SpamBase (20% of outliers version#07)
A data set representing emails classified as spam (outliers) or nonspam.
Download all data set variants used (25.4 MB). You can also access the original data. (spambase.data)
- Normalized, without duplicates
- Normalized, duplicates
- Not normalized, without duplicates
- Not normalized, duplicates
Normalized, without duplicates
This version contains 57 attributes, 3160 objects, 632 outliers (20.00%)
Download raw algorithm results (28.2 MB) Download raw algorithm evaluation table (72.7 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 2 | 0.30222 | 0.12777 | 0.27389 | 0.09236 | 0.37851 | 0.22314 | 0.61381 |
KNN | 5 | 0.28797 | 0.10997 | 0.28413 | 0.10516 | 0.41310 | 0.26637 | 0.65621 |
KNN | 8 | 0.27690 | 0.09612 | 0.28299 | 0.10374 | 0.41546 | 0.26933 | 0.66082 |
KNN | 9 | 0.28006 | 0.10008 | 0.28278 | 0.10348 | 0.41322 | 0.26653 | 0.66168 |
KNNW | 6 | 0.29905 | 0.12381 | 0.26950 | 0.08688 | 0.37292 | 0.21615 | 0.61741 |
KNNW | 12 | 0.28639 | 0.10799 | 0.27582 | 0.09477 | 0.40016 | 0.25020 | 0.64260 |
KNNW | 16 | 0.27215 | 0.09019 | 0.27490 | 0.09363 | 0.40735 | 0.25919 | 0.64596 |
KNNW | 23 | 0.27532 | 0.09415 | 0.27364 | 0.09205 | 0.40530 | 0.25663 | 0.64821 |
LOF | 55 | 0.18987 | -0.01266 | 0.23013 | 0.03766 | 0.36898 | 0.21123 | 0.55895 |
LOF | 97 | 0.24051 | 0.05063 | 0.23812 | 0.04765 | 0.36797 | 0.20996 | 0.58264 |
LOF | 99 | 0.24525 | 0.05657 | 0.23797 | 0.04746 | 0.36717 | 0.20897 | 0.58252 |
SimplifiedLOF | 2 | 0.25475 | 0.06843 | 0.22184 | 0.02729 | 0.33431 | 0.16789 | 0.50350 |
SimplifiedLOF | 36 | 0.19304 | -0.00870 | 0.20664 | 0.00830 | 0.35161 | 0.18951 | 0.53667 |
SimplifiedLOF | 87 | 0.15981 | -0.05024 | 0.21718 | 0.02147 | 0.36224 | 0.20280 | 0.52916 |
LoOP | 2 | 0.22468 | 0.03085 | 0.21508 | 0.01886 | 0.33333 | 0.16667 | 0.50067 |
LoOP | 95 | 0.21519 | 0.01899 | 0.23196 | 0.03994 | 0.36463 | 0.20579 | 0.55600 |
LoOP | 97 | 0.21361 | 0.01701 | 0.23220 | 0.04025 | 0.36323 | 0.20404 | 0.55691 |
LoOP | 100 | 0.21677 | 0.02097 | 0.23211 | 0.04014 | 0.36397 | 0.20497 | 0.55754 |
LDOF | 4 | 0.22943 | 0.03679 | 0.20965 | 0.01206 | 0.33430 | 0.16788 | 0.49186 |
LDOF | 57 | 0.20411 | 0.00514 | 0.21603 | 0.02004 | 0.35743 | 0.19679 | 0.55139 |
LDOF | 93 | 0.18987 | -0.01266 | 0.22732 | 0.03415 | 0.36352 | 0.20440 | 0.54576 |
LDOF | 100 | 0.19462 | -0.00672 | 0.22880 | 0.03600 | 0.36024 | 0.20030 | 0.54527 |
