|
|
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}

[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 3. 2. 13. 18. 25. 9. 0. 1. 1. 0. 1. 2. 36.
289. 0.]
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 |