The Prague Texture Segmentation Datagenerator and Benchmark - Results
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Results are sorted by criterion 'NVI' (normalized variation of information) 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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Algorithm: Version:

   
Benchmark - Colour f1 f2 f3 f4 AVG
RANK
NORM		 CS
46.31
±23.09		 OS
6.83
±6.04		 US
8.57
±5.98		 ME
37.93
±25.52		 NE
37.83
±25.29		 O
30.92
±27.29		 C
30.35
±24.48		 CA
57.53
±23.73		 CO
66.83
±22.44		 CC
70.34
±21.97		 I
33.17
±22.44		 II
6.25
±4.32		 EA
65.37
±23.39		 MS
51.00
±32.36		 RM
8.07
±4.49		 CI
66.70
±22.94		 GCE
24.03
±11.21		 LCE
18.44
±10.80		 BCE
37.89
±16.08		 GBCE
32.30
±15.64		 BGM
73.10
±13.31		 SC
65.96
±15.21		 SSC
65.14
±16.05		 VD
20.85
±10.80		 L
71.19
±14.22		 AVI
8.88
±4.51		 criterion 'NVI' (normalized variation of information) in ascending orderNVI
28.51
±13.46		 NMI
66.73
±16.99		 M
14.33
±8.29		 ARI
60.47
±19.66		 JC
56.69
±17.26		 DC
69.38
±14.73		 FMI
69.96
±14.33		 WI
67.72
±16.87		 WII
73.45
±11.66		 NBDE
8.19
±3.46
 1.  v-andrearczyk's FCNT sup.  [normal] CL 1 0 1 0  95.98 
 (1.17) 
 [1.545] 		 96.01
(1)
[2.152]		 1.56
(7)
[-0.874]		 1.20
(1)
[-1.234]		 0.78
(1)
[-1.456]		 0.89
(1)
[-1.461]		 2.71
(1)
[-1.033]		 2.29
(1)
[-1.146]		 93.95
(1)
[1.535]		 96.73
(1)
[1.333]		 97.02
(1)
[1.214]		 3.27
(1)
[-1.333]		 0.68
(1)
[-1.289]		 96.68
(1)
[1.339]		 95.10
(1)
[1.363]		 0.86
(1)
[-1.605]		 96.77
(1)
[1.311]		 5.55
(1)
[-1.649]		 3.75
(1)
[-1.361]		 7.69
(1)
[-1.877]		 5.89
(1)
[-1.689]		 96.81
(1)
[1.781]		 94.16
(1)
[1.855]		 94.03
(1)
[1.800]		 3.06
(1)
[-1.647]		 94.69
(1)
[1.652]		 2.27
(1)
[-1.466]		 7.56
(1)
[-1.557]		 91.69
(1)
[1.469]		 1.96
(1)
[-1.493]		 93.84
(1)
[1.697]		 90.74
(1)
[1.972]		 95.10
(1)
[1.746]		 95.11
(1)
[1.755]		 94.77
(1)
[1.604]		 95.46
(1)
[1.889]		 1.32
(1)
[-1.984]
 2.  xiaofang's sas_gmm(color) c=7  [normal] 0 0 1 0  86.71 
 (3.58) 
 [0.890] 		 66.88
(5)
[0.891]		 13.63
(14)
[1.127]		 11.93
(16)
[0.562]		 8.46
(2)
[-1.155]		 8.44
(2)
[-1.162]		 4.92
(2)
[-0.953]		 6.97
(3)
[-0.955]		 79.87
(3)
[0.942]		 85.76
(3)
[0.844]		 88.16
(4)
[0.811]		 14.24
(3)
[-0.844]		 2.36
(4)
[-0.899]		 85.72
(3)
[0.870]		 78.65
(3)
[0.854]		 4.45
(4)
[-0.807]		 86.33
