The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'OS' (over-segmentation) 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.

Select  result's set    benchmark     hidden results Show Hide
Filter by algorithm features
? 0 1   f1 = classification (supervised segmentation)
? 0 1   f2 = hiearchy result (manual selection)
? 0 1   f3 = known number of regions
? 0 1   f4 = [reserved]
Filter by degradationtype: ? no Gaussian Poisson Salt&pepper Blur (Gaussian) Median
Filter by algorithm
Algorithm: Version:

   
Benchmark - Colour f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  58.47 
 (114.31) 
 [-0.423] 
20.50
(116)
[-0.729]
0.00
(1)
[-0.717]
1.12
(48)
[-0.552]
76.06
(150)
[1.128]
75.59
(149)
[1.105]
38.20
(78)
[-0.575]
40.80
(78)
[-0.520]
48.77
(77)
[0.417]
61.74
(77)
[0.563]
65.68
(77)
[0.620]
38.26
(78)
[-0.559]
6.98
(92)
[-0.233]
62.00
(77)
[0.595]
42.61
(77)
[0.476]
5.47
(72)
[-0.414]
62.82
(77)
[0.596]
46.66
(155)
[1.331]
42.03
(155)
[1.602]
54.82
(133)
[0.802]
50.18
(147)
[0.958]
61.96
(118)
[-0.704]
48.82
(133)
[-0.828]
49.53
(128)
[-0.770]
36.00
(149)
[1.119]
58.58
(130)
[-0.759]
15.98
(155)
[1.389]
52.67
(158)
[1.387]
43.30
(151)
[-1.180]
18.32
(125)
[0.575]
40.72
(136)
[-0.853]
37.57
(136)
[-0.801]
52.24
(141)
[-0.919]
52.44
(146)
[-0.946]
54.30
(139)
[-0.808]
50.97
(147)
[-1.109]
10.55
(109)
[0.264]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  59.53 
 (110.81) 
 [-0.361] 
21.69
(112)
[-0.685]
0.00
(1)
[-0.717]
1.13
(53)
[-0.549]
74.73
(147)
[1.071]
74.25
(147)
[1.048]
36.86
(77)
[-0.612]
39.47
(77)
[-0.557]
49.86
(75)
[0.453]
62.88
(75)
[0.597]
66.94
(75)
[0.658]
37.12
(76)
[-0.593]
6.78
(89)
[-0.270]
63.05
(74)
[0.626]
44.31
(75)
[0.516]
5.66
(79)
[-0.367]
63.94
(75)
[0.630]
45.36
(152)
[1.227]
40.42
(153)
[1.455]
53.69
(125)
[0.736]
48.75
(139)
[0.863]
63.10
(111)
[-0.619]
50.09
(126)
[-0.751]
50.65
(120)
[-0.701]
34.78
(148)
[1.005]
59.74
(122)
[-0.674]
15.44
(152)
[1.259]
50.93
(154)
[1.260]
45.02
(148)
[-1.072]
17.99
(119)
[0.527]
42.09
(130)
[-0.780]
38.66
(128)
[-0.743]
53.44
(136)
[-0.838]
53.63
(138)
[-0.865]
55.18
(132)
[-0.748]
52.46
(144)
[-1.008]
10.36
(105)
[0.218]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  63.51 
 (94.69) 
 [-0.137] 
31.84
(89)
[-0.310]
0.00
(1)
[-0.717]
1.13
(50)
[-0.550]
62.76
(113)
[0.554]
63.11
(114)
[0.568]
32.63
(69)
[-0.726]
34.89
(69)
[-0.682]
54.09
(69)
[0.592]
66.74
(69)
[0.713]
69.96
(69)
[0.748]
33.26
(69)
[-0.708]
6.18
(84)
[-0.382]
66.85
(66)
[0.741]
50.11
(69)
[0.650]
4.83
(61)
[-0.579]
67.57
(68)
[0.738]
41.63
(142)
[0.930]
37.03
(147)
[1.145]
49.46
(98)
[0.487]
44.86
(118)
[0.605]
66.96
(95)
[-0.333]
54.32
(98)
[-0.491]
54.83
(98)
[-0.445]
31.14
(124)
[0.667]
63.87
(94)
[-0.370]
14.15
(145)
[0.948]
46.66
(144)
[0.948]
49.63
(137)
[-0.780]
16.34
(99)
[0.287]
47.05
(104)
[-0.519]
42.46
(102)
[-0.542]
57.35
(106)
[-0.575]
57.51
(107)
[-0.599]
59.10
(111)
[-0.480]
56.24
(120)
[-0.750]
9.91
(91)
[0.109]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  60.89 
 (104.72) 
 [-0.282] 
23.70
(104)
[-0.611]
0.00
(1)
[-0.717]
1.15
(55)
[-0.545]
72.43
(143)
[0.971]
72.07
(141)
[0.954]
35.26
(73)
[-0.655]
37.74
(73)
[-0.604]
51.28
(72)
[0.500]
64.25
(72)
[0.638]
68.36
(72)
[0.700]
35.75
(72)
[-0.634]
6.53
(87)
[-0.316]
64.33
(72)
[0.665]
46.38
(72)
[0.563]
5.74
(81)
[-0.346]
65.28
(72)
[0.670]
43.74
(148)
[1.098]
38.58
(150)
[1.287]
52.20
(112)
[0.648]
47.04
(131)
[0.750]
64.51
(101)
[-0.515]
51.73
(109)
[-0.650]
52.16
(109)
[-0.608]
33.30
(137)
[0.868]
61.23
(109)
[-0.564]
14.81
(147)
[1.108]
48.90
(147)
[1.112]
47.09
(143)
[-0.941]
17.50
(112)
[0.456]
43.91
(121)
[-0.685]
40.11
(115)
[-0.666]
54.96
(125)
[-0.735]
55.15
(131)
[-0.761]
56.38
(128)
[-0.666]
54.28
(135)
[-0.883]
10.17
(98)
[0.172]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  62.12 
 (100.47) 
 [-0.209] 
24.30
(102)
[-0.588]
0.00
(1)
[-0.717]
1.16
(57)
[-0.541]
72.06
(141)
[0.955]
71.44
(138)
[0.927]
33.22
(71)
[-0.710]
35.94
(72)
[-0.653]
52.65
(71)
[0.545]
65.56
(71)
[0.677]
69.70
(70)
[0.740]
34.44
(71)
[-0.673]
6.31
(85)
[-0.357]
65.52
(71)
[0.701]
48.34
(71)
[0.609]
5.83
(82)
[-0.322]
66.52
(71)
[0.707]
42.09
(145)
[0.967]
36.79
(146)
[1.123]
50.67
(105)
[0.558]
45.37
(123)
[0.639]
65.94
(99)
[-0.409]
53.40
(102)
[-0.548]
53.70
(103)
[-0.514]
31.83
(131)
[0.731]
62.77
(100)
[-0.451]
14.20
(146)
[0.960]
46.90
(145)
[0.966]
49.10
(138)
[-0.814]
17.01
(106)
[0.385]
45.73
(111)
[-0.589]
41.60
(106)
[-0.587]
56.51
(114)
[-0.631]
56.68
(116)
[-0.655]
57.55
(122)
[-0.586]
56.17
(121)
[-0.754]
10.04
(93)
[0.140]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  63.11 
 (96.08) 
 [-0.151] 
28.66
(96)
[-0.427]
0.00
(1)
[-0.717]
1.12
(49)
[-0.552]
66.64
(129)
[0.721]
67.23
(128)
[0.745]
32.80
(70)
[-0.721]
35.41
(70)
[-0.668]
53.43
(70)
[0.571]
65.97
(70)
[0.690]
69.39
(71)
[0.731]
34.03
(70)
[-0.685]
6.31
(86)
[-0.357]
65.88
(70)
[0.712]
48.95
(70)
[0.623]
5.54
(73)
[-0.397]
66.73
(70)
[0.713]
41.18
(140)
[0.894]
36.03
(145)
[1.053]
49.51
(99)
[0.490]
44.35
(115)
[0.572]
66.63
(96)
[-0.358]
54.26
(99)
[-0.495]
54.74
(99)
[-0.450]
31.10
(123)
[0.663]
63.51
(98)
[-0.397]
13.83
(143)
[0.870]
45.74
(142)
[0.881]
50.33
(135)
[-0.736]
16.60
(100)
[0.325]
47.00
(105)
[-0.522]
42.74
(101)
[-0.527]
57.53
(104)
[-0.563]
57.68
(105)
[-0.587]
58.50
(114)
[-0.521]
57.15
(117)
[-0.687]
9.80
(86)
[0.082]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  60.46 
 (105.89) 
 [-0.310] 
27.19
(97)
[-0.482]
0.00
(1)
[-0.717]
1.07
(46)
[-0.564]
67.54
(130)
[0.760]
68.79
(131)
[0.813]
36.45
(75)
[-0.623]
38.96
(76)
[-0.571]
50.84
(73)
[0.485]
63.37
(73)
[0.612]
66.60
(76)
[0.648]
36.63
(74)
[-0.608]
6.81
(90)
[-0.265]
63.64
(73)
[0.644]
45.06
(73)
[0.533]
4.60
(53)
[-0.637]
64.29
(73)
[0.640]
45.14
(151)
[1.209]
41.17
(154)
[1.524]
52.42
(113)
[0.661]
48.46
(136)
[0.844]
63.73
(105)
[-0.573]
50.81
(119)
[-0.706]
51.66
(113)
[-0.639]
34.43
(143)
[0.973]
60.50
(114)
[-0.618]
15.52
(153)
[1.278]
51.06
(155)
[1.270]
45.05
(147)
[-1.070]
17.37
(110)
[0.438]
43.23
(127)
[-0.721]
39.68
(120)
[-0.689]
54.16
(132)
[-0.789]
54.32
(135)
[-0.817]
56.28
(129)
[-0.673]
52.66
(142)
[-0.994]
10.20
(100)
[0.178]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  70.88 
 (62.08) 
 [0.292] 
45.18
(64)
[0.184]
0.00
(1)
[-0.717]
2.02
(89)
[-0.330]
48.09
(59)
[-0.080]
47.10
(58)
[-0.122]
25.49
(48)
[-0.918]
26.67
(49)
[-0.907]
61.09
(52)
[0.823]
72.68
(55)
[0.891]
75.83
(46)
[0.923]
27.32
(55)
[-0.886]
5.07
(63)
[-0.588]
72.06
(52)
[0.898]
59.01
(55)
[0.855]
5.07
(70)
[-0.517]
73.07
(52)
[0.903]
32.36
(77)
[0.191]
26.94
(90)
[0.223]
40.91
(65)
[-0.016]
35.49
(66)
[-0.015]
73.95
(67)
[0.184]
63.38
(66)
[0.065]
62.90
(66)
[0.051]
23.84
(67)
[-0.013]
70.18
(66)
[0.094]
10.86
(76)
[0.153]
35.92
(77)
[0.164]
60.50
(75)
[-0.094]
13.24
(61)
[-0.161]
58.19
(65)
[0.068]
52.21
(65)
[-0.026]
66.62
(64)
[0.050]
66.77
(64)
[0.035]
66.27
(64)
[0.008]
67.59
(66)
[0.025]
9.33
(60)
[-0.033]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  71.20 
 (59.47) 
 [0.310] 
46.12
(55)
[0.218]
0.00
(1)
[-0.717]
2.04
(91)
[-0.323]
47.36
(57)
[-0.112]
46.44
(53)
[-0.150]
25.26
(47)
[-0.924]
27.08
(52)
[-0.896]
61.50
(51)
[0.836]
73.15
(51)
[0.905]
76.25
(40)
[0.936]
26.85
(51)
[-0.900]
5.06
(61)
[-0.591]
72.35
(51)
[0.907]
59.72
(51)
[0.872]
4.96
(68)
[-0.544]
73.43
(51)
[0.914]
31.89
(72)
[0.154]
26.45
(85)
[0.178]
40.69
(64)
[-0.029]
35.25
(63)
[-0.031]
74.18
(64)
[0.201]
63.99
(64)
[0.102]
63.14
(65)
[0.065]
23.69
(65)
[-0.026]
70.04
(69)
[0.084]
10.73
(68)
[0.121]
35.33
(66)
[0.121]
60.87
(66)
[-0.071]
13.18
(60)
[-0.168]
58.56
(63)
[0.087]
52.82
(63)
[0.006]
66.94
(63)
[0.071]
67.12
(63)
[0.059]
66.16
(65)
[0.001]
68.46
(63)
[0.085]
9.30
(59)
[-0.041]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.35 
 (48.17) 
 [0.397] 
46.70
(51)
[0.240]
0.00
(1)
[-0.717]
0.00
(1)
[-0.828]
49.34
(64)
[-0.026]
48.93
(64)
[-0.043]
24.40
(40)
[-0.947]
26.26
(47)
[-0.918]
63.17
(38)
[0.891]
74.43
(43)
[0.943]
77.24
(30)
[0.965]
25.57
(43)
[-0.938]
5.14
(66)
[-0.575]
73.53
(40)
[0.942]
61.65
(43)
[0.916]
4.31
(36)
[-0.712]
74.37
(39)
[0.943]
30.57
(63)
[0.049]
25.78
(76)
[0.117]
38.36
(52)
[-0.166]
33.57
(51)
[-0.143]
76.05
(45)
[0.340]
66.07
(52)
[0.230]
65.31
(48)
[0.198]
22.01
(54)
[-0.183]
71.80
(51)
[0.213]
10.32
(57)
[0.023]
33.75
(59)
[0.005]
62.55
(57)
[0.036]
12.43
(50)
[-0.277]
60.75
(52)
[0.203]
54.90
(51)
[0.116]
68.67
(56)
[0.188]
68.84
(57)
[0.176]
67.37
(57)
[0.083]
70.65
(55)
[0.234]
8.76
(45)
[-0.170]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.26 
 (49.67) 
 [0.381] 
45.59
(61)
[0.199]
0.00
(1)
[-0.717]
1.22
(69)
[-0.526]
49.39
(65)
[-0.024]
48.56
(62)
[-0.059]
22.86
(29)
[-0.989]
24.69
(33)
[-0.961]
63.45
(33)
[0.901]
74.81
(37)
[0.954]
76.94
(33)
[0.956]
25.19
(37)
[-0.949]
4.76
(40)
[-0.646]
74.14
(31)
[0.960]
62.21
(37)
[0.929]
4.14
(28)
[-0.754]
74.93
(31)
[0.959]
31.04
(68)
[0.086]
26.13
(83)
[0.149]
38.86
(58)
[-0.136]
33.96
(57)
[-0.117]
75.68
(51)
[0.312]
65.44
(59)
[0.191]
64.94
(54)
[0.176]
22.51
(60)
[-0.137]
72.26
(46)
[0.247]
10.46
(61)
[0.057]
34.43
(65)
[0.055]
62.26
(61)
[0.017]
12.37
(47)
[-0.286]
60.38
(56)
[0.183]
54.15
(61)
[0.077]
68.22
(59)
[0.158]
68.36
(60)
[0.143]
68.16
(48)
[0.137]
68.84
(61)
[0.111]
8.80
(46)
[-0.161]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  73.41 
 (41.44) 
 [0.448] 
47.33
(50)
[0.263]
0.00
(1)
[-0.717]
1.24
(73)
[-0.522]
47.22
(55)
[-0.118]
47.02
(57)
[-0.125]
22.50
(28)
[-0.999]
23.52
(29)
[-0.993]
64.80
(29)
[0.945]
75.98
(29)
[0.989]
78.30
(25)
[0.997]
24.02
(29)
[-0.984]
4.78
(43)
[-0.642]
75.13
(26)
[0.990]
63.97
(29)
[0.970]
4.02
(25)
[-0.785]
75.84
(28)
[0.987]
29.52
(55)
[-0.035]
24.71
(62)
[0.019]
37.37
(44)
[-0.224]
32.56
(44)
[-0.210]
76.87
(40)
[0.400]
67.07
(42)
[0.291]
66.11
(46)
[0.247]
21.37
(48)
[-0.242]
72.90
(43)
[0.294]
9.90
(50)
[-0.078]
32.58
(52)
[-0.080]
64.08
(47)
[0.132]
11.91
(40)
[-0.353]
62.15
(43)
[0.276]
55.89
(45)
[0.169]
69.71
(43)
[0.258]
69.87
(44)
[0.247]
68.92
(44)
[0.189]
71.14
(51)
[0.268]
8.99
(53)
[-0.117]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  68.14 
 (77.97) 
 [0.139] 
41.33
(75)
[0.041]
0.00
(1)
[-0.717]
2.16
(96)
[-0.294]
51.50
(77)
[0.067]
51.73
(77)
[0.078]
29.17
(64)
[-0.819]
32.66
(64)
[-0.743]
57.86
(62)
[0.717]
69.80
(63)
[0.804]
71.75
(64)
[0.801]
30.20
(63)
[-0.800]
5.88
(79)
[-0.437]
69.15
(63)
[0.810]
54.70
(63)
[0.756]
4.69
(56)
[-0.615]
69.90
(63)
[0.808]
35.04
(102)
[0.405]
29.88
(125)
[0.491]
43.72
(78)
[0.149]
38.55
(82)
[0.187]
71.22
(82)
[-0.018]
60.30
(82)
[-0.124]
60.13
(81)
[-0.119]
25.82
(82)
[0.172]
67.97
(83)
[-0.069]
11.73
(107)
[0.363]
38.78
(102)
[0.373]
57.46
(103)
[-0.286]
14.49
(79)
[0.020]
54.24
(80)
[-0.141]
48.65
(80)
[-0.214]
63.44
(81)
[-0.164]
63.61
(81)
[-0.181]
63.29
(88)
[-0.195]
64.29
(84)
[-0.200]
10.09
(95)
[0.151]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  65.31 
 (88.28) 
 [-0.020] 
31.78
(90)
[-0.312]
0.00
(1)
[-0.717]
1.21
(67)
[-0.528]
63.82
(117)
[0.599]
63.11
(113)
[0.568]
29.42
(65)
[-0.812]
34.03
(66)
[-0.706]
54.66
(66)
[0.611]
67.47
(66)
[0.735]
71.21
(66)
[0.785]
32.53
(66)
[-0.730]
5.99
(81)
[-0.418]
66.39
(68)
[0.727]
51.21
(66)
[0.675]
6.45
(87)
[-0.165]
67.69
(66)
[0.742]
36.99
(120)
[0.560]
31.69
(133)
[0.657]
46.80
(88)
[0.331]
41.51
(95)
[0.383]
68.88
(86)
[-0.191]
57.65
(88)
[-0.287]
56.98
(92)
[-0.313]
28.19
(96)
[0.392]
65.03
(90)
[-0.285]
12.52
(128)
[0.554]
41.33
(126)
[0.559]
54.36
(120)
[-0.482]
15.89
(95)
[0.222]
50.48
(93)
[-0.339]
45.64
(93)
[-0.373]
60.60
(95)
[-0.356]
60.80
(95)
[-0.374]
59.91
(106)
[-0.425]
62.11
(94)
[-0.349]
10.09
(94)
[0.151]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  68.47 
 (75.08) 
 [0.157] 
37.35
(81)
[-0.106]
0.00
(1)
[-0.717]
1.96
(87)
[-0.344]
56.97
(91)
[0.303]
56.02
(90)
[0.262]
26.45
(56)
[-0.892]
29.56
(58)
[-0.828]
58.26
(59)
[0.730]
70.54
(58)
[0.827]
74.25
(60)
[0.876]
29.46
(58)
[-0.822]
5.42
(72)
[-0.524]
69.58
(59)
[0.823]
55.81
(58)
[0.781]
5.58
(76)
[-0.388]
70.82
(59)
[0.836]
34.16
(97)
[0.335]
28.76
(117)
[0.389]
43.22
(76)
[0.120]
37.83
(79)
[0.139]
71.37
(80)
[-0.007]
61.01
(76)
[-0.081]
60.56
(80)
[-0.093]
25.24
(81)
[0.118]
68.36
(77)
[-0.040]
11.47
(98)
[0.300]
37.87
(91)
[0.307]
58.36
(95)
[-0.229]
14.15
(74)
[-0.028]
55.29
(76)
[-0.085]
49.68
(76)
[-0.160]
64.29
(76)
[-0.107]
64.44
(76)
[-0.125]
63.86
(80)
[-0.156]
65.31
(79)
[-0.130]
10.13
(96)
[0.162]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  70.39 
 (64.78) 
 [0.275] 
42.69
(72)
[0.092]
0.00
(1)
[-0.717]
0.81
(35)
[-0.627]
52.13
(81)
[0.094]
51.87
(78)
[0.084]
27.14
(59)
[-0.874]
28.43
(56)
[-0.859]
60.92
(55)
[0.817]
72.82
(52)
[0.895]
75.08
(55)
[0.901]
27.18
(52)
[-0.890]
5.28
(71)
[-0.549]
71.92
(54)
[0.894]
59.24
(52)
[0.861]
4.56
(51)
[-0.647]
72.81
(54)
[0.896]
32.64
(79)
[0.213]
27.32
(100)
[0.258]
41.11
(69)
[-0.004]
35.80
(69)
[0.005]
73.72
(69)
[0.168]
63.29
(69)
[0.059]
62.68
(68)
[0.037]
23.79
(66)
[-0.017]
69.73
(71)
[0.061]
10.91
(78)
[0.166]
35.98
(78)
[0.168]
60.34
(77)
[-0.104]
13.31
(65)
[-0.150]
58.08
(66)
[0.062]
52.08
(66)
[-0.033]
66.55
(66)
[0.045]
66.73
(66)
[0.032]
65.63
(69)
[-0.035]
68.20
(64)
[0.067]
10.18
(99)
[0.174]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.70 
 (48.94) 
 [0.402] 
48.41
(42)
[0.303]
0.00
(1)
[-0.717]
2.16
(97)
[-0.293]
44.96
(40)
[-0.215]
44.22
(38)
[-0.246]
24.35
(39)
[-0.949]
25.82
(42)
[-0.930]
62.87
(43)
[0.882]
74.23
(46)
[0.937]
77.41
(28)
[0.970]
25.77
(46)
[-0.932]
5.24
(69)
[-0.558]
73.18
(46)
[0.932]
61.34
(46)
[0.909]
4.59
(52)
[-0.640]
74.15
(44)
[0.936]
29.91
(56)
[-0.004]
24.82
(65)
[0.028]
38.31
(51)
[-0.169]
33.21
(47)
[-0.167]
75.69
(50)
[0.313]
66.13
(50)
[0.233]
65.15
(51)
[0.188]
21.86
(53)
[-0.197]
71.53
(53)
[0.194]
10.03
(52)
[-0.048]
32.80
(53)
[-0.064]
63.46
(52)
[0.093]
12.41
(49)
[-0.279]
61.06
(49)
[0.219]
55.21
(47)
[0.133]
68.97
(51)
[0.208]
69.16
(51)
[0.198]
67.28
(59)
[0.077]
71.43
(49)
[0.287]
9.12
(55)
[-0.083]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  71.68 
 (55.94) 
 [0.332] 
48.14
(43)
[0.293]
0.00
(1)
[-0.717]
2.03
(90)
[-0.327]
44.01
(38)
[-0.256]
44.25
(39)
[-0.245]
23.46
(32)
[-0.973]
25.22
(37)
[-0.947]
62.37
(47)
[0.865]
73.92
(47)
[0.928]
76.20
(41)
[0.934]
26.08
(47)
[-0.923]
5.08
(64)
[-0.587]
73.36
(44)
[0.937]
60.88
(47)
[0.898]
4.22
(30)
[-0.734]
74.08
(45)
[0.934]
32.26
(75)
[0.183]
27.32
(99)
[0.257]
40.08
(63)
[-0.065]
35.14
(62)
[-0.039]
74.75
(62)
[0.243]
64.13
(63)
[0.111]
63.84
(61)
[0.108]
23.32
(64)
[-0.061]
71.55
(52)
[0.195]
10.85
(72)
[0.150]
35.82
(75)
[0.157]
60.71
(74)
[-0.081]
13.09
(59)
[-0.181]
58.26
(64)
[0.072]
52.27
(64)
[-0.023]
66.59
(65)
[0.048]
66.73
(65)
[0.032]
66.49
(62)
[0.023]
67.28
(70)
[0.004]
8.93
(51)
[-0.129]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.22 
 (51.44) 
 [0.376] 
45.78
(57)
[0.206]
0.00
(1)
[-0.717]
2.05
(92)
[-0.322]
48.06
(58)
[-0.081]
47.56
(59)
[-0.102]
23.42
(31)
[-0.974]
24.76
(34)
[-0.959]
63.16
(39)
[0.891]
74.49
(42)
[0.945]
76.85
(34)
[0.953]
25.51
(42)
[-0.940]
4.91
(50)
[-0.618]
73.71
(35)
[0.947]
61.74
(42)
[0.918]
4.35
(38)
[-0.701]
74.53
(35)
[0.947]
30.77
(64)
[0.065]
25.92
(79)
[0.130]
38.77
(57)
[-0.141]
33.93
(56)
[-0.119]
75.33
(57)
[0.287]
65.35
(60)
[0.185]
64.67
(57)
[0.159]
22.58
(61)
[-0.129]
71.87
(49)
[0.218]
10.34
(58)
[0.028]
33.96
(60)
[0.021]
62.53
(58)
[0.034]
12.51
(53)
[-0.266]
60.24
(59)
[0.176]
54.28
(59)
[0.084]
68.17
(60)
[0.155]
68.33
(61)
[0.141]
67.57
(54)
[0.097]
69.41
(60)
[0.150]
8.63
(41)
[-0.203]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  74.10 
 (37.78) 
 [0.492] 
49.08
(38)
[0.328]
