
7.12
(22)
[-0.303]
 23.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  76.32 
 (26.31) 
 [0.254] 
52.48
(23)
[0.293]
0.00
(1)
[-0.889]
1.94
(10)
[-0.879]
41.55
(45)
[0.553]
40.97
(45)
[0.529]
20.74
(26)
[-0.448]
22.10
(23)
[-0.597]
67.01
(22)
[0.365]
77.86
(19)
[0.511]
78.34
(34)
[0.144]
22.14
(19)
[-0.511]
4.40
(35)
[-0.214]
76.21
(21)
[0.438]
66.79
(21)
[0.417]
4.47
(19)
[-0.582]
77.05
(25)
[0.402]
23.93
(45)
[0.409]
19.69
(45)
[0.500]
33.50
(21)
[-0.341]
29.26
(25)
[-0.315]
79.35
(17)
[0.572]
71.06
(20)
[0.417]
69.71
(22)
[0.324]
17.86
(27)
[-0.211]
75.22
(27)
[0.305]
8.41
(32)
[-0.087]
27.51
(42)
[0.223]
68.94
(34)
[0.001]
10.62
(20)
[-0.468]
67.19
(22)
[0.376]
60.90
(22)
[0.289]
73.94
(21)
[0.365]
74.22
(22)
[0.309]
71.09
(36)
[-0.008]
77.92
(27)
[0.379]
8.50
(32)
[0.090]
 24.  scarpa's TFR/KLD   [normal] 0 1 0 0  76.65 
 (27.78) 
 [0.246] 
51.25
(24)
[0.241]
5.84
(20)
[-0.588]
7.16
(25)
[-0.419]
31.64
(42)
[0.156]
31.38
(41)
[0.142]
19.65
(25)
[-0.491]
9.67
(12)
[-0.966]
67.45
(21)
[0.386]
76.40
(21)
[0.442]
81.12
(31)
[0.274]
23.60
(21)
[-0.442]
4.09
(31)
[-0.283]
75.80
(24)
[0.419]
65.19
(23)
[0.359]
7.21
(37)
[0.087]
77.21
(24)
[0.409]
20.36
(41)
[0.117]
14.36
(42)
[0.027]
34.33
(23)
[-0.292]
28.34
(23)
[-0.371]
76.40
(21)
[0.375]
69.58
(22)
[0.329]
69.20
(23)
[0.293]
18.01
(28)
[-0.197]
74.35
(29)
[0.243]
7.63
(27)
[-0.258]
24.48
(36)
[-0.006]
71.43
(29)
[0.157]
12.64
(28)
[-0.217]
63.75
(27)
[0.200]
58.96
(27)
[0.180]
71.77
(26)
[0.225]
72.35
(28)
[0.181]
69.11
(37)
[-0.126]
76.80
(31)
[0.312]
8.38
(30)
[0.054]
 25.  chaththa85's ImprvGMRF  [normal] 0 0 1 0  75.46 
 (29.86) 
 [0.200] 
49.02
(25)
[0.147]
15.06
(40)
[-0.114]
10.82
(38)
[-0.098]
21.44
(32)
[-0.254]
22.76
(32)
[-0.206]
22.06
(28)
[-0.395]
26.87
(27)
[-0.455]
64.74
(28)
[0.262]
73.95
(27)
[0.326]
79.03
(33)
[0.176]
26.05
(27)
[-0.326]
3.99
(30)
[-0.304]
73.98
(27)
[0.333]
60.92
(31)
[0.204]
6.01
(28)
[-0.206]
75.18
(28)
[0.312]
23.07
(44)
[0.339]
15.90
(44)
[0.163]
36.10
(28)
[-0.189]
28.92
(24)
[-0.335]
73.95
(27)
[0.211]
67.21
(28)
[0.188]
67.44
(28)
[0.186]
18.67
(31)
[-0.137]
72.20
(31)
[0.091]
8.14
(30)
[-0.147]
27.33
(41)
[0.210]
70.26
(31)
[0.084]
10.99
(22)
[-0.423]
66.08
(25)
[0.319]
59.42
(26)
[0.206]
73.13
(25)
[0.313]
73.46
(26)
[0.257]
76.08
(27)
[0.291]
71.54
(35)
[-0.002]
6.76
(21)
[-0.405]
 26.  scarpa's TFR  [normal] 0 1 0 0  73.61 
 (32.42) 
 [0.040] 
46.13
(26)
[0.026]
2.37
(15)
[-0.767]
23.99
(50)
[1.061]
26.70
(34)
[-0.043]
25.23
(35)
[-0.106]
28.73
(34)
[-0.131]
12.50
(16)
[-0.882]
61.32
(32)
[0.106]
73.00
(29)
[0.281]
68.91
(44)
[-0.297]
27.00
(29)
[-0.281]
8.56
(47)
[0.711]
68.62
(34)
[0.081]
59.76
(32)
[0.162]
8.61
(43)
[0.431]
69.73
(37)
[0.050]
15.51
(29)
[-0.278]
12.03
(38)
[-0.180]
37.29
(30)
[-0.120]
33.80
(32)
[-0.040]
73.00
(29)
[0.148]
68.48
(24)
[0.264]
64.83
(31)
[0.027]
18.21
(29)
[-0.179]
68.54
(38)
[-0.169]
7.73
(28)
[-0.236]
25.28
(38)
[0.055]
68.13
(35)
[-0.050]
17.47
(42)
[0.385]
57.90
(32)
[-0.101]
55.57
(29)
[-0.009]
68.82
(31)
[0.035]
70.72
(31)
[0.070]
61.21
(43)
[-0.599]
84.40
(14)
[0.765]
8.05
(27)
[-0.041]
 27.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.28 
 (30.42) 
 [0.102] 
46.11
(27)
[0.025]
0.81
(8)
[-0.847]
4.18
(15)
[-0.682]
44.82
(46)
[0.684]
45.29
(46)
[0.703]
14.52
(17)
[-0.695]
16.77
(19)
[-0.755]
65.42
(26)
[0.293]
76.19
(22)
[0.432]
80.30
(32)
[0.235]
23.81
(22)
[-0.432]
4.82
(37)
[-0.121]
75.40
(25)
[0.400]
64.29
(25)
[0.326]
6.43
(31)
[-0.103]
76.69
(26)
[0.384]
25.78
(46)
[0.559]
20.68
(46)
[0.588]
36.67
(29)
[-0.156]
31.58
(27)
[-0.175]
76.19
(22)
[0.361]
66.99
(29)
[0.175]
66.85
(30)
[0.150]
20.35
(36)
[0.017]
76.15
(23)
[0.371]
8.84
(37)
[0.004]
29.20
(44)
[0.352]
67.43
(37)
[-0.094]
13.25
(29)
[-0.142]
60.58
(30)
[0.037]
