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
44.06
±25.42
OS
20.96
±21.32
US
12.80
±13.04
ME
25.69
±26.36
criterion 'NE' (noise error) in ascending orderNE
25.87
±26.21
O
33.83
±24.81
C
48.44
±34.70
CA
58.34
±22.00
CO
66.06
±21.15
CC
76.01
±21.75
I
33.69
±20.97
II
5.21
±4.65
EA
66.32
±21.03
MS
55.50
±26.18
RM
6.36
±3.90
CI
68.30
±20.59
GCE
17.97
±13.54
LCE
13.39
±12.26
BCE
40.72
±18.07
GBCE
36.15
±17.25
BGM
68.86
±16.21
SC
62.15
±18.17
SSC
62.91
±17.65
VD
20.69
±11.64
L
69.70
±15.07
AVI
9.11
±4.84
NVI
24.05
±13.98
NMI
68.37
±16.76
M
14.76
±8.18
ARI
58.35
±20.63
JC
54.34
±19.16
DC
66.80
±16.73
FMI
68.51
±15.86
WI
71.50
±17.74
WII
69.71
±18.98
NBDE
8.29
±3.67
 1.  huangyuan's unet psp21ewt  [normal] CL 1 0 0 0  97.67 
 (2.11) 
 [1.533] 
98.09
(2)
[2.126]
1.70
(5)
[-0.903]
0.00
(1)
[-0.981]
0.37
(1)
[-0.961]
0.09
(1)
[-0.983]
1.57
(2)
[-1.300]
1.82
(2)
[-1.344]
96.52
(2)
[1.736]
98.18
(2)
[1.519]
98.01
(3)
[1.012]
1.82
(2)
[-1.520]
0.39
(4)
[-1.035]
98.08
(2)
[1.510]
97.27
(2)
[1.596]
0.29
(3)
[-1.556]
98.09
(2)
[1.447]
3.20
(2)
[-1.091]
2.70
(2)
[-0.873]
3.95
(2)
[-2.035]
3.44
(2)
[-1.896]
98.18
(2)
[1.809]
96.71
(2)
[1.902]
96.55
(2)
[1.906]
1.75
(2)
[-1.627]
96.57
(2)
[1.782]
1.48
(2)
[-1.576]
4.90
(2)
[-1.370]
94.58
(2)
[1.564]
1.08
(2)
[-1.673]
96.60
(2)
[1.855]
94.77
(2)
[2.110]
97.29
(2)
[1.822]
97.29
(2)
[1.815]
97.15
(2)
[1.446]
97.44
(2)
[1.461]
0.77
(2)
[-2.047]
 2.  huangyuan's EWT-FCNT   [normal] CL 1 0 0 0  98.43 
 (1.14) 
 [1.580] 
98.45
(1)
[2.140]
0.00
(1)
[-0.983]
0.00
(1)
[-0.981]
0.37
(2)
[-0.960]
0.46
(2)
[-0.969]
0.93
(1)
[-1.327]
1.05
(1)
[-1.366]
97.67
(1)
[1.788]
98.78
(1)
[1.547]
98.81
(1)
[1.048]
1.22
(1)
[-1.548]
0.25
(3)
[-1.066]
98.76
(1)
[1.543]
98.17
(1)
[1.630]
0.24
(2)
[-1.568]
98.78
(1)
[1.480]
2.23
(1)
[-1.163]
1.68
(1)
[-0.955]
2.88
(1)
[-2.095]
2.33
(1)
[-1.961]
98.78
(1)
[1.845]
97.69
(1)
[1.956]
97.67
(1)
[1.969]
1.21
(1)
[-1.674]
97.86
(1)
[1.868]
1.02
(1)
[-1.672]
3.33
(1)
[-1.483]
96.32
(1)
[1.667]
0.74
(1)
[-1.714]
97.61
(1)
[1.904]
96.31
(1)
[2.191]
98.09
(1)
[1.870]
98.09
(1)
[1.865]
98.14
(1)
[1.502]
98.04
(1)
[1.492]
0.60
(1)
[-2.093]
 3.  v-andrearczyk's FCNT unsup.  [large] 0 0 0 0  89.21 
 (5.72) 
 [1.042] 
79.34
(4)
[1.388]
13.67
(20)
[-0.342]
6.25
(16)
[-0.502]
3.80
(4)
[-0.830]
3.80
(3)
[-0.842]
6.48
(4)
[-1.103]
22.88
(12)
[-0.736]
84.17
(4)
[1.175]
87.97
(5)
[1.036]
94.15
(6)
[0.834]
12.03
(5)
[-1.033]
1.42
(8)
[-0.815]
88.97
(4)
[1.077]
85.23
(4)
[1.136]
3.12
(7)
[-0.831]
89.91
(4)
[1.049]
6.46
(4)
[-0.850]
4.75
(5)
[-0.705]
17.73
(5)
[-1.272]
16.02
(5)
[-1.167]
87.97
(6)
[1.179]
84.11
(5)
[1.208]
84.85
(5)
[1.243]
7.79
(5)
[-1.108]
88.53
(4)
[1.249]
3.93
(4)
[-1.070]
10.70
(5)
[-0.955]
86.81
(4)
[1.100]
4.88
(5)
[-1.209]
84.85
(5)
[1.285]
80.02
(4)
[1.341]
87.75
(5)
[1.252]
88.28
(4)
[1.247]
90.69
(6)
[1.082]
87.01
(7)
[0.911]
3.32
(3)
[-1.355]
 4.  mevenkamp's PCA-MS   [large] 0 0 0 0  87.45 
 (8.58) 
 [0.919] 
72.27
(8)
[1.110]
18.33
(28)
[-0.123]
9.41
(22)
[-0.259]
4.19
(6)
[-0.816]
3.92
(4)
[-0.838]
7.25
(6)
[-1.072]
6.44
(4)
[-1.211]
81.13
(7)
[1.036]
85.96
(8)
[0.941]
91.24
(11)
[0.701]
14.04
(8)
[-0.937]
1.59
(11)
[-0.777]
87.08
(8)
[0.987]
81.84
(7)
[1.006]
4.45
(14)
[-0.490]
87.81
(8)
[0.947]
8.33
(10)
[-0.711]
5.61
(8)
[-0.635]
21.00
(7)
[-1.091]
18.28
(7)
[-1.036]
85.96
(8)
[1.055]
81.30
(7)
[1.054]
82.16
(7)
[1.090]
9.06
(7)
[-0.999]
85.54
(7)
[1.051]
4.31
(5)
[-0.993]
13.22
(8)
[-0.775]
84.78
(6)
[0.979]
5.88
(7)
[-1.085]
81.62
(7)
[1.129]
75.30
(7)
[1.094]
85.25
(7)
[1.103]
85.71
(7)
[1.085]
88.20
(9)
[0.941]
84.18
(11)
[0.762]
3.98
(7)
[-1.174]
 5.  emkay's A3M 1.0  [large] 0 0 0 0  88.21 
 (7.44) 
 [0.984] 
77.73
(5)
[1.325]
15.92
(26)
[-0.236]
6.31
(17)
[-0.497]
3.93
(5)
[-0.825]
3.92
(5)
[-0.837]
7.68
(7)
[-1.054]
24.24
(13)
[-0.697]
82.80
(6)
[1.112]
86.89
(7)
[0.985]
93.65
(7)
[0.811]
13.11
(7)
[-0.981]
1.50
(10)
[-0.798]
88.03
(6)
[1.033]
83.98
(5)
[1.088]
3.27
(10)
[-0.792]
89.03
(5)
[1.007]
7.40
(7)
[-0.781]
5.62
(9)
[-0.634]
19.31
(6)
[-1.185]
17.53
(6)
[-1.079]
86.89
(7)
[1.112]
82.57
(6)
[1.124]
83.49
(6)
