The Prague Texture Segmentation Datagenerator and Benchmark - Results
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Results are sorted by criterion 'L' (Larsen metric) 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)
? 0 1   f2 = hiearchy result (manual selection)
? 0 1   f3 = known number of regions
? 0 1   f4 = [reserved]
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Algorithm: Version:

   
Benchmark - Colour f1 f2 f3 f4 AVG
RANK
NORM		 CS
45.12
±32.12		 OS
3.98
±9.59		 US
4.61
±3.95		 ME
43.90
±28.40		 NE
43.82
±28.17		 O
43.80
±35.12		 C
41.54
±33.59		 CA
49.57
±32.52		 CO
58.05
±31.66		 CC
59.88
±31.25		 I
41.36
±31.54		 II
6.83
±5.43		 EA
56.31
±32.22		 MS
41.36
±41.49		 RM
7.27
±5.53		 CI
57.40
±31.89		 GCE
26.43
±14.37		 LCE
21.77
±12.87		 BCE
39.73
±21.43		 GBCE
35.06
±19.85		 BGM
70.90
±18.72		 SC
63.31
±20.99		 SSC
62.57
±21.72		 VD
22.82
±13.89		 criterion 'L' (Larsen metric) in descending orderL
68.60
±19.03		 AVI
9.75
±5.19		 NVI
31.52
±17.44		 NMI
61.97
±22.04		 M
15.23
±10.08		 ARI
56.97
±25.76		 JC
54.60
±23.49		 DC
66.63
±19.50		 FMI
67.25
±19.06		 WI
65.25
±21.48		 WII
70.60
±16.87		 NBDE
8.28
±4.28
 1.  huangyuan's EWT-FCNT   [normal] CL 1 0 0 0  98.43 
 (1.11) 
 [1.466] 		 98.45
(1)
[1.660]		 0.00
(1)
[-0.415]		 0.00
(1)
[-1.166]		 0.37
(2)
[-1.533]		 0.46
(2)
[-1.539]		 0.93
(1)
[-1.221]		 1.05
(1)
[-1.206]		 97.67
(1)
[1.479]		 98.78
(1)
[1.287]		 98.81
(1)
[1.246]		 1.22
(1)
[-1.273]		 0.25
(2)
[-1.212]		 98.76
(1)
[1.318]		 98.17
(1)
[1.369]		 0.24
(2)
[-1.270]		 98.78
(1)
[1.297]		 2.23
(1)
[-1.685]		 1.68
(1)
[-1.561]		 2.88
(1)
[-1.720]		 2.33
(1)
[-1.649]		 98.78
(1)
[1.489]		 97.69
(1)
[1.638]		 97.67
(1)
[1.616]		 1.21
(1)
[-1.556]		 97.86
(1)
[1.538]		 1.02
(1)
[-1.683]		 3.33
(1)
[-1.616]		 96.32
(1)
[1.559]		 0.74
(1)
[-1.437]		 97.61
(1)
[1.578]		 96.31
(1)
[1.775]		 98.09
(1)
[1.613]		 98.09
(1)
[1.618]		 98.14
(1)
[1.531]		 98.04
(1)
[1.626]		 0.60
(1)
[-1.794]
 2.  huangyuan's unet psp21ewt  [normal] CL 1 0 0 0  97.67 
 (2.25) 
 [1.424] 		 98.09
(2)
[1.649]		 1.70
(12)
[-0.237]		 0.00
(1)
[-1.166]		 0.37
(1)
[-1.533]		 0.09
(1)
[-1.552]		 1.57
(2)
[-1.202]		 1.82
(2)
[-1.183]		 96.52
(2)
[1.444]		 98.18
(2)
[1.268]		 98.01
(2)
[1.220]		 1.82
(2)
[-1.254]		 0.39
(3)
[-1.185]		 98.08
