Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.034162 | 0.0984677 | 0.0840756 | 0.308529 | 0.239495 | 0.22871 |
Maximal Error | 0.31125 | 0.446499 | 0.53724 | 0.97009 | 1.27089 | 1.21384 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.0429963 | 0.0999533 | 0.102726 | 0.149015 | 0.189947 | 0.181499 |
Maximal Error | 0.207475 | 0.533004 | 0.460798 | 0.485472 | 0.879472 | 0.82029 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.0602307 | 0.0406538 | 0.0839941 | 0.145579 | 0.153793 | 0.120493 |
Maximal Error | 0.546046 | 0.362131 | 0.477646 | 0.618263 | 0.944531 | 0.895913 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.0290288 | 0.211845 | 0.0842856 | 0.246312 | 0.271014 | 0.179879 |
Maximal Error | 0.141289 | 0.727017 | 0.609431 | 0.87851 | 1.44829 | 1.30711 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.0369711 | 0.0499479 | 0.0970863 | 0.540326 | 0.23029 | 0.229084 |
Maximal Error | 0.230664 | 0.294243 | 0.512391 | 1.16177 | 1.15414 | 1.18216 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.0309295 | 0.0363288 | 0.0723188 | 0.364032 | 0.228642 | 0.190014 |
Maximal Error | 0.3297 | 0.188841 | 0.449263 | 1.05939 | 1.31934 | 1.16255 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.0234855 | 0.0342346 | 0.0661911 | 0.334968 | 0.169564 | 0.156836 |
Maximal Error | 0.120558 | 0.211632 | 0.51072 | 0.978106 | 1.17489 | 1.06562 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.0329491 | 0.13923 | 0.0869618 | 0.281964 | 0.267939 | 0.25928 |
Maximal Error | 0.325947 | 0.497807 | 0.608271 | 0.989057 | 1.4591 | 1.44282 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.0305686 | 0.112868 | 0.0790197 | 0.391837 | 0.326958 | 0.360233 |
Maximal Error | 0.603413 | 0.590651 | 0.598191 | 1.43518 | 1.58909 | 1.52402 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.00842215 | 0.0144519 | 0.0406828 | 0.36846 | 0.208127 | 0.24443 |
Maximal Error | 0.0777808 | 0.151459 | 0.313498 | 0.962075 | 0.958929 | 0.866402 |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | |
cat0_to_cat6 | Ave=0.051583 Max=0.225116 Dense |
Ave=0.0596654 Max=0.239712 Dense Sparse |
Ave=0.0899471 Max=0.359546 Dense |
Ave=0.232681 Max=0.649229 Dense Sparse |
Ave=0.383311 Max=0.98315 Dense Sparse |
Ave=0.273929 Max=0.735451 Dense Sparse |
cat1_to_cat10 | Ave=0.043349 Max=0.271927 Dense |
Ave=0.103164 Max=0.67455 Dense Sparse |
Ave=0.074127 Max=0.371199 Dense |
Ave=0.110157 Max=0.654293 Dense Sparse |
Ave=0.158108 Max=0.732389 Dense Sparse |
Ave=0.145372 Max=0.732389 Dense Sparse |
cat2_to_cat6 | Ave=0.0333473 Max=0.222152 Dense |
Ave=0.0402861 Max=0.382441 Dense Sparse |
Ave=0.0509785 Max=0.354849 Dense |
Ave=0.0446753 Max=0.283302 Dense Sparse |
Ave=0.137885 Max=1.07875 Dense Sparse |
Ave=0.0868674 Max=1.07875 Dense Sparse |