[1.166]
8.57
(6)
[-1.041]
87.67
(5)
[1.192]
4.39
(7)
[-0.975]
11.86
(6)
[-0.872]
85.28
(5)
[1.009]
5.30
(6)
[-1.156]
83.46
(6)
[1.217]
78.26
(6)
[1.249]
86.61
(6)
[1.184]
87.16
(6)
[1.176]
89.88
(7)
[1.036]
85.64
(9)
[0.839]
3.51
(5)
[-1.301]
 6.  cpanag@csd.uoc.gr's VRA-PMCFA   [large] 0 0 0 0  89.36 
 (6.11) 
 [1.041] 
75.14
(6)
[1.223]
12.13
(18)
[-0.414]
9.85
(23)
[-0.226]
4.38
(8)
[-0.808]
4.37
(6)
[-0.820]
4.51
(3)
[-1.182]
8.89
(5)
[-1.140]
83.45
(5)
[1.142]
88.12
(4)
[1.043]
90.73
(13)
[0.677]
11.88
(4)
[-1.040]
1.48
(9)
[-0.802]
88.07
(5)
[1.034]
83.92
(6)
[1.086]
3.75
(12)
[-0.669]
88.72
(6)
[0.992]
6.55
(5)
[-0.843]
3.90
(4)
[-0.774]
17.51
(4)
[-1.285]
14.86
(4)
[-1.234]
88.12
(4)
[1.188]
84.63
(4)
[1.237]
84.95
(4)
[1.249]
7.59
(4)
[-1.125]
87.58
(6)
[1.186]
3.25
(3)
[-1.212]
9.89
(3)
[-1.013]
88.52
(3)
[1.202]
4.76
(4)
[-1.223]
84.94
(4)
[1.289]
79.62
(5)
[1.320]
87.84
(4)
[1.258]
88.25
(5)
[1.245]
88.92
(8)
[0.982]
88.43
(5)
[0.986]
3.40
(4)
[-1.332]
 7.  felipecalderero's GSRM MARKOV unsup. KL area-weighted  [normal] 0 0 0 0  76.16 
 (18.19) 
 [0.236] 
54.70
(14)
[0.419]
15.14
(24)
[-0.273]
23.71
(32)
[0.837]
5.49
(9)
[-0.766]
4.55
(7)
[-0.813]
24.79
(18)
[-0.364]
31.43
(17)
[-0.490]
63.98
(18)
[0.257]
71.55
(17)
[0.259]
75.39
(24)
[-0.028]
28.45
(17)
[-0.250]
4.53
(25)
[-0.145]
69.79
(19)
[0.165]
61.55
(19)
[0.231]
8.77
(30)
[0.618]
71.46
(21)
[0.154]
6.75
(6)
[-0.829]
4.81
(6)
[-0.700]
35.49
(17)
[-0.289]
33.56
(19)
[-0.150]
71.55
(17)
[0.166]
67.70
(16)
[0.305]
67.48
(17)
[0.259]
16.16
(16)
[-0.389]
73.83
(19)
[0.274]
6.79
(15)
[-0.480]
19.22
(20)
[-0.346]
74.98
(18)
[0.394]
17.61
(27)
[0.349]
61.29
(18)
[0.143]
57.57
(17)
[0.169]
69.20
(18)
[0.143]
72.50
(17)
[0.252]
73.38
(23)
[0.106]
80.01
(17)
[0.543]
9.00
(21)
[0.192]
 8.  test's EDISON 1.1  [normal] 0 0 0 0  53.36 
 (28.25) 
 [-0.911] 
12.68
(36)
[-1.235]
86.91
(40)
[3.094]
0.00
(1)
[-0.981]
2.48
(3)
[-0.881]
4.68
(8)
[-0.808]
73.17
(37)
[1.586]
100.00
(36)
[1.486]
31.19
(37)
[-1.234]
31.55
(38)
[-1.632]
98.09
(2)
[1.015]
68.45
(38)
[1.657]
0.24
(2)
[-1.068]
41.29
(37)
[-1.190]
31.13
(34)
[-0.931]
3.21
(9)
[-0.807]
50.29
(34)
[-0.874]
3.55
(3)
[-1.065]
3.44
(3)
[-0.812]
77.11
(40)
[2.014]
77.00
(40)
[2.369]
31.55
(40)
[-2.301]
23.11
(40)
[-2.149]
31.19
(39)
[-1.797]
35.37
(36)
[1.262]
44.44
(38)
[-1.676]
20.23
(39)
[2.299]
26.13
(29)
[0.148]
62.00
(28)
[-0.380]
16.84
(26)
[0.255]
28.00
(37)
[-1.471]
21.64
(39)
[-1.707]
32.51
(40)
[-2.049]
42.66
(37)
[-1.631]
95.06
(3)
[1.328]
21.85
(40)
[-2.522]
10.49
(28)
[0.599]
 9.  jolen217's Deep Brain Model   [large] 0 0 0 0  67.18 
 (22.75) 
 [-0.199] 
38.00
(21)
[-0.238]
41.53
(33)
[0.965]
52.52
(40)
[3.046]
4.21
(7)
[-0.815]
5.46
(9)
[-0.779]
45.27
(30)
[0.461]
99.63
(35)
[1.475]
51.84
(26)
[-0.295]
64.66
(24)
[-0.066]
72.83
(27)
[-0.146]
35.34
(24)
[0.079]
9.89
(34)
[1.007]
58.77
(28)
[-0.359]
49.29
(26)
[-0.237]
2.88
(5)
[-0.891]
61.50
(28)
[-0.330]
10.61
(14)
[-0.543]
5.14
(7)
[-0.674]
45.13
(23)
[0.244]
39.65
(23)
[0.203]
64.66
(24)
[-0.259]
60.14
(22)
[-0.111]
58.32
(24)
[-0.260]
19.20
(21)
[-0.127]
62.95
(26)
[-0.448]
8.48
(21)
[-0.130]
10.29
(4)
[-0.985]
65.13
(27)
[-0.193]
23.02
(35)
[1.009]
51.62
(26)
[-0.326]
49.93
(23)
[-0.230]
64.37
(24)
[-0.145]
67.76
(22)
[-0.047]
55.31
(32)
[-0.912]
88.07
(6)
[0.967]
8.26
(18)
[-0.008]
 10.  cbampis's GRPNMF   [large] 0 0 0 0  84.98 
 (11.31) 
 [0.779] 
69.50
(9)
[1.001]
16.05
(27)
[-0.230]
9.90
(24)
[-0.222]
5.74
(11)
[-0.757]
5.89
(10)
[-0.762]
10.33
(9)
[-0.948]
18.35
(11)
[-0.867]
77.92
(9)
[0.890]
84.00
(10)
[0.848]
88.41
(17)
[0.570]
16.00
(10)
[-0.843]
2.26
(14)
[-0.634]
84.39
(9)
[0.859]
78.57
(9)
[0.881]
4.34
(13)
[-0.519]
85.24
(9)
[0.823]
10.61
(13)
[-0.543]
7.69
(18)
[-0.466]
24.22
(10)
[-0.913]
21.30
(10)
[-0.861]
84.00
(10)
[0.934]
78.67
(10)
[0.909]
79.21
(9)
[0.923]
10.80
(9)
[-0.850]
83.08
(9)
[0.888]
5.39
(10)
[-0.768]
15.83
(10)
[-0.589]
81.02
(8)
[0.755]
7.42
(9)
[-0.898]
77.88
(9)
[0.947]
71.59
(9)
[0.901]
82.22
(10)
[0.922]
82.96
(9)
[0.911]
83.80
(13)
[0.693]
83.76
(13)
[0.740]
4.73
(8)
[-0.970]
