将吸引子,排斥子,鞍点和反鞍点旋转90度形成轴对称,并将成轴对称的两组图片进行分类。
r1 |
r2 |
||
<1 |
<1 |
吸引子 |
c |
>1 |
>1 |
排斥子 |
p |
>1 |
<1 |
鞍点 |
a |
<1 |
>1 |
反鞍点 |
fa |
|
r1 |
r2 |
||
<1 |
<1 |
90c |
|
>1 |
>1 |
90p |
|
>1 |
<1 |
90a |
|
<1 |
>1 |
90fa |
做了10个二分类网络来验证。
d2(c,c)-4-4-2-(2*k),k∈{0,1}
d2(c,p)-4-4-2-(2*k),k∈{0,1}
d2(c,a)-4-4-2-(2*k),k∈{0,1}
d2(c,fa)-4-4-2-(2*k),k∈{0,1}
d2(p,p)-4-4-2-(2*k),k∈{0,1}
d2(p,a)-4-4-2-(2*k),k∈{0,1}
d2(p,fa)-4-4-2-(2*k),k∈{0,1}
d2(a,a)-4-4-2-(2*k),k∈{0,1}
d2(a,fa)-4-4-2-(2*k),k∈{0,1}
d2(fa,fa)-4-4-2-(2*k),k∈{0,1}
实验过程
以二分类吸引子和90c为例子
d2(c,90c)-4-4-2-(2*k),k∈{0,1}
制作一个4*4*2的网络向这个的左侧输入吸引子C,并让左侧网络向1,0收敛;向右侧网络输入90C让右侧向0,1收敛,并让4*4*2部分权重共享,前面大量实验表明这种效果相当于将两个弹性系数为k1,k2的弹簧并联成一个弹性系数为k的弹簧,并且让k1=k2=k/2的过程。
这个网络的收敛标准是
if (Math.abs(f2[0]-y[0])< δ && Math.abs(f2[1]-y[1])< δ )
因为对应每个收敛标准δ都有一个特征的迭代次数n与之对应因此可以用迭代次数曲线n(δ)来评价网络性能。
本文尝试了δ从0.5到1e-6在内的26个值.
具体进样顺序 |
||
进样顺序 |
迭代次数 |
|
δ=0.5 |
||
c |
1 |
判断是否达到收敛 |
90c |
2 |
判断是否达到收敛 |
梯度下降 |
||
c |
3 |
判断是否达到收敛 |
90c |
4 |
判断是否达到收敛 |
梯度下降 |
||
…… |
||
达到收敛标准测量准确率,记录迭代次数,将这个过程重复199次 |
||
δ=0.4 |
||
… |
||
δ=1e-6 |
将这个网络简写成
d2(c,90c)-4-4-2-(2*k),k∈{0,1}
得到的数据
c90c |
||||||||
测试集 |
0.3 |
c |
||||||
0.7 |
90c |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.526543 |
0.520987 |
131.8744 |
0.684383 |
0.5 |
1.864322 |
404 |
0.006733 |
1 |
0.494236 |
0.506314 |
408.5628 |
0.998521 |
0.4 |
2.045226 |
407 |
0.006783 |
1 |
0.507004 |
0.492747 |
523.8543 |
1 |
0.3 |
2.01005 |
401 |
0.006683 |
1 |
0.52538 |
0.473589 |
651.4573 |
1 |
0.2 |
2.336683 |
465 |
0.00775 |
1 |
0.51796 |
0.48164 |
892.1508 |
1 |
0.1 |
2.798995 |
557 |
0.009283 |
1 |
0.507406 |
0.492649 |
3041.864 |
1 |
0.01 |
6.477387 |
1290 |
0.0215 |
1 |
0.522571 |
0.477433 |
18666.41 |
1 |
0.001 |
35.43719 |
7052 |
0.117533 |
1 |
0.522609 |
0.477391 |
154933 |
1 |
1.00E-04 |
265.5126 |
52869 |
0.88115 |
1 |
0.482415 |
0.517585 |
173681.9 |
1 |
9.00E-05 |
297.5528 |
59214 |
0.9869 |
1 |
0.507537 |
0.492464 |
193083.9 |
1 |
8.00E-05 |
326.7789 |
65029 |
1.083817 |
1 |
0.532659 |
0.467341 |
215305.9 |
1 |
7.00E-05 |
366.603 |
72954 |
1.2159 |
1 |
0.497488 |
0.502512 |
250412.3 |
1 |
6.00E-05 |
423.9648 |
84369 |
1.40615 |
1 |
0.447241 |
0.552759 |
301038.5 |
1 |
5.00E-05 |
510.4573 |
101597 |
1.693283 |
1 |
0.472364 |
0.527636 |
370228.5 |
1 |
4.00E-05 |
629.1307 |
125199 |
2.08665 |
1 |
0.487438 |
0.512562 |
490387.4 |
1 |
3.00E-05 |
842.4221 |
167658 |
2.7943 |
1 |
0.427139 |
0.572861 |
719951.8 |
1 |
2.00E-05 |
1190.337 |
236879 |
3.947983 |
1 |
0.522613 |
0.477387 |
1409685 |
1 |
1.00E-05 |
2291.794 |
456068 |
7.601133 |
1 |
0.487437 |
0.512563 |
1562235 |
1 |
9.00E-06 |
2540.839 |
505634 |
8.427233 |
1 |
0.527638 |
0.472362 |
1749759 |
1 |
8.00E-06 |
2293.593 |
456428 |
7.607133 |
1 |
0.517588 |
0.482412 |
2010267 |
1 |
7.00E-06 |
3270.432 |
650820 |
10.847 |
1 |
0.502513 |
0.497487 |
2372571 |
1 |
6.00E-06 |
3859.116 |
767968 |
12.79947 |
1 |
0.532663 |
0.467337 |
2831875 |
1 |
5.00E-06 |
4602.578 |
915919 |
15.26532 |
1 |
0.457287 |
0.542713 |
3497169 |
1 |
4.00E-06 |
5679.698 |
1130263 |
18.83772 |
1 |
0.522613 |
0.477387 |
4633150 |
1 |
3.00E-06 |
7525.598 |
1497601 |
24.96002 |
1 |
0.552764 |
0.447236 |
6887346 |
1 |
2.00E-06 |
11182.28 |
2225280 |
37.088 |
1 |
0.517588 |
0.482412 |
1.39E+07 |
1 |
1.00E-06 |
22662.01 |
4509744 |
75.1624 |
1 |
平均准确率p-ave,是199次收敛的平均值
最大准确率p-max,是199次收敛的最大值
从数据观察到p-ave和p-max都很高甚至等于1,表明c和90c是可以分类的。
将所有10组数据汇总
迭代次数n |
||||||||||
δ |
c90c |
c90p |
c90a |
c90fa |
p90p |
p90a |
p90fa |
a90a |
a90fa |
fa90fa |
0.5 |
131.8744 |
114.8844 |
127.3116 |
126.5427 |
113.0302 |
115.402 |
116.2111 |
123.3015 |
119.8241 |
119.7337 |
0.4 |
408.5628 |
346.5879 |
372.5075 |
372.8593 |
306.1457 |
322.5377 |
328.7186 |
340.8241 |
337.8693 |
353.1307 |
0.3 |
523.8543 |
460.8191 |
497.2111 |
489.7588 |
405.4673 |
430.6935 |
431.5075 |