ODIN | 28 | 0.22690 | 0.03362 | 0.23099 | 0.03874 | 0.36222 | 0.20277 | 0.57087 |
ODIN | 96 | 0.24721 | 0.05902 | 0.24199 | 0.05249 | 0.36042 | 0.20053 | 0.58968 |
ODIN | 97 | 0.24809 | 0.06012 | 0.24201 | 0.05251 | 0.36087 | 0.20108 | 0.58960 |
ODIN | 100 | 0.25263 | 0.06578 | 0.24174 | 0.05218 | 0.35902 | 0.19878 | 0.58906 |
FastABOD | 4 | 0.27690 | 0.09612 | 0.24258 | 0.05322 | 0.34106 | 0.17632 | 0.56311 |
FastABOD | 5 | 0.27532 | 0.09415 | 0.24355 | 0.05443 | 0.34301 | 0.17876 | 0.56137 |
FastABOD | 43 | 0.27848 | 0.09810 | 0.24448 | 0.05560 | 0.33910 | 0.17388 | 0.55785 |
FastABOD | 82 | 0.26741 | 0.08426 | 0.24676 | 0.05844 | 0.33947 | 0.17434 | 0.56029 |
KDEOS | 28 | 0.22627 | 0.03283 | 0.21048 | 0.01310 | 0.33377 | 0.16722 | 0.50809 |
KDEOS | 42 | 0.22152 | 0.02690 | 0.21539 | 0.01924 | 0.33608 | 0.17010 | 0.52742 |
KDEOS | 93 | 0.18987 | -0.01266 | 0.20724 | 0.00905 | 0.35181 | 0.18976 | 0.53620 |
KDEOS | 100 | 0.19778 | -0.00277 | 0.20646 | 0.00808 | 0.35317 | 0.19146 | 0.53490 |
LDF | 3 | 0.24209 | 0.05261 | 0.21684 | 0.02105 | 0.33619 | 0.17024 | 0.52897 |
LDF | 100 | 0.23576 | 0.04470 | 0.24522 | 0.05653 | 0.38787 | 0.23484 | 0.60749 |
INFLO | 60 | 0.21044 | 0.01305 | 0.23062 | 0.03827 | 0.36438 | 0.20547 | 0.55274 |
INFLO | 97 | 0.24209 | 0.05261 | 0.23739 | 0.04674 | 0.36380 | 0.20476 | 0.58017 |
INFLO | 100 | 0.24209 | 0.05261 | 0.23750 | 0.04688 | 0.36369 | 0.20461 | 0.58055 |
COF | 2 | 0.24525 | 0.05657 | 0.21806 | 0.02258 | 0.33360 | 0.16700 | 0.50032 |
COF | 33 | 0.21361 | 0.01701 | 0.20756 | 0.00945 | 0.34058 | 0.17573 | 0.52538 |
COF | 96 | 0.17089 | -0.03639 | 0.19876 | -0.00155 | 0.36011 | 0.20014 | 0.50520 |
Plots
Normalized, duplicates
This version contains 57 attributes, 3485 objects, 697 outliers (20.00%)
Download raw algorithm results (29.1 MB) Download raw algorithm evaluation table (74.6 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 4 | 0.30273 | 0.12841 | 0.28043 | 0.10054 | 0.40171 | 0.25214 | 0.64672 |
KNN | 7 | 0.29555 | 0.11944 | 0.28753 | 0.10941 | 0.41433 | 0.26791 | 0.66618 |
KNN | 9 | 0.28981 | 0.11227 | 0.28660 | 0.10825 | 0.41896 | 0.27370 | 0.67300 |
KNN | 10 | 0.28551 | 0.10689 | 0.28332 | 0.10415 | 0.42160 | 0.27700 | 0.67296 |
KNNW | 8 | 0.28838 | 0.11047 | 0.27228 | 0.09035 | 0.39284 | 0.24105 | 0.63557 |
KNNW | 13 | 0.28694 | 0.10868 | 0.27721 | 0.09651 | 0.40108 | 0.25134 | 0.65143 |