 11.  yuanj's FSEG 3.0  [large] 0 0 0 0  84.47 
 (11.83) 
 [0.734] 
69.24
(10)
[0.991]
12.28
(19)
[-0.407]
17.03
(30)
[0.324]
7.71
(14)
[-0.682]
6.89
(11)
[-0.724]
11.66
(10)
[-0.894]
11.71
(8)
[-1.058]
76.32
(10)
[0.818]
84.05
(9)
[0.851]
84.15
(19)
[0.374]
15.95
(9)
[-0.846]
3.29
(17)
[-0.412]
82.53
(10)
[0.771]
77.11
(10)
[0.825]
5.00
(20)
[-0.349]
83.26
(10)
[0.726]
10.75
(15)
[-0.533]
7.52
(17)
[-0.479]
24.10
(9)
[-0.920]
20.87
(9)
[-0.886]
84.05
(9)
[0.937]
79.66
(9)
[0.963]
78.46
(10)
[0.881]
10.68
(8)
[-0.860]
80.37
(11)
[0.708]
5.17
(9)
[-0.814]
16.53
(12)
[-0.538]
80.60
(10)
[0.730]
7.88
(10)
[-0.841]
77.38
(10)
[0.923]
71.30
(10)
[0.885]
82.36
(9)
[0.930]
82.95
(10)
[0.911]
80.29
(15)
[0.496]
86.86
(8)
[0.903]
4.99
(10)
[-0.899]
 12.  xaos's MW3AR   [normal] 0 0 0 0  77.71 
 (13.75) 
 [0.448] 
53.04
(16)
[0.353]
59.53
(38)
[1.809]
3.20
(11)
[-0.736]
5.63
(10)
[-0.761]
6.96
(12)
[-0.721]
19.32
(15)
[-0.585]
86.19
(30)
[1.088]
71.89
(12)
[0.616]
74.66
(15)
[0.406]
95.04
(5)
[0.875]
25.34
(15)
[-0.398]
0.74
(6)
[-0.960]
80.43
(12)
[0.671]
71.78
(13)
[0.622]
3.09
(6)
[-0.839]
82.43
(11)
[0.686]
8.17
(9)
[-0.724]
5.78
(10)
[-0.621]
34.50
(15)
[-0.344]
32.11
(17)
[-0.234]
74.66
(15)
[0.357]
66.84
(17)
[0.258]
72.27
(14)
[0.530]
14.78
(14)
[-0.508]
80.63
(10)
[0.725]
7.16
(17)
[-0.402]
12.59
(7)
[-0.820]
79.57
(11)
[0.668]
8.97
(12)
[-0.708]
68.82
(13)
[0.508]
61.24
(14)
[0.360]
73.42
(14)
[0.396]
75.65
(14)
[0.450]
91.53
(5)
[1.129]
64.93
(25)
[-0.252]
7.12
(15)
[-0.318]
 13.  yuanj's FSEG woMg  [large] 0 0 0 0  80.37 
 (14.08) 
 [0.537] 
56.96
(12)
[0.508]
32.75
(30)
[0.553]
6.74
(19)
[-0.464]
7.45
(13)
[-0.692]
7.05
(13)
[-0.718]
15.50
(12)
[-0.739]
38.33
(20)
[-0.291]
72.29
(11)
[0.634]
77.63
(13)
[0.547]
90.76
(12)
[0.678]
22.37
(13)
[-0.540]
1.70
(12)
[-0.754]
80.75
(11)
[0.686]
72.92
(11)
[0.665]
4.90
(18)
[-0.374]
82.35
(12)
[0.683]
11.72
(17)
[-0.462]
7.91
(20)
[-0.447]
31.90
(13)
[-0.488]
28.09
(14)
[-0.467]
77.63
(13)
[0.541]
70.77
(13)
[0.474]
73.29
(12)
[0.588]
13.96
(13)
[-0.578]
80.10
(12)
[0.690]
6.64
(14)
[-0.510]
17.51
(14)
[-0.468]
78.28
(13)
[0.591]
8.61
(11)
[-0.752]
71.79
(12)
[0.652]
64.05
(12)
[0.507]
76.75
(12)
[0.595]
77.95
(12)
[0.595]
86.18
(11)
[0.828]
72.30
(23)
[0.136]
6.37
(14)
[-0.523]
 14.  test's TBES 1.0  [normal] 0 0 0 0  72.22 
 (18.64) 
 [0.138] 
37.72
(22)
[-0.249]
59.77
(39)
[1.820]
1.25
(7)
[-0.885]
7.24
(12)
[-0.700]
8.22
(14)
[-0.673]
27.55
(20)
[-0.253]
95.08
(34)
[1.344]
63.30
(19)
[0.226]
65.66
(22)
[-0.019]
96.20
(4)
[0.928]
34.34
(22)
[0.031]
0.60
(5)
[-0.990]
74.19
(16)
[0.374]
63.73
(17)
[0.314]
5.27
(21)
[-0.279]
77.29
(16)
[0.437]
7.57
(8)
[-0.768]
6.02
(13)
[-0.601]
44.81
(22)
[0.226]
43.26
(26)
[0.412]
65.66
(22)
[-0.197]
56.32
(25)
[-0.321]
63.34
(19)
[0.024]
19.40
(22)
[-0.111]
75.45
(16)
[0.381]
8.76
(24)
[-0.072]
18.00
(16)
[-0.433]
75.24
(17)
[0.410]
10.93
(14)
[-0.469]
60.46
(19)
[0.102]
51.10
(21)
[-0.169]
66.22
(21)
[-0.035]
69.21
(21)
[0.044]
91.55
(4)
[1.130]
53.39
(34)
[-0.860]
8.10
(17)
[-0.054]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.06
±25.42
OS
20.96
±21.32
US
12.80
±13.04
ME
25.69
±26.36
criterion 'NE' (noise error) in ascending orderNE
25.87
±26.21
O
33.83
±24.81
C
48.44
±34.70
CA
58.34
±22.00
CO
66.06
±21.15
CC
76.01
±21.75
I
33.69
±20.97
II
5.21
±4.65
EA
66.32
±21.03
MS
55.50
±26.18
RM
6.36
±3.90
CI
68.30
±20.59
GCE
17.97
±13.54
LCE
13.39
±12.26
BCE
40.72
±18.07
GBCE
36.15
±17.25
BGM
68.86
±16.21
SC
62.15
±18.17
SSC
62.91
±17.65
VD
20.69
±11.64
L
69.70
±15.07
AVI
9.11
±4.84
NVI
24.05
±13.98
NMI
68.37
±16.76
M
14.76
±8.18
ARI
58.35
±20.63
JC
54.34
±19.16
DC
66.80
±16.73
FMI
68.51
±15.86
WI
71.50
±17.74
WII
69.71
±18.98
NBDE
8.29
±3.67
 15.  daicav's SegTexCol  [large] 0 0 0 0  82.50 
 (12.86) 
 [0.622] 
61.19
(11)
[0.674]
1.92
(7)
[-0.893]
27.02
(35)
[1.091]
9.33
(15)
[-0.621]
9.05
(15)
[-0.642]
15.17
(11)
[-0.753]
12.12
(9)
[-1.047]
71.69
(13)
[0.607]
81.16
(11)
[0.714]
76.34
(23)
[0.015]
18.84
(11)
[-0.708]
3.77
(21)
[-0.310]
77.20
(13)
[0.518]
71.87
(12)
[0.626]
6.40
(22)
[0.010]
77.95
(13)
[0.469]
8.36
(11)