54.85
(32)
[-0.049]
69.05
(30)
[0.050]
69.41
(32)
[-0.019]
68.59
(38)
[-0.157]
70.97
(36)
[-0.036]
9.62
(38)
[0.407]
 28.  yuanj's RS   [large] 0 0 0 1  71.87 
 (35.25) 
 [-0.107] 
46.02
(28)
[0.021]
13.96
(35)
[-0.170]
30.01
(55)
[1.592]
12.01
(22)
[-0.632]
11.77
(21)
[-0.650]
35.11
(38)
[0.123]
29.91
(30)
[-0.364]
58.75
(35)
[-0.012]
68.89
(34)
[0.086]
69.30
(43)
[-0.278]
31.11
(34)
[-0.086]
8.63
(48)
[0.726]
65.87
(38)
[-0.048]
55.52
(37)
[0.007]
10.96
(50)
[1.004]
67.35
(39)
[-0.064]
11.23
(18)
[-0.628]
7.70
(24)
[-0.564]
40.64
(33)
[0.076]
37.11
(35)
[0.160]
68.89
(35)
[-0.127]
63.92
(32)
[-0.008]
62.40
(34)
[-0.121]
18.52
(30)
[-0.151]
66.67
(41)
[-0.302]
7.96
(29)
[-0.186]
25.08
(37)
[0.040]
61.66
(44)
[-0.456]
23.67
(51)
[1.157]
56.50
(35)
[-0.173]
55.50
(30)
[-0.012]
68.10
(32)
[-0.011]
70.97
(30)
[0.087]
65.41
(40)
[-0.348]
84.01
(16)
[0.742]
13.09
(56)
[1.392]
 29.  xiaofang's SR_multifeat all  [normal] 0 0 1 0  77.58 
 (26.14) 
 [0.308] 
45.57
(29)
[0.003]
14.56
(36)
[-0.140]
27.86
(54)
[1.403]
17.99
(28)
[-0.392]
17.58
(28)
[-0.415]
14.76
(18)
[-0.685]
20.63
(22)
[-0.640]
65.36
(27)
[0.290]
76.12
(23)
[0.429]
76.95
(35)
[0.079]
23.88
(23)
[-0.429]
5.18
(39)
[-0.040]
73.17
(29)
[0.295]
64.18
(26)
[0.322]
7.49
(39)
[0.156]
74.36
(30)
[0.272]
14.68
(27)
[-0.346]
9.40
(31)
[-0.413]
32.16
(20)
[-0.420]
26.88
(21)
[-0.459]
76.12
(23)
[0.356]
71.39
(19)
[0.437]
70.07
(21)
[0.346]
15.46
(21)
[-0.432]
76.62
(21)
[0.404]
5.91
(18)
[-0.631]
19.57
(28)
[-0.378]
77.52
(22)
[0.540]
11.17
(23)
[-0.401]
68.58
(21)
[0.447]
62.59
(20)
[0.383]
75.81
(20)
[0.486]
76.54
(20)
[0.467]
72.03
(35)
[0.048]
82.58
(21)
[0.657]
7.63
(23)
[-0.159]
 30.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  73.30 
 (29.36) 
 [0.118] 
43.22
(30)
[-0.096]
49.27
(52)
[1.646]
16.55
(46)
[0.406]
10.30
(20)
[-0.701]
12.56
(22)
[-0.618]
21.99
(27)
[-0.398]
87.38
(49)
[1.344]
64.51
(29)
[0.251]
71.00
(31)
[0.186]
90.14
(15)
[0.695]
29.00
(31)
[-0.186]
3.79
(29)
[-0.349]
73.90
(28)
[0.330]
64.47
(24)
[0.333]
4.55
(21)
[-0.563]
76.51
(27)
[0.376]
15.32
(28)
[-0.294]
7.98
(26)
[-0.540]
40.43
(32)
[0.064]
33.09
(30)
[-0.083]
71.00
(33)
[0.014]
61.68
(36)
[-0.141]
67.03
(29)
[0.161]
16.87
(24)
[-0.302]
76.79
(20)
[0.416]
8.38
(31)
[-0.095]
16.76
(18)
[-0.591]
72.32
(27)
[0.213]
13.51
(30)
[-0.108]
61.60
(28)
[0.089]
55.09
(31)
[-0.036]
69.68
(28)
[0.091]
71.15
(29)
[0.099]
77.54
(24)
[0.379]
67.86
(37)
[-0.221]
9.08
(35)
[0.254]
f1 f2 f3 f4 AVG
RANK
NORM
criterion 'CS' (correct segmentation) in descending orderCS
45.51
±23.82
OS
17.27
±19.43
US
11.93
±11.36
ME
27.76
±24.93
NE
27.87
±24.77
O
32.02
±25.20
C
42.18
±33.64
CA
59.00
±21.91
CO
67.08
±21.10
CC
75.26
±21.42
I
32.92
±21.10
II
5.36
±4.50
EA
66.89
±21.27
MS
55.32
±27.49
RM
6.85
±4.09
CI
68.69
±20.82
GCE
18.92
±12.26
LCE
14.06
±11.27
BCE
39.33
±17.10
GBCE
34.47
±16.53
BGM
70.78
±14.98
SC
64.05
±16.78
SSC
64.38
±16.44
VD
20.16
±10.90
L
70.92
±14.09
AVI
8.82
±4.61
NVI
24.56
±13.20
NMI
68.92
±15.94
M
14.38
±8.03
ARI
59.86
±19.51
JC
55.73
±17.92
DC
68.28
±15.51
FMI
69.70
±14.65
WI
71.22
±16.70
WII
71.57
±16.76
NBDE
8.19
±3.52
 31.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.49 
 (41.89) 
 [-0.953] 
42.19
(31)
[-0.139]
0.00
(1)
[-0.889]
2.41
(11)
[-0.838]
51.41
(47)
[0.949]
51.41
(47)
[0.951]
97.97
(58)
[2.617]
98.38
(53)
[1.671]
2.69
(58)
[-2.571]
4.97
(58)
[-2.944]
6.86
(58)
[-3.193]
95.03
(58)
[2.944]
15.57
(57)
[2.267]
4.80
(58)
[-2.919]
-34.39
(59)
[-3.263]
12.79
(53)
[1.454]
5.29
(58)
[-3.044]
30.12
(47)
[0.914]
23.82
(48)
[0.866]
41.73
(34)
[0.140]
35.43
(33)
[0.058]
72.58
(31)
[0.120]
62.64
(33)
[-0.084]
62.66
(33)
[-0.104]
23.85
(43)
[0.338]
70.30
(34)
[-0.044]
10.49
(42)
[0.363]
33.98
(47)
[0.714]
62.06
(42)
[-0.431]
14.07
(33)
[-0.039]
56.97
(34)
