The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'NE' (noise error) 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.

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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
CS
44.73
±24.77
OS
16.75
±19.28
US
11.54
±11.56
ME
29.34
±26.71
criterion 'NE' (noise error) in ascending orderNE
29.43
±26.51
O
32.96
±25.61
C
43.04
±33.05
CA
58.09
±22.53
CO
66.29
±21.54
CC
74.32
±21.97
I
33.54
±21.42
II
5.52
±4.58
EA
66.04
±21.76
MS
54.16
±28.24
RM
6.87
±4.16
CI
67.82
±21.33
GCE
19.77
±13.18
LCE
14.90
±12.06
BCE
39.87
±17.55
GBCE
35.00
±16.87
BGM
70.12
±15.53
SC
63.29
±17.43
SSC
63.58
±17.22
VD
20.73
±11.39
L
70.15
±14.84
AVI
9.04
±4.74
NVI
25.38
±13.97
NMI
67.88
±16.85
M
14.63
±8.21
ARI
58.98
±20.37
JC
55.04
±18.64
DC
67.57
±16.20
FMI
68.94
±15.43
WI
70.37
±17.57
WII
70.83
±17.21
NBDE
8.26
±3.61
 1.  huangyuan's unet psp21ewt  [normal] CL 1 0 0 0  97.67 
 (2.31) 
 [1.551] 
98.09
(2)
[2.154]
1.70
(12)
[-0.780]
0.00
(1)
[-0.998]
0.37
(1)
[-1.085]
0.09
(1)
[-1.107]
1.57
(2)
[-1.226]
1.82
(2)
[-1.248]
96.52
(2)
[1.706]
98.18
(2)
[1.480]
98.01
(3)
[1.079]
1.82
(2)
[-1.481]
0.39
(4)
[-1.119]
98.08
(2)
[1.472]
97.27
(2)
[1.527]
0.29
(3)
[-1.581]
98.09
(2)
[1.419]
3.20
(2)
[-1.257]
2.70
(2)
[-1.012]
3.95
(2)
[-2.048]
3.44
(2)
[-1.870]
98.18
(2)
[1.807]
96.71
(2)
[1.918]
96.55
(2)
[1.915]
1.75
(2)
[-1.666]
96.57
(2)
[1.780]
1.48
(2)
[-1.593]
4.90
(2)
[-1.466]
94.58
(2)
[1.585]
1.08
(2)
[-1.650]
96.60
(2)
[1.847]
94.77
(2)
[2.131]
97.29
(2)
[1.834]
97.29
(2)
[1.837]
97.15
(2)
[1.524]
97.44
(2)
[1.546]
0.77
(2)
[-2.074]
 2.  huangyuan's EWT-FCNT   [normal] CL 1 0 0 0  98.43 
 (1.14) 
 [1.598] 
98.45
(1)
[2.169]
0.00
(1)
[-0.869]
0.00
(1)
[-0.998]
0.37
(2)
[-1.085]
0.46
(2)
[-1.093]
0.93
(1)
[-1.251]
1.05
(1)
[-1.271]
97.67
(1)
[1.756]
98.78
(1)
[1.508]
98.81
(1)
[1.115]
1.22
(1)
[-1.508]
0.25
(3)
[-1.151]
98.76
(1)
[1.504]
98.17
(1)
[1.559]
0.24
(2)
[-1.593]
98.78
(1)
[1.451]
2.23
(1)
[-1.331]
1.68
(1)
[-1.095]
2.88
(1)
[-2.109]
2.33
(1)
[-1.936]
98.78
(1)
[1.846]
97.69
(1)
[1.974]
97.67
(1)
[1.980]
1.21
(1)
[-1.714]
97.86
(1)
[1.868]
1.02
(1)
[-1.691]
3.33
(1)
[-1.578]
96.32
(1)
[1.688]
0.74
(1)
[-1.691]
97.61
(1)
[1.897]
96.31
(1)
[2.213]
98.09
(1)
[1.883]
98.09
(1)
[1.889]
98.14
(1)
[1.581]
98.04
(1)
[1.581]
0.60
(1)
[-2.120]
 3.  v-andrearczyk's FCNT sup.  [normal] CL 1 0 1 0  95.98 
 (3.53) 
 [1.442] 
96.01
(3)
[2.070]
1.56
(11)
[-0.788]
1.20
(6)
[-0.894]
0.78
(3)
[-1.070]
0.89
(3)
[-1.077]
2.71
(3)
[-1.181]
2.29
(3)
[-1.233]
93.95
(3)
[1.592]
96.73
(3)
[1.413]
97.02
(4)
[1.033]
3.27
(3)
[-1.413]
0.68
(6)
[-1.057]
96.68
(3)
[1.408]
95.10
(3)
[1.450]
0.86
(4)
[-1.444]
96.77
(3)
[1.357]
5.55
(4)
[-1.079]
3.75
(4)
[-0.924]
7.69
(3)
[-1.834]
5.89
(3)
[-1.725]
96.81
(3)
[1.719]
94.16
(3)
[1.772]
94.03
(3)
[1.769]
3.06
(3)
[-1.551]
94.69
(3)
[1.654]
2.27
(3)
[-1.427]
7.56
(3)
[-1.276]
91.69
(3)
[1.413]
1.96
(3)
[-1.543]
93.84
(3)
[1.712]
90.74
(3)
[1.915]
95.10
(3)
[1.699]
95.11
(3)
[1.696]
94.77
(4)
[1.389]
95.46
(3)
[1.431]
1.32
(3)
[-1.921]
 4.  v-andrearczyk's FCNT unsup.  [large] 0 0 0 0  89.21 
 (7.50) 
 [1.051] 
79.34
(5)
[1.398]
13.67
(34)
[-0.159]
6.25
(21)
[-0.457]
3.80
(5)
[-0.956]
3.80
(4)
[-0.967]
6.48
(6)
[-1.034]
22.88
(21)
[-0.610]
84.17
(5)
[1.158]
87.97
(6)
[1.007]
94.15
(7)
[0.903]
12.03
(6)
[-1.004]
1.42
(9)
[-0.895]
88.97
(5)
[1.054]
85.23
(5)
[1.100]
3.12
(8)
[-0.902]
89.91
(5)
[1.035]
6.46
(5)
[-1.010]
4.75
(6)
[-0.841]
17.73
(6)
[-1.262]
16.02
(7)
[-1.125]
87.97
(7)
[1.150]
84.11
(6)
[1.195]
84.85
(6)
[1.235]
7.79
(6)
[-1.136]
88.53
(5)
[1.239]
3.93
(6)
[-1.077]
10.70
(6)
[-1.051]
86.81
(5)
[1.124]
4.88
(6)
[-1.188]
84.85
(6)
[1.270]
80.02
(5)
[1.340]
87.75
(6)
[1.246]
88.28
(5)
[1.253]
90.69
(7)
[1.156]
87.01
(8)
[0.940]
3.32
(4)
[-1.369]
 5.  mevenkamp's PCA-MS   [large] 0 0 0 0  87.45 
 (10.94) 
 [0.927] 
72.27
(10)
[1.112]
18.33
(45)
[0.082]
9.41
(30)
[-0.184]
4.19
(7)
[-0.942]
3.92
(5)
[-0.963]
7.25
(8)
[-1.004]
6.44
(5)
[-1.108]
81.13
(8)
[1.022]
85.96
(10)
[0.913]
91.24
(12)
[0.770]
14.04
(10)
[-0.910]
1.59
(12)
[-0.857]
87.08
(9)
[0.967]
81.84
(8)
[0.980]
4.45
(18)
[-0.582]
87.81
(9)
[0.937]
8.33
(11)
[-0.868]
5.61
(9)
[-0.770]
21.00
(9)
[-1.076]
18.28
(12)
[-0.991]
85.96
(10)
[1.020]
81.30
(10)
[1.034]
82.16
(8)
[1.079]
9.06
(8)
[-1.025]
85.54
(9)
[1.037]
4.31
(9)
[-0.998]
13.22
(10)
[-0.871]
84.78
(8)
[1.003]
5.88
(8)
[-1.065]
81.62
(8)
[1.112]
75.30
(10)
[1.087]
85.25
(9)
[1.092]
85.71
(8)
[1.087]
88.20
(10)
[1.014]
84.18
(14)
[0.776]
3.98
(8)
[-1.186]
 6.  emkay's A3M 1.0  [large] 0 0 0 0  88.21 
 (9.58) 
 [0.992] 
77.73
(6)
[1.333]
15.92
(42)
[-0.043]
6.31
(22)
[-0.452]
3.93
(6)
[-0.951]
3.92
(6)
[-0.963]
7.68
(10)
[-0.987]
24.24
(22)
[-0.569]
82.80
(7)
[1.097]
86.89
(9)
[0.956]
93.65
(8)
[0.880]
13.11
(9)
[-0.953]
1.50
(11)
[-0.878]
88.03
(7)
[1.011]
83.98
(6)
[1.056]
3.27
(11)
[-0.866]
89.03
(6)
[0.994]
7.40
(8)
[-0.939]
5.62
(10)
[-0.769]
19.31
(7)
[-1.172]
17.53
(11)
[-1.035]
86.89
(9)
[1.080]
82.57
(7)
[1.107]
83.49
(7)
[1.156]
8.57
(7)
[-1.068]
87.67
(6)
[1.181]
4.39
(11)
[-0.980]
11.86
(7)
[-0.968]
85.28
(7)
[1.033]
5.30
(7)
[-1.136]
83.46
(7)
[1.202]
78.26
(7)
[1.245]
86.61
(7)
[1.175]
87.16
(7)
[1.180]
89.88
(8)
[1.110]
85.64
(11)
[0.860]
3.51
(6)
[-1.315]
 7.  cpanag@csd.uoc.gr's VRA-PMCFA   [large] 0 0 0 0  89.36 
 (7.92) 
 [1.051] 
75.14
(7)
[1.228]
12.13
(31)
[-0.240]
9.85
(36)
[-0.146]
4.38
(9)
[-0.935]
4.37
(7)
[-0.945]
4.51
(4)
[-1.111]
8.89
(10)
[-1.033]
83.45
(6)
[1.126]
88.12
(5)
[1.013]
90.73
(14)
[0.747]
11.88
(5)
[-1.011]
1.48
(10)
[-0.882]
88.07
(6)
[1.013]
83.92
(7)
[1.054]
3.75
(14)
[-0.750]
88.72
(7)
[0.980]
6.55
(6)
[-1.003]
3.90
(5)
[-0.911]
17.51
(5)
[-1.275]
14.86
(5)
[-1.193]
88.12
(5)
[1.159]
84.63
(5)
[1.225]
84.95
(5)
[1.241]
7.59
(5)
[-1.153]
87.58
(7)
[1.175]
3.25
(4)
[-1.221]
9.89
(4)
[-1.109]
88.52
(4)
