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final curiousity experiments

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Tinsae
2026-07-12 12:47:44 +02:00
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102
reports/CertifiedUnlearning/ResNet/time_metrics.txt
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@@ -364,3 +364,105 @@ execution_time_sec
395.553217
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395.703417
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398.598795
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reports/CertifiedUnlearning/values.csv Normal file
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@@ -0,0 +1,103 @@
target_class, parameter_mia_accuracy, lookalike_accuracy, A-Dist, JS-Dist
0,0.500000,0.829167, 0.020833, 0.635532
1,0.500000,0.197917, 0.104167, 0.451290
2,0.500000,0.454167, 0.093750, 0.492340
3,0.500000,0.650000, 0.062500, 0.453693
4,0.500000,0.258333, 0.343750, 0.575972
5,0.500000,0.585417, 0.281250, 0.562983
6,0.500000,0.256250, 0.302083, 0.465092
7,0.500000,0.550000, 0.177083, 0.511510
8,0.500000,0.331250, 0.072917, 0.473632
9,0.500000,0.985417, 0.343750, 0.725261
10,0.500000,1.000000, 0.031250, 0.633027
11,0.500000,0.820833, 0.208333, 0.578812
12,0.500000,0.756250, 0.239583, 0.636515
13,0.500000,0.987500, 0.052083, 0.668559
14,0.500000,0.270833, 0.010417, 0.467717
15,0.500000,0.252083, 0.083333, 0.540191
16,0.500000,0.385417, 0.114583, 0.470983
17,0.500000,0.322917, 0.135417, 0.487943
18,0.500000,0.487500, 0.031250, 0.492180
19,0.500000,0.547917, 0.041667, 0.575168
0,0.500000,0.950000, 0.208333, 0.655901
1,0.500000,0.206250, 0.083333, 0.517121
2,0.500000,0.387500, 0.125000, 0.505111
3,0.500000,0.827083, 0.166667, 0.552245
4,0.500000,0.256250, 0.281250, 0.575184
5,0.500000,0.562500, 0.270833, 0.548510
6,0.500000,0.252083, 0.270833, 0.532519
7,0.500000,0.429167, 0.000000, 0.543832
8,0.500000,0.204167, 0.145833, 0.511732
9,0.500000,0.437500, 0.052083, 0.558003
10,0.500000,1.000000, 0.104167, 0.707821
11,0.500000,0.743750, 0.114583, 0.602524
12,0.500000,0.477083, 0.125000, 0.515099
13,0.500000,0.987500, 0.135417, 0.742003
14,0.500000,0.322917, 0.104167, 0.490033
15,0.500000,0.329167, 0.041667, 0.540890
16,0.500000,0.962500, 0.166667, 0.475392
17,0.500000,0.372917, 0.083333, 0.455598
18,0.500000,0.527083, 0.072917, 0.537237
19,0.500000,0.252083, 0.166667, 0.484630
0,0.500000,0.979167, 0.125000, 0.703407
1,0.500000,0.116667, 0.177083, 0.500014
2,0.500000,0.360417, 0.104167, 0.497060
3,0.500000,0.947917, 0.250000, 0.599938
4,0.500000,0.283333, 0.312500, 0.582296
5,0.500000,0.927083, 0.041667, 0.610601
6,0.500000,0.277083, 0.343750, 0.515391
7,0.500000,0.495833, 0.041667, 0.470818
8,0.500000,0.356250, 0.114583, 0.542806
9,0.500000,0.993750, 0.229167, 0.732571
10,0.500000,1.000000, 0.052083, 0.632766
11,0.500000,0.712500, 0.208333, 0.551207
12,0.500000,0.193750, 0.239583, 0.412040
13,0.500000,0.993750, 0.135417, 0.677506
14,0.500000,0.354167, 0.177083, 0.462473
15,0.500000,0.285417, 0.114583, 0.545430
16,0.500000,0.454167, 0.218750, 0.527519
17,0.500000,0.285417, 0.104167, 0.480010
18,0.525000,0.666667, 0.166667, 0.539912
19,0.500000,0.633333, 0.239583, 0.502165
0,0.500000,0.637500, 0.010417, 0.580623
1,0.500000,0.202083, 0.135417, 0.490814
2,0.500000,0.275000, 0.000000, 0.520270
3,0.500000,0.500000, 0.166667, 0.401563
4,0.500000,0.597917, 0.062500, 0.588209
5,0.500000,0.991667, 0.020833, 0.682998
6,0.500000,0.222917, 0.302083, 0.515843
7,0.500000,0.281250, 0.156250, 0.557951
8,0.500000,0.191667, 0.052083, 0.457328
9,0.500000,0.987500, 0.208333, 0.676620
10,0.500000,1.000000, 0.166667, 0.723199
11,0.500000,0.958333, 0.062500, 0.681015
12,0.500000,0.495833, 0.208333, 0.518211
13,0.500000,0.993750, 0.062500, 0.696251
14,0.500000,0.283333, 0.104167, 0.480926
15,0.500000,0.287500, 0.114583, 0.535151
16,0.500000,0.704167, 0.218750, 0.475464
17,0.500000,0.368750, 0.145833, 0.462922
18,0.518750,0.489583, 0.166667, 0.549473
19,0.500000,0.366667, 0.093750, 0.511173
0,0.500000,0.993750, 0.072917, 0.674594
1,0.500000,0.208333, 0.104167, 0.509519
