unlearning LF
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21
reports/resnet50-retain.csv
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21
reports/resnet50-retain.csv
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accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recall,weighted_f1,
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0.9474,0.9605,0.9474,0.9459,0.9605,0.9474,0.9459
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0.9123,0.9395,0.9123,0.9064,0.9395,0.9123,0.9064
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0.9298,0.9526,0.9298,0.9244,0.9526,0.9298,0.9244
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0.8596,0.9000,0.8596,0.8553,0.9000,0.8596,0.8553
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0.9123,0.9298,0.9123,0.9103,0.9298,0.9123,0.9103
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0.9123,0.9342,0.9123,0.9045,0.9342,0.9123,0.9045
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0.9649,0.9737,0.9649,0.9639,0.9737,0.9649,0.9639
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0.8947,0.9272,0.8947,0.8960,0.9272,0.8947,0.8960
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1.0000,1.0000,1.0000,1.0000,1.0000,1.0000,1.0000
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0.9649,0.9737,0.9649,0.9639,0.9737,0.9649,0.9639
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0.8772,0.9132,0.8772,0.8650,0.9132,0.8772,0.8650
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0.9123,0.9342,0.9123,0.9045,0.9342,0.9123,0.9045
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0.9123,0.9342,0.9123,0.9045,0.9342,0.9123,0.9045
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0.9298,0.9605,0.9298,0.9328,0.9605,0.9298,0.9328
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0.9649,0.9737,0.9649,0.9639,0.9737,0.9649,0.9639
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0.9298,0.9430,0.9298,0.9283,0.9430,0.9298,0.9283
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0.9298,0.9474,0.9298,0.9278,0.9474,0.9298,0.9278
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0.9649,0.9737,0.9649,0.9639,0.9737,0.9649,0.9639
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0.9298,0.9474,0.9298,0.9278,0.9474,0.9298,0.9278
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0.8947,0.9316,0.8947,0.8902,0.9316,0.8947,0.8902
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