The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'CS' (correct segmentation) 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
criterion 'CS' (correct segmentation) in descending orderCS
47.40
±31.75
OS
4.18
±9.86
US
4.90
±3.90
ME
41.74
±27.89
NE
41.64
±27.61
O
43.54
±36.18
C
41.22
±34.60
CA
50.61
±33.25
CO
58.76
±32.50
CC
60.60
±32.07
I
41.24
±32.50
II
6.63
±5.54
EA
57.00
±33.09
MS
42.36
±42.57
RM
7.28
±5.70
CI
58.09
±32.75
GCE
25.29
±14.04
LCE
20.73
±12.56
BCE
38.71
±21.68
GBCE
34.16
±20.12
BGM
72.42
±18.26
SC
64.96
±20.54
SSC
64.29
±21.23
VD
21.97
±13.88
L
70.14
±18.57
AVI
9.48
±5.23
NVI
30.44
±17.41
NMI
63.58
±21.73
M
14.87
±10.28
ARI
58.82
±25.43
JC
56.33
±23.15
DC
68.22
±19.00
FMI
68.87
±18.48
WI
66.94
±21.02
WII
72.21
±16.08
NBDE
8.08
±4.33
 1.  huangyuan's EWT-FCNT   [normal] CL 1 0 0 0  98.43 
 (1.11) 
 [1.421] 
98.45
(1)
[1.608]
0.00
(1)
[-0.424]
0.00
(1)
[-1.257]
0.37
(2)
[-1.483]
0.46
(2)
[-1.492]
0.93
(1)
[-1.178]
1.05
(1)
[-1.161]
97.67
(1)
[1.415]
98.78
(1)
[1.231]
98.81
(1)
[1.191]
1.22
(1)
[-1.231]
0.25
(2)
[-1.153]
98.76
(1)
[1.262]
98.17
(1)
[1.311]
0.24
(2)
[-1.235]
98.78
(1)
[1.242]
2.23
(1)
[-1.643]
1.68
(1)
[-1.517]
2.88
(1)
[-1.653]
2.33
(1)
[-1.582]
98.78
(1)
[1.443]
97.69
(1)
[1.593]
97.67
(1)
[1.572]
1.21
(1)
[-1.496]
97.86
(1)
[1.493]
1.02
(1)
[-1.617]
3.33
(1)
[-1.557]
96.32
(1)
[1.507]
0.74
(1)
[-1.374]
97.61
(1)
[1.525]
96.31
(1)
[1.727]
98.09
(1)
[1.572]
98.09
(1)
[1.581]
98.14
(1)
[1.485]
98.04
(1)
[1.607]
0.60
(1)
[-1.725]
 2.  huangyuan's unet psp21ewt  [normal] CL 1 0 0 0  97.67 
 (2.22) 
 [1.379] 
98.09
(2)
[1.597]
1.70
(11)
[-0.251]
0.00
(1)
[-1.257]
0.37
(1)
[-1.483]
0.09
(1)
[-1.505]
1.57
(2)
[-1.160]
1.82
(2)
[-1.139]
96.52
(2)
[1.381]
98.18
(2)
[1.213]
98.01
(2)
[1.166]
1.82
(2)
[-1.213]
0.39
(3)
[-1.127]
98.08
(2)
[1.241]
97.27
(2)
[1.290]
0.29
(3)
[-1.227]
98.09
(2)
[1.221]
3.20
(2)
[-1.573]
2.70
(2)
[-1.436]
3.95
(2)
[-1.603]
3.44
(2)
[-1.527]
98.18
(2)
[1.411]
96.71
(2)
[1.545]
96.55
(2)
[1.520]
1.75
(2)
[-1.456]
96.57
(2)
[1.424]
1.48
(2)
[-1.529]
4.90
(2)
[-1.466]
94.58
(2)
[1.427]
1.08
(2)
[-1.341]
96.60
(2)
[1.486]
94.77
(2)
[1.660]
97.29
(2)
[1.530]
97.29
(2)
[1.538]
97.15
(2)
[1.437]
97.44
(2)
[1.570]
0.77
(2)
[-1.687]
 3.  v-andrearczyk's FCNT sup.  [normal] CL 1 0 1 0  95.98 