0.00
(1)
[-0.717]
1.24
(74)
[-0.521]
45.21
(42)
[-0.204]
45.01
(43)
[-0.212]
23.21
(30)
[-0.980]
22.75
(28)
[-1.014]
65.06
(28)
[0.954]
76.11
(27)
[0.993]
78.75
(22)
[1.010]
23.89
(27)
[-0.988]
4.87
(48)
[-0.626]
75.05
(28)
[0.988]
64.17
(27)
[0.975]
4.41
(42)
[-0.685]
75.96
(26)
[0.990]
27.84
(45)
[-0.169]
22.89
(46)
[-0.148]
36.55
(39)
[-0.272]
31.60
(42)
[-0.273]
77.20
(39)
[0.425]
67.97
(39)
[0.346]
66.81
(42)
[0.290]
20.37
(43)
[-0.335]
73.38
(42)
[0.329]
9.51
(42)
[-0.172]
31.05
(43)
[-0.192]
65.42
(43)
[0.217]
11.72
(39)
[-0.380]
63.18
(39)
[0.330]
56.95
(39)
[0.225]
70.61
(40)
[0.319]
70.82
(40)
[0.312]
69.00
(43)
[0.194]
73.08
(40)
[0.400]
8.71
(44)
[-0.183]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  70.78 
 (62.22) 
 [0.284] 
46.30
(53)
[0.225]
0.00
(1)
[-0.717]
0.81
(34)
[-0.628]
47.30
(56)
[-0.114]
47.80
(60)
[-0.092]
24.54
(42)
[-0.944]
27.35
(53)
[-0.888]
61.83
(49)
[0.847]
73.73
(48)
[0.922]
75.54
(49)
[0.914]
26.27
(48)
[-0.917]
5.07
(62)
[-0.588]
72.94
(47)
[0.924]
60.59
(48)
[0.892]
4.40
(40)
[-0.689]
73.65
(49)
[0.921]
33.39
(89)
[0.274]
29.10
(121)
[0.420]
40.94
(67)
[-0.014]
36.65
(75)
[0.062]
73.98
(66)
[0.187]
63.35
(67)
[0.063]
62.75
(67)
[0.041]
24.33
(73)
[0.033]
70.16
(68)
[0.093]
11.48
(99)
[0.302]
37.75
(90)
[0.298]
58.52
(93)
[-0.219]
13.31
(64)
[-0.150]
57.59
(68)
[0.036]
51.91
(68)
[-0.042]
66.05
(68)
[0.011]
66.17
(68)
[-0.006]
65.76
(67)
[-0.026]
66.81
(71)
[-0.028]
8.94
(52)
[-0.129]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  71.86 
 (54.11) 
 [0.349] 
47.65
(49)
[0.275]
0.00
(1)
[-0.717]
0.82
(36)
[-0.626]
46.50
(50)
[-0.149]
46.32
(52)
[-0.155]
23.88
(35)
[-0.961]
26.01
(44)
[-0.925]
62.78
(46)
[0.879]
74.67
(40)
[0.950]
77.13
(31)
[0.962]
25.33
(40)
[-0.945]
4.94
(53)
[-0.613]
73.63
(38)
[0.945]
62.00
(40)
[0.924]
4.54
(50)
[-0.652]
74.48
(37)
[0.946]
31.69
(70)
[0.138]
27.30
(98)
[0.256]
39.73
(61)
[-0.085]
35.34
(64)
[-0.025]
74.98
(61)
[0.261]
64.84
(62)
[0.154]
63.81
(62)
[0.107]
23.18
(62)
[-0.074]
71.00
(60)
[0.154]
10.91
(79)
[0.167]
35.86
(76)
[0.160]
60.41
(76)
[-0.100]
12.84
(57)
[-0.218]
59.34
(62)
[0.128]
53.53
(62)
[0.044]
67.50
(62)
[0.110]
67.64
(62)
[0.095]
66.79
(61)
[0.044]
68.78
(62)
[0.107]
8.81
(47)
[-0.158]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.60 
 (47.61) 
 [0.398] 
47.81
(48)
[0.281]
0.00
(1)
[-0.717]
0.81
(33)
[-0.628]
46.59
(51)
[-0.145]
46.16
(51)
[-0.163]
23.59
(34)
[-0.969]
24.06
(30)
[-0.978]
63.36
(35)
[0.898]
75.22
(32)
[0.967]
77.52
(27)
[0.973]
24.78
(32)
[-0.962]
4.93
(52)
[-0.616]
73.94
(33)
[0.954]
62.83
(32)
[0.944]
4.40
(41)
[-0.688]
74.82
(32)
[0.956]
30.07
(58)
[0.009]
25.86
(77)
[0.124]
38.68
(55)
[-0.147]
34.48
(61)
[-0.083]
75.46
(56)
[0.296]
65.89
(54)
[0.219]
64.51
(59)
[0.150]
22.21
(59)
[-0.164]
71.44
(56)
[0.187]
10.39
(60)
[0.041]
34.10
(63)
[0.031]
62.15
(62)
[0.010]
12.44
(51)
[-0.275]
60.77
(51)
[0.204]
54.79
(56)
[0.111]
68.67
(54)
[0.188]
68.86
(56)
[0.178]
67.56
(55)
[0.096]
70.53
(57)
[0.226]
8.86
(50)
[-0.148]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  74.99 
 (31.64) 
 [0.544] 
49.41
(36)
[0.340]
0.00
(1)
[-0.717]
0.84
(39)
[-0.622]
45.40
(44)
[-0.196]
45.56
(46)
[-0.188]
21.42
(22)
[-1.028]
20.29
(18)
[-1.082]
66.56
(18)
[1.003]
77.38
(18)
[1.031]
79.00
(20)
[1.017]
22.62
(18)
[-1.026]
4.40
(33)
[-0.714]
76.32
(17)
[1.026]
66.07
(18)
[1.018]
4.71
(58)
[-0.609]
77.18
(17)
[1.027]
26.54
(40)
[-0.272]
22.03
(42)
[-0.227]
35.51
(34)
[-0.333]
31.00
(34)
[-0.313]
78.04
(33)
[0.487]
69.06
(36)
[0.413]
68.45
(33)
[0.391]
19.48
(36)
[-0.418]
74.28
(36)
[0.396]
9.26
(39)
[-0.232]
30.36
(40)
[-0.242]
66.17
(40)
[0.264]
11.32
(33)
[-0.437]
64.55
(34)
[0.403]
58.04
(36)
[0.283]
71.73
(34)
[0.394]
72.00
(35)
[0.393]
70.37
(34)
[0.287]
74.18
(36)
[0.476]
8.29
(31)
[-0.286]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  74.97 
 (32.56) 
 [0.543] 
49.38
(37)
[0.339]
0.00
(1)
[-0.717]
0.84
(39)
[-0.622]
45.40
(44)
[-0.196]
45.63
(47)
[-0.185]
21.49
(23)
[-1.026]
20.34
(19)
[-1.080]
66.55
(19)
[1.003]
77.36
(19)
[1.031]
78.99
(21)
[1.017]
22.64
(19)
[-1.026]
4.39
(32)
[-0.715]
76.31
(18)
[1.026]
66.04
(19)
[1.018]
4.73
(60)
[-0.605]
77.17
(18)
[1.026]
26.56
(41)
[-0.271]
22.03
(43)
[-0.226]
35.54
(35)
[-0.331]
31.01
(35)
[-0.312]
78.02
(34)
[0.486]
69.02
(37)
[0.411]
68.44
(34)
[0.391]
19.50
(37)
[-0.416]
74.28
(37)
[0.396]
9.27
(40)
[-0.231]
30.37
(41)
[-0.241]
66.15
(41)
[0.263]
11.33
(34)
[-0.436]
64.52
(35)
[0.401]
58.00
(37)
[0.281]
71.71
(36)
[0.393]
71.98
(36)
[0.391]
70.35
(35)
[0.287]
74.14
(37)
[0.473]
8.29
(32)
[-0.285]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  76.80 
 (27.97) 
 [0.643] 
53.09
(30)
[0.476]
0.00
(1)
[-0.717]
3.46
(112)
[0.027]
38.88
(31)
[-0.478]
38.60
(31)
[-0.488]
19.68
(19)
[-1.075]
21.38
(20)
[-1.052]
67.81
(15)
[1.044]
78.53
(15)
[1.066]
79.10
(19)
[1.020]
21.47
(15)
[-1.061]
4.12
(30)
[-0.766]
77.01
(15)
[1.047]
67.80
(15)
[1.058]
4.24
(33)
[-0.729]
77.84
(15)
[1.047]
24.04
(30)
[-0.472]
19.66
(30)
[-0.443]
33.16
(29)
[-0.471]
28.79
(29)
[-0.460]
79.71
(29)
[0.611]
71.38
(29)
[0.555]
70.30
(29)
[0.505]
17.71
(29)
[-0.583]
75.79
(31)
[0.507]
8.43
(30)
[-0.434]
27.49
(30)
[-0.452]
69.12
(29)
[0.451]
10.32
(29)
[-0.582]
67.66
(29)
[0.567]
61.19
(29)
[0.450]
74.21
(29)
[0.561]
74.46
(29)
[0.561]
71.84
(30)
[0.388]
77.60
(29)
[0.709]
8.33
(33)
[-0.276]
 1.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  76.32 
 (29.11) 
 [0.627] 
52.48
(31)
[0.454]
0.00
(1)
[-0.717]
1.94
(85)
[-0.349]
41.55
(32)
[-0.363]
40.97
(32)
[-0.386]
20.74
(20)
[-1.046]
22.10
(25)
[-1.032]
67.01
(17)
[1.018]
77.86
(17)
[1.046]
78.34
(24)
[0.998]
22.14
(17)
[-1.041]
4.40
(34)
[-0.714]
76.21
(19)
[1.023]
66.79
(17)
[1.035]
4.47
(47)
[-0.670]
77.05
(19)
[1.023]
23.93
(29)
[-0.480]
19.69
(31)
[-0.440]
33.50
(30)
[-0.451]
29.26
(30)
[-0.428]
79.35
(30)
[0.584]
71.06
(30)
[0.535]
69.71
(30)
[0.468]
17.86
(30)
[-0.569]
75.22
(34)
[0.465]
8.41
(29)
[-0.437]
27.51
(31)
[-0.451]
68.94
(30)
[0.439]
10.62
(30)
[-0.538]
67.19
(30)
[0.542]
60.90
(30)
[0.434]
73.94
(30)
[0.543]
74.22
(30)
[0.545]
71.09
(32)
[0.337]
77.92
(28)
[0.731]
8.50
(37)
[-0.234]
 1.  borkojos's coocurrence&naive bayes   [normal] CL 1 0 1 0  50.19 
 (99.25) 
 [-0.356] 
33.93
(85)
[-0.232]
0.00
(1)
[-0.717]
0.00
(1)
[-0.828]
61.92
(107)
[0.517]
62.70
(110)
[0.550]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
0.00
(159)
[-1.190]
0.00
(159)
[-1.285]
0.00
(159)
[-1.338]
100.00
(159)
[1.287]
0.17
(5)
[-1.502]
0.00
(159)
[-1.273]
-0.41
(96)
[-0.518]
0.11
(4)
[-1.784]
0.00
(159)
[-1.289]
36.08
(114)
[0.488]
29.83
(124)
[0.487]
46.30
(86)
[0.301]
40.05
(88)
[0.287]
69.94
(85)
[-0.112]
57.85
(87)
[-0.275]
58.91
(84)
[-0.194]
27.06
(89)
[0.287]
66.15
(86)
[-0.202]
12.12
(121)
[0.457]
39.84
(112)
[0.450]
56.07
(109)
[-0.374]
15.51
(91)
[0.169]
51.78
(91)
[-0.270]
46.32
(88)
[-0.338]
61.63
(89)
[-0.286]
61.86
(91)
[-0.301]
62.01
(95)
[-0.282]
62.15
(93)
[-0.346]
9.79
(85)
[0.079]
 1.  borkojos's coocurrence&naive bayes   [normal] CL 1 0 1 0  51.11 
 (96.61) 
 [-0.405] 
38.14
(80)
[-0.077]
0.00
(1)
[-0.717]
1.00
(45)
[-0.582]
56.48
(90)
[0.282]
56.87
(92)
[0.299]
98.81
(136)
[1.058]
98.52
(136)
[1.059]
2.63
(142)
[-1.103]
4.58
(141)
[-1.148]
8.28
(139)
[-1.091]
95.42
(141)
[1.150]
14.00
(128)
[1.074]
4.78
(141)
[-1.129]
-32.62
(148)
[-1.262]
12.05
(150)
[1.268]
5.48
(140)
[-1.124]
33.56
(91)
[0.287]
27.50
(102)
[0.274]
43.83
(79)
[0.156]
37.77
(78)
[0.135]
72.05
(77)
[0.044]
60.80
(79)
[-0.094]
61.16
(76)
[-0.056]
25.00
(78)
[0.096]
68.01
(80)
[-0.065]
11.39
(92)
[0.281]
37.35
(86)
[0.269]
58.71
(91)
[-0.207]
14.49
(80)
[0.021]
54.92
(77)
[-0.105]
49.11
(77)
[-0.190]
64.13
(77)
[-0.118]
64.34
(77)
[-0.131]
64.06
(79)
[-0.142]
65.05
(80)
[-0.148]
9.56
(72)
[0.022]
 1.  borkojos's cooccurence&naive bayes   [normal] CL 1 0 1 0  68.41 
 (71.94) 
 [0.168] 
38.14
(79)
[-0.077]
0.00
(1)
[-0.717]
0.00
(1)
[-0.828]
57.67
(93)
[0.334]
58.02
(94)
[0.349]
26.96
(58)
[-0.879]
31.01
(63)
[-0.788]
58.42
(58)
[0.735]
70.14
(59)
[0.815]
74.51
(58)
[0.883]
29.86
(59)
[-0.810]
4.95
(55)
[-0.611]
69.65
(58)
[0.825]
55.22
(59)
[0.768]
6.47
(88)
[-0.159]
70.88
(58)
[0.838]
33.74
(93)
[0.301]
27.62
(105)
[0.285]
43.86
(80)
[0.158]
37.74
(77)
[0.134]
72.00
(79)
[0.040]
60.71
(80)
[-0.099]
61.11
(77)
[-0.059]
25.06
(80)
[0.101]
67.97
(82)
[-0.068]
11.40
(94)
[0.284]
37.41
(87)
[0.273]
58.70
(92)
[-0.207]
14.46
(78)
[0.017]
54.87
(78)
[-0.107]
49.05
(78)
[-0.193]
64.07
(78)
[-0.122]
64.27
(78)
[-0.137]
64.09
(78)
[-0.140]
64.84
(82)
[-0.162]
9.59
(73)
[0.030]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 1.  borkojos's cooccurence&naive bayes   [normal] CL 1 0 1 0  69.38 
 (68.03) 
 [0.216] 
39.12
(76)
[-0.040]
0.00
(1)
[-0.717]
1.92
(84)
[-0.353]
54.14
(82)
[0.181]
54.79
(83)
[0.209]
26.75
(57)
[-0.884]
29.46
(57)
[-0.831]
59.27
(57)
[0.763]
70.76
(57)
[0.833]
75.10
(54)
[0.901]
29.24
(57)
[-0.828]
4.85
(47)
[-0.629]
70.29
(57)
[0.844]
56.14
(57)
[0.789]
6.65
(89)
[-0.113]
71.51
(57)
[0.857]
32.19
(74)
[0.178]
25.91
(78)
[0.128]
42.77
(75)
[0.094]
36.48
(73)
[0.050]
72.83
(71)
[0.102]
61.79
(75)
[-0.033]
62.21
(72)
[0.008]
24.01
(72)
[0.003]
69.08
(76)
[0.013]
10.89
(77)
[0.160]
35.76
(73)
[0.153]
60.31
(78)
[-0.106]
14.22
(75)
[-0.018]
56.17
(75)
[-0.039]
50.26
(75)
[-0.129]
65.23
(73)
[-0.044]
65.48
(73)
[-0.054]
64.84
(77)
[-0.089]
66.61
(72)
[-0.042]
9.39
(63)
[-0.019]
 1.  jirkujak's LBP 3,1  [normal] CL 1 0 1 0  48.96 
 (128.56) 
 [-0.964] 
12.16
(144)
[-1.038]
0.00
(1)
[-0.717]
9.67
(149)
[1.563]
75.55
(148)
[1.106]
74.24
(146)
[1.047]
72.24
(83)
[0.342]
51.36
(82)
[-0.231]
26.31
(83)
[-0.323]
40.38
(83)
[-0.076]
51.72
(79)
[0.204]
59.62
(83)
[0.080]
10.11
(96)
[0.351]
35.36
(83)
[-0.208]
10.56
(85)
[-0.264]
17.37
(163)
[2.626]
39.04
(83)
[-0.118]
37.54
(128)
[0.604]
31.64
(132)
[0.652]
63.95
(160)
[1.339]
58.04
(160)
[1.479]
50.06
(159)
[-1.584]
41.51
(159)
[-1.276]
38.46
(159)
[-1.449]
37.57
(156)
[1.265]
45.85
(159)
[-1.695]
14.95
(149)
[1.142]
50.03
(151)
[1.194]
36.86
(159)
[-1.587]
30.94
(161)
[2.399]
24.97
(160)
[-1.683]
29.64
(159)
[-1.221]
44.62
(159)
[-1.432]
46.39
(159)
[-1.360]
36.80
(161)
[-2.000]
59.78
(103)
[-0.508]
12.95
(144)
[0.849]
 1.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.05 
 (96.11) 
 [-0.317] 
39.06
(78)
[-0.043]
0.00
(1)
[-0.717]
1.18
(62)
[-0.537]
55.25
(87)
[0.229]
55.82
(88)
[0.254]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
7.12
(137)
[-0.955]
8.30
(137)
[-1.036]
8.54
(137)
[-1.083]
91.70
(137)
[1.039]
0.50
(18)
[-1.440]
8.25
(137)
[-1.025]
6.26
(89)
[-0.364]
2.18
(18)
[-1.255]
8.33
(136)
[-1.039]
35.68
(107)
[0.456]
30.07
(127)
[0.509]
46.30
(87)
[0.301]
40.69
(91)
[0.329]
68.75
(89)
[-0.201]
57.90
(86)
[-0.271]
58.28
(88)
[-0.233]
27.78
(94)
[0.354]
66.10
(88)
[-0.206]
12.65
(131)
[0.586]
40.71
(118)
[0.514]
54.90
(118)
[-0.447]
15.36
(87)
[0.147]
51.99
(90)
[-0.259]
46.85
(85)
[-0.309]
61.59
(91)
[-0.289]
61.86
(90)
[-0.301]
62.72
(91)
[-0.233]
61.55
(98)
[-0.387]
8.55
(40)
[-0.222]
 1.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.07 
 (95.42) 
 [-0.316] 
39.07
(77)
[-0.042]
0.00
(1)
[-0.717]
1.18
(61)
[-0.537]
55.25
(87)
[0.229]
55.82
(89)
[0.254]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
7.12
(136)
[-0.955]
8.30
(136)
[-1.036]
8.54
(138)
[-1.083]
91.70
(136)
[1.039]
0.50
(19)
[-1.440]
8.25
(136)
[-1.025]
6.26
(90)
[-0.364]
2.18
(19)
[-1.255]
8.33
(137)
[-1.039]
35.65
(106)
[0.453]
30.02
(126)
[0.504]
46.27
(85)
[0.299]
40.64
(90)
[0.326]
68.76
(88)
[-0.200]
57.93
(85)
[-0.269]
58.31
(86)
[-0.231]
27.73
(93)
[0.350]
66.12
(87)
[-0.204]
12.63
(130)
[0.582]
40.66
(116)
[0.510]
54.96
(116)
[-0.444]
15.35
(86)
[0.145]
52.03
(89)
[-0.257]
46.89
(84)
[-0.307]
61.63
(90)
[-0.286]
61.89
(89)
[-0.299]
62.74
(90)
[-0.232]
61.59
(97)
[-0.384]
8.52
(38)
[-0.230]
 1.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  54.85 
 (81.69) 
 [-0.145] 
42.77
(71)
[0.095]
0.00
(1)
[-0.717]
2.38
(100)
[-0.239]
50.32
(71)
[0.016]
50.77
(72)
[0.036]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
9.18
(124)
[-0.888]
10.42
(133)
[-0.973]
10.90
(135)
[-1.013]
89.58
(133)
[0.976]
0.44
(16)
[-1.452]
10.36
(134)
[-0.961]
7.88
(87)
[-0.326]
2.27
(20)
[-1.233]
10.49
(134)
[-0.974]
30.98
(66)
[0.081]
24.75
(63)
[0.022]
42.42
(73)
[0.073]
36.19
(71)
[0.031]
72.19
(75)
[0.054]
62.08
(73)
[-0.015]
62.06
(73)
[-0.001]
24.40
(74)
[0.040]
69.71
(72)
[0.060]
10.85
(74)
[0.152]
35.33
(67)
[0.121]
60.78
(67)
[-0.076]
14.27
(76)
[-0.011]
56.22
(74)
[-0.036]
50.83
(74)
[-0.099]
65.18
(75)
[-0.047]
65.46
(75)
[-0.055]
65.01
(76)
[-0.078]
66.50
(75)
[-0.049]
8.50
(35)
[-0.235]
 1.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  54.85 
 (82.08) 
 [-0.146] 
42.77
(70)
[0.095]
0.00
(1)
[-0.717]
2.38
(99)
[-0.239]
50.32
(71)
[0.016]
50.77
(71)
[0.036]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
9.17
(125)
[-0.888]
10.41
(134)
[-0.973]
10.90
(136)
[-1.013]
89.59
(134)
[0.976]
0.44
(17)
[-1.452]
10.36
(135)
[-0.961]
7.87
(88)
[-0.326]
2.27
(21)
[-1.233]
10.49
(135)
[-0.974]
30.99
(67)
[0.082]
24.77
(64)
[0.024]
42.42
(74)
[0.073]
36.19
(72)
[0.031]
72.19
(76)
[0.054]
62.07
(74)
[-0.016]
62.06
(74)
[-0.001]
24.40
(74)
[0.040]
69.69
(73)
[0.058]
10.86
(75)
[0.153]
35.36
(68)
[0.123]
60.76
(69)
[-0.078]
14.27
(77)
[-0.011]
56.23
(73)
[-0.036]
50.84
(73)
[-0.098]
65.18
(74)
[-0.047]
65.47
(74)
[-0.054]
65.01
(75)
[-0.078]
66.51
(74)
[-0.049]
8.50
(36)
[-0.234]
 1.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  55.15 
 (79.19) 
 [-0.116] 
42.19
(74)
[0.073]
0.00
(1)
[-0.717]
2.42
(102)
[-0.230]
51.41
(75)
[0.063]
51.36
(74)
[0.062]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
9.31
(122)
[-0.883]
10.30
(135)
[-0.977]
11.15
(134)
[-1.005]
89.70
(135)
[0.979]
0.39
(12)
[-1.460]
10.44
(133)
[-0.959]
7.91
(86)
[-0.326]
2.12
(17)
[-1.271]
10.57
(133)
[-0.972]
30.15
(61)
[0.015]
23.97
(53)
[-0.049]
41.72
(70)
[0.032]
35.54
(68)
[-0.012]
72.56
(73)
[0.082]
62.67
(70)
[0.021]
62.59
(71)
[0.032]
23.89
(70)
[-0.008]
70.27
(65)
[0.101]
10.51
(63)
[0.068]
34.19
(64)
[0.037]
61.95
(64)
[-0.002]
14.12
(73)
[-0.034]
56.87
(71)
[-0.002]
51.44
(70)
[-0.067]
65.73
(71)
[-0.010]
66.03
(71)
[-0.016]
65.34
(71)
[-0.055]
67.35
(68)
[0.009]
7.66
(29)
[-0.439]
 1.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.49 
 (88.75) 
 [-0.320] 
42.19
(73)
[0.073]
0.00
(1)
[-0.717]
2.41
(101)
[-0.232]
51.41
(75)
[0.063]
51.41
(75)
[0.064]
97.97
(135)
[1.036]
98.38
(134)
[1.056]
2.69
(141)
[-1.101]
4.97
(140)
[-1.136]
6.86
(141)
[-1.133]
95.03
(140)
[1.138]
15.57
(158)
[1.367]
4.80
(140)
[-1.129]
-34.39
(150)
[-1.303]
12.79
(156)
[1.457]
5.29
(141)
[-1.130]
30.12
(59)
[0.013]
23.82
(52)
[-0.063]
41.73
(71)
[0.032]
35.43
(65)
[-0.020]
72.58
(72)
[0.083]
62.64
(71)
[0.019]
62.66
(69)
[0.036]
23.85
(68)
[-0.012]
70.30
(64)
[0.103]
10.49
(62)
[0.064]
33.98
(61)
[0.022]
62.06
(63)
[0.004]
14.07
(72)
[-0.040]
56.97
(70)
[0.003]
51.54
(69)
[-0.061]
65.80
(70)
[-0.005]
66.11
(69)
[-0.011]
65.48
(70)
[-0.045]
67.35
(69)
[0.009]
7.64
(28)
[-0.443]
 1.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.09 
 (43.11) 
 [0.448] 
46.31
(52)
[0.226]
0.00
(1)
[-0.717]
4.18
(117)
[0.205]
45.45
(46)
[-0.194]
46.02
(49)
[-0.169]
14.57
(15)
[-1.213]
17.45
(17)
[-1.159]
65.34
(25)
[0.963]
76.21
(25)
[0.996]
79.78
(17)
[1.041]
23.79
(25)
[-0.991]
5.52
(73)
[-0.505]
75.19
(24)
[0.992]
64.32
(25)
[0.978]
6.15
(83)
[-0.241]
76.41
(23)
[1.004]
26.29
(39)
[-0.292]
21.05
(37)
[-0.316]
36.76
(42)
[-0.260]
31.51
(40)
[-0.279]
76.21
(42)
[0.352]
66.90
(44)
[0.281]
66.93
(39)
[0.298]
20.33
(41)
[-0.339]
75.55
(32)
[0.489]
8.97
(36)
[-0.302]
29.65
(38)
[-0.294]
