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cleaned up code

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Tinsae
2026-07-08 23:53:07 +02:00
parent 31f461342e
commit 04875a62e9
23 changed files with 1362 additions and 715 deletions
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62
reports/Retrain/RESNET34/forget.csv
View File

@@ -80,3 +80,65 @@ 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
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105 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
106 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
107 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
108 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
109 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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112 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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138 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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62
reports/Retrain/RESNET34/forget_train.csv
View File

@@ -80,3 +80,65 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
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1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
80 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
81 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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100 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
101 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
102 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
103 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
104 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
105 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
106 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
107 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
108 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
109 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
110 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
111 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
112 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
113 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
114 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
115 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
116 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
117 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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136 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
137 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
138 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
139 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
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144 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

62
reports/Retrain/RESNET34/retain.csv
View File

@@ -80,3 +80,65 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9546,0.9554,0.9546,0.9546,0.9554,0.9546,0.9546
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0.9539,0.9551,0.9539,0.9540,0.9551,0.9539,0.9540
0.9625,0.9638,0.9625,0.9626,0.9638,0.9625,0.9626
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0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
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0.9507,0.9518,0.9507,0.9507,0.9518,0.9507,0.9507
0.9612,0.9622,0.9612,0.9612,0.9622,0.9612,0.9612
0.9553,0.9561,0.9553,0.9552,0.9561,0.9553,0.9552
0.9618,0.9626,0.9618,0.9618,0.9626,0.9618,0.9618
0.9566,0.9586,0.9566,0.9569,0.9586,0.9566,0.9569
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9539,0.9548,0.9539,0.9541,0.9548,0.9539,0.9541
0.9500,0.9511,0.9500,0.9500,0.9511,0.9500,0.9500
0.9566,0.9572,0.9566,0.9565,0.9572,0.9566,0.9565
0.9546,0.9554,0.9546,0.9546,0.9554,0.9546,0.9546
0.9612,0.9620,0.9612,0.9613,0.9620,0.9612,0.9613
0.9539,0.9551,0.9539,0.9540,0.9551,0.9539,0.9540
0.9625,0.9638,0.9625,0.9626,0.9638,0.9625,0.9626
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9520,0.9532,0.9520,0.9521,0.9532,0.9520,0.9521
0.9579,0.9586,0.9579,0.9580,0.9586,0.9579,0.9580
0.9566,0.9572,0.9566,0.9566,0.9572,0.9566,0.9566
0.9533,0.9544,0.9533,0.9535,0.9544,0.9533,0.9535
0.9559,0.9570,0.9559,0.9561,0.9570,0.9559,0.9561
0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
0.9507,0.9518,0.9507,0.9507,0.9518,0.9507,0.9507
0.9612,0.9622,0.9612,0.9612,0.9622,0.9612,0.9612