470.3869 |
457.6633 |
464.4573 |
0.2 |
651.4573 |
591.0352 |
608.3116 |
618.9146 |
524.1809 |
543.9648 |
550.2864 |
571.392 |
577.3618 |
574.5779 |
0.1 |
892.1508 |
791.5779 |
835.1558 |
839.5578 |
732.9849 |
759.8442 |
766.8945 |
798.8643 |
791.5528 |
789.7437 |
0.01 |
3041.864 |
2997.925 |
2948.799 |
2995.382 |
3036.03 |
2971.085 |
3027.683 |
3043.523 |
3026.075 |
2992.181 |
0.001 |
18666.41 |
18982.63 |
19199.14 |
18697.54 |
20160.65 |
20141.81 |
19973.77 |
19763.44 |
19902.08 |
19734.79 |
1.00E-04 |
154933 |
155119 |
157139.3 |
160623.4 |
180285.8 |
169889.1 |
169733.2 |
173807.2 |
172645.8 |
170339.3 |
9.00E-05 |
173681.9 |
175880.2 |
178394.2 |
174586.2 |
197241.3 |
191301 |
191646.1 |
186127.7 |
185716.9 |
193358.2 |
8.00E-05 |
193083.9 |
194356.2 |
192181.4 |
194583.5 |
220316.1 |
216489.9 |
211761.2 |
212362.1 |
211638.4 |
210133.1 |
7.00E-05 |
215305.9 |
217283.1 |
221122.4 |
220790.2 |
250422 |
244110.6 |
241865.8 |
240375.8 |
243420.3 |
241907 |
6.00E-05 |
250412.3 |
255396.8 |
253899.3 |
248430.4 |
296003.7 |
280588.5 |
284804.3 |
282585.6 |
280313 |
276559.3 |
5.00E-05 |
301038.5 |
310982.8 |
306293.8 |
307819.2 |
352459 |
332682.3 |
332686.2 |
331453.8 |
335069.5 |
331354.3 |
4.00E-05 |
370228.5 |
372387.4 |
377779 |
373825.7 |
434223.6 |
419922.5 |
412651.2 |
408452.5 |
416923.9 |
412179.2 |
3.00E-05 |
490387.4 |
491419.8 |
508109.6 |
486019.3 |
575105.8 |
555232.1 |
558235.3 |
554077.2 |
544859.7 |
547005 |
2.00E-05 |
719951.8 |
741632.8 |
743942.2 |
729207.4 |
851691.7 |
809831.7 |
827564.3 |
813810 |
809301.8 |
818629.8 |
1.00E-05 |
1409685 |
1443639 |
1469048 |
1455749 |
1673573 |
1611146 |
1615672 |
1605139 |
1616243 |
1610707 |
9.00E-06 |
1562235 |
1584642 |
1626100 |
1602979 |
1904267 |
1805135 |
1796785 |
1769139 |
1754074 |
1764101 |
8.00E-06 |
1749759 |
1776924 |
1811294 |
1796519 |
2102945 |
2009691 |
2009703 |
1989280 |
1963808 |
1985273 |
7.00E-06 |
2010267 |
2053422 |
2050795 |
2058895 |
2375729 |
2295291 |
2279402 |
2279703 |
2284711 |
2282847 |
6.00E-06 |
2372571 |
2393968 |
2356225 |
2428483 |
2798351 |
2652808 |
2698319 |
2645305 |
2631248 |
2661392 |
5.00E-06 |
2831875 |
2896488 |
2820220 |
2825876 |
3399647 |
3200305 |
3199980 |
3189939 |
3173364 |
3176851 |
4.00E-06 |
3497169 |
3516782 |
3535259 |
3516984 |
4242944 |
3989938 |
3929552 |
3925776 |
3927128 |
3967423 |
3.00E-06 |
4633150 |
4740260 |
4748654 |
4750814 |
5535770 |
5362736 |
5327771 |
5185330 |
5237892 |
5191960 |
2.00E-06 |
6887346 |
6930461 |
7105182 |
6972852 |
8327463 |
7906124 |
7959008 |
7860425 |
7909708 |
7753992 |
1.00E-06 |
1.39E+07 |
1.40E+07 |
1.40E+07 |
1.38E+07 |
1.67E+07 |
1.57E+07 |
1.56E+07 |
1.58E+07 |
1.59E+07 |
1.58E+07 |
表明这10个网络的迭代次数曲线是差不多的。
平均准确率p-ave |
||||||||||
δ |
c90c |
c90p |
c90a |
c90fa |
p90p |
p90a |
p90fa |
a90a |
a90fa |
fa90fa |
0.5 |
0.684383 |
0.767883 |
0.784805 |
0.759302 |
0.692924 |
0.629695 |
0.671631 |
0.730786 |
0.732049 |
0.711712 |
0.4 |
0.998521 |
0.989417 |
0.997012 |
0.993662 |
0.98996 |
0.987832 |
0.987797 |
0.986947 |
0.990221 |
0.995493 |
0.3 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
0.2 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
0.1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
0.01 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
0.001 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1.00E-04 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
9.00E-05 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
8.00E-05 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
7.00E-05 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
6.00E-05 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
5.00E-05 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
4.00E-05 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
3.00E-05 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