 (3.25) 
 [1.285] 
96.01
(3)
[1.531]
1.56
(10)
[-0.266]
1.20
(3)
[-0.950]
0.78
(3)
[-1.469]
0.89
(3)
[-1.476]
2.71
(3)
[-1.128]
2.29
(3)
[-1.125]
93.95
(3)
[1.304]
96.73
(3)
[1.168]
97.02
(3)
[1.135]
3.27
(3)
[-1.168]
0.68
(4)
[-1.075]
96.68
(3)
[1.199]
95.10
(3)
[1.239]
0.86
(4)
[-1.126]
96.77
(3)
[1.181]
5.55
(3)
[-1.406]
3.75
(3)
[-1.353]
7.69
(3)
[-1.430]
5.89
(3)
[-1.405]
96.81
(3)
[1.336]
94.16
(3)
[1.421]
94.03
(3)
[1.401]
3.06
(3)
[-1.362]
94.69
(3)
[1.322]
2.27
(3)
[-1.378]
7.56
(3)
[-1.314]
91.69
(3)
[1.294]
1.96
(3)
[-1.255]
93.84
(3)
[1.377]
90.74
(3)
[1.487]
95.10
(3)
[1.415]
95.11
(3)
[1.420]
94.77
(3)
[1.324]
95.46
(3)
[1.447]
1.32
(3)
[-1.560]
 4.  connetwork12's conn col-noblur  [normal] CL 1 0 0 0  90.41 
 (3.97) 
 [1.004] 
84.57
(4)
[1.171]
0.00
(1)
[-0.424]
1.70
(4)
[-0.821]
9.50
(4)
[-1.156]
10.22
(4)
[-1.138]
7.00
(4)
[-1.010]
5.34
(4)
[-1.037]
86.21
(4)
[1.071]
92.02
(4)
[1.023]
92.68
(4)
[1.000]
7.98
(4)
[-1.023]
1.70
(5)
[-0.890]
91.72
(4)
[1.049]
88.03
(4)
[1.073]
2.08
(5)
[-0.912]
92.02
(4)
[1.036]
11.76
(4)
[-0.963]
8.61
(4)
[-0.965]
16.45
(4)
[-1.027]
13.30
(4)
[-1.037]
92.02
(4)
[1.073]
86.73
(4)
[1.059]
86.36
(4)
[1.040]
7.50
(4)
[-1.043]
88.77
(4)
[1.004]
4.31
(4)
[-0.988]
14.50
(4)
[-0.915]
84.01
(4)
[0.940]
4.69
(4)
[-0.990]
85.54
(4)
[1.051]
80.13
(4)
[1.028]
88.56
(4)
[1.071]
88.61
(4)
[1.068]
87.65
(4)
[0.985]
89.66
(4)
[1.085]
3.86
(4)
[-0.973]
 5.  connetwork12's conn col-blur3  [normal] CL 1 0 0 0  85.80 
 (5.33) 
 [0.773] 
72.93
(5)
[0.804]
1.73
(12)
[-0.248]
2.74
(8)
[-0.554]
18.89
(5)
[-0.819]
18.74
(5)
[-0.829]
9.21
(5)
[-0.949]
9.78
(5)
[-0.909]
80.08
(5)
[0.887]
87.78
(5)
[0.893]
89.19
(5)
[0.891]
12.22
(5)
[-0.893]
2.59
(6)
[-0.731]
87.40
(5)
[0.919]
81.67
(5)
[0.923]
3.15
(6)
[-0.725]
87.92
(5)
[0.911]
16.64
(5)
[-0.616]
12.55
(5)
[-0.652]
22.57
(5)
[-0.744]
18.48
(5)
[-0.779]
88.02
(5)
[0.854]
81.18
(5)
[0.789]
80.76
(5)
[0.776]
10.90
(5)
[-0.797]
84.92
(5)
[0.796]
5.75
(5)
[-0.712]
19.43
(5)
[-0.632]
78.64
(5)
[0.693]
6.78
(5)
[-0.787]
79.07
(5)
[0.796]
72.50
(5)
[0.698]
83.47
(5)
[0.803]
83.50
(5)
[0.792]
82.47
(5)
[0.739]
84.60
(5)
[0.771]
5.03
(5)
[-0.704]
 6.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  76.32 
 (6.22) 
