SpamBase (20% of outliers version#09)
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 (74.2 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 | 3 | 0.34177 | 0.17722 | 0.28996 | 0.11245 | 0.39522 | 0.24402 | 0.64959 |
KNN | 8 | 0.32911 | 0.16139 | 0.30234 | 0.12792 | 0.41954 | 0.27443 | 0.68306 |
KNN | 9 | 0.32753 | 0.15941 | 0.30318 | 0.12897 | 0.42030 | 0.27538 | 0.68301 |
KNNW | 10 | 0.33228 | 0.16535 | 0.28741 | 0.10927 | 0.40429 | 0.25536 | 0.65798 |
KNNW | 15 | 0.31962 | 0.14953 | 0.29096 | 0.11370 | 0.41429 | 0.26787 | 0.66646 |
KNNW | 18 | 0.31487 | 0.14359 | 0.29036 | 0.11295 | 0.41519 | 0.26898 | 0.66757 |
KNNW | 21 | 0.31646 | 0.14557 | 0.28929 | 0.11161 | 0.41386 | 0.26732 | 0.66799 |
LOF | 95 | 0.24209 | 0.05261 | 0.24315 | 0.05394 | 0.38200 | 0.22750 | 0.60383 |
LOF | 100 | 0.25475 | 0.06843 | 0.24392 | 0.05489 | 0.37972 | 0.22465 | 0.60488 |
SimplifiedLOF | 1 | 0.23418 | 0.04272 | 0.22047 | 0.02558 | 0.33369 | 0.16711 | 0.50644 |
SimplifiedLOF | 2 | 0.24051 | 0.05063 | 0.21072 | 0.01340 | 0.33439 | 0.16799 | 0.49421 |
SimplifiedLOF | 99 | 0.16930 | -0.03837 | 0.21619 | 0.02024 | 0.36285 | 0.20356 | 0.54279 |
SimplifiedLOF | 100 | 0.17089 | -0.03639 | 0.21650 | 0.02062 | 0.36285 | 0.20356 | 0.54315 |
LoOP | 10 | 0.23892 | 0.04866 | 0.21083 | 0.01354 | 0.33333 | 0.16667 | 0.51571 |
LoOP | 98 | 0.21835 | 0.02294 | 0.22936 | 0.03670 | 0.36528 | 0.20661 | 0.56963 |
LoOP | 100 | 0.21994 | 0.02492 | 0.23014 | 0.03768 | 0.36469 | 0.20586 | 0.57089 |
LDOF | 14 | 0.24051 | 0.05063 | 0.21562 | 0.01952 | 0.33529 | 0.16912 | 0.52353 |
LDOF | 96 | 0.19462 | -0.00672 | 0.22409 | 0.03011 | 0.35969 | 0.19962 | 0.54753 |
LDOF | 98 | 0.19462 | -0.00672 | 0.22454 | 0.03068 | 0.35954 | 0.19942 | 0.54808 |
LDOF | 100 | 0.19620 | -0.00475 | 0.22487 | 0.03108 | 0.35879 | 0.19848 | 0.54802 |
ODIN | 62 | 0.23917 | 0.04897 | 0.23416 | 0.04270 | 0.36580 | 0.20725 | 0.58353 |
ODIN | 72 | 0.24991 | 0.06238 | 0.23643 | 0.04554 | 0.36251 | 0.20314 | 0.58642 |
ODIN | 100 | 0.24435 | 0.05544 | 0.23801 | 0.04752 | 0.35775 | 0.19719 | 0.58972 |
FastABOD | 10 | 0.28639 | 0.10799 | 0.24716 | 0.05895 | 0.34439 | 0.18049 | 0.57389 |
FastABOD | 60 | 0.28006 | 0.10008 | 0.25111 | 0.06389 | 0.35130 | 0.18912 | 0.57802 |
FastABOD | 81 | 0.27690 | 0.09612 | 0.24917 | 0.06146 | 0.35308 | 0.19136 | 0.57911 |
FastABOD | 100 | 0.27848 | 0.09810 | 0.24847 | 0.06059 | 0.35294 | 0.19118 | 0.58015 |
KDEOS | 3 | 0.23259 | 0.04074 | 0.22135 | 0.02669 | 0.33784 | 0.17230 | 0.49220 |
