Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.127693 | 0.164354 | 0.190213 | 0.503847 | 0.376407 | 0.383356 |
Maximal Error | 0.325139 | 0.565471 | 0.561247 | 1.02471 | 1.07637 | 1.05846 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.161419 | 0.210905 | 0.234495 | 0.518131 | 0.390226 | 0.378914 |
Maximal Error | 0.386763 | 0.661901 | 0.608937 | 1.05145 | 1.06842 | 1.05787 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.111079 | 0.135077 | 0.16064 | 0.5185 | 0.364668 | 0.371227 |
Maximal Error | 0.240928 | 0.552939 | 0.53451 | 1.07399 | 1.1976 | 1.18873 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.135329 | 0.152048 | 0.20861 | 0.535072 | 0.301738 | 0.302234 |
Maximal Error | 0.343369 | 0.529557 | 0.616198 | 1.05517 | 1.06322 | 1.01296 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.0628037 | 0.0888262 | 0.143872 | 0.460783 | 0.313758 | 0.335049 |
Maximal Error | 0.18566 | 0.44687 | 0.451267 | 0.932894 | 0.943816 | 0.94301 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs |
Average Error | 0.127552 | 0.169005 | 0.180892 | 0.450688 | 0.416995 | 0.432688 |
Maximal Error | 0.348307 | 0.573285 | 0.554248 | 0.953268 | 1.06374 | 1.04269 |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | |
cat0_to_384 | Ave=0.0542528 Max=0.115191 Dense |
Ave=0.0576179 Max=0.111417 Dense Sparse |
Ave=0.0919025 Max=0.373372 Dense |
Ave=0.051744 Max=0.126603 Dense Sparse |
Ave=0.390108 Max=1.14061 Dense Sparse |
Ave=0.358144 Max=1.0196 Dense Sparse |
cat1_to_horse15 | Ave=0.114617 Max=0.265694 Dense |
Ave=0.244583 Max=0.783394 Dense Sparse |
Ave=0.144712 Max=0.397348 Dense |
Ave=0.345458 Max=0.785398 Dense Sparse |
Ave=0.359747 Max=1.39108 Dense Sparse |
Ave=0.31242 Max=1.50962 Dense Sparse |
cat2_to_wolf0 | Ave=0.0716051 Max=0.164664 Dense |
Ave=0.106074 Max=0.302429 Dense Sparse |
Ave=0.331691 Max=0.718869 Dense |
Ave=0.725791 Max=1.16241 Dense Sparse |
Ave=0.250474 Max=0.86724 Dense Sparse |
Ave=0.2576 Max=1.20545 Dense Sparse |
cat3_to_396 | Ave=0.093836 Max=0.232404 Dense |
Ave=0.136619 Max=0.755209 Dense Sparse |
Ave=0.149266 Max=0.461526 Dense |
Ave=0.7483 Max=1.25397 Dense Sparse |
Ave=0.706017 Max=1.09815 Dense Sparse |
Ave=0.702957 Max=1.10662 Dense Sparse |
cat4_to_394 | Ave=0.0933693 Max=0.224573 Dense |
Ave=0.28166 Max=0.897972 Dense Sparse |
Ave=0.164694 Max=0.538887 Dense |
Ave=0.293632 Max=0.875203 Dense Sparse |
Ave=0.287977 Max=1.15839 Dense Sparse |
Ave=0.292817 Max=1.15839 Dense Sparse |
cat5_to_dog8 | Ave=0.0878782 Max=0.190642 Dense |
Ave=0.0805755 Max=0.153227 Dense Sparse |
Ave=0.135449 Max=0.424474 Dense |
Ave=0.534407 Max=1.1375 Dense Sparse |
Ave=0.311535 Max=0.969173 Dense Sparse |
Ave=0.295318 Max=0.969173 Dense Sparse |
cat6_to_387 | Ave=0.181897 Max=0.635061 Dense |