 [0.338] 
52.48
(6)
[0.160]
0.00
(1)
[-0.424]
1.94
(6)
[-0.759]
41.55
(7)
[-0.007]
40.97
(7)
[-0.024]
20.74
(7)
[-0.630]
22.10
(7)
[-0.553]
67.01
(6)
[0.493]
77.86
(6)
[0.588]
78.34
(7)
[0.553]
22.14
(6)
[-0.588]
4.40
(7)
[-0.403]
76.21
(6)
[0.580]
66.79
(6)
[0.574]
4.47
(7)
[-0.492]
77.05
(6)
[0.579]
23.93
(7)
[-0.096]
19.69
(7)
[-0.083]
33.50
(6)
[-0.240]
29.26
(6)
[-0.243]
79.35
(6)
[0.380]
71.06
(6)
[0.297]
69.71
(6)
[0.255]
17.86
(6)
[-0.296]
75.22
(7)
[0.274]
8.41
(6)
[-0.203]
27.51
(7)
[-0.168]
68.94
(6)
[0.247]
10.62
(6)
[-0.413]
67.19
(6)
[0.329]
60.90
(6)
[0.197]
73.94
(6)
[0.301]
74.22
(6)
[0.289]
71.09
(7)
[0.198]
77.92
(6)
[0.355]
8.50
(7)
[0.098]
 7.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.28 
 (7.25) 
 [0.203] 
46.11
(7)
[-0.041]
0.81
(8)
[-0.341]
4.18
(9)
[-0.185]
44.82
(8)
[0.110]
45.29
(8)
[0.132]
14.52
(6)
[-0.802]
16.77
(6)
[-0.707]
65.42
(7)
[0.446]
76.19
(7)
[0.536]
80.30
(6)
[0.614]
23.81
(7)
[-0.536]
4.82
(8)
[-0.328]
75.40
(7)
[0.556]
64.29
(7)
[0.515]
6.43
(8)
[-0.149]
76.69
(7)
[0.568]
25.78
(8)
[0.035]
20.68
(8)
[-0.004]
36.67
(7)
[-0.094]
31.58
(7)
[-0.128]
76.19
(7)
[0.207]
66.99
(7)
[0.099]
66.85
(7)
[0.121]
20.35
(7)
[-0.117]
76.15
(6)
[0.324]
8.84
(7)
[-0.123]
29.20
(8)
[-0.071]
67.43
(7)
[0.177]
13.25
(7)
[-0.158]
60.58
(7)
[0.069]
54.85
(7)
[-0.064]
69.05
(7)
[0.043]
69.41
(7)
[0.029]
68.59
(8)
[0.079]
70.97
(7)
[-0.077]
9.62
(9)
[0.356]
 8.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.49 
 (10.14) 
 [-0.536] 
42.19
(8)
[-0.164]
0.00
(1)
[-0.424]
2.41
(7)
[-0.638]
51.41
(9)
[0.347]
51.41
(9)
[0.354]
97.97
(15)
[1.504]
98.38
(15)
[1.652]
2.69
(15)
[-1.441]
4.97
(15)
[-1.655]
6.86
(15)
[-1.675]
95.03
(15)
[1.655]
15.57
(15)
[1.615]
4.80
(15)
[-1.577]
-34.39
(16)
[-1.803]
12.79
(13)
[0.968]
5.29
(15)
[-1.612]
30.12
(9)
[0.344]
23.82
(9)
[0.246]
41.73
(8)
[0.139]
35.43
(8)
[0.063]
72.58
(9)
[0.009]
62.64
(8)
[-0.113]
62.66
(8)
[-0.077]
23.85
(9)
[0.135]
70.30
(8)
[0.009]
10.49
(8)
[0.194]
33.98
(9)
[0.204]
62.06
(9)
[-0.070]
14.07
(9)
[-0.078]
56.97
(8)
[-0.073]
51.54
(8)
[-0.207]
65.80
(8)
[-0.127]
66.11
(8)
[-0.150]
65.48
(9)
[-0.069]
67.35
(9)
[-0.302]
7.64
(6)
[-0.100]
 9.  borkojos's cooccurence&naive bayes   [normal] CL 1 0 1 0  69.38 
 (8.64) 
 [0.002] 