KDEOS | 94 | 0.20570 | 0.00712 | 0.20328 | 0.00410 | 0.34960 | 0.18699 | 0.53021 |
KDEOS | 97 | 0.21044 | 0.01305 | 0.20363 | 0.00454 | 0.35047 | 0.18808 | 0.52942 |
LDF | 98 | 0.28165 | 0.10206 | 0.26820 | 0.08525 | 0.40094 | 0.25118 | 0.63990 |
LDF | 100 | 0.28165 | 0.10206 | 0.26972 | 0.08715 | 0.40243 | 0.25304 | 0.64186 |
INFLO | 13 | 0.23892 | 0.04866 | 0.21473 | 0.01841 | 0.34610 | 0.18263 | 0.53511 |
INFLO | 99 | 0.22943 | 0.03679 | 0.24047 | 0.05059 | 0.37338 | 0.21673 | 0.59670 |
INFLO | 100 | 0.22785 | 0.03481 | 0.24054 | 0.05067 | 0.37442 | 0.21802 | 0.59664 |
COF | 1 | 0.22943 | 0.03679 | 0.21986 | 0.02482 | 0.33395 | 0.16744 | 0.50518 |
COF | 2 | 0.23734 | 0.04668 | 0.21033 | 0.01291 | 0.33369 | 0.16711 | 0.49415 |
COF | 41 | 0.19620 | -0.00475 | 0.20770 | 0.00962 | 0.33903 | 0.17379 | 0.51962 |
COF | 83 | 0.15348 | -0.05815 | 0.20515 | 0.00644 | 0.35154 | 0.18942 | 0.50979 |
Plots
Normalized, duplicates
This version contains 57 attributes, 3485 objects, 697 outliers (20.00%)
Download raw algorithm results (29.0 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 | 2 | 0.31564 | 0.14455 | 0.27863 | 0.09829 | 0.38235 | 0.22794 | 0.62243 |
KNN | 6 | 0.30129 | 0.12661 | 0.29223 | 0.11529 | 0.41757 | 0.27196 | 0.67136 |
KNN | 7 | 0.30129 | 0.12661 | 0.29190 | 0.11488 | 0.41901 | 0.27377 | 0.67374 |
KNN | 13 | 0.29986 | 0.12482 | 0.27985 | 0.09982 | 0.42189 | 0.27737 | 0.66602 |
KNNW | 2 | 0.30416 | 0.13020 | 0.26477 | 0.08096 | 0.35276 | 0.19095 | 0.58350 |
KNNW | 12 | 0.29125 | 0.11406 | 0.28420 | 0.10524 | 0.40418 | 0.25522 | 0.65473 |
KNNW | 36 | 0.28551 | 0.10689 | 0.27715 | 0.09643 | 0.41470 | 0.26838 | 0.66131 |
KNNW | 39 | 0.28407 | 0.10509 | 0.27673 | 0.09591 | 0.41570 | 0.26962 | 0.66117 |
LOF | 2 | 0.26112 | 0.07640 | 0.23575 | 0.04469 | 0.33566 | 0.16958 | 0.54658 |
LOF | 9 | 0.20947 | 0.01184 | 0.21929 | 0.02411 | 0.35139 | 0.18924 | 0.55666 |
LOF | 40 | 0.18077 | -0.02403 | 0.20053 | 0.00067 | 0.36275 | 0.20343 | 0.53830 |
SimplifiedLOF | 2 | 0.25395 | 0.06743 | 0.23233 | 0.04042 | 0.33381 | 0.16727 | 0.53064 |
SimplifiedLOF | 3 | 0.26829 | 0.08537 | 0.22647 | 0.03309 | 0.33333 | 0.16667 | 0.52756 |
SimplifiedLOF | 4 | 0.26255 | 0.07819 | 0.22842 | 0.03552 | 0.33333 | 0.16667 | 0.53474 |
SimplifiedLOF | 82 | 0.15638 | -0.05452 | 0.19625 | -0.00469 | 0.36092 | 0.20115 | 0.51956 |
LoOP | 2 | 0.25108 | 0.06385 | 0.24256 | 0.05320 | 0.33333 | 0.16667 | 0.54735 |
LoOP | 4 | 0.25251 | 0.06564 | 0.22870 | 0.03588 | 0.33333 | 0.16667 | 0.54703 |
LoOP | 11 | 0.21951 | 0.02439 | 0.21634 | 0.02042 | 0.34542 | 0.18178 | 0.54768 |