66.69
(37)
[0.297]
13.53
(68)
[-0.119]
60.15
(60)
[0.171]
54.81
(55)
[0.112]
68.95
(52)
[0.207]
69.28
(50)
[0.206]
68.26
(47)
[0.144]
70.98
(52)
[0.256]
9.74
(84)
[0.066]
 1.  mahelpet's noname   [normal] 1 0 0 0  39.59 
 (138.36) 
 [-1.573] 
3.83
(163)
[-1.346]
0.00
(1)
[-0.717]
12.17
(158)
[2.182]
85.20
(162)
[1.523]
85.02
(162)
[1.512]
78.47
(84)
[0.510]
72.17
(84)
[0.338]
21.29
(84)
[-0.488]
36.59
(84)
[-0.190]
34.58
(84)
[-0.307]
63.41
(84)
[0.193]
15.70
(162)
[1.391]
31.91
(84)
[-0.312]
4.88
(91)
[-0.396]
14.13
(161)
[1.799]
33.63
(84)
[-0.280]
53.56
(163)
[1.880]
49.11
(163)
[2.250]
75.05
(163)
[1.992]
70.61
(163)
[2.312]
36.59
(163)
[-2.582]
28.80
(163)
[-2.056]
26.36
(163)
[-2.191]
50.56
(163)
[2.474]
34.75
(163)
[-2.513]
20.67
(163)
[2.523]
68.12
(163)
[2.516]
15.50
(163)
[-2.936]
34.56
(162)
[2.922]
12.57
(163)
[-2.336]
21.60
(163)
[-1.646]
34.65
(163)
[-2.104]
35.98
(163)
[-2.072]
30.24
(163)
[-2.447]
44.75
(163)
[-1.534]
14.79
(153)
[1.296]
 1.  connetwork12's conn col-noblur  [normal] CL 1 0 0 0  90.41 
 (21.39) 
 [1.430] 
84.57
(24)
[1.641]
0.00
(1)
[-0.717]
1.70
(81)
[-0.409]
9.50
(24)
[-1.747]
10.22
(24)
[-1.711]
7.00
(11)
[-1.416]
5.34
(10)
[-1.491]
86.21
(11)
[1.651]
92.02
(11)
[1.470]
92.68
(11)
[1.425]
7.98
(11)
[-1.464]
1.70
(26)
[-1.216]
91.72
(11)
[1.490]
88.03
(11)
[1.526]
2.08
(16)
[-1.281]
92.02
(11)
[1.472]
11.76
(24)
[-1.449]
8.61
(24)
[-1.453]
16.45
(24)
[-1.454]
13.30
(24)
[-1.486]
92.02
(23)
[1.522]
86.73
(24)
[1.497]
86.36
(24)
[1.490]
7.50
(24)
[-1.534]
88.77
(23)
[1.462]
4.31
(24)
[-1.428]
14.50
(24)
[-1.400]
84.01
(24)
[1.391]
4.69
(23)
[-1.397]
85.54
(24)
[1.509]
80.13
(24)
[1.452]
88.56
(24)
[1.529]
88.61
(24)
[1.529]
87.65
(24)
[1.465]
89.66
(24)
[1.532]
3.86
(23)
[-1.363]
 1.  huangyuan's EWT-FCNT   [normal] CL 1 0 0 0  98.43 
 (2.14) 
 [1.936] 
98.45
(1)
[2.154]
0.00
(1)
[-0.717]
0.00
(1)
[-0.828]
0.37
(3)
[-2.141]
0.46
(3)
[-2.131]
0.93
(4)
[-1.580]
1.05
(2)
[-1.608]
97.67
(1)
[2.028]
98.78
(1)
[1.672]
98.81
(1)
[1.608]
1.22
(1)
[-1.666]
0.25
(7)
[-1.487]
98.76
(1)
[1.702]
98.17
(1)
[1.760]
0.24
(6)
[-1.751]
98.78
(1)
[1.675]
2.23
(3)
[-2.209]
1.68
(5)
[-2.087]
2.88
(1)
[-2.252]
2.33
(1)
[-2.213]
98.78
(1)
[2.023]
97.69
(1)
[2.169]
97.67
(1)
[2.183]
1.21
(1)
[-2.119]
97.86
(1)
[2.131]
1.02
(3)
[-2.223]
3.33
(5)
[-2.217]
96.32
(5)
[2.169]
0.74
(3)
[-1.967]
97.61
(1)
[2.145]
96.31
(1)
[2.308]
98.09
(1)
[2.170]
98.09
(1)
[2.177]
98.14
(5)
[2.181]
98.04
(1)
[2.104]
0.60
(1)
[-2.156]
 1.  huangyuan's EWT-FCNT-NR   [normal] CL 1 0 0 0  97.95 
 (6.44) 
 [1.901] 
98.11
(2)
[2.142]
0.00
(1)
[-0.717]
0.00
(1)
[-0.828]
0.49
(4)
[-2.136]
0.46
(4)
[-2.131]
1.16
(5)
[-1.574]
1.56
(5)
[-1.594]
97.01
(3)
[2.007]
98.43
(2)
[1.661]
98.46
(2)
[1.598]
1.57
(2)
[-1.656]
0.33
(11)
[-1.471]
98.40
(2)
[1.691]
97.65
(2)
[1.748]
0.28
(7)
[-1.742]
98.42
(2)
[1.664]
2.85
(9)
[-2.160]
2.23
(10)
[-2.036]
3.63
(8)
[-2.208]
3.02
(9)
[-2.167]
98.43
(6)
[1.997]
97.08
(8)
[2.131]
97.01
(8)
[2.143]
1.57
(8)
[-2.085]
97.28
(7)
[2.088]
1.31
(9)
[-2.153]
4.24
(9)
[-2.150]
95.30
(9)
[2.104]
0.99
(9)
[-1.931]
96.84
(8)
[2.104]
95.17
(9)
[2.248]
97.47
(8)
[2.129]
97.48
(8)
[2.136]
97.53
(8)
[2.139]
97.43
(8)
[2.062]
1.71
(19)
[-1.887]
 1.  huangyuan's unet deepv  [normal] CL 1 0 0 0  71.01 
 (55.92) 
 [0.961] 
94.18
(20)
[1.996]
0.00
(1)
[-0.717]
1.18
(59)
[-0.537]
3.42
(20)
[-2.009]
3.24
(20)
[-2.012]
99.95
(145)
[1.089]
99.94
(146)
[1.098]
0.82
(146)
[-1.163]
1.29
(145)
[-1.246]
1.30
(151)
[-1.299]
98.71
(145)
[1.248]
15.52
(156)
[1.359]
1.20
(144)
[-1.237]
-38.50
(153)
[-1.398]
11.65
(137)
[1.166]
1.25
(146)
[-1.251]
3.50
(14)
[-2.108]
2.47
(13)
[-2.015]
5.20
(15)
[-2.116]
4.17
(15)
[-2.091]
97.40
(13)
[1.921]
95.73
(16)
[2.048]
95.54
(16)
[2.053]
2.41
(16)
[-2.007]
96.45
(12)
[2.027]
1.45
(12)
[-2.119]
4.78
(12)
[-2.111]
94.75
(12)
[2.069]
1.35
(14)
[-1.879]
95.71
(14)
[2.044]
93.63
(14)
[2.166]
96.56
(14)
[2.068]
96.58
(14)
[2.074]
96.39
(14)
[2.061]
96.82
(12)
[2.021]
1.70
(17)
[-1.889]
 1.  huangyuan's unet deepv21  [normal] CL 1 0 0 0  96.66 
 (13.92) 
 [1.828] 
94.18
(20)
[1.996]
0.00
(1)
[-0.717]
1.18
(59)
[-0.537]
3.42
(20)
[-2.009]
3.24
(20)
[-2.012]
3.13
(9)
[-1.521]
1.32
(3)
[-1.601]
94.53
(7)
[1.925]
96.23
(8)
[1.596]
97.01
(8)
[1.554]
3.77
(8)
[-1.590]
0.58
(20)
[-1.425]
96.24
(8)
[1.626]
94.35
(8)
[1.672]
1.07
(15)
[-1.540]
96.41
(8)
[1.604]
3.50
(14)
[-2.108]
2.47
(13)
[-2.015]
5.20
(15)
[-2.116]
4.17
(15)
[-2.091]
97.40
(13)
[1.921]
95.73
(16)
[2.048]
95.54
(16)
[2.053]
2.41
(16)
[-2.007]
96.45
(12)
[2.027]
1.45
(12)
[-2.119]
4.78
(12)
[-2.111]
94.75
(12)
[2.069]
1.35
(14)
[-1.879]
95.71
(14)
[2.044]
93.63
(14)
[2.166]
96.56
(14)
[2.068]
96.58
(14)
[2.074]
96.39
(14)
[2.061]
96.82
(12)
[2.021]
1.70
(17)
[-1.889]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 46.  huangyuan's unet pspnet  [normal] CL 1 0 0 0  70.80 
 (58.06) 
 [0.944] 
96.45
(12)
[2.080]
0.17
(46)
[-0.685]
0.41
(29)
[-0.726]
1.23
(11)
[-2.104]
1.12
(11)
[-2.103]
99.92
(140)
[1.088]
99.92
(141)
[1.098]
0.85
(144)
[-1.162]
1.16
(146)
[-1.250]
1.32
(150)
[-1.298]
98.84
(146)
[1.252]
15.40
(151)
[1.336]
1.15
(146)
[-1.239]
-38.63
(155)
[-1.401]
11.76
(143)
[1.193]
1.19
(147)
[-1.253]
4.67
(20)
[-2.015]
3.52
(20)
[-1.919]
6.04
(19)
[-2.066]
4.89
(19)
[-2.044]
97.36
(15)
[1.918]
95.15
(19)
[2.013]
95.03
(18)
[2.022]
2.59
(19)
[-1.990]
95.70
(18)
[1.971]
1.95
(19)
[-1.998]
6.33
(20)
[-1.998]
93.05
(19)
[1.962]
1.56
(18)
[-1.849]
94.90
(19)
[2.002]
92.24
(19)
[2.093]
95.89
(19)
[2.022]
95.90
(19)
[2.027]
95.72
(19)
[2.015]
96.08
(19)
[1.970]
1.42
(15)
[-1.958]
 46.  huangyuan's unet psp21  [normal] CL 1 0 0 0  96.38 
 (16.53) 
 [1.811] 
96.45
(12)
[2.080]
0.17
(46)
[-0.685]
0.41
(29)
[-0.726]
1.23
(11)
[-2.104]
1.12
(11)
[-2.103]
2.75
(8)
[-1.531]
2.39
(9)
[-1.572]
93.89
(9)
[1.904]
96.06
(9)
[1.590]
96.41
(9)
[1.536]
3.94
(9)
[-1.585]
0.69
(23)
[-1.404]
96.08
(9)
[1.622]
94.08
(9)
[1.666]
0.70
(11)
[-1.634]
96.15
(9)
[1.596]
4.67
(20)
[-2.015]
3.52
(20)
[-1.919]
6.04
(19)
[-2.066]
4.89
(19)
[-2.044]
97.36
(15)
[1.918]
95.15
(19)
[2.013]
95.03
(18)
[2.022]
2.59
(19)
[-1.990]
95.70
(18)
[1.971]
1.95
(19)
[-1.998]
6.33
(20)
[-1.998]
93.05
(19)
[1.962]
1.56
(18)
[-1.849]
94.90
(19)
[2.002]
92.24
(19)
[2.093]
95.89
(19)
[2.022]
95.90
(19)
[2.027]
95.72
(19)
[2.015]
96.08
(19)
[1.970]
1.42
(15)
[-1.958]
 48.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  67.14 
 (81.78) 
 [0.085] 
33.73
(86)
[-0.240]
0.33
(48)
[-0.653]
1.18
(63)
[-0.536]
61.51
(104)
[0.500]
61.47
(104)
[0.497]
27.75
(61)
[-0.857]
30.18
(60)
[-0.811]
57.60
(63)
[0.708]
69.89
(62)
[0.807]
72.77
(62)
[0.832]
30.11
(62)
[-0.802]
5.64
(76)
[-0.482]
69.33
(61)
[0.815]
54.83
(62)
[0.759]
5.56
(74)
[-0.393]
70.26
(62)
[0.819]
35.83
(109)
[0.468]
30.26
(128)
[0.526]
44.76
(83)
[0.211]
39.19
(83)
[0.230]
70.91
(83)
[-0.041]
59.58
(83)
[-0.169]
59.33
(83)
[-0.168]
26.70
(88)
[0.254]
67.78
(84)
[-0.082]
11.97
(113)
[0.421]
39.68
(111)
[0.438]
56.58
(104)
[-0.342]
14.87
(84)
[0.075]
52.97
(84)
[-0.208]
47.66
(83)
[-0.267]
62.42
(85)
[-0.233]
62.58
(88)
[-0.252]
62.27
(93)
[-0.264]
63.20
(87)
[-0.274]
9.65
(78)
[0.045]
 49.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  66.40 
 (85.08) 
 [0.038] 
33.51
(87)
[-0.248]
0.33
(49)
[-0.653]
1.17
(58)
[-0.538]
61.51
(104)
[0.500]
61.71
(105)
[0.507]
28.33
(62)
[-0.842]
30.62
(62)
[-0.799]
56.79
(64)
[0.681]
69.19
(64)
[0.786]
72.18
(63)
[0.814]
30.81
(64)
[-0.781]
5.79
(77)
[-0.455]
68.76
(64)
[0.798]
53.78
(64)
[0.734]
5.57
(75)
[-0.388]
69.67
(64)
[0.801]
36.97
(119)
[0.558]
31.51
(131)
[0.640]
45.81
(84)
[0.273]
40.35
(89)
[0.307]
70.08
(84)
[-0.102]
58.43
(84)
[-0.239]
58.39
(85)
[-0.226]
27.48
(91)
[0.326]
66.99
(85)
[-0.140]
12.40
(126)
[0.526]
41.10
(124)
[0.542]
55.12
(115)
[-0.434]
15.29
(85)
[0.136]
51.57
(92)
[-0.281]
46.46
(86)
[-0.330]
61.29
(92)
[-0.309]
61.45
(93)
[-0.329]
61.45
(96)
[-0.320]
61.76
(96)
[-0.372]
9.68
(80)
[0.052]
 50.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  67.79 
 (79.06) 
 [0.124] 
35.82
(83)
[-0.163]
0.33
(50)
[-0.653]
1.20
(64)
[-0.532]
59.09
(96)
[0.395]
59.36
(96)
[0.406]
27.60
(60)
[-0.861]
29.60
(59)
[-0.827]
57.93
(61)
[0.719]
70.12
(60)
[0.814]
72.83
(61)
[0.834]
29.88
(60)
[-0.809]
5.64
(75)
[-0.483]
69.40
(60)
[0.818]
55.18
(60)
[0.767]
5.71
(80)
[-0.352]
70.38
(61)
[0.823]
34.85
(99)
[0.390]
29.05
(120)
[0.415]
44.07
(82)
[0.170]
38.27
(81)
[0.169]
71.28
(81)
[-0.014]
60.36
(81)
[-0.121]
59.86
(82)
[-0.136]
26.14
(86)
[0.202]
68.16
(79)
[-0.055]
11.60
(105)
[0.332]
38.48
(100)
[0.351]
57.74
(97)
[-0.268]
14.65
(82)
[0.043]
53.95
(83)
[-0.156]
48.62
(81)
[-0.216]
63.27
(82)
[-0.176]
63.43
(82)
[-0.193]
62.60
(92)
[-0.242]
64.60
(83)
[-0.179]
9.69
(82)
[0.055]
 51.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  64.04 
 (93.97) 
 [-0.098] 
30.27
(91)
[-0.368]
0.33
(51)
[-0.653]
1.13
(51)
[-0.549]
64.87
(123)
[0.645]
65.45
(123)
[0.668]
31.46
(68)
[-0.757]
34.13
(67)
[-0.703]
54.34
(67)
[0.601]
66.87
(68)
[0.717]
70.22
(68)
[0.756]
33.13
(68)
[-0.712]
6.17
(83)
[-0.384]
66.68
(67)
[0.736]
50.31
(68)
[0.654]
5.60
(78)
[-0.381]
67.56
(69)
[0.738]
40.01
(139)
[0.801]
34.75
(142)
[0.937]
48.48
(95)
[0.429]
43.22
(107)
[0.497]
67.60
(91)
[-0.286]
55.40
(95)
[-0.425]
55.73
(96)
[-0.389]
30.09
(111)
[0.569]
64.48
(92)
[-0.325]
13.42
(140)
[0.771]
44.41
(138)
[0.784]
51.68
(129)
[-0.651]
16.26
(98)
[0.277]
48.23
(100)
[-0.457]
43.74
(98)
[-0.474]
58.55
(100)
[-0.494]
58.69
(102)
[-0.518]
59.25
(110)
[-0.470]
58.42
(109)
[-0.600]
9.68
(81)
[0.052]
 52.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  65.31 
 (89.47) 
 [-0.026] 
32.95
(88)
[-0.269]
0.34
(52)
[-0.653]
1.15
(56)
[-0.544]
61.74
(106)
[0.509]
62.37
(107)
[0.536]
29.91
(66)
[-0.799]
32.87
(65)
[-0.737]
55.55
(65)
[0.640]
68.00
(65)
[0.751]
71.21
(65)
[0.785]
32.00
(65)
[-0.746]
5.97
(80)
[-0.420]
67.71
(65)
[0.767]
52.00
(65)
[0.693]
5.59
(77)
[-0.384]
68.61
(65)
[0.770]
38.52
(138)
[0.682]
33.07
(141)
[0.783]
47.16
(90)
[0.352]
41.72
(96)
[0.397]
68.83
(87)
[-0.195]
56.87
(89)
[-0.335]
57.06
(91)
[-0.307]
28.77
(100)
[0.446]
65.68
(89)
[-0.237]
12.90
(136)
[0.647]
42.73
(134)
[0.662]
53.43
(122)
[-0.540]
15.77
(93)
[0.206]
49.92
(95)
[-0.368]
45.11
(95)
[-0.402]
59.95
(96)
[-0.400]
60.09
(97)
[-0.422]
60.43
(102)
[-0.390]
60.04
(102)
[-0.490]
9.63
(76)
[0.039]
 53.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  70.93 
 (63.25) 
 [0.292] 
46.25
(54)
[0.223]
0.34
(53)
[-0.653]
2.05
(93)
[-0.322]
46.83
(52)
[-0.135]
46.05
(50)
[-0.167]
24.94
(43)
[-0.933]
26.88
(51)
[-0.901]
60.98
(54)
[0.819]
72.76
(53)
[0.893]
75.46
(50)
[0.912]
27.24
(53)
[-0.888]
5.15
(67)
[-0.575]
71.94
(53)
[0.894]
59.14
(53)
[0.858]
5.00
(69)
[-0.535]
72.91
(53)
[0.899]
32.28
(76)
[0.185]
26.71
(87)
[0.201]
41.08
(68)
[-0.006]
35.50
(67)
[-0.015]
73.79
(68)
[0.172]
63.57
(65)
[0.076]
62.62
(70)
[0.033]
23.95
(71)
[-0.002]
70.17
(67)
[0.094]
10.80
(69)
[0.139]
35.70
(70)
[0.148]
60.75
(70)
[-0.078]
13.31
(66)
[-0.149]
57.89
(67)
[0.052]
52.06
(67)
[-0.034]
66.34
(67)
[0.031]
66.52
(67)
[0.018]
65.76
(68)
[-0.027]
67.66
(65)
[0.030]
9.34
(61)
[-0.030]
 54.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  70.15 
 (68.64) 
 [0.250] 
45.28
(63)
[0.187]
0.34
(54)
[-0.653]
1.20
(66)
[-0.530]
48.64
(63)
[-0.056]
48.28
(61)
[-0.071]
25.87
(52)
[-0.908]
27.81
(55)
[-0.876]
60.31
(56)
[0.797]
72.20
(56)
[0.876]
74.83
(56)
[0.893]
27.80
(56)
[-0.872]
5.24
(70)
[-0.557]
71.47
(55)
[0.880]
58.30
(56)
[0.839]
4.86
(62)
[-0.571]
72.40
(55)
[0.883]
33.41
(90)
[0.275]
28.14
(112)
[0.333]
41.86
(72)
[0.040]
36.59
(74)
[0.057]
73.14
(70)
[0.124]
62.56
(72)
[0.014]
61.88
(75)
[-0.012]
24.67
(76)
[0.064]
69.67
(74)
[0.057]
11.24
(84)
[0.245]
37.15
(84)
[0.254]
59.28
(82)
[-0.171]
13.59
(71)
[-0.109]
56.78
(72)
[-0.007]
50.99
(72)
[-0.090]
65.41
(72)
[-0.032]
65.56
(72)
[-0.048]
65.21
(73)
[-0.064]
66.21
(76)
[-0.069]
9.37
(62)
[-0.023]
 55.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  64.64 
 (93.53) 
 [-0.065] 
29.88
(92)
[-0.382]
0.34
(55)
[-0.653]
2.10
(94)
[-0.308]
64.52
(122)
[0.629]
64.43
(122)
[0.625]
30.61
(67)
[-0.780]
34.51
(68)
[-0.693]
54.32
(68)
[0.600]
66.87
(67)
[0.717]
71.07
(67)
[0.781]
33.13
(67)
[-0.712]
6.12
(82)
[-0.393]
66.38
(69)
[0.727]
50.31
(67)
[0.654]
6.24
(85)
[-0.218]
67.59
(67)
[0.739]
38.10
(135)
[0.648]
32.33
(136)
[0.716]
47.75
(91)
[0.387]
41.99
(98)
[0.415]
68.20
(90)
[-0.241]
56.61
(91)
[-0.351]
56.46
(95)
[-0.345]
28.94
(101)
[0.462]
64.67
(91)
[-0.311]
12.79
(133)
[0.621]
42.34
(132)
[0.633]
53.58
(121)
[-0.531]
16.11
(96)
[0.254]
49.40
(98)
[-0.395]
44.80
(96)
[-0.418]
59.64
(98)
[-0.420]
59.83
(98)
[-0.440]
59.71
(107)
[-0.439]
60.33
(100)
[-0.470]
10.23
(101)
[0.186]
 56.  huangyuan's unet pspnet_ewt  [normal] CL 1 0 0 0  70.72 
 (58.28) 
 [0.947] 
94.80
(19)
[2.019]
0.34
(56)
[-0.651]
0.00
(1)
[-0.828]
3.67
(23)
[-1.999]
3.42
(23)
[-2.004]
99.94
(144)
[1.089]
99.93
(145)
[1.098]
0.74
(148)
[-1.165]
1.07
(147)
[-1.253]
1.81
(148)
[-1.284]
98.93
(147)
[1.255]
15.14
(145)
[1.287]
1.16
(145)
[-1.238]
-38.60
(154)
[-1.400]
11.92
(147)
[1.235]
1.29
(145)
[-1.250]
4.14
(19)
[-2.057]
3.17
(18)
[-1.951]
5.65
(18)
[-2.089]
4.68
(18)
[-2.057]
96.85
(20)
[1.880]
95.18
(18)
[2.015]
94.87
(20)
[2.012]
2.56
(18)
[-1.992]
95.45
(20)
[1.953]
1.74
(17)
[-2.050]
5.71
(17)
[-2.043]
93.67
(17)
[2.001]
1.59
(20)
[-1.844]
94.94
(18)
[2.004]
92.60
(18)
[2.112]
95.96
(18)
[2.027]
95.96
(18)
[2.032]
95.73
(18)
[2.016]
96.21
(18)
[1.979]
1.18
(13)
[-2.017]
 56.  huangyuan's unet pspnet_ewt  [normal] CL 1 0 0 0  71.06 
 (56.61) 
 [0.970] 
96.29
(14)
[2.074]
0.34
(56)
[-0.651]
0.00
(1)
[-0.828]
2.25
(16)
[-2.060]
1.97
(17)
[-2.066]
99.94
(142)
[1.089]
99.93
(142)
[1.098]
0.60
(150)
[-1.170]
0.70
(150)
[-1.264]
1.64
(149)
[-1.289]
99.30
(150)
[1.266]
15.28
(147)
[1.313]
0.93
(150)
[-1.245]
-39.15
(158)
[-1.413]
11.82
(144)
[1.209]
1.04
(148)
[-1.258]
3.72
(17)
[-2.090]
2.95
(17)
[-1.971]
4.81
(12)
[-2.139]
4.03
(14)
[-2.100]
97.30
(19)
[1.914]
95.81
(14)
[2.054]
95.62
(14)
[2.058]
2.19
(12)
[-2.027]
96.10
(14)
[2.001]
1.60
(16)
[-2.083]
5.23
(16)
[-2.078]
94.21
(16)
[2.035]
1.37
(17)
[-1.876]
95.57
(16)
[2.037]
93.44
(16)
[2.156]
96.44
(16)
[2.059]
96.44
(16)
[2.065]
96.36
(16)
[2.059]
96.53
(17)
[2.001]
1.05
(9)
[-2.047]
 58.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  70.76 
 (63.39) 
 [0.286] 
44.10
(68)
[0.144]
0.34
(58)
[-0.651]
1.22
(68)
[-0.527]
50.14
(67)
[0.008]
49.50
(65)
[-0.019]
24.11
(36)
[-0.955]
26.31
(48)
[-0.917]
61.64
(50)
[0.841]
73.35
(50)
[0.911]
76.43
(38)
[0.941]
26.65
(50)
[-0.906]
4.98
(58)
[-0.605]
72.89
(48)
[0.923]
60.03
(50)
[0.879]
4.46
(44)
[-0.673]
73.72
(47)
[0.923]
32.92
(85)
[0.236]
28.07
(111)
[0.326]
40.91
(66)
[-0.016]
36.06
(70)
[0.022]
74.25
(63)
[0.207]
63.32
(68)
[0.061]
63.15
(64)
[0.066]
23.87
(69)
[-0.010]
71.02
(59)
[0.156]
11.13
(82)
[0.220]
36.80
(82)
[0.228]
59.83
(81)
[-0.136]
13.24
(62)
[-0.160]
57.55
(69)
[0.034]
51.35
(71)
[-0.072]
65.95
(69)
[0.005]
66.10
(70)
[-0.011]
66.34
(63)
[0.013]
66.16
(77)
[-0.072]
9.15
(56)
[-0.078]
 59.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  74.67 
 (35.42) 
 [0.523] 
50.66
(32)
[0.387]
0.36
(59)
[-0.649]
0.83
(38)
[-0.622]
43.74
(37)
[-0.268]
43.52
(36)
[-0.276]
21.51
(24)
[-1.025]
21.47
(21)
[-1.049]
65.56
(23)
[0.970]
76.52
(24)
[1.006]
79.13
(18)
[1.021]
23.48
(24)
[-1.001]
4.55
(36)
[-0.685]
75.31
(22)
[0.996]
64.78
(24)
[0.989]
4.71
(57)
[-0.610]
76.18
(24)
[0.997]
27.09
(42)
[-0.228]
22.40
(44)
[-0.192]
36.05
(38)
[-0.301]
31.36
(39)
[-0.289]
77.74
(37)
[0.465]
68.76
(38)
[0.395]
67.59
(38)
[0.338]
19.88
(38)
[-0.381]
73.80
(39)
[0.361]
9.37
(41)
