The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

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

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? 0 1   f1 = classification (supervised segmentation)
? 0 1   f2 = hiearchy result (manual selection)
? 0 1   f3 = known number of regions
? 0 1   f4 = [reserved]
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
44.33
±20.57
OS
22.18
±20.14
US
13.65
±12.03
ME
23.79
±22.77
NE
23.99
±22.62
O
27.94
±18.07
C
42.74
±33.61
criterion 'CA' (class accuracy) in descending orderCA
61.97
±14.85
CO
69.99
±13.75
CC
80.82
±11.85
I
30.01
±13.75
II
4.79
±3.95
EA
70.54
±12.99
MS
59.87
±17.09
RM
6.59
±3.25
CI
72.59
±11.99
GCE
17.21
±11.25
LCE
12.18
±10.14
BCE
39.86
±15.37
GBCE
34.84
±15.23
BGM
69.99
±13.75
SC
63.36
±15.46
SSC
64.15
±14.61
VD
19.86
±9.81
L
71.02
±12.30
AVI
8.71
±4.42
NVI
22.81
±10.97
NMI
70.69
±12.94
M
14.05
±6.97
ARI
59.97
±17.17
JC
55.18
±15.88
DC
67.98
±14.32
FMI
69.63
±13.28
WI
72.82
±14.75
WII
70.47
±17.19
NBDE
8.18
±3.14
 1.  v-andrearczyk's FCNT unsup.  [large] 0 0 0 0  89.21 
 (3.31) 
 [1.199] 
79.34
(1)
[1.702]
13.67
(20)
[-0.423]
6.25
(11)
[-0.615]
3.80
(2)
[-0.878]
3.80
(1)
[-0.892]
6.48
(3)
[-1.188]
22.88
(17)
[-0.591]
84.17
(1)
[1.495]
87.97
(2)
[1.308]
94.15
(4)
[1.124]
12.03
(2)
[-1.308]
1.42
(5)
[-0.854]
88.97
(1)
[1.419]
85.23
(1)
[1.484]
3.12
(3)
[-1.068]
89.91
(1)
[1.445]
6.46
(2)
[-0.956]
4.75
(3)
[-0.733]
17.73
(2)
[-1.440]
16.02
(3)
[-1.236]
87.97
(2)
[1.308]
84.11
(2)
[1.342]
84.85
(2)
[1.417]
7.79
(2)
[-1.229]
88.53
(1)
[1.423]
3.93
(3)
[-1.083]
10.70
(3)
[-1.104]
86.81
(2)
[1.247]
4.88
(2)
[-1.317]
84.85
(2)
[1.449]
80.02
(1)
[1.564]
87.75
(2)
[1.381]
88.28
(1)
[1.403]
90.69
(4)
[1.212]
87.01
(4)
[0.962]
3.32
(1)
[-1.550]
 2.  cpanag@csd.uoc.gr's VRA-PMCFA   [large] 0 0 0 0  89.36 
 (3.58) 
 [1.191] 
75.14
(3)
[1.498]
12.13
(17)
[-0.499]
9.85
(22)
[-0.316]
4.38
(6)
[-0.853]
4.37
(4)
[-0.867]
4.51
(1)
[-1.297]
8.89
(6)
[-1.007]
83.45
(2)
[1.447]
88.12
(1)
[1.319]
90.73
(10)
[0.836]
11.88
(1)
[-1.319]
1.48
(6)
[-0.839]
88.07
(2)
[1.350]
83.92
(3)
[1.407]
3.75
(8)
[-0.873]
88.72
(3)
[1.345]
6.55
(3)
[-0.948]
3.90
(2)
[-0.817]
17.51
(1)
[-1.454]
14.86
(1)
[-1.312]
88.12
(1)
[1.319]
84.63
(1)
[1.375]
84.95
(1)
[1.424]
7.59
(1)
[-1.250]
87.58
(3)
[1.345]
3.25
(1)
[-1.238]
9.89
(1)
[-1.178]
88.52
(1)
[1.378]
4.76
(1)
[-1.335]
84.94
(1)
[1.454]
79.62
(2)
[1.539]
87.84
(1)
[1.388]
88.25
(2)
[1.402]
88.92
(6)
[1.092]
88.43
(2)
[1.045]
3.40
(2)
[-1.524]
 3.  emkay's A3M 1.0  [large] 0 0 0 0  88.21 
 (5.22) 
 [1.126] 
77.73
(2)
[1.624]
15.92
(27)
[-0.311]
6.31
(12)
[-0.610]
3.93
(3)
[-0.872]
3.92
(3)
[-0.887]
7.68
(6)
[-1.121]
24.24
(18)
[-0.550]
82.80
(3)
[1.402]
86.89
(4)
[1.229]
93.65
(5)
[1.083]
13.11
(4)
[-1.229]
1.50
(7)
[-0.834]
88.03
(3)
[1.347]
83.98
(2)
[1.411]
3.27
(5)
[-1.022]
89.03
(2)
[1.371]
7.40
(5)
[-0.872]
5.62
(7)
[-0.647]
19.31
(3)
[-1.337]
17.53
(7)
[-1.136]
86.89
(4)
[1.229]
82.57
(3)
[1.242]
83.49
(3)
[1.324]
8.57
(3)
[-1.150]
87.67
(2)
[1.353]
4.39
(7)
[-0.979]
11.86
(4)
[-0.998]
85.28
(4)
[1.128]
5.30
(3)
[-1.256]
83.46
(3)
[1.368]
78.26
(3)
[1.453]
86.61
(3)
[1.301]
87.16
(3)
[1.319]
89.88
(5)
[1.157]
85.64
(7)
[0.883]
3.51
(3)
[-1.487]
 4.  mevenkamp's PCA-MS   [large] 0 0 0 0  87.45 
 (6.47) 
 [1.042] 
72.27
(5)
[1.358]
18.33
(30)
[-0.191]
9.41
(20)
[-0.352]
4.19
(4)
[-0.861]
3.92
(2)
[-0.887]
7.25
(4)
[-1.145]
6.44
(1)
[-1.080]
81.13
(4)
[1.290]
85.96
(5)
[1.162]
91.24
(8)
[0.879]
14.04
(5)
[-1.162]
1.59
(8)
[-0.810]
87.08
(4)
[1.273]
81.84
(4)
[1.285]
4.45
(12)
[-0.659]
87.81
(4)
[1.270]
8.33
(8)
[-0.789]
5.61
(6)
[-0.648]
21.00
(5)
[-1.227]
18.28
(8)
[-1.087]
85.96
(5)
[1.162]
81.30
(6)
[1.160]
82.16
(4)
[1.232]
9.06
(4)
[-1.101]
85.54
(5)
[1.180]
4.31
(6)
[-0.998]
13.22
(7)
[-0.875]
84.78
(5)
[1.089]
5.88
(4)
[-1.173]
81.62
(4)
[1.261]
75.30
(6)
[1.267]
85.25
(5)
[1.207]
85.71
(4)
[1.210]
88.20
(7)
[1.043]
84.18
(10)
[0.798]
3.98
(4)
[-1.339]
 5.  frzn's texNCUT   [large] 0 0 1 0  87.01 
 (7.36) 
 [1.009] 
72.54
(4)
[1.371]
10.92
(13)
[-0.559]
9.61
(21)
[-0.336]
10.25
(15)
[-0.595]
9.83
(15)
[-0.626]
7.33
(5)
[-1.141]
8.17
(4)
[-1.028]
80.58
(5)
[1.253]
86.89
(3)
[1.229]
88.28
(15)
[0.629]
13.11
(3)
[-1.229]
2.36
(13)
[-0.615]
86.39
(5)
[1.220]
80.33
(5)
[1.197]
3.69
(6)
[-0.891]
86.97
(5)
[1.199]
11.92
(16)
[-0.470]