[-0.710]
6.01
(12)
[-0.602]
25.98
(11)
[-0.816]
23.63
(11)
[-0.726]
81.16
(11)
[0.758]
78.15
(11)
[0.880]
75.50
(11)
[0.713]
11.75
(11)
[-0.768]
76.27
(15)
[0.435]
4.88
(8)
[-0.873]
16.00
(11)
[-0.576]
80.93
(9)
[0.749]
9.19
(13)
[-0.682]
75.75
(11)
[0.844]
70.11
(11)
[0.823]
80.97
(11)
[0.847]
81.91
(11)
[0.845]
75.75
(20)
[0.240]
90.27
(3)
[1.083]
4.93
(9)
[-0.917]
 16.  connetwork12's conn col-noblur  [normal] CL 1 0 0 0  90.41 
 (5.94) 
 [1.088] 
84.57
(3)
[1.594]
0.00
(1)
[-0.983]
1.70
(8)
[-0.851]
9.50
(16)
[-0.614]
10.22
(16)
[-0.597]
7.00
(5)
[-1.082]
5.34
(3)
[-1.242]
86.21
(3)
[1.267]
92.02
(3)
[1.228]
92.68
(9)
[0.767]
7.98
(3)
[-1.226]
1.70
(13)
[-0.753]
91.72
(3)
[1.208]
88.03
(3)
[1.243]
2.08
(4)
[-1.097]
92.02
(3)
[1.152]
11.76
(18)
[-0.458]
8.61
(22)
[-0.390]
16.45
(3)
[-1.343]
13.30
(3)
[-1.325]
92.02
(3)
[1.429]
86.73
(3)
[1.353]
86.36
(3)
[1.329]
7.50
(3)
[-1.134]
88.77
(3)
[1.265]
4.31
(6)
[-0.992]
14.50
(9)
[-0.683]
84.01
(7)
[0.933]
4.69
(3)
[-1.232]
85.54
(3)
[1.319]
80.13
(3)
[1.346]
88.56
(3)
[1.301]
88.61
(3)
[1.268]
87.65
(10)
[0.910]
89.66
(4)
[1.051]
3.86
(6)
[-1.205]
 17.  sylvia's TEX-ROI-SEG 1.0  [normal] 0 0 0 0  80.15 
 (15.25) 
 [0.480] 
56.37
(13)
[0.485]
11.93
(17)
[-0.424]
19.79
(31)
[0.536]
11.55
(18)
[-0.536]
10.29
(17)
[-0.594]
18.21
(14)
[-0.630]
9.63
(6)
[-1.119]
69.45
(14)
[0.505]
78.26
(12)
[0.577]
81.24
(22)
[0.241]
21.74
(12)
[-0.570]
4.16
(23)
[-0.226]
76.31
(14)
[0.475]
68.88
(14)
[0.511]
7.37
(26)
[0.259]
77.86
(14)
[0.465]
11.99
(19)
[-0.442]
6.71
(15)
[-0.545]
30.48
(12)
[-0.567]
25.20
(12)
[-0.635]
78.26
(12)
[0.580]
73.70
(12)
[0.635]
72.48
(13)
[0.542]
13.66
(12)
[-0.604]
76.83
(13)
[0.473]
5.74
(11)
[-0.695]
18.34
(18)
[-0.408]
78.12
(14)
[0.581]
11.74
(16)
[-0.370]
68.74
(14)
[0.504]
63.73
(13)
[0.490]
75.91
(13)
[0.544]
77.00
(13)
[0.535]
73.11
(24)
[0.091]
83.24
(14)
[0.712]
5.45
(12)
[-0.773]
 18.  yuanj's RS   [large] 0 0 0 1  71.87 
 (22.83) 
 [-0.068] 
46.02
(17)
[0.077]
13.96
(21)
[-0.328]
30.01
(36)
[1.320]
12.01
(19)
[-0.519]
11.77
(18)
[-0.538]
35.11
(23)
[0.051]
29.91
(16)
[-0.534]
58.75
(21)
[0.019]
68.89
(20)
[0.134]
69.30
(29)
[-0.308]
31.11
(20)
[-0.123]
8.63
(33)
[0.735]
65.87
(23)
[-0.021]
55.52
(23)
[0.001]
10.96
(37)
[1.179]
67.35
(24)
[-0.046]
11.23
(16)
[-0.498]
7.70
(19)
[-0.464]
40.64
(20)
[-0.004]
37.11
(20)
[0.056]
68.89
(20)
[0.002]
63.92
(19)
[0.097]
62.40
(20)
[-0.029]
18.52
(19)
[-0.186]
66.67
(25)
[-0.202]
7.96
(19)
[-0.237]
25.08
(27)
[0.074]
61.66
(29)
[-0.400]
23.67
(36)
[1.090]
56.50
(21)
[-0.090]
55.50
(18)
[0.061]
68.10
(19)
[0.078]
70.97
(19)
[0.155]
65.41
(26)
[-0.343]
84.01
(12)
[0.753]
13.09
(38)
[1.304]
 19.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  73.30 
 (19.17) 
 [0.157] 
43.22
(18)
[-0.033]
49.27
(34)
[1.328]
16.55
(29)
[0.287]
10.30
(17)
[-0.584]
12.56
(19)
[-0.508]
21.99
(16)
[-0.478]
87.38
(31)
[1.122]
64.51
(17)
[0.281]
71.00
(18)
[0.233]
90.14
(14)
[0.650]
29.00
(18)
[-0.223]
3.79
(22)
[-0.305]
73.90
(17)
[0.360]
64.47
(16)
[0.343]
4.55
(15)
[-0.464]
76.51
(17)
[0.399]
15.32
(22)
[-0.196]
7.98
(21)
[-0.442]
40.43
(19)
[-0.016]
33.09
(18)
[-0.177]
71.00
(18)
[0.132]
61.68
(21)
[-0.026]
67.03
(18)
[0.233]
16.87
(17)
[-0.328]
76.79
(14)
[0.470]
8.38
(20)
[-0.150]
16.76
(13)
[-0.522]
72.32
(19)
[0.235]
13.51
(18)
[-0.153]
61.60
(17)
[0.158]
55.09
(19)
[0.039]
69.68
(17)
[0.172]
71.15
(18)
[0.166]
77.54
(17)
[0.341]
67.86
(24)
[-0.098]
9.08
(22)
[0.215]
 20.  xaos's AR3D+EM 1.0  [normal] 0 0 0 0  69.54 
 (21.86) 
 [-0.028] 
37.42
(23)
[-0.261]
59.53
(37)
[1.809]
8.86
(20)
[-0.302]
12.54
(20)
[-0.499]
13.14
(20)
[-0.486]
34.32
(22)
[0.020]
100.00
(36)
[1.486]
59.46
(20)
[0.051]
64.81
(23)
[-0.059]
91.79
(10)
[0.726]
35.19
(23)
[0.071]
3.39
(19)
[-0.390]
69.60
(20)
[0.156]
58.89
(20)
[0.130]
4.88
(17)
[-0.378]
73.15
(19)
[0.236]
12.13
(20)
[-0.431]
6.70
(14)
[-0.546]
47.22
(25)
[0.360]
41.79
(25)
[0.327]
64.81
(23)
[-0.250]
54.85
(26)
[-0.402]
61.34
(22)
[-0.089]
19.76
(23)
[-0.079]
72.15
(20)
[0.162]
9.84
(26)
[0.151]
18.31
(17)
[-0.411]
69.70
(21)
[0.079]
15.43
(22)
[0.082]
55.99
(22)