cat3_to_cat2 | Ave=0.0495791 Max=0.221769 Dense |
Ave=0.211942 Max=0.72469 Dense Sparse |
Ave=0.0779102 Max=0.376611 Dense |
Ave=0.207985 Max=0.698247 Dense Sparse |
Ave=0.223366 Max=0.814835 Dense Sparse |
Ave=0.21867 Max=0.814835 Dense Sparse |
cat4_to_cat1 | Ave=0.0214585 Max=0.0956718 Dense |
Ave=0.0584393 Max=0.437884 Dense Sparse |
Ave=0.0461152 Max=0.391872 Dense |
Ave=0.0359803 Max=0.240015 Dense Sparse |
Ave=0.171943 Max=0.626625 Dense Sparse |
Ave=0.199221 Max=0.626625 Dense Sparse |
cat5_to_cat4 | Ave=0.0404379 Max=0.207731 Dense |
Ave=0.112301 Max=0.698762 Dense Sparse |
Ave=0.0780366 Max=0.442848 Dense |
Ave=0.0646213 Max=0.321743 Dense Sparse |
Ave=0.151069 Max=0.77025 Dense Sparse |
Ave=0.186058 Max=0.97852 Dense Sparse |
cat6_to_cat3 | Ave=0.0571628 Max=0.231542 Dense |
Ave=0.141018 Max=0.639323 Dense Sparse |
Ave=0.206768 Max=0.687818 Dense |
Ave=0.105522 Max=0.296214 Dense Sparse |
Ave=0.163317 Max=1.03923 Dense Sparse |
Ave=0.154592 Max=0.690677 Dense Sparse |
cat7_to_cat1 | Ave=0.0768488 Max=0.252887 Dense |
Ave=0.113492 Max=0.582483 Dense Sparse |
Ave=0.121667 Max=0.482038 Dense |
Ave=0.286391 Max=0.626169 Dense Sparse |
Ave=0.169386 Max=0.982 Dense Sparse |
Ave=0.161051 Max=0.982 Dense Sparse |
cat8_to_cat7 | Ave=0.0331693 Max=0.25581 Dense |
Ave=0.0411643 Max=0.212211 Dense Sparse |
Ave=0.058031 Max=0.291741 Dense |
Ave=0.0415944 Max=0.150255 Dense Sparse |
Ave=0.160888 Max=0.62101 Dense Sparse |
Ave=0.204577 Max=0.77796 Dense Sparse |
cat9_to_cat5 | Ave=0.033146 Max=0.122133 Dense |
Ave=0.135183 Max=0.62746 Dense Sparse |
Ave=0.162599 Max=0.674236 Dense |
Ave=0.284634 Max=0.732058 Dense Sparse |
Ave=0.189063 Max=0.888496 Dense Sparse |
Ave=0.195894 Max=0.841636 Dense Sparse |
cat10_to_cat3 | Ave=0.0328778 Max=0.175487 Dense |
Ave=0.0828317 Max=0.643532 Dense Sparse |
Ave=0.163806 Max=0.636019 Dense |
Ave=0.224929 Max=0.688664 Dense Sparse |
Ave=0.181082 Max=1.13746 Dense Sparse |
Ave=0.170261 Max=0.764342 Dense Sparse |
centaur0_to_centaur5 | Ave=0.0182938 Max=0.111098 Dense |
Ave=0.0307983 Max=0.165039 Dense Sparse |
Ave=0.0794758 Max=0.501054 Dense |
Ave=0.0324711 Max=0.154511 Dense Sparse |
Ave=0.135755 Max=0.949281 Dense Sparse |
Ave=0.0979367 Max=0.949281 Dense Sparse |
centaur1_to_centaur4 | Ave=0.0673759 Max=0.778481 Dense |
Ave=0.0440688 Max=0.210611 Dense Sparse |
Ave=0.0848083 Max=0.430374 Dense |
Ave=0.262743 Max=0.83931 Dense Sparse |
Ave=0.191805 Max=0.957437 Dense Sparse |
Ave=0.150201 Max=0.819629 Dense Sparse |
centaur2_to_centaur0 | Ave=0.0513766 Max=0.570865 Dense |
Ave=0.0301913 Max=0.162134 Dense Sparse |
Ave=0.0907269 Max=0.480816 Dense |
Ave=0.0399024 Max=0.167548 Dense Sparse |
Ave=0.123181 Max=0.864636 Dense Sparse |
Ave=0.0741086 Max=0.881775 Dense Sparse |
centaur3_to_centaur0 | Ave=0.0198047 Max=0.0878335 Dense |