Ave=0.141318 Max=0.274024 Dense Sparse |
Ave=0.216334 Max=0.620228 Dense |
Ave=0.3152 Max=1.24858 Dense Sparse |
Ave=0.425042 Max=1.37672 Dense Sparse |
Ave=0.406911 Max=1.37672 Dense Sparse |
cat7_to_dog5 | Ave=0.142807 Max=0.643259 Dense |
Ave=0.139982 Max=0.724748 Dense Sparse |
Ave=0.162633 Max=0.609723 Dense |
Ave=0.760937 Max=1.33372 Dense Sparse |
Ave=0.312469 Max=1.34421 Dense Sparse |
Ave=0.32 Max=1.34421 Dense Sparse |
cat8_to_dog1 | Ave=0.0790449 Max=0.148273 Dense |
Ave=0.124601 Max=0.75018 Dense Sparse |
Ave=0.118802 Max=0.413508 Dense |
Ave=0.658632 Max=1.17964 Dense Sparse |
Ave=0.306357 Max=0.959836 Dense Sparse |
Ave=0.331594 Max=0.959836 Dense Sparse |
cat9_to_382 | Ave=0.148421 Max=0.360171 Dense |
Ave=0.225033 Max=0.867942 Dense Sparse |
Ave=0.276334 Max=0.840809 Dense |
Ave=0.432334 Max=0.953667 Dense Sparse |
Ave=0.360383 Max=0.998807 Dense Sparse |
Ave=0.350684 Max=1.02312 Dense Sparse |
cat10_to_horse6 | Ave=0.0951362 Max=0.211467 Dense |
Ave=0.11357 Max=0.235973 Dense Sparse |
Ave=0.140955 Max=0.51597 Dense |
Ave=0.637315 Max=1.45462 Dense Sparse |
Ave=0.324795 Max=1.08095 Dense Sparse |
Ave=0.345412 Max=1.14392 Dense Sparse |
horse0_to_393 | Ave=0.0910199 Max=0.172253 Dense |
Ave=0.0911247 Max=0.173376 Dense Sparse |
Ave=0.135464 Max=0.623621 Dense |
Ave=0.237528 Max=1.16566 Dense Sparse |
Ave=0.373475 Max=1.31711 Dense Sparse |
Ave=0.35913 Max=1.31711 Dense Sparse |
horse5_to_wolf2 | Ave=0.0643298 Max=0.225175 Dense |
Ave=0.115401 Max=0.849706 Dense Sparse |
Ave=0.114931 Max=0.375125 Dense |
Ave=0.721964 Max=1.27239 Dense Sparse |
Ave=0.621917 Max=1.08966 Dense Sparse |
Ave=0.691189 Max=1.10748 Dense Sparse |
horse6_to_dog6 | Ave=0.046633 Max=0.1854 Dense |
Ave=0.0535533 Max=0.21929 Dense Sparse |
Ave=0.120124 Max=0.519368 Dense |
Ave=0.849156 Max=1.39371 Dense Sparse |
Ave=0.217821 Max=1.18306 Dense Sparse |
Ave=0.214766 Max=1.18306 Dense Sparse |
horse7_to_398 (Excluded) |
Ave=0.0800216 Max=0.29411 Dense |
Ave=0.0537081 Max=0.15301 Dense Sparse |
Ave=0.133717 Max=0.467293 Dense |
Ave=0.694107 Max=1.25382 Dense Sparse |
Ave=0.242889 Max=1.0123 Dense Sparse |
XXX |
horse10_to_393 | Ave=0.0910279 Max=0.170832 Dense |
Ave=0.303451 Max=1.1777 Dense Sparse |
Ave=0.146055 Max=0.584499 Dense |
Ave=0.0784146 Max=0.149784 Dense Sparse |
Ave=0.348469 Max=1.31928 Dense Sparse |
Ave=0.346778 Max=1.31928 Dense Sparse |
horse14_to_386 | Ave=0.0735275 Max=0.287858 Dense |
Ave=0.161061 Max=0.916452 Dense Sparse |
Ave=0.130276 Max=0.464809 Dense |
Ave=0.323588 Max=0.866281 Dense Sparse |
Ave=0.534917 Max=1.10256 Dense Sparse |
Ave=0.697948 Max=1.12019 Dense Sparse |
horse15_to_dog6 | Ave=0.0531242 Max=0.189266 Dense |
Ave=0.0606826 Max=0.145891 Dense Sparse |