[1.225]
4.76
(5)
[-1.203]
84.94
(5)
[1.275]
79.62
(6)
[1.319]
87.84
(5)
[1.251]
88.25
(6)
[1.251]
88.92
(9)
[1.056]
88.43
(6)
[1.023]
3.40
(5)
[-1.347]
 8.  felipecalderero's GSRM MARKOV unsup. KL area-weighted  [normal] 0 0 0 0  76.16 
 (26.67) 
 [0.237] 
54.70
(19)
[0.403]
15.14
(40)
[-0.083]
23.71
(48)
[1.053]
5.49
(10)
[-0.893]
4.55
(8)
[-0.939]
24.79
(28)
[-0.319]
31.43
(28)
[-0.351]
63.98
(28)
[0.261]
71.55
(27)
[0.244]
75.39
(34)
[0.049]
28.45
(27)
[-0.237]
4.53
(33)
[-0.215]
69.79
(30)
[0.172]
61.55
(28)
[0.262]
8.77
(41)
[0.456]
71.46
(32)
[0.171]
6.75
(7)
[-0.988]
4.81
(7)
[-0.836]
35.49
(25)
[-0.250]
33.56
(29)
[-0.085]
71.55
(29)
[0.092]
67.70
(24)
[0.253]
67.48
(25)
[0.227]
16.16
(23)
[-0.401]
73.83
(28)
[0.248]
6.79
(22)
[-0.475]
19.22
(26)
[-0.441]
74.98
(25)
[0.421]
17.61
(39)
[0.363]
61.29
(27)
[0.113]
57.57
(26)
[0.136]
69.20
(27)
[0.101]
72.50
(26)
[0.231]
73.38
(30)
[0.171]
80.01
(23)
[0.534]
9.00
(31)
[0.204]
 9.  test's EDISON 1.1  [normal] 0 0 0 0  53.36 
 (39.69) 
 [-0.938] 
12.68
(51)
[-1.294]
86.91
(57)
[3.640]
0.00
(1)
[-0.998]
2.48
(4)
[-1.006]
4.68
(9)
[-0.934]
73.17
(53)
[1.570]
100.00
(53)
[1.724]
31.19
(52)
[-1.194]
31.55
(54)
[-1.612]
98.09
(2)
[1.082]
68.45
(54)
[1.630]
0.24
(2)
[-1.152]
41.29
(51)
[-1.137]
31.13
(45)
[-0.816]
3.21
(10)
[-0.879]
50.29
(46)
[-0.822]
3.55
(3)
[-1.231]
3.44
(3)
[-0.950]
77.11
(57)
[2.122]
77.00
(57)
[2.489]
31.55
(57)
[-2.484]
23.11
(57)
[-2.306]
31.19
(56)
[-1.881]
35.37
(50)
[1.285]
44.44
(55)
[-1.732]
20.23
(56)
[2.360]
26.13
(36)
[0.053]
62.00
(39)
[-0.349]
16.84
(38)
[0.269]
28.00
(53)
[-1.521]
21.64
(56)
[-1.792]
32.51
(57)
[-2.163]
42.66
(54)
[-1.704]
95.06
(3)
[1.405]
21.85
(57)
[-2.846]
10.49
(41)
[0.618]
 10.  jolen217's Deep Brain Model   [large] 0 0 0 0  67.18 
 (32.50) 
 [-0.216] 
38.00
(33)
[-0.272]
41.53
(50)
[1.286]
52.52
(57)
[3.544]
4.21
(8)
[-0.941]
5.46
(10)
[-0.904]
45.27
(42)
[0.481]
99.63
(52)
[1.712]
51.84
(37)
[-0.278]
64.66
(35)
[-0.076]
72.83
(38)
[-0.068]
35.34
(35)
[0.084]
9.89
(46)
[0.955]
58.77
(39)
[-0.334]
49.29
(37)
[-0.172]
2.88
(6)
[-0.958]
61.50
(39)
[-0.296]
10.61
(15)
[-0.695]
5.14
(8)
[-0.809]
45.13
(35)
[0.299]
39.65
(35)
[0.276]
64.66
(36)
[-0.352]
60.14
(34)
[-0.180]
58.32
(36)
[-0.305]
19.20
(30)
[-0.134]
62.95
(38)
[-0.485]
8.48
(30)
[-0.118]
10.29
(5)
[-1.080]
65.13
(37)
[-0.163]
23.02
(48)
[1.020]
51.62
(38)
[-0.361]
49.93
(35)
[-0.274]
64.37
(36)
[-0.197]
67.76
(32)
[-0.077]
55.31
(44)
[-0.857]
88.07
(7)
[1.002]
8.26
(27)
[0.001]
 11.  cbampis's GRPNMF   [large] 0 0 0 0  84.98 
 (15.78) 
 [0.785] 
69.50
(11)
[1.000]
16.05
(43)
[-0.036]
9.90
(37)
[-0.141]
5.74
(12)
[-0.884]
5.89
(11)
[-0.888]
10.33
(14)
[-0.884]
18.35
(18)
[-0.747]
77.92
(14)
[0.880]
84.00
(15)
[0.822]
88.41
(19)
[0.642]
16.00
(15)
[-0.818]
2.26
(16)
[-0.711]
84.39
(13)
[0.843]
78.57
(12)
[0.865]
4.34
(16)
[-0.609]
85.24
(13)
[0.817]
10.61
(14)
[-0.695]
7.69
(23)
[-0.598]
24.22
(15)
[-0.892]
21.30
(15)
[-0.812]
84.00
(15)
[0.894]
78.67
(15)
[0.883]
79.21
(14)
[0.908]
10.80
(12)
[-0.872]
83.08
(14)
[0.872]
5.39
(15)
[-0.769]
15.83
(15)
[-0.684]
81.02
(13)
[0.780]
7.42
(13)
[-0.878]
77.88
(13)
[0.928]
71.59
(13)
[0.888]
82.22
(14)
[0.905]
82.96
(13)
[0.908]
83.80
(17)
[0.764]
83.76
(16)
[0.751]
4.73
(10)
[-0.978]
 12.  yuanj's FSEG 3.0  [large] 0 0 0 0  84.47 
 (16.67) 
 [0.740] 
69.24
(12)
[0.990]
12.28
(32)
[-0.231]
17.03
(46)
[0.475]
7.71
(15)
[-0.810]
6.89
(12)
[-0.851]
11.66
(15)
[-0.832]
11.71
(13)
[-0.948]
76.32
(15)
[0.809]
84.05
(14)
[0.824]
84.15
(25)
[0.448]
15.95
(14)
[-0.821]
3.29
(23)
[-0.486]
82.53
(15)
[0.758]
77.11
(14)
[0.813]
5.00
(26)
[-0.450]
83.26
(15)
[0.724]
10.75
(16)
[-0.685]
7.52
(22)
[-0.612]
24.10
(14)
[-0.899]
20.87
(14)
[-0.838]
84.05
(14)
[0.897]
79.66
(13)
[0.939]
78.46
(15)
[0.864]
10.68
(11)
[-0.883]
80.37
(16)
[0.689]
5.17
(14)
[-0.816]
16.53
(17)
[-0.634]
80.60
(15)
[0.755]
7.88
(15)
[-0.822]
77.38
(14)
[0.903]
71.30
(15)
[0.872]
82.36
(13)
[0.913]
82.95
(14)
[0.908]
80.29
(20)
[0.565]
86.86
(9)
[0.931]
4.99
(13)
[-0.906]
 13.  xaos's MW3AR   [normal] 0 0 0 0  77.71 
 (19.81) 
 [0.441] 
53.04
(22)
[0.335]
59.53
(55)
[2.220]
3.20
(15)
[-0.721]
5.63
(11)
[-0.888]
6.96
(13)
[-0.848]
19.32
(23)
[-0.533]
86.19
(46)
[1.306]
71.89
(17)
[0.612]
74.66
(24)
[0.388]
95.04
(6)
[0.943]
25.34
(24)
[-0.382]
0.74
(7)
[-1.042]
80.43
(17)
[0.661]
71.78
(18)
[0.624]
3.09
(7)
[-0.909]
82.43
(16)
[0.685]
8.17
(10)
[-0.880]
5.78
(11)
[-0.756]
34.50
(23)
[-0.306]
32.11
(27)
[-0.171]
74.66
(24)
[0.292]
66.84
(27)
[0.204]
72.27
(20)
[0.505]
14.78
(20)
[-0.523]
80.63
(15)
[0.707]
7.16
(24)
[-0.396]
12.59
(8)
[-0.915]
79.57
(16)
[0.694]
8.97
(17)
[-0.690]
68.82
(19)
[0.483]
61.24
(21)
[0.332]
73.42
(22)
[0.361]
75.65
(21)
[0.435]
91.53
(6)
[1.204]
64.93
(39)
[-0.343]
7.12
(22)
[-0.315]
 14.  yuanj's FSEG woMg  [large] 0 0 0 0  80.37 
 (19.67) 
 [0.536] 
56.96
(17)
[0.494]
32.75
(47)
[0.830]
6.74
(25)
[-0.415]
7.45
(14)
[-0.820]
7.05
(14)
[-0.844]
15.50
(20)
[-0.682]
38.33
(31)
[-0.143]
72.29
(16)
[0.630]
77.63
(20)
[0.527]
90.76
(13)
[0.748]
22.37
(20)
[-0.521]
1.70
(13)
[-0.833]
80.75
(16)
[0.676]
72.92
(16)
[0.664]
4.90
(24)
[-0.473]
82.35
(17)
[0.681]
11.72
(19)
[-0.611]
7.91
(25)
[-0.579]
31.90
(19)
[-0.455]
28.09
(21)
[-0.410]
77.63
(20)
[0.484]
70.77
(21)
[0.429]
73.29
(18)
[0.564]
13.96
(18)
[-0.595]
80.10
(17)
[0.671]
6.64
(21)
[-0.506]
17.51
(19)
[-0.564]
78.28
(18)
[0.617]
8.61
(16)
[-0.734]
71.79
(17)
[0.629]
64.05
(18)
[0.483]
76.75
(18)
[0.567]
77.95
(17)
[0.584]
86.18
(12)
[0.900]
72.30
(31)
[0.086]
6.37
(20)
[-0.523]
 15.  test's TBES 1.0  [normal] 0 0 0 0  72.22 
 (26.81) 
 [0.127] 
37.72
(34)
[-0.283]
59.77
(56)
[2.232]
1.25
(8)
[-0.889]
7.24
(13)
[-0.828]
8.22
(15)
[-0.800]
27.55
(31)
[-0.211]
95.08
(50)
[1.575]
63.30
(29)
[0.231]
65.66
(33)
[-0.029]
96.20
(5)
[0.996]
34.34
(33)
[0.037]
0.60
(5)
[-1.073]
74.19
(24)