6.85
(15)
[-0.526]
20.64
(4)
[-1.251]
15.56
(2)
[-1.266]
86.89
(3)
[1.229]
82.46
(4)
[1.235]
81.90
(5)
[1.215]
9.18
(5)
[-1.088]
84.35
(8)
[1.083]
4.30
(5)
[-0.999]
14.49
(9)
[-0.758]
84.14
(7)
[1.040]
6.03
(5)
[-1.151]
81.48
(5)
[1.253]
75.77
(4)
[1.296]
85.35
(4)
[1.213]
85.50
(5)
[1.195]
84.76
(11)
[0.810]
86.57
(6)
[0.937]
4.49
(5)
[-1.175]
 6.  xiaofang's sas_gmm(color) c=7  [normal] 0 0 1 0  86.71 
 (8.17) 
 [0.978] 
66.88
(10)
[1.096]
13.63
(19)
[-0.425]
11.93
(27)
[-0.143]
8.46
(13)
[-0.673]
8.44
(13)
[-0.687]
4.92
(2)
[-1.274]
6.97
(3)
[-1.064]
79.87
(6)
[1.205]
85.76
(6)
[1.147]
88.16
(17)
[0.619]
14.24
(6)
[-1.147]
2.36
(14)
[-0.614]
85.72
(6)
[1.168]
78.65
(6)
[1.098]
4.45
(11)
[-0.659]
86.33
(6)
[1.146]
11.00
(14)
[-0.552]
5.90
(9)
[-0.619]
21.14
(6)
[-1.218]
16.05
(4)
[-1.234]
85.76
(6)
[1.147]
81.49
(5)
[1.172]
81.61
(6)
[1.195]
9.50
(6)
[-1.055]
85.88
(4)
[1.208]
3.88
(2)
[-1.094]
13.10
(6)
[-0.885]
85.65
(3)
[1.156]
6.52
(6)
[-1.082]
80.86
(6)
[1.216]
75.31
(5)
[1.268]
85.05
(6)
[1.192]
85.32
(6)
[1.180]
85.89
(9)
[0.886]
85.29
(8)
[0.862]
5.58
(12)
[-0.829]
 7.  felipecalderero's GSRM sup. KL area-weighted  [normal] 0 0 1 0  85.76 
 (9.28) 
 [0.921] 
68.72
(8)
[1.186]
9.00
(11)
[-0.654]
6.67
(13)
[-0.580]
15.09
(22)
[-0.382]
15.16
(21)
[-0.390]
7.74
(7)
[-1.118]
6.79
(2)
[-1.069]
78.90
(7)
[1.140]
84.74
(7)
[1.073]
89.30
(12)
[0.716]
15.26
(7)
[-1.073]
2.10
(10)
[-0.682]
85.01
(7)
[1.114]
77.12
(8)
[1.009]
4.54
(13)
[-0.630]
85.98
(7)
[1.117]
13.29
(20)
[-0.349]
6.93
(16)
[-0.518]
22.51
(7)
[-1.129]
16.16
(5)
[-1.227]
84.74
(7)
[1.073]
80.09
(7)
[1.082]
80.13
(7)
[1.094]
10.88
(10)
[-0.915]
84.38
(7)
[1.085]
4.29
(4)
[-1.001]
14.22
(8)
[-0.783]
84.50
(6)
[1.068]
6.84
(7)
[-1.035]
78.95
(7)
[1.105]
73.34
(7)
[1.143]
83.20
(7)
[1.063]
83.40
(7)
[1.036]
84.46
(12)
[0.790]
82.76
(13)
[0.715]
4.96
(8)
[-1.026]
 8.  felipecalderero's GSRM MARKOV sup. KL area-weighted  [normal] 0 0 1 0  85.13 
 (10.86) 
 [0.872] 
67.55
(9)
[1.129]
11.36
(14)
[-0.537]
9.11
(18)
[-0.378]
12.58
(19)
[-0.492]
13.54
(19)
[-0.462]
7.81
(8)
[-1.114]
8.42
(5)
[-1.021]
78.07
(8)
[1.084]
84.30
(8)
[1.041]
87.19
(19)
[0.537]
15.70
(8)
[-1.041]
2.91
(15)
[-0.476]
84.32
(9)
[1.061]
76.44
(10)
[0.970]
4.26
(9)
[-0.716]
85.01
(9)
[1.036]
13.33
(21)
[-0.344]
7.21
(17)
[-0.491]
23.13
(8)
[-1.088]
17.01
(6)
[-1.171]
84.30
(8)
[1.041]
79.53
(9)
[1.046]
79.83
(8)
[1.073]
10.85
(9)
[-0.919]
84.77
(6)
[1.117]
4.41
(8)
[-0.975]
14.60
(10)
[-0.749]
83.91
(8)
[1.022]
7.61
(9)
[-0.925]
77.27
(10)
[1.008]
71.45
(9)
[1.025]
82.06
(10)
[0.984]
82.33
(10)
[0.956]
82.59
(14)
[0.663]
82.65
(14)
[0.709]
5.06
(10)
[-0.993]
 9.  cbampis's GRPNMF   [large] 0 0 0 0  84.98 
 (10.69) 
 [0.865] 
69.50
(6)
[1.224]
16.05
(28)
[-0.305]
9.90
(23)
[-0.312]
5.74
(9)
[-0.793]
5.89
(8)
[-0.800]
10.33
(9)
[-0.975]
18.35
(15)
[-0.726]
77.92
(9)
[1.074]
84.00
(10)
[1.019]
88.41
(14)
[0.641]
16.00
(10)
[-1.019]
2.26
(12)
[-0.641]
84.39
(8)
[1.066]
78.57
(7)
[1.094]
4.34
(10)
[-0.693]
85.24
(8)
[1.056]
10.61
(11)
[-0.587]
7.69
(20)
[-0.443]
24.22
(10)
[-1.018]
21.30
(10)
[-0.889]
84.00
(10)
[1.019]
78.67
(10)
[0.990]
79.21
(9)
[1.031]
10.80
(8)
[-0.923]
83.08
(9)
[0.980]
5.39
(11)
[-0.752]
15.83
(11)
[-0.637]
81.02
(9)
[0.799]
7.42
(8)
[-0.952]
77.88
(8)
[1.043]
71.59
(8)
[1.033]
82.22
(9)
[0.995]
82.96
(8)
[1.003]
83.80
(13)
[0.744]
83.76
(11)
[0.773]
4.73
(6)
[-1.099]
 10.  yuanj's FSEG 3.0  [large] 0 0 0 0  84.47 
 (11.56) 
 [0.804] 
69.24
(7)
[1.211]
12.28
(18)
[-0.491]
17.03
(32)
[0.280]
7.71
(12)
[-0.706]
6.89
(9)
[-0.756]
11.66
(10)
[-0.901]
11.71
(9)
[-0.923]
76.32
(10)
[0.966]
84.05
(9)
[1.023]
84.15
(21)
[0.281]
15.95
(9)
[-1.023]
3.29
(18)
[-0.379]
82.53
(10)
[0.923]
77.11
(9)
[1.008]
5.00
(19)
[-0.490]
83.26
(10)
[0.890]
10.75
(13)
[-0.574]
7.52
(19)
[-0.460]
24.10
(9)
[-1.026]
20.87
(9)
[-0.917]
84.05
(9)
[1.023]
79.66
(8)
[1.054]
78.46
(10)
[0.979]
10.68
(7)
[-0.936]
80.37
(11)
[0.760]
5.17
(10)
[-0.802]
16.53
(13)
[-0.573]
80.60
(11)
[0.767]
7.88
(10)
[-0.886]
77.38
(9)
[1.014]
71.30
(10)
[1.015]
82.36
(8)
[1.005]
82.95
(9)
[1.003]
80.29
(15)
[0.507]
86.86
(5)
[0.954]
4.99
(9)
[-1.017]
 11.  yuanj's FSEG woMg  [large] 0 0 0 0  80.37 
 (14.33) 
 [0.570] 
56.96
(12)
[0.614]
32.75
(32)
[0.525]
6.74
(14)
[-0.574]
7.45
(11)
[-0.718]
7.05
(11)
[-0.749]
15.50
(14)
[-0.688]