(3)
[0.856]		 11.00
(2)
[-1.163]		 5.90
(2)
[-1.161]		 21.14
(3)
[-1.041]		 16.05
(3)
[-1.039]		 85.76
(3)
[0.952]		 81.49
(3)
[1.022]		 81.61
(3)
[1.026]		 9.50
(3)
[-1.050]		 85.88
(2)
[1.033]		 3.88
(2)
[-1.108]		 13.10
(2)
[-1.145]		 85.65
(2)
[1.114]		 6.52
(3)
[-0.943]		 80.86
(3)
[1.037]		 75.31
(3)
[1.079]		 85.05
(3)
[1.064]		 85.32
(3)
[1.071]		 85.89
(2)
[1.077]		 85.29
(3)
[1.016]		 5.58
(5)
[-0.755]
 3.  felipecalderero's GSRM sup. KL area-weighted  [normal] 0 0 1 0  85.76 
 (4.06) 
 [0.868] 		 68.72
(3)
[0.970]		 9.00
(10)
[0.360]		 6.67
(6)
[-0.318]		 15.09
(5)
[-0.895]		 15.16
(5)
[-0.896]		 7.74
(4)
[-0.849]		 6.79
(2)
[-0.962]		 78.90
(4)
[0.901]		 84.74
(4)
[0.798]		 89.30
(2)
[0.863]		 15.26
(4)
[-0.798]		 2.10
(2)
[-0.961]		 85.01
(4)
[0.840]		 77.12
(4)
[0.807]		 4.54
(6)
[-0.786]		 85.98
(4)
[0.840]		 13.29
(4)
[-0.959]		 6.93
(4)
[-1.066]		 22.51
(4)
[-0.956]		 16.16
(4)
[-1.032]		 84.74
(4)
[0.875]		 80.09
(4)
[0.929]		 80.13
(4)
[0.934]		 10.88
(5)
[-0.922]		 84.38
(4)
[0.927]		 4.29
(3)
[-1.017]		 14.22
(3)
[-1.062]		 84.50
(3)
[1.046]		 6.84
(4)
[-0.904]		 78.95
(4)
[0.940]		 73.34
(4)
[0.964]		 83.20
(4)
[0.938]		 83.40
(4)
[0.937]		 84.46
(4)
[0.993]		 82.76
(4)
[0.799]		 4.96
(3)
[-0.933]
 4.  frzn's texNCUT   [large] 0 0 1 0  87.01 
 (3.03) 
 [0.930] 		 72.54
(2)
[1.136]		 10.92
(11)
[0.679]		 9.61
(11)
[0.174]		 10.25
(3)
[-1.085]		 9.83
(3)
[-1.107]		 7.33
(3)
[-0.864]		 8.17
(4)
[-0.906]		 80.58
(2)
[0.971]		 86.89
(2)
[0.894]		 88.28
(3)
[0.816]		 13.11
(2)
[-0.894]		 2.36
(3)
[-0.899]		 86.39
(2)
[0.899]		 80.33
(2)
[0.906]		 3.69
(2)
[-0.975]		 86.97
(2)
[0.883]		 11.92
(3)
[-1.080]		 6.85
(3)
[-1.073]		 20.64
(2)
[-1.073]		 15.56
(2)
[-1.070]		 86.89
(2)
[1.036]		 82.46
(2)
[1.085]		 81.90
(2)
[1.044]		 9.18
(2)
[-1.080]		 84.35
(5)
[0.925]		 4.30
(4)
[-1.015]		 14.49
(4)
[-1.042]		 84.14
(4)
[1.025]		 6.03
(2)
[-1.001]		 81.48
(2)
[1.068]		 75.77
(2)
[1.105]		 85.35
(2)
[1.084]		 85.50
(2)
[1.084]		 84.76
(3)
[1.010]		 86.57
(2)
[1.126]		 4.49
(2)
[-1.068]
 5.  felipecalderero's GSRM MARKOV sup. KL area-weighted  [normal] 0 0 1 0  85.13 
 (5.03) 
 [0.813] 		 67.55
(4)
[0.920]		 11.36
(12)
[0.751]		 9.11
(8)
[0.089]		 12.58
(4)
[-0.993]		 13.54
(4)
[-0.960]		 7.81
(5)
[-0.847]		 8.42
(5)
