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Tinsae
2026-07-05 09:21:40 +02:00
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reports/CertifiedUnlearning/RESNET34/retain.csv
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@@ -297,3 +297,13 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.5658,0.8289,0.5658,0.5697,0.8289,0.5658,0.5697
0.9099,0.9273,0.9099,0.9123,0.9273,0.9099,0.9123
0.4000,0.8547,0.4000,0.4331,0.8547,0.4000,0.4331
0.9118,0.9278,0.9118,0.9143,0.9278,0.9118,0.9143
0.8855,0.9100,0.8855,0.8881,0.9100,0.8855,0.8881
0.0526,0.0028,0.0526,0.0053,0.0028,0.0526,0.0053
0.8776,0.9068,0.8776,0.8818,0.9068,0.8776,0.8818
0.8967,0.9304,0.8967,0.9056,0.9304,0.8967,0.9056
0.7980,0.8756,0.7980,0.8078,0.8756,0.7980,0.8078
0.8789,0.9042,0.8789,0.8822,0.9042,0.8789,0.8822
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
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
297 0.5658 0.8289 0.5658 0.5697 0.8289 0.5658 0.5697
298 0.9099 0.9273 0.9099 0.9123 0.9273 0.9099 0.9123
299 0.4000 0.8547 0.4000 0.4331 0.8547 0.4000 0.4331
300 0.9118 0.9278 0.9118 0.9143 0.9278 0.9118 0.9143
301 0.8855 0.9100 0.8855 0.8881 0.9100 0.8855 0.8881
302 0.0526 0.0028 0.0526 0.0053 0.0028 0.0526 0.0053
303 0.8776 0.9068 0.8776 0.8818 0.9068 0.8776 0.8818
304 0.8967 0.9304 0.8967 0.9056 0.9304 0.8967 0.9056
305 0.7980 0.8756 0.7980 0.8078 0.8756 0.7980 0.8078
306 0.8789 0.9042 0.8789 0.8822 0.9042 0.8789 0.8822
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