Ave=0.0393966 Max=0.471322 Dense Sparse |
Ave=0.0939458 Max=0.488307 Dense |
Ave=0.118033 Max=0.884433 Dense Sparse |
Ave=0.13625 Max=1.07969 Dense Sparse |
Ave=0.122138 Max=1.07969 Dense Sparse |
centaur4_to_centaur5 | Ave=0.0657782 Max=0.718276 Dense |
Ave=0.0368012 Max=0.184579 Dense Sparse |
Ave=0.0813935 Max=0.494559 Dense |
Ave=0.217904 Max=0.819127 Dense Sparse |
Ave=0.124743 Max=0.832976 Dense Sparse |
Ave=0.0864696 Max=0.824143 Dense Sparse |
centaur5_to_centaur2 | Ave=0.138755 Max=1.00972 Dense |
Ave=0.0626668 Max=0.9791 Dense Sparse |
Ave=0.0736143 Max=0.470765 Dense |
Ave=0.202421 Max=0.844649 Dense Sparse |
Ave=0.211023 Max=0.983163 Dense Sparse |
Ave=0.192105 Max=0.820957 Dense Sparse |
david0_to_david12 | Ave=0.0151656 Max=0.132396 Dense |
Ave=0.0145146 Max=0.138697 Dense Sparse |
Ave=0.0618711 Max=0.624659 Dense |
Ave=0.0266473 Max=0.14137 Dense Sparse |
Ave=0.382793 Max=1.57747 Dense Sparse |
Ave=0.241707 Max=1.57747 Dense Sparse |
david1_to_david6 | Ave=0.0458398 Max=0.159656 Dense |
Ave=0.0565514 Max=0.211152 Dense Sparse |
Ave=0.0934626 Max=0.672403 Dense |
Ave=0.0586979 Max=0.268265 Dense Sparse |
Ave=0.216607 Max=1.51651 Dense Sparse |
Ave=0.0818844 Max=1.15969 Dense Sparse |
david6_to_david12 | Ave=0.0334443 Max=0.153408 Dense |
Ave=0.0358331 Max=0.212238 Dense Sparse |
Ave=0.0797265 Max=0.538586 Dense |
Ave=0.50857 Max=1.44983 Dense Sparse |
Ave=0.404087 Max=1.4194 Dense Sparse |
Ave=0.256639 Max=1.3146 Dense Sparse |
david10_to_david12 | Ave=0.0280337 Max=0.131161 Dense |
Ave=0.546177 Max=1.45873 Dense Sparse |
Ave=0.0742647 Max=0.538864 Dense |
Ave=0.0516569 Max=0.200247 Dense Sparse |
Ave=0.188121 Max=1.38046 Dense Sparse |
Ave=0.0819965 Max=1.2874 Dense Sparse |
david11_to_david13 | Ave=0.0230992 Max=0.145598 Dense |
Ave=0.0289601 Max=0.185185 Dense Sparse |
Ave=0.0815261 Max=0.624896 Dense |
Ave=0.336607 Max=1.44199 Dense Sparse |
Ave=0.208251 Max=1.42482 Dense Sparse |
Ave=0.333654 Max=1.44707 Dense Sparse |
david12_to_david1 | Ave=0.0345013 Max=0.137392 Dense |
Ave=0.515311 Max=1.42439 Dense Sparse |
Ave=0.0967944 Max=0.65747 Dense |
Ave=0.252054 Max=1.20018 Dense Sparse |
Ave=0.206166 Max=1.40168 Dense Sparse |
Ave=0.0785787 Max=1.10708 Dense Sparse |
david13_to_david12 | Ave=0.023118 Max=0.129411 Dense |
Ave=0.28557 Max=1.45873 Dense Sparse |
Ave=0.102354 Max=0.60914 Dense |
Ave=0.489952 Max=1.44769 Dense Sparse |
Ave=0.29107 Max=1.41768 Dense Sparse |
Ave=0.18469 Max=1.25647 Dense Sparse |
dog0_to_dog6 | Ave=0.0261652 Max=0.214726 Dense |
Ave=0.0337433 Max=0.1505 Dense Sparse |
Ave=0.0867917 Max=0.568118 Dense |
Ave=0.301287 Max=0.835605 Dense Sparse |
Ave=0.126109 Max=0.982611 Dense Sparse |
Ave=0.122008 Max=1.34201 Dense Sparse |
dog1_to_dog0 | Ave=0.0270723 Max=0.231561 Dense |