(2)
[1.296]		 97.27
(2)
[1.347]		 0.29
(3)
[-1.262]		 98.09
(2)
[1.276]		 3.20
(2)
[-1.617]		 2.70
(2)
[-1.482]		 3.95
(2)
[-1.670]		 3.44
(2)
[-1.593]		 98.18
(2)
[1.457]		 96.71
(2)
[1.591]		 96.55
(2)
[1.565]		 1.75
(2)
[-1.517]		 96.57
(2)
[1.470]		 1.48
(2)
[-1.593]		 4.90
(2)
[-1.526]		 94.58
(2)
[1.480]		 1.08
(2)
[-1.404]		 96.60
(2)
[1.539]		 94.77
(2)
[1.710]		 97.29
(2)
[1.572]		 97.29
(2)
[1.576]		 97.15
(2)
[1.485]		 97.44
(2)
[1.591]		 0.77
(2)
[-1.754]
 3.  v-andrearczyk's FCNT sup.  [normal] CL 1 0 1 0  95.98 
 (3.31) 
 [1.330] 		 96.01
(3)
[1.584]		 1.56
(11)
[-0.252]		 1.20
(4)
[-0.863]		 0.78
(3)
[-1.518]		 0.89
(3)
[-1.524]		 2.71
(3)
[-1.170]		 2.29
(3)
[-1.168]		 93.95
(3)
[1.365]		 96.73
(3)
[1.222]		 97.02
(3)
[1.188]		 3.27
(3)
[-1.208]		 0.68
(4)
[-1.133]		 96.68
(3)
[1.253]		 95.10
(3)
[1.295]		 0.86
(4)
[-1.159]		 96.77
(3)
[1.234]		 5.55
(3)
[-1.453]		 3.75
(3)
[-1.401]		 7.69
(3)
[-1.495]		 5.89
(3)
[-1.469]		 96.81
(3)
[1.384]		 94.16
(3)
[1.469]		 94.03
(3)
[1.449]		 3.06
(3)
[-1.423]		 94.69
(3)
[1.371]		 2.27
(3)
[-1.441]		 7.56
(3)
[-1.374]		 91.69
(3)
[1.348]		 1.96
(3)
[-1.317]		 93.84
(3)
[1.431]		 90.74
(3)
[1.538]		 95.10
(3)
[1.460]		 95.11
(3)
[1.461]		 94.77
(3)
[1.374]		 95.46
(3)
[1.474]		 1.32
(3)
[-1.626]
 4.  connetwork12's conn col-noblur  [normal] CL 1 0 0 0  90.41 
 (4.00) 
 [1.051] 		 84.57
(4)
[1.228]		 0.00
(1)
[-0.415]		 1.70
(5)
[-0.737]		 9.50
(4)
[-1.211]		 10.22
(4)
[-1.193]		 7.00
(4)
[-1.048]		 5.34
(4)
[-1.078]		 86.21
(4)
[1.127]		 92.02
(4)
[1.073]		 92.68
(4)
[1.050]		 7.98
(4)
[-1.059]		 1.70
(5)
[-0.944]		 91.72
(4)
[1.099]		 88.03
(4)
[1.125]		 2.08
(5)
[-0.938]		 92.02
(4)
[1.085]		 11.76
(4)
[-1.021]		 8.61
(4)
[-1.023]		 16.45
(4)
[-1.086]		 13.30
(4)
[-1.096]		 92.02
(4)
[1.128]		 86.73
(4)
[1.115]		 86.36
(4)
[1.096]		 7.50
(4)
[-1.103]		 88.77
(4)
[1.060]		 4.31
(4)
[-1.048]		 14.50
(4)
[-0.976]		 84.01
(4)
[1.000]		 4.69
(4)
[-1.046]		 85.54
(4)
[1.109]		 80.13
(4)
[1.086]		 88.56
(4)
[1.125]		 88.61
(4)
[1.120]		 87.65
(4)
[1.043]		 89.66
(4)
[1.130]		 3.86
(4)
[-1.032]
 5.  connetwork12's conn col-blur3  [normal] CL 1 0 0 0  85.80 
 (5.39) 
 [0.821] 		 72.93
(5)
[0.866]		 1.73
(13)
[-0.235]		 2.74
(9)
[-0.473]		 18.89
(5)
[-0.880]		 18.74
(5)
[-0.890]		 9.21
(5)