[-0.896]		 78.07
(5)
[0.866]		 84.30
(5)
[0.778]		 87.19
(5)
[0.767]		 15.70
(5)
[-0.778]		 2.91
(5)
[-0.772]		 84.32
(5)
[0.810]		 76.44
(5)
[0.786]		 4.26
(3)
[-0.848]		 85.01
(5)
[0.798]		 13.33
(5)
[-0.955]		 7.21
(5)
[-1.040]		 23.13
(5)
[-0.917]		 17.01
(5)
[-0.978]		 84.30
(5)
[0.841]		 79.53
(5)
[0.893]		 79.83
(5)
[0.916]		 10.85
(4)
[-0.926]		 84.77
(3)
[0.955]		 4.41
(5)
[-0.992]		 14.60
(5)
[-1.034]		 83.91
(5)
[1.011]		 7.61
(5)
[-0.811]		 77.27
(5)
[0.855]		 71.45
(5)
[0.855]		 82.06
(5)
[0.861]		 82.33
(5)
[0.863]		 82.59
(5)
[0.882]		 82.65
(5)
[0.789]		 5.06
(4)
[-0.904]
 6.  david0432's Cooperative Mum-Shah   [normal] 0 0 1 0  80.21 
 (6.83) 
 [0.486] 		 53.73
(6)
[0.321]		 16.29
(17)
[1.568]		 11.76
(15)
[0.533]		 18.57
(7)
[-0.759]		 18.66
(7)
[-0.758]		 12.55
(6)
[-0.673]		 16.85
(7)
[-0.551]		 71.58
(6)
[0.592]		 78.99
(6)
[0.542]		 84.91
(6)
[0.663]		 21.01
(6)
[-0.542]		 3.11
(6)
[-0.727]		 79.39
(6)
[0.600]		 70.84
(6)
[0.613]		 6.45
(9)
[-0.362]		 80.61
(6)
[0.606]		 16.29
(7)
[-0.690]		 8.88
(6)
[-0.886]		 30.80
(6)
[-0.441]		 23.38
(6)
[-0.570]		 78.99
(7)
[0.442]		 72.83
(6)
[0.452]		 73.35
(6)
[0.512]		 14.43
(6)
[-0.594]		 79.26
(6)
[0.567]		 5.92
(7)
[-0.656]		 18.40
(6)
[-0.751]		 78.23
(6)
[0.677]		 10.09
(6)
[-0.512]		 70.52
(6)
[0.511]		 64.26
(6)
[0.438]		 76.88
(6)
[0.509]		 77.31
(6)
[0.513]		 77.60
(6)
[0.586]		 77.93
(7)
[0.384]		 6.15
(6)
[-0.589]
 7.  xiaofang's SR_multifeat all  [normal] 0 0 1 0  77.58 
 (8.36) 
 [0.286] 		 45.57
(10)
[-0.032]		 14.56
(15)
[1.281]		 27.86
(17)
[3.227]		 17.99
(6)
[-0.782]		 17.58
(6)
[-0.800]		 14.76
(8)
[-0.592]		 20.63
(8)
[-0.397]		 65.36
(9)
[0.330]		 76.12
(9)
[0.414]		 76.95
(10)
[0.301]		 23.88
(9)
[-0.414]		 5.18
(11)
[-0.247]		 73.17
(10)
[0.334]		 64.18
(9)
[0.407]		 7.49
(11)
[-0.130]		 74.36
(10)
[0.334]		 14.68
(6)
[-0.835]		 9.40
(7)
[-0.837]		 32.16
(7)
[-0.356]		 26.88
(7)
[-0.346]		 76.12
(9)
[0.227]		 71.39
(7)
[0.357]		 70.07
(7)
[0.307]		 15.46
(7)
[-0.499]		 76.62
(7)
[0.382]		 5.91
(6)
[-0.658]		 19.57
(7)
[-0.665]		 77.52
(7)
[0.636]		 11.17
(9)
[-0.382]		 68.58
(7)
[0.413]		 62.59
(7)
[0.342]		 75.81
(7)
[0.437]		 76.54
(7)
[0.459]		 72.03
(8)
[0.255]		 82.58
(6)
[0.783]		 7.63
(8)
[-0.161]
 8.  chaththa85's ImprvGMRF 1  [normal] 0 0 1 0  75.46 