2,0.500000,0.200000, 0.083333, 0.554513
3,0.500000,0.639583, 0.072917, 0.472225
4,0.500000,0.272917, 0.250000, 0.572284
5,0.500000,0.995833, 0.125000, 0.645992
6,0.500000,0.289583, 0.156250, 0.505494
7,0.500000,0.329167, 0.125000, 0.562745
8,0.500000,0.506250, 0.072917, 0.586938
9,0.500000,0.647917, 0.093750, 0.621831
10,0.500000,1.000000, 0.260417, 0.760782
11,0.500000,0.708333, 0.104167, 0.595735
12,0.500000,0.447917, 0.239583, 0.414643
13,0.500000,0.954167, 0.104167, 0.513961
14,0.500000,0.318750, 0.208333, 0.476281
15,0.500000,0.320833, 0.062500, 0.540674
16,0.500000,0.589583, 0.156250, 0.525595
17,0.500000,0.295833, 0.052083, 0.456003
18,0.500000,0.612500, 0.104167, 0.526532
19,0.500000,0.362500, 0.041667, 0.469123
0,0.500000,0.852083, 0.145833, 0.652528
1,0.500000,0.185417, 0.052083, 0.504167
1 target_class parameter_mia_accuracy lookalike_accuracy A-Dist JS-Dist
2 0 0.500000 0.829167 0.020833 0.635532
3 1 0.500000 0.197917 0.104167 0.451290
4 2 0.500000 0.454167 0.093750 0.492340
5 3 0.500000 0.650000 0.062500 0.453693
6 4 0.500000 0.258333 0.343750 0.575972
7 5 0.500000 0.585417 0.281250 0.562983
8 6 0.500000 0.256250 0.302083 0.465092
9 7 0.500000 0.550000 0.177083 0.511510
10 8 0.500000 0.331250 0.072917 0.473632
11 9 0.500000 0.985417 0.343750 0.725261
12 10 0.500000 1.000000 0.031250 0.633027
13 11 0.500000 0.820833 0.208333 0.578812
14 12 0.500000 0.756250 0.239583 0.636515
15 13 0.500000 0.987500 0.052083 0.668559
16 14 0.500000 0.270833 0.010417 0.467717
17 15 0.500000 0.252083 0.083333 0.540191
18 16 0.500000 0.385417 0.114583 0.470983
19 17 0.500000 0.322917 0.135417 0.487943
20 18 0.500000 0.487500 0.031250 0.492180
21 19 0.500000 0.547917 0.041667 0.575168
22 0 0.500000 0.950000 0.208333 0.655901
23 1 0.500000 0.206250 0.083333 0.517121
24 2 0.500000 0.387500 0.125000 0.505111
25 3 0.500000 0.827083 0.166667 0.552245
26 4 0.500000 0.256250 0.281250 0.575184
27 5 0.500000 0.562500 0.270833 0.548510
28 6 0.500000 0.252083 0.270833 0.532519
29 7 0.500000 0.429167 0.000000 0.543832
30 8 0.500000 0.204167 0.145833 0.511732
31 9 0.500000 0.437500 0.052083 0.558003
32 10 0.500000 1.000000 0.104167 0.707821
33 11 0.500000 0.743750 0.114583 0.602524
34 12 0.500000 0.477083 0.125000 0.515099
35 13 0.500000 0.987500 0.135417 0.742003
36 14 0.500000 0.322917 0.104167 0.490033
37 15 0.500000 0.329167 0.041667 0.540890
38 16 0.500000 0.962500 0.166667 0.475392
39 17 0.500000 0.372917 0.083333 0.455598
40 18 0.500000 0.527083 0.072917 0.537237
41 19 0.500000 0.252083 0.166667 0.484630
42 0 0.500000 0.979167 0.125000 0.703407
43 1 0.500000 0.116667 0.177083 0.500014
44 2 0.500000 0.360417 0.104167 0.497060
45 3 0.500000 0.947917 0.250000 0.599938
46 4 0.500000 0.283333 0.312500 0.582296
47 5 0.500000 0.927083 0.041667 0.610601
48 6 0.500000 0.277083 0.343750 0.515391
49 7 0.500000 0.495833 0.041667 0.470818
50 8 0.500000 0.356250 0.114583 0.542806
51 9 0.500000 0.993750 0.229167 0.732571
52 10 0.500000 1.000000 0.052083 0.632766
53 11 0.500000 0.712500 0.208333 0.551207
54 12 0.500000 0.193750 0.239583 0.412040
55 13 0.500000 0.993750 0.135417 0.677506
56 14 0.500000 0.354167 0.177083 0.462473
57 15 0.500000 0.285417 0.114583 0.545430
58 16 0.500000 0.454167 0.218750 0.527519
59 17 0.500000 0.285417 0.104167 0.480010
60 18 0.525000 0.666667 0.166667 0.539912
61 19 0.500000 0.633333 0.239583 0.502165
62 0 0.500000 0.637500 0.010417 0.580623
63 1 0.500000 0.202083 0.135417 0.490814
64 2 0.500000 0.275000 0.000000 0.520270
65 3 0.500000 0.500000 0.166667 0.401563
66 4 0.500000 0.597917 0.062500 0.588209
67 5 0.500000 0.991667 0.020833 0.682998
68 6 0.500000 0.222917 0.302083 0.515843
69 7 0.500000 0.281250 0.156250 0.557951
70 8 0.500000 0.191667 0.052083 0.457328
71 9 0.500000 0.987500 0.208333 0.676620
72 10 0.500000 1.000000 0.166667 0.723199
73 11 0.500000 0.958333 0.062500 0.681015
74 12 0.500000 0.495833 0.208333 0.518211
75 13 0.500000 0.993750 0.062500 0.696251
76 14 0.500000 0.283333 0.104167 0.480926
77 15 0.500000 0.287500 0.114583 0.535151
78 16 0.500000 0.704167 0.218750 0.475464