2.00E-05 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1.00E-05 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
9.00E-06 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
8.00E-06 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
7.00E-06 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
6.00E-06 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
5.00E-06 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
4.00E-06 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
3.00E-06 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
2.00E-06 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1.00E-06 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
而且这个10个网络都可以实现很高的分辨率。
表明成轴对称的两组图片有被分为两类的可能。
实验参数
学习率 0.1 |
权重初始化方式 |
Random rand1 =new Random(); |
int ti1=rand1.nextInt(98)+1; |
tw[a][b]=xx*((double)ti1/100); |
c90c |
||||||||
测试集 |
0.3 |
c |
||||||
0.7 |
90c |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.526543 |
0.520987 |
131.8744 |
0.684383 |
0.5 |
1.864322 |
404 |
0.006733 |
1 |
0.494236 |
0.506314 |
408.5628 |
0.998521 |
0.4 |
2.045226 |
407 |
0.006783 |
1 |
0.507004 |
0.492747 |
523.8543 |
1 |
0.3 |
2.01005 |
401 |
0.006683 |
1 |
0.52538 |
0.473589 |
651.4573 |
1 |
0.2 |
2.336683 |
465 |
0.00775 |
1 |
0.51796 |
0.48164 |
892.1508 |
1 |
0.1 |
2.798995 |
557 |
0.009283 |
1 |
0.507406 |
0.492649 |
3041.864 |
1 |
0.01 |
6.477387 |
1290 |
0.0215 |
1 |
0.522571 |
0.477433 |
18666.41 |
1 |
0.001 |
35.43719 |
7052 |
0.117533 |
1 |
0.522609 |
0.477391 |
154933 |
1 |
1.00E-04 |
265.5126 |
52869 |
0.88115 |
1 |
0.482415 |
0.517585 |
173681.9 |
1 |
9.00E-05 |
297.5528 |
59214 |
0.9869 |
1 |
0.507537 |
0.492464 |
193083.9 |
1 |
8.00E-05 |
326.7789 |
65029 |
1.083817 |
1 |
0.532659 |
0.467341 |
215305.9 |
1 |
7.00E-05 |
366.603 |
72954 |
1.2159 |
1 |
0.497488 |
0.502512 |
250412.3 |
1 |
6.00E-05 |
423.9648 |
84369 |
1.40615 |
1 |
0.447241 |
0.552759 |
301038.5 |
1 |
5.00E-05 |
510.4573 |
101597 |
1.693283 |
1 |
0.472364 |
0.527636 |
370228.5 |
1 |
4.00E-05 |
629.1307 |
125199 |
2.08665 |
1 |
0.487438 |
0.512562 |
490387.4 |
1 |
3.00E-05 |
842.4221 |
167658 |
2.7943 |
1 |
0.427139 |
0.572861 |
719951.8 |
1 |
2.00E-05 |
1190.337 |
236879 |
3.947983 |
1 |
0.522613 |
0.477387 |
1409685 |
1 |
1.00E-05 |
2291.794 |
456068 |
7.601133 |
1 |
0.487437 |
0.512563 |
1562235 |
1 |
9.00E-06 |
2540.839 |
505634 |
8.427233 |
1 |
0.527638 |
0.472362 |
1749759 |
1 |
8.00E-06 |
2293.593 |
456428 |
7.607133 |
1 |
0.517588 |
0.482412 |
2010267 |
1 |
7.00E-06 |
3270.432 |
650820 |
10.847 |
1 |
0.502513 |
0.497487 |
2372571 |
1 |
6.00E-06 |
3859.116 |
767968 |
12.79947 |
1 |
0.532663 |
0.467337 |
2831875 |
1 |
5.00E-06 |
4602.578 |
915919 |
15.26532 |
1 |
0.457287 |
0.542713 |
3497169 |
1 |
4.00E-06 |
5679.698 |
1130263 |
18.83772 |
1 |
0.522613 |
0.477387 |
4633150 |
1 |
3.00E-06 |
7525.598 |
1497601 |
24.96002 |
1 |
0.552764 |
0.447236 |
6887346 |
1 |
2.00E-06 |
11182.28 |
2225280 |
37.088 |
1 |
0.517588 |
0.482412 |
1.39E+07 |
1 |
1.00E-06 |
22662.01 |
4509744 |
75.1624 |
1 |
c90p |
||||||||
测试集 |
0.3 |
c |
||||||
0.7 |
90p |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.508727 |
0.552175 |
114.8844 |
0.767883 |
0.5 |
2.065327 |
416 |
0.006933 |
1 |
0.444757 |
0.556683 |
346.5879 |
0.989417 |
0.4 |
2.090452 |
418 |
0.006967 |
1 |
0.414325 |
0.586769 |
460.8191 |
1 |
0.3 |
2.366834 |
475 |
0.007917 |
1 |
0.423193 |
0.581004 |
591.0352 |
1 |
0.2 |
2.020101 |
407 |
0.006783 |
1 |
0.494651 |
0.505552 |
791.5779 |
1 |
0.1 |
2.341709 |
469 |
0.007817 |
1 |
0.704623 |
0.295447 |
2997.925 |
1 |
0.01 |
6.075377 |
1216 |
0.020267 |
1 |
0.783366 |
0.216635 |
18982.63 |
1 |
0.001 |
33.75879 |
6727 |
0.112117 |
1 |
0.808984 |
0.191016 |
155119 |
1 |
1.00E-04 |
251.9749 |
50153 |
0.835883 |
1 |
0.80899 |