 (9.03) 
 [0.200] 		 49.02
(8)
[0.117]		 15.06
(16)
[1.364]		 10.82
(14)
[0.376]		 21.44
(8)
[-0.646]		 22.76
(8)
[-0.596]		 22.06
(10)
[-0.324]		 26.87
(10)
[-0.142]		 64.74
(10)
[0.304]		 73.95
(10)
[0.317]		 79.03
(8)
[0.396]		 26.05
(10)
[-0.317]		 3.99
(7)
[-0.523]		 73.98
(9)
[0.368]		 60.92
(10)
[0.307]		 6.01
(7)
[-0.460]		 75.18
(9)
[0.370]		 23.07
(8)
[-0.086]		 15.90
(8)
[-0.236]		 36.10
(9)
[-0.111]		 28.92
(8)
[-0.216]		 73.95
(10)
[0.064]		 67.21
(9)
[0.082]		 67.44
(9)
[0.144]		 18.67
(9)
[-0.202]		 72.20
(10)
[0.071]		 8.14
(8)
[-0.163]		 27.33
(8)
[-0.088]		 70.26
(8)
[0.208]		 10.99
(8)
[-0.403]		 66.08
(9)
[0.285]		 59.42
(9)
[0.158]		 73.13
(9)
[0.254]		 73.46
(9)
[0.244]		 76.08
(7)
[0.496]		 71.54
(9)
[-0.163]		 6.76
(7)
[-0.411]
 9.  hadacmar's CoOccurenceFeatures 1  [normal] CL 1 0 1 0  76.32 
 (7.72) 
 [0.327] 		 52.48
(7)
[0.267]		 0.00
(1)
[-1.131]		 1.94
(3)
[-1.110]		 41.55
(9)
[0.142]		 40.97
(9)
[0.124]		 20.74
(9)
[-0.373]		 22.10
(9)
[-0.337]		 67.01
(7)
[0.400]		 77.86
(7)
[0.492]		 78.34
(9)
[0.364]		 22.14
(7)
[-0.492]		 4.40
(8)
[-0.428]		 76.21
(7)
[0.463]		 66.79
(7)
[0.488]		 4.47
(5)
[-0.801]		 77.05
(7)
[0.451]		 23.93
(9)
[-0.009]		 19.69
(9)
[0.116]		 33.50
(8)
[-0.273]		 29.26
(9)
[-0.194]		 79.35
(6)
[0.470]		 71.06
(8)
[0.335]		 69.71
(8)
[0.285]		 17.86
(8)
[-0.277]		 75.22
(9)
[0.284]		 8.41
(9)
[-0.103]		 27.51
(9)
[-0.075]		 68.94
(9)
[0.130]		 10.62
(7)
[-0.448]		 67.19
(8)
[0.342]		 60.90
(8)
[0.244]		 73.94
(8)
[0.310]		 74.22
(8)
[0.297]		 71.09
(9)
[0.200]		 77.92
(8)
[0.384]		 8.50
(10)
[0.092]
f1 f2 f3 f4 AVG
RANK
NORM		 CS
46.31
±23.09		 OS
6.83
±6.04		 US
8.57
±5.98		 ME
37.93
±25.52		 NE
37.83
±25.29		 O
30.92
±27.29		 C
30.35
±24.48		 CA
57.53
±23.73		 CO
66.83
±22.44		 CC
70.34
±21.97		 I
33.17
±22.44		 II
6.25
±4.32		 EA
65.37
±23.39		 MS
51.00
±32.36		 RM
8.07
±4.49		 CI
66.70
±22.94		 GCE
24.03
±11.21		 LCE
18.44
±10.80		 BCE
37.89
±16.08		 GBCE
32.30
±15.64		 BGM
73.10
±13.31		 SC
65.96
±15.21		 SSC
65.14
±16.05		 VD
20.85
±10.80		 L
71.19
±14.22		 AVI
8.88
±4.51		 criterion 'NVI' (normalized variation of information) in ascending orderNVI
28.51
±13.46		 NMI
66.73
±16.99		 M
14.33
±8.29		 ARI
60.47
±19.66		 JC
56.69
±17.26		 DC
69.38
±14.73		 FMI
69.96
±14.33		 WI
67.72