[-0.148]
51.54
(34)
[-0.233]
65.80
(35)
[-0.159]
66.11
(38)
[-0.245]
65.48
(39)
[-0.344]
67.35
(39)
[-0.252]
7.64
(24)
[-0.155]
 32.  xiaofang's sas originial  [normal] 0 0 0 0  76.67 
 (27.44) 
 [0.267] 
41.42
(32)
[-0.172]
15.04
(38)
[-0.115]
12.48
(43)
[0.049]
27.64
(39)
[-0.005]
26.92
(37)
[-0.038]
17.80
(21)
[-0.564]
15.13
(17)
[-0.804]
66.53
(24)
[0.343]
75.75
(24)
[0.411]
82.19
(27)
[0.323]
24.25
(24)
[-0.411]
4.17
(33)
[-0.264]
76.10
(22)
[0.433]
63.63
(28)
[0.302]
6.72
(34)
[-0.032]
77.48
(21)
[0.422]
20.47
(42)
[0.127]
11.25
(33)
[-0.249]
35.25
(25)
[-0.238]
26.03
(19)
[-0.510]
75.75
(24)
[0.332]
68.47
(25)
[0.264]
68.43
(25)
[0.246]
17.13
(25)
[-0.278]
75.42
(25)
[0.319]
6.47
(20)
[-0.510]
21.84
(34)
[-0.206]
76.07
(23)
[0.448]
11.22
(24)
[-0.395]
66.22
(23)
[0.326]
59.42
(24)
[0.206]
73.37
(23)
[0.328]
73.72
(23)
[0.275]
74.33
(30)
[0.186]
73.83
(32)
[0.135]
8.02
(25)
[-0.049]
 32.  xiaofang's LocalGlobalGraph color  [normal] 0 1 0 0  76.67 
 (27.44) 
 [0.267] 
41.42
(32)
[-0.172]
15.04
(38)
[-0.115]
12.48
(43)
[0.049]
27.64
(39)
[-0.005]
26.92
(37)
[-0.038]
17.80
(21)
[-0.564]
15.13
(17)
[-0.804]
66.53
(24)
[0.343]
75.75
(24)
[0.411]
82.19
(27)
[0.323]
24.25
(24)
[-0.411]
4.17
(33)
[-0.264]
76.10
(22)
[0.433]
63.63
(28)
[0.302]
6.72
(34)
[-0.032]
77.48
(21)
[0.422]
20.47
(42)
[0.127]
11.25
(33)
[-0.249]
35.25
(25)
[-0.238]
26.03
(19)
[-0.510]
75.75
(24)
[0.332]
68.47
(25)
[0.264]
68.43
(25)
[0.246]
17.13
(25)
[-0.278]
75.42
(25)
[0.319]
6.47
(20)
[-0.510]
21.84
(34)
[-0.206]
76.07
(23)
[0.448]
11.22
(24)
[-0.395]
66.22
(23)
[0.326]
59.42
(24)
[0.206]
73.37
(23)
[0.328]
73.72
(23)
[0.275]
74.33
(30)
[0.186]
73.83
(32)
[0.135]
8.02
(25)
[-0.049]
 34.  rohit.iiith's Graph based Segmentation   [normal] 0 0 0 1  71.66 
 (34.61) 
 [-0.033] 
40.32
(34)
[-0.218]
14.75
(37)
[-0.130]
24.05
(51)
[1.067]
26.74
(35)
[-0.041]
24.43
(33)
[-0.139]
25.10
(31)
[-0.275]
45.01
(36)
[0.084]
57.45
(37)
[-0.071]
69.00
(33)
[0.091]
74.51
(39)
[-0.035]
31.00
(33)
[-0.091]
7.58
(43)
[0.494]
65.86
(39)
[-0.048]
55.81
(36)
[0.018]
8.90
(45)
[0.501]
68.46
(38)
[-0.011]
17.54
(37)
[-0.113]
8.99
(30)
[-0.450]
40.34
(31)
[0.059]
31.79
(28)
[-0.162]
69.00
(34)
[-0.119]
64.12
(31)
[0.004]
61.80
(36)
[-0.157]
18.83
(32)
[-0.122]
69.96
(35)
[-0.068]
7.27
(26)
[-0.335]
21.14
(29)
[-0.259]
71.82
(28)
[0.182]
16.27
(39)
[0.235]
57.53
(33)
[-0.120]
53.34
(33)
[-0.133]
68.06
(33)
[-0.014]
69.35
(33)
[-0.023]
61.84
(42)
[-0.562]
79.58
(25)
[0.478]
8.43
(31)
[0.068]
 35.  borkojos's cooccurence&naive bayes   [normal] CL 1 0 1 0  69.38 
 (35.94) 
 [-0.170] 
39.12
(35)
[-0.268]
0.00
(1)
[-0.889]
1.92
(9)
[-0.881]
54.14
(48)
[1.058]
54.79
(48)
[1.087]
26.75
(32)
[-0.209]
29.46
(29)
[-0.378]
59.27
(34)
[0.012]
70.76
(32)
[0.174]
75.10
(38)
[-0.007]
29.24
(32)
[-0.174]
4.85
(38)
[-0.113]
70.29
(31)
[0.160]
56.14
(35)
[0.030]
6.65
(33)
[-0.049]
71.51
(33)
[0.135]
32.19
(49)
[1.083]
25.91
(49)
[1.052]
42.77
(35)
[0.201]
36.48
(34)
[0.122]
72.83
(30)
[0.137]
61.79
(35)
[-0.135]
62.21
(35)
[-0.132]
24.01
(44)
[0.353]
69.08
(36)
[-0.131]
10.89
(44)
[0.449]
35.76
(49)
[0.849]
60.31
(46)
[-0.541]
14.22
(34)
[-0.020]
56.17
(36)
[-0.189]
50.26
(37)
[-0.305]
65.23
(37)
[-0.196]
65.48
(39)
[-0.288]
64.84
(41)
[-0.382]
66.61
(40)
[-0.296]
9.39
(36)
[0.340]
 36.  jolen217's Deep Brain Model   [large] 0 0 0 0  67.18 
 (34.92) 
 [-0.253] 
38.00
(36)
[-0.315]
41.53
(51)
[1.248]
52.52
(59)
[3.573]
4.21
(8)
[-0.945]
5.46
(10)
[-0.905]
45.27
(45)
[0.526]
99.63
(54)
[1.708]
51.84
(41)
[-0.327]
64.66
(38)
[-0.115]
72.83
(41)
[-0.113]
35.34
(38)
[0.115]
9.89
(49)
[1.006]
58.77
(42)
[-0.382]
49.29
(41)
[-0.219]
2.88
(6)
[-0.971]
61.50
(42)
[-0.345]
10.61
(15)
[-0.678]
5.14
(8)
[-0.792]
45.13
(38)
[0.339]
39.65
(38)
[0.314]
64.66
(39)