38.33
(25)
[-0.131]
72.29
(11)
[0.695]
77.63
(14)
[0.556]
90.76
(9)
[0.838]
22.37
(14)
[-0.556]
1.70
(9)
[-0.782]
80.75
(11)
[0.786]
72.92
(11)
[0.763]
4.90
(17)
[-0.520]
82.35
(12)
[0.814]
11.72
(15)
[-0.488]
7.91
(21)
[-0.421]
31.90
(14)
[-0.518]
28.09
(17)
[-0.443]
77.63
(14)
[0.556]
70.77
(15)
[0.479]
73.29
(13)
[0.626]
13.96
(13)
[-0.601]
80.10
(12)
[0.738]
6.64
(17)
[-0.469]
17.51
(15)
[-0.484]
78.28
(13)
[0.587]
8.61
(11)
[-0.782]
71.79
(12)
[0.688]
64.05
(13)
[0.559]
76.75
(13)
[0.613]
77.95
(12)
[0.626]
86.18
(8)
[0.906]
72.30
(26)
[0.107]
6.37
(15)
[-0.575]
 12.  xaos's MW3AR   [normal] 0 0 0 0  77.71 
 (14.53) 
 [0.478] 
53.04
(17)
[0.423]
59.53
(40)
[1.854]
3.20
(6)
[-0.869]
5.63
(8)
[-0.798]
6.96
(10)
[-0.753]
19.32
(18)
[-0.477]
86.19
(34)
[1.293]
71.89
(12)
[0.668]
74.66
(19)
[0.339]
95.04
(3)
[1.200]
25.34
(19)
[-0.339]
0.74
(3)
[-1.025]
80.43
(12)
[0.762]
71.78
(13)
[0.697]
3.09
(2)
[-1.077]
82.43
(11)
[0.821]
8.17
(7)
[-0.804]
5.78
(8)
[-0.631]
34.50
(18)
[-0.349]
32.11
(21)
[-0.179]
74.66
(19)
[0.339]
66.84
(23)
[0.225]
72.27
(15)
[0.555]
14.78
(15)
[-0.518]
80.63
(10)
[0.781]
7.16
(20)
[-0.351]
12.59
(5)
[-0.932]
79.57
(12)
[0.687]
8.97
(12)
[-0.730]
68.82
(14)
[0.515]
61.24
(16)
[0.381]
73.42
(16)
[0.380]
75.65
(16)
[0.453]
91.53
(3)
[1.269]
64.93
(29)
[-0.322]
7.12
(17)
[-0.336]
 13.  daicav's SegTexCol  [large] 0 0 0 0  82.50 
 (13.08) 
 [0.650] 
61.19
(11)
[0.820]
1.92
(1)
[-1.006]
27.02
(37)
[1.111]
9.33
(14)
[-0.635]
9.05
(14)
[-0.661]
15.17
(13)
[-0.707]
12.12
(10)
[-0.911]
71.69
(13)
[0.655]
81.16
(11)
[0.812]
76.34
(29)
[-0.378]
18.84
(11)
[-0.812]
3.77
(22)
[-0.259]
77.20
(14)
[0.513]
71.87
(12)
[0.702]
6.40
(23)
[-0.060]
77.95
(14)
[0.447]
8.36
(9)
[-0.787]
6.01
(11)
[-0.608]
25.98
(11)
[-0.904]
23.63
(12)
[-0.736]
81.16
(11)
[0.812]
78.15
(11)
[0.956]
75.50
(11)
[0.777]
11.75
(11)
[-0.826]
76.27
(17)
[0.426]
4.88
(9)
[-0.867]
16.00
(12)
[-0.621]
80.93
(10)
[0.792]
9.19
(13)
[-0.699]
75.75
(11)
[0.919]
70.11
(11)
[0.940]
80.97
(11)
[0.908]
81.91
(11)
[0.924]
75.75
(22)
[0.199]
90.27
(1)
[1.152]
4.93
(7)
[-1.037]
 14.  david0432's Cooperative Mum-Shah   [normal] 0 0 1 0  80.21 
 (16.14) 
 [0.517] 
53.73
(16)
[0.457]
16.29
(29)
[-0.292]
11.76
(26)
[-0.157]
18.57
(24)
[-0.229]
18.66
(24)
[-0.236]
12.55
(11)
[-0.851]
16.85
(14)
[-0.770]
71.58
(14)
[0.647]
78.99
(12)
[0.654]
84.91
(20)
[0.345]
21.01
(12)
[-0.654]
3.11
(16)
[-0.426]
79.39
(13)
[0.682]
70.84
(14)
[0.641]
6.45
(24)
[-0.045]
80.61
(13)
[0.669]
16.29
(26)
[-0.081]
8.88
(23)
[-0.326]
30.80
(13)
[-0.590]
23.38
(11)
[-0.752]
78.99
(12)
[0.654]
72.83
(13)
[0.612]
73.35
(12)
[0.630]
14.43
(14)
[-0.553]
79.26
(13)
[0.669]
5.92
(14)
[-0.632]
18.40
(20)
[-0.402]
78.23
(14)
[0.583]
10.09
(14)
[-0.569]
70.52
(13)
[0.614]
64.26
(12)
[0.572]
76.88
(12)
[0.622]
77.31
(13)
[0.578]
77.60
(18)
[0.324]
77.93
(19)
[0.434]
6.15
(13)
[-0.646]
 15.  sylvia's TEX-ROI-SEG 1.0  [normal] 0 0 0 0  80.15 
 (16.06) 
 [0.480] 
56.37
(13)
[0.585]
11.93
(15)
[-0.509]
19.79
(33)
[0.510]
11.55
(17)
[-0.538]
10.29
(16)
[-0.605]
18.21
(17)
[-0.538]
9.63
(7)
[-0.985]
69.45
(15)
[0.504]
78.26
(13)
[0.602]
81.24
(25)
[0.035]
21.74
(13)
[-0.602]
4.16
(26)
[-0.160]
76.31
(15)
[0.444]
68.88
(15)
[0.527]
7.37
(29)
[0.239]
77.86
(15)
[0.440]
11.99
(17)
[-0.464]
6.71
(14)
[-0.540]
30.48
(12)
[-0.611]
25.20
(13)
[-0.633]
78.26
(13)
[0.602]
73.70
(12)
[0.668]
72.48
(14)
[0.570]
13.66
(12)
[-0.631]
76.83
(14)
[0.472]
5.74
(12)
[-0.672]
18.34
(19)
[-0.407]
78.12
(15)
[0.575]
11.74
(20)
[-0.332]
68.74
(15)
[0.511]
63.73
(14)
[0.538]
75.91
(14)
[0.554]
77.00
(14)
[0.555]
73.11
(27)
[0.020]
83.24
(12)
[0.743]
5.45
(11)
[-0.868]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.33
±20.57
OS
22.18
±20.14
US
13.65
±12.03
ME
23.79
±22.77
NE
23.99
±22.62
O
27.94
±18.07
C
42.74
±33.61
criterion 'CA' (class accuracy) in descending orderCA
61.97
±14.85
CO
69.99
±13.75
CC
80.82
±11.85
I
30.01
±13.75
II
4.79
±3.95
EA
70.54
±12.99
MS
59.87
±17.09
RM
6.59
±3.25
CI
72.59
±11.99
GCE
17.21
±11.25
LCE
12.18
±10.14
BCE
39.86
±15.37
GBCE
34.84
±15.23
BGM
69.99
±13.75
SC
63.36
±15.46
SSC
64.15
±14.61
VD
19.86
±9.81
L
71.02
±12.30
AVI
8.71
±4.42
NVI
22.81
±10.97
NMI
70.69
±12.94
M
14.05
±6.97
ARI
59.97
±17.17
JC
55.18
±15.88
DC
67.98
±14.32
FMI
69.63
±13.28
WI
72.82
±14.75
WII
70.47
±17.19
NBDE
8.18
±3.14
