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Tinsae
2026-07-05 14:22:22 +02:00
parent f81fcab3b9
commit 026ca47800
5 changed files with 90 additions and 37 deletions
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22
reports/CertifiedUnlearning/RESNET34/forget.csv
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@@ -322,3 +322,25 @@ 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
0.0250,1.0000,0.0250,0.0488,1.0000,0.0250,0.0488
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.4750,1.0000,0.4750,0.6441,1.0000,0.4750,0.6441
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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
0.0250,1.0000,0.0250,0.0488,1.0000,0.0250,0.0488
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.4250,1.0000,0.4250,0.5965,1.0000,0.4250,0.5965
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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
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
325 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
326 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
327 0.0250 1.0000 0.0250 0.0488 1.0000 0.0250 0.0488
328 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
329 0.4750 1.0000 0.4750 0.6441 1.0000 0.4750 0.6441
330 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
331 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
332 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
333 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
334 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
335 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
336 0.0625 1.0000 0.0625 0.1176 1.0000 0.0625 0.1176
337 0.0250 1.0000 0.0250 0.0488 1.0000 0.0250 0.0488
338 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
339 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
340 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
341 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
342 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
343 0.4250 1.0000 0.4250 0.5965 1.0000 0.4250 0.5965
344 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
345 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
346 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

22
reports/CertifiedUnlearning/RESNET34/forget_train.csv
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@@ -322,3 +322,25 @@ 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
0.0281,1.0000,0.0281,0.0547,1.0000,0.0281,0.0547
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.6562,1.0000,0.6562,0.7925,1.0000,0.6562,0.7925
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0563,1.0000,0.0563,0.1065,1.0000,0.0563,0.1065
0.0406,1.0000,0.0406,0.0781,1.0000,0.0406,0.0781
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.5344,1.0000,0.5344,0.6965,1.0000,0.5344,0.6965
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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
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
325 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
326 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
327 0.0281 1.0000 0.0281 0.0547 1.0000 0.0281 0.0547
328 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
329 0.6562 1.0000 0.6562 0.7925 1.0000 0.6562 0.7925
330 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
331 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
332 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
333 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
334 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
335 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
336 0.0563 1.0000 0.0563 0.1065 1.0000 0.0563 0.1065
337 0.0406 1.0000 0.0406 0.0781 1.0000 0.0406 0.0781
338 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
339 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
340 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
341 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
342 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
343 0.5344 1.0000 0.5344 0.6965 1.0000 0.5344 0.6965
344 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
345 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
346 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

22
reports/CertifiedUnlearning/RESNET34/retain.csv
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@@ -322,3 +322,25 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
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
0.9276,0.9394,0.9276,0.9297,0.9394,0.9276,0.9297
0.4822,0.7453,0.4822,0.4555,0.7453,0.4822,0.4555
0.9434,0.9481,0.9434,0.9440,0.9481,0.9434,0.9440
0.8243,0.9041,0.8243,0.8413,0.9041,0.8243,0.8413
0.9572,0.9586,0.9572,0.9571,0.9586,0.9572,0.9571
0.1039,0.3140,0.1039,0.0849,0.3140,0.1039,0.0849
0.4145,0.8569,0.4145,0.4365,0.8569,0.4145,0.4365
0.8270,0.9302,0.8270,0.8580,0.9302,0.8270,0.8580
0.8401,0.8765,0.8401,0.8440,0.8765,0.8401,0.8440
0.9375,0.9423,0.9375,0.9380,0.9423,0.9375,0.9380
0.9382,0.9426,0.9382,0.9384,0.9426,0.9382,0.9384
0.9230,0.9305,0.9230,0.9216,0.9305,0.9230,0.9216
0.9349,0.9383,0.9349,0.9351,0.9383,0.9349,0.9351
0.8283,0.8855,0.8283,0.8375,0.8855,0.8283,0.8375
0.9125,0.9209,0.9125,0.9122,0.9209,0.9125,0.9122
0.8888,0.9106,0.8888,0.8908,0.9106,0.8888,0.8908
0.8776,0.9226,0.8776,0.8875,0.9226,0.8776,0.8875
0.8947,0.9188,0.8947,0.8985,0.9188,0.8947,0.8985
0.9513,0.9526,0.9513,0.9514,0.9526,0.9513,0.9514
0.6434,0.8358,0.6434,0.6622,0.8358,0.6434,0.6622
0.7303,0.8317,0.7303,0.7303,0.8317,0.7303,0.7303
0.2895,0.4174,0.2895,0.2206,0.4174,0.2895,0.2206
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
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
325 0.9276 0.9394 0.9276 0.9297 0.9394 0.9276 0.9297
326 0.4822 0.7453 0.4822 0.4555 0.7453 0.4822 0.4555
327 0.9434 0.9481 0.9434 0.9440 0.9481 0.9434 0.9440
328 0.8243 0.9041 0.8243 0.8413 0.9041 0.8243 0.8413
329 0.9572 0.9586 0.9572 0.9571 0.9586 0.9572 0.9571
330 0.1039 0.3140 0.1039 0.0849 0.3140 0.1039 0.0849
331 0.4145 0.8569 0.4145 0.4365 0.8569 0.4145 0.4365
332 0.8270 0.9302 0.8270 0.8580 0.9302 0.8270 0.8580
333 0.8401 0.8765 0.8401 0.8440 0.8765 0.8401 0.8440
334 0.9375 0.9423 0.9375 0.9380 0.9423 0.9375 0.9380
335 0.9382 0.9426 0.9382 0.9384 0.9426 0.9382 0.9384
336 0.9230 0.9305 0.9230 0.9216 0.9305 0.9230 0.9216
337 0.9349 0.9383 0.9349 0.9351 0.9383 0.9349 0.9351
338 0.8283 0.8855 0.8283 0.8375 0.8855 0.8283 0.8375
339 0.9125 0.9209 0.9125 0.9122 0.9209 0.9125 0.9122
340 0.8888 0.9106 0.8888 0.8908 0.9106 0.8888 0.8908
341 0.8776 0.9226 0.8776 0.8875 0.9226 0.8776 0.8875
342 0.8947 0.9188 0.8947 0.8985 0.9188 0.8947 0.8985
343 0.9513 0.9526 0.9513 0.9514 0.9526 0.9513 0.9514
344 0.6434 0.8358 0.6434 0.6622 0.8358 0.6434 0.6622
345 0.7303 0.8317 0.7303 0.7303 0.8317 0.7303 0.7303
346 0.2895 0.4174 0.2895 0.2206 0.4174 0.2895 0.2206