0.19101 |
175880.2 |
1 |
9.00E-05 |
286.1106 |
56942 |
0.949033 |
1 |
0.783875 |
0.216125 |
194356.2 |
1 |
8.00E-05 |
314.608 |
62613 |
1.04355 |
1 |
0.819051 |
0.180949 |
217283.1 |
1 |
7.00E-05 |
352.0653 |
70068 |
1.1678 |
1 |
0.814033 |
0.185967 |
255396.8 |
1 |
6.00E-05 |
413.3769 |
82270 |
1.371167 |
1 |
0.773842 |
0.226158 |
310982.8 |
1 |
5.00E-05 |
503.2764 |
100155 |
1.66925 |
1 |
0.844194 |
0.155806 |
372387.4 |
1 |
4.00E-05 |
602.0854 |
119824 |
1.997067 |
1 |
0.839176 |
0.160824 |
491419.8 |
1 |
3.00E-05 |
794.9045 |
158194 |
2.636567 |
1 |
0.773859 |
0.226141 |
741632.8 |
1 |
2.00E-05 |
1202.442 |
239294 |
3.988233 |
1 |
0.844214 |
0.155786 |
1443639 |
1 |
1.00E-05 |
2355.065 |
468660 |
7.811 |
1 |
0.864315 |
0.135685 |
1584642 |
1 |
9.00E-06 |
2568.543 |
511145 |
8.519083 |
1 |
0.839191 |
0.160809 |
1776924 |
1 |
8.00E-06 |
2878.462 |
572821 |
9.547017 |
1 |
0.844216 |
0.155784 |
2053422 |
1 |
7.00E-06 |
3326.492 |
661977 |
11.03295 |
1 |
0.854267 |
0.145733 |
2393968 |
1 |
6.00E-06 |
3884.492 |
773017 |
12.88362 |
1 |
0.773867 |
0.226133 |
2896488 |
1 |
5.00E-06 |
4698.794 |
935063 |
15.58438 |
1 |
0.788942 |
0.211058 |
3516782 |
1 |
4.00E-06 |
5902.538 |
1174605 |
19.57675 |
1 |
0.834169 |
0.165831 |
4740260 |
1 |
3.00E-06 |
8036.573 |
1599279 |
26.65465 |
1 |
0.824119 |
0.175881 |
6930461 |
1 |
2.00E-06 |
11170.96 |
2223025 |
37.05042 |
1 |
0.804019 |
0.195981 |
1.40E+07 |
1 |
1.00E-06 |
24117.63 |
4799409 |
79.99015 |
1 |
c90a |
||||||||
测试集 |
0.3 |
c |
||||||
0.7 |
90a |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.512295 |
0.538503 |
127.3116 |
0.784805 |
0.5 |
1.934673 |
400 |
0.006667 |
1 |
0.487975 |
0.516048 |
372.5075 |
0.997012 |
0.4 |
1.974874 |
393 |
0.00655 |
1 |
0.459986 |
0.540066 |
497.2111 |
1 |
0.3 |
2.115578 |
423 |
0.00705 |
1 |
0.426574 |
0.57352 |
608.3116 |
1 |
0.2 |
2.165829 |
431 |
0.007183 |
1 |
0.568285 |
0.431977 |
835.1558 |
1 |
0.1 |
2.487437 |
495 |
0.00825 |
1 |
0.753884 |
0.246186 |
2948.799 |
1 |
0.01 |
6.311558 |
1256 |
0.020933 |
1 |
0.798414 |
0.201591 |
19199.14 |
1 |
0.001 |
36.51256 |
7281 |
0.12135 |
1 |
0.814008 |
0.185992 |
157139.3 |
1 |
1.00E-04 |
265.4221 |
52820 |
0.880333 |
1 |
0.758748 |
0.241252 |
178394.2 |
1 |
9.00E-05 |
303.5628 |
60411 |
1.00685 |
1 |
0.803972 |
0.196028 |
192181.4 |
1 |
8.00E-05 |
326.9296 |
65060 |
1.084333 |
1 |
0.814027 |
0.185973 |
221122.4 |
1 |
7.00E-05 |
376.0553 |
74851 |
1.247517 |
1 |
0.778861 |
0.221139 |
253899.3 |
1 |
6.00E-05 |
429.3518 |
85441 |
1.424017 |
1 |
0.793941 |
0.206059 |
306293.8 |
1 |
5.00E-05 |
521.5829 |
103796 |
1.729933 |
1 |
0.773848 |
0.226152 |
377779 |
1 |
4.00E-05 |
639.392 |
127255 |
2.120917 |
1 |
0.773853 |
0.226147 |
508109.6 |
1 |
3.00E-05 |
857.4774 |
170638 |
2.843967 |
1 |
0.798983 |
0.201017 |
743942.2 |
1 |
2.00E-05 |
1249.342 |
248619 |
4.14365 |
1 |
0.778889 |
0.221111 |
1469048 |
1 |
1.00E-05 |
2461.035 |
489746 |
8.162433 |
1 |
0.793965 |
0.206035 |
1626100 |
1 |
9.00E-06 |
2765.744 |
550387 |
9.173117 |
1 |
0.804015 |
0.195985 |
1811294 |
1 |
8.00E-06 |
3106.276 |
618149 |
10.30248 |
1 |
0.814066 |
0.185934 |
2050795 |
1 |
7.00E-06 |
3405.111 |
677633 |
11.29388 |
1 |
0.804016 |
0.195984 |
2356225 |
1 |
6.00E-06 |
4025.362 |
801048 |
13.3508 |
1 |
0.748741 |
0.251259 |
2820220 |
1 |
5.00E-06 |
4829.372 |
961047 |
16.01745 |
1 |
0.809043 |
0.190957 |
3535259 |
1 |
4.00E-06 |
6056.794 |
1205302 |
20.08837 |
1 |
0.793968 |
0.206032 |
4748654 |
1 |
3.00E-06 |
8096.116 |
1611143 |
26.85238 |
1 |
0.804019 |
0.195981 |
7105182 |
1 |
2.00E-06 |
12078.41 |
2403605 |
40.06008 |
1 |
0.778894 |
0.221106 |
1.40E+07 |
1 |
1.00E-06 |
23854.79 |
4747104 |
79.1184 |
1 |
c90fa |
||||||||
测试集 |
0.3 |
c |
||||||
0.7 |
90fa |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.513475 |
0.539712 |
126.5427 |