KNNW | 39 | 0.27260 | 0.09075 | 0.27487 | 0.09359 | 0.41398 | 0.26748 | 0.66389 |
KNNW | 44 | 0.27403 | 0.09254 | 0.27365 | 0.09206 | 0.41602 | 0.27003 | 0.66256 |
LOF | 2 | 0.24821 | 0.06026 | 0.22578 | 0.03223 | 0.33381 | 0.16727 | 0.53492 |
LOF | 3 | 0.25108 | 0.06385 | 0.22416 | 0.03020 | 0.33511 | 0.16889 | 0.52693 |
LOF | 13 | 0.21521 | 0.01901 | 0.21234 | 0.01543 | 0.34877 | 0.18596 | 0.54902 |
LOF | 78 | 0.14778 | -0.06528 | 0.19868 | -0.00165 | 0.36482 | 0.20603 | 0.52603 |
SimplifiedLOF | 3 | 0.25538 | 0.06923 | 0.22606 | 0.03258 | 0.33333 | 0.16667 | 0.53168 |
SimplifiedLOF | 4 | 0.25825 | 0.07281 | 0.22338 | 0.02922 | 0.33405 | 0.16757 | 0.52010 |
SimplifiedLOF | 100 | 0.14060 | -0.07425 | 0.19160 | -0.01050 | 0.35905 | 0.19881 | 0.50172 |
LoOP | 1 | 0.23386 | 0.04232 | 0.23405 | 0.04257 | 0.33333 | 0.16667 | 0.52370 |
LoOP | 3 | 0.25108 | 0.06385 | 0.22738 | 0.03422 | 0.33333 | 0.16667 | 0.53482 |
LoOP | 16 | 0.22382 | 0.02977 | 0.21179 | 0.01474 | 0.34131 | 0.17664 | 0.53902 |
LoOP | 100 | 0.15925 | -0.05093 | 0.19542 | -0.00573 | 0.36076 | 0.20095 | 0.51966 |
LDOF | 2 | 0.24247 | 0.05308 | 0.23000 | 0.03750 | 0.33373 | 0.16717 | 0.49369 |
LDOF | 3 | 0.24821 | 0.06026 | 0.21917 | 0.02396 | 0.33607 | 0.17009 | 0.50264 |
LDOF | 80 | 0.19082 | -0.01148 | 0.19694 | -0.00382 | 0.35343 | 0.19178 | 0.52137 |
LDOF | 100 | 0.17073 | -0.03659 | 0.19550 | -0.00562 | 0.35740 | 0.19676 | 0.51726 |
ODIN | 56 | 0.22712 | 0.03390 | 0.23320 | 0.04150 | 0.36284 | 0.20355 | 0.57323 |
ODIN | 95 | 0.24369 | 0.05461 | 0.23618 | 0.04522 | 0.35670 | 0.19588 | 0.58233 |
ODIN | 99 | 0.24112 | 0.05140 | 0.23644 | 0.04555 | 0.35782 | 0.19727 | 0.58237 |
ODIN | 100 | 0.24247 | 0.05308 | 0.23635 | 0.04544 | 0.35794 | 0.19742 | 0.58253 |
FastABOD | 3 | 0.23960 | 0.04950 | 0.21205 | 0.01507 | 0.34618 | 0.18273 | 0.53983 |
FastABOD | 86 | 0.23816 | 0.04770 | 0.22290 | 0.02863 | 0.34937 | 0.18671 | 0.55037 |
FastABOD | 98 | 0.23960 | 0.04950 | 0.22344 | 0.02930 | 0.34937 | 0.18671 | 0.55078 |
FastABOD | 100 | 0.23960 | 0.04950 | 0.22357 | 0.02946 | 0.34937 | 0.18671 | 0.55078 |
KDEOS | 3 | 0.22382 | 0.02977 | 0.21912 | 0.02390 | 0.33400 | 0.16749 | 0.51006 |
KDEOS | 64 | 0.23099 | 0.03874 | 0.21382 | 0.01727 | 0.33709 | 0.17136 | 0.53545 |
KDEOS | 67 | 0.22382 | 0.02977 | 0.21405 | 0.01756 | 0.34010 | 0.17512 | 0.53862 |