79 17 0.500000 0.368750 0.145833 0.462922
80 18 0.518750 0.489583 0.166667 0.549473
81 19 0.500000 0.366667 0.093750 0.511173
82 0 0.500000 0.993750 0.072917 0.674594
83 1 0.500000 0.208333 0.104167 0.509519
84 2 0.500000 0.200000 0.083333 0.554513
85 3 0.500000 0.639583 0.072917 0.472225
86 4 0.500000 0.272917 0.250000 0.572284
87 5 0.500000 0.995833 0.125000 0.645992
88 6 0.500000 0.289583 0.156250 0.505494
89 7 0.500000 0.329167 0.125000 0.562745
90 8 0.500000 0.506250 0.072917 0.586938
91 9 0.500000 0.647917 0.093750 0.621831
92 10 0.500000 1.000000 0.260417 0.760782
93 11 0.500000 0.708333 0.104167 0.595735
94 12 0.500000 0.447917 0.239583 0.414643
95 13 0.500000 0.954167 0.104167 0.513961
96 14 0.500000 0.318750 0.208333 0.476281
97 15 0.500000 0.320833 0.062500 0.540674
98 16 0.500000 0.589583 0.156250 0.525595
99 17 0.500000 0.295833 0.052083 0.456003
100 18 0.500000 0.612500 0.104167 0.526532
101 19 0.500000 0.362500 0.041667 0.469123
102 0 0.500000 0.852083 0.145833 0.652528
103 1 0.500000 0.185417 0.052083 0.504167

2
reports/LinearFiltration/RESNET34/forget.csv
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@@ -471,3 +471,5 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
471 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
472 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
473 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
474 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
475 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

2
reports/LinearFiltration/RESNET34/forget_train.csv
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@@ -471,3 +471,5 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
471 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
472 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
473 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
474 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
475 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

2
reports/LinearFiltration/RESNET34/retain.csv
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@@ -471,3 +471,5 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9520,0.9538,0.9520,0.9523,0.9538,0.9520,0.9523
0.9539,0.9554,0.9539,0.9542,0.9554,0.9539,0.9542
0.9526,0.9544,0.9526,0.9529,0.9544,0.9526,0.9529
0.9526,0.9541,0.9526,0.9529,0.9541,0.9526,0.9529
0.9533,0.9551,0.9533,0.9536,0.9551,0.9533,0.9536
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
471 0.9520 0.9538 0.9520 0.9523 0.9538 0.9520 0.9523
472 0.9539 0.9554 0.9539 0.9542 0.9554 0.9539 0.9542
473 0.9526 0.9544 0.9526 0.9529 0.9544 0.9526 0.9529
474 0.9526 0.9541 0.9526 0.9529 0.9541 0.9526 0.9529
475 0.9533 0.9551 0.9533 0.9536 0.9551 0.9533 0.9536

2
reports/LinearFiltration/ResNet/time_metrics.txt
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@@ -439,3 +439,5 @@ execution_time_sec
0.001898
0.001888
0.001884
1.632938
0.001915

42
reports/WeightFiltration/RESNET34/forget.csv
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@@ -471,3 +471,45 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.1375,1.0000,0.1375,0.2418,1.0000,0.1375,0.2418
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.2125,1.0000,0.2125,0.3505,1.0000,0.2125,0.3505
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0875,1.0000,0.0875,0.1609,1.0000,0.0875,0.1609
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0375,1.0000,0.0375,0.0723,1.0000,0.0375,0.0723
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0625,1.0000,0.0625,0.1176,1.0000,0.0625,0.1176
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
471 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
472 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
473 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
474 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
475 0.1375 1.0000 0.1375 0.2418 1.0000 0.1375 0.2418
476 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
477 0.2125 1.0000 0.2125 0.3505 1.0000 0.2125 0.3505
478 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
479 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