0.759302 |
0.5 |
2.266332 |
451 |
0.007517 |
1 |
0.472083 |
0.532023 |
372.8593 |
0.993662 |
0.4 |
2.276382 |
455 |
0.007583 |
1 |
0.458539 |
0.543047 |
489.7588 |
1 |
0.3 |
2.668342 |
532 |
0.008867 |
1 |
0.484899 |
0.516832 |
618.9146 |
1 |
0.2 |
2.231156 |
447 |
0.00745 |
1 |
0.495018 |
0.50587 |
839.5578 |
1 |
0.1 |
2.487437 |
498 |
0.0083 |
1 |
0.694713 |
0.305296 |
2995.382 |
1 |
0.01 |
6.417085 |
1279 |
0.021317 |
1 |
0.748257 |
0.251742 |
18697.54 |
1 |
0.001 |
34.39196 |
6849 |
0.11415 |
1 |
0.728598 |
0.271402 |
160623.4 |
1 |
1.00E-04 |
278.4824 |
55422 |
0.9237 |
1 |
0.758748 |
0.241252 |
174586.2 |
1 |
9.00E-05 |
289.4925 |
57614 |
0.960233 |
1 |
0.753729 |
0.246271 |
194583.5 |
1 |
8.00E-05 |
326.6583 |
65010 |
1.0835 |
1 |
0.809003 |
0.190998 |
220790.2 |
1 |
7.00E-05 |
359.1407 |
71473 |
1.191217 |
1 |
0.814033 |
0.185967 |
248430.4 |
1 |
6.00E-05 |
423.2563 |
84230 |
1.403833 |
1 |
0.773842 |
0.226158 |
307819.2 |
1 |
5.00E-05 |
526.5176 |
104782 |
1.746367 |
1 |
0.824095 |
0.175905 |
373825.7 |
1 |
4.00E-05 |
636.392 |
126661 |
2.111017 |
1 |
0.814052 |
0.185948 |
486019.3 |
1 |
3.00E-05 |
835.5477 |
166276 |
2.771267 |
1 |
0.798983 |
0.201017 |
729207.4 |
1 |
2.00E-05 |
1260.789 |
250897 |
4.181617 |
1 |
0.829139 |
0.170861 |
1455749 |
1 |
1.00E-05 |
2541.271 |
505714 |
8.428567 |
1 |
0.804015 |
0.195985 |
1602979 |
1 |
9.00E-06 |
2751.663 |
547586 |
9.126433 |
1 |
0.814065 |
0.185935 |
1796519 |
1 |
8.00E-06 |
2953.281 |
587706 |
9.7951 |
1 |
0.72864 |
0.27136 |
2058895 |
1 |
7.00E-06 |
3384.136 |
673457 |
11.22428 |
1 |
0.778891 |
0.221109 |
2428483 |
1 |
6.00E-06 |
4049.347 |
805825 |
13.43042 |
1 |
0.798992 |
0.201008 |
2825876 |
1 |
5.00E-06 |
4701.688 |
935640 |
15.594 |
1 |
0.829143 |
0.170857 |
3516984 |
1 |
4.00E-06 |
5864.769 |
1167123 |
19.45205 |
1 |
0.839194 |
0.160806 |
4750814 |
1 |
3.00E-06 |
8122.291 |
1616339 |
26.93898 |
1 |
0.778893 |
0.221107 |
6972852 |
1 |
2.00E-06 |
12089.77 |
2405866 |
40.09777 |
1 |
0.783919 |
0.216081 |
1.38E+07 |
1 |
1.00E-06 |
23456.4 |
4667829 |
77.79715 |
1 |
p90p |
||||||||
测试集 |
0.3 |
p |
||||||
0.7 |
90p |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.529785 |
0.529507 |
113.0302 |
0.692924 |
0.5 |
2.090452 |
433 |
0.007217 |
1 |
0.504399 |
0.500345 |
306.1457 |
0.98996 |
0.4 |
1.98995 |
396 |
0.0066 |
1 |
0.491758 |
0.505517 |
405.4673 |
1 |
0.3 |
2.281407 |
454 |
0.007567 |
1 |
0.514413 |
0.4867 |
524.1809 |
1 |
0.2 |
2.175879 |
439 |
0.007317 |
1 |
0.510086 |
0.490508 |
732.9849 |
1 |
0.1 |
2.331658 |
465 |
0.00775 |
1 |
0.502471 |
0.497527 |
3036.03 |
1 |
0.01 |
6.366834 |
1269 |
0.02115 |
1 |
0.502509 |
0.497494 |
20160.65 |
1 |
0.001 |
37.86432 |
7536 |
0.1256 |
1 |
0.507536 |
0.492464 |
180285.8 |
1 |
1.00E-04 |
307.8693 |
61268 |
1.021133 |
1 |
0.427149 |
0.572851 |
197241.3 |
1 |
9.00E-05 |
337.191 |
67101 |
1.11835 |
1 |
0.522609 |
0.477391 |
220316.1 |
1 |
8.00E-05 |
378.4724 |
75317 |
1.255283 |
1 |
0.472366 |
0.527634 |
250422 |
1 |
7.00E-05 |
431.3417 |
85855 |
1.430917 |
1 |
0.527635 |
0.472365 |
296003.7 |
1 |
6.00E-05 |
507.1256 |
100944 |
1.6824 |
1 |
0.497488 |
0.502512 |
352459 |
1 |
5.00E-05 |
607.0553 |
120807 |
2.01345 |
1 |
0.467339 |
0.532661 |
434223.6 |
1 |
4.00E-05 |
747.4774 |
148753 |
2.479217 |
1 |
0.497488 |
0.502512 |
575105.8 |
1 |
3.00E-05 |
-59.0804 |
-11755 |
-0.19592 |
1 |
0.552762 |
0.447238 |
851691.7 |
1 |
2.00E-05 |
1447.693 |
288093 |
4.80155 |
1 |
0.522613 |
0.477387 |
1673573 |
1 |
1.00E-05 |
2835.04 |
564174 |
9.4029 |
1 |
0.557788 |
0.442212 |
1904267 |
1 |
9.00E-06 |
3347.92 |
666244 |
11.10407 |
1 |
0.487437 |
0.512563 |
2102945 |
1 |
8.00E-06 |
3698.633 |
736028 |
12.26713 |
1 |
0.502513 |
0.497487 |
2375729 |
1 |
7.00E-06 |
4176.653 |
831154 |
13.85257 |
1 |
0.517588 |
0.482412 |
2798351 |
1 |
6.00E-06 |
4739.538 |