[-0.409]
60.14
(37)
[-0.233]
58.32
(39)
[-0.369]
19.20
(33)
[-0.088]
62.95
(42)
[-0.565]
8.48
(33)
[-0.073]
10.29
(5)
[-1.081]
65.13
(41)
[-0.238]
23.02
(50)
[1.075]
51.62
(42)
[-0.423]
49.93
(38)
[-0.323]
64.37
(39)
[-0.252]
67.76
(35)
[-0.132]
55.31
(48)
[-0.953]
88.07
(7)
[0.985]
8.26
(29)
[0.021]
 37.  test's TBES 1.0  [normal] 0 0 0 0  72.22 
 (28.39) 
 [0.100] 
37.72
(37)
[-0.327]
59.77
(58)
[2.187]
1.25
(7)
[-0.940]
7.24
(13)
[-0.824]
8.22
(15)
[-0.793]
27.55
(33)
[-0.177]
95.08
(52)
[1.572]
63.30
(31)
[0.196]
65.66
(36)
[-0.067]
96.20
(5)
[0.977]
34.34
(36)
[0.067]
0.60
(5)
[-1.057]
74.19
(26)
[0.343]
63.73
(27)
[0.306]
5.27
(27)
[-0.386]
77.29
(23)
[0.413]
7.57
(9)
[-0.926]
6.02
(15)
[-0.713]
44.81
(37)
[0.320]
43.26
(41)
[0.532]
65.66
(37)
[-0.342]
56.32
(40)
[-0.460]
63.34
(32)
[-0.063]
19.40
(34)
[-0.070]
75.45
(24)
[0.321]
8.76
(36)
[-0.012]
18.00
(21)
[-0.497]
75.24
(25)
[0.396]
10.93
(21)
[-0.430]
60.46
(31)
[0.030]
51.10
(35)
[-0.258]
66.22
(34)
[-0.133]
69.21
(34)
[-0.033]
91.55
(5)
[1.218]
53.39
(52)
[-1.085]
8.10
(28)
[-0.027]
 38.  xaos's AR3D+EM 1.0  [normal] 0 0 0 0  69.54 
 (33.44) 
 [-0.074] 
37.42
(38)
[-0.340]
59.53
(56)
[2.174]
8.86
(27)
[-0.270]
12.54
(23)
[-0.611]
13.14
(23)
[-0.595]
34.32
(37)
[0.091]
100.00
(55)
[1.719]
59.46
(33)
[0.021]
64.81
(37)
[-0.107]
91.79
(11)
[0.771]
35.19
(37)
[0.107]
3.39
(26)
[-0.437]
69.60
(33)
[0.127]
58.89
(33)
[0.130]
4.88
(23)
[-0.481]
73.15
(31)
[0.214]
12.13
(23)
[-0.554]
6.70
(16)
[-0.653]
47.22
(40)
[0.461]
41.79
(40)
[0.443]
64.81
(38)
[-0.399]
54.85
(41)
[-0.548]
61.34
(37)
[-0.185]
19.76
(35)
[-0.037]
72.15
(32)
[0.087]
9.84
(40)
[0.222]
18.31
(22)
[-0.473]
69.70
(32)
[0.049]
15.43
(37)
[0.131]
55.99
(37)
[-0.199]
49.12
(39)
[-0.369]
64.44
(38)
[-0.247]
67.22
(36)
[-0.169]
78.72
(22)
[0.449]
61.85
(43)
[-0.580]
8.65
(33)
[0.131]
 39.  xaos's GMRF+EM 2.0  [normal] 0 0 0 0  68.15 
 (35.83) 
 [-0.161] 
31.93
(39)
[-0.570]
53.27
(55)
[1.852]
11.24
(39)
[-0.061]
14.97
(26)
[-0.513]
16.91
(27)
[-0.442]
33.61
(36)
[0.063]
100.00
(55)
[1.719]
57.91
(36)
[-0.050]
63.51
(40)
[-0.169]
89.26
(17)
[0.653]
36.49
(40)
[0.169]
3.14
(23)
[-0.494]
68.41
(35)
[0.072]
57.42
(34)
[0.076]
4.86
(22)
[-0.487]
71.80
(32)
[0.149]
16.04
(30)
[-0.235]
7.31
(21)
[-0.599]
48.88
(41)
[0.558]
40.15
(39)
[0.343]
63.51
(41)
[-0.486]
53.52
(43)
[-0.627]
59.43
(38)
[-0.301]
20.63
(37)
[0.043]
70.55
(33)
[-0.027]
10.20
(41)
[0.300]
19.02
(25)
[-0.419]
69.24
(33)
[0.020]
15.27
(36)
[0.110]
53.30
(40)
[-0.336]
46.11
(42)
[-0.537]
61.88
(41)
[-0.412]
64.08
(41)
[-0.383]
75.46
(29)
[0.254]
57.53
(46)
[-0.838]
9.46
(37)
[0.360]
 40.  xiaofang's weighted_color_patch   [normal] 0 0 0 0  68.23 
 (38.75) 
 [-0.248] 
30.92
(40)
[-0.612]
4.12
(16)
[-0.677]
26.67
(52)
[1.298]
37.40
(44)
[0.387]
35.72
(44)
[0.317]
41.32
(40)
[0.369]
28.70
(28)
[-0.401]
53.55
(40)
[-0.249]
67.49
(35)
[0.019]
63.39
(46)
[-0.554]
32.51
(35)
[-0.019]
6.60
(40)
[0.276]
62.69
(40)
[-0.198]
51.23
(40)
[-0.149]
9.34
(47)
[0.609]
64.00
(40)
[-0.225]
20.29
(40)
[0.111]
14.82
(43)
[0.068]
43.88
(36)
[0.266]
38.42
(36)
[0.239]
67.49
(36)
[-0.220]
61.93
(34)
[-0.126]
58.22
(41)
[-0.375]
22.27
(39)
[0.193]
60.97
(45)
[-0.706]
8.50
(34)
[-0.068]
28.31
(43)
[0.284]
65.70
(40)
[-0.202]
16.83
(40)
[0.305]
54.93
(38)
[-0.253]
50.40
(36)
[-0.297]
65.57
(36)
[-0.174]
66.85
(37)
[-0.194]
59.53
(44)
[-0.700]
76.91
(29)
[0.319]
9.89
(41)
[0.484]
 41.  test's HGS  [normal] 0 0 0 0  65.01 
 (42.53) 
 [-0.521] 
29.81
(41)
[-0.659]
10.69
(26)
[-0.338]
33.76
(56)
[1.921]
26.89
(36)
[-0.035]
25.04
(34)
[-0.114]
48.94
(46)
[0.671]
32.39
(32)
[-0.291]
49.60
(43)
[-0.429]
63.37
(41)
[-0.176]
66.09
(45)
[-0.428]
36.63
(41)
[0.176]
13.51
(55)
[1.809]
58.74
(43)
[-0.383]
46.63
(43)
[-0.316]
13.31
(54)
[1.581]
