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certified unlearning data 340 ish

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Tinsae
2026-07-05 11:07:39 +02:00
parent ca7c595c60
commit f81fcab3b9
4 changed files with 60 additions and 0 deletions
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15
reports/CertifiedUnlearning/RESNET34/forget.csv
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@@ -307,3 +307,18 @@ 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
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.4625,1.0000,0.4625,0.6325,1.0000,0.4625,0.6325
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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
0.2375,1.0000,0.2375,0.3838,1.0000,0.2375,0.3838
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
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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
307 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
308 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
309 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
310 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
311 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
312 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
313 0.4625 1.0000 0.4625 0.6325 1.0000 0.4625 0.6325
314 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
315 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
316 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
317 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
318 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
319 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
320 0.2375 1.0000 0.2375 0.3838 1.0000 0.2375 0.3838
321 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
322 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
323 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
324 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

15
reports/CertifiedUnlearning/RESNET34/forget_train.csv
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@@ -307,3 +307,18 @@ 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
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
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
0.5750,1.0000,0.5750,0.7302,1.0000,0.5750,0.7302
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0219,1.0000,0.0219,0.0428,1.0000,0.0219,0.0428
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.4625,1.0000,0.4625,0.6325,1.0000,0.4625,0.6325
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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
307 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
308 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
309 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
310 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
311 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
312 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
313 0.5750 1.0000 0.5750 0.7302 1.0000 0.5750 0.7302
314 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
315 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
316 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
317 0.0219 1.0000 0.0219 0.0428 1.0000 0.0219 0.0428
318 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
319 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
320 0.4625 1.0000 0.4625 0.6325 1.0000 0.4625 0.6325
321 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
322 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
323 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
324 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

15
reports/CertifiedUnlearning/RESNET34/retain.csv
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@@ -307,3 +307,18 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.4447,0.7262,0.4447,0.3814,0.7262,0.4447,0.3814
0.8980,0.9171,0.8980,0.8995,0.9171,0.8980,0.8995
0.6217,0.8081,0.6217,0.6290,0.8081,0.6217,0.6290
0.9382,0.9408,0.9382,0.9382,0.9408,0.9382,0.9382
0.5368,0.8337,0.5368,0.5427,0.8337,0.5368,0.5427
0.3658,0.8713,0.3658,0.4213,0.8713,0.3658,0.4213
0.9395,0.9430,0.9395,0.9398,0.9430,0.9395,0.9398
0.8618,0.9065,0.8618,0.8689,0.9065,0.8618,0.8689
0.8072,0.8615,0.8072,0.8072,0.8615,0.8072,0.8072
0.0579,0.1695,0.0579,0.0154,0.1695,0.0579,0.0154
0.9428,0.9452,0.9428,0.9429,0.9452,0.9428,0.9429
0.9289,0.9358,0.9289,0.9297,0.9358,0.9289,0.9297
0.8855,0.9130,0.8855,0.8892,0.9130,0.8855,0.8892
0.9487,0.9519,0.9487,0.9493,0.9519,0.9487,0.9493
0.9066,0.9347,0.9066,0.9140,0.9347,0.9066,0.9140
0.4197,0.8763,0.4197,0.4452,0.8763,0.4197,0.4452
0.5237,0.8114,0.5237,0.5252,0.8114,0.5237,0.5252
0.0717,0.3186,0.0717,0.0403,0.3186,0.0717,0.0403
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
307 0.4447 0.7262 0.4447 0.3814 0.7262 0.4447 0.3814
308 0.8980 0.9171 0.8980 0.8995 0.9171 0.8980 0.8995
309 0.6217 0.8081 0.6217 0.6290 0.8081 0.6217 0.6290
310 0.9382 0.9408 0.9382 0.9382 0.9408 0.9382 0.9382
311 0.5368 0.8337 0.5368 0.5427 0.8337 0.5368 0.5427
312 0.3658 0.8713 0.3658 0.4213 0.8713 0.3658 0.4213
313 0.9395 0.9430 0.9395 0.9398 0.9430 0.9395 0.9398
314 0.8618 0.9065 0.8618 0.8689 0.9065 0.8618 0.8689
315 0.8072 0.8615 0.8072 0.8072 0.8615 0.8072 0.8072
316 0.0579 0.1695 0.0579 0.0154 0.1695 0.0579 0.0154
317 0.9428 0.9452 0.9428 0.9429 0.9452 0.9428 0.9429
318 0.9289 0.9358 0.9289 0.9297 0.9358 0.9289 0.9297
319 0.8855 0.9130 0.8855 0.8892 0.9130 0.8855 0.8892
320 0.9487 0.9519 0.9487 0.9493 0.9519 0.9487 0.9493
321 0.9066 0.9347 0.9066 0.9140 0.9347 0.9066 0.9140
322 0.4197 0.8763 0.4197 0.4452 0.8763 0.4197 0.4452
323 0.5237 0.8114 0.5237 0.5252 0.8114 0.5237 0.5252
324 0.0717 0.3186 0.0717 0.0403 0.3186 0.0717 0.0403