[-0.985]		 9.78
(5)
[-0.946]		 80.08
(5)
[0.938]		 87.78
(5)
[0.939]		 89.19
(5)
[0.938]		 12.22
(5)
[-0.924]		 2.59
(6)
[-0.782]		 87.40
(5)
[0.965]		 81.67
(5)
[0.971]		 3.15
(6)
[-0.745]		 87.92
(5)
[0.957]		 16.64
(5)
[-0.681]		 12.55
(5)
[-0.717]		 22.57
(5)
[-0.801]		 18.48
(5)
[-0.835]		 88.02
(5)
[0.914]		 81.18
(5)
[0.851]		 80.76
(5)
[0.838]		 10.90
(5)
[-0.858]		 84.92
(5)
[0.857]		 5.75
(5)
[-0.770]		 19.43
(5)
[-0.693]		 78.64
(5)
[0.756]		 6.78
(5)
[-0.839]		 79.07
(5)
[0.858]		 72.50
(5)
[0.762]		 83.47
(5)
[0.864]		 83.50
(5)
[0.852]		 82.47
(5)
[0.802]		 84.60
(5)
[0.830]		 5.03
(5)
[-0.760]
 6.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.28 
 (7.31) 
 [0.255] 		 46.11
(7)
[0.031]		 0.81
(9)
[-0.330]		 4.18
(10)
[-0.109]		 44.82
(8)
[0.032]		 45.29
(8)
[0.052]		 14.52
(6)
[-0.834]		 16.77
(6)
[-0.737]		 65.42
(7)
[0.487]		 76.19
(7)
[0.573]		 80.30
(6)
[0.653]		 23.81
(7)
[-0.557]		 4.82
(8)
[-0.371]		 75.40
(7)
[0.592]		 64.29
(7)
[0.553]		 6.43
(8)
[-0.151]		 76.69
(7)
[0.605]		 25.78
(8)
[-0.046]		 20.68
(8)
[-0.084]		 36.67
(7)
[-0.143]		 31.58
(7)
[-0.176]		 76.19
(7)
[0.282]		 66.99
(7)
[0.175]		 66.85
(7)
[0.197]		 20.35
(7)
[-0.178]		 76.15
(6)
[0.397]		 8.84
(7)
[-0.176]		 29.20
(8)
[-0.133]		 67.43
(7)
[0.248]		 13.25
(7)
[-0.197]		 60.58
(7)
[0.140]		 54.85
(7)
[0.011]		 69.05
(7)
[0.124]		 69.41
(7)
[0.113]		 68.59
(8)
[0.156]		 70.97
(7)
[0.022]		 9.62
(9)
[0.313]
 7.  hadacmar's CoOccurenceFeatures 1  [normal] CL 1 0 1 0  76.32 
 (6.25) 
 [0.389] 		 52.48
(6)
[0.229]		 0.00
(1)
[-0.415]		 1.94
(7)
[-0.676]		 41.55
(7)
[-0.083]		 40.97
(7)
[-0.101]		 20.74
(7)
[-0.657]		 22.10
(7)
[-0.579]		 67.01
(6)
[0.536]		 77.86
(6)
[0.626]		 78.34
(7)
[0.591]		 22.14
(6)
[-0.610]		 4.40
(7)
[-0.448]		 76.21
(6)
[0.617]		 66.79
(6)
[0.613]		 4.47
(7)
[-0.505]		 77.05
(6)
[0.616]		 23.93
(7)
[-0.174]		 19.69
(7)
[-0.161]		 33.50
(6)
[-0.291]		 29.26
(6)
[-0.292]		 79.35
(6)
[0.451]		 71.06
(6)
[0.369]		 69.71
(6)
[0.329]		 17.86
(6)
[-0.357]		 75.22
(7)
[0.348]		 8.41
(6)
[-0.257]		 27.51
(7)
[-0.230]		 68.94
(6)
[0.316]		 10.62
(6)
[-0.457]		 67.19
(6)
[0.397]		 60.90
(6)
[0.268]		 73.94
(6)
[0.375]		 74.22
(6)
[0.366]		 71.09
(7)
[0.272]		 77.92
(6)
[0.434]		 8.50
(7)
[0.052]
 8.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.49 