943168 |
15.71947 |
1 |
0.492462 |
0.507538 |
3399647 |
1 |
5.00E-06 |
5693.402 |
1132990 |
18.88317 |
1 |
0.537688 |
0.462312 |
4242944 |
1 |
4.00E-06 |
7055.603 |
1404072 |
23.4012 |
1 |
0.512563 |
0.487437 |
5535770 |
1 |
3.00E-06 |
9299.347 |
1850572 |
30.84287 |
1 |
0.507538 |
0.492462 |
8327463 |
1 |
2.00E-06 |
14069.05 |
2799774 |
46.6629 |
1 |
0.497487 |
0.502513 |
1.67E+07 |
1 |
1.00E-06 |
27518.72 |
5476225 |
91.27042 |
1 |
p90a |
||||||||
测试集 |
0.3 |
p |
||||||
0.7 |
90a |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.537917 |
0.520255 |
115.402 |
0.629695 |
0.5 |
2.040201 |
406 |
0.006767 |
1 |
0.541042 |
0.462075 |
322.5377 |
0.987832 |
0.4 |
2.050251 |
408 |
0.0068 |
1 |
0.573857 |
0.426363 |
430.6935 |
1 |
0.3 |
2.361809 |
470 |
0.007833 |
1 |
0.547257 |
0.45223 |
543.9648 |
1 |
0.2 |
2.045226 |
407 |
0.006783 |
1 |
0.514366 |
0.486225 |
759.8442 |
1 |
0.1 |
2.361809 |
470 |
0.007833 |
1 |
0.34478 |
0.655264 |
2971.085 |
1 |
0.01 |
6.231156 |
1240 |
0.020667 |
1 |
0.367096 |
0.632905 |
20141.81 |
1 |
0.001 |
36.0201 |
7184 |
0.119733 |
1 |
0.28145 |
0.71855 |
169889.1 |
1 |
1.00E-04 |
284.2563 |
56567 |
0.942783 |
1 |
0.256325 |
0.743675 |
191301 |
1 |
9.00E-05 |
320.1106 |
63702 |
1.0617 |
1 |
0.271393 |
0.728607 |
216489.9 |
1 |
8.00E-05 |
361.3065 |
71916 |
1.1986 |
1 |
0.236218 |
0.763783 |
244110.6 |
1 |
7.00E-05 |
406.7387 |
80941 |
1.349017 |
1 |
0.266359 |
0.733641 |
280588.5 |
1 |
6.00E-05 |
464.4874 |
92433 |
1.54055 |
1 |
0.276404 |
0.723596 |
332682.3 |
1 |
5.00E-05 |
550.9849 |
109646 |
1.827433 |
1 |
0.246251 |
0.753749 |
419922.5 |
1 |
4.00E-05 |
694.5829 |
138238 |
2.303967 |
1 |
0.266346 |
0.733654 |
555232.1 |
1 |
3.00E-05 |
923.7638 |
183846 |
3.0641 |
1 |
0.251266 |
0.748734 |
809831.7 |
1 |
2.00E-05 |
1354.236 |
269493 |
4.49155 |
1 |
0.211061 |
0.788939 |
1611146 |
1 |
1.00E-05 |
2713.834 |
540069 |
9.00115 |
1 |
0.226136 |
0.773864 |
1805135 |
1 |
9.00E-06 |
2946.291 |
586312 |
9.771867 |
1 |
0.175885 |
0.824115 |
2009691 |
1 |
8.00E-06 |
3365.261 |
669687 |
11.16145 |
1 |
0.246235 |
0.753765 |
2295291 |
1 |
7.00E-06 |
3860.106 |
768162 |
12.8027 |
1 |
0.206034 |
0.793966 |
2652808 |
1 |
6.00E-06 |
4441.98 |
883969 |
14.73282 |
1 |
0.221108 |
0.778892 |
3200305 |
1 |
5.00E-06 |
4976.432 |
990310 |
16.50517 |
1 |
0.180907 |
0.819093 |
3989938 |
1 |
4.00E-06 |
6705.261 |
1334347 |
22.23912 |
1 |
0.201007 |
0.798993 |
5362736 |
1 |
3.00E-06 |
9015.276 |
1794040 |
29.90067 |
1 |
0.216082 |
0.783918 |
7906124 |
1 |
2.00E-06 |
13247.04 |
2636160 |
43.936 |
1 |
0.190955 |
0.809045 |
1.57E+07 |
1 |
1.00E-06 |
26395.33 |
5252671 |
87.54452 |
1 |
p90fa |
||||||||
测试集 |
0.3 |
p |
||||||
0.7 |
90fa |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.540787 |
0.517055 |
116.2111 |
0.671631 |
0.5 |
1.964824 |
391 |
0.006517 |
1 |
0.534404 |
0.467007 |
328.7186 |
0.987797 |
0.4 |
1.964824 |
391 |
0.006517 |
1 |
0.563833 |
0.434837 |
431.5075 |
1 |
0.3 |
2.326633 |
463 |
0.007717 |
1 |
0.529733 |
0.47056 |
550.2864 |
1 |
0.2 |
2.472362 |
492 |
0.0082 |
1 |
0.510557 |
0.491419 |
766.8945 |
1 |
0.1 |
2.366834 |
471 |
0.00785 |
1 |
0.517234 |
0.482795 |
3027.683 |
1 |
0.01 |
6.221106 |
1238 |
0.020633 |
1 |
0.321959 |
0.678042 |
19973.77 |
1 |
0.001 |
36.48744 |
7261 |
0.121017 |
1 |
0.206089 |
0.793912 |
169733.2 |
1 |
1.00E-04 |
284.0201 |
56520 |
0.942 |
1 |
0.306567 |
0.693433 |
191646.1 |
1 |
9.00E-05 |
319.5226 |
63585 |
1.05975 |
1 |
0.231198 |
0.768802 |
211761.2 |
1 |
8.00E-05 |
351.1055 |
69870 |
1.1645 |
1 |
0.256315 |
0.743685 |
241865.8 |
1 |
7.00E-05 |
403.608 |
80318 |
1.338633 |
1 |
0.226163 |
0.773837 |
284804.3 |
1 |
6.00E-05 |
476.7286 |
94869 |
1.58115 |
1 |
0.226158 |
0.773842 |
332686.2 |
1 |
5.00E-05 |
553.6633 |
110179 |
1.836317 |
1 |
0.261326 |
0.738675 |
412651.2 |
1 |
4.00E-05 |