[0.375]
63.73
(26)
[0.339]
5.27
(27)
[-0.384]
77.29
(22)
[0.444]
7.57
(9)
[-0.926]
6.02
(15)
[-0.736]
44.81
(34)
[0.281]
43.26
(38)
[0.489]
65.66
(34)
[-0.287]
56.32
(37)
[-0.400]
63.34
(29)
[-0.014]
19.40
(31)
[-0.117]
75.45
(24)
[0.357]
8.76
(33)
[-0.058]
18.00
(21)
[-0.529]
75.24
(24)
[0.437]
10.93
(21)
[-0.451]
60.46
(29)
[0.073]
51.10
(32)
[-0.211]
66.22
(31)
[-0.083]
69.21
(31)
[0.017]
91.55
(5)
[1.205]
53.39
(50)
[-1.013]
8.10
(26)
[-0.046]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.73
±24.77
OS
16.75
±19.28
US
11.54
±11.56
ME
29.34
±26.71
criterion 'NE' (noise error) in ascending orderNE
29.43
±26.51
O
32.96
±25.61
C
43.04
±33.05
CA
58.09
±22.53
CO
66.29
±21.54
CC
74.32
±21.97
I
33.54
±21.42
II
5.52
±4.58
EA
66.04
±21.76
MS
54.16
±28.24
RM
6.87
±4.16
CI
67.82
±21.33
GCE
19.77
±13.18
LCE
14.90
±12.06
BCE
39.87
±17.55
GBCE
35.00
±16.87
BGM
70.12
±15.53
SC
63.29
±17.43
SSC
63.58
±17.22
VD
20.73
±11.39
L
70.15
±14.84
AVI
9.04
±4.74
NVI
25.38
±13.97
NMI
67.88
±16.85
M
14.63
±8.21
ARI
58.98
±20.37
JC
55.04
±18.64
DC
67.57
±16.20
FMI
68.94
±15.43
WI
70.37
±17.57
WII
70.83
±17.21
NBDE
8.26
±3.61
 16.  xiaofang's sas_gmm(color) c=7  [normal] 0 0 1 0  86.71 
 (12.81) 
 [0.878] 
66.88
(15)
[0.894]
13.63
(33)
[-0.162]
11.93
(41)
[0.034]
8.46
(16)
[-0.782]
8.44
(16)
[-0.792]
4.92
(5)
[-1.095]
6.97
(7)
[-1.091]
79.87
(11)
[0.967]
85.76
(11)
[0.904]
88.16
(21)
[0.630]
14.24
(11)
[-0.901]
2.36
(18)
[-0.689]
85.72
(11)
[0.904]
78.65
(11)
[0.867]
4.45
(17)
[-0.582]
86.33
(11)
[0.867]
11.00
(17)
[-0.666]
5.90
(12)
[-0.746]
21.14
(10)
[-1.067]
16.05
(8)
[-1.123]
85.76
(11)
[1.007]
81.49
(9)
[1.045]
81.61
(10)
[1.047]
9.50
(10)
[-0.986]
85.88
(8)
[1.060]
3.88
(5)
[-1.087]
13.10
(9)
[-0.879]
85.65
(6)
[1.055]
6.52
(10)
[-0.988]
80.86
(10)
[1.074]
75.31
(9)
[1.087]
85.05
(10)
[1.079]
85.32
(10)
[1.061]
85.89
(13)
[0.883]
85.29
(12)
[0.840]
5.58
(17)
[-0.744]
 17.  daicav's SegTexCol  [large] 0 0 0 0  82.50 
 (18.17) 
 [0.628] 
61.19
(16)
[0.665]
1.92
(14)
[-0.769]
27.02
(51)
[1.339]
9.33
(17)
[-0.749]
9.05
(17)
[-0.769]
15.17
(19)
[-0.695]
12.12
(14)
[-0.936]
71.69
(18)
[0.604]
81.16
(16)
[0.690]
76.34
(33)
[0.092]
18.84
(16)
[-0.686]
3.77
(27)
[-0.383]
77.20
(19)
[0.513]
71.87
(17)
[0.627]
6.40
(29)
[-0.114]
77.95
(19)
[0.475]
8.36
(12)
[-0.866]
6.01
(14)
[-0.736]
25.98
(16)
[-0.792]
23.63
(17)
[-0.674]
81.16
(16)
[0.711]
78.15
(16)
[0.853]
75.50
(16)
[0.692]
11.75
(16)
[-0.788]
76.27
(22)
[0.412]
4.88
(13)
[-0.876]
16.00
(16)
[-0.671]
80.93
(14)
[0.775]
9.19
(18)
[-0.663]
75.75
(16)
[0.823]
70.11
(16)
[0.808]
80.97
(16)
[0.827]
81.91
(16)
[0.841]
75.75
(27)
[0.306]
90.27
(4)
[1.130]
4.93
(11)
[-0.924]
 18.  frzn's texNCUT   [large] 0 0 1 0  87.01 
 (12.06) 
 [0.904] 
72.54
(9)
[1.123]
10.92
(27)
[-0.302]
9.61
(33)
[-0.166]
10.25
(19)
[-0.715]
9.83
(18)
[-0.739]
7.33
(9)
[-1.001]
8.17
(8)
[-1.055]
80.58
(9)
[0.998]
86.89
(8)
[0.956]
88.28
(20)
[0.636]
13.11
(8)
[-0.953]
2.36
(17)
[-0.689]
86.39
(10)
[0.935]
80.33
(10)
[0.927]
3.69
(12)
[-0.764]
86.97
(10)
[0.897]
11.92
(21)
[-0.595]
6.85
(18)
[-0.667]
20.64
(8)
[-1.096]
15.56
(6)
[-1.152]
86.89
(8)
[1.080]
82.46
(8)
[1.100]
81.90
(9)
[1.064]
9.18
(9)
[-1.014]
84.35
(13)
[0.957]
4.30
(8)
[-0.999]
14.49
(12)
[-0.780]
84.14
(10)
[0.965]
6.03
(9)
[-1.047]
81.48
(9)
[1.105]
75.77
(8)
[1.112]
85.35
(8)
[1.097]
85.50
(9)
[1.073]
84.76
(15)
[0.819]
86.57
(10)
[0.915]
4.49
(9)
[-1.044]
 19.  connetwork12's conn col-noblur  [normal] CL 1 0 0 0  90.41 
 (7.42) 
 [1.101] 
84.57
(4)
[1.609]
0.00
(1)
[-0.869]
1.70
(9)
[-0.851]
9.50
(18)
[-0.743]
10.22
(19)
[-0.725]
7.00
(7)
[-1.014]
5.34
(4)
[-1.141]
86.21
(4)
[1.248]
92.02
(4)
[1.194]
92.68
(10)
[0.836]
7.98
(4)
[-1.193]
1.70
(14)
[-0.833]
91.72
(4)
[1.180]
88.03
(4)
[1.200]
2.08
(5)
[-1.151]
92.02
(4)
[1.134]
11.76
(20)
[-0.608]
8.61
(27)
[-0.521]
16.45
(4)
[-1.335]
13.30
(4)
[-1.286]
92.02
(4)
[1.410]
86.73
(4)
[1.345]
86.36
(4)
[1.323]
7.50
(4)
[-1.162]
88.77
(4)
[1.255]
4.31
(10)
[-0.997]
14.50
(13)
[-0.779]
84.01
(11)
[0.957]
4.69
(4)
[-1.211]
85.54
(4)
[1.304]
80.13
(4)
[1.346]
88.56
(4)
[1.296]
88.61
(4)
[1.274]
87.65
(11)
[0.983]
89.66
(5)
[1.094]
3.86
(7)
[-1.217]
 20.  sylvia's TEX-ROI-SEG 1.0  [normal] 0 0 0 0  80.15 
 (21.33) 
 [0.484] 
56.37
(18)
[0.470]
11.93
(29)
[-0.250]
19.79
(47)
[0.714]
11.55
(21)
[-0.666]
10.29
(20)
[-0.722]
18.21
(22)
[-0.576]
9.63
(11)
[-1.011]
69.45
(20)
[0.504]
78.26
(18)
[0.556]
81.24
(28)
[0.315]
21.74
(18)
[-0.551]
4.16
(30)
[-0.297]
76.31
(20)
[0.472]
68.88
(20)
[0.522]
7.37
(36)
[0.120]
77.86
(20)
[0.471]
11.99
(22)
[-0.591]
6.71
(17)
[-0.679]
30.48
(17)
[-0.535]
25.20
(18)
[-0.581]
78.26
(19)
[0.524]
73.70
(17)
[0.597]
72.48
(19)
[0.517]
13.66
(17)
[-0.621]
76.83
(19)
[0.451]
5.74
(16)
[-0.695]
18.34
(23)
[-0.504]
78.12
(20)
[0.608]
11.74
(25)
[-0.353]
68.74
(20)
[0.479]
63.73
(19)
[0.466]
75.91
(19)
[0.515]
77.00
(19)
[0.522]
73.11
(31)
[0.156]
83.24
(17)
[0.721]
5.45
(16)
[-0.777]
 21.  yuanj's RS   [large] 0 0 0 1  71.87 
 (32.75) 
 [-0.068] 
46.02
(26)
[0.052]
13.96
(35)
[-0.145]
30.01
(53)
[1.597]
12.01
(22)
[-0.649]
11.77
(21)
[-0.666]
35.11
(34)
[0.084]
29.91
(27)
[-0.397]
58.75
(32)
[0.029]
68.89
(31)
[0.121]
69.30
(40)
[-0.228]
31.11
(31)
[-0.113]
8.63
(45)
[0.679]
65.87
(34)
[-0.008]
55.52
(34)
[0.048]
10.96
(48)
[0.982]
67.35
(35)
[-0.022]
11.23
(18)
[-0.648]
7.70
(24)
[-0.596]
40.64
(30)
[0.044]
37.11
(32)
[0.125]
68.89
(32)
[-0.080]
63.92
(29)
[0.036]
62.40
(31)
[-0.068]
18.52
(27)
[-0.194]
66.67
(37)
[-0.235]
7.96
(26)
[-0.227]
25.08
(34)
[-0.022]
61.66
(40)
[-0.369]
23.67
(49)
[1.101]
56.50
(32)
[-0.122]
55.50
(27)
[0.025]
68.10
(29)
[0.033]
70.97
(28)
[0.131]
65.41
(37)
[-0.282]
84.01
(15)
[0.766]
13.09
(54)
[1.336]
 22.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  73.30 
 (27.78) 
 [0.147] 
43.22
(28)
[-0.061]
49.27
(51)
[1.687]
16.55
(45)
[0.433]
10.30
(20)
[-0.713]