[-0.114]
49.12
(24)
[-0.272]
64.44
(23)
[-0.141]
67.22
(23)
[-0.081]
78.72
(16)
[0.407]
61.85
(26)
[-0.414]
8.65
(20)
[0.097]
 21.  felipecalderero's GSRM unsup. KL area-weighted  [normal] 0 0 0 0  77.65 
 (16.94) 
 [0.364] 
54.05
(15)
[0.393]
15.88
(25)
[-0.238]
14.45
(28)
[0.127]
13.62
(21)
[-0.458]
14.03
(21)
[-0.452]
23.44
(17)
[-0.419]
26.47
(14)
[-0.633]
66.75
(15)
[0.382]
73.67
(16)
[0.360]
81.41
(21)
[0.249]
26.33
(16)
[-0.351]
3.35
(18)
[-0.399]
73.14
(18)
[0.324]
65.75
(15)
[0.392]
6.76
(24)
[0.102]
75.09
(18)
[0.330]
8.88
(12)
[-0.671]
5.98
(11)
[-0.605]
33.93
(14)
[-0.376]
31.03
(15)
[-0.297]
73.67
(16)
[0.297]
68.93
(14)
[0.373]
69.15
(15)
[0.353]
15.95
(15)
[-0.407]
74.85
(18)
[0.341]
6.93
(16)
[-0.451]
17.65
(15)
[-0.458]
78.09
(15)
[0.580]
12.36
(17)
[-0.294]
64.94
(16)
[0.320]
60.71
(15)
[0.333]
71.13
(16)
[0.259]
73.53
(16)
[0.317]
76.97
(18)
[0.308]
76.81
(21)
[0.374]
6.29
(13)
[-0.545]
 22.  xaos's GMRF+EM 2.0  [normal] 0 0 0 0  68.15 
 (23.44) 
 [-0.109] 
31.93
(24)
[-0.477]
53.27
(36)
[1.516]
11.24
(25)
[-0.119]
14.97
(22)
[-0.407]
16.91
(22)
[-0.342]
33.61
(21)
[-0.009]
100.00
(36)
[1.486]
57.91
(22)
[-0.019]
63.51
(26)
[-0.121]
89.26
(15)
[0.609]
36.49
(26)
[0.134]
3.14
(16)
[-0.445]
68.41
(21)
[0.100]
57.42
(21)
[0.073]
4.86
(16)
[-0.384]
71.80
(20)
[0.170]
16.04
(23)
[-0.142]
7.31
(16)
[-0.496]
48.88
(26)
[0.452]
40.15
(24)
[0.232]
63.51
(26)
[-0.330]
53.52
(28)
[-0.475]
59.43
(23)
[-0.197]
20.63
(24)
[-0.005]
70.55
(21)
[0.056]
10.20
(27)
[0.225]
19.02
(19)
[-0.360]
69.24
(22)
[0.052]
15.27
(21)
[0.062]
53.30
(25)
[-0.244]
46.11
(27)
[-0.429]
61.88
(26)
[-0.294]
64.08
(26)
[-0.279]
75.46
(21)
[0.223]
57.53
(27)
[-0.642]
9.46
(23)
[0.316]
 23.  connetwork12's conn col-blur3  [normal] CL 1 0 0 0  85.80 
 (10.94) 
 [0.820] 
72.93
(7)
[1.136]
1.73
(6)
[-0.902]
2.74
(10)
[-0.771]
18.89
(23)
[-0.258]
18.74
(23)
[-0.272]
9.21
(8)
[-0.993]
9.78
(7)
[-1.114]
80.08
(8)
[0.988]
87.78
(6)
[1.027]
89.19
(16)
[0.606]
12.22
(6)
[-1.024]
2.59
(15)
[-0.564]
87.40
(7)
[1.002]
81.67
(8)
[1.000]
3.15
(8)
[-0.823]
87.92
(7)
[0.953]
16.64
(25)
[-0.098]
12.55
(29)
[-0.069]
22.57
(8)
[-1.004]
18.48
(8)
[-1.024]
88.02
(5)
[1.182]
81.18
(8)
[1.047]
80.76
(8)
[1.011]
10.90
(10)
[-0.841]
84.92
(8)
[1.009]
5.75
(12)
[-0.694]
19.43
(21)
[-0.331]
78.64
(12)
[0.612]
6.78
(8)
[-0.976]
79.07
(8)
[1.005]
72.50
(8)
[0.948]
83.47
(8)
[0.997]
83.50
(8)
[0.946]
82.47
(14)
[0.618]
84.60
(10)
[0.784]
5.03
(11)
[-0.889]
 24.  test's EGBIS   [normal] 0 0 0 0  66.03 
 (26.56) 
 [-0.310] 
28.78
(28)
[-0.601]
19.69
(29)
[-0.060]
39.15
(38)
[2.021]
20.42
(24)
[-0.200]
21.54
(24)
[-0.165]
44.35
(29)
[0.424]
82.87
(29)
[0.992]
51.10
(27)
[-0.329]
64.12
(25)
[-0.092]
72.73
(28)
[-0.151]
35.88
(25)
[0.104]
7.59
(31)
[0.511]
59.88
(26)
[-0.306]
49.03
(27)
[-0.247]
8.38
(29)
[0.517]
63.11
(26)
[-0.252]
16.64
(24)
[-0.098]
8.97
(23)
[-0.361]
46.67
(24)
[0.330]
39.00
(22)
[0.165]
64.12
(25)
[-0.292]
58.75
(23)
[-0.187]
56.28
(27)
[-0.376]
21.29
(25)
[0.052]
62.16
(27)
[-0.501]
8.58
(23)
[-0.110]
21.24
(24)
[-0.201]
66.50
(25)
[-0.112]
19.72
(30)
[0.607]
49.98
(28)
[-0.405]
46.39
(25)
[-0.415]
62.19
(25)
[-0.276]
64.19
(25)
[-0.272]
55.71
(30)
[-0.889]
76.97
(19)
[0.382]
13.05
(37)
[1.295]
 25.  rohit.iiith's Graph based Segmentation   [normal] 0 0 0 1  71.66 
 (22.14) 
 [0.006] 
40.32
(20)
[-0.147]
14.75
(22)
[-0.291]
24.05
(33)
[0.863]
26.74
(25)
[0.040]
24.43
(25)
[-0.055]
25.10
(19)
[-0.352]
45.01
(23)
[-0.099]
57.45
(23)
[-0.040]
69.00
(19)
[0.139]
74.51
(25)
[-0.069]
31.00
(19)
[-0.128]
7.58
(30)
[0.511]
65.86
(24)
[-0.022]
55.81
(22)
[0.012]
8.90
(31)
[0.651]
68.46
(23)
[0.008]
17.54
(28)
[-0.032]
8.99
(24)
[-0.359]
40.34
(18)
[-0.021]
31.79
(16)
[-0.253]
69.00
(19)
[0.009]
64.12
(18)
[0.108]
61.80
(21)
[-0.063]
18.83
(20)
[-0.159]
69.96
(22)
[0.017]
7.27
(18)
[-0.380]
21.14
(22)
[-0.208]
71.82
(20)
[0.206]
16.27
(24)
[0.184]
57.53
(20)
[-0.040]
53.34
(20)
[-0.052]
68.06
(20)
[0.075]
69.35
(20)
[0.053]
61.84
(27)
[-0.544]
79.58
(18)
[0.520]
8.43
(19)
[0.037]
 26.  test's HGS  [normal] 0 0 0 0  65.01 
 (28.53) 