KDEOS | 100 | 0.18508 | -0.01865 | 0.19936 | -0.00080 | 0.34990 | 0.18737 | 0.52710 |
LDF | 7 | 0.27547 | 0.09433 | 0.26287 | 0.07859 | 0.37869 | 0.22337 | 0.60445 |
INFLO | 2 | 0.23816 | 0.04770 | 0.22046 | 0.02557 | 0.33572 | 0.16965 | 0.53545 |
INFLO | 6 | 0.23960 | 0.04950 | 0.21878 | 0.02347 | 0.33552 | 0.16939 | 0.52875 |
INFLO | 15 | 0.22525 | 0.03156 | 0.20668 | 0.00835 | 0.35557 | 0.19446 | 0.53986 |
INFLO | 99 | 0.15208 | -0.05990 | 0.19960 | -0.00050 | 0.37025 | 0.21281 | 0.51407 |
COF | 2 | 0.24964 | 0.06205 | 0.23112 | 0.03889 | 0.34443 | 0.18053 | 0.54655 |
COF | 71 | 0.14491 | -0.06887 | 0.18367 | -0.02041 | 0.35152 | 0.18939 | 0.48812 |
Plots
Not normalized, without duplicates
This version contains 57 attributes, 3160 objects, 632 outliers (20.00%)
Download raw algorithm results (27.5 MB) Download raw algorithm evaluation table (71.8 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 7 | 0.44620 | 0.30775 | 0.44456 | 0.30570 | 0.45322 | 0.31652 | 0.74362 |
KNN | 9 | 0.44778 | 0.30973 | 0.44222 | 0.30277 | 0.45466 | 0.31832 | 0.74485 |
KNN | 74 | 0.42089 | 0.27611 | 0.41787 | 0.27233 | 0.46082 | 0.32602 | 0.74844 |
KNN | 98 | 0.42247 | 0.27809 | 0.41488 | 0.26860 | 0.46389 | 0.32986 | 0.74802 |
KNNW | 14 | 0.44937 | 0.31171 | 0.44181 | 0.30226 | 0.44947 | 0.31183 | 0.73778 |
KNNW | 16 | 0.44462 | 0.30578 | 0.44224 | 0.30280 | 0.45072 | 0.31340 | 0.73934 |
KNNW | 56 | 0.42722 | 0.28402 | 0.42805 | 0.28506 | 0.46354 | 0.32943 | 0.74602 |
KNNW | 100 | 0.42247 | 0.27809 | 0.42234 | 0.27793 | 0.46237 | 0.32796 | 0.74765 |
LOF | 89 | 0.31329 | 0.14161 | 0.29024 | 0.11279 | 0.37661 | 0.22076 | 0.62593 |
LOF | 100 | 0.30696 | 0.13370 | 0.29541 | 0.11926 | 0.38109 | 0.22637 | 0.63208 |
SimplifiedLOF | 95 | 0.28323 | 0.10403 | 0.28467 | 0.10584 | 0.35335 | 0.19169 | 0.59470 |
SimplifiedLOF | 100 | 0.28323 | 0.10403 | 0.28673 | 0.10841 | 0.35459 | 0.19324 | 0.59724 |
LoOP | 70 | 0.25791 | 0.07239 | 0.24462 | 0.05578 | 0.34213 | 0.17767 | 0.55885 |
LoOP | 86 | 0.26899 | 0.08623 | 0.25123 | 0.06403 | 0.33938 | 0.17422 | 0.56493 |
LoOP | 87 | 0.26582 | 0.08228 | 0.25165 | 0.06457 | 0.34069 | 0.17586 | 0.56560 |
LoOP | 100 | 0.26424 | 0.08030 | 0.25537 | 0.06921 | 0.33900 | 0.17375 | 0.56430 |
LDOF | 2 | 0.23418 | 0.04272 | 0.22247 | 0.02809 | 0.33421 | 0.16777 | 0.46115 |
LDOF | 39 | 0.16456 | -0.04430 | 0.19135 | -0.01082 | 0.33505 | 0.16882 | 0.46623 |