12.56
(22)
[-0.637]
21.99
(25)
[-0.429]
87.38
(47)
[1.342]
64.51
(27)
[0.285]
71.00
(28)
[0.219]
90.14
(15)
[0.720]
29.00
(28)
[-0.212]
3.79
(28)
[-0.378]
73.90
(26)
[0.361]
64.47
(23)
[0.365]
4.55
(21)
[-0.558]
76.51
(25)
[0.407]
15.32
(28)
[-0.338]
7.98
(26)
[-0.574]
40.43
(29)
[0.032]
33.09
(28)
[-0.113]
71.00
(30)
[0.056]
61.68
(33)
[-0.092]
67.03
(27)
[0.201]
16.87
(24)
[-0.339]
76.79
(20)
[0.448]
8.38
(28)
[-0.139]
16.76
(18)
[-0.617]
72.32
(26)
[0.263]
13.51
(28)
[-0.136]
61.60
(26)
[0.128]
55.09
(28)
[0.003]
69.68
(26)
[0.130]
71.15
(27)
[0.143]
77.54
(23)
[0.408]
67.86
(34)
[-0.172]
9.08
(32)
[0.227]
 23.  xaos's AR3D+EM 1.0  [normal] 0 0 0 0  69.54 
 (31.31) 
 [-0.040] 
37.42
(35)
[-0.295]
59.53
(54)
[2.219]
8.86
(27)
[-0.232]
12.54
(23)
[-0.629]
13.14
(23)
[-0.615]
34.32
(33)
[0.053]
100.00
(53)
[1.724]
59.46
(30)
[0.061]
64.81
(34)
[-0.069]
91.79
(11)
[0.795]
35.19
(34)
[0.077]
3.39
(25)
[-0.464]
69.60
(31)
[0.164]
58.89
(30)
[0.168]
4.88
(23)
[-0.478]
73.15
(29)
[0.250]
12.13
(23)
[-0.580]
6.70
(16)
[-0.680]
47.22
(37)
[0.419]
41.79
(37)
[0.402]
64.81
(35)
[-0.342]
54.85
(38)
[-0.484]
61.34
(34)
[-0.130]
19.76
(32)
[-0.085]
72.15
(30)
[0.135]
9.84
(36)
[0.168]
18.31
(22)
[-0.506]
69.70
(29)
[0.108]
15.43
(34)
[0.097]
55.99
(34)
[-0.147]
49.12
(36)
[-0.317]
64.44
(35)
[-0.193]
67.22
(33)
[-0.112]
78.72
(21)
[0.475]
61.85
(40)
[-0.522]
8.65
(30)
[0.108]
 24.  felipecalderero's GSRM MARKOV sup. KL area-weighted  [normal] 0 0 1 0  85.13 
 (15.97) 
 [0.794] 
67.55
(14)
[0.922]
11.36
(28)
[-0.279]
9.11
(28)
[-0.210]
12.58
(24)
[-0.628]
13.54
(24)
[-0.600]
7.81
(12)
[-0.982]
8.42
(9)
[-1.048]
78.07
(13)
[0.887]
84.30
(13)
[0.836]
87.19
(23)
[0.586]
15.70
(13)
[-0.832]
2.91
(20)
[-0.569]
84.32
(14)
[0.840]
76.44
(15)
[0.789]
4.26
(15)
[-0.626]
85.01
(14)
[0.806]
13.33
(26)
[-0.489]
7.21
(20)
[-0.638]
23.13
(13)
[-0.954]
17.01
(10)
[-1.066]
84.30
(13)
[0.913]
79.53
(14)
[0.932]
79.83
(13)
[0.944]
10.85
(13)
[-0.868]
84.77
(11)
[0.985]
4.41
(12)
[-0.977]
14.60
(14)
[-0.772]
83.91
(12)
[0.951]
7.61
(14)
[-0.855]
77.27
(15)
[0.898]
71.45
(14)
[0.880]
82.06
(15)
[0.894]
82.33
(15)
[0.868]
82.59
(18)
[0.695]
82.65
(19)
[0.687]
5.06
(15)
[-0.886]
 25.  felipecalderero's GSRM unsup. KL area-weighted  [normal] 0 0 0 0  77.65 
 (24.78) 
 [0.367] 
54.05
(20)
[0.376]
15.88
(41)
[-0.045]
14.45
(44)
[0.252]
13.62
(25)
[-0.589]
14.03
(25)
[-0.581]
23.44
(27)
[-0.372]
26.47
(23)
[-0.501]
66.75
(22)
[0.384]
73.67
(26)
[0.343]
81.41
(27)
[0.323]
26.33
(26)
[-0.337]
3.35
(24)
[-0.473]
73.14
(28)
[0.326]
65.75
(22)
[0.411]
6.76
(34)
[-0.028]
75.09
(27)
[0.341]
8.88
(13)
[-0.827]
5.98
(13)
[-0.740]
33.93
(22)
[-0.339]
31.03
(24)
[-0.235]
73.67
(26)
[0.229]
68.93
(22)
[0.324]
69.15
(23)
[0.324]
15.95
(22)
[-0.420]
74.85
(27)
[0.317]
6.93
(23)
[-0.445]
17.65
(20)
[-0.554]
78.09
(21)
[0.606]
12.36
(26)
[-0.277]
64.94
(25)
[0.293]
60.71
(23)
[0.304]
71.13
(25)
[0.220]
73.53
(24)
[0.297]
76.97
(24)
[0.375]
76.81
(29)
[0.348]
6.29
(19)
[-0.545]
 26.  felipecalderero's GSRM sup. KL area-weighted  [normal] 0 0 1 0  85.76 
 (14.28) 
 [0.835] 
68.72
(13)
[0.969]
9.00
(25)
[-0.402]
6.67
(24)
[-0.421]
15.09
(27)
[-0.534]
15.16
(26)
[-0.538]
7.74
(11)
[-0.985]
6.79
(6)
[-1.097]
78.90
(12)
[0.923]
84.74
(12)
[0.857]
89.30
(16)
[0.682]
15.26
(12)
[-0.853]
2.10
(15)
[-0.747]
85.01
(12)
[0.872]
77.12
(13)
[0.813]
4.54
(20)
[-0.559]
85.98
(12)
[0.851]
13.29
(25)
[-0.492]
6.93
(19)
[-0.660]
22.51
(11)
[-0.990]
16.16
(9)
[-1.117]
84.74
(12)
[0.942]
80.09
(12)
[0.964]
80.13
(12)
[0.961]
10.88
(14)
[-0.865]
84.38
(12)
[0.959]
4.29
(7)
[-1.001]
14.22
(11)
[-0.799]
84.50
(9)
[0.986]
6.84
(12)
[-0.948]
78.95
(12)
[0.980]
73.34
(11)
[0.981]
83.20
(12)
[0.964]
83.40
(12)
[0.937]
84.46
(16)
[0.802]
82.76
(18)
[0.693]
4.96
(12)
[-0.914]
 27.  xaos's GMRF+EM 2.0  [normal] 0 0 0 0  68.15 
 (33.64) 
 [-0.123] 
31.93
(36)
[-0.517]
53.27
(53)
[1.895]
11.24
(39)
[-0.026]
14.97
(26)
[-0.538]
16.91
(27)
[-0.472]
33.61
(32)
[0.025]
100.00
(53)
[1.724]
57.91
(33)
[-0.008]
63.51
(37)
[-0.129]
89.26
(17)
[0.680]
36.49
(37)
[0.138]
3.14
(22)
[-0.520]
68.41
(32)
[0.109]
57.42
(31)
[0.115]
4.86
(22)
[-0.483]
71.80
(30)
[0.186]
16.04
(29)
[-0.283]
7.31
(21)
[-0.629]
48.88
(38)
[0.513]
40.15
(36)
[0.305]
63.51
(38)
[-0.426]
53.52
(40)
[-0.560]
59.43
(35)
[-0.241]
20.63
(34)
[-0.009]
70.55
(31)
[0.027]
10.20
(37)
[0.244]
19.02
(25)
[-0.455]
69.24
(30)
[0.080]
15.27
(33)
[0.077]
53.30
(37)
[-0.279]
46.11
(39)
[-0.479]
61.88
(38)
[-0.351]
64.08
(38)
[-0.315]
75.46
(28)
[0.290]
57.53
(43)
[-0.773]
9.46
(34)
[0.331]
 28.  xiaofang's SR_multifeat all  [normal] 0 0 1 0  77.58 
 (25.33) 
 [0.335] 
45.57
(27)
[0.034]
14.56
(36)
[-0.113]
27.86
(52)
[1.412]
17.99
(28)
[-0.425]
17.58
(28)
[-0.447]
14.76
(18)
[-0.711]
20.63
(19)
[-0.678]
65.36
(25)
[0.323]
76.12
(22)
[0.456]
76.95
(32)
[0.120]
23.88
(22)
[-0.451]
5.18
(36)
[-0.073]
73.17
(27)
[0.328]
64.18
(25)
[0.355]
7.49
(37)
[0.148]
74.36
(28)
[0.307]
14.68
(27)
[-0.387]
9.40
(31)
[-0.456]
32.16
(20)
[-0.440]
26.88
(20)
[-0.481]
76.12
(22)
[0.386]
71.39
(19)
[0.465]
70.07
(21)
[0.377]
15.46
(21)
[-0.463]
76.62
(21)
[0.436]
5.91
(18)
[-0.660]
19.57
(28)
[-0.416]
77.52
(22)
[0.572]
11.17
(23)
[-0.422]
68.58
(21)
[0.471]
62.59
(20)
[0.405]
75.81
(20)
[0.509]
76.54
(20)
[0.493]
72.03
(33)
[0.094]
82.58
(20)
[0.683]
7.63
(23)
[-0.175]
 29.  david0432's Cooperative Mum-Shah   [normal] 0 0 1 0  80.21 
 (21.61) 
 [0.505] 
53.73
(21)
[0.363]
16.29
(44)
[-0.024]
11.76
(40)
[0.019]
18.57
(29)
[-0.403]
18.66
(29)
[-0.407]
12.55
(16)
[-0.797]
16.85
(17)
[-0.793]
71.58
(19)
[0.599]
78.99
(17)
[0.589]
84.91
(24)
[0.482]
21.01
(17)
[-0.584]
3.11
(21)
[-0.526]
79.39
(18)
[0.614]
70.84
(19)
[0.591]
6.45
(31)
[-0.102]
80.61
(18)
[0.600]
16.29
(30)
[-0.264]
8.88
(28)
[-0.499]
30.80
(18)
[-0.517]
23.38
(16)
[-0.688]
78.99
(18)
[0.571]
72.83
(18)
[0.548]
73.35