Ave=0.048395 Max=0.251976 Dense Sparse |
Ave=0.105043 Max=0.502538 Dense |
Ave=0.65926 Max=1.25037 Dense Sparse |
Ave=0.205407 Max=1.20576 Dense Sparse |
Ave=0.233489 Max=1.16802 Dense Sparse |
dog2_to_dog0 | Ave=0.0257799 Max=0.161103 Dense |
Ave=0.0355511 Max=0.196997 Dense Sparse |
Ave=0.0818054 Max=0.522737 Dense |
Ave=0.385989 Max=0.981552 Dense Sparse |
Ave=0.178136 Max=1.19961 Dense Sparse |
Ave=0.125517 Max=1.19993 Dense Sparse |
dog3_to_dog6 | Ave=0.0259152 Max=0.152867 Dense |
Ave=0.0453295 Max=0.254378 Dense Sparse |
Ave=0.0815267 Max=0.617966 Dense |
Ave=0.722216 Max=1.39966 Dense Sparse |
Ave=0.180997 Max=1.35668 Dense Sparse |
Ave=0.132579 Max=1.35721 Dense Sparse |
dog5_to_dog3 | Ave=0.0250938 Max=0.191005 Dense |
Ave=0.0404039 Max=0.263313 Dense Sparse |
Ave=0.0866688 Max=0.473791 Dense |
Ave=0.707258 Max=1.38667 Dense Sparse |
Ave=0.196621 Max=1.12858 Dense Sparse |
Ave=0.177053 Max=1.12163 Dense Sparse |
dog6_to_dog1 | Ave=0.0419598 Max=0.173645 Dense |
Ave=0.071071 Max=0.399645 Dense Sparse |
Ave=0.114958 Max=0.552688 Dense |
Ave=0.702069 Max=1.27784 Dense Sparse |
Ave=0.573099 Max=1.15168 Dense Sparse |
Ave=0.584822 Max=1.07319 Dense Sparse |
dog7_to_dog8 | Ave=0.039542 Max=0.295387 Dense |
Ave=0.016557 Max=0.121885 Dense Sparse |
Ave=0.0614531 Max=0.346312 Dense |
Ave=0.250725 Max=0.873685 Dense Sparse |
Ave=0.173275 Max=0.974526 Dense Sparse |
Ave=0.215446 Max=1.00278 Dense Sparse |
dog8_to_dog5 | Ave=0.063917 Max=0.352945 Dense |
Ave=0.0800722 Max=0.258704 Dense Sparse |
Ave=0.135809 Max=0.545706 Dense |
Ave=0.708631 Max=1.4485 Dense Sparse |
Ave=0.245082 Max=1.37275 Dense Sparse |
Ave=0.251484 Max=1.37275 Dense Sparse |
dog10_to_dog8 | Ave=0.0572949 Max=0.302736 Dense |
Ave=0.0784079 Max=0.75079 Dense Sparse |
Ave=0.119721 Max=0.481663 Dense |
Ave=0.425503 Max=1.00203 Dense Sparse |
Ave=0.193884 Max=1.01504 Dense Sparse |
Ave=0.219359 Max=1.00195 Dense Sparse |
gorilla1_to_gorilla5 | Ave=0.0198626 Max=0.0762007 Dense |
Ave=0.0324438 Max=0.198474 Dense Sparse |
Ave=0.0648391 Max=0.416223 Dense |
Ave=0.482941 Max=1.28447 Dense Sparse |
Ave=0.358418 Max=1.36243 Dense Sparse |
Ave=0.424994 Max=1.39425 Dense Sparse |
gorilla5_to_gorilla14 | Ave=0.0386425 Max=0.424303 Dense |
Ave=0.0419241 Max=0.188469 Dense Sparse |
Ave=0.0829849 Max=0.490544 Dense |
Ave=0.494098 Max=1.319 Dense Sparse |
Ave=0.145512 Max=1.31265 Dense Sparse |
Ave=0.121412 Max=1.28602 Dense Sparse |
gorilla8_to_gorilla1 | Ave=0.0319106 Max=0.124066 Dense |
Ave=0.0389082 Max=0.206029 Dense Sparse |
Ave=0.0781333 Max=0.511693 Dense |
Ave=0.429481 Max=1.35947 Dense Sparse |
Ave=0.258436 Max=1.3836 Dense Sparse |
Ave=0.127565 Max=0.911946 Dense Sparse |
gorilla14_to_gorilla8 | Ave=0.0333024 Max=0.694232 Dense |
Ave=0.0320392 Max=0.16239 Dense Sparse |