480 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
481 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
482 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
483 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
484 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
485 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
486 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
487 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
488 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
489 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
490 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
491 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
492 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
493 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
494 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
495 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
496 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
497 0.0875 1.0000 0.0875 0.1609 1.0000 0.0875 0.1609
498 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
499 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
500 0.0375 1.0000 0.0375 0.0723 1.0000 0.0375 0.0723
501 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
502 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
503 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
504 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
505 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
506 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
507 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
508 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
509 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
510 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
511 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
512 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
513 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
514 0.0625 1.0000 0.0625 0.1176 1.0000 0.0625 0.1176
515 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

42
reports/WeightFiltration/RESNET34/forget_train.csv
View File

@@ -471,3 +471,45 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1219,1.0000,0.1219,0.2173,1.0000,0.1219,0.2173
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.2375,1.0000,0.2375,0.3838,1.0000,0.2375,0.3838
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0063,1.0000,0.0063,0.0124,1.0000,0.0063,0.0124
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0437,1.0000,0.0437,0.0838,1.0000,0.0437,0.0838
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0719,1.0000,0.0719,0.1341,1.0000,0.0719,0.1341
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.0063,1.0000,0.0063,0.0124,1.0000,0.0063,0.0124
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0437,1.0000,0.0437,0.0838,1.0000,0.0437,0.0838
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
471 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
472 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
473 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
474 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
475 0.1219 1.0000 0.1219 0.2173 1.0000 0.1219 0.2173
476 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
477 0.2375 1.0000 0.2375 0.3838 1.0000 0.2375 0.3838
478 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
479 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
480 0.0063 1.0000 0.0063 0.0124 1.0000 0.0063 0.0124
481 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
482 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
483 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
484 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
485 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
486 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
487 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
488 0.0437 1.0000 0.0437 0.0838 1.0000 0.0437 0.0838
489 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
490 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