695.8141 |
138467 |
2.307783 |
1 |
0.27137 |
0.72863 |
558235.3 |
1 |
3.00E-05 |
943.0352 |
187680 |
3.128 |
1 |
0.256291 |
0.743709 |
827564.3 |
1 |
2.00E-05 |
1401.121 |
278823 |
4.64705 |
1 |
0.266336 |
0.733664 |
1615672 |
1 |
1.00E-05 |
2732.467 |
543777 |
9.06295 |
1 |
0.276386 |
0.723614 |
1796785 |
1 |
9.00E-06 |
3031.291 |
603242 |
10.05403 |
1 |
0.23116 |
0.76884 |
2009703 |
1 |
8.00E-06 |
3311.884 |
659065 |
10.98442 |
1 |
0.286435 |
0.713565 |
2279402 |
1 |
7.00E-06 |
3852.291 |
766606 |
12.77677 |
1 |
0.211059 |
0.788941 |
2698319 |
1 |
6.00E-06 |
4552.648 |
905977 |
15.09962 |
1 |
0.246234 |
0.753766 |
3199980 |
1 |
5.00E-06 |
5331.804 |
1061060 |
17.68433 |
1 |
0.180907 |
0.819093 |
3929552 |
1 |
4.00E-06 |
6434.397 |
1280461 |
21.34102 |
1 |
0.201007 |
0.798993 |
5327771 |
1 |
3.00E-06 |
9241.382 |
1839051 |
30.65085 |
1 |
0.221107 |
0.778893 |
7959008 |
1 |
2.00E-06 |
13394.4 |
2665493 |
44.42488 |
1 |
0.18593 |
0.81407 |
1.56E+07 |
1 |
1.00E-06 |
26746.51 |
5322556 |
88.70927 |
1 |
a90a |
||||||||
测试集 |
0.3 |
a |
||||||
0.7 |
90a |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.525283 |
0.524947 |
123.3015 |
0.730786 |
0.5 |
1.929648 |
400 |
0.006667 |
1 |
0.498771 |
0.502565 |
340.8241 |
0.986947 |
0.4 |
2.015075 |
401 |
0.006683 |
1 |
0.523903 |
0.476954 |
470.3869 |
1 |
0.3 |
2.241206 |
446 |
0.007433 |
1 |
0.522427 |
0.47661 |
571.392 |
1 |
0.2 |
2.713568 |
556 |
0.009267 |
1 |
0.485956 |
0.514318 |
798.8643 |
1 |
0.1 |
2.592965 |
516 |
0.0086 |
1 |
0.527135 |
0.4729 |
3043.523 |
1 |
0.01 |
6.321608 |
1259 |
0.020983 |
1 |
0.522568 |
0.477432 |
19763.44 |
1 |
0.001 |
35.75377 |
7115 |
0.118583 |
1 |
0.502512 |
0.497488 |
173807.2 |
1 |
1.00E-04 |
292.7085 |
58250 |
0.970833 |
1 |
0.522609 |
0.477391 |
186127.7 |
1 |
9.00E-05 |
316.1709 |
62919 |
1.04865 |
1 |
0.462318 |
0.537683 |
212362.1 |
1 |
8.00E-05 |
361.6583 |
71970 |
1.1995 |
1 |
0.492463 |
0.507537 |
240375.8 |
1 |
7.00E-05 |
407.8593 |
81180 |
1.353 |
1 |
0.512561 |
0.487439 |
282585.6 |
1 |
6.00E-05 |
477.6834 |
95059 |
1.584317 |
1 |
0.46734 |
0.53266 |
331453.8 |
1 |
5.00E-05 |
561.1658 |
111687 |
1.86145 |
1 |
0.442216 |
0.557784 |
408452.5 |
1 |
4.00E-05 |
694.201 |
138146 |
2.302433 |
1 |
0.492463 |
0.507537 |
554077.2 |
1 |
3.00E-05 |
943.5025 |
187757 |
3.129283 |
1 |
0.462313 |
0.537687 |
813810 |
1 |
2.00E-05 |
1381.528 |
274940 |
4.582333 |
1 |
0.512563 |
0.487437 |
1605139 |
1 |
1.00E-05 |
2717.116 |
540706 |
9.011767 |
1 |
0.517588 |
0.482412 |
1769139 |
1 |
9.00E-06 |
2982.07 |
593432 |
9.890533 |
1 |
0.512563 |
0.487437 |
1989280 |
1 |
8.00E-06 |
3294.447 |
655595 |
10.92658 |
1 |
0.502513 |
0.497487 |
2279703 |
1 |
7.00E-06 |
3847.085 |
765570 |
12.7595 |
1 |
0.447237 |
0.552763 |
2645305 |
1 |
6.00E-06 |
4467.864 |
889105 |
14.81842 |
1 |
0.502513 |
0.497487 |
3189939 |
1 |
5.00E-06 |
5382.714 |
1071192 |
17.8532 |
1 |
0.577889 |
0.422111 |
3925776 |
1 |
4.00E-06 |
6594.513 |
1312324 |
21.87207 |
1 |
0.517588 |
0.482412 |
5185330 |
1 |
3.00E-06 |
9035.729 |
1798110 |
29.9685 |
1 |
0.507538 |
0.492462 |
7860425 |
1 |
2.00E-06 |
13609.97 |
2708391 |
45.13985 |
1 |
0.502513 |
0.497487 |
1.58E+07 |
1 |
1.00E-06 |
26440.74 |
5261730 |
87.6955 |
1 |
a90fa |
||||||||
测试集 |
0.3 |
a |
||||||
0.7 |
90fa |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.525959 |
0.526872 |
119.8241 |
0.732049 |
0.5 |
1.969849 |
407 |
0.006783 |
1 |
0.506122 |
0.496059 |
337.8693 |
0.990221 |
0.4 |
2.135678 |
440 |
0.007333 |
1 |
0.50456 |
0.497614 |
457.6633 |
1 |
0.3 |
2.276382 |
453 |
0.00755 |
1 |
0.536599 |
0.46456 |
577.3618 |
1 |
0.2 |
2.125628 |
423 |
0.00705 |
1 |
0.522535 |
0.477742 |
791.5528 |
1 |
0.1 |
2.386935 |
475 |
0.007917 |
1 |
0.566561 |
0.433481 |
3026.075 |
1 |
0.01 |
6.055276 |
1205 |
0.020083 |
1 |
0.502508 |
0.497492 |
19902.08 |