61.17
(44)
[-0.361]
16.75
(34)
[-0.177]
10.46
(32)
[-0.319]
49.80
(43)
[0.612]
43.51
(43)
[0.547]
63.37
(42)
[-0.495]
57.52
(39)
[-0.389]
53.33
(45)
[-0.672]
22.90
(40)
[0.251]
58.60
(47)
[-0.874]
9.46
(38)
[0.140]
30.28
(45)
[0.433]
57.28
(48)
[-0.731]
27.95
(56)
[1.689]
41.52
(46)
[-0.941]
43.98
(44)
[-0.655]
58.92
(44)
[-0.603]
62.21
(43)
[-0.511]
50.58
(50)
[-1.236]
81.27
(23)
[0.579]
11.42
(49)
[0.920]
 42.  LiRa's ==   [normal] CL 1 0 0 0  52.37 
 (42.03) 
 [-0.843] 
29.72
(42)
[-0.663]
41.22
(50)
[1.232]
6.48
(22)
[-0.480]
27.12
(37)
[-0.026]
29.19
(40)
[0.054]
100.00
(59)
[2.698]
100.00
(55)
[1.719]
0.00
(59)
[-2.693]
0.00
(59)
[-3.180]
0.00
(59)
[-3.513]
100.00
(59)
[3.180]
0.00
(1)
[-1.190]
0.00
(59)
[-3.145]
0.00
(57)
[-2.013]
0.00
(1)
[-1.676]
0.00
(59)
[-3.298]
19.97
(39)
[0.085]
13.74
(41)
[-0.028]
49.53
(42)
[0.597]
43.31
(42)
[0.535]
63.33
(43)
[-0.498]
53.12
(44)
[-0.651]
58.28
(40)
[-0.371]
23.19
(41)
[0.277]
68.16
(39)
[-0.196]
11.10
(45)
[0.495]
21.46
(32)
[-0.235]
66.55
(38)
[-0.149]
13.59
(31)
[-0.099]
54.00
(39)
[-0.300]
46.16
(41)
[-0.534]
61.71
(42)
[-0.423]
63.43
(42)
[-0.427]
76.51
(26)
[0.317]
54.02
(49)
[-1.047]
9.72
(39)
[0.436]
 43.  test's EGBIS   [normal] 0 0 0 0  66.03 
 (40.31) 
 [-0.366] 
28.78
(43)
[-0.703]
19.69
(47)
[0.124]
39.15
(57)
[2.396]
20.42
(31)
[-0.295]
21.54
(31)
[-0.256]
44.35
(43)
[0.489]
82.87
(46)
[1.210]
51.10
(42)
[-0.361]
64.12
(39)
[-0.140]
72.73
(42)
[-0.118]
35.88
(39)
[0.140]
7.59
(44)
[0.494]
59.88
(41)
[-0.330]
49.03
(42)
[-0.229]
8.38
(42)
[0.373]
63.11
(41)
[-0.268]
16.64
(32)
[-0.186]
8.97
(29)
[-0.452]
46.67
(39)
[0.429]
39.00
(37)
[0.274]
64.12
(40)
[-0.445]
58.75
(38)
[-0.316]
56.28
(42)
[-0.493]
21.29
(38)
[0.103]
62.16
(43)
[-0.622]
8.58
(35)
[-0.052]
21.24
(31)
[-0.251]
66.50
(39)
[-0.152]
19.72
(45)
[0.665]
49.98
(44)
[-0.506]
46.39
(40)
[-0.521]
62.19
(40)
[-0.392]
64.19
(40)
[-0.376]
55.71
(46)
[-0.929]
76.97
(28)
[0.322]
13.05
(55)
[1.383]
 44.  test's HGS  [normal] 0 0 0 0  60.24 
 (46.33) 
 [-0.927] 
27.57
(44)
[-0.753]
8.63
(23)
[-0.444]
45.82
(58)
[2.983]
27.22
(38)
[-0.022]
26.54
(36)
[-0.054]
53.84
(49)
[0.866]
35.44
(33)
[-0.200]
43.74
(46)
[-0.697]
58.05
(44)
[-0.428]
56.48
(50)
[-0.877]
41.95
(44)
[0.428]
19.99
(59)
[3.250]
51.11
(47)
[-0.742]
37.41
(46)
[-0.652]
19.29
(59)
[3.042]
53.33
(48)
[-0.737]
17.20
(35)
[-0.140]
13.62
(40)
[-0.039]
53.08
(47)
[0.804]
49.49
(50)
[0.909]
58.05
(49)
[-0.850]
54.07
(42)
[-0.595]
48.87
(47)
[-0.943]
27.12
(46)
[0.639]
53.36
(51)
[-1.246]
14.08
(52)
[1.142]
34.51
(48)
[0.754]
51.59
(50)
[-1.088]
35.99
(59)
[2.691]
36.13
(51)
[-1.216]
40.54
(46)
[-0.847]
54.16
(49)
[-0.910]
58.24
(46)
[-0.782]
44.09
(55)
[-1.625]
82.17
(22)
[0.632]
16.69
(59)
[2.417]
 45.  test's JSEG   [normal] 0 0 0 0  65.97 
 (39.25) 
 [-0.282] 
27.47
(45)
[-0.757]
38.62
(49)
[1.098]
5.04
(17)
[-0.607]
35.00
(43)
[0.290]
35.50
(43)
[0.308]
37.94
(39)
[0.235]
92.77
(50)
[1.504]
55.29
(38)
[-0.170]
61.81
(42)
[-0.250]
87.70
(23)
[0.581]
38.19
(42)
[0.250]
3.66
(27)
[-0.378]
66.74
(37)
[-0.007]
55.14
(38)
[-0.007]
4.96
(25)
[-0.464]
70.27
(36)
[0.076]
18.45
(38)
[-0.038]
11.64
(36)
[-0.215]
50.79
(44)
[0.670]
43.98
(44)
[0.575]
61.81
(45)
[-0.599]
51.94
(45)
[-0.722]
56.24
(43)
[-0.495]
23.38
(42)
[0.295]
66.85
(40)
[-0.289]
10.68
(43)
[0.405]
21.23
(30)
[-0.252]
67.54
(36)
[-0.087]
15.19
(35)
[0.100]
50.96
(43)
[-0.456]
44.46
(43)
[-0.629]
59.81
(43)
[-0.545]
61.42
(45)
[-0.565]
72.27
(34)
[0.063]
54.02
(50)
[-1.047]
9.82
(40)
[0.464]
f1 f2 f3 f4 AVG
RANK
NORM
criterion 'CS' (correct segmentation) in descending orderCS
45.51
±23.82
OS
17.27
±19.43
US
11.93
±11.36
ME
27.76
±24.93
NE
27.87
±24.77
O
32.02
±25.20
C
42.18
±33.64
CA
59.00
±21.91
CO
67.08
±21.10
CC
75.26
±21.42
I
32.92
±21.10
II
5.36