Ave=0.0998366 Max=0.470733 Dense |
Ave=0.239894 Max=0.901329 Dense Sparse |
Ave=0.221158 Max=0.780693 Dense Sparse |
Ave=0.284925 Max=0.872759 Dense Sparse |
horse17_to_cat9 | Ave=0.605631 Max=0.89015 Dense |
Ave=0.18679 Max=0.862469 Dense Sparse |
Ave=0.618178 Max=0.947557 Dense |
Ave=0.289387 Max=0.989174 Dense Sparse |
Ave=0.347372 Max=1.3408 Dense Sparse |
Ave=0.247698 Max=1.00286 Dense Sparse |
dog0_to_horse14 | Ave=0.0619472 Max=0.128542 Dense |
Ave=0.0665603 Max=0.1319 Dense Sparse |
Ave=0.10972 Max=0.497234 Dense |
Ave=0.843728 Max=1.34311 Dense Sparse |
Ave=0.264491 Max=1.22286 Dense Sparse |
Ave=0.298728 Max=1.29749 Dense Sparse |
dog1_to_horse15 | Ave=0.069908 Max=0.146562 Dense |
Ave=0.121267 Max=0.29761 Dense Sparse |
Ave=0.149228 Max=0.640509 Dense |
Ave=0.273797 Max=0.798644 Dense Sparse |
Ave=0.276593 Max=1.33528 Dense Sparse |
Ave=0.248329 Max=1.31948 Dense Sparse |
dog2_to_horse7 | Ave=0.0658107 Max=0.161107 Dense |
Ave=0.107232 Max=0.854815 Dense Sparse |
Ave=0.129778 Max=0.542673 Dense |
Ave=0.830963 Max=1.34301 Dense Sparse |
Ave=0.206402 Max=0.715494 Dense Sparse |
Ave=0.15586 Max=0.656101 Dense Sparse |
dog3_to_392 | Ave=0.0682132 Max=0.180682 Dense |
Ave=0.274095 Max=0.660785 Dense Sparse |
Ave=0.193985 Max=0.546839 Dense |
Ave=0.156388 Max=0.572598 Dense Sparse |
Ave=0.291874 Max=0.952667 Dense Sparse |
Ave=0.231165 Max=0.92989 Dense Sparse |
dog5_to_cat9 | Ave=0.0668186 Max=0.181674 Dense |
Ave=0.174916 Max=0.957217 Dense Sparse |
Ave=0.691767 Max=1.04946 Dense |
Ave=0.67947 Max=1.13651 Dense Sparse |
Ave=0.24057 Max=1.02775 Dense Sparse |
Ave=0.231244 Max=1.02775 Dense Sparse |
dog6_to_cat2 | Ave=0.414611 Max=0.717944 Dense |
Ave=0.69499 Max=1.09307 Dense Sparse |
Ave=0.235862 Max=0.734524 Dense |
Ave=0.721229 Max=1.24071 Dense Sparse |
Ave=0.300028 Max=0.842428 Dense Sparse |
Ave=0.299321 Max=0.842428 Dense Sparse |
dog7_to_385 | Ave=0.245768 Max=0.835448 Dense |
Ave=0.0781961 Max=0.224697 Dense Sparse |
Ave=0.196723 Max=0.765457 Dense |
Ave=0.7046 Max=1.38643 Dense Sparse |
Ave=0.262167 Max=1.03588 Dense Sparse |
Ave=0.25613 Max=1.03588 Dense Sparse |
dog8_to_385 | Ave=0.702209 Max=1.08333 Dense |
Ave=0.185482 Max=0.772405 Dense Sparse |
Ave=0.113173 Max=0.420222 Dense |
Ave=0.296207 Max=0.806287 Dense Sparse |
Ave=0.334679 Max=1.04066 Dense Sparse |
Ave=0.294241 Max=0.824915 Dense Sparse |
dog10_to_horse6 | Ave=0.0604291 Max=0.175696 Dense |
Ave=0.182104 Max=0.894591 Dense Sparse |
Ave=0.100029 Max=0.460486 Dense |
Ave=0.820786 Max=1.32752 Dense Sparse |
Ave=0.304387 Max=1.36077 Dense Sparse |
Ave=0.28896 Max=1.26615 Dense Sparse |
wolf0_to_dog0 | Ave=0.074795 Max=0.18365 Dense |
Ave=0.0769575 Max=0.114263 Dense Sparse |
Ave=0.118869 Max=0.440603 Dense |