Ave=0.063318 Max=0.378592 Dense |
Ave=0.0496076 Max=0.274606 Dense Sparse |
Ave=0.152202 Max=1.21869 Dense Sparse |
Ave=0.0860832 Max=1.058 Dense Sparse |
horse0_to_horse10 | Ave=0.0105245 Max=0.0634653 Dense |
Ave=0.0168567 Max=0.168207 Dense Sparse |
Ave=0.0379367 Max=0.430427 Dense |
Ave=0.0194669 Max=0.113716 Dense Sparse |
Ave=0.0991999 Max=0.846741 Dense Sparse |
Ave=0.0603432 Max=0.846741 Dense Sparse |
horse5_to_horse7 | Ave=0.0349788 Max=0.158512 Dense |
Ave=0.0454406 Max=0.20138 Dense Sparse |
Ave=0.0701715 Max=0.502989 Dense |
Ave=0.704897 Max=1.42731 Dense Sparse |
Ave=0.191797 Max=1.1726 Dense Sparse |
Ave=0.152855 Max=1.1726 Dense Sparse |
horse6_to_horse14 | Ave=0.0189204 Max=0.08183 Dense |
Ave=0.0261643 Max=0.342745 Dense Sparse |
Ave=0.053675 Max=0.488097 Dense |
Ave=0.25681 Max=0.982239 Dense Sparse |
Ave=0.209945 Max=1.34633 Dense Sparse |
Ave=0.243171 Max=1.25601 Dense Sparse |
horse7_to_horse15 | Ave=0.0325881 Max=0.114682 Dense |
Ave=0.0517029 Max=0.195148 Dense Sparse |
Ave=0.127908 Max=0.820749 Dense |
Ave=0.217632 Max=0.951636 Dense Sparse |
Ave=0.168133 Max=1.38086 Dense Sparse |
Ave=0.128501 Max=1.11576 Dense Sparse |
horse10_to_horse7 | Ave=0.0249021 Max=0.150918 Dense |
Ave=0.0341028 Max=0.175572 Dense Sparse |
Ave=0.0602426 Max=0.457443 Dense |
Ave=0.735882 Max=1.438 Dense Sparse |
Ave=0.180352 Max=1.42638 Dense Sparse |
Ave=0.127823 Max=0.910002 Dense Sparse |
horse14_to_horse10 | Ave=0.0220549 Max=0.170485 Dense |
Ave=0.0277415 Max=0.154319 Dense Sparse |
Ave=0.0522811 Max=0.440166 Dense |
Ave=0.259214 Max=0.948516 Dense Sparse |
Ave=0.134413 Max=1.29136 Dense Sparse |
Ave=0.0814395 Max=1.29136 Dense Sparse |
horse15_to_horse10 | Ave=0.018219 Max=0.0837302 Dense |
Ave=0.0369083 Max=0.237504 Dense Sparse |
Ave=0.0585466 Max=0.465487 Dense |
Ave=0.214348 Max=0.980509 Dense Sparse |
Ave=0.203575 Max=0.972934 Dense Sparse |
Ave=0.254913 Max=0.970577 Dense Sparse |
horse17_to_horse5 | Ave=0.0256965 Max=0.14084 Dense |
Ave=0.0349599 Max=0.218182 Dense Sparse |
Ave=0.0687674 Max=0.480402 Dense |
Ave=0.271494 Max=0.982922 Dense Sparse |
Ave=0.169098 Max=0.96195 Dense Sparse |
Ave=0.205645 Max=0.96195 Dense Sparse |
michael0_to_michael2 | Ave=0.0288037 Max=1.00639 Dense |
Ave=0.0457813 Max=0.217145 Dense Sparse |
Ave=0.110352 Max=0.72688 Dense |
Ave=0.336531 Max=1.49661 Dense Sparse |
Ave=0.306761 Max=1.47464 Dense Sparse |
Ave=0.436816 Max=1.47878 Dense Sparse |
michael1_to_michael10 | Ave=0.0364254 Max=0.114023 Dense |
Ave=0.547468 Max=1.53718 Dense Sparse |
Ave=0.102432 Max=0.62874 Dense |
Ave=0.294641 Max=1.19812 Dense Sparse |
Ave=0.237253 Max=1.56236 Dense Sparse |
Ave=0.101574 Max=1.51439 Dense Sparse |
michael2_to_michael16 | Ave=0.0427193 Max=0.47206 Dense |
Ave=0.0471836 Max=0.235348 Dense Sparse |