LoOP | 97 | 0.17217 | -0.03479 | 0.20741 | 0.00926 | 0.36414 | 0.20518 | 0.53860 |
LDOF | 2 | 0.24821 | 0.06026 | 0.22933 | 0.03666 | 0.33349 | 0.16687 | 0.49100 |
LDOF | 4 | 0.25108 | 0.06385 | 0.22446 | 0.03058 | 0.33461 | 0.16827 | 0.50629 |
LDOF | 82 | 0.18077 | -0.02403 | 0.20791 | 0.00989 | 0.36379 | 0.20473 | 0.53899 |
LDOF | 99 | 0.17791 | -0.02762 | 0.20753 | 0.00941 | 0.36489 | 0.20611 | 0.53736 |
ODIN | 13 | 0.25256 | 0.06570 | 0.24272 | 0.05340 | 0.35623 | 0.19528 | 0.58121 |
ODIN | 15 | 0.25440 | 0.06800 | 0.24194 | 0.05242 | 0.35757 | 0.19696 | 0.58274 |
ODIN | 26 | 0.23099 | 0.03874 | 0.23117 | 0.03896 | 0.36531 | 0.20664 | 0.57543 |
ODIN | 99 | 0.24285 | 0.05356 | 0.23996 | 0.04995 | 0.35817 | 0.19771 | 0.58701 |
FastABOD | 36 | 0.26542 | 0.08178 | 0.22917 | 0.03646 | 0.34743 | 0.18429 | 0.56572 |
FastABOD | 97 | 0.26112 | 0.07640 | 0.23173 | 0.03967 | 0.34843 | 0.18554 | 0.56840 |
FastABOD | 98 | 0.26112 | 0.07640 | 0.23155 | 0.03944 | 0.34856 | 0.18570 | 0.56838 |
FastABOD | 100 | 0.25968 | 0.07461 | 0.23170 | 0.03963 | 0.34831 | 0.18538 | 0.56841 |
KDEOS | 3 | 0.21521 | 0.01901 | 0.21433 | 0.01791 | 0.33656 | 0.17070 | 0.50800 |
KDEOS | 22 | 0.22669 | 0.03336 | 0.20579 | 0.00724 | 0.33381 | 0.16727 | 0.50923 |
KDEOS | 68 | 0.20660 | 0.00825 | 0.21220 | 0.01525 | 0.34724 | 0.18405 | 0.54474 |
KDEOS | 100 | 0.17360 | -0.03300 | 0.20167 | 0.00208 | 0.35695 | 0.19619 | 0.53831 |
LDF | 2 | 0.26255 | 0.07819 | 0.24613 | 0.05767 | 0.33866 | 0.17333 | 0.55296 |
LDF | 7 | 0.24103 | 0.05129 | 0.22982 | 0.03727 | 0.36048 | 0.20059 | 0.57840 |
LDF | 17 | 0.15638 | -0.05452 | 0.21528 | 0.01910 | 0.36824 | 0.21030 | 0.55646 |
INFLO | 2 | 0.23386 | 0.04232 | 0.22665 | 0.03331 | 0.34146 | 0.17683 | 0.54561 |
INFLO | 11 | 0.22525 | 0.03156 | 0.21521 | 0.01902 | 0.36020 | 0.20024 | 0.55518 |
INFLO | 100 | 0.15782 | -0.05273 | 0.20702 | 0.00878 | 0.37027 | 0.21284 | 0.52981 |
COF | 2 | 0.26112 | 0.07640 | 0.23869 | 0.04836 | 0.34154 | 0.17693 | 0.55217 |
COF | 78 | 0.16643 | -0.04197 | 0.19365 | -0.00794 | 0.35373 | 0.19216 | 0.50733 |
Plots
Not normalized, without duplicates
This version contains 57 attributes, 3160 objects, 632 outliers (20.00%)
Download raw algorithm results (27.4 MB) Download raw algorithm evaluation table (72.2 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 | 11 | 0.44620 | 0.30775 | 0.43637 | 0.29546 | 0.46190 | 0.32737 | 0.74869 |
KNN | 12 | 0.44304 | 0.30380 | 0.43791 | 0.29739 | 0.46065 | 0.32581 | 0.74873 |