Ave=0.280391 Max=0.835222 Dense Sparse |
Ave=0.27458 Max=1.17871 Dense Sparse |
Ave=0.164416 Max=0.774782 Dense Sparse |
wolf1_to_384 | Ave=0.0326398 Max=0.169716 Dense |
Ave=0.0434383 Max=0.228974 Dense Sparse |
Ave=0.0606109 Max=0.275198 Dense |
Ave=0.0400227 Max=0.225963 Dense Sparse |
Ave=0.204921 Max=0.787799 Dense Sparse |
Ave=0.285769 Max=0.787799 Dense Sparse |
wolf2_to_394 | Ave=0.0738687 Max=0.158597 Dense |
Ave=0.131228 Max=0.958349 Dense Sparse |
Ave=0.135833 Max=0.547887 Dense |
Ave=0.695097 Max=1.26828 Dense Sparse |
Ave=0.277846 Max=0.93555 Dense Sparse |
Ave=0.316784 Max=0.93555 Dense Sparse |
381_to_horse10 | Ave=0.061967 Max=0.162986 Dense |
Ave=0.0836972 Max=0.197978 Dense Sparse |
Ave=0.10967 Max=0.443203 Dense |
Ave=0.767028 Max=1.2453 Dense Sparse |
Ave=0.703807 Max=1.52679 Dense Sparse |
Ave=0.705038 Max=1.52679 Dense Sparse |
382_to_dog10 | Ave=0.0752927 Max=0.263087 Dense |
Ave=0.153642 Max=0.877854 Dense Sparse |
Ave=0.127804 Max=0.445045 Dense |
Ave=0.2868 Max=0.859448 Dense Sparse |
Ave=0.1674 Max=0.641931 Dense Sparse |
Ave=0.133269 Max=0.332686 Dense Sparse |
383_to_cat0 | Ave=0.0553761 Max=0.147798 Dense |
Ave=0.0921101 Max=0.268415 Dense Sparse |
Ave=0.107438 Max=0.396382 Dense |
Ave=0.332886 Max=0.687516 Dense Sparse |
Ave=0.441697 Max=0.798346 Dense Sparse |
Ave=0.451694 Max=0.870995 Dense Sparse |
384_to_dog5 | Ave=0.0704358 Max=0.268325 Dense |
Ave=0.0776522 Max=0.16513 Dense Sparse |
Ave=0.308995 Max=0.853909 Dense |
Ave=0.817937 Max=1.36898 Dense Sparse |
Ave=0.621778 Max=1.33532 Dense Sparse |
Ave=0.713945 Max=1.33532 Dense Sparse |
385_to_383 | Ave=0.0540444 Max=0.181392 Dense |
Ave=0.0691625 Max=0.193438 Dense Sparse |
Ave=0.106496 Max=0.270137 Dense |
Ave=0.675385 Max=1.2631 Dense Sparse |
Ave=0.187799 Max=0.916051 Dense Sparse |
Ave=0.213041 Max=0.916051 Dense Sparse |
386_to_387 | Ave=0.126689 Max=0.367716 Dense |
Ave=0.0977953 Max=0.21438 Dense Sparse |
Ave=0.153664 Max=0.466061 Dense |
Ave=0.728794 Max=1.34138 Dense Sparse |
Ave=0.747352 Max=1.39796 Dense Sparse |
Ave=0.750175 Max=1.39796 Dense Sparse |
387_to_cat10 | Ave=0.127379 Max=0.969455 Dense |
Ave=0.240864 Max=0.911109 Dense Sparse |
Ave=0.132936 Max=0.40778 Dense |
Ave=0.754792 Max=1.39281 Dense Sparse |
Ave=0.560928 Max=1.02993 Dense Sparse |
Ave=0.71561 Max=1.11974 Dense Sparse |
388_to_cat4 | Ave=0.098742 Max=0.232316 Dense |
Ave=0.1046 Max=0.278461 Dense Sparse |
Ave=0.126747 Max=0.405228 Dense |
Ave=0.117264 Max=0.554859 Dense Sparse |
Ave=0.173243 Max=0.600977 Dense Sparse |
Ave=0.201521 Max=0.600977 Dense Sparse |
389_to_381 | Ave=0.0487557 Max=0.128564 Dense |
Ave=0.136374 Max=0.70977 Dense Sparse |
Ave=0.0683388 Max=0.243575 Dense |
Ave=0.777945 Max=1.23731 Dense Sparse |