 16.  scarpa's TFR/KLD   [normal] 0 1 0 0  76.65 
 (21.17) 
 [0.227] 
51.25
(18)
[0.336]
5.84
(6)
[-0.811]
7.16
(15)
[-0.539]
31.64
(34)
[0.345]
31.38
(33)
[0.326]
19.65
(19)
[-0.459]
9.67
(8)
[-0.984]
67.45
(16)
[0.369]
76.40
(15)
[0.466]
81.12
(26)
[0.025]
23.60
(15)
[-0.466]
4.09
(25)
[-0.178]
75.80
(18)
[0.405]
65.19
(17)
[0.311]
7.21
(28)
[0.189]
77.21
(19)
[0.385]
20.36
(33)
[0.280]
14.36
(34)
[0.215]
34.33
(17)
[-0.360]
28.34
(18)
[-0.427]
76.40
(15)
[0.466]
69.58
(16)
[0.402]
69.20
(17)
[0.346]
18.01
(22)
[-0.189]
74.35
(22)
[0.270]
7.63
(21)
[-0.246]
24.48
(29)
[0.152]
71.43
(23)
[0.057]
12.64
(22)
[-0.203]
63.75
(21)
[0.220]
58.96
(21)
[0.238]
71.77
(20)
[0.265]
72.35
(22)
[0.204]
69.11
(30)
[-0.251]
76.80
(23)
[0.368]
8.38
(24)
[0.065]
 17.  felipecalderero's GSRM unsup. KL area-weighted  [normal] 0 0 0 0  77.65 
 (19.36) 
 [0.335] 
54.05
(15)
[0.472]
15.88
(26)
[-0.313]
14.45
(30)
[0.066]
13.62
(20)
[-0.447]
14.03
(20)
[-0.440]
23.44
(22)
[-0.249]
26.47
(19)
[-0.484]
66.75
(17)
[0.322]
73.67
(21)
[0.268]
81.41
(24)
[0.050]
26.33
(21)
[-0.268]
3.35
(19)
[-0.364]
73.14
(23)
[0.200]
65.75
(16)
[0.344]
6.76
(27)
[0.050]
75.09
(22)
[0.208]
8.88
(10)
[-0.741]
5.98
(10)
[-0.612]
33.93
(16)
[-0.386]
31.03
(20)
[-0.250]
73.67
(21)
[0.268]
68.93
(17)
[0.360]
69.15
(18)
[0.342]
15.95
(17)
[-0.399]
74.85
(21)
[0.311]
6.93
(19)
[-0.404]
17.65
(16)
[-0.471]
78.09
(16)
[0.573]
12.36
(21)
[-0.244]
64.94
(20)
[0.290]
60.71
(17)
[0.348]
71.13
(21)
[0.220]
73.53
(19)
[0.293]
76.97
(20)
[0.281]
76.81
(22)
[0.369]
6.29
(14)
[-0.601]
 18.  xiaofang's sas originial  [normal] 0 0 0 0  76.67 
 (20.61) 
 [0.257] 
41.42
(23)
[-0.141]
15.04
(22)
[-0.355]
12.48
(28)
[-0.097]
27.64
(31)
[0.169]
26.92
(30)
[0.130]
17.80
(15)
[-0.561]
15.13
(12)
[-0.821]
66.53
(18)
[0.307]
75.75
(17)
[0.419]
82.19
(22)
[0.115]
24.25
(17)
[-0.419]
4.17
(27)
[-0.157]
76.10
(16)
[0.428]
63.63
(21)
[0.220]
6.72
(25)
[0.039]
77.48
(16)
[0.408]
20.47
(34)
[0.291]
11.25
(27)
[-0.092]
35.25
(19)
[-0.300]
26.03
(14)
[-0.578]
75.75
(17)
[0.419]
68.47
(19)
[0.331]
68.43
(19)
[0.293]
17.13
(20)
[-0.279]
75.42
(19)
[0.357]
6.47
(15)
[-0.508]
21.84
(27)
[-0.088]
76.07
(18)
[0.416]
11.22
(18)
[-0.408]
66.22
(17)
[0.364]
59.42
(18)
[0.267]
73.37
(17)
[0.376]
73.72
(17)
[0.308]
74.33
(24)
[0.103]
73.83
(24)
[0.196]
8.02
(19)
[-0.050]
 18.  xiaofang's LocalGlobalGraph color  [normal] 0 1 0 0  76.67 
 (20.61) 
 [0.257] 
41.42
(23)
[-0.141]
15.04
(22)
[-0.355]
12.48
(28)
[-0.097]
27.64
(31)
[0.169]
26.92
(30)
[0.130]
17.80
(15)
[-0.561]
15.13
(12)
[-0.821]
66.53
(18)
[0.307]
75.75
(17)
[0.419]
82.19
(22)
[0.115]
24.25
(17)
[-0.419]
4.17
(27)
[-0.157]
76.10
(16)
[0.428]
63.63
(21)
[0.220]
6.72
(25)
[0.039]
77.48
(16)
[0.408]
20.47
(34)
[0.291]
11.25
(27)
[-0.092]
35.25
(19)
[-0.300]
26.03
(14)
[-0.578]
75.75
(17)
[0.419]
68.47
(19)
[0.331]
68.43
(19)
[0.293]
17.13
(20)
[-0.279]
75.42
(19)
[0.357]
6.47
(15)
[-0.508]
21.84
(27)
[-0.088]
76.07
(18)
[0.416]
11.22
(18)
[-0.408]
66.22
(17)
[0.364]
59.42
(18)
[0.267]
73.37
(17)
[0.376]
73.72
(17)
[0.308]
74.33
(24)
[0.103]
73.83
(24)
[0.196]
8.02
(19)
[-0.050]
 20.  xiaofang's SR_multifeat all  [normal] 0 0 1 0  77.58 
 (19.64) 
 [0.298] 
45.57
(21)
[0.060]
14.56
(21)
[-0.379]
27.86
(38)
[1.181]
17.99
(23)
[-0.255]
17.58
(23)
[-0.283]
14.76
(12)
[-0.729]
20.63
(16)
[-0.658]
65.36
(20)
[0.228]
76.12
(16)
[0.446]
76.95
(28)
[-0.327]
23.88
(16)
[-0.446]
5.18
(30)
[0.100]
73.17
(22)
[0.203]
64.18
(19)
[0.252]
7.49
(30)
[0.275]
74.36
(23)
[0.147]
14.68
(22)
[-0.225]
9.40
(25)
[-0.274]
32.16
(15)
[-0.501]
26.88
(16)
[-0.522]
76.12
(16)
[0.446]
71.39
(14)
[0.519]
70.07
(16)
[0.405]
15.46
(16)
[-0.449]
76.62
(16)
[0.455]
5.91
(13)
[-0.634]
19.57
(23)
[-0.295]
77.52
(17)
[0.529]
11.17
(17)
[-0.415]
68.58
(16)
[0.502]
62.59
(15)
[0.467]
75.81
(15)
[0.547]
76.54
(15)
[0.520]
72.03
(29)
[-0.053]
82.58
(15)
[0.705]
7.63
(18)
[-0.174]
 21.  chaththa85's ImprvGMRF  [normal] 0 0 1 0  75.46 
 (22.83) 
 [0.171] 
49.02
(19)
[0.228]
15.06
(24)
[-0.354]
10.82
(24)
[-0.235]
21.44
(26)
[-0.103]
22.76
(26)
[-0.054]
22.06
(21)
[-0.325]
26.87
(20)
[-0.472]
64.74
(21)
[0.187]
73.95
(20)
[0.288]
79.03
(27)
[-0.151]
26.05
(20)
[-0.288]
3.99
(24)
[-0.202]
73.98
(20)
[0.265]
60.92
(24)
[0.061]
6.01
(21)
[-0.180]
75.18
(21)
[0.216]
23.07
(36)
[0.522]
15.90
(36)
[0.367]