39.12
(9)
[-0.261]
0.00
(1)
[-0.424]
1.92
(5)
[-0.764]
54.14
(10)
[0.444]
54.79
(10)
[0.476]
26.75
(8)
[-0.464]
29.46
(8)
[-0.340]
59.27
(8)
[0.261]
70.76
(8)
[0.369]
75.10
(8)
[0.452]
29.24
(8)
[-0.369]
4.85
(9)
[-0.322]
70.29
(8)
[0.402]
56.14
(8)
[0.324]
6.65
(9)
[-0.110]
71.51
(8)
[0.410]
32.19
(10)
[0.492]
25.91
(10)
[0.412]
42.77
(9)
[0.187]
36.48
(9)
[0.116]
72.83
(8)
[0.023]
61.79
(9)
[-0.155]
62.21
(9)
[-0.098]
24.01
(10)
[0.147]
69.08
(9)
[-0.057]
10.89
(9)
[0.270]
35.76
(10)
[0.306]
60.31
(10)
[-0.150]
14.22
(10)
[-0.063]
56.17
(9)
[-0.104]
50.26
(9)
[-0.262]
65.23
(9)
[-0.157]
65.48
(9)
[-0.184]
64.84
(10)
[-0.100]
66.61
(10)
[-0.348]
9.39
(8)
[0.302]
f1 f2 f3 f4 AVG
RANK
NORM
criterion 'CS' (correct segmentation) in descending orderCS
47.40
±31.75
OS
4.18
±9.86
US
4.90
±3.90
ME
41.74
±27.89
NE
41.64
±27.61
O
43.54
±36.18
C
41.22
±34.60
CA
50.61
±33.25
CO
58.76
±32.50
CC
60.60
±32.07
I
41.24
±32.50
II
6.63
±5.54
EA
57.00
±33.09
MS
42.36
±42.57
RM
7.28
±5.70
CI
58.09
±32.75
GCE
25.29
±14.04
LCE
20.73
±12.56
BCE
38.71
±21.68
GBCE
34.16
±20.12
BGM
72.42
±18.26
SC
64.96
±20.54
SSC
64.29
±21.23
VD
21.97
±13.88
L
70.14
±18.57
AVI
9.48
±5.23
NVI
30.44
±17.41
NMI
63.58
±21.73
M
14.87
±10.28
ARI
58.82
±25.43
JC
56.33
±23.15
DC
68.22
±19.00
FMI
68.87
±18.48
WI
66.94
±21.02
WII
72.21
±16.08
NBDE
8.08
±4.33
 10.  LiRa's ==   [normal] CL 1 0 0 0  52.37 
 (10.44) 
 [-0.541] 
29.72
(10)
[-0.557]
41.22
(16)
[3.759]
6.48
(11)
[0.406]
27.12
(6)
[-0.524]
29.19
(6)
[-0.451]
100.00
(16)
[1.561]
100.00
(16)
[1.699]
0.00
(16)
[-1.522]
0.00
(16)
[-1.808]
0.00
(16)
[-1.889]
100.00
(16)
[1.808]
0.00
(1)
[-1.198]
0.00
(16)
[-1.722]
0.00
(14)
[-0.995]
0.00
(1)
[-1.277]
0.00
(16)
[-1.774]
19.97
(6)
[-0.379]
13.74
(6)
[-0.557]
49.53
(10)
[0.499]
43.31
(10)
[0.455]
63.33
(10)
[-0.497]
53.12
(10)
[-0.576]
58.28
(10)
[-0.283]
23.19
(8)
[0.088]
68.16
(10)
[-0.107]
11.10
(10)
[0.310]
21.46
(6)
[-0.516]
66.55
(8)
[0.137]
13.59
(8)
[-0.125]
54.00
(10)
[-0.189]
46.16
(10)
[-0.439]
61.71
(10)
[-0.343]
63.43
(10)
[-0.295]
76.51
(6)
[0.455]
54.02
(15)
[-1.131]
9.72
(10)
[0.379]
 11.  leskajur's LFM + kNN   [normal] CL 1 0 1 0  55.02 
 (11.94) 
 [-0.666] 
26.00
(11)
[-0.674]
5.01
(14)
[0.085]
9.42
(12)
[1.161]
60.96
(12)
[0.689]
59.65
(12)
