50 60 70 80 90 100 110 120 130 140 150 160 170 180
    mnsit PACE 0.603 0.319 0.088 0.070 0.245 0.320 0.419 0.487 0.551 0.611 0.653 0.703 0.732 0.764
    m(245, all, k=20) 1.280 1.280 1.280 1.280 0.156 0.260 1.399 1.179 1.028 0.848 0.720 1.236 1.073 0.942
    m(400, all,k=30) 1.280 1.280 0.213 1.317 2.091 2.680 2.324 2.053 1.797 1.577 1.369 1.806 1.661 1.498
    m(245,class,k=3) 1.280 1.280 1.280 1.280 1.280 1.280 1.280 1.280 1.280 1.280 1.280 0.643 0.685 0.728
    m(245,class,k=4) 1.280 1.280 1.280 1.280 1.280 1.280 1.280 1.280 1.280 1.280 1.280 1.280 0.685 0.718
    m(245,class,k=5) 1.280 1.280 1.280 1.280 0.090 1.280 1.280 1.280 1.280 1.280 0.604 0.014 1.280 0.715
    m(245,class,k=6) 1.280 1.280 1.280 1.280 1.280 1.280 1.280 0.418 1.280 1.280 1.280 0.002 1.280 1.280
    m(400,class,k=4) 1.280 1.280 1.280 0.019 1.280 1.280 1.280 1.280 1.280 1.280 1.280 0.651 0.685 0.728

    变异模型精精度分布
    {0.9872000217437744: 119, 0.9869999885559082: 8, 0.9873999953269958: 8, 0.987500011920929: 7, 0.9868999719619751: 7, 0.9847999811172485: 6, 0.8973000049591064: 6, 0.9789999723434448: 5, 0.98580002784729: 5, 0.9876000285148621: 5, 0.8948000073432922: 5, 0.8884000182151794: 5, 0.9850999712944031: 4, 0.9822999835014343: 4, 0.983299970626831: 4, 0.9828000068664551: 4, 0.9797999858856201: 4, 0.9837999939918518: 4, 0.9843000173568726: 4, 0.8906000256538391: 3, 0.9790999889373779: 3, 0.98089998960495: 3, 0.9848999977111816: 3, 0.9851999878883362: 3, 0.9861000180244446: 3, 0.9865000247955322: 3, 0.986299991607666: 3, 0.9876999855041504: 3, 0.9865999817848206: 3, 0.9871000051498413: 3, 0.9872999787330627: 3, 0.9883000254631042: 3, 0.886900007724762: 3, 0.8873999714851379: 3, 0.9853000044822693: 3, 0.979200005531311: 3, 0.8960999846458435: 3, 0.8763999938964844: 3, 0.8514000177383423: 3, 0.8723000288009644: 3, 0.9858999848365784: 2, 0.8759999871253967: 2, 0.9833999872207642: 2, 0.9797000288963318: 2, 0.984499990940094: 2, 0.9812999963760376: 2, 0.8916000127792358: 2, 0.9824000000953674: 2, 0.9825000166893005: 2, 0.9821000099182129: 2, 0.9868000149726868: 2, 0.9866999983787537: 2, 0.8895999789237976: 2, 0.8962000012397766: 2, 0.9811000227928162: 2, 0.907800018787384: 2, 0.9818999767303467: 2, 0.8902000188827515: 2, 0.9855999946594238: 2, 0.9787999987602234: 2, 0.9817000031471252: 2, 0.9850000143051147: 2, 0.9847000241279602: 2, 0.9768000245094299: 2, 0.9801999926567078: 2, 0.9864000082015991: 2, 0.982200026512146: 2, 0.9829999804496765: 2, 0.9764000177383423: 2, 0.8783000111579895: 2, 0.9815999865531921: 2, 0.8848000168800354: 2, 0.8736000061035156: 2, 0.8773999810218811: 1, 0.9886000156402588: 1, 0.9794999957084656: 1, 0.9049999713897705: 1, 0.9017000198364258: 1, 