±4.50
EA
66.89
±21.27
MS
55.32
±27.49
RM
6.85
±4.09
CI
68.69
±20.82
GCE
18.92
±12.26
LCE
14.06
±11.27
BCE
39.33
±17.10
GBCE
34.47
±16.53
BGM
70.78
±14.98
SC
64.05
±16.78
SSC
64.38
±16.44
VD
20.16
±10.90
L
70.92
±14.09
AVI
8.82
±4.61
NVI
24.56
±13.20
NMI
68.92
±15.94
M
14.38
±8.03
ARI
59.86
±19.51
JC
55.73
±17.92
DC
68.28
±15.51
FMI
69.70
±14.65
WI
71.22
±16.70
WII
71.57
±16.76
NBDE
8.19
±3.52
 46.  test's SWA def_par  [normal] 0 1 0 0  66.59 
 (38.25) 
 [-0.253] 
27.06
(46)
[-0.775]
50.21
(53)
[1.695]
4.53
(16)
[-0.651]
25.76
(33)
[-0.080]
27.50
(39)
[-0.015]
33.01
(35)
[0.039]
85.19
(47)
[1.279]
54.84
(39)
[-0.190]
60.67
(43)
[-0.304]
88.17
(21)
[0.602]
39.33
(43)
[0.304]
2.11
(16)
[-0.722]
66.94
(36)
[0.003]
53.71
(39)
[-0.059]
6.11
(29)
[-0.181]
70.32
(35)
[0.078]
17.27
(36)
[-0.134]
11.50
(35)
[-0.227]
50.96
(45)
[0.680]
45.18
(46)
[0.648]
60.67
(46)
[-0.675]
51.56
(47)
[-0.744]
55.84
(44)
[-0.520]
24.20
(45)
[0.370]
69.05
(37)
[-0.133]
9.75
(39)
[0.202]
21.56
(33)
[-0.227]
70.86
(30)
[0.122]
13.68
(32)
[-0.088]
51.67
(41)
[-0.420]
43.43
(45)
[-0.686]
58.77
(45)
[-0.613]
61.69
(44)
[-0.547]
79.03
(21)
[0.468]
51.05
(54)
[-1.224]
10.34
(42)
[0.612]
 47.  leskajur's LFM + kNN   [normal] CL 1 0 1 0  55.02 
 (48.58) 
 [-1.002] 
26.00
(47)
[-0.819]
5.01
(19)
[-0.631]
9.42
(31)
[-0.221]
60.96
(51)
[1.332]
59.65
(50)
[1.283]
66.89
(53)
[1.384]
60.33
(43)
[0.540]
31.40
(53)
[-1.260]
43.31
(51)
[-1.127]
48.73
(55)
[-1.238]
56.69
(51)
[1.127]
11.45
(52)
[1.353]
39.22
(54)
[-1.301]
14.96
(54)
[-1.468]
13.51
(55)
[1.628]
41.76
(54)
[-1.293]
33.27
(50)
[1.170]
27.61
(50)
[1.203]
54.71
(48)
[0.899]
49.05
(49)
[0.882]
59.22
(48)
[-0.772]
50.90
(48)
[-0.783]
48.17
(49)
[-0.986]
30.99
(48)
[0.993]
54.01
(50)
[-1.200]
12.73
(48)
[0.849]
41.80
(51)
[1.307]
48.43
(52)
[-1.286]
23.69
(52)
[1.159]
39.50
(49)
[-1.044]
39.26
(49)
[-0.919]
54.30
(48)
[-0.900]
55.74
(49)
[-0.952]
47.16
(52)
[-1.441]
67.36
(38)
[-0.251]
10.97
(48)
[0.790]
 48.  luptarad's laws masks & kNN 1.0  [normal] CL 1 0 1 0  57.44 
 (47.36) 
 [-0.871] 
24.57
(48)
[-0.879]
4.40
(17)
[-0.662]
9.46
(32)
[-0.218]
58.04
(49)
[1.215]
55.34
(49)
[1.109]
51.04
(47)
[0.755]
47.53
(39)
[0.159]
36.75
(49)
[-1.016]
49.97
(50)
[-0.811]
51.28
(52)
[-1.119]
50.03
(50)
[0.811]
7.75
(45)
[0.530]
45.09
(52)
[-1.025]
24.95
(52)
[-1.105]
11.67
(51)
[1.178]
47.24
(53)
[-1.030]
33.82
(51)
[1.215]
28.69
(52)
[1.298]
54.77
(49)
[0.903]
49.64
(51)
[0.918]
59.71
(47)
[-0.740]
51.67
(46)
[-0.738]
48.01
(50)
[-0.996]
31.26
(50)
[1.018]
55.09
(49)
[-1.123]
13.10
(49)
[0.929]
43.21
(52)
[1.413]
47.59
(53)
[-1.339]
22.73
(48)
[1.040]
41.16
(47)
[-0.959]
39.98
(47)
[-0.879]
54.99
(47)
[-0.856]
56.46
(47)
[-0.903]
49.53
(51)
[-1.299]
66.56
(41)
[-0.299]
10.40
(43)
[0.629]
 49.  test's Blobworld   [normal] 0 0 0 0  59.72 
 (45.75) 
 [-0.725] 
21.01
(49)
[-1.028]
7.33
(21)
[-0.511]
9.30
(29)
[-0.232]
59.55
(50)
[1.275]
61.68
(51)
[1.365]
41.45
(41)
[0.374]
58.94
(42)
[0.498]
46.23
(44)
[-0.583]
56.04
(46)
[-0.523]
73.62
(40)
[-0.076]
43.96
(46)
[0.523]
6.72
(41)
[0.301]
58.37
(44)
[-0.400]
40.36
(44)
[-0.544]
7.96
(40)
[0.270]
61.31
(43)
[-0.354]
31.16
(48)
[0.999]
23.19
(47)
[0.810]
56.72
(51)
[1.017]
48.75
(48)
[0.864]
56.04
(51)
[-0.984]
45.75
(51)
[-1.090]
48.66
(48)
[-0.956]
31.11
(49)
[1.005]
61.54
(44)
[-0.666]
12.33
(47)
[0.763]
32.70
(46)
[0.617]
57.36
(47)
[-0.726]
20.03
(47)
[0.703]
39.74
(48)
[-1.031]
36.22
(51)
[-1.089]
51.87
(51)
[-1.057]
52.90
(50)
[-1.147]
55.64
(47)
[-0.933]
52.32
(53)
[-1.148]
12.18
(52)
[1.134]
 50.  veselj38's Histogram ratio features 1.21  [normal] CL 1 0 0 0  48.48 
 (48.67) 
 [-1.242] 
20.64
(50)
[-1.044]
8.84
(24)
[-0.434]
5.46
(18)
[-0.570]
62.70
(52)
[1.402]
62.78
(52)
[1.409]
95.42
(57)
[2.516]
94.85
(51)
[1.566]
9.45
(57)