[0.652]
66.89
(11)
[0.645]
60.33
(12)
[0.553]
31.40
(11)
[-0.578]
43.31
(11)
[-0.475]
48.73
(12)
[-0.370]
56.69
(11)
[0.475]
11.45
(12)
[0.871]
39.22
(11)
[-0.537]
14.96
(11)
[-0.644]
13.51
(14)
[1.093]
41.76
(11)
[-0.499]
33.27
(11)
[0.568]
27.61
(11)
[0.548]
54.71
(12)
[0.738]
49.05
(12)
[0.740]
59.22
(13)
[-0.723]
50.90
(12)
[-0.684]
48.17
(12)
[-0.759]
30.99
(12)
[0.650]
54.01
(13)
[-0.869]
12.73
(12)
[0.622]
41.80
(12)
[0.653]
48.43
(12)
[-0.697]
23.69
(13)
[0.858]
39.50
(13)
[-0.760]
39.26
(13)
[-0.737]
54.30
(13)
[-0.733]
55.74
(13)
[-0.711]
47.16
(13)
[-0.941]
67.36
(8)
[-0.301]
10.97
(12)
[0.667]
 12.  luptarad's laws masks & kNN 1.0  [normal] CL 1 0 1 0  57.44 
 (11.44) 
 [-0.568] 
24.57
(12)
[-0.719]
4.40
(13)
[0.023]
9.46
(13)
[1.170]
58.04
(11)
[0.584]
55.34
(11)
[0.496]
51.04
(9)
[0.207]
47.53
(10)
[0.183]
36.75
(9)
[-0.417]
49.97
(10)
[-0.270]
51.28
(10)
[-0.291]
50.03
(10)
[0.270]
7.75
(10)
[0.202]
45.09
(10)
[-0.360]
24.95
(10)
[-0.409]
11.67
(11)
[0.771]
47.24
(10)
[-0.331]
33.82
(12)
[0.607]
28.69
(13)
[0.633]
54.77
(13)
[0.741]
49.64
(13)
[0.770]
59.71
(12)
[-0.696]
51.67
(11)
[-0.647]
48.01
(13)
[-0.767]
31.26
(13)
[0.669]
55.09
(12)
[-0.810]
13.10
(13)
[0.693]
43.21
(13)
[0.733]
47.59
(13)
[-0.736]
22.73
(12)
[0.765]
41.16
(12)
[-0.695]
39.98
(11)
[-0.706]
54.99
(12)
[-0.696]
56.46
(11)
[-0.672]
49.53
(12)
[-0.828]
66.56
(11)
[-0.351]
10.40
(11)
[0.536]
 13.  veselj38's Histogram ratio features 1.21  [normal] CL 1 0 0 0  48.48 
 (12.42) 
 [-0.817] 
20.64
(13)
[-0.843]
8.84
(15)
[0.474]
5.46
(10)
[0.144]
62.70
(13)
[0.751]
62.78
(13)
[0.765]
95.42
(14)
[1.434]
94.85
(14)
[1.550]
9.45
(14)
[-1.238]
13.85
(14)
[-1.381]
17.65
(14)
[-1.339]
86.15
(14)
[1.381]
13.72
(14)
[1.281]
13.61
(14)
[-1.311]
-19.75
(15)
[-1.459]
10.26
(10)
[0.524]
14.53
(14)
[-1.330]
37.36
(13)
[0.860]
28.64
(12)
[0.630]
52.75
(11)
[0.648]
44.03
(11)
[0.491]
62.26
(11)
[-0.556]
50.86
(13)
[-0.686]
51.47
(11)
[-0.604]
30.55
(11)
[0.618]
60.33
(11)
[-0.528]
12.01
(11)
[0.485]
40.10
(11)
[0.555]
56.09
(11)
[-0.345]
17.96
(11)
[0.301]
44.52
(11)
[-0.563]
39.60
(12)
[-0.722]
55.83
(11)
[-0.652]
56.19
(12)
[-0.686]
57.90
(11)
[-0.430]
55.22
(14)
[-1.057]
11.44
(13)
[0.776]
 14.  jirkujak's LBP 3,1  [normal] CL 1 0 1 0  48.96 