36.10
(22)
[-0.245]
28.92
(19)
[-0.388]
73.95
(20)
[0.288]
67.21
(22)
[0.249]
67.44
(22)
[0.225]
18.67
(24)
[-0.122]
72.20
(24)
[0.096]
8.14
(23)
[-0.129]
27.33
(33)
[0.412]
70.26
(25)
[-0.033]
10.99
(16)
[-0.440]
66.08
(19)
[0.356]
59.42
(20)
[0.267]
73.13
(19)
[0.359]
73.46
(20)
[0.288]
76.08
(21)
[0.221]
71.54
(27)
[0.063]
6.76
(16)
[-0.450]
 22.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  73.30 
 (22.17) 
 [0.109] 
43.22
(22)
[-0.054]
49.27
(35)
[1.345]
16.55
(31)
[0.240]
10.30
(16)
[-0.593]
12.56
(17)
[-0.505]
21.99
(20)
[-0.329]
87.38
(35)
[1.328]
64.51
(22)
[0.171]
71.00
(24)
[0.073]
90.14
(11)
[0.786]
29.00
(24)
[-0.073]
3.79
(23)
[-0.254]
73.90
(21)
[0.259]
64.47
(18)
[0.269]
4.55
(14)
[-0.629]
76.51
(20)
[0.327]
15.32
(23)
[-0.168]
7.98
(22)
[-0.415]
40.43
(24)
[0.037]
33.09
(22)
[-0.115]
71.00
(24)
[0.073]
61.68
(25)
[-0.109]
67.03
(23)
[0.197]
16.87
(19)
[-0.305]
76.79
(15)
[0.469]
8.38
(24)
[-0.075]
16.76
(14)
[-0.551]
72.32
(22)
[0.126]
13.51
(23)
[-0.078]
61.60
(22)
[0.095]
55.09
(24)
[-0.006]
69.68
(22)
[0.119]
71.15
(23)
[0.114]
77.54
(19)
[0.321]
67.86
(28)
[-0.151]
9.08
(27)
[0.289]
 23.  felipecalderero's GSRM MARKOV unsup. KL area-weighted  [normal] 0 0 0 0  76.16 
 (21.56) 
 [0.170] 
54.70
(14)
[0.504]
15.14
(25)
[-0.350]
23.71
(34)
[0.836]
5.49
(7)
[-0.804]
4.55
(5)
[-0.859]
24.79
(23)
[-0.174]
31.43
(22)
[-0.336]
63.98
(23)
[0.135]
71.55
(23)
[0.113]
75.39
(30)
[-0.459]
28.45
(23)
[-0.113]
4.53
(29)
[-0.065]
69.79
(24)
[-0.058]
61.55
(23)
[0.098]
8.77
(35)
[0.668]
71.46
(26)
[-0.094]
6.75
(4)
[-0.930]
4.81
(4)
[-0.727]
35.49
(21)
[-0.284]
33.56
(23)
[-0.084]
71.55
(23)
[0.113]
67.70
(21)
[0.281]
67.48
(21)
[0.228]
16.16
(18)
[-0.377]
73.83
(23)
[0.228]
6.79
(18)
[-0.436]
19.22
(22)
[-0.328]
74.98
(21)
[0.332]
17.61
(32)
[0.511]
61.29
(23)
[0.077]
57.57
(22)
[0.151]
69.20
(23)
[0.085]
72.50
(21)
[0.216]
73.38
(26)
[0.038]
80.01
(18)
[0.555]
9.00
(26)
[0.263]
 24.  test's TBES 1.0  [normal] 0 0 0 0  72.22 
 (20.78) 
 [0.088] 
37.72
(26)
[-0.321]
59.77
(41)
[1.866]
1.25
(4)
[-1.031]
7.24
(10)
[-0.727]
8.22
(12)
[-0.697]
27.55
(24)
[-0.021]
95.08
(37)
[1.557]
63.30
(24)
[0.090]
65.66
(26)
[-0.315]
96.20
(2)
[1.298]
34.34
(26)
[0.315]
0.60
(2)
[-1.061]
74.19
(19)
[0.281]
63.73
(20)
[0.225]
5.27
(20)
[-0.406]
77.29
(18)
[0.392]
7.57
(6)
[-0.857]
6.02
(12)
[-0.608]
44.81
(26)
[0.321]
43.26
(30)
[0.553]
65.66
(26)
[-0.315]
56.32
(29)
[-0.455]
63.34
(25)
[-0.055]
19.40
(26)
[-0.047]
75.45
(18)
[0.360]
8.76
(28)
[0.011]
18.00
(17)
[-0.439]
75.24
(20)
[0.352]
10.93
(15)
[-0.449]
60.46
(24)
[0.028]
51.10
(25)
[-0.257]
66.22
(25)
[-0.123]
69.21
(25)
[-0.032]
91.55
(2)
[1.270]
53.39
(36)
[-0.994]
8.10
(22)
[-0.026]
 25.  scarpa's TFR  [normal] 0 1 0 0  73.61 
 (24.72) 
 [-0.036] 
46.13
(20)
[0.087]
2.37
(3)
[-0.984]
23.99
(35)
[0.859]
26.70
(28)
[0.128]
25.23
(28)
[0.055]
28.73
(25)
[0.044]
12.50
(11)
[-0.900]
61.32
(25)
[-0.043]
73.00
(22)
[0.219]
68.91
(34)
[-1.006]
27.00
(22)
[-0.219]
8.56
(37)
[0.955]
68.62
(26)
[-0.147]
59.76
(25)
[-0.007]
8.61
(34)
[0.621]
69.73
(29)
[-0.239]
15.51
(24)
[-0.150]
12.03
(32)
[-0.015]
37.29
(23)
[-0.168]
33.80
(24)
[-0.068]
73.00
(22)
[0.219]
68.48
(18)
[0.331]
64.83
(24)
[0.047]
18.21
(23)
[-0.168]
68.54
(28)
[-0.202]
7.73
(22)
[-0.223]
25.28
(30)
[0.225]
68.13
(28)
[-0.198]
17.47
(31)
[0.490]
57.90
(25)
[-0.121]
55.57
(23)
[0.024]
68.82
(24)
[0.058]
70.72
(24)
[0.082]
61.21
(31)
[-0.787]
84.40
(9)
[0.811]
8.05
(21)
[-0.041]
 26.  xaos's AR3D+EM 1.0  [normal] 0 0 0 0  69.54 
 (24.72) 
 [-0.124] 
37.42
(27)
[-0.336]
59.53
(39)
[1.854]
8.86
(17)
[-0.399]
12.54
(18)
[-0.494]
13.14
(18)
[-0.480]
34.32
(28)
[0.353]
100.00
(39)
[1.704]
59.46
(26)
[-0.169]
64.81
(27)
[-0.377]
91.79
(7)
[0.925]
35.19
(27)
[0.377]
3.39
(20)
[-0.353]
69.60
(25)
[-0.072]
58.89
(26)
[-0.058]
4.88
(16)
[-0.525]
73.15
(24)
[0.046]
12.13
(18)
[-0.452]
6.70
(13)
[-0.541]
47.22
(29)
[0.478]
41.79
(29)
[0.456]
64.81
(27)
[-0.377]
54.85
(30)
[-0.550]
61.34
(26)
[-0.192]
19.76
(27)
[-0.010]
72.15
(25)
[0.091]
9.84
(31)
[0.255]
18.31
(18)
[-0.410]
69.70
(26)
[-0.076]
15.43
(27)
[0.198]
55.99
(26)
[-0.232]
49.12
(28)
[-0.381]
64.44
(27)
[-0.248]
67.22
(27)
[-0.182]
78.72
(17)
[0.400]
61.85
(30)
[-0.501]
8.65
(25)
[0.151]
 27.  xaos's GMRF+EM 2.0  [normal] 0 0 0 0  68.15 
 (26.69) 
 [-0.226] 
31.93
(28)