±16.87		 WII
73.45
±11.66		 NBDE
8.19
±3.46
 10.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.28 
 (8.94) 
 [0.163] 		 46.11
(9)
[-0.009]		 0.81
(5)
[-0.997]		 4.18
(5)
[-0.736]		 44.82
(10)
[0.270]		 45.29
(10)
[0.295]		 14.52
(7)
[-0.601]		 16.77
(6)
[-0.555]		 65.42
(8)
[0.333]		 76.19
(8)
[0.417]		 80.30
(7)
[0.453]		 23.81
(8)
[-0.417]		 4.82
(9)
[-0.332]		 75.40
(8)
[0.429]		 64.29
(8)
[0.411]		 6.43
(8)
[-0.366]		 76.69
(8)
[0.436]		 25.78
(10)
[0.156]		 20.68
(10)
[0.208]		 36.67
(10)
[-0.076]		 31.58
(10)
[-0.046]		 76.19
(8)
[0.233]		 66.99
(10)
[0.068]		 66.85
(10)
[0.107]		 20.35
(10)
[-0.046]		 76.15
(8)
[0.349]		 8.84
(10)
[-0.009]		 29.20
(10)
[0.051]		 67.43
(10)
[0.041]		 13.25
(10)
[-0.131]		 60.58
(10)
[0.006]		 54.85
(10)
[-0.107]		 69.05
(10)
[-0.022]		 69.41
(10)
[-0.039]		 68.59
(10)
[0.052]		 70.97
(10)
[-0.213]		 9.62
(12)
[0.414]
 11.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.49 
 (12.28) 
 [-0.858] 		 42.19
(11)
[-0.179]		 0.00
(1)
[-1.131]		 2.41
(4)
[-1.031]		 51.41
(11)
[0.528]		 51.41
(11)
[0.537]		 97.97
(17)
[2.457]		 98.38
(17)
[2.779]		 2.69
(17)
[-2.311]		 4.97
(17)
[-2.756]		 6.86
(17)
[-2.889]		 95.03
(17)
[2.756]		 15.57
(17)
[2.157]		 4.80
(17)
[-2.590]		 -34.39
(17)
[-2.639]		 12.79
(14)
[1.050]		 5.29
(17)
[-2.678]		 30.12
(11)
[0.543]		 23.82
(11)
[0.498]		 41.73
(11)
[0.239]		 35.43
(11)
[0.200]		 72.58
(12)
[-0.039]		 62.64
(11)
[-0.218]		 62.66
(11)
[-0.154]		 23.85
(11)
[0.278]		 70.30
(11)
[-0.063]		 10.49
(11)
[0.358]		 33.98
(11)
[0.406]		 62.06
(11)
[-0.275]		 14.07
(11)
[-0.032]		 56.97
(11)
[-0.178]		 51.54
(11)
[-0.298]		 65.80
(11)
[-0.242]		 66.11
(11)
[-0.269]		 65.48
(11)
[-0.133]		 67.35
(12)
[-0.523]		 7.64
(9)
[-0.157]
 12.  borkojos's cooccurence&naive bayes   [normal] CL 1 0 1 0  69.38 
 (11.03) 
 [-0.108] 		 39.12
(12)
[-0.312]		 0.00
(1)
[-1.131]		 1.92
(2)
[-1.113]		 54.14
(12)
[0.635]		 54.79
(12)
[0.671]		 26.75
(11)
[-0.152]		 29.46
(11)
[-0.036]		 59.27
(11)
[0.073]		 70.76
(11)
[0.175]		 75.10
(11)
[0.217]		 29.24
(11)
[-0.175]		 4.85
(10)
[-0.323]		 70.29
(11)
[0.210]		 56.14
(11)
[0.159]		 6.65
(10)
[-0.317]		 71.51
(11)
[0.209]		 32.19
(12)
[0.728]		 25.91
(12)
[0.691]		 42.77
(12)
[0.303]		 36.48
(12)
[0.268]		 72.83
(11)
[-0.020]		 61.79
(12)