 (10.47) 
 [-0.499] 		 42.19
(8)
[-0.091]		 0.00
(1)
[-0.415]		 2.41
(8)
[-0.556]		 51.41
(9)
[0.265]		 51.41
(9)
[0.269]		 97.97
(16)
[1.543]		 98.38
(16)
[1.692]		 2.69
(16)
[-1.441]		 4.97
(16)
[-1.676]		 6.86
(16)
[-1.697]		 95.03
(16)
[1.702]		 15.57
(16)
[1.610]		 4.80
(16)
[-1.599]		 -34.39
(17)
[-1.826]		 12.79
(14)
[1.000]		 5.29
(16)
[-1.634]		 30.12
(9)
[0.257]		 23.82
(9)
[0.159]		 41.73
(8)
[0.093]		 35.43
(8)
[0.018]		 72.58
(9)
[0.090]		 62.64
(8)
[-0.032]		 62.66
(8)
[0.004]		 23.85
(9)
[0.074]		 70.30
(8)
[0.089]		 10.49
(8)
[0.143]		 33.98
(9)
[0.141]		 62.06
(9)
[0.004]		 14.07
(9)
[-0.115]		 56.97
(8)
[-0.000]		 51.54
(8)
[-0.130]		 65.80
(8)
[-0.042]		 66.11
(8)
[-0.060]		 65.48
(9)
[0.011]		 67.35
(9)
[-0.192]		 7.64
(6)
[-0.148]
 9.  borkojos's cooccurence&naive bayes   [normal] CL 1 0 1 0  69.38 
 (8.67) 
 [0.055] 		 39.12
(9)
[-0.187]		 0.00
(1)
[-0.415]		 1.92
(6)
[-0.680]		 54.14
(10)
[0.361]		 54.79
(10)
[0.389]		 26.75
(8)
[-0.485]		 29.46
(8)
[-0.360]		 59.27
(8)
[0.298]		 70.76
(8)
[0.401]		 75.10
(8)
[0.487]		 29.24
(8)
[-0.384]		 4.85
(9)
[-0.364]		 70.29
(8)
[0.434]		 56.14
(8)
[0.356]		 6.65
(9)
[-0.111]		 71.51
(8)
[0.442]		 32.19
(10)
[0.401]		 25.91
(10)
[0.321]		 42.77
(9)
[0.142]		 36.48
(9)
[0.071]		 72.83
(8)
[0.103]		 61.79
(9)
[-0.073]		 62.21
(9)
[-0.017]		 24.01
(10)
[0.086]		 69.08
(9)
[0.025]		 10.89
(9)
[0.220]		 35.76
(10)
[0.243]		 60.31
(10)
[-0.076]		 14.22
(10)
[-0.100]		 56.17
(9)
[-0.031]		 50.26
(9)
[-0.185]		 65.23
(9)
[-0.072]		 65.48
(9)
[-0.093]		 64.84
(10)
[-0.019]		 66.61
(10)
[-0.236]		 9.39
(8)
[0.258]
f1 f2 f3 f4 AVG
RANK
NORM		 CS
45.12
±32.12		 OS
3.98
±9.59		 US
4.61
±3.95		 ME
43.90
±28.40		 NE
43.82
±28.17		 O
43.80
±35.12		 C
41.54
±33.59		 CA
49.57
±32.52		 CO
58.05
±31.66		 CC
59.88
±31.25		 I
41.36
±31.54		 II
6.83
±5.43		 EA
56.31
±32.22		 MS
41.36
±41.49		 RM
7.27
±5.53		 CI
57.40
±31.89		 GCE
26.43
±14.37		 LCE
21.77
±12.87		 BCE
39.73
±21.43		 GBCE
35.06
±19.85		 BGM
70.90
±18.72		 SC
63.31
±20.99		 SSC
62.57
±21.72		 VD
22.82
±13.89		 criterion 'L' (Larsen metric) in descending orderL
68.60
±19.03		 AVI
9.75
±5.19		 NVI
31.52
±17.44		 NMI
61.97
±22.04		 M
15.23
±10.08		 ARI
56.97
±25.76		 JC
54.60
±23.49		 DC
66.63
±19.50		 FMI
67.25
