The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'SSC' (segmentation covering 2) in descending order. The sorting criterium or the order can be changed by clicking on the appropriate criterium label. Subset of compared results can be filtered by several filters below. The segmentation details (single mosaics and their corresponding criteria values) are visible by clicking on the order number. Below the criterium labels are mean and standard deviation of the values of displayed results. They are used to compute z-scores which are displayed in brackets. The ranks are displayed in parentheses.

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? 0 1   f1 = classification (supervised segmentation)
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? 0 1   f3 = known number of regions
? 0 1   f4 = [reserved]
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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
criterion 'SSC' (segmentation covering 2) in descending orderSSC
65.14
±16.05
VD
20.85
±10.80
L
71.19
±14.22
AVI
8.88
±4.51
NVI
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.  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]
 3.  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]
 4.  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]
 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.  hadacmar's CoOccurenceFeatures  [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]
 9.  chaththa85's ImprvGMRF  [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]
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
criterion 'SSC' (segmentation covering 2) in descending orderSSC
65.14
±16.05
VD
20.85
±10.80
L
71.19
±14.22
AVI
8.88
±4.51
NVI
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.  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]
 16.  guloleg's HOG  [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]
 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]