[-2.262]
13.85
(57)
[-2.523]
17.65
(57)
[-2.689]
86.15
(57)
[2.523]
13.72
(56)
[1.857]
13.61
(57)
[-2.505]
-19.75
(58)
[-2.731]
10.26
(48)
[0.835]
14.53
(57)
[-2.601]
37.36
(52)
[1.504]
28.64
(51)
[1.295]
52.75
(46)
[0.785]
44.03
(45)
[0.579]
62.26
(44)
[-0.569]
50.86
(49)
[-0.786]
51.47
(46)
[-0.786]
30.55
(47)
[0.953]
60.33
(46)
[-0.752]
12.01
(46)
[0.693]
40.10
(50)
[1.178]
56.09
(49)
[-0.806]
17.96
(44)
[0.446]
44.52
(45)
[-0.787]
39.60
(48)
[-0.900]
55.83
(46)
[-0.802]
56.19
(48)
[-0.922]
57.90
(45)
[-0.798]
55.22
(47)
[-0.975]
11.44
(50)
[0.925]
 51.  ales.hejl's ed_ah  [normal] 0 0 0 0  55.83 
 (43.86) 
 [-0.855] 
17.54
(51)
[-1.174]
52.99
(54)
[1.838]
0.00
(1)
[-1.050]
30.29
(41)
[0.101]
34.59
(42)
[0.272]
64.37
(52)
[1.284]
100.00
(55)
[1.719]
38.26
(48)
[-0.947]
40.46
(53)
[-1.262]
92.77
(9)
[0.818]
59.54
(53)
[1.262]
1.28
(8)
[-0.907]
48.85
(48)
[-0.848]
37.89
(45)
[-0.634]
3.74
(13)
[-0.760]
55.96
(46)
[-0.611]
13.12
(24)
[-0.473]
11.91
(37)
[-0.191]
69.24
(56)
[1.749]
68.03
(57)
[2.030]
40.46
(57)
[-2.025]
31.85
(56)
[-1.919]
38.40
(56)
[-1.580]
34.18
(51)
[1.286]
51.81
(53)
[-1.356]
17.88
(55)
[1.967]
25.68
(39)
[0.085]
60.66
(45)
[-0.519]
16.10
(38)
[0.214]
35.27
(52)
[-1.261]
28.30
(56)
[-1.531]
41.55
(56)
[-1.723]
48.37
(53)
[-1.455]
85.00
(14)
[0.825]
30.21
(58)
[-2.467]
10.65
(47)
[0.701]
 52.  pavelm10's base   [large] 0 0 0 0  57.57 
 (46.89) 
 [-0.869] 
15.03
(52)
[-1.280]
7.45
(22)
[-0.505]
5.73
(19)
[-0.546]
71.45
(53)
[1.753]
70.33
(53)
[1.715]
42.80
(42)
[0.428]
43.04
(35)
[0.026]
44.01
(45)
[-0.685]
57.43
(45)
[-0.457]
63.10
(48)
[-0.568]
42.57
(45)
[0.457]
8.47
(46)
[0.690]
57.00
(45)
[-0.465]
36.17
(47)
[-0.697]
8.11
(41)
[0.308]
58.55
(45)
[-0.487]
41.99
(55)
[1.882]
33.47
(55)
[1.723]
56.18
(50)
[0.985]
47.66
(47)
[0.798]
57.43
(50)
[-0.892]
46.82
(50)
[-1.027]
46.31
(51)
[-1.100]
35.13
(52)
[1.373]
56.79
(48)
[-1.003]
13.15
(50)
[0.939]
44.70
(53)
[1.526]
51.24
(51)
[-1.110]
19.90
(46)
[0.687]
39.36
(50)
[-1.051]
36.47
(50)
[-1.075]
52.04
(50)
[-1.047]
52.32
(51)
[-1.186]
51.41
(49)
[-1.187]
53.79
(51)
[-1.061]
10.55
(46)
[0.672]
 53.  Alojz's TAlgorithm 0.1  [normal] 0 0 1 0  52.97 
 (50.83) 
 [-1.251] 
13.11
(53)
[-1.360]
11.94
(30)
[-0.275]
8.18
(26)
[-0.330]
76.71
(56)
[1.964]
77.30
(56)
[1.996]
44.41
(44)
[0.491]
46.76
(38)
[0.136]
40.40
(47)
[-0.849]
52.42
(48)
[-0.695]
63.23
(47)
[-0.562]
47.58
(48)
[0.695]
12.47
(54)
[1.579]
52.83
(46)
[-0.661]
31.07
(49)
[-0.882]
14.09
(56)
[1.771]
55.02
(47)
[-0.656]
45.06
(57)
[2.132]
37.72
(56)
[2.101]
61.44
(53)
[1.293]
54.10
(52)
[1.188]
52.42
(53)
[-1.226]
41.97
(53)
[-1.316]
41.82
(52)
[-1.372]
39.59
(56)
[1.782]
51.93
(52)
[-1.348]
18.79
(56)
[2.163]
47.89
(55)
[1.768]
44.63
(54)
[-1.524]
25.93
(54)
[1.438]
32.97
(53)
[-1.379]
31.47
(54)
[-1.354]
45.98
(54)
[-1.437]
46.62
(55)
[-1.575]
46.86
(53)
[-1.459]
47.76
(55)
[-1.421]
15.50
(58)
[2.079]
 54.  test's EDISON 1.1  [normal] 0 0 0 0  53.36 
 (41.58) 
 [-0.999] 
12.68
(54)
[-1.378]
86.91
(59)
[3.583]
0.00
(1)
[-1.050]
2.48
(4)
[-1.015]
4.68
(9)
[-0.936]
73.17
(55)
[1.633]
100.00
(55)
[1.719]
31.19
(54)
[-1.270]
31.55
(56)
[-1.684]
98.09
(2)
[1.066]
68.45
(56)
[1.684]
0.24
(2)
[-1.137]
41.29
(53)
[-1.204]
31.13
(48)
[-0.880]
3.21
(10)
[-0.890]
50.29
(49)
[-0.883]
3.55
(3)
[-1.254]
3.44
(3)
[-0.943]
77.11
(59)
[2.210]
77.00
(59)
[2.573]
31.55
(59)
[-2.620]
23.11
(59)
[-2.439]
31.19
(58)
[-2.019]
35.37
(53)
[1.395]
44.44
(58)
[-1.879]
20.23
(58)
[2.478]
26.13
(40)
[0.119]
62.00
(43)
[-0.434]
16.84
(41)
[0.306]
28.00
(56)
[-1.633]
21.64
(58)
[-1.903]
32.51
(59)
[-2.305]
42.66
(57)
[-1.845]
95.06
(3)
[1.428]
21.85
(59)
[-2.967]
10.49
(45)
[0.655]
 55.  jirkujak's LBP 3,1  [normal] CL 1 0 1 0  48.96 
 (52.03) 
 [-1.408] 
12.16
(55)
[-1.400]
0.00
(1)