 (13.44) 
 [-0.979] 
12.16
(14)
[-1.110]
0.00
(1)
[-0.424]
9.67
(15)
[1.225]
75.55
(14)
[1.212]
74.24
(14)
[1.181]
72.24
(12)
[0.793]
51.36
(11)
[0.293]
26.31
(12)
[-0.731]
40.38
(12)
[-0.565]
51.72
(9)
[-0.277]
59.62
(12)
[0.565]
10.11
(11)
[0.629]
35.36
(12)
[-0.654]
10.56
(12)
[-0.747]
17.37
(16)
[1.771]
39.04
(12)
[-0.582]
37.54
(14)
[0.873]
31.64
(14)
[0.868]
63.95
(15)
[1.164]
58.04
(15)
[1.187]
50.06
(15)
[-1.224]
41.51
(15)
[-1.141]
38.46
(15)
[-1.217]
37.57
(15)
[1.124]
45.85
(15)
[-1.308]
14.95
(15)
[1.047]
50.03
(15)
[1.125]
36.86
(15)
[-1.229]
30.94
(15)
[1.563]
24.97
(15)
[-1.331]
29.64
(15)
[-1.153]
44.62
(15)
[-1.242]
46.39
(15)
[-1.217]
36.80
(15)
[-1.434]
59.78
(12)
[-0.773]
12.95
(15)
[1.125]
 15.  guloleg's HOG  [normal] 1 0 1 0  53.15 
 (12.75) 
 [-0.808] 
11.59
(15)
[-1.128]
1.54
(9)
[-0.268]
9.62
(14)
[1.211]
76.51
(15)
[1.246]
77.17
(15)
[1.287]
51.11
(10)
[0.209]
46.26
(9)
[0.146]
35.67
(10)
[-0.449]
52.72
(9)
[-0.186]
49.37
(11)
[-0.350]
47.28
(9)
[0.186]
12.13
(13)
[0.993]
47.43
(9)
[-0.289]
29.09
(9)
[-0.312]
12.53
(12)
[0.922]
49.14
(9)
[-0.273]
37.69
(15)
[0.883]
32.92
(15)
[0.970]
60.40
(14)
[1.000]
55.62
(14)
[1.067]
52.72
(14)
[-1.078]
43.59
(14)
[-1.040]
41.08
(14)
[-1.093]
36.90
(14)
[1.076]
50.46
(14)
[-1.060]
13.59
(14)
[0.787]
46.09
(14)
[0.899]
42.23
(14)
[-0.982]
27.03
(14)
[1.182]
30.87
(14)
[-1.099]
33.00
(14)
[-1.008]
48.91
(14)
[-1.017]
49.98
(14)
[-1.022]
42.69
(14)
[-1.154]
59.55
(13)
[-0.787]
12.24
(14)
[0.961]
 16.  mahelpet's noname   [normal] 1 0 0 0  39.59 
 (14.81) 
 [-1.490] 
3.83
(16)
[-1.373]
0.00
(1)
[-0.424]
12.17
(16)
[1.867]
85.20
(16)
[1.558]
85.02
(16)
[1.571]
78.47
(13)
[0.966]
72.17
(13)
[0.895]
21.29
(13)
[-0.882]
36.59
(13)
[-0.682]
34.58
(13)
[-0.811]
63.41
(13)
[0.682]
15.70
(16)
[1.638]
31.91
(13)
[-0.758]
4.88
(13)
[-0.880]
14.13
(15)
[1.203]
33.63
(13)
[-0.747]
53.56
(16)
[2.014]
49.11
(16)
[2.260]
75.05
(16)
[1.676]
70.61
(16)
[1.812]
36.59
(16)
[-1.962]
28.80
(16)
[-1.760]
26.36
(16)
[-1.787]
50.56
(16)
[2.059]
34.75
(16)
[-1.906]
20.67
(16)
[2.141]
68.12
(16)
[2.164]
15.50
(16)
[-2.212]
34.56
(16)
[1.915]
12.57
(16)
[-1.819]
21.60
(16)
[-1.500]
34.65
(16)
[-1.767]
35.98
(16)
[-1.780]
30.24
(16)
[-1.746]
44.75
(16)
[-1.708]
14.79
(16)
[1.549]