 [-0.463] 
29.81
(26)
[-0.560]
10.69
(16)
[-0.482]
33.76
(37)
[1.607]
26.89
(26)
[0.046]
25.04
(26)
[-0.032]
48.94
(32)
[0.609]
32.39
(18)
[-0.463]
49.60
(28)
[-0.397]
63.37
(27)
[-0.127]
66.09
(31)
[-0.456]
36.63
(27)
[0.140]
13.51
(37)
[1.785]
58.74
(29)
[-0.360]
46.63
(28)
[-0.339]
13.31
(38)
[1.783]
61.17
(30)
[-0.346]
16.75
(26)
[-0.090]
10.46
(25)
[-0.239]
49.80
(28)
[0.502]
43.51
(28)
[0.427]
63.37
(27)
[-0.338]
57.52
(24)
[-0.255]
53.33
(29)
[-0.543]
22.90
(27)
[0.190]
58.60
(31)
[-0.736]
9.46
(25)
[0.073]
30.28
(31)
[0.445]
57.28
(32)
[-0.662]
27.95
(38)
[1.612]
41.52
(31)
[-0.816]
43.98
(29)
[-0.540]
58.92
(29)
[-0.471]
62.21
(28)
[-0.398]
50.58
(35)
[-1.179]
81.27
(16)
[0.609]
11.42
(32)
[0.852]
 27.  test's HGS  [normal] 0 0 0 0  60.24 
 (31.36) 
 [-0.856] 
27.57
(29)
[-0.649]
8.63
(14)
[-0.578]
45.82
(39)
[2.532]
27.22
(28)
[0.058]
26.54
(27)
[0.026]
53.84
(33)
[0.807]
35.44
(19)
[-0.375]
43.74
(32)
[-0.663]
58.05
(30)
[-0.379]
56.48
(35)
[-0.898]
41.95
(30)
[0.394]
19.99
(40)
[3.180]
51.11
(32)
[-0.723]
37.41
(32)
[-0.691]
19.29
(40)
[3.315]
53.33
(33)
[-0.727]
17.20
(27)
[-0.056]
13.62
(30)
[0.018]
53.08
(31)
[0.684]
49.49
(34)
[0.774]
58.05
(32)
[-0.667]
54.07
(27)
[-0.445]
48.87
(31)
[-0.796]
27.12
(30)
[0.553]
53.36
(34)
[-1.084]
14.08
(34)
[1.027]
34.51
(33)
[0.748]
51.59
(35)
[-1.001]
35.99
(40)
[2.595]
36.13
(34)
[-1.077]
40.54
(30)
[-0.720]
54.16
(32)
[-0.755]
58.24
(30)
[-0.648]
44.09
(37)
[-1.544]
82.17
(15)
[0.656]
16.69
(40)
[2.286]
 28.  xiaofang's sas originial  [normal] 0 0 0 0  76.67 
 (18.50) 
 [0.296] 
41.42
(19)
[-0.104]
15.04
(23)
[-0.278]
12.48
(27)
[-0.024]
27.64
(29)
[0.074]
26.92
(28)
[0.040]
17.80
(13)
[-0.646]
15.13
(10)
[-0.960]
66.53
(16)
[0.372]
75.75
(14)
[0.458]
82.19
(20)
[0.284]
24.25
(14)
[-0.450]
4.17
(24)
[-0.223]
76.10
(15)
[0.465]
63.63
(18)
[0.311]
6.72
(23)
[0.093]
77.48
(15)
[0.446]
20.47
(32)
[0.185]
11.25
(26)
[-0.175]
35.25
(16)
[-0.302]
26.03
(13)
[-0.587]
75.75
(14)
[0.425]
68.47
(15)
[0.348]
68.43
(16)
[0.312]
17.13
(18)
[-0.306]
75.42
(17)
[0.379]
6.47
(13)
[-0.546]
21.84
(26)
[-0.158]
76.07
(16)
[0.459]
11.22
(15)
[-0.434]
66.22
(15)
[0.382]
59.42
(16)
[0.265]
73.37
(15)
[0.393]
73.72
(15)
[0.329]
74.33
(22)
[0.160]
73.83
(22)
[0.217]
8.02
(16)
[-0.075]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.06
±25.42
OS
20.96
±21.32
US
12.80
±13.04
ME
25.69
±26.36
criterion 'NE' (noise error) in ascending orderNE
25.87
±26.21
O
33.83
±24.81
C
48.44
±34.70
CA
58.34
±22.00
CO
66.06
±21.15
CC
76.01
±21.75
I
33.69
±20.97
II
5.21
±4.65
EA
66.32
±21.03
MS
55.50
±26.18
RM
6.36
±3.90
CI
68.30
±20.59
GCE
17.97
±13.54
LCE
13.39
±12.26
BCE
40.72
±18.07
GBCE
36.15
±17.25
BGM
68.86
±16.21
SC
62.15
±18.17
SSC
62.91
±17.65
VD
20.69
±11.64
L
69.70
±15.07
AVI
9.11
±4.84
NVI
24.05
±13.98
NMI
68.37
±16.76
M
14.76
±8.18
ARI
58.35
±20.63
JC
54.34
±19.16
DC
66.80
±16.73
FMI
68.51
±15.86
WI
71.50
±17.74
WII
69.71
±18.98
NBDE
8.29
±3.67
 29.  LiRa's ==   [normal] CL 1 0 0 0  52.37 
 (28.14) 
 [-0.792] 
29.72
(27)
[-0.564]
41.22
(32)
[0.950]
6.48
(18)
[-0.485]
27.12
(27)
[0.054]
29.19
(29)
[0.127]
100.00
(40)
[2.667]
100.00
(36)
[1.486]
0.00
(40)
[-2.652]
0.00
(40)
[-3.124]
0.00
(40)
[-3.495]
100.00
(40)
[3.162]
0.00
(1)
[-1.120]
0.00
(40)
[-3.154]
0.00
(39)
[-2.120]
0.00
(1)
[-1.631]
0.00
(40)
[-3.316]
19.97
(30)
[0.148]
13.74
(31)
[0.028]
49.53
(27)
[0.488]
43.31
(27)
[0.415]
63.33
(28)
[-0.341]
53.12
(29)
[-0.497]
58.28
(25)
[-0.262]
23.19
(28)
[0.215]
68.16
(23)
[-0.102]
11.10
(29)
[0.411]
21.46
(25)
[-0.186]
66.55
(24)
[-0.109]
13.59
(19)
[-0.144]
54.00
(24)
[-0.211]
46.16
(26)
[-0.427]
61.71
(27)
[-0.304]
63.43
(27)
[-0.320]
76.51
(19)
[0.283]
54.02
(31)
[-0.827]
9.72
(24)
[0.389]
 30.  ales.hejl's ed_ah  [normal] 0 0 0 0  55.83 
 (29.83) 
 [-0.773] 
17.54
(34)
[-1.043]
52.99
(35)
[1.503]
0.00
(1)
[-0.981]
30.29
(30)
[0.175]
34.59
(30)
[0.333]
64.37
(36)
[1.231]
100.00
(36)
[1.486]
38.26
(33)
[-0.913]
40.46
(36)
[-1.211]
92.77
(8)
[0.771]
59.54
(36)
[1.233]
1.28
(7)
[-0.845]
48.85
(33)
[-0.831]
37.89
(31)
[-0.672]
3.74
(11)
[-0.671]
55.96
(32)
[-0.599]
13.12