[-0.889]
9.67
(35)
[-0.199]
75.55
(54)
[1.917]
74.24
(54)
[1.872]
72.24
(54)
[1.596]
51.36
(40)
[0.273]
26.31
(55)
[-1.492]
40.38
(54)
[-1.266]
51.72
(51)
[-1.099]
59.62
(54)
[1.266]
10.11
(50)
[1.055]
35.36
(55)
[-1.483]
10.56
(55)
[-1.628]
17.37
(58)
[2.572]
39.04
(55)
[-1.424]
37.54
(53)
[1.519]
31.64
(53)
[1.560]
63.95
(55)
[1.440]
58.04
(54)
[1.426]
50.06
(55)
[-1.384]
41.51
(55)
[-1.343]
38.46
(55)
[-1.577]
37.57
(55)
[1.597]
45.85
(56)
[-1.779]
14.95
(53)
[1.331]
50.03
(56)
[1.929]
36.86
(57)
[-2.012]
30.94
(57)
[2.062]
24.97
(57)
[-1.789]
29.64
(55)
[-1.456]
44.62
(55)
[-1.525]
46.39
(56)
[-1.591]
36.80
(58)
[-2.061]
59.78
(44)
[-0.703]
12.95
(54)
[1.355]
 56.  guloleg's HOG  [normal] 1 0 1 0  53.15 
 (50.11) 
 [-1.166] 
11.59
(56)
[-1.424]
1.54
(9)
[-0.810]
9.62
(34)
[-0.204]
76.51
(55)
[1.956]
77.17
(55)
[1.991]
51.11
(48)
[0.757]
46.26
(37)
[0.121]
35.67
(50)
[-1.065]
52.72
(47)
[-0.680]
49.37
(53)
[-1.209]
47.28
(47)
[0.680]
12.13
(53)
[1.503]
47.43
(49)
[-0.915]
29.09
(50)
[-0.954]
12.53
(52)
[1.389]
49.14
(50)
[-0.939]
37.69
(54)
[1.531]
32.92
(54)
[1.674]
60.40
(52)
[1.232]
55.62
(53)
[1.280]
52.72
(52)
[-1.206]
43.59
(52)
[-1.219]
41.08
(53)
[-1.417]
36.90
(54)
[1.536]
50.46
(54)
[-1.452]
13.59
(51)
[1.036]
46.09
(54)
[1.631]
42.23
(55)
[-1.675]
27.03
(55)
[1.575]
30.87
(55)
[-1.486]
33.00
(52)
[-1.269]
48.91
(52)
[-1.248]
49.98
(52)
[-1.345]
42.69
(57)
[-1.709]
59.55
(45)
[-0.717]
12.24
(53)
[1.153]
 57.  py's CGCHI   [large] 0 0 0 0  51.34 
 (50.64) 
 [-1.241] 
10.94
(57)
[-1.451]
2.19
(14)
[-0.776]
3.96
(14)
[-0.701]
81.91
(57)
[2.172]
81.39
(57)
[2.161]
59.33
(50)
[1.084]
51.77
(41)
[0.285]
35.62
(51)
[-1.067]
50.50
(49)
[-0.786]
49.27
(54)
[-1.213]
49.50
(49)
[0.786]
10.69
(51)
[1.184]
47.04
(50)
[-0.933]
26.89
(51)
[-1.034]
10.28
(49)
[0.839]
48.39
(51)
[-0.975]
42.35
(56)
[1.911]
38.59
(57)
[2.177]
62.15
(54)
[1.334]
58.39
(55)
[1.447]
50.50
(54)
[-1.355]
41.93
(54)
[-1.318]
39.53
(54)
[-1.512]
40.15
(57)
[1.833]
48.15
(55)
[-1.616]
15.31
(54)
[1.408]
50.16
(57)
[1.939]
39.47
(56)
[-1.849]
25.32
(53)
[1.363]
30.89
(54)
[-1.485]
31.50
(53)
[-1.352]
46.39
(53)
[-1.411]
47.54
(54)
[-1.512]
43.30
(56)
[-1.672]
54.28
(48)
[-1.032]
10.44
(44)
[0.641]
 58.  siddharth's My algo1 0.1  [normal] 0 0 0 0  46.12 
 (52.00) 
 [-1.541] 
6.21
(58)
[-1.650]
4.72
(18)
[-0.646]
1.24
(6)
[-0.941]
86.25
(59)
[2.346]
86.52
(59)
[2.368]
59.41
(51)
[1.087]
70.16
(44)
[0.832]
31.76
(52)
[-1.244]
40.60
(52)
[-1.255]
61.24
(49)
[-0.655]
59.41
(52)
[1.255]
7.01
(42)
[0.367]
45.21
(51)
[-1.019]
20.36
(53)
[-1.272]
9.33
(46)
[0.607]
47.85
(52)
[-1.000]
51.10
(58)
[2.625]
46.25
(58)
[2.857]
70.95
(57)
[1.849]
66.10
(56)
[1.913]
40.60
(56)
[-2.016]
30.85
(57)
[-1.978]
32.95
(57)
[-1.912]
47.91
(58)
[2.546]
45.58
(57)
[-1.798]
19.24
(57)
[2.261]
54.43
(58)
[2.263]
36.40
(58)
[-2.041]
22.77
(49)
[1.045]
22.97
(58)
[-1.891]
22.58
(57)
[-1.850]
35.98
(57)
[-2.082]
37.05
(58)
[-2.228]
45.58
(54)
[-1.536]
30.81
(57)
[-2.432]
11.62
(51)
[0.974]
 59.  mahelpet's noname   [normal] 1 0 0 0  39.59 
 (55.36) 
 [-2.020] 
3.83
(59)
[-1.750]
0.00
(1)
[-0.889]
12.17
(42)
[0.021]
85.20
(58)
[2.304]
85.02
(58)
[2.308]
78.47
(56)
[1.843]
72.17
(45)
[0.891]
21.29
(56)
[-1.722]
36.59
(55)
[-1.445]
34.58
(56)
[-1.899]
63.41
(55)
[1.445]
15.70
(58)
[2.296]
31.91
(56)
[-1.645]
4.88
(56)
[-1.835]
14.13
(57)
[1.781]
33.63
(56)
[-1.683]
53.56
(59)
[2.825]
49.11
(59)
[3.111]
75.05
(58)
[2.089]
70.61
(58)
[2.186]
36.59
(58)
[-2.284]
28.80
(58)
[-2.100]
26.36
(59)
[-2.313]
50.56
(59)
[2.788]
34.75
(59)
[-2.567]
20.67
(59)
[2.573]
68.12
(59)
[3.300]
15.50
(59)
[-3.352]
34.56
(58)
[2.513]
12.57
(59)
[-2.425]
21.60
(59)
[-1.905]
34.65
(58)
[-2.167]
35.98
(59)
[-2.301]
30.24
(59)
[-2.454]
44.75
(56)
[-1.600]
14.79
(57)
[1.877]