[-0.205]
30.73
(42)
[-0.215]
65.78
(42)
[0.240]
11.47
(36)
[-0.416]
63.92
(38)
[0.370]
57.55
(38)
[0.257]
71.21
(38)
[0.359]
71.43
(38)
[0.354]
69.86
(37)
[0.253]
73.45
(39)
[0.425]
8.44
(34)
[-0.250]
 60.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  74.65 
 (35.08) 
 [0.535] 
48.74
(41)
[0.315]
0.36
(60)
[-0.648]
0.00
(1)
[-0.828]
47.15
(54)
[-0.121]
46.53
(54)
[-0.146]
21.84
(27)
[-1.016]
21.54
(22)
[-1.047]
65.60
(22)
[0.972]
76.82
(21)
[1.014]
77.10
(32)
[0.961]
23.18
(21)
[-1.009]
4.66
(38)
[-0.666]
75.15
(25)
[0.991]
65.22
(21)
[0.999]
4.62
(55)
[-0.632]
75.98
(25)
[0.991]
26.04
(38)
[-0.312]
21.40
(39)
[-0.284]
35.81
(37)
[-0.316]
31.17
(37)
[-0.302]
77.89
(35)
[0.476]
69.31
(33)
[0.428]
67.78
(37)
[0.350]
19.32
(34)
[-0.433]
73.70
(41)
[0.353]
9.12
(38)
[-0.267]
29.81
(39)
[-0.283]
66.50
(39)
[0.285]
11.55
(37)
[-0.405]
64.31
(37)
[0.390]
58.10
(35)
[0.286]
71.63
(37)
[0.387]
71.94
(37)
[0.389]
69.67
(38)
[0.240]
74.86
(34)
[0.522]
8.68
(42)
[-0.191]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 61.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  74.71 
 (36.81) 
 [0.534] 
48.76
(40)
[0.316]
0.36
(61)
[-0.648]
1.23
(70)
[-0.523]
45.73
(49)
[-0.182]
45.10
(44)
[-0.208]
21.82
(26)
[-1.017]
22.25
(26)
[-1.028]
65.13
(27)
[0.956]
76.54
(22)
[1.006]
76.58
(36)
[0.945]
23.46
(22)
[-1.001]
4.77
(41)
[-0.644]
74.48
(29)
[0.971]
64.81
(22)
[0.989]
4.95
(67)
[-0.548]
75.34
(29)
[0.972]
25.05
(32)
[-0.391]
20.55
(32)
[-0.362]
35.61
(36)
[-0.327]
31.12
(36)
[-0.305]
77.84
(36)
[0.472]
69.74
(32)
[0.454]
67.85
(36)
[0.354]
18.99
(32)
[-0.464]
73.75
(40)
[0.357]
8.90
(34)
[-0.320]
29.10
(33)
[-0.335]
67.10
(35)
[0.323]
11.65
(38)
[-0.390]
64.34
(36)
[0.392]
58.18
(34)
[0.290]
71.73
(35)
[0.394]
72.09
(34)
[0.399]
69.26
(42)
[0.212]
75.67
(32)
[0.577]
8.85
(49)
[-0.150]
 62.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  74.75 
 (33.75) 
 [0.544] 
48.90
(39)
[0.321]
0.37
(62)
[-0.647]
0.00
(1)
[-0.828]
46.91
(53)
[-0.131]
46.79
(55)
[-0.135]
21.57
(25)
[-1.024]
21.83
(24)
[-1.039]
65.63
(21)
[0.973]
76.54
(23)
[1.006]
77.29
(29)
[0.966]
23.46
(23)
[-1.001]
4.62
(37)
[-0.673]
75.07
(27)
[0.989]
64.81
(23)
[0.989]
4.45
(43)
[-0.676]
75.85
(27)
[0.987]
25.70
(34)
[-0.339]
21.21
(38)
[-0.302]
35.48
(33)
[-0.335]
30.98
(33)
[-0.314]
77.62
(38)
[0.456]
69.09
(35)
[0.415]
68.16
(35)
[0.373]
19.42
(35)
[-0.423]
74.02
(38)
[0.377]
8.97
(35)
[-0.303]
29.34
(36)
[-0.317]
67.10
(34)
[0.323]
11.35
(35)
[-0.433]
64.68
(33)
[0.409]
58.37
(33)
[0.300]
71.86
(33)
[0.403]
72.16
(33)
[0.404]
70.03
(36)
[0.265]
74.90
(33)
[0.525]
8.70
(43)
[-0.187]
 63.  huangyuan's unet with ewt  [normal] CL 1 0 0 0  71.65 
 (53.00) 
 [1.016] 
97.05
(8)
[2.103]
0.37
(63)
[-0.646]
0.23
(25)
[-0.770]
1.88
(13)
[-2.076]
1.87
(14)
[-2.071]
99.97
(147)
[1.089]
99.97
(148)
[1.099]
0.12
(153)
[-1.186]
0.19
(154)
[-1.279]
0.43
(155)
[-1.325]
99.81
(154)
[1.281]
15.50
(154)
[1.355]
0.24
(153)
[-1.266]
-40.02
(162)
[-1.433]
11.69
(141)
[1.175]
0.27
(154)
[-1.281]
2.47
(6)
[-2.190]
1.81
(6)
[-2.075]
3.37
(4)
[-2.223]
2.71
(4)
[-2.188]
98.48
(2)
[2.001]
97.23
(4)
[2.140]
97.32
(4)
[2.162]
1.46
(6)
[-2.095]
97.62
(2)
[2.113]
1.10
(6)
[-2.204]
3.46
(6)
[-2.207]
96.22
(6)
[2.162]
0.82
(6)
[-1.955]
97.18
(6)
[2.122]
95.71
(6)
[2.277]
97.69
(6)
[2.144]
97.71
(6)
[2.152]
98.29
(3)
[2.191]
97.18
(10)
[2.045]
1.13
(11)
[-2.029]
 63.  huangyuan's unet with ewt  [normal] CL 1 0 0 0  72.81 
 (48.36) 
 [1.054] 
97.05
(8)
[2.103]
0.37
(63)
[-0.646]
0.23
(25)
[-0.770]
1.88
(13)
[-2.076]
1.87
(14)
[-2.071]
95.14
(113)
[0.959]
95.67
(120)
[0.982]
4.15
(138)
[-1.053]
4.52
(142)
[-1.150]
4.83
(142)
[-1.194]
95.48
(142)
[1.152]
15.03
(144)
[1.267]
4.58
(142)
[-1.135]
-33.74
(149)
[-1.288]
11.31
(134)
[1.078]
4.62
(142)
[-1.150]
2.47
(6)
[-2.190]
1.81
(6)
[-2.075]
3.37
(4)
[-2.223]
2.71
(4)
[-2.188]
98.48
(2)
[2.001]
97.23
(4)
[2.140]
97.32
(4)
[2.162]
1.46
(6)
[-2.095]
97.62
(2)
[2.113]
1.10
(6)
[-2.204]
3.46
(6)
[-2.207]
96.22
(6)
[2.162]
0.82
(6)
[-1.955]
97.18
(6)
[2.122]
95.71
(6)
[2.277]
97.69
(6)
[2.144]
97.71
(6)
[2.152]
98.29
(3)
[2.191]
97.18
(10)
[2.045]
1.13
(11)
[-2.029]
 63.  huangyuan's unet unetewt21  [normal] CL 1 0 0 0  96.82 
 (13.22) 
 [1.857] 
95.83
(16)
[2.057]
0.37
(63)
[-0.646]
1.46
(76)
[-0.467]
1.88
(13)
[-2.076]
1.87
(14)
[-2.071]
5.68
(10)
[-1.452]
5.73
(11)
[-1.480]
93.88
(10)
[1.903]
95.04
(10)
[1.560]
95.12
(10)
[1.498]
4.96
(10)
[-1.554]
0.66
(21)
[-1.410]
94.94
(10)
[1.587]
92.56
(10)
[1.631]
0.71
(12)
[-1.632]
95.00
(10)
[1.562]
2.69
(8)
[-2.172]
1.84
(8)
[-2.073]
3.85
(9)
[-2.195]
3.00
(8)
[-2.169]
98.12
(11)
[1.974]
96.90
(9)
[2.121]
96.83
(9)
[2.132]
1.66
(9)
[-2.077]
97.29
(4)
[2.088]
1.16
(8)
[-2.189]
3.64
(8)
[-2.194]
95.97
(8)
[2.146]
0.98
(8)
[-1.933]
96.72
(9)
[2.098]
95.22
(8)
[2.251]
97.33
(9)
[2.119]
97.33
(9)
[2.125]
97.47
(9)
[2.135]
97.18
(9)
[2.045]
1.12
(10)
[-2.030]
 66.  huangyuan's unet Siamese  [normal] CL 1 0 0 0  58.29 
 (66.25) 
 [0.079] 
56.59
(28)
[0.606]
0.40
(66)
[-0.640]
1.95
(86)
[-0.347]
36.09
(28)
[-0.598]
37.50
(30)
[-0.536]
98.99
(138)
[1.063]
98.93
(137)
[1.071]
1.65
(143)
[-1.135]
3.22
(143)
[-1.188]
4.42
(143)
[-1.206]
96.78
(143)
[1.191]
15.22
(146)
[1.303]
2.99
(143)
[-1.183]
-36.51
(151)
[-1.352]
12.11
(151)
[1.283]
3.34
(143)
[-1.189]
21.28
(28)
[-0.691]
16.18
(28)
[-0.762]
30.46
(27)
[-0.630]
25.36
(27)
[-0.687]
81.99
(28)
[0.780]
73.45
(27)
[0.682]
73.01
(27)
[0.671]
15.78
(27)
[-0.763]
79.51
(27)
[0.780]
7.48
(27)
[-0.663]
24.62
(28)
[-0.661]
72.72
(27)
[0.678]
9.90
(27)
[-0.643]
69.93
(27)
[0.686]
63.72
(27)
[0.584]
76.29
(27)
[0.701]
76.51
(27)
[0.701]
75.30
(28)
[0.624]
78.16
(27)
[0.747]
8.83
(48)
[-0.155]
 67.  huangyuan's unet deepv  [normal] CL 1 0 0 0  70.96 
 (59.33) 
 [0.951] 
95.22
(17)
[2.035]
0.72
(67)
[-0.581]
2.61
(106)
[-0.183]
2.76
(18)
[-2.038]
2.64
(18)
[-2.037]
99.95
(146)
[1.089]
99.95
(147)
[1.099]
0.41
(151)
[-1.176]
0.59
(151)
[-1.267]
0.92
(154)
[-1.310]
99.41
(151)
[1.269]
15.45
(152)
[1.345]
0.70
(151)
[-1.252]
-39.40
(159)
[-1.419]
11.70
(142)
[1.176]
0.73
(151)
[-1.267]
3.43
(12)
[-2.113]
2.34
(11)
[-2.027]
4.95
(13)
[-2.130]
3.85
(12)
[-2.112]
97.34
(17)
[1.916]
95.92
(12)
[2.060]
95.75
(12)
[2.066]
2.22
(13)
[-2.025]
96.02
(16)
[1.995]
1.40
(10)
[-2.131]
4.43
(10)
[-2.136]
95.08
(10)
[2.090]
1.26
(12)
[-1.893]
95.80
(12)
[2.049]
93.85
(12)
[2.178]
96.59
(12)
[2.069]
96.60
(12)
[2.076]
96.65
(12)
[2.079]
96.59
(15)
[2.005]
1.79
(20)
[-1.867]
 67.  huangyuan's unet deepv21  [normal] CL 1 0 0 0  96.97 
 (15.39) 
 [1.830] 
95.22
(17)
[2.035]
0.72
(67)
[-0.581]
2.61
(106)
[-0.183]
2.76
(18)
[-2.038]
2.64
(18)
[-2.037]
0.92
(3)
[-1.580]
1.70
(6)
[-1.590]
95.45
(6)
[1.955]
97.18
(5)
[1.624]
97.78
(5)
[1.577]
2.82
(5)
[-1.618]
0.42
(15)
[-1.454]
97.05
(5)
[1.651]
95.76
(5)
[1.705]
0.81
(13)
[-1.606]
97.24
(5)
[1.629]
3.43
(12)
[-2.113]
2.34
(11)
[-2.027]
4.95
(13)
[-2.130]
3.85
(12)
[-2.112]
97.34
(17)
[1.916]
95.92
(12)
[2.060]
95.75
(12)
[2.066]
2.22
(13)
[-2.025]
96.02
(16)
[1.995]
1.40
(10)
[-2.131]
4.43
(10)
[-2.136]
95.08
(10)
[2.090]
1.26
(12)
[-1.893]
95.80
(12)
[2.049]
93.85
(12)
[2.178]
96.59
(12)
[2.069]
96.60
(12)
[2.076]
96.65
(12)
[2.079]
96.59
(15)
[2.005]
1.79
(20)
[-1.867]
 69.  borkojos's coocurrence&naive bayes   [normal] CL 1 0 1 0  68.19 
 (75.14) 
 [0.148] 
35.54
(84)
[-0.173]
0.77
(69)
[-0.571]
1.11
(47)
[-0.555]
59.87
(98)
[0.429]
59.48
(97)
[0.411]
25.63
(49)
[-0.914]
30.61
(61)
[-0.799]
58.03
(60)
[0.722]
70.12
(61)
[0.814]
74.46
(59)
[0.882]
29.88
(61)
[-0.809]
4.98
(57)
[-0.606]
69.24
(62)
[0.813]
55.17
(61)
[0.767]
6.77
(91)
[-0.081]
70.58
(60)
[0.829]
33.25
(86)
[0.262]
27.17
(95)
[0.244]
43.99
(81)
[0.165]
37.92
(80)
[0.145]
72.05
(78)
[0.043]
60.91
(77)
[-0.087]
60.79
(79)
[-0.079]
25.05
(79)
[0.100]
68.00
(81)
[-0.066]
11.29
(86)
[0.257]
37.02
(83)
[0.244]
59.04
(86)
[-0.186]
14.61
(81)
[0.038]
54.58
(79)
[-0.123]
48.82
(79)
[-0.205]
63.83
(79)
[-0.138]
64.06
(79)
[-0.151]
63.59
(85)
[-0.174]
65.00
(81)
[-0.151]
9.62
(74)
[0.037]
 70.  connetwork12's conn col-blur6  [normal] CL 1 0 0 0  80.91 
 (25.92) 
 [0.875] 
58.84
(26)
[0.689]
0.78
(70)
[-0.568]
1.56
(77)
[-0.443]
34.20
(27)
[-0.680]
34.47
(27)
[-0.666]
12.77
(13)
[-1.261]
11.64
(13)
[-1.318]
74.15
(13)
[1.253]
83.52
(13)
[1.215]
85.92
(13)
[1.224]
16.48
(13)
[-1.210]
3.71
(29)
[-0.842]
82.95
(13)
[1.226]
75.28
(13)
[1.231]
4.31
(37)
[-0.711]
83.78
(13)
[1.225]
21.12
(27)
[-0.704]
16.12
(27)
[-0.767]
28.80
(26)
[-0.728]
23.80
(26)
[-0.790]
83.81
(26)
[0.915]
75.64
(26)
[0.816]
74.87
(26)
[0.785]
14.78
(26)
[-0.855]
80.12
(26)
[0.826]
7.07
(26)
[-0.762]
23.89
(27)
[-0.715]
73.57
(26)
[0.732]
9.15
(26)
[-0.751]
72.23
(26)
[0.807]
65.31
(26)
[0.668]
78.19
(26)
[0.829]
78.27
(26)
[0.822]
75.98
(27)
[0.670]
80.73
(26)
[0.922]
5.91
(25)
[-0.865]
 71.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  75.15 
 (32.53) 
 [0.556] 
50.03
(33)
[0.363]
0.80
(71)
[-0.566]
0.84
(42)
[-0.621]
43.72
(36)
[-0.269]
44.08
(37)
[-0.252]
21.14
(21)
[-1.035]
22.62
(27)
[-1.018]
66.40
(20)
[0.998]
77.29
(20)
[1.029]
78.12
(26)
[0.991]
22.71
(20)
[-1.024]
4.43
(35)
[-0.709]
76.05
(20)
[1.018]
65.93
(20)
[1.015]
4.39
(39)
[-0.690]
76.83
(20)
[1.016]
26.01
(37)
[-0.315]
21.46
(40)
[-0.278]
35.22
(32)
[-0.350]
30.67
(32)
[-0.335]
78.08
(32)
[0.490]
69.31
(34)
[0.428]
68.54
(32)
[0.397]
19.23
(33)
[-0.442]
74.46
(35)
[0.409]
9.06
(37)
[-0.282]
29.63
(37)
[-0.296]
66.89
(36)
[0.310]
11.20
(32)
[-0.456]
65.01
(32)
[0.427]
58.53
(32)
[0.309]
72.12
(32)
[0.420]
72.38
(32)
[0.418]
70.57
(33)
[0.301]
74.73
(35)
[0.513]
8.54
(39)
[-0.225]
 72.  eldeeqq's Test 0.1  [normal] 1 0 0 0  51.09 
 (125.19) 
 [-0.783] 
8.67
(155)
[-1.167]
0.80
(72)
[-0.565]
0.00
(1)
[-0.828]
78.33
(153)
[1.226]
78.75
(153)
[1.242]
47.95
(79)
[-0.313]
46.67
(80)
[-0.360]
32.97
(81)
[-0.104]
46.72
(81)
[0.114]
48.37
(83)
[0.104]
43.28
(79)
[-0.409]
9.98
(95)
[0.327]
45.29
(80)
[0.091]
25.43
(80)
[0.079]
7.08
(92)
[-0.004]
46.37
(81)
[0.102]
44.75
(150)
[1.178]
38.35
(149)
[1.266]
56.00
(141)
[0.871]
49.60
(143)
[0.919]
46.72
(161)
[-1.832]
36.92
(161)
[-1.558]
35.04
(160)
[-1.659]
36.38
(151)
[1.155]
44.04
(160)
[-1.828]
14.08
(144)
[0.931]
48.85
(146)
[1.109]
36.29
(160)
[-1.623]
21.01
(147)
[0.964]
27.37
(159)
[-1.556]
27.06
(161)
[-1.357]
41.12
(162)
[-1.668]
41.32
(162)
[-1.706]
38.20
(160)
[-1.905]
44.84
(162)
[-1.528]
11.50
(123)
[0.494]
 73.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.21 
 (43.50) 
 [0.453] 
45.76
(58)
[0.205]
0.81
(73)
[-0.563]
4.18
(117)
[0.205]
45.20
(41)
[-0.205]
45.75
(48)
[-0.180]
14.94
(16)
[-1.203]
16.07
(15)
[-1.197]
65.22
(26)
[0.959]
76.01
(28)
[0.990]
80.63
(15)
[1.066]
23.99
(28)
[-0.985]
4.78
(42)
[-0.643]
75.21
(23)
[0.993]
64.01
(28)
[0.971]
6.74
(90)
[-0.090]
76.62
(22)
[1.010]
25.89
(36)
[-0.324]
20.64
(34)
[-0.354]
36.59
(40)
[-0.270]
31.34
(38)
[-0.290]
76.01
(46)
[0.337]
66.90
(45)
[0.281]
66.92
(40)
[0.297]
20.20
(39)
[-0.352]
76.16
(29)
[0.534]
8.83
(32)
[-0.338]
29.17
(34)
[-0.329]
67.26
(33)
[0.333]
13.47
(67)
[-0.127]
60.28
(58)
[0.178]
54.88
(53)
[0.115]
69.07
(48)
[0.215]
69.39
(48)
[0.214]
68.09
(49)
[0.132]
71.33
(50)
[0.281]
9.63
(77)
[0.040]
 73.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.28 
 (42.86) 
 [0.458] 
46.11
(56)
[0.218]
0.81
(73)
[-0.563]
4.18
(117)
[0.205]
44.82
(39)
[-0.222]
45.29
(45)
[-0.200]
14.52
(14)
[-1.214]
16.77
(16)
[-1.178]
65.42
(24)
[0.966]
76.19
(26)
[0.996]
80.30
(16)
[1.056]
23.81
(26)
[-0.991]
4.82
(45)
[-0.636]
75.40
(21)
[0.998]
64.29
(26)
[0.977]
6.43
(86)
[-0.169]
76.69
(21)
[1.012]
25.78
(35)
[-0.333]
20.68
(35)
[-0.349]
36.67
(41)
[-0.265]
31.58
(41)
[-0.275]
76.19
(43)
[0.350]
66.99
(43)
[0.286]
66.85
(41)
[0.293]
20.35
(42)
[-0.337]
76.15
(30)
[0.533]
8.84
(33)
[-0.335]
29.20
(35)
[-0.327]
67.43
(32)
[0.344]
13.25
(63)
[-0.159]
60.58
(55)
[0.194]
54.85
(54)
[0.114]
69.05
(49)
[0.214]
69.41
(47)
[0.215]
68.59
(45)
[0.167]
70.97
(53)
[0.256]
9.62
(75)
[0.038]
 75.  eldeeqq's Test 0.1  [normal] 1 0 0 0  57.23 
 (116.08) 
 [-0.450] 
15.63
(137)
[-0.909]
0.86
(75)
[-0.554]
3.99
(116)
[0.159]
70.16
(135)
[0.873]
69.59
(133)
[0.847]
35.90
(74)
[-0.637]
35.48
(71)
[-0.666]
39.54
(78)
[0.113]
53.40
(78)
[0.314]
52.84
(78)
[0.238]
36.60
(73)
[-0.608]
8.02
(94)
[-0.039]
50.60
(78)
[0.251]
35.19
(78)
[0.305]
7.70
(94)
[0.156]
51.78
(78)
[0.265]
36.80
(118)
[0.545]
31.84
(134)
[0.671]
49.18
(97)
[0.471]
44.22
(112)
[0.563]
53.40
(156)
[-1.337]
44.61
(155)
[-1.087]
42.53
(156)
[-1.199]
30.30
(113)
[0.588]
50.72
(157)
[-1.337]
12.05
(118)
[0.441]
41.02
(122)
[0.537]
44.23
(150)
[-1.121]
17.67
(114)
[0.480]
36.89
(152)
[-1.054]
34.72
(155)
[-0.952]
48.54
(158)
[-1.168]
48.78
(158)
[-1.196]
44.72
(157)
[-1.460]
53.35
(138)
[-0.947]
9.88
(89)
[0.101]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 76.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.46 
 (52.25) 
 [0.386] 
48.06
(45)
[0.290]
0.87
(76)
[-0.553]
1.24
(71)
[-0.523]
45.32
(43)
[-0.200]
44.50
(40)
[-0.234]
24.12
(37)
[-0.955]
24.85
(36)
[-0.957]
63.15
(41)
[0.891]
74.32
(45)
[0.940]
76.29
(39)
[0.937]
25.68
(45)
[-0.935]
4.98
(59)
[-0.605]
73.66
(37)
[0.946]
61.48
(45)
[0.912]
4.23
(31)
[-0.733]
74.37
(40)
[0.943]
30.95
(65)
[0.079]
26.22
(84)
[0.157]
38.46
(53)
[-0.160]
33.73
(54)
[-0.132]
75.57
(54)
[0.304]
65.57
(56)
[0.199]
65.28
(49)
[0.197]
22.20
(58)
[-0.165]
72.16
(47)
[0.240]
10.34
(59)
[0.029]
34.09
(62)
[0.030]
62.48
(59)
[0.031]
12.38
(48)
[-0.285]
60.59
(54)
[0.194]
54.47
(58)
[0.094]
68.47
(58)
[0.175]
68.60
(58)
[0.160]
67.97
(50)
[0.124]
69.50
(59)
[0.156]
9.44
(66)
[-0.006]
 77.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.72 
 (49.33) 
 [0.406] 
47.98
(46)
[0.287]
0.87
(77)
[-0.552]
1.24
(72)
[-0.523]
45.56
(48)
[-0.189]
44.81
(42)
[-0.221]
24.50
(41)
[-0.945]
25.33
(39)
[-0.944]
63.36
(36)
[0.898]
74.39
(44)
[0.942]
76.54
(37)
[0.944]
25.61
(44)
[-0.937]
4.97
(56)
[-0.608]
73.68
(36)
[0.947]
61.58
(44)
[0.915]
4.25
(34)
[-0.728]
74.45
(38)
[0.945]
30.13
(60)
[0.014]
25.38
(71)
[0.080]
37.96
(48)
[-0.189]
33.21
(48)
[-0.166]
75.70
(49)
[0.314]
65.93
(53)
[0.221]
65.62
(47)
[0.217]
21.75
(51)
[-0.207]
72.31
(45)
[0.251]
10.06
(53)
[-0.041]
33.07
(56)
[-0.044]
63.53
(50)
[0.098]
12.17
(45)
[-0.315]
61.25
(47)
[0.229]
55.04
(49)
[0.124]
68.98
(50)
[0.209]
69.14
(52)
[0.197]
68.33
(46)
[0.149]
70.27
(58)
[0.208]
9.39
(64)
[-0.019]
 78.  connetwork12's conn gl-noblur  [normal] CL 1 0 0 0  78.65 
 (25.36) 
 [0.746] 
57.37
(27)
[0.635]
1.03
(78)
[-0.522]
0.00
(1)
[-0.828]
37.10
(30)
[-0.555]
37.02
(29)
[-0.556]
16.11
(17)
[-1.171]
15.49
(14)
[-1.213]
71.69
(14)
[1.172]
81.76
(14)
[1.162]
84.35
(14)
[1.177]
18.24
(14)
[-1.157]
3.68
(28)
[-0.848]
81.41
(14)
[1.180]
72.64
(14)
[1.170]
4.03
(26)
[-0.783]
82.18
(14)
[1.177]
24.24
(31)
[-0.456]
18.98
(29)
[-0.505]
32.36
(28)
[-0.518]
27.10
(28)
[-0.571]
82.02
(27)
[0.782]
72.41
(28)
[0.618]
72.24
(28)
[0.623]
17.07
(28)
[-0.643]
78.13
(28)
[0.679]
8.15
(28)
[-0.501]
26.88
(29)
[-0.496]
70.28
(28)
[0.524]
10.15
(28)
[-0.606]
68.28
(28)
[0.599]
61.36
(28)
[0.458]
74.82
(28)
[0.603]
74.93
(28)
[0.593]
73.87
(29)
[0.526]
76.20
(30)
[0.613]
6.82
(26)
[-0.644]
 79.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  76.37 
 (31.33) 
 [0.608] 
53.65
(29)
[0.497]
1.21
(79)
[-0.489]
3.41
(111)
[0.016]
36.31
(29)
[-0.589]
36.38
(28)
[-0.584]
19.29
(18)
[-1.085]
21.79
(23)
[-1.040]
67.37
(16)
[1.030]
78.24
(16)
[1.057]
78.62
(23)
[1.006]
21.76
(16)
[-1.052]
4.21
(31)
[-0.749]
76.69
(16)
[1.037]
67.36
(16)
[1.048]
4.25
(35)
[-0.726]
77.46
(16)
[1.035]
25.16
(33)
[-0.382]
20.62
(33)
[-0.355]
34.04
(31)
[-0.419]
29.51
(31)
[-0.412]
79.05
(31)
[0.562]