Ave=0.461001 Max=0.882486 Dense Sparse |
Ave=0.619546 Max=1.0552 Dense Sparse |
390_to_cat3 | Ave=0.0776548 Max=0.27004 Dense |
Ave=0.383487 Max=1.16365 Dense Sparse |
Ave=0.464919 Max=0.932374 Dense |
Ave=0.777312 Max=1.42855 Dense Sparse |
Ave=0.546681 Max=1.21679 Dense Sparse |
Ave=0.368995 Max=1.16552 Dense Sparse |
391_to_cat9 | Ave=0.0678179 Max=0.214645 Dense |
Ave=0.197964 Max=0.768548 Dense Sparse |
Ave=0.209863 Max=0.631816 Dense |
Ave=0.69274 Max=1.0754 Dense Sparse |
Ave=0.608547 Max=0.926985 Dense Sparse |
Ave=0.609334 Max=0.926985 Dense Sparse |
392_to_386 | Ave=0.105223 Max=0.39172 Dense |
Ave=0.386294 Max=0.774436 Dense Sparse |
Ave=0.17625 Max=0.526799 Dense |
Ave=0.377964 Max=0.876002 Dense Sparse |
Ave=0.629779 Max=1.00208 Dense Sparse |
Ave=0.640767 Max=1.06726 Dense Sparse |
393_to_dog5 | Ave=0.122797 Max=0.681331 Dense |
Ave=0.170868 Max=0.888653 Dense Sparse |
Ave=0.742952 Max=1.42266 Dense |
Ave=0.0881617 Max=0.224171 Dense Sparse |
Ave=0.539139 Max=1.27769 Dense Sparse |
Ave=0.748979 Max=1.27769 Dense Sparse |
394_to_cat2 | Ave=0.0890712 Max=0.272668 Dense |
Ave=0.374584 Max=1.03963 Dense Sparse |
Ave=0.238935 Max=0.746561 Dense |
Ave=0.373158 Max=0.78208 Dense Sparse |
Ave=0.317715 Max=1.21544 Dense Sparse |
Ave=0.265005 Max=0.79512 Dense Sparse |
395_to_390 (Excluded) |
Ave=0.166026 Max=0.432997 Dense |
Ave=0.28873 Max=1.40363 Dense Sparse |
Ave=0.239382 Max=0.846064 Dense |
Ave=0.819941 Max=1.43935 Dense Sparse |
Ave=0.784836 Max=1.65235 Dense Sparse |
XXX |
396_to_dog1 | Ave=0.0627233 Max=0.1598 Dense |
Ave=0.0655469 Max=0.135262 Dense Sparse |
Ave=0.107851 Max=0.450327 Dense |
Ave=0.322891 Max=0.859776 Dense Sparse |
Ave=0.279593 Max=0.996734 Dense Sparse |
Ave=0.231247 Max=0.996734 Dense Sparse |
397_to_394 | Ave=0.0766917 Max=0.213461 Dense |
Ave=0.107276 Max=0.237493 Dense Sparse |
Ave=0.147878 Max=0.505262 Dense |
Ave=0.767029 Max=1.34064 Dense Sparse |
Ave=0.26664 Max=1.09005 Dense Sparse |
Ave=0.258243 Max=1.09005 Dense Sparse |
398_to_cat9 (Excluded) |
Ave=0.0637235 Max=0.158675 Dense |
Ave=0.149751 Max=0.632989 Dense Sparse |
Ave=0.11554 Max=0.353998 Dense |
Ave=0.609695 Max=1.04461 Dense Sparse |
Ave=0.328194 Max=1.18766 Dense Sparse |
XXX |
399_to_cat2 | Ave=0.623823 Max=1.03393 Dense |
Ave=0.32707 Max=0.700833 Dense Sparse |
Ave=0.164973 Max=0.621286 Dense |
Ave=0.638754 Max=1.28159 Dense Sparse |
Ave=0.623057 Max=1.0522 Dense Sparse |
Ave=0.592915 Max=1.04628 Dense Sparse |
400_to_wolf0 | Ave=0.0595837 Max=0.212155 Dense |
Ave=0.0598582 Max=0.227498 Dense Sparse |
Ave=0.101299 Max=0.349918 Dense |
Ave=0.301432 Max=0.833101 Dense Sparse |
Ave=0.252808 Max=0.803935 Dense Sparse |
Ave=0.294534 Max=0.846999 Dense Sparse |
395_to_390 (1) | 398_to_cat9 (1) | horse7_to_398 (1) |