491 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
492 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
493 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
494 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
495 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
496 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
497 0.0719 1.0000 0.0719 0.1341 1.0000 0.0719 0.1341
498 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
499 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
500 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
501 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
502 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
503 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
504 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
505 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
506 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
507 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
508 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
509 0.0063 1.0000 0.0063 0.0124 1.0000 0.0063 0.0124
510 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
511 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
512 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
513 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
514 0.0437 1.0000 0.0437 0.0838 1.0000 0.0437 0.0838
515 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

42
reports/WeightFiltration/RESNET34/retain.csv
View File

@@ -471,3 +471,45 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9559,0.9566,0.9559,0.9560,0.9566,0.9559,0.9560
0.9566,0.9574,0.9566,0.9567,0.9574,0.9566,0.9567
0.9559,0.9571,0.9559,0.9561,0.9571,0.9559,0.9561
0.9513,0.9536,0.9513,0.9517,0.9536,0.9513,0.9517
0.9520,0.9540,0.9520,0.9523,0.9540,0.9520,0.9523
0.9513,0.9536,0.9513,0.9517,0.9536,0.9513,0.9517
0.9520,0.9542,0.9520,0.9524,0.9542,0.9520,0.9524
0.9513,0.9523,0.9513,0.9514,0.9523,0.9513,0.9514
0.9539,0.9557,0.9539,0.9542,0.9557,0.9539,0.9542
0.9586,0.9605,0.9586,0.9589,0.9605,0.9586,0.9589
0.9566,0.9584,0.9566,0.9568,0.9584,0.9566,0.9568
0.9526,0.9545,0.9526,0.9530,0.9545,0.9526,0.9530
0.9487,0.9518,0.9487,0.9493,0.9518,0.9487,0.9493
0.9539,0.9552,0.9539,0.9541,0.9552,0.9539,0.9541
0.9526,0.9539,0.9526,0.9529,0.9539,0.9526,0.9529
0.9553,0.9566,0.9553,0.9555,0.9566,0.9553,0.9555
0.9539,0.9561,0.9539,0.9543,0.9561,0.9539,0.9543
0.9500,0.9518,0.9500,0.9503,0.9518,0.9500,0.9503
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9558,0.9546,0.9547,0.9558,0.9546,0.9547
0.9513,0.9532,0.9513,0.9516,0.9532,0.9513,0.9516
0.9493,0.9516,0.9493,0.9497,0.9516,0.9493,0.9497
0.9513,0.9536,0.9513,0.9516,0.9536,0.9513,0.9516
0.9520,0.9533,0.9520,0.9521,0.9533,0.9520,0.9521
0.9533,0.9545,0.9533,0.9535,0.9545,0.9533,0.9535
0.9513,0.9536,0.9513,0.9517,0.9536,0.9513,0.9517
0.9520,0.9538,0.9520,0.9523,0.9538,0.9520,0.9523
0.9513,0.9523,0.9513,0.9514,0.9523,0.9513,0.9514
0.9533,0.9551,0.9533,0.9536,0.9551,0.9533,0.9536
0.9572,0.9590,0.9572,0.9576,0.9590,0.9572,0.9576
0.9566,0.9583,0.9566,0.9568,0.9583,0.9566,0.9568
0.9533,0.9551,0.9533,0.9536,0.9551,0.9533,0.9536
0.9500,0.9529,0.9500,0.9506,0.9529,0.9500,0.9506
0.9553,0.9565,0.9553,0.9554,0.9565,0.9553,0.9554
0.9520,0.9534,0.9520,0.9522,0.9534,0.9520,0.9522
0.9546,0.9562,0.9546,0.9549,0.9562,0.9546,0.9549
0.9526,0.9547,0.9526,0.9530,0.9547,0.9526,0.9530
0.9507,0.9524,0.9507,0.9509,0.9524,0.9507,0.9509
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9546,0.9558,0.9546,0.9547,0.9558,0.9546,0.9547
0.9520,0.9539,0.9520,0.9522,0.9539,0.9520,0.9522
0.9493,0.9515,0.9493,0.9496,0.9515,0.9493,0.9496
0.9520,0.9542,0.9520,0.9523,0.9542,0.9520,0.9523
0.9520,0.9531,0.9520,0.9520,0.9531,0.9520,0.9520
0.9539,0.9552,0.9539,0.9541,0.9552,0.9539,0.9541
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
471 0.9559 0.9566 0.9559 0.9560 0.9566 0.9559 0.9560
472 0.9566 0.9574 0.9566 0.9567 0.9574 0.9566 0.9567
473 0.9559 0.9571 0.9559 0.9561 0.9571 0.9559 0.9561
474 0.9513 0.9536 0.9513 0.9517 0.9536 0.9513 0.9517
475 0.9520 0.9540 0.9520 0.9523 0.9540 0.9520 0.9523