Ave=0.0848162 Max=0.588388 Dense |
Ave=0.0504166 Max=1.05955 Dense Sparse |
Ave=0.222523 Max=1.51067 Dense Sparse |
Ave=0.0931369 Max=1.51067 Dense Sparse |
michael3_to_michael1 | Ave=0.0192354 Max=0.103337 Dense |
Ave=0.0271732 Max=0.170271 Dense Sparse |
Ave=0.0568648 Max=0.527492 Dense |
Ave=0.488891 Max=1.47051 Dense Sparse |
Ave=0.426053 Max=1.45597 Dense Sparse |
Ave=0.489839 Max=1.48456 Dense Sparse |
michael4_to_michael5 | Ave=0.0212739 Max=0.0872308 Dense |
Ave=0.0431449 Max=0.263449 Dense Sparse |
Ave=0.077083 Max=0.627942 Dense |
Ave=0.504653 Max=1.51759 Dense Sparse |
Ave=0.158757 Max=1.49476 Dense Sparse |
Ave=0.352635 Max=1.5011 Dense Sparse |
michael5_to_michael7 | Ave=0.0290637 Max=0.0990729 Dense |
Ave=0.530868 Max=1.52226 Dense Sparse |
Ave=0.0737388 Max=0.549153 Dense |
Ave=0.0472293 Max=0.193834 Dense Sparse |
Ave=0.202021 Max=1.53265 Dense Sparse |
Ave=0.0860854 Max=1.53265 Dense Sparse |
michael6_to_michael16 | Ave=0.0567787 Max=0.537516 Dense |
Ave=0.036334 Max=0.212595 Dense Sparse |
Ave=0.0774922 Max=0.524727 Dense |
Ave=0.229496 Max=1.22729 Dense Sparse |
Ave=0.319829 Max=1.41115 Dense Sparse |
Ave=0.447202 Max=1.44832 Dense Sparse |
michael7_to_michael6 | Ave=0.0308232 Max=0.119586 Dense |
Ave=0.0454459 Max=0.623881 Dense Sparse |
Ave=0.0911178 Max=0.646529 Dense |
Ave=0.49093 Max=1.49427 Dense Sparse |
Ave=0.469332 Max=1.59335 Dense Sparse |
Ave=0.3421 Max=1.48515 Dense Sparse |
michael8_to_michael9 | Ave=0.0253481 Max=0.115985 Dense |
Ave=0.0393798 Max=0.212752 Dense Sparse |
Ave=0.0577961 Max=0.490373 Dense |
Ave=0.0394615 Max=0.152725 Dense Sparse |
Ave=0.232937 Max=1.53902 Dense Sparse |
Ave=0.0781886 Max=1.47666 Dense Sparse |
michael9_to_michael13 | Ave=0.0293311 Max=0.135557 Dense |
Ave=0.045913 Max=0.185555 Dense Sparse |
Ave=0.0878829 Max=0.598598 Dense |
Ave=0.495116 Max=1.47334 Dense Sparse |
Ave=0.266573 Max=1.59732 Dense Sparse |
Ave=0.119275 Max=1.5844 Dense Sparse |
michael10_to_michael17 | Ave=0.0396712 Max=0.111677 Dense |
Ave=0.561412 Max=1.48873 Dense Sparse |
Ave=0.0897083 Max=0.629758 Dense |
Ave=0.057313 Max=0.231852 Dense Sparse |
Ave=0.178705 Max=1.31643 Dense Sparse |
Ave=0.359872 Max=1.47938 Dense Sparse |
michael11_to_michael4 | Ave=0.0334171 Max=0.1253 Dense |
Ave=0.455659 Max=1.30172 Dense Sparse |
Ave=0.120492 Max=0.674454 Dense |
Ave=0.108495 Max=0.370272 Dense Sparse |
Ave=0.172742 Max=1.13806 Dense Sparse |
Ave=0.10625 Max=1.11578 Dense Sparse |
michael12_to_michael15 | Ave=0.0354309 Max=0.137349 Dense |
Ave=0.0420716 Max=0.223791 Dense Sparse |
Ave=0.0785478 Max=0.61938 Dense |
Ave=0.108723 Max=0.354466 Dense Sparse |
Ave=0.332693 Max=1.41866 Dense Sparse |
Ave=0.202479 Max=1.26012 Dense Sparse |
michael13_to_michael2 | Ave=0.0391957 Max=0.997119 Dense |