[-0.274]		 62.21
(12)
[-0.182]		 24.01
(12)
[0.293]		 69.08
(12)
[-0.148]		 10.89
(12)
[0.446]		 35.76
(12)
[0.539]		 60.31
(12)
[-0.378]		 14.22
(12)
[-0.014]		 56.17
(12)
[-0.218]		 50.26
(12)
[-0.373]		 65.23
(12)
[-0.281]		 65.48
(12)
[-0.313]		 64.84
(12)
[-0.171]		 66.61
(13)
[-0.587]		 9.39
(11)
[0.347]
 13.  leskajur's LFM + kNN   [normal] CL 1 0 1 0  55.02 
 (13.69) 
 [-0.963] 		 26.00
(13)
[-0.880]		 5.01
(9)
[-0.301]		 9.42
(9)
[0.141]		 60.96
(14)
[0.902]		 59.65
(14)
[0.863]		 66.89
(15)
[1.318]		 60.33
(16)
[1.225]		 31.40
(15)
[-1.101]		 43.31
(15)
[-1.048]		 48.73
(16)
[-0.983]		 56.69
(15)
[1.048]		 11.45
(14)
[1.204]		 39.22
(15)
[-1.118]		 14.96
(15)
[-1.114]		 13.51
(15)
[1.208]		 41.76
(15)
[-1.087]		 33.27
(13)
[0.824]		 27.61
(13)
[0.849]		 54.71
(13)
[1.046]		 49.05
(13)
[1.071]		 59.22
(14)
[-1.043]		 50.90
(14)
[-0.990]		 48.17
(13)
[-1.057]		 30.99
(13)
[0.939]		 54.01
(14)
[-1.208]		 12.73
(13)
[0.855]		 41.80
(13)
[0.988]		 48.43
(13)
[-1.077]		 23.69
(14)
[1.128]		 39.50
(14)
[-1.066]		 39.26
(14)
[-1.010]		 54.30
(14)
[-1.023]		 55.74
(14)
[-0.993]		 47.16
(14)
[-1.219]		 67.36
(11)
[-0.522]		 10.97
(14)
[0.804]
 14.  luptarad's laws masks & kNN 1.0  [normal] CL 1 0 1 0  57.44 
 (13.22) 
 [-0.832] 		 24.57
(14)
[-0.942]		 4.40
(8)
[-0.402]		 9.46
(10)
[0.148]		 58.04
(13)
[0.788]		 55.34
(13)
[0.693]		 51.04
(13)
[0.738]		 47.53
(14)
[0.702]		 36.75
(13)
[-0.876]		 49.97
(14)
[-0.751]		 51.28
(14)
[-0.867]		 50.03
(14)
[0.751]		 7.75
(12)
[0.347]		 45.09
(14)
[-0.867]		 24.95
(14)
[-0.805]		 11.67
(12)
[0.800]		 47.24
(14)
[-0.849]		 33.82
(14)
[0.873]		 28.69
(14)
[0.949]		 54.77
(14)
[1.050]		 49.64
(14)
[1.109]		 59.71
(13)
[-1.006]		 51.67
(13)
[-0.940]		 48.01
(14)
[-1.067]		 31.26
(14)
[0.964]		 55.09
(13)
[-1.132]		 13.10
(14)
[0.937]		 43.21
(14)
[1.092]		 47.59
(14)
[-1.127]		 22.73
(13)
[1.013]		 41.16
(13)
[-0.982]		 39.98
(13)
[-0.968]		 54.99
(13)
[-0.976]		 56.46
(13)
[-0.942]		 49.53
(13)
[-1.078]		 66.56
(14)
[-0.591]		 10.40
(13)
[0.640]
 15.  guloleg's HOG 1  [normal] 1 0 1 0  53.15 
 (14.53) 
 [-1.130] 		 11.59
(17)
[-1.504]		 1.54
(6)
[-0.877]		 9.62
(12)
[0.174]		 76.51
(16)
[1.512]		 77.17
(16)
[1.556]		 51.11
(14)
[0.740]		 46.26
(12)
[0.650]		 35.67
(14)
[-0.921]		 52.72
(12)
[-0.628]		 49.37