[-0.603]
53.27
(38)
[1.543]
11.24
(25)
[-0.201]
14.97
(21)
[-0.387]
16.91
(22)
[-0.313]
33.61
(27)
[0.314]
100.00
(39)
[1.704]
57.91
(27)
[-0.273]
63.51
(30)
[-0.472]
89.26
(13)
[0.712]
36.49
(30)
[0.472]
3.14
(17)
[-0.418]
68.41
(27)
[-0.164]
57.42
(27)
[-0.144]
4.86
(15)
[-0.532]
71.80
(25)
[-0.066]
16.04
(25)
[-0.104]
7.31
(18)
[-0.481]
48.88
(30)
[0.586]
40.15
(28)
[0.348]
63.51
(30)
[-0.472]
53.52
(32)
[-0.636]
59.43
(27)
[-0.323]
20.63
(28)
[0.078]
70.55
(26)
[-0.038]
10.20
(32)
[0.336]
19.02
(21)
[-0.345]
69.24
(27)
[-0.112]
15.27
(26)
[0.174]
53.30
(28)
[-0.388]
46.11
(30)
[-0.571]
61.88
(30)
[-0.426]
64.08
(30)
[-0.418]
75.46
(23)
[0.179]
57.53
(31)
[-0.753]
9.46
(28)
[0.408]
 28.  test's JSEG   [normal] 0 0 0 0  65.97 
 (29.28) 
 [-0.376] 
27.47
(33)
[-0.820]
38.62
(33)
[0.816]
5.04
(9)
[-0.716]
35.00
(35)
[0.492]
35.50
(35)
[0.509]
37.94
(29)
[0.554]
92.77
(36)
[1.489]
55.29
(28)
[-0.450]
61.81
(32)
[-0.595]
87.70
(18)
[0.580]
38.19
(32)
[0.595]
3.66
(21)
[-0.287]
66.74
(29)
[-0.292]
55.14
(28)
[-0.277]
4.96
(18)
[-0.503]
70.27
(28)
[-0.194]
18.45
(31)
[0.111]
11.64
(30)
[-0.054]
50.79
(32)
[0.711]
43.98
(32)
[0.600]
61.81
(32)
[-0.595]
51.94
(33)
[-0.738]
56.24
(31)
[-0.541]
23.38
(32)
[0.358]
66.85
(29)
[-0.339]
10.68
(33)
[0.446]
21.23
(24)
[-0.144]
67.54
(29)
[-0.243]
15.19
(25)
[0.162]
50.96
(31)
[-0.525]
44.46
(31)
[-0.675]
59.81
(31)
[-0.570]
61.42
(33)
[-0.618]
72.27
(28)
[-0.037]
54.02
(34)
[-0.957]
9.82
(29)
[0.524]
 29.  test's SWA def_par  [normal] 0 1 0 0  66.59 
 (28.47) 
 [-0.343] 
27.06
(34)
[-0.840]
50.21
(36)
[1.391]
4.53
(8)
[-0.758]
25.76
(27)
[0.087]
27.50
(32)
[0.155]
33.01
(26)
[0.281]
85.19
(33)
[1.263]
54.84
(29)
[-0.480]
60.67
(33)
[-0.678]
88.17
(16)
[0.620]
39.33
(33)
[0.678]
2.11
(11)
[-0.679]
66.94
(28)
[-0.276]
53.71
(29)
[-0.361]
6.11
(22)
[-0.149]
70.32
(27)
[-0.190]
17.27
(30)
[0.006]
11.50
(29)
[-0.068]
50.96
(33)
[0.722]
45.18
(34)
[0.679]
60.67
(33)
[-0.678]
51.56
(34)
[-0.763]
55.84
(32)
[-0.569]
24.20
(33)
[0.442]
69.05
(27)
[-0.160]
9.75
(30)
[0.235]
21.56
(26)
[-0.114]
70.86
(24)
[0.014]
13.68
(24)
[-0.054]
51.67
(29)
[-0.483]
43.43
(33)
[-0.740]
58.77
(33)
[-0.644]
61.69
(32)
[-0.598]
79.03
(16)
[0.421]
51.05
(38)
[-1.130]
10.34
(31)
[0.690]
 30.  xiaofang's weighted_color_patch   [normal] 0 0 0 0  68.23 
 (28.81) 
 [-0.385] 
30.92
(29)
[-0.652]
4.12
(4)
[-0.897]
26.67
(36)
[1.082]
37.40
(36)
[0.598]
35.72
(36)
[0.519]
41.32
(31)
[0.741]
28.70
(21)
[-0.418]
53.55
(30)
[-0.567]
67.49
(25)
[-0.182]
63.39
(37)
[-1.471]
32.51
(25)
[0.182]
6.60
(31)
[0.459]
62.69
(30)
[-0.604]
51.23
(30)
[-0.506]
9.34
(38)
[0.845]
64.00
(30)
[-0.717]
20.29
(32)
[0.274]
14.82
(35)
[0.260]
43.88
(25)
[0.261]
38.42
(25)
[0.235]
67.49
(25)
[-0.182]
61.93
(24)
[-0.092]
58.22
(29)
[-0.406]
22.27
(30)
[0.245]
60.97
(33)
[-0.817]
8.50
(26)
[-0.048]
28.31
(34)
[0.501]
65.70
(31)
[-0.385]
16.83
(29)
[0.399]
54.93
(27)
[-0.294]
50.40
(26)
[-0.301]
65.57
(26)
[-0.168]
66.85
(28)
[-0.210]
59.53
(32)
[-0.900]
76.91
(21)
[0.375]
9.89
(30)
[0.546]
f1 f2 f3 f4 AVG
RANK
NORM
CS
44.33
±20.57
OS
22.18
±20.14
US
13.65
±12.03
ME
23.79
±22.77
NE
23.99
±22.62
O
27.94
±18.07
C
42.74
±33.61
criterion 'CA' (class accuracy) in descending orderCA
61.97
±14.85
CO
69.99
±13.75
CC
80.82
±11.85
I
30.01
±13.75
II
4.79
±3.95
EA
70.54
±12.99
MS
59.87
±17.09
RM
6.59
±3.25
CI
72.59
±11.99
GCE
17.21
±11.25
LCE
12.18
±10.14
BCE
39.86
±15.37
GBCE
34.84
±15.23
BGM
69.99
±13.75
SC
63.36
±15.46
SSC
64.15
±14.61
VD
19.86
±9.81
L
71.02
±12.30
AVI
8.71
±4.42
NVI
22.81
±10.97
NMI
70.69
±12.94
M
14.05
±6.97
ARI
59.97
±17.17
JC
55.18
±15.88
DC
67.98
±14.32
FMI
69.63
±13.28
WI
72.82
±14.75
WII
70.47
±17.19
NBDE
8.18
±3.14
 31.  jolen217's Deep Brain Model   [large] 0 0 0 0  67.18 
 (25.53) 
 [-0.364] 
38.00
(25)
[-0.308]
41.53
(34)
[0.960]
52.52
(42)
[3.230]
4.21
(5)
[-0.860]
5.46
(7)
[-0.819]
45.27
(36)
[0.960]
99.63
(38)
[1.693]
51.84
(31)
[-0.682]
64.66
(28)
[-0.388]
72.83
(32)
[-0.675]
35.34
(28)
[0.388]
9.89
(38)
[1.293]
58.77
(33)
[-0.906]
49.29
(31)
[-0.619]
2.88
(1)
[-1.140]
61.50
(33)
[-0.925]
10.61
(12)
[-0.586]
5.14
(5)
[-0.695]
45.13
(27)
[0.342]
39.65
(27)
[0.316]
64.66
(28)
[-0.388]
60.14
(26)
[-0.208]
58.32
(28)
[-0.399]
19.20
(25)
[-0.067]
62.95
(30)
[-0.656]
8.48
(25)
[-0.053]
10.29
(2)
[-1.141]
65.13
(32)
[-0.429]
23.02
(38)
[1.286]