70.66
(31)
[0.511]
69.47
(31)
[0.454]
18.46
(31)
[-0.513]
75.48
(33)
[0.484]
8.76
(31)
[-0.353]
28.64
(32)
[-0.368]
68.01
(31)
[0.381]
10.72
(31)
[-0.525]
66.26
(31)
[0.493]
59.85
(31)
[0.379]
73.04
(31)
[0.483]
73.28
(31)
[0.480]
71.16
(31)
[0.341]
75.89
(31)
[0.592]
7.79
(30)
[-0.407]
 80.  borkojos's coocurrence&naive bayes   [normal] CL 1 0 1 0  43.16 
 (133.81) 
 [-0.827] 
15.81
(136)
[-0.903]
1.24
(80)
[-0.483]
0.00
(1)
[-0.828]
80.80
(158)
[1.333]
81.37
(159)
[1.354]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
0.00
(160)
[-1.190]
0.00
(160)
[-1.285]
0.00
(160)
[-1.338]
100.00
(160)
[1.287]
0.11
(4)
[-1.513]
0.00
(160)
[-1.273]
-0.26
(95)
[-0.514]
0.20
(5)
[-1.761]
0.00
(160)
[-1.289]
46.04
(154)
[1.281]
39.06
(151)
[1.331]
57.30
(146)
[0.948]
50.32
(148)
[0.968]
59.97
(132)
[-0.851]
47.03
(142)
[-0.938]
47.14
(142)
[-0.916]
36.55
(153)
[1.170]
57.20
(135)
[-0.860]
15.24
(151)
[1.211]
50.50
(153)
[1.229]
44.50
(149)
[-1.105]
20.55
(144)
[0.897]
36.80
(153)
[-1.059]
34.98
(150)
[-0.938]
49.79
(150)
[-1.084]
50.04
(151)
[-1.110]
50.03
(154)
[-1.099]
50.57
(149)
[-1.136]
10.58
(110)
[0.271]
 81.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  59.95 
 (111.22) 
 [-0.343] 
22.41
(109)
[-0.658]
1.37
(81)
[-0.459]
1.14
(54)
[-0.546]
72.52
(144)
[0.975]
71.83
(139)
[0.944]
36.46
(76)
[-0.622]
38.49
(75)
[-0.584]
49.88
(74)
[0.454]
62.92
(74)
[0.599]
67.46
(74)
[0.673]
37.08
(75)
[-0.594]
6.73
(88)
[-0.280]
62.95
(75)
[0.623]
44.38
(74)
[0.517]
6.18
(84)
[-0.233]
64.01
(74)
[0.632]
44.46
(149)
[1.155]
39.11
(152)
[1.335]
53.42
(122)
[0.720]
48.07
(133)
[0.818]
63.32
(109)
[-0.603]
50.47
(123)
[-0.727]
50.93
(119)
[-0.684]
34.31
(140)
[0.962]
59.98
(121)
[-0.656]
15.06
(150)
[1.167]
49.73
(150)
[1.173]
46.08
(144)
[-1.005]
18.11
(123)
[0.544]
42.39
(128)
[-0.765]
38.97
(125)
[-0.727]
53.84
(133)
[-0.812]
54.04
(137)
[-0.836]
55.16
(133)
[-0.749]
53.34
(139)
[-0.948]
10.35
(104)
[0.216]
 82.  huangyuan's unet with ewt  [normal] CL 1 0 0 0  69.36 
 (65.19) 
 [0.824] 
91.23
(22)
[1.887]
1.40
(82)
[-0.453]
3.93
(115)
[0.144]
2.30
(17)
[-2.058]
1.81
(13)
[-2.073]
99.97
(148)
[1.089]
99.91
(140)
[1.098]
0.12
(154)
[-1.186]
0.48
(152)
[-1.271]
0.40
(156)
[-1.326]
99.52
(152)
[1.273]
15.66
(160)
[1.384]
0.23
(154)
[-1.266]
-39.88
(161)
[-1.430]
12.29
(153)
[1.329]
0.31
(152)
[-1.280]
3.57
(16)
[-2.102]
2.22
(9)
[-2.037]
8.53
(22)
[-1.920]
7.18
(22)
[-1.891]
94.03
(22)
[1.671]
92.60
(22)
[1.857]
92.28
(22)
[1.853]
3.90
(22)
[-1.868]
92.51
(22)
[1.737]
2.14
(21)
[-1.953]
6.27
(19)
[-2.002]
91.55
(22)
[1.867]
4.56
(22)
[-1.416]
91.61
(22)
[1.828]
90.65
(22)
[2.009]
93.40
(22)
[1.854]
93.90
(22)
[1.891]
93.68
(22)
[1.876]
95.52
(21)
[1.932]
2.42
(22)
[-1.714]
 83.  huangyuan's unet pspnet  [normal] CL 1 0 0 0  71.06 
 (57.72) 
 [0.959] 
97.25
(7)
[2.110]
1.52
(83)
[-0.429]
0.41
(29)
[-0.726]
0.76
(7)
[-2.124]
0.46
(5)
[-2.131]
99.92
(140)
[1.088]
99.93
(144)
[1.098]
0.75
(147)
[-1.165]
1.02
(148)
[-1.254]
1.06
(152)
[-1.306]
98.98
(148)
[1.256]
15.39
(150)
[1.335]
0.96
(148)
[-1.244]
-38.82
(156)
[-1.406]
11.83
(145)
[1.211]
1.00
(149)
[-1.259]
4.12
(18)
[-2.059]
3.21
(19)
[-1.947]
5.24
(17)
[-2.113]
4.34
(17)
[-2.080]
97.70
(12)
[1.943]
95.76
(15)
[2.050]
95.62
(15)
[2.058]
2.25
(15)
[-2.022]
96.09
(15)
[2.000]
1.80
(18)
[-2.034]
5.86
(18)
[-2.032]
93.57
(18)
[1.995]
1.36
(16)
[-1.878]
95.56
(17)
[2.037]
93.18
(17)
[2.143]
96.43
(17)
[2.058]
96.43
(17)
[2.064]
96.16
(17)
[2.045]
96.70
(14)
[2.013]
0.99
(8)
[-2.062]
 84.  guloleg's HOG  [normal] 1 0 1 0  53.15 
 (128.78) 
 [-0.758] 
11.59
(146)
[-1.059]
1.54
(84)
[-0.426]
9.62
(148)
[1.550]
76.51
(152)
[1.147]
77.17
(152)
[1.174]
51.11
(81)
[-0.228]
46.26
(79)
[-0.371]
35.67
(80)
[-0.015]
52.72
(79)
[0.293]
49.37
(81)
[0.134]
47.28
(80)
[-0.289]
12.13
(99)
[0.726]
47.43
(79)
[0.156]
29.09
(79)
[0.164]
12.53
(154)
[1.389]
49.14
(79)
[0.185]
37.69
(130)
[0.616]
32.92
(140)
[0.769]
60.40
(158)
[1.130]
55.62
(159)
[1.319]
52.72
(157)
[-1.387]
43.59
(156)
[-1.149]
41.08
(158)
[-1.288]
36.90
(154)
[1.203]
50.46
(158)
[-1.356]
13.59
(141)
[0.813]
46.09
(143)
[0.907]
42.23
(154)
[-1.248]
27.03
(158)
[1.833]
30.87
(158)
[-1.372]
33.00
(156)
[-1.043]
48.91
(155)
[-1.144]
49.98
(152)
[-1.114]
42.69
(158)
[-1.599]
59.55
(104)
[-0.524]
12.24
(135)
[0.676]
 85.  v-andrearczyk's FCNT sup.  [normal] CL 1 0 1 0  95.98 
 (19.56) 
 [1.768] 
96.01
(15)
[2.064]
1.56
(85)
[-0.422]
1.20
(65)
[-0.532]
0.78
(10)
[-2.123]
0.89
(10)
[-2.113]
2.71
(7)
[-1.532]
2.29
(8)
[-1.574]
93.95
(8)
[1.906]
96.73
(7)
[1.611]
97.02
(7)
[1.555]
3.27
(7)
[-1.605]
0.68
(22)
[-1.407]
96.68
(7)
[1.640]
95.10
(7)
[1.689]
0.86
(14)
[-1.593]
96.77
(7)
[1.615]
5.55
(22)
[-1.945]
3.75
(22)
[-1.898]
7.69
(21)
[-1.969]
5.89
(21)
[-1.977]
96.81
(21)
[1.877]
94.16
(21)
[1.952]
94.03
(21)
[1.960]
3.06
(21)
[-1.946]
94.69
(21)
[1.897]
2.27
(22)
[-1.920]
7.56
(22)
[-1.908]
91.69
(21)
[1.876]
1.96
(21)
[-1.791]
93.84
(21)
[1.946]
90.74
(21)
[2.014]
95.10
(21)
[1.969]
95.11
(21)
[1.974]
94.77
(21)
[1.951]
95.46
(22)
[1.928]
1.32
(14)
[-1.981]
 86.  huangyuan's unet pspnet_ewt  [normal] CL 1 0 0 0  71.40 
 (54.42) 
 [0.991] 
98.09
(3)
[2.141]
1.70
(86)
[-0.395]
0.00
(1)
[-0.828]
0.37
(1)
[-2.141]
0.09
(1)
[-2.147]
99.94
(142)
[1.089]
99.93
(142)
[1.098]
0.13
(152)
[-1.186]
0.24
(153)
[-1.278]
0.39
(157)
[-1.326]
99.76
(153)
[1.280]
15.45
(153)
[1.345]
0.25
(152)
[-1.266]
-39.86
(160)
[-1.429]
11.84
(146)
[1.215]
0.28
(153)
[-1.281]
3.20
(10)
[-2.132]
2.70
(15)
[-1.994]
3.95
(10)
[-2.189]
3.44
(10)
[-2.139]
98.18
(9)
[1.979]
96.71
(10)
[2.109]
96.55
(10)
[2.115]
1.75
(10)
[-2.068]
96.57
(10)
[2.035]
1.48
(14)
[-2.111]
4.90
(14)
[-2.102]
94.58
(14)
[2.059]
1.08
(10)
[-1.919]
96.60
(10)
[2.091]
94.77
(10)
[2.227]
97.29
(10)
[2.117]
97.29
(10)
[2.123]
97.15
(10)
[2.113]
97.44
(6)
[2.063]
0.77
(2)
[-2.115]
 86.  huangyuan's unet psp21ewt  [normal] CL 1 0 0 0  97.67 
 (9.94) 
 [1.882] 
98.09
(3)
[2.141]
1.70
(86)
[-0.395]
0.00
(1)
[-0.828]
0.37
(1)
[-2.141]
0.09
(1)
[-2.147]
1.57
(6)
[-1.563]
1.82
(7)
[-1.587]
96.52
(4)
[1.990]
98.18
(4)
[1.654]
98.01
(4)
[1.584]
1.82
(4)
[-1.648]
0.39
(13)
[-1.460]
98.08
(4)
[1.682]
97.27
(4)
[1.740]
0.29
(8)
[-1.739]
98.09
(4)
[1.654]
3.20
(10)
[-2.132]
2.70
(15)
[-1.994]
3.95
(10)
[-2.189]
3.44
(10)
[-2.139]
98.18
(9)
[1.979]
96.71
(10)
[2.109]
96.55
(10)
[2.115]
1.75
(10)
[-2.068]
96.57
(10)
[2.035]
1.48
(14)
[-2.111]
4.90
(14)
[-2.102]
94.58
(14)
[2.059]
1.08
(10)
[-1.919]
96.60
(10)
[2.091]
94.77
(10)
[2.227]
97.29
(10)
[2.117]
97.29
(10)
[2.123]
97.15
(10)
[2.113]
97.44
(6)
[2.063]
0.77
(2)
[-2.115]
 88.  huangyuan's unet without ewt  [normal] CL 1 0 0 0  71.88 
 (51.14) 
 [1.023] 
96.71
(10)
[2.090]
1.71
(88)
[-0.393]
0.00
(1)
[-0.828]
0.68
(5)
[-2.128]
0.48
(6)
[-2.131]
99.98
(150)
[1.090]
99.98
(150)
[1.099]
0.83
(145)
[-1.162]
0.93
(149)
[-1.257]
1.05
(153)
[-1.306]
99.07
(149)
[1.259]
15.53
(157)
[1.359]
0.96
(149)
[-1.244]
-39.07
(157)
[-1.411]
11.68
(140)
[1.173]
0.97
(150)
[-1.260]
2.13
(1)
[-2.217]
1.46
(1)
[-2.107]
3.44
(6)
[-2.219]
2.78
(6)
[-2.183]
98.26
(7)
[1.984]
97.19
(6)
[2.138]
97.20
(6)
[2.155]
1.45
(4)
[-2.096]
97.20
(8)
[2.082]
0.96
(1)
[-2.237]
2.99
(1)
[-2.241]
96.73
(1)
[2.195]
0.77
(4)
[-1.964]
97.34
(4)
[2.131]
95.88
(4)
[2.286]
97.82
(4)
[2.152]
97.84
(4)
[2.160]
98.01
(6)
[2.172]
97.70
(2)
[2.081]
0.89
(6)
[-2.087]
 88.  huangyuan's unet unet21  [normal] CL 1 0 0 0  97.84 
 (7.19) 
 [1.903] 
96.71
(10)
[2.090]
1.71
(88)
[-0.393]
0.00
(1)
[-0.828]
0.68
(5)
[-2.128]
0.48
(6)
[-2.131]
0.72
(1)
[-1.586]
0.70
(1)
[-1.618]
95.86
(5)
[1.969]
96.91
(6)
[1.616]
97.38
(6)
[1.565]
3.09
(6)
[-1.610]
0.41
(14)
[-1.456]
97.01
(6)
[1.650]
95.37
(6)
[1.696]
0.61
(10)
[-1.657]
97.08
(6)
[1.624]
2.13
(1)
[-2.217]
1.46
(1)
[-2.107]
3.44
(6)
[-2.219]
2.78
(6)
[-2.183]
98.26
(7)
[1.984]
97.19
(6)
[2.138]
97.20
(6)
[2.155]
1.45
(4)
[-2.096]
97.20
(8)
[2.082]
0.96
(1)
[-2.237]
2.99
(1)
[-2.241]
96.73
(1)
[2.195]
0.77
(4)
[-1.964]
97.34
(4)
[2.131]
95.88
(4)
[2.286]
97.82
(4)
[2.152]
97.84
(4)
[2.160]
98.01
(6)
[2.172]
97.70
(2)
[2.081]
0.89
(6)
[-2.087]
 90.  connetwork12's conn col-blur3  [normal] CL 1 0 0 0  85.80 
 (25.78) 
 [1.147] 
72.93
(25)
[1.210]
1.73
(90)
[-0.390]
2.74
(108)
[-0.151]
18.89
(25)
[-1.341]
18.74
(25)
[-1.344]
9.21
(12)
[-1.357]
9.78
(12)
[-1.369]
80.08
(12)
[1.449]
87.78
(12)
[1.343]
89.19
(12)
[1.321]
12.22
(12)
[-1.337]
2.59
(27)
[-1.051]
87.40
(12)
[1.360]
81.67
(12)
[1.379]
3.15
(22)
[-1.008]
87.92
(12)
[1.349]
16.64
(25)
[-1.061]
12.55
(25)
[-1.093]
22.57
(25)
[-1.094]
18.48
(25)
[-1.143]
88.02
(25)
[1.226]
81.18
(25)
[1.156]
80.76
(25)
[1.146]
10.90
(25)
[-1.217]
84.92
(25)
[1.178]
5.75
(25)
[-1.080]
19.43
(25)
[-1.040]
78.64
(25)
[1.052]
6.78
(24)
[-1.094]
79.07
(25)
[1.168]
72.50
(25)
[1.048]
83.47
(25)
[1.185]
83.50
(25)
[1.180]
82.47
(25)
[1.112]
84.60
(25)
[1.187]
5.03
(24)
[-1.080]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 91.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.88 
 (51.31) 
 [0.399] 
47.83
(47)
[0.282]
1.76
(91)
[-0.384]
4.44
(121)
[0.271]
43.58
(35)
[-0.275]
42.34
(34)
[-0.327]
26.14
(54)
[-0.901]
25.40
(40)
[-0.942]
62.78
(45)
[0.879]
74.68
(39)
[0.951]
75.22
(53)
[0.905]
25.32
(39)
[-0.946]
5.23
(68)
[-0.559]
72.71
(49)
[0.917]
62.02
(39)
[0.925]
4.62
(54)
[-0.633]
73.68
(48)
[0.922]
27.45
(43)
[-0.199]
23.11
(47)
[-0.128]
38.03
(49)
[-0.185]
33.69
(52)
[-0.135]
75.47
(55)
[0.297]
66.88
(46)
[0.279]
64.96
(53)
[0.177]
21.13
(46)
[-0.265]
71.22
(57)
[0.171]
9.68
(44)
[-0.132]
31.53
(46)
[-0.157]
64.41
(45)
[0.153]
12.50
(52)
[-0.267]
61.59
(45)
[0.247]
55.94
(44)
[0.172]
69.44
(45)
[0.240]
69.85
(45)
[0.246]
67.07
(60)
[0.063]
73.51
(38)
[0.430]
9.67
(79)
[0.051]
 92.  huangyuan's unet with ewt  [normal] CL 1 0 0 0  71.77 
 (52.69) 
 [1.019] 
97.98
(5)
[2.137]
1.78
(92)
[-0.381]
0.23
(25)
[-0.770]
0.78
(8)
[-2.124]
0.68
(8)
[-2.122]
99.97
(149)
[1.090]
99.97
(149)
[1.099]
0.07
(157)
[-1.188]
0.11
(158)
[-1.281]
0.21
(158)
[-1.331]
99.89
(158)
[1.283]
15.58
(159)
[1.370]
0.13
(157)
[-1.269]
-40.12
(163)
[-1.436]
11.68
(139)
[1.173]
0.15
(158)
[-1.284]
2.29
(4)
[-2.204]
1.61
(3)
[-2.094]
3.22
(2)
[-2.232]
2.53
(2)
[-2.200]
98.44
(4)
[1.998]
97.33
(2)
[2.147]
97.39
(2)
[2.167]
1.32
(2)
[-2.108]
97.28
(5)
[2.088]
1.02
(4)
[-2.222]
3.25
(3)
[-2.222]
96.44
(3)
[2.176]
0.74
(1)
[-1.967]
97.51
(2)
[2.139]
96.13
(2)
[2.299]
97.97
(2)
[2.162]
97.98
(2)
[2.170]
98.37
(1)
[2.196]
97.60
(4)
[2.074]
0.85
(4)
[-2.097]
 92.  huangyuan's unet unetewt21  [normal] CL 1 0 0 0  98.16 
 (6.47) 
 [1.915] 
97.98
(5)
[2.137]
1.78
(92)
[-0.381]
0.23
(25)
[-0.770]
0.78
(8)
[-2.124]
0.68
(8)
[-2.122]
0.78
(2)
[-1.584]
1.53
(4)
[-1.595]
97.24
(2)
[2.014]
98.32
(3)
[1.658]
98.40
(3)
[1.596]
1.68
(3)
[-1.652]
0.20
(6)
[-1.497]
98.32
(3)
[1.689]
97.49
(3)
[1.745]
0.30
(9)
[-1.737]
98.34
(3)
[1.662]
2.29
(4)
[-2.204]
1.61
(3)
[-2.094]
3.22
(2)
[-2.232]
2.53
(2)
[-2.200]
98.44
(4)
[1.998]
97.33
(2)
[2.147]
97.39
(2)
[2.167]
1.32
(2)
[-2.108]
97.28
(5)
[2.088]
1.02
(4)
[-2.222]
3.25
(3)
[-2.222]
96.44
(3)
[2.176]
0.74
(1)
[-1.967]
97.51
(2)
[2.139]
96.13
(2)
[2.299]
97.97
(2)
[2.162]
97.98
(2)
[2.170]
98.37
(1)
[2.196]
97.60
(4)
[2.074]
0.85
(4)
[-2.097]
 94.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  73.20 
 (47.17) 
 [0.423] 
49.51
(35)
[0.344]
1.80
(94)
[-0.377]
2.58
(105)
[-0.191]
43.35
(34)
[-0.285]
42.45
(35)
[-0.323]
24.23
(38)
[-0.952]
25.62
(41)
[-0.936]
63.39
(34)
[0.899]
75.17
(33)
[0.965]
76.07
(43)
[0.930]
24.83
(33)
[-0.960]
4.92
(51)
[-0.617]
73.39
(43)
[0.938]
62.75
(33)
[0.942]
4.72
(59)
[-0.606]
74.34
(41)
[0.942]
28.08
(46)
[-0.149]
23.61
(51)
[-0.082]
37.84
(47)
[-0.196]
33.36
(49)
[-0.157]
75.78
(48)
[0.320]
67.11
(41)
[0.294]
65.22
(50)
[0.193]
21.22
(47)
[-0.256]
71.47
(55)
[0.189]
9.80
(45)
[-0.103]
31.92
(47)
[-0.128]
64.20
(46)
[0.140]
12.15
(44)
[-0.317]
62.02
(44)
[0.269]
56.16
(41)
[0.183]
69.69
(44)
[0.257]
70.01
(43)
[0.256]
67.85
(51)
[0.116]
72.83
(42)
[0.383]
9.40
(65)
[-0.016]
 95.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  73.04 
 (48.28) 
 [0.410] 
49.71
(34)
[0.351]
1.80
(95)
[-0.376]
2.49
(104)
[-0.212]
42.63
(33)
[-0.316]
42.20
(33)
[-0.333]
23.49
(33)
[-0.972]
24.65
(32)
[-0.962]
63.33
(37)
[0.897]
75.10
(34)
[0.963]
76.18
(42)
[0.933]
24.90
(34)
[-0.958]
4.87
(49)
[-0.626]
73.62
(39)
[0.945]
62.66
(34)
[0.940]
4.52
(49)
[-0.657]
74.52
(36)
[0.947]
29.02
(51)
[-0.075]
24.66
(61)
[0.014]
38.09
(50)
[-0.181]
33.73
(53)
[-0.132]
75.62
(53)
[0.308]
66.56
(49)
[0.260]
64.84
(55)
[0.170]
21.60
(50)
[-0.221]
71.51
(54)
[0.192]
10.07
(54)
[-0.037]
32.94
(55)
[-0.054]
63.33
(53)
[0.085]
12.21
(46)
[-0.309]
61.52
(46)
[0.243]
55.55
(46)
[0.151]
69.24
(46)
[0.226]
69.49
(46)
[0.221]
67.81
(52)
[0.114]
71.69
(46)
[0.305]
9.02
(54)
[-0.108]
 96.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  42.31 
 (137.33) 
 [-0.932] 
17.62
(127)
[-0.836]
2.46
(96)
[-0.252]
0.00
(1)
[-0.828]
80.57
(156)
[1.323]
80.28
(156)
[1.307]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
0.07
(155)
[-1.187]
0.16
(155)
[-1.280]
2.07
(146)
[-1.276]
99.84
(155)
[1.282]
0.26
(9)
[-1.486]
0.14
(155)
[-1.269]
-0.58
(98)
[-0.522]
4.89
(64)
[-0.563]
0.17
(155)
[-1.284]
49.59
(160)
[1.564]
45.19
(160)
[1.891]
57.71
(152)
[0.972]
53.31
(156)
[1.165]
59.13
(140)
[-0.913]
45.78
(147)
[-1.015]
46.50
(147)
[-0.956]
38.81
(159)
[1.381]
55.81
(145)
[-0.963]
17.14
(160)
[1.670]
52.69
(159)
[1.389]
39.43
(157)
[-1.425]
19.33
(140)
[0.720]
37.07
(150)
[-1.045]
34.74
(153)
[-0.950]
49.18
(153)
[-1.125]
49.39
(155)
[-1.155]
51.77
(150)
[-0.980]
47.44
(158)
[-1.350]
10.64
(113)
[0.286]
 96.  test's test hadacmar_test  [normal] CL 1 0 0 0  45.32 
 (127.67) 
 [-0.842] 
17.62
(127)
[-0.836]
2.46
(96)
[-0.252]
0.00
(1)
[-0.828]
80.57
(156)
[1.323]
80.28
(156)
[1.307]
86.92
(85)
[0.738]
88.03
(85)
[0.772]
10.76
(105)
[-0.835]
12.46
(127)
[-0.912]
13.89
(130)
[-0.923]
87.54
(127)
[0.914]
0.98
(25)
[-1.350]
12.43
(125)
[-0.899]
10.92
(84)
[-0.256]
3.98
(24)
[-0.796]
12.51
(129)
[-0.913]
49.59
(160)
[1.564]
45.19
(160)
[1.891]
57.71
(152)
[0.972]
53.31
(156)
[1.165]
59.13
(140)
[-0.913]
45.78
(147)
[-1.015]
46.50
(147)
[-0.956]
38.81
(159)
[1.381]
55.81
(145)
[-0.963]
17.14
(160)
[1.670]
52.69
(159)
[1.389]
39.43
(157)
[-1.425]
19.33
(140)
[0.720]
37.07
(150)
[-1.045]
34.74
(153)
[-0.950]
49.18
(153)
[-1.125]
49.39
(155)
[-1.155]
51.77
(150)
[-0.980]
47.44
(158)
[-1.350]
10.64
(113)
[0.286]
 98.  borkojos's coocurrence&naive bayes   [normal] CL 1 0 1 0  38.25 
 (143.56) 
 [-1.231] 
5.20
(162)
[-1.295]
2.62
(98)
[-0.221]
10.47
(155)
[1.762]
81.65
(161)
[1.369]
81.56
(160)
[1.363]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
0.00
(160)
[-1.190]
0.00
(160)
[-1.285]
0.00
(160)
[-1.338]
100.00
(160)
[1.287]
0.00
(1)
[-1.533]
0.00
(160)
[-1.273]
0.00
(92)
[-0.508]
0.00
(1)
[-1.813]
0.00
(160)
[-1.289]
37.78
(132)
[0.623]
35.71
(144)
[1.024]
67.90
(162)
[1.571]
65.83
(162)
[1.995]
44.07
(162)
[-2.029]
37.89
(160)
[-1.499]
32.86
(162)
[-1.792]
41.85
(161)
[1.664]
40.88
(162)
[-2.062]
15.66
(154)
[1.312]
52.87
(161)
[1.402]
28.60
(162)
[-2.109]
35.90
(163)
[3.116]
20.21
(162)
[-1.934]
27.36
(160)
[-1.341]
41.89
(160)
[-1.616]
44.56
(160)
[-1.485]
33.90
(162)
[-2.198]
61.19
(99)
[-0.411]
11.73
(126)
[0.550]
 99.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  42.56 
 (136.39) 
 [-0.916] 
18.29
(124)
[-0.811]
2.73
(99)
[-0.200]
0.00
(1)
[-0.828]
79.69
(154)
[1.285]
79.47
(155)
[1.272]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
0.07
(156)
[-1.187]
0.16
(156)
[-1.280]
2.07
(147)
[-1.276]
99.84
(156)
[1.282]
0.25
(8)
[-1.486]
0.14
(156)
[-1.269]
-0.58
(97)
[-0.522]
4.88
(63)