(17)
[0.567]
14.43
(19)
[-0.553]
79.26
(18)
[0.614]
5.92
(19)
[-0.658]
18.40
(24)
[-0.499]
78.23
(19)
[0.614]
10.09
(19)
[-0.553]
70.52
(18)
[0.567]
64.26
(17)
[0.495]
76.88
(17)
[0.575]
77.31
(18)
[0.542]
77.60
(22)
[0.411]
77.93
(25)
[0.412]
6.15
(18)
[-0.585]
 30.  connetwork12's conn col-blur3  [normal] CL 1 0 0 0  85.80 
 (14.56) 
 [0.830] 
72.93
(8)
[1.138]
1.73
(13)
[-0.779]
2.74
(14)
[-0.761]
18.89
(30)
[-0.391]
18.74
(30)
[-0.403]
9.21
(13)
[-0.928]
9.78
(12)
[-1.007]
80.08
(10)
[0.976]
87.78
(7)
[0.998]
89.19
(18)
[0.677]
12.22
(7)
[-0.995]
2.59
(19)
[-0.640]
87.40
(8)
[0.982]
81.67
(9)
[0.974]
3.15
(9)
[-0.895]
87.92
(8)
[0.942]
16.64
(32)
[-0.238]
12.55
(36)
[-0.195]
22.57
(12)
[-0.986]
18.48
(13)
[-0.979]
88.02
(6)
[1.152]
81.18
(11)
[1.027]
80.76
(11)
[0.998]
10.90
(15)
[-0.863]
84.92
(10)
[0.995]
5.75
(17)
[-0.693]
19.43
(27)
[-0.426]
78.64
(17)
[0.639]
6.78
(11)
[-0.957]
79.07
(11)
[0.987]
72.50
(12)
[0.936]
83.47
(11)
[0.981]
83.50
(11)
[0.944]
82.47
(19)
[0.689]
84.60
(13)
[0.800]
5.03
(14)
[-0.895]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.73
±24.77
OS
16.75
±19.28
US
11.54
±11.56
ME
29.34
±26.71
criterion 'NE' (noise error) in ascending orderNE
29.43
±26.51
O
32.96
±25.61
C
43.04
±33.05
CA
58.09
±22.53
CO
66.29
±21.54
CC
74.32
±21.97
I
33.54
±21.42
II
5.52
±4.58
EA
66.04
±21.76
MS
54.16
±28.24
RM
6.87
±4.16
CI
67.82
±21.33
GCE
19.77
±13.18
LCE
14.90
±12.06
BCE
39.87
±17.55
GBCE
35.00
±16.87
BGM
70.12
±15.53
SC
63.29
±17.43
SSC
63.58
±17.22
VD
20.73
±11.39
L
70.15
±14.84
AVI
9.04
±4.74
NVI
25.38
±13.97
NMI
67.88
±16.85
M
14.63
±8.21
ARI
58.98
±20.37
JC
55.04
±18.64
DC
67.57
±16.20
FMI
68.94
±15.43
WI
70.37
±17.57
WII
70.83
±17.21
NBDE
8.26
±3.61
 31.  test's EGBIS   [normal] 0 0 0 0  66.03 
 (37.75) 
 [-0.320] 
28.78
(40)
[-0.644]
19.69
(46)
[0.153]
39.15
(55)
[2.388]
20.42
(31)
[-0.334]
21.54
(31)
[-0.298]
44.35
(40)
[0.445]
82.87
(45)
[1.205]
51.10
(38)
[-0.310]
64.12
(36)
[-0.101]
72.73
(39)
[-0.072]
35.88
(36)
[0.109]
7.59
(42)
[0.452]
59.88
(37)
[-0.283]
49.03
(38)
[-0.182]
8.38
(40)
[0.362]
63.11
(37)
[-0.221]
16.64
(31)
[-0.238]
8.97
(29)
[-0.492]
46.67
(36)
[0.387]
39.00
(34)
[0.237]
64.12
(37)
[-0.387]
58.75
(35)
[-0.260]
56.28
(39)
[-0.424]
21.29
(35)
[0.048]
62.16
(39)
[-0.538]
8.58
(32)
[-0.098]
21.24
(31)
[-0.296]
66.50
(35)
[-0.082]
19.72
(42)
[0.620]
49.98
(40)
[-0.442]
46.39
(37)
[-0.464]
62.19
(37)
[-0.332]
64.19
(37)
[-0.308]
55.71
(42)
[-0.834]
76.97
(27)
[0.357]
13.05
(53)
[1.326]
 32.  chaththa85's ImprvGMRF  [normal] 0 0 1 0  75.46 
 (28.06) 
 [0.233] 
49.02
(24)
[0.173]
15.06
(39)
[-0.087]
10.82
(38)
[-0.062]
21.44
(32)
[-0.296]
22.76
(32)
[-0.252]
22.06
(26)
[-0.426]
26.87
(24)
[-0.490]
64.74
(26)
[0.295]
73.95
(25)
[0.356]
79.03
(30)
[0.215]
26.05
(25)
[-0.349]
3.99
(29)
[-0.334]
73.98
(25)
[0.365]
60.92
(29)
[0.240]
6.01
(28)
[-0.207]
75.18
(26)
[0.345]
23.07
(40)
[0.250]
15.90
(40)
[0.083]
36.10
(26)
[-0.215]
28.92
(22)
[-0.360]
73.95
(25)
[0.246]
67.21
(25)
[0.225]
67.44
(26)
[0.224]
18.67
(28)
[-0.181]
72.20
(29)
[0.138]
8.14
(27)
[-0.189]
27.33
(37)
[0.139]
70.26
(28)
[0.141]
10.99
(22)
[-0.444]
66.08
(24)
[0.349]
59.42
(25)
[0.235]
73.13
(24)
[0.343]
73.46
(25)
[0.293]
76.08
(26)
[0.325]
71.54
(32)
[0.042]
6.76
(21)
[-0.415]
 33.  rohit.iiith's Graph based Segmentation   [normal] 0 0 0 1  71.66 
 (32.28) 
 [0.005] 
40.32
(31)
[-0.178]
14.75
(37)
[-0.104]
24.05
(49)
[1.082]
26.74
(33)
[-0.097]
24.43
(33)
[-0.189]
25.10
(29)
[-0.307]
45.01
(34)
[0.059]
57.45
(34)
[-0.029]
69.00
(30)
[0.126]
74.51
(36)
[0.009]
31.00
(30)
[-0.118]
7.58
(41)
[0.451]
65.86
(35)
[-0.008]
55.81
(33)
[0.059]
8.90
(42)
[0.487]
68.46
(34)
[0.030]
17.54
(35)
[-0.170]
8.99
(30)
[-0.490]
40.34
(28)
[0.026]
31.79
(26)
[-0.190]
69.00
(31)
[-0.072]
64.12
(28)
[0.048]
61.80
(33)
[-0.103]
18.83
(29)
[-0.167]
69.96
(33)
[-0.013]
7.27
(25)
[-0.373]
21.14
(29)
[-0.304]
71.82
(27)
[0.234]
16.27
(36)
[0.199]
57.53
(30)
[-0.071]
53.34
(30)
[-0.091]
68.06
(30)
[0.030]
69.35
(30)
[0.027]
61.84
(39)
[-0.485]
79.58
(24)
[0.508]
8.43
(28)
[0.046]
 34.  test's HGS  [normal] 0 0 0 0  65.01 
 (39.89) 
 [-0.467] 
29.81
(38)
[-0.602]
10.69
(26)
[-0.314]
33.76
(54)
[1.921]
26.89
(34)
[-0.092]
25.04
(34)
[-0.166]
48.94
(44)
[0.624]
32.39
(29)
[-0.323]
49.60
(39)
[-0.377]
63.37
(38)
[-0.135]
66.09
(42)
[-0.375]
36.63
(38)
[0.144]
13.51
(53)
[1.744]
58.74
(40)
[-0.335]
46.63
(39)
[-0.267]
13.31
(52)
[1.548]
61.17
(41)
[-0.312]
16.75
(33)
[-0.229]
10.46
(32)
[-0.368]
49.80
(40)
[0.565]
43.51
(40)
[0.504]
63.37
(39)
[-0.435]
57.52
(36)
[-0.331]
53.33
(41)
[-0.595]
22.90
(37)
[0.190]
58.60
(43)
[-0.778]
9.46
(35)
[0.089]
30.28
(41)
[0.350]
57.28
(44)
[-0.629]
27.95
(54)
[1.621]
41.52
(43)
[-0.857]
43.98
(41)
[-0.593]
58.92
(41)
[-0.534]
62.21
(40)
[-0.437]
50.58
(47)
[-1.126]
81.27
(22)
[0.607]
11.42
(46)
[0.876]
 35.  test's HGS  [normal] 0 0 0 0  60.24 
 (43.61) 
 [-0.861] 
27.57
(41)
[-0.693]
8.63
(23)
[-0.421]
45.82
(56)
[2.965]
27.22
(36)
[-0.079]
26.54
(35)
[-0.109]
53.84
(47)
[0.815]
35.44
(30)
[-0.230]
43.74
(43)
[-0.637]
58.05
(41)
[-0.382]
56.48
(47)
[-0.812]
41.95
(41)
[0.393]
19.99
(57)
[3.161]
51.11
(44)
[-0.686]
37.41
(43)
[-0.593]
19.29
(57)
[2.984]
53.33
(45)
[-0.679]
17.20
(34)
[-0.195]
13.62
(37)
[-0.106]
53.08
(43)
[0.752]
49.49
(47)
[0.859]
58.05
(46)
[-0.777]
54.07
(39)
[-0.529]
48.87
(43)
[-0.854]
27.12
(42)
[0.561]
53.36
(48)
[-1.131]
14.08
(49)
[1.062]
34.51
(44)
[0.653]
51.59
(47)
[-0.967]
35.99
(57)
[2.600]
36.13
(48)
[-1.122]
40.54
(42)
[-0.778]
54.16
(46)
[-0.827]
58.24
(42)
[-0.694]
44.09
(52)
[-1.495]
82.17
(21)
[0.659]
16.69
(57)
[2.334]
 36.  xiaofang's sas originial  [normal] 0 0 0 0  76.67 
 (26.69) 
 [0.298] 
41.42
(30)
[-0.134]
15.04
(38)
[-0.088]
12.48
(43)
[0.082]
27.64
(37)
[-0.064]
26.92
(36)
[-0.095]
17.80
(21)
[-0.592]
15.13
(15)
[-0.845]
66.53
(23)
[0.374]
75.75
(23)
[0.439]