51.62
(30)
[-0.487]
49.93
(27)
[-0.330]
64.37
(28)
[-0.252]
67.76
(26)
[-0.141]
55.31
(35)
[-1.187]
88.07
(3)
[1.024]
8.26
(23)
[0.028]
 32.  test's EGBIS   [normal] 0 0 0 0  66.03 
 (30.06) 
 [-0.503] 
28.78
(31)
[-0.756]
19.69
(31)
[-0.124]
39.15
(40)
[2.119]
20.42
(25)
[-0.148]
21.54
(25)
[-0.108]
44.35
(34)
[0.908]
82.87
(32)
[1.194]
51.10
(32)
[-0.732]
64.12
(29)
[-0.427]
72.73
(33)
[-0.683]
35.88
(29)
[0.427]
7.59
(35)
[0.709]
59.88
(31)
[-0.820]
49.03
(32)
[-0.635]
8.38
(33)
[0.548]
63.11
(31)
[-0.791]
16.64
(27)
[-0.051]
8.97
(24)
[-0.317]
46.67
(28)
[0.443]
39.00
(26)
[0.273]
64.12
(29)
[-0.427]
58.75
(27)
[-0.298]
56.28
(30)
[-0.538]
21.29
(29)
[0.145]
62.16
(31)
[-0.720]
8.58
(27)
[-0.031]
21.24
(25)
[-0.143]
66.50
(30)
[-0.323]
19.72
(34)
[0.814]
49.98
(32)
[-0.582]
46.39
(29)
[-0.553]
62.19
(29)
[-0.405]
64.19
(29)
[-0.410]
55.71
(33)
[-1.160]
76.97
(20)
[0.378]
13.05
(40)
[1.555]
 33.  test's HGS  [normal] 0 0 0 0  65.01 
 (31.83) 
 [-0.708] 
29.81
(30)
[-0.706]
10.69
(12)
[-0.570]
33.76
(39)
[1.671]
26.89
(29)
[0.136]
25.04
(27)
[0.046]
48.94
(37)
[1.162]
32.39
(23)
[-0.308]
49.60
(33)
[-0.833]
63.37
(31)
[-0.481]
66.09
(36)
[-1.244]
36.63
(31)
[0.481]
13.51
(41)
[2.209]
58.74
(34)
[-0.908]
46.63
(33)
[-0.775]
13.31
(40)
[2.065]
61.17
(35)
[-0.953]
16.75
(28)
[-0.040]
10.46
(26)
[-0.170]
49.80
(31)
[0.646]
43.51
(31)
[0.569]
63.37
(31)
[-0.481]
57.52
(28)
[-0.378]
53.33
(33)
[-0.741]
22.90
(31)
[0.309]
58.60
(34)
[-1.009]
9.46
(29)
[0.170]
30.28
(35)
[0.681]
57.28
(36)
[-1.036]
27.95
(41)
[1.994]
41.52
(34)
[-1.075]
43.98
(32)
[-0.705]
58.92
(32)
[-0.633]
62.21
(31)
[-0.559]
50.58
(38)
[-1.508]
81.27
(17)
[0.629]
11.42
(37)
[1.035]
 34.  kamenluk's kamenluk test  [normal] 0 0 0 0  59.94 
 (33.06) 
 [-0.949] 
21.74
(35)
[-1.099]
8.14
(9)
[-0.697]
2.07
(5)
[-0.963]
67.75
(38)
[1.931]
65.81
(38)
[1.849]
40.75
(30)
[0.709]
40.94
(26)
[-0.053]
47.30
(34)
[-0.988]
59.89
(34)
[-0.735]
67.76
(35)
[-1.103]
40.11
(34)
[0.735]
7.20
(34)
[0.612]
59.69
(32)
[-0.835]
39.86
(35)
[-1.171]
8.99
(36)
[0.737]
61.64
(32)
[-0.914]
39.70
(38)
[2.000]
30.66
(38)
[1.823]
54.15
(35)
[0.929]
45.11
(33)
[0.674]
59.89
(34)
[-0.735]
49.53
(35)
[-0.895]
48.70
(35)
[-1.057]
33.50
(36)
[1.389]
57.31
(35)
[-1.114]
12.57
(35)
[0.873]
42.33
(38)
[1.780]
53.02
(37)
[-1.366]
19.50
(33)
[0.781]
42.13
(33)
[-1.039]
39.76
(35)
[-0.971]
54.66
(34)
[-0.931]
54.92
(35)
[-1.108]
54.52
(36)
[-1.240]
55.84
(32)
[-0.851]
11.02
(36)
[0.907]
 35.  test's Blobworld   [normal] 0 0 0 0  59.72 
 (34.00) 
 [-0.929] 
21.01
(36)
[-1.134]
7.33
(7)
[-0.737]
9.30
(19)
[-0.362]
59.55
(37)
[1.571]
61.68
(37)
[1.666]
41.45
(32)
[0.748]
58.94
(30)
[0.482]
46.23
(35)
[-1.060]
56.04
(37)
[-1.015]
73.62
(31)
[-0.608]
43.96
(37)
[1.015]
6.72
(32)
[0.488]
58.37
(35)
[-0.936]
40.36
(34)
[-1.142]
7.96
(31)
[0.419]
61.31
(34)
[-0.941]
31.16
(37)
[1.241]
23.19
(37)
[1.086]
56.72
(37)
[1.096]
48.75
(36)
[0.913]
56.04
(37)
[-1.015]
45.75
(37)
[-1.139]
48.66
(36)
[-1.060]
31.11
(35)
[1.146]
61.54
(32)
[-0.770]
12.33
(34)
[0.820]
32.70
(36)
[0.902]
57.36
(35)
[-1.030]
20.03
(36)
[0.857]
39.74
(35)
[-1.178]
36.22
(37)
[-1.193]
51.87
(37)
[-1.125]
52.90
(36)
[-1.260]
55.64
(34)
[-1.165]
52.32
(37)
[-1.055]
12.18
(39)
[1.276]
 36.  pavelm10's base   [large] 0 0 0 0  57.57 
 (34.75) 
 [-1.111] 
15.03
(38)
[-1.425]
7.45
(8)
[-0.731]
5.73
(10)
[-0.659]
71.45
(39)
[2.093]
70.33
(39)
[2.049]
42.80
(33)
[0.823]
43.04
(27)
[0.009]
44.01
(36)
[-1.209]
57.43
(36)
[-0.914]
63.10
(39)
[-1.496]
42.57
(36)
[0.914]
8.47
(36)
[0.932]
57.00
(36)
[-1.042]
36.17
(38)
[-1.387]
8.11
(32)
[0.467]
58.55
(36)
[-1.171]
41.99
(39)
[2.204]
33.47
(39)
[2.100]
56.18
(36)
[1.061]
47.66
(35)
[0.842]
57.43
(36)
[-0.914]
46.82
(36)
[-1.070]
46.31
(37)
[-1.221]
35.13
(38)
[1.556]
56.79
(36)
[-1.157]
13.15
(36)
[1.004]
44.70
(39)
[1.996]
51.24
(39)
[-1.503]
19.90
(35)
[0.839]
39.36
(36)
[-1.201]
36.47
(36)
[-1.178]
52.04
(36)
[-1.114]
52.32
(37)
[-1.304]
51.41
(37)
[-1.452]
53.79
(35)
[-0.970]
10.55
(34)
[0.757]
 37.  test's HGS  [normal] 0 0 0 0  60.24 
 (34.64) 
 [-1.199] 
27.57
(32)
[-0.815]
8.63
(10)
[-0.673]
45.82
(41)
[2.674]
27.22
(30)
[0.151]
26.54
(29)
[0.113]
53.84
(38)
[1.434]
35.44
(24)
[-0.217]
43.74
(37)
[-1.227]
58.05
(35)
[-0.868]
56.48
(41)
[-2.055]
41.95
(35)
[0.868]
19.99
(42)
[3.853]
51.11
(38)