±19.06		 WI
65.25
±21.48		 WII
70.60
±16.87		 NBDE
8.28
±4.28
 10.  LiRa's ==   [normal] CL 1 0 0 0  52.37 
 (10.75) 
 [-0.504] 		 29.72
(10)
[-0.480]		 41.22
(17)
[3.882]		 6.48
(12)
[0.473]		 27.12
(6)
[-0.591]		 29.19
(6)
[-0.519]		 100.00
(17)
[1.600]		 100.00
(17)
[1.741]		 0.00
(17)
[-1.524]		 0.00
(17)
[-1.833]		 0.00
(17)
[-1.916]		 100.00
(17)
[1.859]		 0.00
(1)
[-1.258]		 0.00
(17)
[-1.747]		 0.00
(15)
[-0.997]		 0.00
(1)
[-1.315]		 0.00
(17)
[-1.800]		 19.97
(6)
[-0.450]		 13.74
(6)
[-0.624]		 49.53
(10)
[0.458]		 43.31
(10)
[0.415]		 63.33
(10)
[-0.405]		 53.12
(10)
[-0.485]		 58.28
(10)
[-0.197]		 23.19
(8)
[0.027]		 68.16
(10)
[-0.023]		 11.10
(10)
[0.261]		 21.46
(6)
[-0.577]		 66.55
(8)
[0.208]		 13.59
(8)
[-0.163]		 54.00
(10)
[-0.115]		 46.16
(10)
[-0.360]		 61.71
(10)
[-0.252]		 63.43
(10)
[-0.200]		 76.51
(6)
[0.524]		 54.02
(15)
[-0.982]		 9.72
(10)
[0.337]
 11.  veselj38's Histogram ratio features 1.21  [normal] CL 1 0 0 0  48.48 
 (12.78) 
 [-0.774] 		 20.64
(13)
[-0.762]		 8.84
(16)
[0.507]		 5.46
(11)
[0.215]		 62.70
(13)
[0.662]		 62.78
(13)
[0.673]		 95.42
(15)
[1.470]		 94.85
(15)
[1.587]		 9.45
(15)
[-1.234]		 13.85
(15)
[-1.396]		 17.65
(15)
[-1.351]		 86.15
(15)
[1.420]		 13.72
(15)
[1.270]		 13.61
(15)
[-1.325]		 -19.75
(16)
[-1.473]		 10.26
(11)
[0.543]		 14.53
(15)
[-1.344]		 37.36
(13)
[0.761]		 28.64
(12)
[0.534]		 52.75
(11)
[0.608]		 44.03
(11)
[0.452]		 62.26
(11)
[-0.462]		 50.86
(13)
[-0.593]		 51.47
(11)
[-0.511]		 30.55
(11)
[0.557]		 60.33
(11)
[-0.435]		 12.01
(11)
[0.437]		 40.10
(11)
[0.492]		 56.09
(11)
[-0.267]		 17.96
(11)
[0.271]		 44.52
(11)
[-0.484]		 39.60
(12)
[-0.639]		 55.83
(11)
[-0.554]		 56.19
(12)
[-0.580]		 57.90
(11)
[-0.342]		 55.22
(14)
[-0.911]		 11.44
(13)
[0.739]
 12.  luptarad's laws masks & kNN 1.0  [normal] CL 1 0 1 0  57.44 
 (11.72) 
 [-0.518] 		 24.57
(12)
[-0.640]		 4.40
(14)
[0.044]		 9.46
(14)
[1.227]		 58.04
(11)
[0.498]		 55.34
(11)
[0.409]		 51.04
(10)
[0.206]		 47.53
(11)
[0.178]		 36.75
(9)
[-0.394]		 49.97
(10)
[-0.255]		 51.28
(10)
[-0.275]		 50.03
(11)
[0.275]		 7.75
(10)
[0.169]		 45.09
(11)
[-0.348]		 24.95
(11)
[-0.396]		 11.67
(12)
[0.797]		 47.24
(10)
[-0.319]		 33.82
(12)
[0.514]		 28.69
(13)
[0.537]		 54.77
(13)
[0.702]		 49.64
(14)
[0.734]		 59.71