82.19
(26)
[0.358]
24.25
(23)
[-0.433]
4.17
(31)
[-0.294]
76.10
(22)
[0.462]
63.63
(27)
[0.335]
6.72
(33)
[-0.036]
77.48
(21)
[0.453]
20.47
(39)
[0.053]
11.25
(33)
[-0.302]
35.25
(24)
[-0.263]
26.03
(19)
[-0.532]
75.75
(23)
[0.362]
68.47
(23)
[0.298]
68.43
(24)
[0.282]
17.13
(25)
[-0.317]
75.42
(25)
[0.355]
6.47
(20)
[-0.542]
21.84
(33)
[-0.253]
76.07
(23)
[0.486]
11.22
(24)
[-0.416]
66.22
(23)
[0.355]
59.42
(24)
[0.235]
73.37
(23)
[0.358]
73.72
(23)
[0.310]
74.33
(29)
[0.226]
73.83
(30)
[0.175]
8.02
(25)
[-0.067]
 37.  LiRa's ==   [normal] CL 1 0 0 0  52.37 
 (39.78) 
 [-0.787] 
29.72
(39)
[-0.606]
41.22
(49)
[1.270]
6.48
(23)
[-0.438]
27.12
(35)
[-0.083]
29.19
(37)
[-0.009]
100.00
(57)
[2.618]
100.00
(53)
[1.724]
0.00
(57)
[-2.579]
0.00
(57)
[-3.077]
0.00
(57)
[-3.383]
100.00
(57)
[3.102]
0.00
(1)
[-1.205]
0.00
(57)
[-3.034]
0.00
(55)
[-1.918]
0.00
(1)
[-1.651]
0.00
(57)
[-3.179]
19.97
(37)
[0.014]
13.74
(38)
[-0.096]
49.53
(39)
[0.551]
43.31
(39)
[0.492]
63.33
(40)
[-0.438]
53.12
(41)
[-0.583]
58.28
(37)
[-0.307]
23.19
(38)
[0.215]
68.16
(35)
[-0.134]
11.10
(41)
[0.434]
21.46
(32)
[-0.281]
66.55
(34)
[-0.079]
13.59
(29)
[-0.127]
54.00
(36)
[-0.244]
46.16
(38)
[-0.476]
61.71
(39)
[-0.362]
63.43
(39)
[-0.357]
76.51
(25)
[0.350]
54.02
(47)
[-0.976]
9.72
(36)
[0.405]
 38.  ales.hejl's ed_ah  [normal] 0 0 0 0  55.83 
 (41.58) 
 [-0.793] 
17.54
(48)
[-1.098]
52.99
(52)
[1.880]
0.00
(1)
[-0.998]
30.29
(38)
[0.036]
34.59
(38)
[0.195]
64.37
(50)
[1.227]
100.00
(53)
[1.724]
38.26
(45)
[-0.881]
40.46
(51)
[-1.199]
92.77
(9)
[0.840]
59.54
(51)
[1.214]
1.28
(8)
[-0.926]
48.85
(45)
[-0.790]
37.89
(42)
[-0.576]
3.74
(13)
[-0.752]
55.96
(43)
[-0.556]
13.12
(24)
[-0.505]
11.91
(35)
[-0.248]
69.24
(54)
[1.674]
68.03
(55)
[1.957]
40.46
(55)
[-1.911]
31.85
(54)
[-1.804]
38.40
(53)
[-1.462]
34.18
(48)
[1.180]
51.81
(50)
[-1.236]
17.88
(53)
[1.864]
25.68
(35)
[0.021]
60.66
(41)
[-0.429]
16.10
(35)
[0.178]
35.27
(49)
[-1.164]
28.30
(53)
[-1.434]
41.55
(53)
[-1.606]
48.37
(50)
[-1.333]
85.00
(14)
[0.832]
30.21
(56)
[-2.360]
10.65
(43)
[0.662]
 39.  test's JSEG   [normal] 0 0 0 0  65.97 
 (36.58) 
 [-0.237] 
27.47
(42)
[-0.697]
38.62
(48)
[1.135]
5.04
(18)
[-0.562]
35.00
(39)
[0.212]
35.50
(39)
[0.229]
37.94
(35)
[0.194]
92.77
(48)
[1.505]
55.29
(35)
[-0.125]
61.81
(39)
[-0.208]
87.70
(22)
[0.609]
38.19
(39)
[0.217]
3.66
(26)
[-0.406]
66.74
(33)
[0.032]
55.14
(35)
[0.035]
4.96
(25)
[-0.460]
70.27
(33)
[0.115]
18.45
(36)
[-0.100]
11.64
(34)
[-0.270]
50.79
(41)
[0.622]
43.98
(41)
[0.532]
61.81
(42)
[-0.535]
51.94
(42)
[-0.651]
56.24
(40)
[-0.426]
23.38
(39)
[0.232]
66.85
(36)
[-0.222]
10.68
(39)
[0.346]
21.23
(30)
[-0.297]
67.54
(32)
[-0.020]
15.19
(32)
[0.067]
50.96
(39)
[-0.394]
44.46
(40)
[-0.568]
59.81
(40)
[-0.478]
61.42
(41)
[-0.488]
72.27
(32)
[0.108]
54.02
(48)
[-0.977]
9.82
(37)
[0.432]
 40.  xiaofang's weighted_color_patch   [normal] 0 0 0 0  68.23 
 (35.67) 
 [-0.200] 
30.92
(37)
[-0.557]
4.12
(16)
[-0.655]
26.67
(50)
[1.309]
37.40
(40)
[0.302]
35.72
(40)
[0.237]
41.32
(37)
[0.326]
28.70
(25)
[-0.434]
53.55
(36)
[-0.202]
67.49
(32)
[0.056]
63.39
(43)
[-0.497]
32.51
(32)
[-0.048]
6.60
(37)
[0.236]
62.69
(36)
[-0.154]
51.23
(36)
[-0.104]
9.34
(45)
[0.594]
64.00
(36)
[-0.179]
20.29
(38)
[0.039]
14.82
(39)
[-0.007]
43.88
(33)
[0.228]
38.42
(33)
[0.203]
67.49
(33)
[-0.170]
61.93
(31)
[-0.078]
58.22
(38)
[-0.311]
22.27
(36)
[0.135]
60.97
(41)
[-0.619]
8.50
(31)
[-0.113]
28.31
(39)
[0.209]
65.70
(36)
[-0.129]
16.83
(37)
[0.268]
54.93
(35)
[-0.199]
50.40
(33)
[-0.249]
65.57
(33)
[-0.123]
66.85
(34)
[-0.136]
59.53
(40)
[-0.617]
76.91
(28)
[0.353]
9.89
(38)
[0.451]
 41.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  76.32 
 (24.94) 
 [0.289] 
52.48
(23)
[0.313]
0.00
(1)
[-0.869]
1.94
(11)
[-0.830]
41.55
(41)
[0.457]
40.97
(41)
[0.435]
20.74
(24)
[-0.477]
22.10
(20)
[-0.634]
67.01
(21)
[0.396]
77.86
(19)
[0.537]
78.34
(31)
[0.183]
22.14
(19)
[-0.532]
4.40
(32)
[-0.244]
76.21
(21)
[0.467]
66.79
(21)
[0.447]
4.47
(19)
[-0.576]
77.05
(23)
[0.433]
23.93
(41)
[0.316]
19.69
(41)
[0.397]
33.50
(21)
[-0.363]
29.26
(23)
[-0.340]
79.35
(17)
[0.594]
71.06
(20)
[0.446]
69.71
(22)
[0.356]
17.86
(26)
[-0.252]
75.22
(26)
[0.342]
8.41
(29)
[-0.132]
27.51
(38)
[0.152]
68.94
(31)
[0.063]
10.62
(20)
[-0.488]
67.19
(22)
[0.403]
60.90
(22)
[0.314]
73.94
(21)
[0.394]
74.22
(22)
[0.342]
71.09
(34)
[0.041]
77.92
(26)
[0.412]
8.50
(29)
[0.067]
 42.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.28 
 (28.22) 
 [0.143] 
46.11
(25)
[0.056]
0.81
(9)
[-0.827]
4.18
(17)
[-0.637]
44.82
(42)
[0.579]
45.29
(42)
[0.598]
14.52
(17)
[-0.720]
16.77
(16)
[-0.795]
65.42
(24)
[0.325]
76.19
(21)
[0.460]
80.30
(29)
[0.272]
23.81
(21)
[-0.454]
4.82
(34)
[-0.153]
75.40
(23)
[0.430]
64.29
(24)
[0.359]
6.43
(30)
[-0.106]
76.69
(24)
[0.416]
25.78
(42)
[0.455]
20.68
(42)
[0.479]
36.67
(27)
[-0.183]
31.58
(25)
[-0.203]
76.19
(21)
[0.391]
66.99
(26)
[0.213]
66.85
(28)
[0.190]
20.35
(33)
[-0.034]
76.15
(23)
[0.405]
8.84
(34)
[-0.043]
29.20
(40)
[0.273]
67.43
(33)
[-0.027]
13.25
(27)
[-0.169]
60.58
(28)
[0.079]
54.85
(29)
[-0.010]
69.05
(28)
[0.091]
69.41
(29)
[0.030]
68.59
(35)
[-0.101]
70.97
(33)
[0.008]
9.62
(35)
[0.376]
 43.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.49 
 (39.36) 
 [-0.889] 
42.19
(29)
[-0.103]
0.00
(1)
[-0.869]
2.41
(13)
[-0.789]
51.41
(43)
[0.827]
51.41
(43)
[0.829]
97.97
(56)
[2.539]
98.38
(51)
[1.675]
2.69
(56)
[-2.459]
4.97
(56)
[-2.846]
6.86
(56)
[-3.070]
95.03
(56)
[2.870]
15.57
(55)
[2.195]
4.80
(56)
[-2.814]
-34.39
(57)
[-3.136]
12.79
(51)
[1.424]
5.29
(56)
[-2.931]
30.12
(43)
[0.785]
23.82
(44)
[0.739]
41.73
(31)
[0.106]
35.43
(30)
[0.025]
72.58
(28)
[0.158]
62.64
(30)
[-0.037]
62.66
(30)
[-0.053]
23.85
(40)
[0.273]
70.30
(32)
[0.010]
10.49
(38)
[0.306]
33.98
(43)
[0.615]
62.06
(38)
[-0.346]
14.07
(30)
[-0.069]
56.97
(31)
[-0.099]
51.54
(31)