[-0.564]
0.17
(156)
[-1.284]
49.11
(158)
[1.526]
44.58
(158)
[1.836]
57.47
(150)
[0.958]
52.94
(155)
[1.141]
59.38
(136)
[-0.895]
46.10
(146)
[-0.995]
46.76
(146)
[-0.940]
38.44
(158)
[1.346]
56.10
(142)
[-0.942]
16.91
(158)
[1.613]
52.06
(156)
[1.343]
40.08
(155)
[-1.384]
19.30
(137)
[0.716]
37.42
(149)
[-1.027]
34.97
(152)
[-0.938]
49.51
(152)
[-1.103]
49.73
(154)
[-1.131]
52.01
(149)
[-0.964]
47.92
(157)
[-1.317]
10.63
(112)
[0.283]
 99.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  45.57 
 (126.39) 
 [-0.826] 
18.29
(123)
[-0.811]
2.73
(99)
[-0.200]
0.00
(1)
[-0.828]
79.69
(154)
[1.285]
79.47
(154)
[1.272]
86.92
(85)
[0.738]
88.03
(85)
[0.772]
10.76
(106)
[-0.835]
12.46
(128)
[-0.912]
13.89
(129)
[-0.923]
87.54
(128)
[0.914]
0.98
(24)
[-1.350]
12.43
(126)
[-0.899]
10.92
(83)
[-0.256]
3.98
(23)
[-0.797]
12.51
(130)
[-0.913]
49.11
(159)
[1.526]
44.59
(159)
[1.836]
57.46
(149)
[0.958]
52.94
(154)
[1.141]
59.38
(135)
[-0.895]
46.10
(145)
[-0.995]
46.76
(145)
[-0.940]
38.44
(157)
[1.346]
56.10
(143)
[-0.942]
16.91
(159)
[1.613]
52.06
(157)
[1.343]
40.08
(156)
[-1.384]
19.30
(136)
[0.716]
37.42
(148)
[-1.027]
34.98
(151)
[-0.938]
49.51
(151)
[-1.103]
49.73
(153)
[-1.131]
52.01
(148)
[-0.963]
47.92
(156)
[-1.317]
10.63
(111)
[0.283]
 101.  huangyuan's unet Siamese_ewt  [normal] CL 1 0 0 0  51.10 
 (99.64) 
 [-0.420] 
37.21
(82)
[-0.111]
2.74
(101)
[-0.199]
0.53
(32)
[-0.698]
54.67
(83)
[0.204]
55.73
(87)
[0.250]
98.82
(137)
[1.059]
98.50
(135)
[1.059]
3.26
(140)
[-1.082]
5.30
(139)
[-1.126]
7.91
(140)
[-1.102]
94.70
(139)
[1.128]
14.08
(132)
[1.089]
5.47
(139)
[-1.108]
-31.98
(147)
[-1.247]
11.56
(135)
[1.141]
5.93
(139)
[-1.111]
33.57
(92)
[0.288]
27.55
(103)
[0.278]
43.45
(77)
[0.134]
37.43
(76)
[0.113]
72.42
(74)
[0.071]
60.84
(78)
[-0.091]
61.05
(78)
[-0.063]
24.82
(77)
[0.079]
69.76
(70)
[0.063]
11.35
(88)
[0.271]
37.92
(92)
[0.310]
58.76
(90)
[-0.204]
14.70
(83)
[0.051]
54.12
(81)
[-0.147]
47.90
(82)
[-0.254]
63.45
(80)
[-0.163]
63.64
(80)
[-0.180]
65.07
(74)
[-0.074]
62.58
(90)
[-0.317]
10.81
(115)
[0.327]
 102.  veselj38's Histogram ratio features 1.14  [normal] CL 1 0 0 0  44.34 
 (131.75) 
 [-0.957] 
11.37
(149)
[-1.067]
2.86
(102)
[-0.176]
1.68
(80)
[-0.413]
81.35
(159)
[1.357]
81.26
(158)
[1.350]
91.69
(91)
[0.866]
90.20
(90)
[0.832]
11.69
(95)
[-0.805]
16.98
(89)
[-0.777]
19.83
(91)
[-0.747]
83.02
(89)
[0.779]
13.94
(126)
[1.065]
16.28
(90)
[-0.783]
-16.61
(104)
[-0.892]
9.85
(107)
[0.705]
17.14
(90)
[-0.775]
45.40
(153)
[1.230]
38.20
(148)
[1.253]
59.95
(157)
[1.104]
52.76
(153)
[1.129]
54.94
(155)
[-1.223]
43.06
(157)
[-1.182]
43.55
(155)
[-1.136]
37.37
(155)
[1.247]
53.59
(153)
[-1.127]
14.94
(148)
[1.138]
50.26
(152)
[1.212]
45.73
(145)
[-1.027]
20.56
(145)
[0.898]
35.85
(156)
[-1.109]
32.78
(157)
[-1.054]
48.74
(156)
[-1.155]
49.14
(157)
[-1.171]
52.34
(146)
[-0.941]
46.77
(160)
[-1.396]
11.64
(125)
[0.529]
 103.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  43.91 
 (133.31) 
 [-0.831] 
20.12
(117)
[-0.743]
3.45
(103)
[-0.064]
1.13
(52)
[-0.549]
76.47
(151)
[1.145]
76.15
(150)
[1.130]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
0.07
(158)
[-1.188]
0.16
(157)
[-1.280]
2.30
(145)
[-1.269]
99.84
(157)
[1.282]
0.27
(10)
[-1.483]
0.13
(158)
[-1.270]
-0.66
(99)
[-0.524]
4.95
(66)
[-0.548]
0.16
(157)
[-1.284]
46.92
(156)
[1.352]
42.32
(156)
[1.629]
55.11
(136)
[0.819]
50.50
(149)
[0.979]
61.41
(122)
[-0.744]
48.36
(136)
[-0.857]
49.15
(130)
[-0.793]
36.47
(152)
[1.163]
58.11
(131)
[-0.794]
16.06
(156)
[1.408]
49.46
(148)
[1.153]
42.95
(152)
[-1.202]
18.43
(127)
[0.591]
40.36
(138)
[-0.872]
37.38
(138)
[-0.811]
51.98
(144)
[-0.936]
52.17
(147)
[-0.964]
53.93
(143)
[-0.832]
50.78
(148)
[-1.122]
10.49
(108)
[0.249]
 104.  borkojos's coocurrence&naive bayes   [normal] CL 1 0 1 0  37.57 
 (142.36) 
 [-1.230] 
8.57
(156)
[-1.171]
3.56
(104)
[-0.043]
0.00
(1)
[-0.828]
87.10
(163)
[1.605]
87.36
(163)
[1.613]
100.00
(151)
[1.090]
100.00
(151)
[1.100]
0.00
(160)
[-1.190]
0.00
(160)
[-1.285]
0.00
(160)
[-1.338]
100.00
(160)
[1.287]
0.00
(3)
[-1.533]
0.00
(160)
[-1.273]
-0.01
(94)
[-0.509]
0.05
(3)
[-1.799]
0.00
(160)
[-1.289]
52.26
(162)
[1.776]
47.25
(162)
[2.080]
66.91
(161)
[1.513]
61.91
(161)
[1.735]
47.05
(160)
[-1.807]
35.99
(162)
[-1.615]
34.91
(161)
[-1.667]
45.36
(162)
[1.990]
43.86
(161)
[-1.842]
17.95
(162)
[1.865]
60.45
(162)
[1.956]
30.50
(161)
[-1.988]
26.96
(156)
[1.824]
24.18
(161)
[-1.724]
26.95
(162)
[-1.363]
41.39
(161)
[-1.650]
42.00
(161)
[-1.660]
40.18
(159)
[-1.770]
45.12
(161)
[-1.509]
11.05
(118)
[0.385]
 105.  veselj38's Histogram ratio features 1.16  [normal] CL 1 0 0 0  48.48 
 (116.50) 
 [-0.757] 
20.79
(114)
[-0.718]
3.66
(105)
[-0.025]
7.87
(139)
[1.118]
63.58
(115)
[0.589]
63.60
(119)
[0.589]
94.63
(108)
[0.946]
88.88
(88)
[0.796]
12.66
(87)
[-0.773]
18.75
(87)
[-0.724]
20.59
(88)
[-0.724]
81.25
(87)
[0.726]
14.98
(143)
[1.258]
16.94
(88)
[-0.763]
-21.59
(133)
[-1.007]
13.12
(158)
[1.541]
18.18
(87)
[-0.743]
29.30
(54)
[-0.052]
23.58
(49)
[-0.084]
54.79
(132)
[0.801]
49.07
(141)
[0.885]
58.97
(143)
[-0.925]
51.02
(116)
[-0.693]
48.18
(136)
[-0.853]
30.51
(115)
[0.608]
56.10
(141)
[-0.941]
11.57
(104)
[0.324]
38.31
(98)
[0.339]
53.00
(126)
[-0.567]
23.92
(155)
[1.384]
39.25
(145)
[-0.931]
37.70
(135)
[-0.794]
53.48
(135)
[-0.835]
55.17
(130)
[-0.759]
50.12
(153)
[-1.092]
63.96
(85)
[-0.222]
15.42
(155)
[1.449]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 106.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.25 
 (55.67) 
 [0.364] 
48.12
(44)
[0.292]
3.88
(106)
[0.017]
2.16
(95)
[-0.295]
45.46
(47)
[-0.194]
44.59
(41)
[-0.230]
25.75
(50)
[-0.911]
26.20
(45)
[-0.920]
62.27
(48)
[0.862]
73.67
(49)
[0.920]
75.83
(45)
[0.923]
26.33
(49)
[-0.915]
5.56
(74)
[-0.498]
72.46
(50)
[0.910]
60.50
(49)
[0.890]
4.89
(65)
[-0.563]
73.48
(50)
[0.916]
29.07
(52)
[-0.071]
23.60
(50)
[-0.083]
38.90
(59)
[-0.134]
33.43
(50)
[-0.152]
75.08
(59)
[0.268]
65.79
(55)
[0.212]
64.57
(58)
[0.153]
21.81
(52)
[-0.201]
70.65
(62)
[0.128]
9.88
(47)
[-0.083]
32.25
(48)
[-0.104]
63.68
(49)
[0.107]
13.03
(58)
[-0.191]
60.30
(57)
[0.179]
54.88
(52)
[0.116]
68.57
(57)
[0.182]
68.89
(54)
[0.180]
66.05
(66)
[-0.007]
72.38
(44)
[0.352]
9.49
(68)
[0.006]
 107.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  60.89 
 (108.72) 
 [-0.291] 
22.93
(105)
[-0.639]
4.06
(107)
[0.051]
2.18
(98)
[-0.290]
70.92
(137)
[0.906]
70.11
(135)
[0.869]
35.12
(72)
[-0.658]
38.20
(74)
[-0.591]
49.56
(76)
[0.443]
62.49
(76)
[0.586]
67.78
(73)
[0.683]
37.51
(77)
[-0.581]
6.88
(91)
[-0.252]
62.05
(76)
[0.596]
43.74
(76)
[0.502]
7.22
(93)
[0.031]
63.50
(76)
[0.616]
41.22
(141)
[0.897]
34.82
(143)
[0.943]
52.06
(110)
[0.640]
45.66
(127)
[0.658]
64.41
(102)
[-0.522]
52.19
(106)
[-0.622]
52.03
(112)
[-0.617]
32.15
(133)
[0.761]
60.98
(112)
[-0.583]
13.72
(142)
[0.845]
45.50
(141)
[0.864]
49.95
(136)
[-0.761]
18.19
(124)
[0.556]
43.75
(123)
[-0.693]
40.29
(112)
[-0.657]
55.27
(122)
[-0.715]
55.53
(127)
[-0.734]
55.13
(134)
[-0.751]
56.46
(118)
[-0.735]
10.43
(107)
[0.235]
 108.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.20 
 (51.47) 
 [0.378] 
44.44
(67)
[0.156]
4.22
(108)
[0.081]
0.00
(1)
[-0.828]
51.71
(78)
[0.076]
51.12
(73)
[0.051]
26.17
(55)
[-0.900]
25.28
(38)
[-0.945]
63.12
(42)
[0.890]
74.96
(36)
[0.959]
75.63
(48)
[0.917]
25.04
(36)
[-0.954]
5.04
(60)
[-0.594]
73.43
(42)
[0.939]
62.43
(36)
[0.934]
4.46
(45)
[-0.672]
74.26
(42)
[0.939]
28.96
(50)
[-0.079]
24.11
(57)
[-0.036]
38.62
(54)
[-0.150]
33.77
(55)
[-0.129]
75.64
(52)
[0.309]
66.13
(51)
[0.233]
65.01
(52)
[0.180]
21.46
(49)
[-0.234]
71.08
(58)
[0.161]
9.90
(49)
[-0.078]
32.39
(51)
[-0.094]
63.53
(51)
[0.097]
12.60
(55)
[-0.252]
61.07
(48)
[0.219]
55.14
(48)
[0.129]
69.08
(47)
[0.216]
69.35
(49)
[0.211]
67.46
(56)
[0.090]
71.80
(45)
[0.313]
9.49
(69)
[0.007]
 109.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  71.75 
 (56.92) 
 [0.347] 
43.36
(69)
[0.117]
4.34
(109)
[0.103]
0.85
(44)
[-0.619]
51.77
(79)
[0.079]
51.68
(76)
[0.075]
25.91
(53)
[-0.907]
26.24
(46)
[-0.919]
62.84
(44)
[0.881]
74.56
(41)
[0.947]
75.28
(52)
[0.907]
25.44
(41)
[-0.942]
5.09
(65)
[-0.585]
73.19
(45)
[0.932]
61.84
(41)
[0.921]
4.23
(32)
[-0.732]
73.96
(46)
[0.930]
30.01
(57)
[0.004]
25.22
(69)
[0.066]
38.95
(60)
[-0.131]
34.17
(59)
[-0.103]
75.03
(60)
[0.265]
65.49
(58)
[0.194]
64.47
(60)
[0.147]
22.10
(57)
[-0.174]
70.61
(63)
[0.126]
10.16
(55)
[-0.016]
33.21
(57)
[-0.034]
62.74
(56)
[0.047]
12.65
(56)
[-0.246]
60.62
(53)
[0.196]
54.77
(57)
[0.110]
68.67
(55)
[0.188]
68.87
(55)
[0.179]
67.28
(58)
[0.077]
70.88
(54)
[0.250]
9.45
(67)
[-0.004]
 109.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.67 
 (47.19) 
 [0.404] 
44.77
(65)
[0.169]
4.34
(109)
[0.103]
0.84
(42)
[-0.621]
50.20
(68)
[0.011]
50.70
(70)
[0.033]
25.11
(44)
[-0.928]
25.99
(43)
[-0.926]
63.91
(32)
[0.916]
75.06
(35)
[0.962]
75.78
(47)
[0.921]
24.94
(35)
[-0.957]
4.79
(44)
[-0.641]
74.03
(32)
[0.957]
62.59
(35)
[0.938]
4.19
(29)
[-0.742]
74.69
(33)
[0.952]
28.87
(49)
[-0.087]
24.09
(56)
[-0.038]
37.64
(45)
[-0.208]
32.86
(45)
[-0.190]
75.95
(47)
[0.333]
66.58
(47)
[0.261]
66.14
(45)
[0.249]
21.12
(45)
[-0.266]
71.99
(48)
[0.228]
9.82
(46)
[-0.098]
32.25
(49)
[-0.104]
63.95
(48)
[0.124]
12.03
(42)
[-0.335]
62.45
(41)
[0.292]
56.14
(42)
[0.182]
70.13
(41)
[0.286]
70.32
(41)
[0.278]
69.38
(41)
[0.220]
71.68
(47)
[0.304]
9.54
(71)
[0.019]
 111.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  71.94 
 (54.44) 
 [0.357] 
44.64
(66)
[0.164]
4.37
(111)
[0.110]
0.83
(37)
[-0.624]
50.23
(69)
[0.012]
50.16
(69)
[0.010]
25.79
(51)
[-0.910]
26.74
(50)
[-0.905]
63.16
(40)
[0.891]
74.69
(38)
[0.951]
75.39
(51)
[0.910]
25.31
(38)
[-0.946]
4.95
(54)
[-0.612]
73.52
(41)
[0.942]
62.04
(38)
[0.925]
4.09
(27)
[-0.766]
74.24
(43)
[0.939]
30.31
(62)
[0.028]
25.58
(74)
[0.099]
38.75
(56)
[-0.143]
34.02
(58)
[-0.113]
75.31
(58)
[0.285]
65.55
(57)
[0.197]
64.79
(56)
[0.167]
22.04
(55)
[-0.180]
70.91
(61)
[0.148]
10.27
(56)
[0.012]
33.67
(58)
[-0.000]
62.39
(60)
[0.025]
12.53
(54)
[-0.263]
60.88
(50)
[0.209]
54.97
(50)
[0.120]
68.87
(53)
[0.201]
69.03
(53)
[0.189]
67.77
(53)
[0.111]
70.63
(56)
[0.233]
9.21
(57)
[-0.061]
 111.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  72.78 
 (46.53) 
 [0.404] 
45.62
(59)
[0.200]
4.37
(111)
[0.110]
0.84
(39)
[-0.622]
49.52
(66)
[-0.018]
49.56
(66)
[-0.016]
25.11
(45)
[-0.928]
24.77
(35)
[-0.959]
64.24
(30)
[0.927]
75.28
(30)
[0.969]
76.66
(35)
[0.948]
24.72
(30)
[-0.964]
4.68
(39)
[-0.661]
74.34
(30)
[0.966]
62.92
(30)
[0.946]
4.49
(48)
[-0.666]
75.09
(30)
[0.964]
29.09
(53)
[-0.069]
24.39
(60)
[-0.011]
37.71
(46)
[-0.204]
33.01
(46)
[-0.180]
76.06
(44)
[0.340]
66.57
(48)
[0.260]
66.21
(44)
[0.253]
21.11
(44)
[-0.267]
71.83
(50)
[0.215]
9.99
(51)
[-0.055]
32.89
(54)
[-0.058]
63.32
(54)
[0.085]
12.08
(43)
[-0.327]
62.32
(42)
[0.285]
56.06
(43)
[0.178]
70.01
(42)
[0.279]
70.23
(42)
[0.271]
69.42
(40)
[0.223]
71.46
(48)
[0.290]
9.25
(58)
[-0.053]
 113.  luptarad's laws masks & kNN 1.0  [normal] CL 1 0 1 0  57.44 
 (111.81) 
 [-0.464] 
24.57
(101)
[-0.579]
4.40
(113)
[0.115]
9.46
(147)
[1.511]
58.04
(94)
[0.350]
55.34
(85)
[0.233]
51.04
(80)
[-0.229]
47.53
(81)
[-0.336]
36.75
(79)
[0.021]
49.97
(80)
[0.211]
51.28
(80)
[0.191]
50.03
(81)
[-0.207]
7.75
(93)
[-0.090]
45.09
(81)
[0.085]
24.95
(81)
[0.068]
11.67
(138)
[1.169]
47.24
(80)
[0.129]
33.82
(94)
[0.307]
28.69
(116)
[0.382]
54.77
(131)
[0.799]
49.64
(144)
[0.922]
59.71
(133)
[-0.870]
51.67
(110)
[-0.653]
48.01
(138)
[-0.863]
31.26
(126)
[0.678]
55.09
(149)
[-1.016]
13.10
(137)
[0.694]
43.21
(135)
[0.696]
47.59
(141)
[-0.909]
22.73
(151)
[1.213]
41.16
(133)
[-0.830]
39.98
(117)
[-0.673]
54.99
(124)
[-0.734]
56.46
(118)
[-0.671]
49.53
(155)
[-1.133]
66.56
(73)
[-0.045]
10.40
(106)
[0.228]
 114.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  73.12 
 (43.97) 
 [0.435] 
45.39
(62)
[0.192]
4.58
(114)
[0.150]
0.00
(1)
[-0.828]
50.24
(70)
[0.013]
50.10
(68)
[0.007]
25.21
(46)
[-0.926]
24.28
(31)
[-0.972]
63.97
(31)
[0.918]
75.24
(31)
[0.967]
75.95
(44)
[0.926]
24.76
(31)
[-0.962]
4.84
(46)
[-0.632]
73.91
(34)
[0.954]
62.86
(31)
[0.944]
4.47
(46)
[-0.671]
74.61
(34)
[0.950]
27.74
(44)
[-0.177]
22.86
(45)
[-0.150]
37.25
(43)
[-0.231]
32.37
(43)
[-0.222]
76.64
(41)
[0.383]
67.50
(40)
[0.317]
66.67
(43)
[0.282]
20.32
(40)
[-0.340]
72.36
(44)
[0.254]
9.55
(43)
[-0.163]
31.36
(44)
[-0.169]
64.78
(44)
[0.177]
11.94
(41)
[-0.347]
63.07
(40)
[0.325]
56.67
(40)
[0.210]
70.69
(39)
[0.325]
70.96
(39)
[0.321]
69.53
(39)
[0.231]
72.92
(41)
[0.389]
9.52
(70)
[0.013]
 115.  huangyuan's unet pspnet_ewt  [normal] CL 1 0 0 0  67.18 
 (66.69) 
 [0.602] 
86.98
(23)
[1.730]
4.66
(115)
[0.164]
8.57
(145)
[1.292]
3.58
(22)
[-2.002]
3.35
(22)
[-2.007]
99.90
(139)
[1.088]
99.69
(139)
[1.091]
0.66
(149)
[-1.168]
1.49
(144)
[-1.240]
4.02
(144)
[-1.218]
98.51
(144)
[1.242]
15.39
(149)
[1.334]
1.10
(147)
[-1.240]
-38.44
(152)
[-1.397]
12.72
(155)
[1.437]
1.30
(144)
[-1.250]
5.90
(23)
[-1.916]
4.64
(23)
[-1.816]
13.19
(23)
[-1.646]
11.92
(23)
[-1.577]
91.18
(24)
[1.460]
88.59
(23)
[1.611]
87.74
(23)
[1.574]
6.09
(23)
[-1.664]
87.65
(24)
[1.380]
3.38
(23)
[-1.652]
10.41
(23)
[-1.699]
85.77
(23)
[1.502]
6.81
(25)
[-1.090]
87.39
(23)
[1.606]
84.75
(23)
[1.696]
90.07
(23)
[1.630]
90.76
(23)
[1.676]
88.61
(23)
[1.531]
95.05
(23)
[1.900]
7.48
(27)
[-0.483]
 116.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  71.37 
 (61.83) 
 [0.320] 
45.61
(60)
[0.200]
4.76
(116)
[0.184]
1.40
(75)
[-0.483]
48.59
(61)
[-0.059]
46.96
(56)
[-0.128]
29.07
(63)
[-0.822]
27.65
(54)
[-0.880]
61.03
(53)
[0.821]
72.68
(54)
[0.891]
74.60
(57)
[0.886]
27.32
(54)
[-0.886]
5.88
(78)
[-0.438]
71.14
(56)
[0.870]
59.02
(54)
[0.856]
5.25
(71)
[-0.470]
72.25
(56)
[0.879]
28.70
(48)
[-0.100]
23.21
(48)
[-0.118]
39.78
(62)
[-0.082]
34.29
(60)
[-0.095]
74.09
(65)
[0.195]
65.10
(61)
[0.170]
63.63
(63)
[0.096]
22.09
(56)
[-0.175]
69.25
(75)
[0.026]
9.89
(48)
[-0.081]
32.32
(50)
[-0.099]
63.24
(55)
[0.079]
13.58
(69)
[-0.110]
59.52
(61)
[0.137]
54.25
(60)
[0.082]
68.09
(61)
[0.149]
68.51
(59)
[0.154]
65.25
(72)
[-0.061]
72.65
(43)
[0.371]
10.00
(92)
[0.129]
 117.  leskajur's LFM + kNN   [normal] CL 1 0 1 0  55.02 
 (113.58) 
 [-0.570] 
26.00
(99)
[-0.526]
5.01
(117)
[0.231]
9.42
(146)
[1.502]
60.96
(101)
[0.476]
59.65
(98)
[0.419]
66.89
(82)
[0.198]
60.33
(83)
[0.014]
31.40
(82)
[-0.155]
43.31
(82)
[0.011]
48.73
(82)
[0.115]
56.69
(82)
[-0.008]
11.45
(97)
[0.600]
39.22
(82)
[-0.092]
14.96
(82)
[-0.163]
13.51
(159)
[1.639]
41.76
(82)
[-0.036]
33.27
(87)
[0.264]
27.61
(104)
[0.284]
54.71
(130)
[0.796]
49.05
(140)
[0.883]
59.22
(137)
[-0.907]
50.90
(117)
[-0.700]
48.17
(137)
[-0.853]
30.99
(120)
[0.653]
54.01
(152)
[-1.095]
12.73
(132)
[0.605]
41.80
(127)
[0.594]
48.43
(140)
[-0.856]
23.69
(153)
[1.351]
39.50
(142)
[-0.917]
39.26
(124)
[-0.711]
54.30
(130)
[-0.780]
55.74
(122)
[-0.720]
47.16
(156)
[-1.294]
67.36
(67)
[0.010]
10.97
(116)
[0.365]
 118.  veselj38's Histogram ratio features 1.2  [normal] CL 1 0 0 0  44.80 
 (135.58) 
 [-0.887] 
9.36
(154)
[-1.141]
5.36
(118)
[0.296]
1.98
(88)
[-0.339]
81.54
(160)
[1.365]
81.67
(161)
[1.367]
97.62
(133)
[1.026]
97.26
(133)
[1.025]
8.59
(132)
[-0.907]
12.07
(129)
[-0.924]
16.77
(108)
[-0.838]
87.93
(129)
[0.926]
13.06
(106)
[0.900]
12.28
(129)
[-0.903]
-23.60
(142)
[-1.054]
10.12
(110)
[0.774]
13.22
(126)
[-0.892]
41.91
(144)
[0.952]
32.66
(137)
[0.745]
56.90
(143)
[0.925]
47.65
(132)
[0.791]
58.45
(145)
[-0.964]
46.19
(144)
[-0.989]
46.92
(143)
[-0.929]
34.49
(144)
[0.979]
56.51
(137)
[-0.911]
12.88
(135)
[0.642]
43.80
(137)
[0.740]
52.26
(127)
[-0.614]
19.73
(143)
[0.779]
39.64