KNN | 14 | 0.43671 | 0.29589 | 0.43837 | 0.29796 | 0.46636 | 0.33295 | 0.74860 |
KNN | 83 | 0.42405 | 0.28006 | 0.41170 | 0.26463 | 0.46778 | 0.33472 | 0.74781 |
KNNW | 18 | 0.44304 | 0.30380 | 0.43717 | 0.29646 | 0.46088 | 0.32610 | 0.74648 |
KNNW | 24 | 0.44620 | 0.30775 | 0.43430 | 0.29287 | 0.46145 | 0.32681 | 0.74708 |
KNNW | 68 | 0.42880 | 0.28600 | 0.42057 | 0.27571 | 0.46567 | 0.33208 | 0.74784 |
KNNW | 86 | 0.42880 | 0.28600 | 0.41799 | 0.27249 | 0.46265 | 0.32831 | 0.74800 |
LOF | 85 | 0.30222 | 0.12777 | 0.28421 | 0.10526 | 0.37173 | 0.21466 | 0.62278 |
LOF | 98 | 0.29747 | 0.12184 | 0.29082 | 0.11353 | 0.38340 | 0.22925 | 0.63269 |
LOF | 100 | 0.29589 | 0.11986 | 0.29183 | 0.11479 | 0.38197 | 0.22747 | 0.63460 |
SimplifiedLOF | 79 | 0.27532 | 0.09415 | 0.27157 | 0.08947 | 0.35624 | 0.19531 | 0.59463 |
SimplifiedLOF | 90 | 0.26424 | 0.08030 | 0.27839 | 0.09799 | 0.35879 | 0.19849 | 0.59814 |
SimplifiedLOF | 100 | 0.27215 | 0.09019 | 0.28338 | 0.10423 | 0.35669 | 0.19586 | 0.60046 |
LoOP | 80 | 0.24684 | 0.05854 | 0.24099 | 0.05124 | 0.35067 | 0.18834 | 0.57185 |
LoOP | 93 | 0.25316 | 0.06646 | 0.24608 | 0.05760 | 0.34761 | 0.18452 | 0.57218 |
LoOP | 99 | 0.25158 | 0.06448 | 0.24830 | 0.06038 | 0.34956 | 0.18695 | 0.57414 |
LDOF | 2 | 0.27215 | 0.09019 | 0.24648 | 0.05810 | 0.33421 | 0.16777 | 0.48150 |
LDOF | 79 | 0.20570 | 0.00712 | 0.20046 | 0.00058 | 0.33449 | 0.16812 | 0.49653 |
LDOF | 99 | 0.20253 | 0.00316 | 0.20781 | 0.00976 | 0.33395 | 0.16744 | 0.50351 |
ODIN | 19 | 0.14790 | -0.06512 | 0.20858 | 0.01072 | 0.37182 | 0.21477 | 0.55297 |
ODIN | 96 | 0.22053 | 0.02566 | 0.21395 | 0.01744 | 0.35971 | 0.19964 | 0.55532 |
ODIN | 98 | 0.21574 | 0.01968 | 0.21473 | 0.01842 | 0.35977 | 0.19971 | 0.55607 |
FastABOD | 3 | 0.41297 | 0.26622 | 0.40558 | 0.25698 | 0.45105 | 0.31381 | 0.72549 |
FastABOD | 9 | 0.39399 | 0.24248 | 0.40045 | 0.25056 | 0.45693 | 0.32117 | 0.72653 |
FastABOD | 98 | 0.39873 | 0.24842 | 0.39990 | 0.24987 | 0.46434 | 0.33043 | 0.72423 |
KDEOS | 3 | 0.22310 | 0.02888 | 0.22173 | 0.02717 | 0.33458 | 0.16822 | 0.48508 |
KDEOS | 96 | 0.19778 | -0.00277 | 0.22537 | 0.03171 | 0.36589 | 0.20736 | 0.57681 |
KDEOS | 98 | 0.19937 | -0.00079 | 0.22596 | 0.03245 | 0.36574 | 0.20717 | 0.57738 |
KDEOS | 100 | 0.20570 | 0.00712 | 0.22591 | 0.03239 | 0.36481 | 0.20601 | 0.57739 |
LDF | 90 | 0.39715 | 0.24644 | 0.39043 | 0.23804 | 0.44366 | 0.30457 | 0.71712 |
LDF | 97 | 0.40823 | 0.26028 | 0.39966 | 0.24957 | 0.43935 | 0.29918 | 0.72118 |
LDF | 100 | 0.40823 | 0.26028 | 0.40360 | 0.25450 | 0.44309 | 0.30386 | 0.72337 |