[-0.188]
65.80
(32)
[-0.109]
66.11
(35)
[-0.184]
65.48
(36)
[-0.278]
67.35
(36)
[-0.202]
7.64
(24)
[-0.171]
 44.  borkojos's cooccurence&naive bayes   [normal] CL 1 0 1 0  69.38 
 (33.11) 
 [-0.118] 
39.12
(32)
[-0.226]
0.00
(1)
[-0.869]
1.92
(10)
[-0.832]
54.14
(44)
[0.929]
54.79
(44)
[0.956]
26.75
(30)
[-0.242]
29.46
(26)
[-0.411]
59.27
(31)
[0.052]
70.76
(29)
[0.207]
75.10
(35)
[0.036]
29.24
(29)
[-0.200]
4.85
(35)
[-0.146]
70.29
(29)
[0.195]
56.14
(32)
[0.070]
6.65
(32)
[-0.053]
71.51
(31)
[0.173]
32.19
(45)
[0.942]
25.91
(45)
[0.912]
42.77
(32)
[0.165]
36.48
(31)
[0.088]
72.83
(27)
[0.175]
61.79
(32)
[-0.086]
62.21
(32)
[-0.079]
24.01
(41)
[0.287]
69.08
(34)
[-0.072]
10.89
(40)
[0.389]
35.76
(45)
[0.743]
60.31
(42)
[-0.450]
14.22
(31)
[-0.050]
56.17
(33)
[-0.138]
50.26
(34)
[-0.257]
65.23
(34)
[-0.144]
65.48
(36)
[-0.225]
64.84
(38)
[-0.314]
66.61
(37)
[-0.245]
9.39
(33)
[0.311]
 45.  luptarad's laws masks & kNN 1.0  [normal] CL 1 0 1 0  57.44 
 (44.53) 
 [-0.798] 
24.57
(44)
[-0.814]
4.40
(17)
[-0.641]
9.46
(32)
[-0.180]
58.04
(45)
[1.075]
55.34
(45)
[0.977]
51.04
(45)
[0.706]
47.53
(38)
[0.136]
36.75
(46)
[-0.947]
49.97
(47)
[-0.758]
51.28
(49)
[-1.048]
50.03
(48)
[0.770]
7.75
(43)
[0.487]
45.09
(50)
[-0.962]
24.95
(50)
[-1.034]
11.67
(49)
[1.153]
47.24
(50)
[-0.965]
33.82
(47)
[1.065]
28.69
(48)
[1.143]
54.77
(46)
[0.849]
49.64
(49)
[0.868]
59.71
(44)
[-0.671]
51.67
(43)
[-0.667]
48.01
(47)
[-0.904]
31.26
(46)
[0.924]
55.09
(46)
[-1.015]
13.10
(46)
[0.856]
43.21
(49)
[1.275]
47.59
(50)
[-1.205]
22.73
(46)
[0.986]
41.16
(44)
[-0.875]
39.98
(43)
[-0.808]
54.99
(43)
[-0.776]
56.46
(43)
[-0.809]
49.53
(48)
[-1.186]
66.56
(38)
[-0.248]
10.40
(39)
[0.593]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.73
±24.77
OS
16.75
±19.28
US
11.54
±11.56
ME
29.34
±26.71
criterion 'NE' (noise error) in ascending orderNE
29.43
±26.51
O
32.96
±25.61
C
43.04
±33.05
CA
58.09
±22.53
CO
66.29
±21.54
CC
74.32
±21.97
I
33.54
±21.42
II
5.52
±4.58
EA
66.04
±21.76
MS
54.16
±28.24
RM
6.87
±4.16
CI
67.82
±21.33
GCE
19.77
±13.18
LCE
14.90
±12.06
BCE
39.87
±17.55
GBCE
35.00
±16.87
BGM
70.12
±15.53
SC
63.29
±17.43
SSC
63.58
±17.22
VD
20.73
±11.39
L
70.15
±14.84
AVI
9.04
±4.74
NVI
25.38
±13.97
NMI
67.88
±16.85
M
14.63
±8.21
ARI
58.98
±20.37
JC
55.04
±18.64
DC
67.57
±16.20
FMI
68.94
±15.43
WI
70.37
±17.57
WII
70.83
±17.21
NBDE
8.26
±3.61
 46.  leskajur's LFM + kNN   [normal] CL 1 0 1 0  55.02 
 (45.81) 
 [-0.927] 
26.00
(43)
[-0.756]
5.01
(19)
[-0.609]
9.42
(31)
[-0.183]
60.96
(47)
[1.184]
59.65
(46)
[1.140]
66.89
(51)
[1.325]
60.33
(42)
[0.523]
31.40
(51)
[-1.185]
43.31
(49)
[-1.067]
48.73
(52)
[-1.164]
56.69
(49)
[1.081]
11.45
(50)
[1.296]
39.22
(52)
[-1.232]
14.96
(52)
[-1.388]
13.51
(53)
[1.595]
41.76
(52)
[-1.222]
33.27
(46)
[1.024]
27.61
(46)
[1.053]
54.71
(45)
[0.845]
49.05
(46)
[0.833]
59.22
(45)
[-0.702]
50.90
(44)
[-0.711]
48.17
(46)
[-0.895]
30.99
(44)
[0.900]
54.01
(47)
[-1.087]
12.73
(45)
[0.778]
41.80
(47)
[1.175]
48.43
(49)
[-1.155]
23.69
(50)
[1.102]
39.50
(46)
[-0.956]
39.26
(46)
[-0.846]
54.30
(45)
[-0.818]
55.74
(45)
[-0.856]
47.16
(49)
[-1.321]
67.36
(35)
[-0.201]
10.97
(44)
[0.749]
 47.  test's Blobworld   [normal] 0 0 0 0  59.72 
 (42.78) 
 [-0.658] 
21.01
(46)
[-0.957]
7.33
(20)
[-0.488]
9.30
(29)
[-0.194]
59.55
(46)
[1.131]
61.68
(47)
[1.216]
41.45
(38)
[0.331]
58.94
(41)
[0.481]
46.23
(41)
[-0.527]
56.04
(43)
[-0.476]
73.62
(37)
[-0.031]
43.96
(44)
[0.486]
6.72
(38)
[0.262]
58.37
(41)
[-0.352]
40.36
(40)
[-0.489]
7.96
(38)
[0.261]
61.31
(40)
[-0.305]
31.16
(44)
[0.864]
23.19
(43)
[0.687]
56.72
(49)
[0.960]
48.75
(45)
[0.815]
56.04
(48)
[-0.907]
45.75
(48)
[-1.006]
48.66
(45)
[-0.866]
31.11
(45)
[0.911]
61.54
(40)
[-0.580]
12.33
(43)
[0.694]
32.70
(42)
[0.523]
57.36
(43)
[-0.625]
20.03
(44)
[0.656]
39.74
(45)
[-0.944]
36.22
(48)
[-1.009]
51.87
(48)
[-0.968]
52.90
(47)
[-1.040]
55.64
(43)
[-0.838]
52.32
(51)
[-1.075]
12.18
(50)
[1.084]
 48.  veselj38's Histogram ratio features 1.21  [normal] CL 1 0 0 0  48.48 
 (45.72) 
 [-1.163] 
20.64
(47)
[-0.972]
8.84
(24)
[-0.410]
5.46
(19)
[-0.526]
62.70
(48)
[1.249]
62.78
(48)
[1.258]
95.42
(55)
[2.439]
94.85
(49)
[1.568]
9.45
(55)
[-2.159]
13.85
(55)
[-2.434]
17.65
(55)
[-2.579]
86.15
(55)
[2.456]
13.72
(54)
[1.792]
13.61
(55)
[-2.409]
-19.75
(56)
[-2.617]
10.26
(46)
[0.816]
14.53
(55)
[-2.498]
37.36
(48)
[1.334]
28.64
(47)
[1.139]
52.75
(42)
[0.734]
44.03
(42)
[0.535]
62.26
(41)
[-0.506]
50.86
(45)
[-0.713]
51.47
(42)
[-0.703]
30.55
(43)
[0.862]
60.33
(42)
[-0.662]
12.01
(42)
[0.626]
40.10
(46)
[1.053]
56.09
(45)
[-0.700]
17.96
(40)
[0.405]
44.52
(41)
[-0.710]
39.60
(45)
[-0.828]
55.83
(42)
[-0.724]
56.19
(44)
[-0.826]
57.90
(41)
[-0.710]
55.22
(45)
[-0.907]
11.44
(47)
[0.880]
 49.  kamenluk's kamenluk test  [normal] 0 0 0 0  59.94 
 (41.83) 
 [-0.664] 
21.74
(45)
[-0.928]
8.14
(22)
[-0.447]
2.07
(12)
[-0.819]
67.75
(49)
[1.438]
65.81
(49)
[1.372]
40.75
(36)
[0.304]
40.94
(32)
[-0.064]
47.30
(40)
[-0.479]
59.89
(40)
[-0.297]
67.76
(41)
[-0.299]
40.11
(40)
[0.307]
7.20
(40)
[0.368]
59.69
(38)
[-0.292]
39.86
(41)
[-0.506]
8.99
(43)
[0.510]
61.64
(38)
[-0.290]
39.70
(51)
[1.511]
30.66
(49)
[1.306]
54.15
(44)
[0.814]
45.11
(43)
[0.599]
59.89
(43)
[-0.659]
49.53
(46)
[-0.790]
48.70
(44)
[-0.864]
33.50
(47)
[1.120]
57.31
(44)
[-0.865]
12.57
(44)
[0.744]
42.33
(48)
[1.213]
53.02
(46)
[-0.882]
19.50
(41)
[0.592]
42.13
(42)
[-0.827]
39.76
(44)
[-0.820]
54.66
(44)
[-0.797]
54.92
(46)
[-0.909]
54.52
(45)
[-0.902]
55.84
(44)
[-0.871]
11.02
(45)
[0.764]
 50.  pavelm10's base   [large] 0 0 0 0  57.57 
 (44.17) 
 [-0.792] 
15.03
(49)
[-1.199]
7.45
(21)
[-0.482]
5.73
(20)
[-0.503]
71.45
(50)
[1.577]
70.33
(50)
[1.543]
42.80
(39)
[0.384]
43.04
(33)
[-0.000]
44.01
(42)
[-0.625]
57.43
(42)
[-0.411]
63.10
(45)
[-0.511]
42.57
(42)
[0.422]
8.47
(44)
[0.644]
57.00
(42)
[-0.415]
36.17
(44)
[-0.637]
8.11