(140)
[-0.910]
35.73
(144)
[-0.898]
52.21
(142)
[-0.921]
52.47
(145)
[-0.944]
55.12
(135)
[-0.752]
50.35
(152)
[-1.151]
15.17
(154)
[1.388]
 119.  veselj38's Histogram ratio features 1.2  [normal] CL 1 0 0 0  48.06 
 (117.86) 
 [-0.716] 
15.57
(138)
[-0.912]
6.51
(119)
[0.514]
2.94
(110)
[-0.101]
71.13
(138)
[0.915]
72.33
(143)
[0.965]
95.30
(117)
[0.964]
91.83
(94)
[0.876]
11.05
(102)
[-0.826]
15.70
(98)
[-0.815]
18.22
(95)
[-0.794]
84.30
(98)
[0.818]
12.71
(101)
[0.834]
15.21
(98)
[-0.815]
-17.88
(109)
[-0.922]
11.16
(132)
[1.039]
16.00
(96)
[-0.809]
37.96
(133)
[0.637]
28.77
(118)
[0.390]
53.48
(123)
[0.724]
44.30
(113)
[0.568]
60.31
(129)
[-0.826]
50.06
(127)
[-0.753]
50.17
(126)
[-0.731]
30.74
(118)
[0.629]
58.97
(128)
[-0.730]
11.94
(112)
[0.415]
40.87
(120)
[0.525]
55.12
(114)
[-0.434]
18.49
(128)
[0.599]
44.29
(118)
[-0.665]
39.67
(121)
[-0.690]
56.15
(117)
[-0.655]
56.48
(117)
[-0.669]
57.91
(118)
[-0.561]
55.72
(126)
[-0.785]
13.85
(149)
[1.068]
 120.  veselj38's Histogram ratio features 1.11  [normal] CL 1 0 0 0  48.57 
 (112.47) 
 [-0.652] 
16.50
(131)
[-0.877]
6.76
(120)
[0.561]
1.72
(82)
[-0.403]
71.38
(139)
[0.926]
72.09
(142)
[0.955]
95.22
(115)
[0.962]
95.25
(116)
[0.970]
10.20
(111)
[-0.854]
14.17
(111)
[-0.861]
18.03
(98)
[-0.800]
85.83
(111)
[0.863]
14.19
(134)
[1.111]
14.35
(104)
[-0.841]
-20.96
(127)
[-0.993]
10.03
(109)
[0.751]
15.15
(104)
[-0.834]
36.33
(117)
[0.507]
27.14
(94)
[0.241]
52.02
(109)
[0.637]
42.83
(102)
[0.471]
62.78
(112)
[-0.643]
51.56
(111)
[-0.661]
52.05
(111)
[-0.615]
29.84
(109)
[0.546]
61.23
(110)
[-0.564]
11.48
(100)
[0.303]
38.92
(105)
[0.383]
57.69
(98)
[-0.272]
17.60
(113)
[0.470]
46.16
(110)
[-0.566]
40.63
(110)
[-0.639]
57.18
(107)
[-0.586]
57.56
(106)
[-0.595]
60.08
(105)
[-0.414]
55.85
(124)
[-0.776]
12.91
(142)
[0.838]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 121.  veselj38's Histogram ratio features 1.20  [normal] CL 1 0 0 0  48.79 
 (110.75) 
 [-0.639] 
17.51
(129)
[-0.840]
6.76
(121)
[0.562]
1.72
(83)
[-0.403]
70.39
(136)
[0.883]
70.89
(137)
[0.903]
95.21
(114)
[0.961]
95.25
(115)
[0.970]
10.12
(112)
[-0.856]
14.09
(112)
[-0.863]
18.06
(96)
[-0.799]
85.91
(112)
[0.866]
14.07
(131)
[1.088]
14.28
(106)
[-0.843]
-21.07
(130)
[-0.995]
10.19
(111)
[0.791]
15.10
(105)
[-0.836]
36.03
(112)
[0.484]
26.82
(88)
[0.212]
51.82
(108)
[0.626]
42.61
(101)
[0.456]
63.11
(110)
[-0.618]
51.84
(108)
[-0.643]
52.46
(106)
[-0.590]
29.68
(105)
[0.531]
61.51
(107)
[-0.543]
11.42
(95)
[0.288]
38.74
(101)
[0.370]
57.91
(96)
[-0.257]
17.47
(111)
[0.451]
46.53
(107)
[-0.547]
40.98
(107)
[-0.620]
57.47
(105)
[-0.567]
57.86
(104)
[-0.575]
60.42
(103)
[-0.390]
56.10
(122)
[-0.759]
12.84
(141)
[0.822]
 122.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  44.76 
 (131.58) 
 [-0.900] 
29.46
(95)
[-0.398]
6.77
(122)
[0.563]
0.00
(1)
[-0.828]
65.63
(126)
[0.677]
66.91
(127)
[0.731]
95.41
(119)
[0.967]
97.09
(132)
[1.020]
3.94
(139)
[-1.060]
6.49
(138)
[-1.091]
12.60
(133)
[-0.962]
93.51
(138)
[1.093]
14.50
(139)
[1.168]
7.11
(138)
[-1.059]
-30.85
(146)
[-1.221]
11.96
(148)
[1.243]
7.70
(138)
[-1.058]
47.11
(157)
[1.367]
43.77
(157)
[1.761]
53.90
(127)
[0.748]
50.56
(150)
[0.983]
62.31
(114)
[-0.678]
49.00
(132)
[-0.818]
50.18
(125)
[-0.730]
36.14
(150)
[1.132]
58.93
(129)
[-0.733]
16.31
(157)
[1.468]
49.69
(149)
[1.170]
42.38
(153)
[-1.238]
17.92
(117)
[0.516]
41.15
(134)
[-0.830]
37.98
(134)
[-0.779]
52.42
(140)
[-0.907]
52.56
(143)
[-0.937]
54.86
(137)
[-0.769]
50.56
(150)
[-1.137]
10.31
(103)
[0.205]
 123.  veselj38's Histogram ratio features 1.1  [normal] CL 1 0 0 0  47.52 
 (121.89) 
 [-0.780] 
12.97
(142)
[-1.008]
7.00
(123)
[0.606]
7.92
(141)
[1.132]
69.15
(132)
[0.829]
67.92
(130)
[0.775]
94.69
(109)
[0.947]
92.48
(97)
[0.894]
10.59
(107)
[-0.841]
15.40
(99)
[-0.824]
18.04
(97)
[-0.800]
84.60
(99)
[0.827]
13.53
(113)
[0.988]
15.05
(100)
[-0.820]
-19.13
(118)
[-0.951]
10.25
(113)
[0.807]
15.82
(98)
[-0.814]
38.02
(134)
[0.642]
28.53
(114)
[0.368]
55.09
(135)
[0.818]
45.60
(126)
[0.655]
59.19
(138)
[-0.909]
48.76
(134)
[-0.832]
48.96
(133)
[-0.804]
31.68
(128)
[0.717]
57.36
(134)
[-0.849]
12.09
(120)
[0.451]
41.07
(123)
[0.540]
54.95
(117)
[-0.444]
18.63
(129)
[0.619]
43.50
(125)
[-0.706]
38.53
(130)
[-0.750]
55.30
(121)
[-0.713]
55.72
(123)
[-0.721]
57.19
(124)
[-0.611]
55.14
(130)
[-0.825]
14.53
(152)
[1.233]
 124.  veselj38's Histogram ratio features 1.20  [normal] CL 1 0 0 0  46.38 
 (126.31) 
 [-0.989] 
12.68
(143)
[-1.018]
7.00
(124)
[0.606]
23.45
(163)
[4.973]
54.85
(84)
[0.212]
54.68
(82)
[0.205]
97.34
(132)
[1.019]
93.91
(104)
[0.933]
9.08
(127)
[-0.891]
14.53
(107)
[-0.850]
13.46
(132)
[-0.936]
85.47
(107)
[0.853]
15.51
(155)
[1.357]
12.35
(127)
[-0.901]
-23.26
(140)
[-1.046]
15.67
(162)
[2.193]
13.08
(127)
[-0.896]
28.29
(47)
[-0.133]
21.02
(36)
[-0.319]
57.29
(145)
[0.947]
50.01
(146)
[0.947]
55.77
(151)
[-1.162]
47.74
(139)
[-0.895]
45.86
(151)
[-0.995]
30.54
(116)
[0.611]
54.54
(151)
[-1.057]
11.42
(96)
[0.289]
38.85
(104)
[0.378]
47.13
(142)
[-0.938]
29.32
(159)
[2.164]
36.47
(155)
[-1.077]
37.21
(139)
[-0.820]
53.21
(139)
[-0.853]
55.62
(125)
[-0.728]
51.56
(152)
[-0.994]
65.66
(78)
[-0.106]
18.53
(160)
[2.206]
 125.  veselj38's Histogram ratio features 1.1  [normal] CL 1 0 0 0  46.02 
 (128.19) 
 [-0.929] 
7.61
(159)
[-1.206]
7.45
(125)
[0.692]
12.60
(159)
[2.289]
68.39
(131)
[0.797]
69.75
(134)
[0.854]
92.58
(92)
[0.890]
92.13
(96)
[0.885]
11.56
(96)
[-0.809]
16.60
(92)
[-0.788]
18.79
(93)
[-0.777]
83.40
(92)
[0.790]
13.75
(120)
[1.029]
16.01
(91)
[-0.791]
-17.96
(111)
[-0.924]
9.84
(106)
[0.702]
16.74
(91)
[-0.787]
37.73
(131)
[0.619]
28.03
(110)
[0.322]
58.02
(155)
[0.990]
48.32
(135)
[0.835]
55.76
(152)
[-1.163]
45.31
(149)
[-1.043]
44.91
(152)
[-1.053]
33.50
(138)
[0.886]
55.32
(148)
[-0.999]
12.33
(124)
[0.509]
41.90
(128)
[0.601]
51.66
(130)
[-0.652]
23.12
(152)
[1.269]
37.94
(147)
[-0.999]
35.23
(148)
[-0.925]
51.50
(149)
[-0.969]
52.48
(144)
[-0.943]
53.04
(144)
[-0.893]
54.40
(134)
[-0.875]
17.20
(157)
[1.881]
 126.  veselj38's Histogram ratio features 1.18  [normal] CL 1 0 0 0  47.48 
 (122.58) 
 [-0.735] 
15.96
(133)
[-0.897]
7.63
(126)
[0.726]
2.91
(109)
[-0.109]
69.49
(133)
[0.844]
70.19
(136)
[0.873]
93.74
(99)
[0.922]
94.47
(107)
[0.948]
9.20
(123)
[-0.887]
13.44
(119)
[-0.883]
16.21
(110)
[-0.854]
86.56
(119)
[0.885]
14.81
(141)
[1.225]
12.61
(124)
[-0.893]
-22.71
(138)
[-1.033]
9.09
(98)
[0.511]
13.45
(124)
[-0.885]
37.50
(126)
[0.601]
28.51
(113)
[0.366]
54.11
(128)
[0.761]
45.12
(121)
[0.622]
60.48
(127)
[-0.813]
49.19
(130)
[-0.806]
50.02
(127)
[-0.740]
31.46
(127)
[0.696]
60.10
(119)
[-0.647]
11.77
(109)
[0.373]
39.56
(109)
[0.430]
57.60
(101)
[-0.277]
17.89
(116)
[0.513]
43.57
(124)
[-0.703]
38.29
(131)
[-0.762]
54.52
(128)
[-0.765]
55.03
(132)
[-0.769]
59.43
(109)
[-0.458]
51.68
(146)
[-1.061]
14.12
(151)
[1.134]
 127.  veselj38's Histogram ratio features 1.20  [normal] CL 1 0 0 0  48.95 
 (118.00) 
 [-0.749] 
13.36
(141)
[-0.993]
7.70
(127)
[0.740]
9.94
(151)
[1.630]
66.17
(127)
[0.701]
65.64
(125)
[0.677]
87.76
(87)
[0.760]
88.36
(87)
[0.781]
15.06
(85)
[-0.694]
21.76
(85)
[-0.634]
21.75
(86)
[-0.689]
78.24
(85)
[0.636]
13.55
(114)
[0.990]
20.07
(85)
[-0.669]
-10.78
(100)
[-0.757]
10.35
(120)
[0.832]
20.85
(85)
[-0.663]
37.21
(122)
[0.578]
27.64
(107)
[0.287]
54.99
(134)
[0.812]
45.42
(124)
[0.643]
60.22
(130)
[-0.832]
49.87
(129)
[-0.764]
48.46
(135)
[-0.835]
31.07
(121)
[0.660]
56.27
(140)
[-0.929]
11.98
(116)
[0.423]
40.66
(117)
[0.510]
53.19
(125)
[-0.556]
20.72
(146)
[0.921]
41.62
(132)
[-0.805]
38.64
(129)
[-0.744]
54.96
(126)
[-0.736]
55.47
(129)
[-0.739]
52.54
(145)
[-0.927]
59.46
(105)
[-0.530]
13.16
(146)
[0.900]
 128.  veselj38's Histogram ratio features 1.8  [normal] CL 1 0 0 0  46.25 
 (127.92) 
 [-0.840] 
10.69
(150)
[-1.092]
7.71
(128)
[0.742]
4.68
(123)
[0.328]
73.39
(146)
[1.013]
74.04
(145)
[1.039]
92.82
(95)
[0.897]
93.40
(101)
[0.919]
11.23
(98)
[-0.820]
14.49
(108)
[-0.851]
19.93
(89)
[-0.743]
85.51
(108)
[0.854]
12.81
(103)
[0.854]
15.58
(94)
[-0.804]
-21.92
(137)
[-1.015]
11.10
(131)
[1.024]
16.31
(93)
[-0.799]
41.76
(143)
[0.940]
32.09
(135)
[0.694]
56.26
(142)
[0.887]
46.60
(128)
[0.720]
58.71
(144)
[-0.944]
46.38
(143)
[-0.978]
47.27
(140)
[-0.908]
33.84
(139)
[0.918]
56.38
(139)
[-0.921]
12.82
(134)
[0.627]
43.46
(136)
[0.715]
52.01
(128)
[-0.630]
19.65
(142)
[0.767]
40.65
(137)
[-0.857]
36.97
(140)
[-0.833]
53.33
(137)
[-0.846]
53.53
(140)
[-0.871]
54.27
(140)
[-0.810]
53.23
(140)
[-0.955]
11.98
(129)
[0.611]
 129.  veselj38's Histogram ratio features 1.0  [normal] CL 1 0 0 0  45.86 
 (127.11) 
 [-0.986] 
8.34
(157)
[-1.179]
8.39
(129)
[0.870]
15.00
(160)
[2.882]
65.49
(125)
[0.671]
65.54
(124)
[0.673]
93.72
(98)
[0.921]
91.51
(91)
[0.868]
10.97
(104)
[-0.828]
16.16
(96)
[-0.801]
17.92
(99)
[-0.803]
83.84
(96)
[0.804]
13.12
(107)
[0.911]
15.23
(96)
[-0.814]
-18.96
(113)
[-0.947]
12.85
(157)
[1.471]
16.04
(95)
[-0.808]
32.62
(78)
[0.212]
25.23
(70)
[0.066]
58.69
(156)
[1.030]
51.30
(152)
[1.032]
54.96
(154)
[-1.222]
45.19
(152)
[-1.051]
44.23
(154)
[-1.095]
33.27
(136)
[0.865]
53.54
(154)
[-1.130]
11.93
(111)
[0.411]
40.56
(115)
[0.503]
48.59
(139)
[-0.846]
27.01
(157)
[1.831]
36.61
(154)
[-1.069]
35.34
(146)
[-0.919]
51.54
(148)
[-0.966]
53.60
(139)
[-0.866]
54.08
(142)
[-0.823]
58.32
(110)
[-0.608]
20.58
(162)
[2.703]
 130.  veselj38's Histogram ratio features 1.0  [normal] CL 1 0 0 0  46.29 
 (129.69) 
 [-0.928] 
10.22
(153)
[-1.110]
8.70
(130)
[0.928]
15.69
(161)
[3.053]
62.67
(110)
[0.550]
62.44
(108)
[0.539]
94.07
(103)
[0.930]
91.53
(92)
[0.868]
8.97
(129)
[-0.894]
13.37
(123)
[-0.885]
16.78
(107)
[-0.837]
86.63
(123)
[0.887]
14.44
(138)
[1.158]
12.74
(122)
[-0.890]
-22.74
(139)
[-1.034]
12.05
(149)
[1.267]
13.70
(119)
[-0.878]
33.86
(96)
[0.311]
26.00
(80)
[0.136]
57.08
(144)
[0.935]
49.22
(142)
[0.894]
56.55
(149)
[-1.104]
47.13
(141)
[-0.932]
46.43
(149)
[-0.960]
31.83
(132)
[0.731]
54.97
(150)
[-1.025]
12.05
(119)
[0.442]
41.02
(121)
[0.536]
50.64
(134)
[-0.717]
23.90
(154)
[1.381]
39.61
(141)
[-0.912]
36.80
(142)
[-0.841]
53.25
(138)
[-0.851]
54.81
(133)
[-0.784]
55.63
(130)
[-0.717]
57.80
(112)
[-0.643]
17.09
(156)
[1.856]
 131.  veselj38's Histogram ratio features 1.17  [normal] CL 1 0 0 0  49.94 
 (107.06) 
 [-0.592] 
22.81
(107)
[-0.644]
8.71
(131)
[0.929]
7.05
(138)
[0.914]
57.22
(92)
[0.314]
58.81
(95)
[0.382]
95.06
(111)
[0.957]
95.02
(112)
[0.964]
8.43
(133)
[-0.912]
11.84
(130)
[-0.931]
15.86
(118)
[-0.865]
88.16
(130)
[0.933]
15.32
(148)
[1.320]
12.09
(130)
[-0.909]
-23.77
(143)
[-1.058]
9.25
(99)
[0.551]
12.89
(128)
[-0.902]
34.95
(101)
[0.398]
25.53
(73)
[0.094]
50.12
(102)
[0.526]
40.70
(92)
[0.329]
63.56
(106)
[-0.585]
53.02
(105)
[-0.571]
54.50
(100)
[-0.465]
28.45
(97)
[0.416]
63.96
(93)
[-0.364]
10.80
(70)
[0.139]
36.23
(80)
[0.187]
61.13
(65)
[-0.054]
15.85
(94)
[0.218]
49.46
(97)
[-0.393]
42.92
(100)
[-0.517]
59.16
(99)
[-0.453]
59.60
(99)
[-0.456]
63.84
(81)
[-0.157]
56.26
(119)
[-0.748]
12.57
(136)
[0.755]
 132.  veselj38's Histogram ratio features 1.0  [normal] CL 1 0 0 0  45.06 
 (127.42) 
 [-1.119] 
6.27
(161)
[-1.256]
8.80
(132)
[0.947]
22.17
(162)
[4.656]
60.27
(99)
[0.446]
60.22
(99)
[0.443]
92.86
(96)
[0.898]
89.87
(89)
[0.823]
11.95
(91)
[-0.796]
18.15
(88)
[-0.742]
19.62
(92)
[-0.753]
81.85
(88)
[0.744]
13.51
(112)
[0.984]
16.72
(89)
[-0.770]
-17.06
(106)
[-0.903]
13.93
(160)
[1.748]
17.69
(88)
[-0.758]
31.48
(69)
[0.121]
24.96
(67)
[0.041]
61.50
(159)
[1.195]
54.99
(158)
[1.276]
51.13
(158)
[-1.505]
41.98
(158)
[-1.248]
41.48
(157)
[-1.263]
34.59
(146)
[0.988]
51.43
(156)
[-1.285]
12.40
(125)
[0.524]
42.14
(131)
[0.618]
45.26
(146)
[-1.057]
30.52
(160)
[2.338]
32.88
(157)
[-1.266]
32.67
(158)
[-1.060]
48.63
(157)
[-1.162]
51.43
(150)
[-1.015]
52.27
(147)
[-0.946]
57.76
(113)
[-0.646]
22.06
(163)
[3.065]
 133.  veselj38's Histogram ratio features 1.21  [normal] CL 1 0 0 0  48.48 
 (116.89) 
 [-0.695] 
20.64
(115)
[-0.724]
8.84
(133)
[0.955]
5.46
(127)
[0.521]
62.70
(111)
[0.551]
62.78
(111)
[0.553]
95.42
(120)
[0.967]
94.85
(111)
[0.959]
9.45
(121)
[-0.878]
13.85
(116)
[-0.870]
17.65
(100)
[-0.811]
86.15
(116)
[0.873]
13.72
(119)
[1.023]
13.61
(112)
[-0.863]
-19.75
(122)
[-0.965]
10.26
(115)
[0.811]
14.53
(111)
[-0.853]
37.36
(124)
[0.590]
28.64
(115)
[0.378]
52.75
(119)
[0.681]
44.03
(111)
[0.551]
62.26
(115)
[-0.681]
50.86
(118)
[-0.703]
51.47
(114)
[-0.651]
30.55
(117)
[0.612]
60.33
(116)
[-0.631]
12.01
(117)
[0.432]
40.10
(113)
[0.469]
56.09
(108)
[-0.373]
17.96
(118)
[0.523]
44.52
(115)
[-0.653]
39.60
(122)
[-0.693]
55.83
(119)
[-0.677]
56.19
(120)
[-0.689]
57.90
(119)
[-0.562]
55.22
(127)
[-0.819]
11.44
(121)
[0.481]
 134.  veselj38's Histogram ratio features 1.11  [normal] CL 1 0 0 0  47.93 
 (121.69) 
 [-0.748] 
18.14
(125)
[-0.817]
8.89
(134)
[0.964]
7.92
(140)
[1.131]
62.70
(111)
[0.551]
62.80
(112)
[0.554]
95.37
(118)
[0.965]
93.85
(102)
[0.932]
8.96
(130)
[-0.895]
13.87
(115)
[-0.870]
17.39
(102)
[-0.819]
86.13
(115)
[0.872]
13.94
(125)
[1.064]
13.26
(117)
[-0.874]
-19.72
(121)
[-0.964]
10.81
(129)
[0.950]
14.27
(115)
[-0.861]
37.45
(125)
[0.597]
28.95
(119)
[0.406]
53.61
(124)
[0.731]
45.11
(120)
[0.622]
61.20
(124)
[-0.760]
49.93
(128)
[-0.760]
50.41
(123)
[-0.716]
31.07
(122)
[0.661]
59.60
(123)
[-0.684]
12.15
(122)
[0.464]
40.72
(119)
[0.514]
55.22
(113)
[-0.427]
18.64
(130)
[0.620]
43.26
(126)
[-0.719]
38.70
(127)
[-0.741]
55.05
(123)
[-0.729]
55.48
(128)
[-0.738]
56.64
(126)
[-0.648]
55.18
(128)
[-0.822]
11.40
(120)
[0.471]
 135.  veselj38's Histogram ratio features 1.2  [normal] CL 1 0 0 0  49.97 
 (106.33) 
 [-0.591] 
21.48
(113)
[-0.693]
8.97
(135)
[0.979]
4.70
(124)
[0.334]
62.26
(109)
[0.532]
61.04
(102)
[0.479]
96.20
(128)
[0.988]
97.08
(131)
[1.020]
11.10
(101)
[-0.824]
15.09
(102)
[-0.833]
16.98
(105)
[-0.831]
84.91
(102)
[0.836]
13.04
(104)
[0.896]
14.71
(102)
[-0.830]
-19.41
(120)
[-0.957]
10.97
(130)
[0.992]
15.32
(102)
[-0.829]
35.52
(104)
[0.443]
27.21
(96)
[0.247]
50.50
(103)
[0.548]
42.18
(99)
[0.428]
65.25
(100)
[-0.460]
53.81
(101)
[-0.522]
53.88
(101)
[-0.503]
28.61
(98)
[0.431]
61.19
(111)
[-0.567]
11.35
(90)
[0.273]
38.44
(99)
[0.348]
57.66
(99)
[-0.273]
17.18
(107)
[0.410]
48.77
(99)
[-0.428]
43.28
(99)
[-0.499]
59.79
(97)
[-0.410]
60.19
(96)
[-0.415]
61.08
(99)
[-0.345]
60.13
(101)
[-0.484]
11.05
(119)
[0.385]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 136.  veselj38's Histogram ratio features 1.4  [normal] CL 1 0 0 0  49.45 
 (110.03) 
 [-0.611] 
22.72
(108)
[-0.647]
9.39
(136)
[1.057]
5.43
(126)
[0.514]
58.55
(95)
[0.372]
56.94
(93)
[0.302]
96.04
(124)
[0.984]
95.81
(123)
[0.985]
8.08
(134)
[-0.924]
11.07
(132)
[-0.954]
14.09
(128)
[-0.917]
88.93
(132)
[0.956]
13.46
(109)
[0.974]
11.31
(131)
[-0.933]
-24.16
(145)
[-1.067]
10.80
(127)
[0.948]
11.90
(132)
[-0.932]
34.54
(98)
[0.365]
25.74
(75)
[0.113]
50.66
(104)
[0.558]
41.86
(97)
[0.407]
64.23
(103)
[-0.535]
53.86
(100)
[-0.519]
53.61
(104)
[-0.519]
28.09
(95)
[0.383]
62.69
(101)
[-0.457]
11.27
(85)
[0.251]
37.75
(89)
[0.297]
59.00
(87)
[-0.189]
16.71
(101)
[0.342]
47.91
(102)
[-0.474]
42.08
(103)
[-0.562]
58.43
(101)
[-0.502]
58.78
(101)
[-0.512]
61.05
(100)
[-0.347]
57.22
(116)
[-0.682]
11.61
(124)
[0.522]
 137.  veselj38's Histogram ratio features 1.2  [normal] CL 1 0 0 0  50.85 
 (100.22) 
 [-0.540] 
22.16
(110)
[-0.668]
9.48
(137)
[1.075]
5.63
(129)
[0.565]
64.35
(120)
[0.622]
63.29
(116)
[0.575]
96.20
(127)
[0.988]
96.05
(125)
[0.992]
12.03
(90)
[-0.794]
16.03
(97)
[-0.805]
18.74
(94)
[-0.779]
83.97
(97)
[0.808]
13.25
(108)
[0.935]
15.88
(92)
[-0.795]
-17.64
(108)
[-0.916]
11.19
(133)