1 |
0.001 |
35.54271 |
7073 |
0.117883 |
1 |
0.527633 |
0.472367 |
172645.8 |
1 |
1.00E-04 |
286.3266 |
56979 |
0.94965 |
1 |
0.502512 |
0.497488 |
185716.9 |
1 |
9.00E-05 |
304.5829 |
60628 |
1.010467 |
1 |
0.472366 |
0.527634 |
211638.4 |
1 |
8.00E-05 |
360.0251 |
71645 |
1.194083 |
1 |
0.462317 |
0.537683 |
243420.3 |
1 |
7.00E-05 |
411.6633 |
81923 |
1.365383 |
1 |
0.52261 |
0.47739 |
280313 |
1 |
6.00E-05 |
470.4623 |
93638 |
1.560633 |
1 |
0.53266 |
0.46734 |
335069.5 |
1 |
5.00E-05 |
553.5477 |
110157 |
1.83595 |
1 |
0.507537 |
0.492463 |
416923.9 |
1 |
4.00E-05 |
712.1759 |
141773 |
2.362883 |
1 |
0.492463 |
0.507537 |
544859.7 |
1 |
3.00E-05 |
931.4121 |
185351 |
3.089183 |
1 |
0.462313 |
0.537687 |
809301.8 |
1 |
2.00E-05 |
1391.573 |
276939 |
4.61565 |
1 |
0.457287 |
0.542713 |
1616243 |
1 |
1.00E-05 |
2720.95 |
541472 |
9.024533 |
1 |
0.527638 |
0.472362 |
1754074 |
1 |
9.00E-06 |
3027.362 |
602445 |
10.04075 |
1 |
0.487437 |
0.512563 |
1963808 |
1 |
8.00E-06 |
3364.889 |
669615 |
11.16025 |
1 |
0.547738 |
0.452262 |
2284711 |
1 |
7.00E-06 |
3762.799 |
748797 |
12.47995 |
1 |
0.432162 |
0.567838 |
2631248 |
1 |
6.00E-06 |
4358.884 |
867418 |
14.45697 |
1 |
0.442212 |
0.557788 |
3173364 |
1 |
5.00E-06 |
5300.457 |
1054793 |
17.57988 |
1 |
0.507538 |
0.492462 |
3927128 |
1 |
4.00E-06 |
6803.618 |
1353921 |
22.56535 |
1 |
0.477387 |
0.522613 |
5237892 |
1 |
3.00E-06 |
7841.457 |
1560465 |
26.00775 |
1 |
0.396985 |
0.603015 |
7909708 |
1 |
2.00E-06 |
13046.52 |
2596272 |
43.2712 |
1 |
0.467337 |
0.532663 |
1.59E+07 |
1 |
1.00E-06 |
25892.07 |
5152523 |
85.87538 |
1 |
fa90fa |
||||||||
测试集 |
0.3 |
fa |
||||||
0.7 |
90fa |
|||||||
f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
0.526581 |
0.530115 |
119.7337 |
0.711712 |
0.5 |
2.045226 |
407 |
0.006783 |
1 |
0.522076 |
0.483264 |
353.1307 |
0.995493 |
0.4 |
2.125628 |
423 |
0.00705 |
1 |
0.520863 |
0.480805 |
464.4573 |
1 |
0.3 |
2.201005 |
438 |
0.0073 |
1 |
0.523406 |
0.476828 |
574.5779 |
1 |
0.2 |
2.040201 |
406 |
0.006767 |
1 |
0.490214 |
0.510307 |
789.7437 |
1 |
0.1 |
2.532663 |
520 |
0.008667 |
1 |
0.581335 |
0.418703 |
2992.181 |
1 |
0.01 |
5.994975 |
1193 |
0.019883 |
1 |
0.467401 |
0.5326 |
19734.79 |
1 |
0.001 |
33.96482 |
6759 |
0.11265 |
1 |
0.442223 |
0.557778 |
170339.3 |
1 |
1.00E-04 |
278.8844 |
55498 |
0.924967 |
1 |
0.4171 |
0.5829 |
193358.2 |
1 |
9.00E-05 |
316.7789 |
63040 |
1.050667 |
1 |
0.512561 |
0.487439 |
210133.1 |
1 |
8.00E-05 |
348.7085 |
69394 |
1.156567 |
1 |
0.532659 |
0.467341 |
241907 |
1 |
7.00E-05 |
415.2412 |
82636 |
1.377267 |
1 |
0.482414 |
0.517586 |
276559.3 |
1 |
6.00E-05 |
461.4121 |
91822 |
1.530367 |
1 |
0.522611 |
0.477389 |
331354.3 |
1 |
5.00E-05 |
551.2362 |
109696 |
1.828267 |
1 |
0.482414 |
0.517587 |
412179.2 |
1 |
4.00E-05 |
686.8794 |
136704 |
2.2784 |
1 |
0.532661 |
0.467339 |
547005 |
1 |
3.00E-05 |
901.402 |
179379 |
2.98965 |
1 |
0.522612 |
0.477388 |
818629.8 |
1 |
2.00E-05 |
1357.457 |
270134 |
4.502233 |
1 |
0.472362 |
0.527638 |
1610707 |
1 |
1.00E-05 |
2674.236 |
532173 |
8.86955 |
1 |
0.507538 |
0.492462 |
1764101 |
1 |
9.00E-06 |
2873.342 |
571795 |
9.529917 |
1 |
0.517588 |
0.482412 |
1985273 |
1 |
8.00E-06 |
3326.422 |
661958 |
11.03263 |
1 |
0.472362 |
0.527638 |
2282847 |
1 |
7.00E-06 |
3824.387 |
761053 |
12.68422 |
1 |
0.482412 |
0.517588 |
2661392 |
1 |
6.00E-06 |
4453.96 |
886354 |
14.77257 |
1 |
0.592964 |
0.407036 |
3176851 |
1 |
5.00E-06 |
5311.141 |
1056917 |
17.61528 |
1 |
0.552763 |
0.447237 |
3967423 |
1 |
4.00E-06 |
6626.93 |
1318759 |
21.97932 |
1 |
0.527638 |
0.472362 |
5191960 |
1 |
3.00E-06 |
8756.98 |
1742640 |
29.044 |
1 |
0.522613 |
0.477387 |
7753992 |
1 |
2.00E-06 |
13257.36 |
2638216 |
43.97027 |
1 |
0.462312 |
0.537688 |
1.58E+07 |
1 |
1.00E-06 |
24996.18 |
4974240 |
82.904 |
1 |