476 0.9513 0.9536 0.9513 0.9517 0.9536 0.9513 0.9517
477 0.9520 0.9542 0.9520 0.9524 0.9542 0.9520 0.9524
478 0.9513 0.9523 0.9513 0.9514 0.9523 0.9513 0.9514
479 0.9539 0.9557 0.9539 0.9542 0.9557 0.9539 0.9542
480 0.9586 0.9605 0.9586 0.9589 0.9605 0.9586 0.9589
481 0.9566 0.9584 0.9566 0.9568 0.9584 0.9566 0.9568
482 0.9526 0.9545 0.9526 0.9530 0.9545 0.9526 0.9530
483 0.9487 0.9518 0.9487 0.9493 0.9518 0.9487 0.9493
484 0.9539 0.9552 0.9539 0.9541 0.9552 0.9539 0.9541
485 0.9526 0.9539 0.9526 0.9529 0.9539 0.9526 0.9529
486 0.9553 0.9566 0.9553 0.9555 0.9566 0.9553 0.9555
487 0.9539 0.9561 0.9539 0.9543 0.9561 0.9539 0.9543
488 0.9500 0.9518 0.9500 0.9503 0.9518 0.9500 0.9503
489 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
490 0.9546 0.9558 0.9546 0.9547 0.9558 0.9546 0.9547
491 0.9513 0.9532 0.9513 0.9516 0.9532 0.9513 0.9516
492 0.9493 0.9516 0.9493 0.9497 0.9516 0.9493 0.9497
493 0.9513 0.9536 0.9513 0.9516 0.9536 0.9513 0.9516
494 0.9520 0.9533 0.9520 0.9521 0.9533 0.9520 0.9521
495 0.9533 0.9545 0.9533 0.9535 0.9545 0.9533 0.9535
496 0.9513 0.9536 0.9513 0.9517 0.9536 0.9513 0.9517
497 0.9520 0.9538 0.9520 0.9523 0.9538 0.9520 0.9523
498 0.9513 0.9523 0.9513 0.9514 0.9523 0.9513 0.9514
499 0.9533 0.9551 0.9533 0.9536 0.9551 0.9533 0.9536
500 0.9572 0.9590 0.9572 0.9576 0.9590 0.9572 0.9576
501 0.9566 0.9583 0.9566 0.9568 0.9583 0.9566 0.9568
502 0.9533 0.9551 0.9533 0.9536 0.9551 0.9533 0.9536
503 0.9500 0.9529 0.9500 0.9506 0.9529 0.9500 0.9506
504 0.9553 0.9565 0.9553 0.9554 0.9565 0.9553 0.9554
505 0.9520 0.9534 0.9520 0.9522 0.9534 0.9520 0.9522
506 0.9546 0.9562 0.9546 0.9549 0.9562 0.9546 0.9549
507 0.9526 0.9547 0.9526 0.9530 0.9547 0.9526 0.9530
508 0.9507 0.9524 0.9507 0.9509 0.9524 0.9507 0.9509
509 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
510 0.9546 0.9558 0.9546 0.9547 0.9558 0.9546 0.9547
511 0.9520 0.9539 0.9520 0.9522 0.9539 0.9520 0.9522
512 0.9493 0.9515 0.9493 0.9496 0.9515 0.9493 0.9496
513 0.9520 0.9542 0.9520 0.9523 0.9542 0.9520 0.9523
514 0.9520 0.9531 0.9520 0.9520 0.9531 0.9520 0.9520
515 0.9539 0.9552 0.9539 0.9541 0.9552 0.9539 0.9541

145
reports/WeightFiltration/ResNet/time_metrics.txt
View File

@@ -439,3 +439,148 @@ execution_time_sec
0.000431
0.000414
0.000410
86.130236
0.001228
0.001707
0.000427
0.000437
0.000431
0.000433
0.000433
0.000436
0.000414
0.000429
0.000409
0.000436
0.000419
0.000398
0.000426
0.000420
0.000440
0.000432
0.000425
86.256719
0.000429
0.000429
0.000423
0.000428
0.000441
0.000430
0.000443
0.000432
0.000425
0.000428
0.000437
0.000426
0.000431
0.000434
0.000437
0.000433
0.000428
0.000436
0.000429
86.242122
0.000446
0.000442
0.000446
0.000431
0.000430
0.000431
0.000444
0.000431
0.000418
0.000439
0.000430
0.000433
0.000427
0.000447
0.000459
0.000430
0.000438
0.000432
0.000429
86.253278
0.000443
0.000427
0.000430
0.000429
0.000428
0.000433
0.000423
0.000392
0.000584
0.000434
0.000436
0.000448
0.000414
0.000440
0.000443
0.000407
0.000421
0.000450
0.000441
86.270061
0.000442
0.000438
0.000447
0.000433
0.000440
0.000420
0.000448
0.000442
0.000445
0.000430
0.000430
0.000448
0.000437
0.000428
0.000443
0.000435
0.000436
0.000447
0.000432
86.250279
0.000457
0.000437
86.448833
0.000407
115.254519
0.000438
0.000429
0.000419
0.000422
0.000422
0.000450
0.000433
0.000441
0.000426
0.000428
0.000427
0.000394
0.000418
0.000428
0.000423
0.000426
0.000405
0.000409
0.000415
114.917270
0.000438
0.000420
0.000418
0.000425
0.000432
0.000419
0.000435
0.000381
0.000445
0.000441
0.000428
0.000426
0.000428
0.000428
0.000445
0.000425
0.000423
0.000430
0.000422

104
reports/WeightFiltration/values.csv Normal file
View File

@@ -0,0 +1,104 @@
target_class, parameter_mia_accuracy, lookalike_accuracy, A-Dist, JS-Dist
0,0.500000,0.477083, 0.093750, 0.531205
1,0.500000,0.256250, 0.145833, 0.533884
2,0.500000,0.335417, 0.177083, 0.563689
3,0.500000,0.243750, 0.010417, 0.563501
4,0.500000,0.189583, 0.031250, 0.568311
5,0.500000,0.218750, 0.114583, 0.554095
6,0.500000,0.327083, 0.072917, 0.528096
7,0.500000,0.437500, 0.312500, 0.608898
8,0.500000,0.287500, 0.229167, 0.537923