(12)
[-0.598]		 51.67
(11)
[-0.555]		 48.01
(13)
[-0.671]		 31.26
(13)
[0.608]		 55.09
(12)
[-0.710]		 13.10
(13)
[0.646]		 43.21
(13)
[0.670]		 47.59
(13)
[-0.653]		 22.73
(13)
[0.744]		 41.16
(12)
[-0.614]		 39.98
(11)
[-0.623]		 54.99
(12)
[-0.597]		 56.46
(11)
[-0.566]		 49.53
(12)
[-0.732]		 66.56
(11)
[-0.239]		 10.40
(11)
[0.496]
 13.  leskajur's LFM + kNN   [normal] CL 1 0 1 0  55.02 
 (12.31) 
 [-0.617] 		 26.00
(11)
[-0.596]		 5.01
(15)
[0.108]		 9.42
(13)
[1.218]		 60.96
(12)
[0.601]		 59.65
(12)
[0.562]		 66.89
(12)
[0.658]		 60.33
(13)
[0.560]		 31.40
(12)
[-0.559]		 43.31
(12)
[-0.466]		 48.73
(12)
[-0.357]		 56.69
(12)
[0.486]		 11.45
(13)
[0.852]		 39.22
(12)
[-0.530]		 14.96
(12)
[-0.636]		 13.51
(15)
[1.129]		 41.76
(12)
[-0.490]		 33.27
(11)
[0.476]		 27.61
(11)
[0.454]		 54.71
(12)
[0.699]		 49.05
(12)
[0.704]		 59.22
(13)
[-0.624]		 50.90
(12)
[-0.591]		 48.17
(12)
[-0.663]		 30.99
(12)
[0.588]		 54.01
(13)
[-0.767]		 12.73
(12)
[0.575]		 41.80
(12)
[0.590]		 48.43
(12)
[-0.614]		 23.69
(14)
[0.839]		 39.50
(13)
[-0.678]		 39.26
(13)
[-0.653]		 54.30
(13)
[-0.632]		 55.74
(13)
[-0.604]		 47.16
(13)
[-0.842]		 67.36
(8)
[-0.192]		 10.97
(12)
[0.628]
 14.  guloleg's HOG 1  [normal] 1 0 1 0  53.15 
 (13.06) 
 [-0.754] 		 11.59
(15)
[-1.044]		 1.54
(10)
[-0.254]		 9.62
(15)
[1.267]		 76.51
(15)
[1.149]		 77.17
(15)
[1.184]		 51.11
(11)
[0.208]		 46.26
(9)
[0.141]		 35.67
(10)
[-0.428]		 52.72
(9)
[-0.168]		 49.37
(11)
[-0.337]		 47.28
(10)
[0.187]		 12.13
(14)
[0.976]		 47.43
(9)
[-0.276]		 29.09
(9)
[-0.296]		 12.53
(13)
[0.952]		 49.14
(9)
[-0.259]		 37.69
(15)
[0.783]		 32.92
(15)
[0.866]		 60.40
(15)
[0.965]		 55.62
(15)
[1.036]		 52.72
(14)
[-0.971]		 43.59
(14)
[-0.940]		 41.08
(14)
[-0.990]		 36.90
(15)
[1.014]		 50.46
(14)
[-0.953]		 13.59
(14)
[0.741]		 46.09
(14)
[0.835]		 42.23
(14)
[-0.896]		 27.03
(15)
[1.170]		 30.87
(14)
[-1.014]		 33.00
(14)
[-0.920]		 48.91
(14)
[-0.909]		 49.98
(14)
[-0.906]		 42.69
(14)
[-1.050]		 59.55
(13)
[-0.655]		 12.24
(15)
[0.926]
 15.  jirkujak's LBP 3,1  [normal] CL 1 0 1 0  48.96 
 (14.00) 
 [-0.928] 		 12.16
(14)
[-1.026]		 0.00
(1)
[-0.415]		 9.67
(16)
[1.281]		 75.55
(14)
[1.115]		 74.24
(14)
[1.080]		 72.24
(13)
[0.810]		 51.36
(12)
[0.293]		 26.31
(13)
[-0.715]		 40.38
