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2026-07-08 00:25:07 +02:00
parent 026ca47800
commit eb8060fc05
37 changed files with 1649 additions and 66 deletions
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37
reports/WeightFiltration/RESNET34/forget.csv
View File

@@ -490,3 +490,40 @@ 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
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
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
0.1250,1.0000,0.1250,0.2222,1.0000,0.1250,0.2222
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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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
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 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
497 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
501 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
502 0.1250 1.0000 0.1250 0.2222 1.0000 0.1250 0.2222
503 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
504 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
515 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
516 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
517 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
518 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
519 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
520 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
521 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
522 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
523 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
524 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
525 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
526 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
527 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
528 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
529 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

37
reports/WeightFiltration/RESNET34/forget_train.csv
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@@ -490,3 +490,40 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
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
0.0063,1.0000,0.0063,0.0124,1.0000,0.0063,0.0124
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
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
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1031,1.0000,0.1031,0.1870,1.0000,0.1031,0.1870
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0187,1.0000,0.0187,0.0368,1.0000,0.0187,0.0368
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
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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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
490 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
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 0.0063 1.0000 0.0063 0.0124 1.0000 0.0063 0.0124
495 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
496 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
497 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
501 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
502 0.1031 1.0000 0.1031 0.1870 1.0000 0.1031 0.1870
503 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
504 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
515 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
516 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
517 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
518 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
519 0.0187 1.0000 0.0187 0.0368 1.0000 0.0187 0.0368
520 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
521 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
522 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
523 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
524 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
525 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
526 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
527 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
528 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
529 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