9,0.500000,0.335417, 0.010417, 0.531386
10,0.500000,0.127083, 0.177083, 0.488956
11,0.500000,0.395833, 0.000000, 0.556688
12,0.500000,0.208333, 0.041667, 0.515492
13,0.500000,0.241667, 0.187500, 0.531538
14,0.500000,0.304167, 0.114583, 0.546319
15,0.500000,0.231250, 0.114583, 0.535395
16,0.500000,0.206250, 0.072917, 0.551601
17,0.500000,0.304167, 0.072917, 0.536588
18,0.500000,0.375000, 0.104167, 0.528144
19,0.500000,0.266667, 0.083333, 0.543631
0,0.500000,0.418750, 0.031250, 0.535415
1,0.500000,0.235417, 0.072917, 0.535499
2,0.500000,0.329167, 0.291667, 0.563922
3,0.500000,0.281250, 0.052083, 0.564283
4,0.500000,0.204167, 0.260417, 0.573553
5,0.500000,0.214583, 0.166667, 0.554907
6,0.500000,0.304167, 0.020833, 0.530134
7,0.500000,0.443750, 0.250000, 0.608279
8,0.500000,0.343750, 0.156250, 0.533757
9,0.500000,0.254167, 0.135417, 0.537570
10,0.500000,0.122917, 0.156250, 0.487076
11,0.500000,0.347917, 0.135417, 0.552417
12,0.500000,0.225000, 0.145833, 0.519959
13,0.500000,0.150000, 0.197917, 0.531879
14,0.500000,0.264583, 0.041667, 0.544494
15,0.500000,0.289583, 0.020833, 0.538959
16,0.500000,0.266667, 0.031250, 0.554854
17,0.500000,0.297917, 0.072917, 0.534680
18,0.500000,0.327083, 0.156250, 0.528503
19,0.500000,0.264583, 0.125000, 0.553348
0,0.500000,0.468750, 0.041667, 0.540679
1,0.500000,0.229167, 0.114583, 0.531994
2,0.500000,0.320833, 0.125000, 0.561862
3,0.500000,0.320833, 0.156250, 0.567223
4,0.500000,0.160417, 0.302083, 0.570708
5,0.500000,0.218750, 0.166667, 0.558651
6,0.500000,0.270833, 0.010417, 0.526351
7,0.500000,0.393750, 0.270833, 0.605921
8,0.500000,0.308333, 0.083333, 0.534300
9,0.500000,0.389583, 0.010417, 0.534346
10,0.500000,0.170833, 0.291667, 0.490581
11,0.500000,0.372917, 0.010417, 0.553222
12,0.500000,0.181250, 0.145833, 0.521985
13,0.500000,0.135417, 0.010417, 0.531411
14,0.500000,0.310417, 0.041667, 0.549431
15,0.500000,0.252083, 0.072917, 0.537570
16,0.500000,0.237500, 0.000000, 0.550631
17,0.500000,0.241667, 0.000000, 0.532652
18,0.500000,0.335417, 0.114583, 0.530719
19,0.500000,0.245833, 0.041667, 0.554328
0,0.500000,0.443750, 0.072917, 0.538273
1,0.500000,0.287500, 0.062500, 0.532444
2,0.500000,0.400000, 0.250000, 0.565593
3,0.500000,0.325000, 0.104167, 0.561017
4,0.500000,0.252083, 0.125000, 0.574365
5,0.500000,0.212500, 0.062500, 0.557207
6,0.500000,0.377083, 0.041667, 0.532109
7,0.500000,0.381250, 0.312500, 0.608354
8,0.500000,0.300000, 0.125000, 0.530272
9,0.500000,0.304167, 0.052083, 0.535231
10,0.500000,0.152083, 0.166667, 0.486937
11,0.500000,0.389583, 0.020833, 0.554443
12,0.500000,0.237500, 0.010417, 0.515566
13,0.500000,0.139583, 0.239583, 0.532841
14,0.500000,0.250000, 0.114583, 0.545186
15,0.500000,0.285417, 0.041667, 0.539053
16,0.500000,0.364583, 0.052083, 0.557259
17,0.500000,0.285417, 0.062500, 0.535905
18,0.500000,0.420833, 0.291667, 0.530528
19,0.500000,0.235417, 0.041667, 0.550465
0,0.500000,0.420833, 0.020833, 0.536924
1,0.500000,0.289583, 0.114583, 0.535009
2,0.500000,0.364583, 0.208333, 0.561020
3,0.500000,0.312500, 0.000000, 0.563347
4,0.500000,0.241667, 0.135417, 0.568564
5,0.500000,0.227083, 0.229167, 0.554962
6,0.500000,0.329167, 0.072917, 0.528871
7,0.500000,0.404167, 0.177083, 0.608461
8,0.500000,0.312500, 0.114583, 0.533693
9,0.500000,0.300000, 0.052083, 0.534936
10,0.500000,0.143750, 0.031250, 0.488405
11,0.500000,0.350000, 0.052083, 0.552083
12,0.500000,0.239583, 0.062500, 0.518281
13,0.500000,0.133333, 0.135417, 0.536575
14,0.500000,0.254167, 0.052083, 0.547499
15,0.500000,0.222917, 0.145833, 0.538462
16,0.500000,0.270833, 0.052083, 0.553830
17,0.500000,0.277083, 0.052083, 0.533158
18,0.500000,0.427083, 0.239583, 0.525671
19,0.500000,0.279167, 0.020833, 0.546591
0,0.500000,0.441667, 0.072917, 0.536959
1,0.500000,0.204167, 0.000000, 0.535119
2,0.500000,0.302083, 0.041667, 0.562120
1 target_class parameter_mia_accuracy lookalike_accuracy A-Dist JS-Dist
2 0 0.500000 0.477083 0.093750 0.531205
3 1 0.500000 0.256250 0.145833 0.533884
4 2 0.500000 0.335417 0.177083 0.563689
5 3 0.500000 0.243750 0.010417 0.563501
6 4 0.500000 0.189583 0.031250 0.568311