LDOF | 100 | 0.21203 | 0.01503 | 0.21345 | 0.01681 | 0.33441 | 0.16801 | 0.50358 |
ODIN | 23 | 0.15929 | -0.05089 | 0.20718 | 0.00897 | 0.36973 | 0.21216 | 0.54648 |
ODIN | 81 | 0.21586 | 0.01982 | 0.21354 | 0.01693 | 0.36353 | 0.20441 | 0.54995 |
ODIN | 92 | 0.21123 | 0.01404 | 0.21424 | 0.01779 | 0.36212 | 0.20264 | 0.55062 |
ODIN | 99 | 0.20904 | 0.01130 | 0.21459 | 0.01823 | 0.36196 | 0.20244 | 0.55055 |
FastABOD | 3 | 0.40823 | 0.26028 | 0.41665 | 0.27081 | 0.45326 | 0.31658 | 0.72665 |
FastABOD | 6 | 0.40032 | 0.25040 | 0.41642 | 0.27053 | 0.45711 | 0.32139 | 0.72755 |
FastABOD | 20 | 0.40665 | 0.25831 | 0.41740 | 0.27175 | 0.45439 | 0.31799 | 0.72806 |
FastABOD | 86 | 0.40506 | 0.25633 | 0.41880 | 0.27350 | 0.45449 | 0.31812 | 0.72775 |
KDEOS | 86 | 0.21677 | 0.02097 | 0.22087 | 0.02608 | 0.35350 | 0.19187 | 0.55939 |
KDEOS | 99 | 0.21203 | 0.01503 | 0.22489 | 0.03111 | 0.35946 | 0.19932 | 0.56690 |
KDEOS | 100 | 0.21203 | 0.01503 | 0.22523 | 0.03154 | 0.35837 | 0.19796 | 0.56732 |
LDF | 98 | 0.38608 | 0.23259 | 0.38904 | 0.23629 | 0.44197 | 0.30246 | 0.69822 |
LDF | 100 | 0.39241 | 0.24051 | 0.39135 | 0.23918 | 0.44277 | 0.30347 | 0.69811 |
INFLO | 99 | 0.28323 | 0.10403 | 0.27233 | 0.09042 | 0.43986 | 0.29982 | 0.61531 |
INFLO | 100 | 0.28323 | 0.10403 | 0.27206 | 0.09007 | 0.43837 | 0.29796 | 0.61538 |
COF | 95 | 0.30380 | 0.12975 | 0.34918 | 0.18647 | 0.37442 | 0.21803 | 0.63036 |
COF | 100 | 0.32437 | 0.15546 | 0.35452 | 0.19315 | 0.37265 | 0.21582 | 0.63576 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 3485 objects, 697 outliers (20.00%)
Download raw algorithm results (28.6 MB) Download raw algorithm evaluation table (73.4 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 10 | 0.44620 | 0.30775 | 0.45055 | 0.31318 | 0.46566 | 0.33208 | 0.75878 |
KNN | 15 | 0.44620 | 0.30775 | 0.45208 | 0.31510 | 0.46961 | 0.33702 | 0.76035 |
KNN | 33 | 0.43759 | 0.29699 | 0.44549 | 0.30686 | 0.46756 | 0.33445 | 0.76283 |
KNN | 80 | 0.43759 | 0.29699 | 0.43370 | 0.29212 | 0.47337 | 0.34171 | 0.76166 |
KNNW | 18 | 0.44189 | 0.30237 | 0.45159 | 0.31449 | 0.46799 | 0.33499 | 0.75642 |
KNNW | 20 | 0.44333 | 0.30416 | 0.45122 | 0.31403 | 0.47024 | 0.33780 | 0.75754 |
KNNW | 26 | 0.43472 | 0.29340 | 0.44985 | 0.31231 | 0.47206 | 0.34007 | 0.75891 |
KNNW | 52 | 0.43902 | 0.29878 | 0.44651 | 0.30813 | 0.46971 | 0.33714 | 0.76207 |