(39)
[0.298]
58.55
(42)
[-0.434]
41.99
(52)
[1.685]
33.47
(52)
[1.539]
56.18
(48)
[0.929]
47.66
(44)
[0.750]
57.43
(47)
[-0.817]
46.82
(47)
[-0.945]
46.31
(48)
[-1.003]
35.13
(49)
[1.264]
56.79
(45)
[-0.900]
13.15
(47)
[0.865]
44.70
(50)
[1.382]
51.24
(48)
[-0.988]
19.90
(43)
[0.641]
39.36
(47)
[-0.963]
36.47
(47)
[-0.996]
52.04
(47)
[-0.958]
52.32
(48)
[-1.078]
51.41
(46)
[-1.079]
53.79
(49)
[-0.990]
10.55
(42)
[0.634]
 51.  jirkujak's LBP 3,1  [normal] CL 1 0 1 0  48.96 
 (49.72) 
 [-1.316] 
12.16
(52)
[-1.315]
0.00
(1)
[-0.869]
9.67
(35)
[-0.162]
75.55
(51)
[1.730]
74.24
(51)
[1.690]
72.24
(52)
[1.534]
51.36
(39)
[0.252]
26.31
(53)
[-1.411]
40.38
(52)
[-1.203]
51.72
(48)
[-1.028]
59.62
(52)
[1.218]
10.11
(48)
[1.003]
35.36
(53)
[-1.410]
10.56
(53)
[-1.544]
17.37
(56)
[2.522]
39.04
(53)
[-1.349]
37.54
(49)
[1.348]
31.64
(50)
[1.387]
63.95
(53)
[1.372]
58.04
(52)
[1.366]
50.06
(52)
[-1.292]
41.51
(52)
[-1.250]
38.46
(52)
[-1.459]
37.57
(53)
[1.478]
45.85
(53)
[-1.637]
14.95
(51)
[1.246]
50.03
(54)
[1.763]
36.86
(54)
[-1.841]
30.94
(55)
[1.985]
24.97
(55)
[-1.670]
29.64
(52)
[-1.362]
44.62
(52)
[-1.416]
46.39
(53)
[-1.462]
36.80
(56)
[-1.910]
59.78
(41)
[-0.642]
12.95
(52)
[1.299]
 52.  guloleg's HOG  [normal] 1 0 1 0  53.15 
 (47.56) 
 [-1.080] 
11.59
(53)
[-1.338]
1.54
(10)
[-0.789]
9.62
(34)
[-0.166]
76.51
(52)
[1.766]
77.17
(52)
[1.801]
51.11
(46)
[0.709]
46.26
(35)
[0.097]
35.67
(47)
[-0.996]
52.72
(44)
[-0.630]
49.37
(50)
[-1.136]
47.28
(45)
[0.641]
12.13
(51)
[1.443]
47.43
(46)
[-0.855]
29.09
(47)
[-0.888]
12.53
(50)
[1.360]
49.14
(47)
[-0.876]
37.69
(50)
[1.359]
32.92
(51)
[1.494]
60.40
(50)
[1.170]
55.62
(51)
[1.222]
52.72
(49)
[-1.121]
43.59
(49)
[-1.131]
41.08
(50)
[-1.307]
36.90
(52)
[1.419]
50.46
(51)
[-1.327]
13.59
(48)
[0.960]
46.09
(51)
[1.481]
42.23
(52)
[-1.523]
27.03
(53)
[1.509]
30.87
(52)
[-1.380]
33.00
(49)
[-1.182]
48.91
(49)
[-1.152]
49.98
(49)
[-1.229]
42.69
(54)
[-1.575]
59.55
(42)
[-0.655]
12.24
(51)
[1.103]
 53.  Alojz's TAlgorithm 0.1  [normal] 0 0 1 0  52.97 
 (48.33) 
 [-1.162] 
13.11
(50)
[-1.277]
11.94
(30)
[-0.250]
8.18
(26)
[-0.290]
76.71
(53)
[1.774]
77.30
(53)
[1.805]
44.41
(41)
[0.447]
46.76
(37)
[0.112]
40.40
(44)
[-0.786]
52.42
(45)
[-0.644]
63.23
(44)
[-0.505]
47.58
(46)
[0.656]
12.47
(52)
[1.518]
52.83
(43)
[-0.607]
31.07
(46)
[-0.818]
14.09
(54)
[1.736]
55.02
(44)
[-0.600]
45.06
(55)
[1.918]
37.72
(53)
[1.892]
61.44
(51)
[1.229]
54.10
(50)
[1.132]
52.42
(50)
[-1.140]
41.97
(50)
[-1.224]
41.82
(49)
[-1.263]
39.59
(54)
[1.655]
51.93
(49)
[-1.228]
18.79
(54)
[2.055]
47.89
(52)
[1.611]
44.63
(51)
[-1.380]
25.93
(52)
[1.375]
32.97
(50)
[-1.277]
31.47
(51)
[-1.264]
45.98
(51)
[-1.332]
46.62
(52)
[-1.447]
46.86
(50)
[-1.338]
47.76
(52)
[-1.340]
15.50
(56)
[2.005]
 54.  eldeeqq's Test 0.1  [normal] 1 0 0 0  51.09 
 (47.81) 
 [-1.145] 
8.67
(55)
[-1.456]
0.80
(8)
[-0.827]
0.00
(1)
[-0.998]
78.33
(54)
[1.834]
78.75
(54)
[1.860]
47.95
(43)
[0.585]
46.67
(36)
[0.110]
32.97
(49)
[-1.115]
46.72
(48)
[-0.908]
48.37
(53)
[-1.181]
43.28
(43)
[0.455]
9.98
(47)
[0.975]
45.29
(48)
[-0.953]
25.43
(49)
[-1.017]
7.08
(35)
[0.049]
46.37
(51)
[-1.006]
44.75
(54)
[1.895]
38.35
(54)
[1.944]
56.00
(47)
[0.919]
49.60
(48)
[0.865]
46.72
(53)
[-1.507]
36.92
(53)
[-1.513]
35.04
(54)
[-1.657]
36.38
(51)
[1.373]
44.04
(56)
[-1.759]
14.08
(50)
[1.063]
48.85
(53)
[1.679]
36.29
(56)
[-1.875]
21.01
(45)
[0.777]
27.37
(54)
[-1.552]
27.06
(54)
[-1.500]
41.12
(54)
[-1.632]
41.32
(55)
[-1.790]
38.20
(55)
[-1.831]
44.84
(53)
[-1.510]
11.50
(48)
[0.896]
 55.  py's CGCHI   [large] 0 0 0 0  51.34 
 (48.31) 
 [-1.151] 
10.94
(54)
[-1.364]
2.19
(15)
[-0.755]
3.96
(16)
[-0.655]
81.91
(55)
[1.968]
81.39
(55)
[1.960]
59.33
(48)
[1.030]
51.77
(40)
[0.264]
35.62
(48)
[-0.997]
50.50
(46)
[-0.733]
49.27
(51)
[-1.140]
49.50
(47)
[0.745]
10.69
(49)
[1.130]
47.04
(47)
[-0.873]
26.89
(48)
[-0.966]
10.28
(47)
[0.820]
48.39
(48)
[-0.911]
42.35
(53)
[1.712]
38.59
(55)
[1.964]
62.15
(52)
[1.269]
58.39
(53)
[1.386]
50.50
(51)
[-1.264]
41.93
(51)
[-1.226]
39.53
(51)
[-1.396]
40.15
(55)
[1.704]
48.15
(52)
[-1.483]
15.31
(52)
[1.321]
50.16
(55)
[1.773]
39.47
(53)
[-1.687]
25.32
(51)
[1.301]
30.89
(51)
[-1.379]
31.50
(50)
[-1.263]
46.39
(50)
[-1.307]
47.54
(51)
[-1.387]
43.30
(53)
[-1.540]
54.28
(46)
[-0.962]
10.44
(40)
[0.604]
 56.  mahelpet's noname   [normal] 1 0 0 0  39.59 
 (53.50) 
 [-1.903] 
3.83
(57)
[-1.651]
0.00
(1)
[-0.869]
12.17
(42)
[0.055]
85.20
(56)
[2.092]
85.02
(56)
[2.097]
78.47
(54)
[1.777]
72.17
(44)
[0.881]
21.29
(54)
[-1.634]
36.59
(53)
[-1.379]
34.58
(54)
[-1.809]
63.41
(53)
[1.395]
15.70
(56)
[2.222]
31.91
(54)
[-1.568]
4.88
(54)
[-1.745]
14.13
(55)
[1.745]
33.63
(54)
[-1.603]
53.56
(57)
[2.563]
49.11
(57)
[2.836]
75.05
(56)
[2.005]
70.61
(56)
[2.110]
36.59
(56)
[-2.160]
28.80
(56)
[-1.979]
26.36
(57)
[-2.162]
50.56
(57)
[2.617]
34.75
(57)
[-2.386]
20.67
(57)
[2.452]
68.12
(57)
[3.058]
15.50
(57)
[-3.109]
34.56
(56)
[2.425]
12.57
(57)
[-2.279]
21.60
(57)
[-1.794]
34.65
(56)
[-2.031]
35.98
(57)
[-2.136]
30.24
(57)
[-2.284]
44.75
(54)
[-1.515]
14.79
(55)
[1.808]
 57.  siddharth's My algo1 0.1  [normal] 0 0 0 0  46.12 
 (50.00) 
 [-1.439] 
6.21
(56)
[-1.555]
4.72
(18)
[-0.624]
1.24
(7)
[-0.891]
86.25
(57)
[2.131]
86.52
(57)
[2.153]
59.41
(49)
[1.033]
70.16
(43)
[0.821]
31.76
(50)
[-1.169]
40.60
(50)
[-1.193]
61.24
(46)
[-0.595]
59.41
(50)
[1.208]
7.01
(39)
[0.326]
45.21
(49)
[-0.957]
20.36
(51)
[-1.197]
9.33
(44)
[0.592]
47.85
(49)
[-0.936]
51.10
(56)
[2.376]
46.25
(56)
[2.599]
70.95
(55)
[1.771]
66.10
(54)
[1.843]
40.60
(54)
[-1.902]
30.85
(55)
[-1.862]
32.95
(55)
[-1.779]
47.91
(56)
[2.386]
45.58
(54)
[-1.656]
19.24
(55)
[2.149]
54.43
(56)
[2.079]
36.40
(55)
[-1.868]
22.77
(47)
[0.991]
22.97
(56)
[-1.768]
22.58
(55)
[-1.741]
35.98
(55)
[-1.949]
37.05
(56)
[-2.067]
45.58
(51)
[-1.411]
30.81
(55)
[-2.325]
11.62
(49)
[0.929]