(21)
[-0.358]
11.91
(28)
[-0.121]
69.24
(37)
[1.579]
68.03
(38)
[1.849]
40.46
(38)
[-1.752]
31.85
(37)
[-1.668]
38.40
(36)
[-1.388]
34.18
(34)
[1.160]
51.81
(35)
[-1.187]
17.88
(37)
[1.813]
25.68
(28)
[0.117]
60.66
(30)
[-0.460]
16.10
(23)
[0.164]
35.27
(35)
[-1.119]
28.30
(36)
[-1.359]
41.55
(36)
[-1.509]
48.37
(35)
[-1.270]
85.00
(12)
[0.761]
30.21
(39)
[-2.081]
10.65
(30)
[0.643]
 31.  test's JSEG   [normal] 0 0 0 0  65.97 
 (26.11) 
 [-0.226] 
27.47
(30)
[-0.653]
38.62
(31)
[0.828]
5.04
(13)
[-0.595]
35.00
(31)
[0.353]
35.50
(31)
[0.367]
37.94
(24)
[0.166]
92.77
(32)
[1.278]
55.29
(24)
[-0.139]
61.81
(28)
[-0.201]
87.70
(18)
[0.538]
38.19
(28)
[0.214]
3.66
(20)
[-0.333]
66.74
(22)
[0.020]
55.14
(24)
[-0.014]
4.96
(19)
[-0.360]
70.27
(22)
[0.096]
18.45
(29)
[0.036]
11.64
(27)
[-0.143]
50.79
(29)
[0.558]
43.98
(29)
[0.454]
61.81
(30)
[-0.435]
51.94
(30)
[-0.562]
56.24
(28)
[-0.378]
23.38
(29)
[0.231]
66.85
(24)
[-0.189]
10.68
(28)
[0.325]
21.23
(23)
[-0.202]
67.54
(23)
[-0.049]
15.19
(20)
[0.052]
50.96
(27)
[-0.358]
44.46
(28)
[-0.516]
59.81
(28)
[-0.417]
61.42
(29)
[-0.447]
72.27
(25)
[0.044]
54.02
(32)
[-0.827]
9.82
(25)
[0.416]
 32.  xiaofang's weighted_color_patch   [normal] 0 0 0 0  68.23 
 (25.06) 
 [-0.199] 
30.92
(25)
[-0.517]
4.12
(9)
[-0.790]
26.67
(34)
[1.064]
37.40
(32)
[0.444]
35.72
(32)
[0.376]
41.32
(26)
[0.302]
28.70
(15)
[-0.569]
53.55
(25)
[-0.217]
67.49
(21)
[0.067]
63.39
(32)
[-0.580]
32.51
(21)
[-0.056]
6.60
(26)
[0.300]
62.69
(25)
[-0.173]
51.23
(25)
[-0.163]
9.34
(34)
[0.765]
64.00
(25)
[-0.209]
20.29
(31)
[0.171]
14.82
(32)
[0.116]
43.88
(21)
[0.175]
38.42
(21)
[0.132]
67.49
(21)
[-0.085]
61.93
(20)
[-0.012]
58.22
(26)
[-0.266]
22.27
(26)
[0.136]
60.97
(29)
[-0.580]
8.50
(22)
[-0.125]
28.31
(30)
[0.304]
65.70
(26)
[-0.159]
16.83
(25)
[0.253]
54.93
(23)
[-0.166]
50.40
(22)
[-0.205]
65.57
(22)
[-0.073]
66.85
(24)
[-0.105]
59.53
(28)
[-0.674]
76.91
(20)
[0.379]
9.89
(26)
[0.435]
 33.  test's Blobworld   [normal] 0 0 0 0  59.72 
 (30.61) 
 [-0.650] 
21.01
(32)
[-0.906]
7.33
(11)
[-0.639]
9.30
(21)
[-0.268]
59.55
(33)
[1.285]
61.68
(33)
[1.366]
41.45
(27)
[0.307]
58.94
(26)
[0.303]
46.23
(30)
[-0.550]
56.04
(32)
[-0.474]
73.62
(26)
[-0.110]
43.96
(33)
[0.490]
6.72
(27)
[0.325]
58.37
(30)
[-0.378]
40.36
(29)
[-0.578]
7.96
(27)
[0.409]
61.31
(29)
[-0.339]
31.16
(33)
[0.975]
23.19
(33)
[0.799]
56.72
(35)
[0.886]
48.75
(33)
[0.731]
56.04
(34)
[-0.790]
45.75
(34)
[-0.903]
48.66
(33)
[-0.807]
31.11
(32)
[0.896]
61.54
(28)
[-0.542]
12.33
(31)
[0.666]
32.70
(32)
[0.618]
57.36
(31)
[-0.657]
20.03
(32)
[0.644]
39.74
(32)
[-0.902]
36.22
(34)
[-0.946]
51.87
(34)
[-0.892]
52.90
(33)
[-0.985]
55.64
(31)
[-0.894]
52.32
(35)
[-0.916]
12.18
(36)
[1.057]
 34.  veselj38's Histogram ratio features 1.21  [normal] CL 1 0 0 0  48.48 
 (32.39) 
 [-1.172] 
20.64
(33)
[-0.921]
8.84
(15)
[-0.568]
5.46
(14)
[-0.563]
62.70
(34)
[1.404]
62.78
(34)
[1.408]
95.42
(39)
[2.483]
94.85
(33)
[1.338]
9.45
(39)
[-2.222]
13.85
(39)
[-2.469]
17.65
(39)
[-2.683]
86.15
(39)
[2.501]
13.72
(38)
[1.831]
13.61
(39)
[-2.506]
-19.75
(40)
[-2.875]
10.26
(35)
[1.001]
14.53
(39)
[-2.611]
37.36
(34)
[1.433]
28.64
(34)
[1.244]
52.75
(30)
[0.666]
44.03
(30)
[0.457]
62.26
(29)
[-0.407]
50.86
(31)
[-0.622]
51.47
(30)
[-0.649]
30.55
(31)
[0.848]
60.33
(30)
[-0.622]
12.01
(30)
[0.600]
40.10
(34)
[1.148]
56.09
(33)
[-0.733]
17.96
(28)
[0.392]
44.52
(29)
[-0.670]
39.60
(32)
[-0.769]
55.83
(30)
[-0.655]
56.19
(31)
[-0.777]
57.90
(29)
[-0.766]
55.22
(29)
[-0.764]
11.44
(33)
[0.857]
 35.  kamenluk's kamenluk test  [normal] 0 0 0 0  59.94 
 (29.72) 
 [-0.661] 
21.74
(31)
[-0.878]
8.14
(13)
[-0.601]
2.07
(9)
[-0.823]
67.75
(35)
[1.596]
65.81
(35)
[1.524]
40.75
(25)
[0.279]
40.94
(21)
[-0.216]
47.30
(29)
[-0.502]
59.89
(29)
[-0.292]
67.76
(30)
[-0.379]
40.11
(29)
[0.306]
7.20
(29)
[0.430]
59.69
(27)
[-0.315]
39.86
(30)
[-0.597]
8.99
(32)
[0.675]
61.64
(27)
[-0.323]
39.70
(35)
[1.605]
30.66
(35)
[1.408]
54.15
(32)
[0.744]
45.11
(31)
[0.520]
59.89
(31)
[-0.553]
49.53
(32)
[-0.695]
48.70
(32)
[-0.805]
33.50
(33)
[1.101]
57.31
(32)
[-0.822]