LOF | 95 | 0.30129 | 0.12661 | 0.27492 | 0.09365 | 0.38149 | 0.22686 | 0.62988 |
LOF | 98 | 0.30703 | 0.13379 | 0.27730 | 0.09663 | 0.37941 | 0.22426 | 0.63192 |
LOF | 100 | 0.30703 | 0.13379 | 0.27916 | 0.09895 | 0.38028 | 0.22535 | 0.63277 |
SimplifiedLOF | 99 | 0.24247 | 0.05308 | 0.23865 | 0.04831 | 0.36223 | 0.20279 | 0.59257 |
SimplifiedLOF | 100 | 0.24247 | 0.05308 | 0.23996 | 0.04995 | 0.36214 | 0.20267 | 0.59337 |
LoOP | 1 | 0.23386 | 0.04232 | 0.24118 | 0.05147 | 0.33333 | 0.16667 | 0.51465 |
LoOP | 100 | 0.22956 | 0.03694 | 0.22792 | 0.03490 | 0.35446 | 0.19307 | 0.56925 |
LDOF | 2 | 0.22095 | 0.02618 | 0.22080 | 0.02600 | 0.33333 | 0.16667 | 0.45236 |
LDOF | 98 | 0.16499 | -0.04376 | 0.19289 | -0.00889 | 0.34184 | 0.17730 | 0.50577 |
LDOF | 100 | 0.16643 | -0.04197 | 0.19394 | -0.00757 | 0.34175 | 0.17718 | 0.50753 |
ODIN | 1 | 0.20669 | 0.00837 | 0.21781 | 0.02226 | 0.35642 | 0.19553 | 0.55330 |
ODIN | 21 | 0.17153 | -0.03559 | 0.21542 | 0.01927 | 0.37525 | 0.21907 | 0.56837 |
ODIN | 26 | 0.17088 | -0.03640 | 0.21389 | 0.01736 | 0.37878 | 0.22347 | 0.56593 |
ODIN | 100 | 0.22265 | 0.02832 | 0.21149 | 0.01436 | 0.36016 | 0.20020 | 0.55583 |
FastABOD | 70 | 0.40316 | 0.25395 | 0.40679 | 0.25849 | 0.46747 | 0.33433 | 0.72284 |
FastABOD | 74 | 0.40316 | 0.25395 | 0.40746 | 0.25932 | 0.46888 | 0.33610 | 0.72292 |
FastABOD | 94 | 0.40316 | 0.25395 | 0.40805 | 0.26006 | 0.46858 | 0.33572 | 0.72319 |
FastABOD | 98 | 0.40316 | 0.25395 | 0.40807 | 0.26008 | 0.46798 | 0.33497 | 0.72313 |
KDEOS | 2 | 0.21112 | 0.01389 | 0.20913 | 0.01141 | 0.33500 | 0.16874 | 0.51784 |
KDEOS | 94 | 0.19225 | -0.00968 | 0.21501 | 0.01876 | 0.36239 | 0.20298 | 0.56307 |
KDEOS | 100 | 0.19656 | -0.00430 | 0.21821 | 0.02276 | 0.36183 | 0.20229 | 0.56741 |
LDF | 97 | 0.38594 | 0.23242 | 0.40507 | 0.25634 | 0.41376 | 0.26721 | 0.70215 |
LDF | 99 | 0.39598 | 0.24498 | 0.40805 | 0.26006 | 0.41301 | 0.26626 | 0.70436 |
LDF | 100 | 0.39455 | 0.24319 | 0.40810 | 0.26012 | 0.41353 | 0.26691 | 0.70479 |
INFLO | 98 | 0.26255 | 0.07819 | 0.25360 | 0.06699 | 0.45042 | 0.31302 | 0.62215 |
INFLO | 100 | 0.25825 | 0.07281 | 0.25505 | 0.06881 | 0.45134 | 0.31418 | 0.62277 |
COF | 92 | 0.28264 | 0.10330 | 0.25605 | 0.07006 | 0.37822 | 0.22278 | 0.61476 |
COF | 97 | 0.28981 | 0.11227 | 0.26290 | 0.07863 | 0.37423 | 0.21779 | 0.61806 |
COF | 100 | 0.28551 | 0.10689 | 0.26667 | 0.08334 | 0.37488 | 0.21860 | 0.62097 |