Ave=0.0436311 Max=0.238557 Dense Sparse |
Ave=0.0950649 Max=0.658773 Dense |
Ave=0.493503 Max=1.49786 Dense Sparse |
Ave=0.224575 Max=1.42447 Dense Sparse |
Ave=0.366485 Max=1.47981 Dense Sparse |
michael14_to_michael5 | Ave=0.0349704 Max=0.142836 Dense |
Ave=0.0531812 Max=0.221253 Dense Sparse |
Ave=0.0960152 Max=0.638776 Dense |
Ave=0.0579306 Max=0.298615 Dense Sparse |
Ave=0.220129 Max=1.50584 Dense Sparse |
Ave=0.346441 Max=1.50584 Dense Sparse |
michael15_to_michael14 | Ave=0.0411319 Max=0.922919 Dense |
Ave=0.0633116 Max=0.318595 Dense Sparse |
Ave=0.11332 Max=0.650734 Dense |
Ave=0.531099 Max=1.46743 Dense Sparse |
Ave=0.169794 Max=1.32773 Dense Sparse |
Ave=0.0934625 Max=1.24871 Dense Sparse |
michael16_to_michael7 | Ave=0.0269325 Max=0.129498 Dense |
Ave=0.0424167 Max=0.304092 Dense Sparse |
Ave=0.0951958 Max=0.669215 Dense |
Ave=0.232711 Max=1.17725 Dense Sparse |
Ave=0.422126 Max=1.5282 Dense Sparse |
Ave=0.504625 Max=1.5282 Dense Sparse |
michael17_to_michael14 | Ave=0.0371933 Max=0.9188 Dense |
Ave=0.0407573 Max=0.229307 Dense Sparse |
Ave=0.0736985 Max=0.560104 Dense |
Ave=0.0317276 Max=0.152476 Dense Sparse |
Ave=0.177793 Max=1.43638 Dense Sparse |
Ave=0.0832141 Max=1.44235 Dense Sparse |
michael18_to_michael4 | Ave=0.0310391 Max=0.155839 Dense |
Ave=0.0434157 Max=0.231306 Dense Sparse |
Ave=0.0998557 Max=0.609574 Dense |
Ave=0.503361 Max=1.48702 Dense Sparse |
Ave=0.445047 Max=1.48393 Dense Sparse |
Ave=0.51234 Max=1.48393 Dense Sparse |
michael19_to_michael3 | Ave=0.0201974 Max=0.086847 Dense |
Ave=0.0300497 Max=0.218345 Dense Sparse |
Ave=0.0577621 Max=0.54582 Dense |
Ave=0.537051 Max=1.46006 Dense Sparse |
Ave=0.173127 Max=1.43034 Dense Sparse |
Ave=0.0635836 Max=1.29565 Dense Sparse |
victoria0_to_victoria2 | Ave=0.0228517 Max=1.27588 Dense |
Ave=0.0330116 Max=0.151363 Dense Sparse |
Ave=0.0637142 Max=0.620435 Dense |
Ave=0.191468 Max=1.25471 Dense Sparse |
Ave=0.287929 Max=1.51107 Dense Sparse |
Ave=0.403939 Max=1.51107 Dense Sparse |
victoria1_to_victoria17 | Ave=0.0332984 Max=0.791916 Dense |
Ave=0.0434939 Max=0.322622 Dense Sparse |
Ave=0.075312 Max=0.553719 Dense |
Ave=0.486615 Max=1.51923 Dense Sparse |
Ave=0.433071 Max=1.50352 Dense Sparse |
Ave=0.479943 Max=1.50352 Dense Sparse |
victoria2_to_victoria21 | Ave=0.0524995 Max=1.27457 Dense |
Ave=0.0723207 Max=0.394309 Dense Sparse |
Ave=0.11017 Max=0.654431 Dense |
Ave=0.380509 Max=1.58488 Dense Sparse |
Ave=0.320961 Max=1.55805 Dense Sparse |
Ave=0.479096 Max=1.57715 Dense Sparse |
victoria4_to_victoria0 | Ave=0.0174983 Max=0.0848443 Dense |
Ave=0.0253512 Max=0.165771 Dense Sparse |
Ave=0.0578552 Max=0.58308 Dense |
Ave=0.533049 Max=1.52063 Dense Sparse |
Ave=0.197981 Max=1.71139 Dense Sparse |
Ave=0.339399 Max=1.50578 Dense Sparse |