(15)
[-0.955]		 47.28
(12)
[0.628]		 12.13
(15)
[1.360]		 47.43
(13)
[-0.767]		 29.09
(13)
[-0.677]		 12.53
(13)
[0.991]		 49.14
(13)
[-0.766]		 37.69
(16)
[1.219]		 32.92
(16)
[1.341]		 60.40
(15)
[1.399]		 55.62
(16)
[1.492]		 52.72
(15)
[-1.530]		 43.59
(15)
[-1.471]		 41.08
(16)
[-1.499]		 36.90
(15)
[1.486]		 50.46
(16)
[-1.458]		 13.59
(15)
[1.046]		 46.09
(15)
[1.306]		 42.23
(16)
[-1.442]		 27.03
(16)
[1.531]		 30.87
(16)
[-1.505]		 33.00
(15)
[-1.373]		 48.91
(15)
[-1.389]		 49.98
(15)
[-1.394]		 42.69
(16)
[-1.484]		 59.55
(16)
[-1.192]		 12.24
(15)
[1.173]
 16.  Alojz's TAlgorithm 0.1  [normal] 0 0 1 0  52.97 
 (14.75) 
 [-1.261] 		 13.11
(15)
[-1.438]		 11.94
(13)
[0.846]		 8.18
(7)
[-0.065]		 76.71
(17)
[1.520]		 77.30
(17)
[1.561]		 44.41
(12)
[0.494]		 46.76
(13)
[0.670]		 40.40
(12)
[-0.722]		 52.42
(13)
[-0.642]		 63.23
(12)
[-0.324]		 47.58
(13)
[0.642]		 12.47
(16)
[1.439]		 52.83
(12)
[-0.536]		 31.07
(12)
[-0.616]		 14.09
(16)
[1.339]		 55.02
(12)
[-0.509]		 45.06
(17)
[1.876]		 37.72
(17)
[1.786]		 61.44
(16)
[1.464]		 54.10
(15)
[1.395]		 52.42
(16)
[-1.553]		 41.97
(16)
[-1.578]		 41.82
(15)
[-1.453]		 39.59
(17)
[1.735]		 51.93
(15)
[-1.354]		 18.79
(17)
[2.198]		 47.89
(16)
[1.440]		 44.63
(15)
[-1.301]		 25.93
(15)
[1.398]		 32.97
(15)
[-1.398]		 31.47
(16)
[-1.461]		 45.98
(16)
[-1.588]		 46.62
(16)
[-1.629]		 46.86
(15)
[-1.237]		 47.76
(17)
[-2.204]		 15.50
(17)
[2.114]
 17.  jirkujak's LBP 3,1  [normal] CL 1 0 1 0  48.96 
 (15.58) 
 [-1.357] 		 12.16
(16)
[-1.479]		 0.00
(1)
[-1.131]		 9.67
(13)
[0.183]		 75.55
(15)
[1.474]		 74.24
(15)
[1.440]		 72.24
(16)
[1.515]		 51.36
(15)
[0.858]		 26.31
(16)
[-1.316]		 40.38
(16)
[-1.179]		 51.72
(13)
[-0.847]		 59.62
(16)
[1.179]		 10.11
(13)
[0.894]		 35.36
(16)
[-1.283]		 10.56
(16)
[-1.250]		 17.37
(17)
[2.067]		 39.04
(16)
[-1.206]		 37.54
(15)
[1.206]		 31.64
(15)
[1.222]		 63.95
(17)
[1.620]		 58.04
(17)
[1.647]		 50.06
(17)
[-1.730]		 41.51
(17)
[-1.608]		 38.46
(17)
[-1.662]		 37.57
(16)
[1.548]		 45.85
(17)
[-1.782]		 14.95
(16)
[1.348]		 50.03
(17)
[1.599]		 36.86
(17)
[-1.758]		 30.94
(17)
[2.003]		 24.97
(17)
[-1.805]		 29.64
(17)
[-1.567]		 44.62
(17)
[-1.680]		 46.39
(17)
[-1.645]		 36.80
(17)
[-1.833]		 59.78
(15)
[-1.172]		 12.95
(16)
[1.377]