[-1.495]
37.41
(37)
[-1.315]
19.29
(42)
[3.901]
53.33
(39)
[-1.607]
17.20
(29)
[-0.000]
13.62
(33)
[0.142]
53.08
(34)
[0.859]
49.49
(37)
[0.962]
58.05
(35)
[-0.868]
54.07
(31)
[-0.601]
48.87
(34)
[-1.046]
27.12
(34)
[0.740]
53.36
(37)
[-1.435]
14.08
(37)
[1.215]
34.51
(37)
[1.066]
51.59
(38)
[-1.476]
35.99
(42)
[3.148]
36.13
(37)
[-1.388]
40.54
(34)
[-0.922]
54.16
(35)
[-0.965]
58.24
(34)
[-0.858]
44.09
(41)
[-1.947]
82.17
(16)
[0.681]
16.69
(42)
[2.715]
 38.  Alojz's TAlgorithm 0.1  [normal] 0 0 1 0  52.97 
 (37.42) 
 [-1.555] 
13.11
(39)
[-1.518]
11.94
(16)
[-0.509]
8.18
(16)
[-0.455]
76.71
(40)
[2.324]
77.30
(40)
[2.356]
44.41
(35)
[0.912]
46.76
(28)
[0.120]
40.40
(38)
[-1.452]
52.42
(38)
[-1.278]
63.23
(38)
[-1.485]
47.58
(38)
[1.278]
12.47
(40)
[1.946]
52.83
(37)
[-1.363]
31.07
(40)
[-1.686]
14.09
(41)
[2.305]
55.02
(38)
[-1.466]
45.06
(41)
[2.477]
37.72
(40)
[2.520]
61.44
(38)
[1.403]
54.10
(38)
[1.265]
52.42
(38)
[-1.278]
41.97
(38)
[-1.383]
41.82
(38)
[-1.528]
39.59
(40)
[2.010]
51.93
(38)
[-1.551]
18.79
(40)
[2.282]
47.89
(40)
[2.287]
44.63
(40)
[-2.013]
25.93
(40)
[1.704]
32.97
(39)
[-1.573]
31.47
(39)
[-1.493]
45.98
(39)
[-1.537]
46.62
(40)
[-1.732]
46.86
(39)
[-1.760]
47.76
(39)
[-1.321]
15.50
(41)
[2.336]
 39.  ales.hejl's ed_ah  [normal] 0 0 0 0  55.83 
 (32.61) 
 [-1.072] 
17.54
(37)
[-1.303]
52.99
(37)
[1.530]
0.00
(1)
[-1.135]
30.29
(33)
[0.286]
34.59
(34)
[0.469]
64.37
(41)
[2.016]
100.00
(39)
[1.704]
38.26
(39)
[-1.597]
40.46
(41)
[-2.148]
92.77
(6)
[1.009]
59.54
(41)
[2.148]
1.28
(4)
[-0.890]
48.85
(39)
[-1.669]
37.89
(36)
[-1.286]
3.74
(7)
[-0.876]
55.96
(37)
[-1.388]
13.12
(19)
[-0.363]
11.91
(31)
[-0.027]
69.24
(40)
[1.911]
68.03
(41)
[2.179]
40.46
(41)
[-2.148]
31.85
(40)
[-2.038]
38.40
(40)
[-1.762]
34.18
(37)
[1.459]
51.81
(39)
[-1.561]
17.88
(39)
[2.077]
25.68
(31)
[0.262]
60.66
(34)
[-0.775]
16.10
(28)
[0.294]
35.27
(38)
[-1.439]
28.30
(40)
[-1.692]
41.55
(40)
[-1.846]
48.37
(38)
[-1.600]
85.00
(10)
[0.826]
30.21
(41)
[-2.342]
10.65
(35)
[0.790]
 40.  py's CGCHI   [large] 0 0 0 0  51.34 
 (37.17) 
 [-1.580] 
10.94
(41)
[-1.623]
2.19
(2)
[-0.992]
3.96
(7)
[-0.806]
81.91
(41)
[2.553]
81.39
(41)
[2.537]
59.33
(39)
[1.737]
51.77
(29)
[0.269]
35.62
(40)
[-1.774]
50.50
(39)
[-1.418]
49.27
(42)
[-2.663]
49.50
(39)
[1.418]
10.69
(39)
[1.496]
47.04
(40)
[-1.808]
26.89
(41)
[-1.930]
10.28
(39)
[1.134]
48.39
(41)
[-2.019]
42.35
(40)
[2.236]
38.59
(41)
[2.605]
62.15
(39)
[1.450]
58.39
(39)
[1.546]
50.50
(39)
[-1.418]
41.93
(39)
[-1.386]
39.53
(39)
[-1.685]
40.15
(41)
[2.067]
48.15
(40)
[-1.859]
15.31
(38)
[1.493]
50.16
(41)
[2.493]
39.47
(41)
[-2.413]
25.32
(39)
[1.617]
30.89
(40)
[-1.694]
31.50
(38)
[-1.491]
46.39
(38)
[-1.508]
47.54
(39)
[-1.663]
43.30
(42)
[-2.001]
54.28
(33)
[-0.942]
10.44
(32)
[0.723]
 41.  siddharth's My algo1 0.1  [normal] 0 0 0 0  46.12 
 (38.25) 
 [-1.911] 
6.21
(42)
[-1.853]
4.72
(5)
[-0.867]
1.24
(3)
[-1.032]
86.25
(42)
[2.743]
86.52
(42)
[2.764]
59.41
(40)
[1.742]
70.16
(31)
[0.816]
31.76
(41)
[-2.034]
40.60
(40)
[-2.138]
61.24
(40)
[-1.653]
59.41
(40)
[2.138]
7.01
(33)
[0.563]
45.21
(41)
[-1.949]
20.36
(42)
[-2.313]
9.33
(37)
[0.842]
47.85
(42)
[-2.064]
51.10
(42)
[3.014]
46.25
(42)
[3.361]
70.95
(41)
[2.022]
66.10
(40)
[2.053]
40.60
(40)
[-2.138]
30.85
(41)
[-2.102]
32.95
(41)
[-2.136]
47.91
(42)
[2.858]
45.58
(41)
[-2.067]
19.24
(41)
[2.384]
54.43
(42)
[2.883]
36.40
(42)
[-2.649]
22.77
(37)
[1.251]
22.97
(42)
[-2.155]
22.58
(41)
[-2.052]
35.98
(41)
[-2.235]
37.05
(42)
[-2.453]
45.58
(40)
[-1.847]
30.81
(40)
[-2.307]
11.62
(38)
[1.097]
 42.  test's EDISON 1.1  [normal] 0 0 0 0  53.36 
 (30.44) 
 [-1.247] 
12.68
(40)
[-1.539]
86.91
(42)
[3.214]
0.00
(1)
[-1.135]
2.48
(1)
[-0.936]
4.68
(6)
[-0.854]
73.17
(42)
[2.504]
100.00
(39)
[1.704]
31.19
(42)
[-2.072]
31.55
(42)
[-2.796]
98.09
(1)
[1.457]
68.45
(42)
[2.796]
0.24
(1)
[-1.152]
41.29
(42)
[-2.251]
31.13
(39)
[-1.682]
3.21
(4)
[-1.039]
50.29
(40)
[-1.861]
3.55
(1)
[-1.215]
3.44
(1)
[-0.863]
77.11
(42)
[2.423]
77.00
(42)
[2.768]
31.55
(42)
[-2.796]
23.11
(42)
[-2.603]
31.19
(42)
[-2.256]
35.37
(39)
[1.580]
44.44
(42)
[-2.160]
20.23
(42)
[2.610]
26.13
(32)
[0.302]
62.00
(33)
[-0.671]
16.84
(30)
[0.400]
28.00
(41)
[-1.862]
21.64
(42)
[-2.112]
32.51
(42)
[-2.478]
42.66
(41)
[-2.031]
95.06
(1)
[1.508]
21.85
(42)
[-2.828]
10.49
(33)
[0.739]