0.9553,0.9561,0.9553,0.9552,0.9561,0.9553,0.9552
0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
0.9507,0.9518,0.9507,0.9507,0.9518,0.9507,0.9507
0.9612,0.9622,0.9612,0.9612,0.9622,0.9612,0.9612
0.9553,0.9561,0.9553,0.9552,0.9561,0.9553,0.9552
0.9559,0.9571,0.9559,0.9560,0.9571,0.9559,0.9560
0.9507,0.9518,0.9507,0.9507,0.9518,0.9507,0.9507
0.9612,0.9622,0.9612,0.9612,0.9622,0.9612,0.9612
0.9553,0.9561,0.9553,0.9552,0.9561,0.9553,0.9552
0.9618,0.9626,0.9618,0.9618,0.9626,0.9618,0.9618
0.9566,0.9586,0.9566,0.9569,0.9586,0.9566,0.9569
0.9533,0.9548,0.9533,0.9535,0.9548,0.9533,0.9535
0.9539,0.9548,0.9539,0.9541,0.9548,0.9539,0.9541
0.9500,0.9511,0.9500,0.9500,0.9511,0.9500,0.9500
0.9566,0.9572,0.9566,0.9565,0.9572,0.9566,0.9565
0.9546,0.9554,0.9546,0.9546,0.9554,0.9546,0.9546
0.9612,0.9620,0.9612,0.9613,0.9620,0.9612,0.9613
0.9539,0.9551,0.9539,0.9540,0.9551,0.9539,0.9540
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
80 0.9546 0.9554 0.9546 0.9546 0.9554 0.9546 0.9546
81 0.9612 0.9620 0.9612 0.9613 0.9620 0.9612 0.9613
82 0.9539 0.9551 0.9539 0.9540 0.9551 0.9539 0.9540
83 0.9625 0.9638 0.9625 0.9626 0.9638 0.9625 0.9626
84 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
85 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
86 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
87 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
88 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
89 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
90 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
91 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
92 0.9553 0.9561 0.9553 0.9552 0.9561 0.9553 0.9552
93 0.9618 0.9626 0.9618 0.9618 0.9626 0.9618 0.9618
94 0.9566 0.9586 0.9566 0.9569 0.9586 0.9566 0.9569
95 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
96 0.9539 0.9548 0.9539 0.9541 0.9548 0.9539 0.9541
97 0.9500 0.9511 0.9500 0.9500 0.9511 0.9500 0.9500
98 0.9566 0.9572 0.9566 0.9565 0.9572 0.9566 0.9565
99 0.9546 0.9554 0.9546 0.9546 0.9554 0.9546 0.9546
100 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
101 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
102 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
103 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
104 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
105 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
106 0.9553 0.9561 0.9553 0.9552 0.9561 0.9553 0.9552
107 0.9618 0.9626 0.9618 0.9618 0.9626 0.9618 0.9618
108 0.9566 0.9586 0.9566 0.9569 0.9586 0.9566 0.9569
109 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
110 0.9539 0.9548 0.9539 0.9541 0.9548 0.9539 0.9541
111 0.9500 0.9511 0.9500 0.9500 0.9511 0.9500 0.9500
112 0.9566 0.9572 0.9566 0.9565 0.9572 0.9566 0.9565
113 0.9546 0.9554 0.9546 0.9546 0.9554 0.9546 0.9546
114 0.9612 0.9620 0.9612 0.9613 0.9620 0.9612 0.9613
115 0.9539 0.9551 0.9539 0.9540 0.9551 0.9539 0.9540
116 0.9625 0.9638 0.9625 0.9626 0.9638 0.9625 0.9626
117 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
118 0.9520 0.9532 0.9520 0.9521 0.9532 0.9520 0.9521
119 0.9579 0.9586 0.9579 0.9580 0.9586 0.9579 0.9580
120 0.9566 0.9572 0.9566 0.9566 0.9572 0.9566 0.9566
121 0.9533 0.9544 0.9533 0.9535 0.9544 0.9533 0.9535
122 0.9559 0.9570 0.9559 0.9561 0.9570 0.9559 0.9561
123 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
124 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
125 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
126 0.9553 0.9561 0.9553 0.9552 0.9561 0.9553 0.9552
127 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
128 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
129 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
130 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
131 0.9553 0.9561 0.9553 0.9552 0.9561 0.9553 0.9552
132 0.9559 0.9571 0.9559 0.9560 0.9571 0.9559 0.9560
133 0.9507 0.9518 0.9507 0.9507 0.9518 0.9507 0.9507
134 0.9612 0.9622 0.9612 0.9612 0.9622 0.9612 0.9612
135 0.9553 0.9561 0.9553 0.9552 0.9561 0.9553 0.9552
136 0.9618 0.9626 0.9618 0.9618 0.9626 0.9618 0.9618
137 0.9566 0.9586 0.9566 0.9569 0.9586 0.9566 0.9569
138 0.9533 0.9548 0.9533 0.9535 0.9548 0.9533 0.9535
139 0.9539 0.9548 0.9539 0.9541 0.9548 0.9539 0.9541
140 0.9500 0.9511 0.9500 0.9500 0.9511 0.9500 0.9500
141 0.9566 0.9572 0.9566 0.9565 0.9572 0.9566 0.9565
142 0.9546 0.9554 0.9546 0.9546 0.9554 0.9546 0.9546
143 0.9612 0.9620 0.9612 0.9613 0.9620 0.9612 0.9613
144 0.9539 0.9551 0.9539 0.9540 0.9551 0.9539 0.9540