0.9233999848365784: 1, 0.8920000195503235: 1, 0.9854000210762024: 1, 0.8894000053405762: 1, 0.9006999731063843: 1, 0.9800000190734863: 1, 0.9779999852180481: 1, 0.9815000295639038: 1, 0.9810000061988831: 1, 0.9825999736785889: 1, 0.8910999894142151: 1, 0.9003999829292297: 1, 0.9021999835968018: 1, 0.8898000121116638: 1, 0.9014000296592712: 1, 0.9843999743461609: 1, 0.9836000204086304: 1, 0.8895000219345093: 1, 0.9746999740600586: 1, 0.9879000186920166: 1, 0.988099992275238: 1, 0.9884999990463257: 1, 0.9036999940872192: 1, 0.9857000112533569: 1, 0.9861999750137329: 1, 0.9684000015258789: 1, 0.9836999773979187: 1, 0.970300018787384: 1, 0.984000027179718: 1, 0.980400025844574: 1, 0.9842000007629395: 1, 0.9840999841690063: 1, 0.9819999933242798: 1, 0.9805999994277954: 1, 0.9315999746322632: 1, 0.974399983882904: 1, 0.977400004863739: 1, 0.9573000073432922: 1, 0.9760000109672546: 1, 0.9767000079154968: 1, 0.9771999716758728: 1, 0.9846000075340271: 1, 0.8621000051498413: 1, 0.8603000044822693: 1, 0.960099995136261: 1, 0.9832000136375427: 1, 0.9854999780654907: 1, 0.9786999821662903: 1, 0.9745000004768372: 1, 0.9829000234603882: 1, 0.9758999943733215: 1, 0.972000002861023: 1}
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    相同的行
    {1: 63, 2: 21, 3: 17, 4: 7, 13: 4, 7: 4, 5: 4, 11: 4, 6: 4, 10: 3, 41: 2, 46: 2, 74: 2, 19: 2, 17: 2, 878: 1, 766: 1, 173: 1, 477: 1, 904: 1, 405: 1, 107: 1, 202: 1, 651: 1, 855: 1, 620: 1, 238: 1, 73: 1, 557: 1, 96: 1, 63: 1, 343: 1, 122: 1, 56: 1, 36: 1, 244: 1, 14: 1, 8: 1, 42: 1, 30: 1, 18: 1, 28: 1, 53: 1, 12: 1, 21: 1, 15: 1, 9: 1}

    vgg16
    50 60 70 80 90 100 110 120 130 140 150 160 170 180
    PACE 0.080 0.008 0.123 0.051 0.269 0.026 0.232 0.483 0.262 0.309 0.085 0.137 0.044 0.169
    m(353,class,k=4) 2.590 4.359 2.445 0.090 0.368 3.406 1.569 3.647 1.256 0.360 0.568 1.696 2.002 0.161
    m(353,class,k=5) 0.453 0.969 2.335 1.334 0.633 0.031 0.803 1.666 2.448 1.495 0.743 2.044 0.962 0.726
    m(353,class,k=5)(50次取平均) 4.476 3.894 2.591 2.234 2.409 2.130 2.344 2.249 1.816 2.336 1.771 1.802 1.608 1.906
    m(467,class,k=5) 1.280 1.280 1.217 1.145 1.039 0.930 0.952 1.093 0.962 1.100 0.984 1.232 0.843 0.934
    m(467,class,k=6) 1.241 1.036 0.920 0.992 0.996 1.481 0.735 0.944 1.080 1.032 0.702 0.628 1.042 0.806
    m(587,class,k=6) 1.247 1.280 1.216 1.145 0.777 0.889 0.535 0.557 0.535 0.600 0.464 0.502 0.470 0.605
    m(400,class,k=3) 1.696 0.743 1.495 1.340 0.597 2.489 0.878 2.506 1.312 2.445 1.332 2.031 1.347 0.161
    m(400,class,k=4) 2.795 1.696 3.766 1.868 2.017 0.469 0.090 1.926 0.289 1.696 0.007 3.035 1.812 2.645
    m(400,class,k=5) 2.627 0.969 5.057 1.160 0.633 0.709 0.924 1.460 0.843 2.304 2.455 1.334 2.704 1.299