37
reports/WeightFiltration/RESNET34/retain.csv
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@@ -490,3 +490,40 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9559,0.9572,0.9559,0.9560,0.9572,0.9559,0.9560
0.9546,0.9556,0.9546,0.9547,0.9556,0.9546,0.9547
0.9592,0.9606,0.9592,0.9594,0.9606,0.9592,0.9594
0.9526,0.9540,0.9526,0.9528,0.9540,0.9526,0.9528
0.9572,0.9581,0.9572,0.9573,0.9581,0.9572,0.9573
0.9546,0.9556,0.9546,0.9546,0.9556,0.9546,0.9546
0.9526,0.9537,0.9526,0.9527,0.9537,0.9526,0.9527
0.9539,0.9545,0.9539,0.9540,0.9545,0.9539,0.9540
0.9566,0.9574,0.9566,0.9566,0.9574,0.9566,0.9566
0.9533,0.9542,0.9533,0.9534,0.9542,0.9533,0.9534
0.9539,0.9554,0.9539,0.9541,0.9554,0.9539,0.9541
0.9533,0.9544,0.9533,0.9534,0.9544,0.9533,0.9534
0.9533,0.9541,0.9533,0.9534,0.9541,0.9533,0.9534
0.9520,0.9530,0.9520,0.9521,0.9530,0.9520,0.9521
0.9513,0.9525,0.9513,0.9514,0.9525,0.9513,0.9514
0.9493,0.9509,0.9493,0.9496,0.9509,0.9493,0.9496
0.9487,0.9500,0.9487,0.9487,0.9500,0.9487,0.9487
0.9559,0.9575,0.9559,0.9561,0.9575,0.9559,0.9561
0.9520,0.9531,0.9520,0.9521,0.9531,0.9520,0.9521
0.9526,0.9536,0.9526,0.9527,0.9536,0.9526,0.9527
0.9539,0.9557,0.9539,0.9541,0.9557,0.9539,0.9541
0.9553,0.9559,0.9553,0.9552,0.9559,0.9553,0.9552
0.9520,0.9530,0.9520,0.9520,0.9530,0.9520,0.9520
0.9526,0.9541,0.9526,0.9528,0.9541,0.9526,0.9528
0.9566,0.9575,0.9566,0.9566,0.9575,0.9566,0.9566
0.9526,0.9541,0.9526,0.9528,0.9541,0.9526,0.9528
0.9526,0.9541,0.9526,0.9528,0.9541,0.9526,0.9528
0.9559,0.9569,0.9559,0.9560,0.9569,0.9559,0.9560
0.9546,0.9555,0.9546,0.9546,0.9555,0.9546,0.9546
0.9520,0.9530,0.9520,0.9521,0.9530,0.9520,0.9521
0.9539,0.9545,0.9539,0.9540,0.9545,0.9539,0.9540
0.9566,0.9574,0.9566,0.9566,0.9574,0.9566,0.9566
0.9526,0.9541,0.9526,0.9528,0.9541,0.9526,0.9528
0.9533,0.9542,0.9533,0.9534,0.9542,0.9533,0.9534
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9566,0.9575,0.9566,0.9566,0.9575,0.9566,0.9566
0.9526,0.9540,0.9526,0.9528,0.9540,0.9526,0.9528
0.9546,0.9558,0.9546,0.9547,0.9558,0.9546,0.9547
0.9526,0.9540,0.9526,0.9528,0.9540,0.9526,0.9528
0.9526,0.9540,0.9526,0.9528,0.9540,0.9526,0.9528
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
490 0.9559 0.9572 0.9559 0.9560 0.9572 0.9559 0.9560
491 0.9546 0.9556 0.9546 0.9547 0.9556 0.9546 0.9547
492 0.9592 0.9606 0.9592 0.9594 0.9606 0.9592 0.9594
493 0.9526 0.9540 0.9526 0.9528 0.9540 0.9526 0.9528
494 0.9572 0.9581 0.9572 0.9573 0.9581 0.9572 0.9573
495 0.9546 0.9556 0.9546 0.9546 0.9556 0.9546 0.9546
496 0.9526 0.9537 0.9526 0.9527 0.9537 0.9526 0.9527
497 0.9539 0.9545 0.9539 0.9540 0.9545 0.9539 0.9540
498 0.9566 0.9574 0.9566 0.9566 0.9574 0.9566 0.9566
499 0.9533 0.9542 0.9533 0.9534 0.9542 0.9533 0.9534
500 0.9539 0.9554 0.9539 0.9541 0.9554 0.9539 0.9541
501 0.9533 0.9544 0.9533 0.9534 0.9544 0.9533 0.9534
502 0.9533 0.9541 0.9533 0.9534 0.9541 0.9533 0.9534
503 0.9520 0.9530 0.9520 0.9521 0.9530 0.9520 0.9521
504 0.9513 0.9525 0.9513 0.9514 0.9525 0.9513 0.9514
505 0.9493 0.9509 0.9493 0.9496 0.9509 0.9493 0.9496
506 0.9487 0.9500 0.9487 0.9487 0.9500 0.9487 0.9487
507 0.9559 0.9575 0.9559 0.9561 0.9575 0.9559 0.9561
508 0.9520 0.9531 0.9520 0.9521 0.9531 0.9520 0.9521
509 0.9526 0.9536 0.9526 0.9527 0.9536 0.9526 0.9527
510 0.9539 0.9557 0.9539 0.9541 0.9557 0.9539 0.9541
511 0.9553 0.9559 0.9553 0.9552 0.9559 0.9553 0.9552
512 0.9520 0.9530 0.9520 0.9520 0.9530 0.9520 0.9520
513 0.9526 0.9541 0.9526 0.9528 0.9541 0.9526 0.9528
514 0.9566 0.9575 0.9566 0.9566 0.9575 0.9566 0.9566
515 0.9526 0.9541 0.9526 0.9528 0.9541 0.9526 0.9528
516 0.9526 0.9541 0.9526 0.9528 0.9541 0.9526 0.9528
517 0.9559 0.9569 0.9559 0.9560 0.9569 0.9559 0.9560
518 0.9546 0.9555 0.9546 0.9546 0.9555 0.9546 0.9546
519 0.9520 0.9530 0.9520 0.9521 0.9530 0.9520 0.9521
520 0.9539 0.9545 0.9539 0.9540 0.9545 0.9539 0.9540
521 0.9566 0.9574 0.9566 0.9566 0.9574 0.9566 0.9566
522 0.9526 0.9541 0.9526 0.9528 0.9541 0.9526 0.9528
523 0.9533 0.9542 0.9533 0.9534 0.9542 0.9533 0.9534
524 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
525 0.9566 0.9575 0.9566 0.9566 0.9575 0.9566 0.9566
526 0.9526 0.9540 0.9526 0.9528 0.9540 0.9526 0.9528
527 0.9546 0.9558 0.9546 0.9547 0.9558 0.9546 0.9547
528 0.9526 0.9540 0.9526 0.9528 0.9540 0.9526 0.9528
529 0.9526 0.9540 0.9526 0.9528 0.9540 0.9526 0.9528