12.57
(32)
[0.715]
42.33
(35)
[1.308]
53.02
(34)
[-0.916]
19.50
(29)
[0.579]
42.13
(30)
[-0.786]
39.76
(31)
[-0.761]
54.66
(31)
[-0.726]
54.92
(32)
[-0.857]
54.52
(33)
[-0.956]
55.84
(28)
[-0.731]
11.02
(31)
[0.742]
 36.  pavelm10's base   [large] 0 0 0 0  57.57 
 (31.56) 
 [-0.786] 
15.03
(35)
[-1.142]
7.45
(12)
[-0.634]
5.73
(15)
[-0.542]
71.45
(36)
[1.736]
70.33
(36)
[1.697]
42.80
(28)
[0.362]
43.04
(22)
[-0.155]
44.01
(31)
[-0.651]
57.43
(31)
[-0.408]
63.10
(33)
[-0.593]
42.57
(31)
[0.423]
8.47
(32)
[0.701]
57.00
(31)
[-0.443]
36.17
(33)
[-0.738]
8.11
(28)
[0.449]
58.55
(31)
[-0.473]
41.99
(36)
[1.775]
33.47
(36)
[1.637]
56.18
(34)
[0.856]
47.66
(32)
[0.668]
57.43
(33)
[-0.705]
46.82
(33)
[-0.844]
46.31
(34)
[-0.941]
35.13
(35)
[1.241]
56.79
(33)
[-0.857]
13.15
(33)
[0.834]
44.70
(36)
[1.477]
51.24
(36)
[-1.022]
19.90
(31)
[0.628]
39.36
(33)
[-0.921]
36.47
(33)
[-0.932]
52.04
(33)
[-0.882]
52.32
(34)
[-1.021]
51.41
(34)
[-1.132]
53.79
(33)
[-0.839]
10.55
(29)
[0.615]
 37.  eldeeqq's Test 0.1  [normal] 1 0 0 0  51.09 
 (33.58) 
 [-1.138] 
8.67
(38)
[-1.392]
0.80
(4)
[-0.946]
0.00
(1)
[-0.981]
78.33
(37)
[1.997]
78.75
(37)
[2.018]
47.95
(31)
[0.569]
46.67
(24)
[-0.051]
32.97
(35)
[-1.153]
46.72
(34)
[-0.915]
48.37
(37)
[-1.271]
43.28
(32)
[0.457]
9.98
(35)
[1.027]
45.29
(35)
[-1.000]
25.43
(36)
[-1.149]
7.08
(25)
[0.184]
46.37
(37)
[-1.065]
44.75
(38)
[1.978]
38.35
(37)
[2.036]
56.00
(33)
[0.846]
49.60
(35)
[0.780]
46.72
(36)
[-1.366]
36.92
(36)
[-1.389]
35.04
(37)
[-1.579]
36.38
(37)
[1.349]
44.04
(39)
[-1.703]
14.08
(35)
[1.027]
48.85
(37)
[1.774]
36.29
(39)
[-1.914]
21.01
(33)
[0.764]
27.37
(38)
[-1.502]
27.06
(37)
[-1.424]
41.12
(37)
[-1.535]
41.32
(38)
[-1.715]
38.20
(39)
[-1.876]
44.84
(36)
[-1.311]
11.50
(34)
[0.872]
 38.  py's CGCHI   [large] 0 0 0 0  51.34 
 (33.78) 
 [-1.146] 
10.94
(37)
[-1.303]
2.19
(8)
[-0.880]
3.96
(12)
[-0.678]
81.91
(38)
[2.133]
81.39
(38)
[2.118]
59.33
(34)
[1.028]
51.77
(25)
[0.096]
35.62
(34)
[-1.033]
50.50
(33)
[-0.736]
49.27
(36)
[-1.229]
49.50
(34)
[0.754]
10.69
(36)
[1.179]
47.04
(34)
[-0.917]
26.89
(35)
[-1.093]
10.28
(36)
[1.006]
48.39
(35)
[-0.967]
42.35
(37)
[1.801]
38.59
(38)
[2.055]
62.15
(36)
[1.186]
58.39
(36)
[1.290]
50.50
(35)
[-1.133]
41.93
(35)
[-1.113]
39.53
(35)
[-1.325]
40.15
(38)
[1.672]
48.15
(36)
[-1.430]
15.31
(36)
[1.281]
50.16
(38)
[1.867]
39.47
(37)
[-1.725]
25.32
(37)
[1.291]
30.89
(36)
[-1.331]
31.50
(35)
[-1.192]
46.39
(35)
[-1.220]
47.54
(36)
[-1.322]
43.30
(38)
[-1.589]
54.28
(30)
[-0.813]
10.44
(27)
[0.585]
 39.  mahelpet's noname   [normal] 1 0 0 0  39.59 
 (37.31) 
 [-1.892] 
3.83
(40)
[-1.583]
0.00
(1)
[-0.983]
12.17
(26)
[-0.048]
85.20
(39)
[2.258]
85.02
(39)
[2.257]
78.47
(38)
[1.800]
72.17
(28)
[0.684]
21.29
(38)
[-1.684]
36.59
(37)
[-1.394]
34.58
(38)
[-1.905]
63.41
(37)
[1.417]
15.70
(39)
[2.255]
31.91
(38)
[-1.636]
4.88
(38)
[-1.934]
14.13
(39)
[1.993]
33.63
(38)
[-1.683]
53.56
(40)
[2.629]
49.11
(40)
[2.914]
75.05
(39)
[1.900]
70.61
(39)
[1.998]
36.59
(39)
[-1.991]
28.80
(39)
[-1.836]
26.36
(40)
[-2.071]
50.56
(40)
[2.567]
34.75
(40)
[-2.320]
20.67
(40)
[2.390]
68.12
(40)
[3.152]
15.50
(40)
[-3.154]
34.56
(39)
[2.420]
12.57
(40)
[-2.219]
21.60
(40)
[-1.709]
34.65
(39)
[-1.921]
35.98
(40)
[-2.052]
30.24
(40)
[-2.325]
44.75
(37)
[-1.315]
14.79
(39)
[1.769]
 40.  siddharth's My algo1 0.1  [normal] 0 0 0 0  46.12 
 (35.03) 
 [-1.426] 
6.21
(39)
[-1.489]
4.72
(10)
[-0.762]
1.24
(6)
[-0.886]
86.25
(40)
[2.297]
86.52
(40)
[2.314]
59.41
(35)
[1.031]
70.16
(27)
[0.626]
31.76
(36)
[-1.208]
40.60
(35)
[-1.204]
61.24
(34)
[-0.679]
59.41
(35)
[1.226]
7.01
(28)
[0.388]
45.21
(36)
[-1.004]
20.36
(37)
[-1.342]
9.33
(33)
[0.762]
47.85
(36)
[-0.993]
51.10
(39)
[2.447]
46.25
(39)
[2.680]
70.95
(38)
[1.673]
66.10
(37)
[1.737]
40.60
(37)
[-1.743]
30.85
(38)
[-1.723]
32.95
(38)
[-1.698]
47.91
(39)
[2.340]
45.58
(37)
[-1.601]
19.24
(38)
[2.093]
54.43
(39)
[2.173]
36.40
(38)
[-1.907]
22.77
(34)
[0.980]
22.97
(39)
[-1.715]
22.58
(38)
[-1.657]
35.98
(38)
[-1.842]
37.05
(39)
[-1.984]
45.58
(36)
[-1.461]
30.81
(38)
[-2.049]
11.62
(35)
[0.904]