[1.047]
16.55
(92)
[-0.792]
32.68
(82)
[0.217]
25.38
(72)
[0.080]
48.69
(96)
[0.442]
41.39
(94)
[0.376]
65.96
(98)
[-0.407]
55.28
(96)
[-0.432]
55.21
(97)
[-0.421]
27.22
(90)
[0.302]
62.15
(103)
[-0.496]
10.85
(73)
[0.151]
36.14
(79)
[0.180]
59.20
(83)
[-0.176]
16.99
(105)
[0.382]
50.26
(94)
[-0.350]
45.22
(94)
[-0.396]
61.02
(93)
[-0.328]
61.52
(92)
[-0.324]
60.41
(104)
[-0.391]
63.70
(86)
[-0.240]
10.27
(102)
[0.196]
 138.  veselj38's Histogram ratio features 1.20  [normal] CL 1 0 0 0  48.98 
 (112.44) 
 [-0.668] 
18.46
(121)
[-0.805]
9.53
(138)
[1.085]
7.93
(142)
[1.134]
61.00
(102)
[0.477]
60.48
(100)
[0.454]
95.26
(116)
[0.963]
92.95
(99)
[0.907]
7.58
(135)
[-0.940]
12.60
(126)
[-0.908]
13.61
(131)
[-0.932]
87.40
(126)
[0.910]
16.27
(163)
[1.499]
11.13
(132)
[-0.938]
-24.09
(144)
[-1.065]
9.43
(102)
[0.598]
11.95
(131)
[-0.930]
33.37
(88)
[0.271]
25.11
(68)
[0.055]
51.25
(106)
[0.592]
43.00
(103)
[0.482]
63.33
(108)
[-0.602]
53.21
(103)
[-0.559]
52.40
(107)
[-0.593]
28.77
(99)
[0.446]
60.95
(113)
[-0.585]
11.03
(80)
[0.195]
37.27
(85)
[0.262]
58.42
(94)
[-0.225]
17.85
(115)
[0.506]
47.17
(103)
[-0.513]
41.94
(104)
[-0.569]
58.40
(102)
[-0.504]
58.92
(100)
[-0.503]
59.65
(108)
[-0.443]
59.27
(106)
[-0.542]
13.81
(148)
[1.057]
 139.  veselj38's Histogram ratio features 1.11  [normal] CL 1 0 0 0  49.04 
 (113.25) 
 [-0.715] 
19.65
(118)
[-0.761]
9.84
(139)
[1.143]
11.06
(156)
[1.908]
55.91
(89)
[0.257]
56.71
(91)
[0.292]
94.05
(102)
[0.930]
95.13
(114)
[0.967]
11.73
(93)
[-0.803]
16.78
(90)
[-0.782]
15.99
(114)
[-0.861]
83.22
(90)
[0.785]
13.93
(123)
[1.063]
15.21
(97)
[-0.815]
-16.17
(102)
[-0.882]
10.33
(119)
[0.828]
15.73
(99)
[-0.817]
35.31
(103)
[0.427]
27.37
(101)
[0.262]
52.89
(120)
[0.689]
44.95
(119)
[0.611]
61.16
(125)
[-0.763]
50.50
(122)
[-0.726]
50.33
(124)
[-0.720]
30.29
(112)
[0.588]
59.59
(124)
[-0.685]
11.55
(102)
[0.319]
39.04
(106)
[0.392]
56.02
(110)
[-0.377]
19.14
(133)
[0.693]
44.06
(119)
[-0.677]
39.77
(119)
[-0.684]
56.31
(116)
[-0.645]
56.82
(114)
[-0.646]
56.47
(127)
[-0.660]
58.21
(111)
[-0.615]
12.18
(134)
[0.661]
 140.  veselj38's Histogram ratio features 1.12  [normal] CL 1 0 0 0  48.18 
 (116.42) 
 [-0.724] 
16.03
(132)
[-0.895]
9.92
(140)
[1.159]
5.03
(125)
[0.417]
70.06
(134)
[0.869]
69.18
(132)
[0.829]
92.81
(94)
[0.897]
94.66
(109)
[0.954]
12.09
(89)
[-0.791]
16.37
(94)
[-0.795]
16.20
(111)
[-0.855]
83.63
(94)
[0.797]
14.36
(137)
[1.142]
15.56
(95)
[-0.805]
-17.03
(105)
[-0.902]
9.43
(101)
[0.597]
15.90
(97)
[-0.812]
36.26
(116)
[0.502]
27.99
(109)
[0.318]
53.03
(121)
[0.697]
44.76
(117)
[0.599]
60.52
(126)
[-0.810]
50.12
(125)
[-0.749]
49.40
(129)
[-0.777]
30.87
(119)
[0.642]
57.85
(133)
[-0.813]
11.61
(106)
[0.335]
39.31
(107)
[0.412]
55.44
(111)
[-0.413]
19.31
(138)
[0.717]
43.84
(122)
[-0.688]
39.90
(118)
[-0.677]
56.31
(115)
[-0.645]
56.71
(115)
[-0.654]
55.60
(131)
[-0.719]
58.62
(107)
[-0.587]
12.69
(137)
[0.784]
 141.  veselj38's Histogram ratio features 1.11  [normal] CL 1 0 0 0  48.28 
 (117.47) 
 [-0.705] 
15.94
(135)
[-0.898]
10.09
(141)
[1.191]
6.82
(137)
[0.858]
64.00
(118)
[0.607]
63.44
(118)
[0.582]
97.02
(130)
[1.010]
96.58
(127)
[1.006]
9.84
(117)
[-0.866]
13.41
(121)
[-0.884]
14.99
(126)
[-0.891]
86.59
(121)
[0.886]
14.22
(135)
[1.115]
13.25
(118)
[-0.874]
-21.91
(135)
[-1.015]
9.83
(104)
[0.699]
13.70
(120)
[-0.878]
36.04
(113)
[0.485]
26.95
(91)
[0.224]
52.49
(114)
[0.665]
43.40
(109)
[0.508]
61.46
(121)
[-0.740]
51.38
(112)
[-0.671]
51.31
(116)
[-0.661]
29.49
(103)
[0.513]
59.28
(125)
[-0.708]
11.35
(89)
[0.272]
38.19
(96)
[0.330]
57.62
(100)
[-0.276]
18.00
(120)
[0.529]
45.51
(112)
[-0.601]
40.24
(113)
[-0.659]
56.85
(109)
[-0.608]
57.21
(110)
[-0.619]
57.73
(120)
[-0.574]
57.42
(114)
[-0.669]
12.77
(139)
[0.805]
 142.  veselj38's Histogram ratio features 1.20  [normal] CL 1 0 0 0  48.24 
 (118.53) 
 [-0.708] 
15.94
(134)
[-0.898]
10.09
(142)
[1.191]
6.82
(136)
[0.857]
64.00
(118)
[0.607]
63.43
(117)
[0.582]
97.03
(131)
[1.010]
96.58
(128)
[1.006]
9.84
(118)
[-0.866]
13.41
(122)
[-0.884]
14.99
(127)
[-0.891]
86.59
(122)
[0.886]
14.22
(136)
[1.116]
13.25
(119)
[-0.874]
-21.91
(136)
[-1.015]
9.83
(105)
[0.701]
13.69
(121)
[-0.878]
36.10
(115)
[0.489]
26.98
(93)
[0.227]
52.60
(116)
[0.672]
43.48
(110)
[0.514]
61.39
(123)
[-0.746]
51.30
(114)
[-0.676]
51.21
(117)
[-0.666]
29.55
(104)
[0.519]
59.21
(126)
[-0.713]
11.38
(91)
[0.279]
38.26
(97)
[0.335]
57.54
(102)
[-0.281]
18.03
(121)
[0.533]
45.39
(113)
[-0.607]
40.16
(114)
[-0.664]
56.76
(111)
[-0.615]
57.11
(112)
[-0.626]
57.62
(121)
[-0.581]
57.33
(115)
[-0.675]
12.78
(140)
[0.806]
 143.  veselj38's Histogram ratio features 1.2  [normal] CL 1 0 0 0  47.17 
 (126.94) 
 [-0.778] 
14.07
(140)
[-0.967]
10.21
(143)
[1.213]
5.88
(130)
[0.626]
65.29
(124)
[0.663]
65.95
(126)
[0.690]
96.04
(125)
[0.984]
97.08
(130)
[1.020]
9.10
(126)
[-0.890]
13.08
(124)
[-0.893]
15.19
(125)
[-0.885]
86.92
(124)
[0.896]
13.76
(121)
[1.030]
12.71
(123)
[-0.890]
-21.20
(131)
[-0.998]
10.37
(121)
[0.838]
13.35
(125)
[-0.888]
38.49
(137)
[0.680]
30.41
(129)
[0.540]
54.69
(129)
[0.795]
46.62
(129)
[0.722]
60.36
(128)
[-0.822]
49.01
(131)
[-0.817]
50.51
(122)
[-0.710]
31.80
(130)
[0.728]
59.02
(127)
[-0.727]
12.54
(129)
[0.559]
42.00
(130)
[0.608]
54.43
(119)
[-0.478]
18.06
(122)
[0.536]
44.04
(120)
[-0.678]
38.88
(126)
[-0.731]
55.34
(120)
[-0.710]
55.79
(121)
[-0.717]
57.96
(117)
[-0.558]
54.54
(133)
[-0.865]
12.11
(133)
[0.643]
 144.  veselj38's Histogram ratio features 1.9  [normal] CL 1 0 0 0  48.87 
 (112.14) 
 [-0.675] 
16.89
(130)
[-0.863]
10.23
(144)
[1.217]
6.55
(134)
[0.791]
62.16
(108)
[0.528]
62.64
(109)
[0.547]
95.14
(112)
[0.959]
94.27
(106)
[0.943]
10.11
(113)
[-0.857]
13.79
(118)
[-0.872]
17.08
(104)
[-0.828]
86.21
(118)
[0.875]
13.71
(118)
[1.021]
13.91
(111)
[-0.854]
-20.76
(125)
[-0.988]
8.88
(96)
[0.456]
14.61
(108)
[-0.851]
35.92
(110)
[0.475]
26.84
(89)
[0.213]
52.13
(111)
[0.644]
43.04
(105)
[0.485]
61.83
(120)
[-0.713]
50.70
(121)
[-0.713]
52.27
(108)
[-0.602]
29.87
(110)
[0.548]
62.12
(104)
[-0.499]
11.39
(93)
[0.282]
38.13
(94)
[0.326]
59.14
(84)
[-0.180]
16.97
(103)
[0.379]
46.19
(109)
[-0.565]
40.43
(111)
[-0.650]
56.58
(113)
[-0.626]
57.10
(113)
[-0.627]
62.19
(94)
[-0.270]
53.10
(141)
[-0.963]
13.88
(150)
[1.074]
 145.  veselj38's Histogram ratio features 1.20  [normal] CL 1 0 0 0  49.26 
 (111.19) 
 [-0.699] 
18.97
(119)
[-0.786]
10.38
(145)
[1.245]
11.11
(157)
[1.919]
55.15
(86)
[0.225]
55.68
(86)
[0.248]
94.13
(104)
[0.932]
95.13
(113)
[0.967]
11.70
(94)
[-0.804]
16.74
(91)
[-0.784]
15.89
(117)
[-0.864]
83.26
(91)
[0.786]
14.14
(133)
[1.100]
15.17
(99)
[-0.816]
-16.39
(103)
[-0.887]
10.19
(112)
[0.792]
15.67
(100)
[-0.819]
34.92
(100)
[0.395]
26.64
(86)
[0.195]
52.73
(117)
[0.679]
44.45
(116)
[0.578]
61.85
(119)
[-0.712]
51.13
(115)
[-0.687]
51.16
(118)
[-0.670]
29.72
(106)
[0.535]
60.12
(118)
[-0.646]
11.49
(101)
[0.305]
38.85
(103)
[0.378]
56.36
(106)
[-0.355]
18.83
(131)
[0.649]
44.65
(114)
[-0.646]
40.06
(116)
[-0.669]
56.65
(112)
[-0.622]
57.17
(111)
[-0.622]
56.87
(125)
[-0.633]
58.54
(108)
[-0.593]
12.06
(131)
[0.632]
 146.  veselj38's Histogram ratio features 1.5  [normal] CL 1 0 0 0  46.18 
 (127.08) 
 [-0.898] 
7.92
(158)
[-1.195]
10.53
(146)
[1.273]
6.07
(131)
[0.672]
72.04
(140)
[0.954]
71.95
(140)
[0.949]
91.56
(90)
[0.863]
91.88
(95)
[0.878]
12.23
(88)
[-0.787]
16.24
(95)
[-0.799]
20.61
(87)
[-0.723]
83.76
(95)
[0.801]
12.77
(102)
[0.846]
17.04
(87)
[-0.760]
-17.90
(110)
[-0.922]
9.36
(100)
[0.578]
17.68
(89)
[-0.758]
37.52
(127)
[0.603]
30.96
(130)
[0.590]
57.44
(148)
[0.956]
50.88
(151)
[1.004]
56.05
(150)
[-1.141]
44.73
(154)
[-1.079]
46.09
(150)
[-0.980]
34.41
(141)
[0.971]
56.48
(138)
[-0.913]
12.30
(123)
[0.500]
41.94
(129)
[0.604]
53.41
(123)
[-0.542]
21.19
(148)
[0.990]
39.47
(144)
[-0.919]
35.08
(149)
[-0.932]
51.60
(146)
[-0.962]
52.80
(142)
[-0.921]
58.71
(113)
[-0.507]
49.74
(155)
[-1.193]
18.80
(161)
[2.271]
 147.  veselj38's Histogram ratio features 1.7  [normal] CL 1 0 0 0  51.81 
 (96.44) 
 [-0.504] 
25.46
(100)
[-0.546]
10.67
(147)
[1.301]
10.37
(154)
[1.736]
50.98
(73)
[0.045]
52.47
(81)
[0.109]
94.60
(107)
[0.945]
95.75
(122)
[0.984]
11.19
(99)
[-0.821]
14.94
(105)
[-0.838]
15.33
(122)
[-0.881]
85.06
(105)
[0.840]
13.65
(116)
[1.009]
14.08
(109)
[-0.849]
-19.02
(115)
[-0.948]
10.75
(124)
[0.936]
14.54
(110)
[-0.853]
32.66
(81)
[0.216]
24.04
(54)
[-0.043]
47.86
(94)
[0.393]
39.23
(84)
[0.232]
67.29
(92)
[-0.309]
56.48
(94)
[-0.358]
57.12
(89)
[-0.304]
26.00
(83)
[0.189]
63.83
(96)
[-0.373]
10.61
(65)
[0.093]
35.73
(71)
[0.150]
60.73
(71)
[-0.079]
15.49
(90)
[0.166]
52.38
(88)
[-0.239]
45.94
(92)
[-0.358]
62.33
(87)
[-0.239]
62.61
(87)
[-0.250]
63.54
(86)
[-0.178]
62.23
(91)
[-0.341]
9.86
(88)
[0.096]
 148.  veselj38's Histogram ratio features 1.20  [normal] CL 1 0 0 0  45.28 
 (133.75) 
 [-0.886] 
10.40
(152)
[-1.103]
10.98
(148)
[1.360]
1.64
(79)
[-0.423]
73.11
(145)
[1.000]
74.40
(148)
[1.054]
96.28
(129)
[0.990]
96.15
(126)
[0.995]
9.59
(119)
[-0.874]
14.02
(113)
[-0.865]
15.91
(115)
[-0.863]
85.98
(113)
[0.868]
13.47
(110)
[0.976]
13.55
(114)
[-0.865]
-20.84
(126)
[-0.990]
10.57
(122)
[0.889]
14.19
(116)
[-0.863]
42.17
(147)
[0.973]
32.75
(139)
[0.754]
57.71
(151)
[0.972]
48.28
(134)
[0.832]
57.61
(147)
[-1.025]
45.30
(150)
[-1.044]
47.15
(141)
[-0.915]
34.58
(145)
[0.987]
55.92
(144)
[-0.955]
13.35
(138)
[0.754]
44.92
(139)
[0.821]
51.50
(131)
[-0.663]
19.24
(135)
[0.708]
39.65
(139)
[-0.909]
35.44
(145)
[-0.914]
51.68
(145)
[-0.957]
52.03
(148)
[-0.974]
55.01
(136)
[-0.759]
49.76
(154)
[-1.191]
12.10
(132)
[0.640]
 149.  veselj38's Histogram ratio features 1.11  [normal] CL 1 0 0 0  45.21 
 (135.42) 
 [-0.896] 
10.40
(151)
[-1.103]
10.99
(149)
[1.360]
2.44
(103)
[-0.224]
72.17
(142)
[0.960]
73.47
(144)
[1.014]
96.05
(126)
[0.984]
95.99
(124)
[0.990]
9.51
(120)
[-0.877]
13.93
(114)
[-0.868]
15.59
(120)
[-0.873]
86.07
(114)
[0.870]
13.48
(111)
[0.978]
13.40
(116)
[-0.870]
-21.01
(129)
[-0.994]
10.70
(123)
[0.922]
14.02
(118)
[-0.868]
42.11
(146)
[0.968]
32.72
(138)
[0.752]
57.94
(154)
[0.986]
48.55
(137)
[0.850]
57.14
(148)
[-1.060]
44.96
(153)
[-1.065]
46.89
(144)
[-0.932]
34.66
(147)
[0.995]
55.68
(147)
[-0.973]
13.38
(139)
[0.762]
44.99
(140)
[0.826]
51.37
(132)
[-0.670]
19.33
(139)
[0.720]
39.47
(143)
[-0.919]
35.33
(147)
[-0.920]
51.56
(147)
[-0.965]
51.92
(149)
[-0.982]
54.75
(138)
[-0.777]
49.82
(153)
[-1.188]
12.05
(130)
[0.629]
 150.  veselj38's Histogram ratio features 1.2  [normal] CL 1 0 0 0  52.09 
 (96.00) 
 [-0.487] 
29.85
(93)
[-0.383]
11.26
(150)
[1.412]
8.26
(144)
[1.214]
48.51
(60)
[-0.062]
48.74
(63)
[-0.051]
95.74
(122)
[0.976]
96.67
(129)
[1.009]
11.02
(103)
[-0.827]
15.05
(103)
[-0.835]
15.59
(119)
[-0.873]
84.95
(103)
[0.837]
13.98
(127)
[1.071]
14.30
(105)
[-0.842]
-19.17
(119)
[-0.951]
10.78
(126)
[0.943]
14.75
(107)
[-0.846]
32.18
(73)
[0.177]
24.94
(66)
[0.040]
47.11
(89)
[0.349]
39.86
(87)
[0.274]
66.50
(97)
[-0.367]
56.63
(90)
[-0.349]
56.47
(94)
[-0.344]
26.17
(87)
[0.204]
63.39
(99)
[-0.405]
10.60
(64)
[0.090]
35.45
(69)
[0.130]
60.77
(68)
[-0.077]
15.61
(92)
[0.183]
52.65
(85)
[-0.224]
46.44
(87)
[-0.331]
62.49
(84)
[-0.229]
62.89
(84)
[-0.231]
63.71
(83)
[-0.166]
62.90
(88)
[-0.295]
10.15
(97)
[0.166]
f1 f2 f3 f4 AVG
RANK
NORM
CS
40.21
±27.03
criterion 'OS' (over-segmentation) in ascending orderOS
3.79
±5.29
US
3.35
±4.04
ME
49.95
±23.15
NE
49.93
±23.21
O
59.55
±37.10
C
59.81
±36.54
CA
36.11
±30.35
CO
42.92
±33.41
CC
44.87
±33.55
I
56.95
±33.45
II
8.23
±5.37
EA
42.26
±33.19
MS
22.00
±43.27
RM
7.09
±3.91
CI
42.96
±33.33
GCE
29.96
±12.55
LCE
24.51
±10.94
BCE
41.18
±17.01
GBCE
35.72
±15.09
BGM
71.46
±13.50
SC
62.33
±16.31
SSC
62.08
±16.30
VD
23.97
±10.75
L
68.90
±13.59
AVI
10.22
±4.14
NVI
33.68
±13.69
NMI
61.99
±15.83
M
14.35
±6.92
ARI
56.91
±18.98
JC
52.70
±18.89
DC
65.88
±14.84
FMI
66.26
±14.62
WI
66.15
±14.67
WII
67.22
±14.65
NBDE
9.46
±4.11
 151.  veselj38's Histogram ratio features 1.8  [normal] CL 1 0 0 0  48.82 
 (112.83) 
 [-0.660] 
18.30
(122)
[-0.811]
11.35
(151)
[1.429]
3.72
(114)
[0.092]
63.08
(114)
[0.567]
64.06
(121)
[0.609]
92.63
(93)
[0.892]
93.89
(103)
[0.933]
10.03
(115)
[-0.859]
13.42
(120)
[-0.883]
15.23
(124)
[-0.884]
86.58
(120)
[0.886]
13.81
(122)
[1.039]
13.19
(120)
[-0.876]
-21.64
(134)
[-1.009]
9.74
(103)
[0.677]
13.69
(122)
[-0.878]
35.75
(108)
[0.462]
26.02
(82)
[0.139]
52.74
(118)
[0.680]
43.01
(104)
[0.483]
61.96
(117)
[-0.703]
50.76
(120)
[-0.710]
51.46
(115)
[-0.651]
30.31
(114)
[0.590]
60.29
(117)
[-0.633]
11.34
(87)
[0.270]
37.93
(93)
[0.311]
58.92
(88)
[-0.194]
17.24
(108)
[0.419]
46.24
(108)
[-0.562]
40.71
(109)
[-0.635]
56.82
(110)
[-0.611]
57.33
(109)
[-0.611]
60.56
(101)
[-0.381]
55.14
(129)
[-0.824]
11.82
(127)
[0.572]
 152.  veselj38's Histogram ratio features 1.6  [normal] CL 1 0 0 0  51.95 
 (95.94) 
 [-0.502] 
26.62
(98)
[-0.503]
11.55
(152)
[1.466]
10.37
(153)
[1.736]
48.60
(62)
[-0.058]
49.88
(67)
[-0.002]
94.59
(106)
[0.945]
95.75
(121)
[0.984]
11.18
(100)
[-0.822]
14.93
(106)
[-0.838]
15.32
(123)
[-0.881]
85.07
(106)
[0.841]
13.64
(115)
[1.009]
14.07
(110)
[-0.849]
-19.06
(116)
[-0.949]
10.77
(125)
[0.939]
14.53
(112)
[-0.853]
32.66
(80)
[0.215]
24.08
(55)
[-0.039]
47.84
(93)
[0.392]
39.26
(86)
[0.235]
67.27
(93)
[-0.311]
56.49
(93)
[-0.358]
57.09
(90)
[-0.306]
26.04
(84)
[0.193]
63.83
(95)
[-0.373]
10.62
(66)
[0.095]
35.76
(72)
[0.152]
60.71
(73)
[-0.080]
15.48
(89)
[0.163]
52.40
(87)
[-0.237]
45.95
(91)
[-0.357]
62.34
(86)
[-0.238]
62.62
(86)
[-0.249]
63.59
(84)
[-0.174]
62.21
(92)
[-0.342]
9.84
(87)
[0.092]
 153.  veselj38's Histogram ratio features 1.0  [normal] CL 1 0 0 0  45.76 
 (132.03) 
 [-0.931] 
11.44
(148)
[-1.064]
11.64
(153)
[1.484]
6.76
(135)
[0.843]
66.51
(128)
[0.715]
67.36
(129)
[0.751]
93.89
(101)
[0.926]
92.50
(98)
[0.895]
10.27
(110)
[-0.851]
14.48
(109)
[-0.851]
17.61
(101)
[-0.813]
85.52
(109)
[0.854]
14.95
(142)
[1.252]
14.50
(103)
[-0.836]
-21.45
(132)
[-1.004]
10.28
(117)
[0.814]
15.19
(103)
[-0.833]
37.11
(121)
[0.570]
29.66
(122)
[0.471]
57.41
(147)
[0.955]
49.96
(145)
[0.944]
55.68
(153)
[-1.168]
45.28
(151)
[-1.045]
44.85
(153)
[-1.057]
34.42
(142)
[0.972]
52.84
(155)
[-1.181]
12.50
(127)
[0.550]
42.66
(133)
[0.656]
50.83
(133)
[-0.705]
22.69
(150)
[1.206]
38.82
(146)
[-0.953]
35.73
(143)
[-0.898]
52.06
(143)
[-0.931]
53.20
(141)
[-0.894]
54.24
(141)
[-0.811]
54.93
(131)
[-0.839]
17.35
(158)
[1.919]
 154.  veselj38's Histogram ratio features 1.9  [normal] CL 1 0 0 0  46.83 
 (126.94) 
 [-0.872] 
11.73
(145)
[-1.054]
11.65
(154)
[1.486]
10.00
(152)
[1.645]
63.66
(116)
[0.592]
63.26
(115)
[0.574]
97.84
(134)
[1.032]
95.28
(117)
[0.971]
10.08
(114)
[-0.858]
15.04
(104)
[-0.835]
15.90
(116)
[-0.864]
84.96
(104)
[0.837]
15.67
(161)
[1.385]
14.18
(107)
[-0.846]
-20.98
(128)
[-0.993]
11.61
(136)
[1.154]
14.79
(106)
[-0.845]
33.83
(95)
[0.308]
26.98
(92)
[0.226]
55.41
(139)
[0.837]
48.56
(138)
[0.850]
57.68
(146)
[-1.020]
47.31
(140)
[-0.921]
47.48
(139)
[-0.895]
32.44
(135)
[0.788]
57.09
(136)
[-0.868]
11.57
(103)
[0.324]
39.34
(108)
[0.414]
53.21
(124)
[-0.554]
21.88
(149)
[1.089]
40.87
(135)
[-0.845]
38.10
(133)
[-0.773]
54.37
(129)
[-0.776]
55.72
(124)
[-0.722]
58.73
(112)
[-0.506]
55.78
(125)
[-0.781]
17.38
(159)
[1.925]
 155.  veselj38's Histogram ratio features 1.10  [normal] CL 1 0 0 0  49.59 
 (106.92) 
 [-0.636] 
18.05
(126)
[-0.820]
11.75
(155)
[1.504]
5.62
(128)
[0.562]
59.63
(97)
[0.418]
60.70
(101)
[0.464]
91.10
(88)
[0.850]
91.71
(93)
[0.873]
11.33
(97)
[-0.817]
15.30
(100)
[-0.827]
16.88
(106)
[-0.834]
84.70
(100)
[0.830]
14.02
(130)
[1.078]
15.01
(101)
[-0.821]
-19.00
(114)
[-0.947]
8.96
(97)