7 5 0.500000 0.218750 0.114583 0.554095
8 6 0.500000 0.327083 0.072917 0.528096
9 7 0.500000 0.437500 0.312500 0.608898
10 8 0.500000 0.287500 0.229167 0.537923
11 9 0.500000 0.335417 0.010417 0.531386
12 10 0.500000 0.127083 0.177083 0.488956
13 11 0.500000 0.395833 0.000000 0.556688
14 12 0.500000 0.208333 0.041667 0.515492
15 13 0.500000 0.241667 0.187500 0.531538
16 14 0.500000 0.304167 0.114583 0.546319
17 15 0.500000 0.231250 0.114583 0.535395
18 16 0.500000 0.206250 0.072917 0.551601
19 17 0.500000 0.304167 0.072917 0.536588
20 18 0.500000 0.375000 0.104167 0.528144
21 19 0.500000 0.266667 0.083333 0.543631
22 0 0.500000 0.418750 0.031250 0.535415
23 1 0.500000 0.235417 0.072917 0.535499
24 2 0.500000 0.329167 0.291667 0.563922
25 3 0.500000 0.281250 0.052083 0.564283
26 4 0.500000 0.204167 0.260417 0.573553
27 5 0.500000 0.214583 0.166667 0.554907
28 6 0.500000 0.304167 0.020833 0.530134
29 7 0.500000 0.443750 0.250000 0.608279
30 8 0.500000 0.343750 0.156250 0.533757
31 9 0.500000 0.254167 0.135417 0.537570
32 10 0.500000 0.122917 0.156250 0.487076
33 11 0.500000 0.347917 0.135417 0.552417
34 12 0.500000 0.225000 0.145833 0.519959
35 13 0.500000 0.150000 0.197917 0.531879
36 14 0.500000 0.264583 0.041667 0.544494
37 15 0.500000 0.289583 0.020833 0.538959
38 16 0.500000 0.266667 0.031250 0.554854
39 17 0.500000 0.297917 0.072917 0.534680
40 18 0.500000 0.327083 0.156250 0.528503
41 19 0.500000 0.264583 0.125000 0.553348
42 0 0.500000 0.468750 0.041667 0.540679
43 1 0.500000 0.229167 0.114583 0.531994
44 2 0.500000 0.320833 0.125000 0.561862
45 3 0.500000 0.320833 0.156250 0.567223
46 4 0.500000 0.160417 0.302083 0.570708
47 5 0.500000 0.218750 0.166667 0.558651
48 6 0.500000 0.270833 0.010417 0.526351
49 7 0.500000 0.393750 0.270833 0.605921
50 8 0.500000 0.308333 0.083333 0.534300
51 9 0.500000 0.389583 0.010417 0.534346
52 10 0.500000 0.170833 0.291667 0.490581
53 11 0.500000 0.372917 0.010417 0.553222
54 12 0.500000 0.181250 0.145833 0.521985
55 13 0.500000 0.135417 0.010417 0.531411
56 14 0.500000 0.310417 0.041667 0.549431
57 15 0.500000 0.252083 0.072917 0.537570
58 16 0.500000 0.237500 0.000000 0.550631
59 17 0.500000 0.241667 0.000000 0.532652
60 18 0.500000 0.335417 0.114583 0.530719
61 19 0.500000 0.245833 0.041667 0.554328
62 0 0.500000 0.443750 0.072917 0.538273
63 1 0.500000 0.287500 0.062500 0.532444
64 2 0.500000 0.400000 0.250000 0.565593
65 3 0.500000 0.325000 0.104167 0.561017
66 4 0.500000 0.252083 0.125000 0.574365
67 5 0.500000 0.212500 0.062500 0.557207
68 6 0.500000 0.377083 0.041667 0.532109
69 7 0.500000 0.381250 0.312500 0.608354
70 8 0.500000 0.300000 0.125000 0.530272
71 9 0.500000 0.304167 0.052083 0.535231
72 10 0.500000 0.152083 0.166667 0.486937
73 11 0.500000 0.389583 0.020833 0.554443
74 12 0.500000 0.237500 0.010417 0.515566
75 13 0.500000 0.139583 0.239583 0.532841
76 14 0.500000 0.250000 0.114583 0.545186
77 15 0.500000 0.285417 0.041667 0.539053
78 16 0.500000 0.364583 0.052083 0.557259
79 17 0.500000 0.285417 0.062500 0.535905
80 18 0.500000 0.420833 0.291667 0.530528
81 19 0.500000 0.235417 0.041667 0.550465
82 0 0.500000 0.420833 0.020833 0.536924
83 1 0.500000 0.289583 0.114583 0.535009
84 2 0.500000 0.364583 0.208333 0.561020
85 3 0.500000 0.312500 0.000000 0.563347
86 4 0.500000 0.241667 0.135417 0.568564
87 5 0.500000 0.227083 0.229167 0.554962
88 6 0.500000 0.329167 0.072917 0.528871
89 7 0.500000 0.404167 0.177083 0.608461
90 8 0.500000 0.312500 0.114583 0.533693
91 9 0.500000 0.300000 0.052083 0.534936
92 10 0.500000 0.143750 0.031250 0.488405
93 11 0.500000 0.350000 0.052083 0.552083
94 12 0.500000 0.239583 0.062500 0.518281
95 13 0.500000 0.133333 0.135417 0.536575
96 14 0.500000 0.254167 0.052083 0.547499
97 15 0.500000 0.222917 0.145833 0.538462
98 16 0.500000 0.270833 0.052083 0.553830
99 17 0.500000 0.277083 0.052083 0.533158
100 18 0.500000 0.427083 0.239583 0.525671
101 19 0.500000 0.279167 0.020833 0.546591
102 0 0.500000 0.441667 0.072917 0.536959
103 1 0.500000 0.204167 0.000000 0.535119
104 2 0.500000 0.302083 0.041667 0.562120