(13)
[-0.558]		 51.72
(9)
[-0.261]		 59.62
(13)
[0.579]		 10.11
(12)
[0.605]		 35.36
(13)
[-0.650]		 10.56
(13)
[-0.742]		 17.37
(17)
[1.828]		 39.04
(13)
[-0.576]		 37.54
(14)
[0.773]		 31.64
(14)
[0.767]		 63.95
(16)
[1.131]		 58.04
(16)
[1.157]		 50.06
(15)
[-1.113]		 41.51
(15)
[-1.038]		 38.46
(15)
[-1.110]		 37.57
(16)
[1.063]		 45.85
(15)
[-1.196]		 14.95
(16)
[1.003]		 50.03
(16)
[1.061]		 36.86
(15)
[-1.139]		 30.94
(16)
[1.558]		 24.97
(16)
[-1.243]		 29.64
(15)
[-1.063]		 44.62
(15)
[-1.128]		 46.39
(15)
[-1.095]		 36.80
(16)
[-1.324]		 59.78
(12)
[-0.641]		 12.95
(16)
[1.092]
 16.  eldeeqq's Test 0.1  [normal] 1 0 0 0  51.09 
 (13.19) 
 [-0.764] 		 8.67
(16)
[-1.135]		 0.80
(8)
[-0.331]		 0.00
(1)
[-1.166]		 78.33
(16)
[1.213]		 78.75
(16)
[1.240]		 47.95
(9)
[0.118]		 46.67
(10)
[0.153]		 32.97
(11)
[-0.510]		 46.72
(11)
[-0.358]		 48.37
(13)
[-0.368]		 43.28
(9)
[0.061]		 9.98
(11)
[0.581]		 45.29
(10)
[-0.342]		 25.43
(10)
[-0.384]		 7.08
(10)
[-0.034]		 46.37
(11)
[-0.346]		 44.75
(16)
[1.275]		 38.35
(16)
[1.289]		 56.00
(14)
[0.759]		 49.60
(13)
[0.732]		 46.72
(16)
[-1.292]		 36.92
(16)
[-1.257]		 35.04
(16)
[-1.268]		 36.38
(14)
[0.977]		 44.04
(16)
[-1.291]		 14.08
(15)
[0.835]		 48.85
(15)
[0.994]		 36.29
(16)
[-1.165]		 21.01
(12)
[0.574]		 27.37
(15)
[-1.149]		 27.06
(16)
[-1.172]		 41.12
(16)
[-1.308]		 41.32
(16)
[-1.361]		 38.20
(15)
[-1.259]		 44.84
(16)
[-1.527]		 11.50
(14)
[0.752]
 17.  mahelpet's noname   [normal] 1 0 0 0  39.59 
 (15.78) 
 [-1.434] 		 3.83
(17)
[-1.286]		 0.00
(1)
[-0.415]		 12.17
(17)
[1.914]		 85.20
(17)
[1.455]		 85.02
(17)
[1.462]		 78.47
(14)
[0.987]		 72.17
(14)
[0.912]		 21.29
(14)
[-0.870]		 36.59
(14)
[-0.678]		 34.58
(14)
[-0.810]		 63.41
(14)
[0.699]		 15.70
(17)
[1.634]		 31.91
(14)
[-0.757]		 4.88
(14)
[-0.879]		 14.13
(16)
[1.242]		 33.63
(14)
[-0.745]		 53.56
(17)
[1.888]		 49.11
(17)
[2.125]		 75.05
(17)
[1.649]		 70.61
(17)
[1.790]		 36.59
(17)
[-1.833]		 28.80
(17)
[-1.644]		 26.36
(17)
[-1.668]		 50.56
(17)
[1.997]		 34.75
(17)
[-1.779]		 20.67
(17)
[2.106]		 68.12
(17)
[2.099]		 15.50
(17)
[-2.109]		 34.56
(17)
[1.917]		 12.57
(17)
[-1.724]		 21.60
(17)
[-1.405]		 34.65
(17)
[-1.639]		 35.98
(17)
[-1.641]		 30.24
(17)
[-1.630]		 44.75
(17)
[-1.532]		 14.79
(17)
[1.521]