victoria7_to_victoria4 | Ave=0.0340028 Max=0.116945 Dense |
Ave=0.441255 Max=1.47448 Dense Sparse |
Ave=0.0952637 Max=0.590363 Dense |
Ave=0.485027 Max=1.55316 Dense Sparse |
Ave=0.306347 Max=1.70291 Dense Sparse |
Ave=0.166437 Max=1.70291 Dense Sparse |
victoria10_to_victoria25 | Ave=0.0210312 Max=0.105935 Dense |
Ave=0.0316855 Max=0.219659 Dense Sparse |
Ave=0.0689392 Max=0.603149 Dense |
Ave=0.336047 Max=1.58618 Dense Sparse |
Ave=0.206522 Max=1.56725 Dense Sparse |
Ave=0.0817638 Max=1.18537 Dense Sparse |
victoria12_to_victoria2 | Ave=0.0309587 Max=1.36302 Dense |
Ave=0.108409 Max=1.20353 Dense Sparse |
Ave=0.0756503 Max=0.604902 Dense |
Ave=0.520176 Max=1.54256 Dense Sparse |
Ave=0.208888 Max=1.76273 Dense Sparse |
Ave=0.23534 Max=1.78122 Dense Sparse |
victoria17_to_victoria0 | Ave=0.0167165 Max=0.0771651 Dense |
Ave=0.0241904 Max=0.126522 Dense Sparse |
Ave=0.0570179 Max=0.558363 Dense |
Ave=0.264851 Max=1.24084 Dense Sparse |
Ave=0.315023 Max=1.48403 Dense Sparse |
Ave=0.419996 Max=1.48744 Dense Sparse |
victoria21_to_victoria0 | Ave=0.0376092 Max=0.124776 Dense |
Ave=0.402894 Max=1.45066 Dense Sparse |
Ave=0.114104 Max=0.648503 Dense |
Ave=0.25062 Max=1.25657 Dense Sparse |
Ave=0.65065 Max=1.58894 Dense Sparse |
Ave=0.705536 Max=1.68451 Dense Sparse |
victoria23_to_victoria21 | Ave=0.0494084 Max=1.29105 Dense |
Ave=0.0924321 Max=1.1259 Dense Sparse |
Ave=0.097784 Max=0.667482 Dense |
Ave=0.198144 Max=1.12175 Dense Sparse |
Ave=0.35421 Max=1.54542 Dense Sparse |
Ave=0.491717 Max=1.58187 Dense Sparse |
victoria24_to_victoria0 | Ave=0.0239647 Max=0.0894714 Dense |
Ave=0.0364808 Max=0.142296 Dense Sparse |
Ave=0.0657877 Max=0.588684 Dense |
Ave=0.529383 Max=1.52247 Dense Sparse |
Ave=0.420974 Max=1.50283 Dense Sparse |
Ave=0.428006 Max=1.50533 Dense Sparse |
victoria25_to_victoria17 | Ave=0.0269839 Max=0.645379 Dense |
Ave=0.0428863 Max=0.310703 Dense Sparse |
Ave=0.0666385 Max=0.505179 Dense |
Ave=0.526154 Max=1.51923 Dense Sparse |
Ave=0.220935 Max=1.63092 Dense Sparse |
Ave=0.0916288 Max=1.26203 Dense Sparse |
wolf0_to_wolf1 | Ave=0.0053208 Max=0.0883482 Dense |
Ave=0.00670015 Max=0.101946 Dense Sparse |
Ave=0.0311681 Max=0.246418 Dense |
Ave=0.624385 Max=1.24389 Dense Sparse |
Ave=0.223332 Max=1.10759 Dense Sparse |
Ave=0.239465 Max=0.809803 Dense Sparse |
wolf1_to_wolf2 | Ave=0.00867894 Max=0.0655666 Dense |
Ave=0.0172345 Max=0.184186 Dense Sparse |
Ave=0.0445947 Max=0.344952 Dense |
Ave=0.232678 Max=0.811421 Dense Sparse |
Ave=0.199332 Max=0.969005 Dense Sparse |
Ave=0.244618 Max=0.969005 Dense Sparse |
wolf2_to_wolf0 | Ave=0.0112667 Max=0.0794276 Dense |
Ave=0.0194212 Max=0.168244 Dense Sparse |
Ave=0.0462856 Max=0.349124 Dense |
Ave=0.248316 Max=0.830913 Dense Sparse |
Ave=0.201716 Max=0.800191 Dense Sparse |
Ave=0.249206 Max=0.820397 Dense Sparse |