INFLO | 75 | 0.26582 | 0.08228 | 0.26039 | 0.07549 | 0.44878 | 0.31097 | 0.62381 |
INFLO | 91 | 0.27532 | 0.09415 | 0.26517 | 0.08146 | 0.44729 | 0.30911 | 0.62370 |
INFLO | 99 | 0.27690 | 0.09612 | 0.26413 | 0.08017 | 0.43537 | 0.29421 | 0.61581 |
COF | 87 | 0.30222 | 0.12777 | 0.33502 | 0.16877 | 0.38267 | 0.22834 | 0.62775 |
COF | 88 | 0.30222 | 0.12777 | 0.33604 | 0.17005 | 0.38185 | 0.22732 | 0.62803 |
COF | 98 | 0.31962 | 0.14953 | 0.33954 | 0.17442 | 0.37354 | 0.21692 | 0.62564 |
COF | 100 | 0.31329 | 0.14161 | 0.34023 | 0.17529 | 0.37183 | 0.21479 | 0.62635 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 3485 objects, 697 outliers (20.00%)
Download raw algorithm results (28.7 MB) Download raw algorithm evaluation table (72.6 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 | 7 | 0.45337 | 0.31671 | 0.44989 | 0.31236 | 0.46200 | 0.32749 | 0.75320 |
KNN | 8 | 0.45768 | 0.32209 | 0.44968 | 0.31211 | 0.46086 | 0.32607 | 0.75211 |
KNN | 89 | 0.43759 | 0.29699 | 0.42693 | 0.28366 | 0.47326 | 0.34158 | 0.76113 |
KNN | 98 | 0.43902 | 0.29878 | 0.42534 | 0.28168 | 0.47461 | 0.34327 | 0.75996 |
KNNW | 9 | 0.45624 | 0.32030 | 0.44452 | 0.30565 | 0.46136 | 0.32670 | 0.73524 |
KNNW | 17 | 0.45337 | 0.31671 | 0.44746 | 0.30932 | 0.46016 | 0.32520 | 0.74494 |
KNNW | 93 | 0.43759 | 0.29699 | 0.43432 | 0.29290 | 0.47309 | 0.34136 | 0.75947 |
KNNW | 100 | 0.43902 | 0.29878 | 0.43383 | 0.29229 | 0.47309 | 0.34136 | 0.75969 |
LOF | 90 | 0.29842 | 0.12303 | 0.26955 | 0.08694 | 0.37425 | 0.21781 | 0.61662 |
LOF | 100 | 0.29555 | 0.11944 | 0.27954 | 0.09943 | 0.38288 | 0.22861 | 0.62848 |
SimplifiedLOF | 2 | 0.26542 | 0.08178 | 0.22318 | 0.02897 | 0.33333 | 0.16667 | 0.50597 |
SimplifiedLOF | 98 | 0.24677 | 0.05846 | 0.23915 | 0.04894 | 0.35533 | 0.19416 | 0.58185 |
SimplifiedLOF | 100 | 0.24677 | 0.05846 | 0.24192 | 0.05239 | 0.35522 | 0.19403 | 0.58319 |
LoOP | 1 | 0.25251 | 0.06564 | 0.24570 | 0.05713 | 0.33333 | 0.16667 | 0.52943 |
LoOP | 77 | 0.20947 | 0.01184 | 0.21547 | 0.01934 | 0.35140 | 0.18926 | 0.55327 |
LoOP | 100 | 0.23960 | 0.04950 | 0.22840 | 0.03550 | 0.34698 | 0.18372 | 0.56282 |
LDOF | 2 | 0.25538 | 0.06923 | 0.23022 | 0.03777 | 0.33333 | 0.16667 | 0.47713 |
LDOF | 72 | 0.17791 | -0.02762 | 0.18625 | -0.01719 | 0.34249 | 0.17811 | 0.48997 |
LDOF | 100 | 0.18508 | -0.01865 | 0.19781 | -0.00274 | 0.34103 | 0.17629 | 0.50446 |
ODIN | 1 | 0.21317 | 0.01646 | 0.21738 | 0.02173 | 0.35689 | 0.19611 | 0.55144 |
ODIN | 25 | 0.16200 | -0.04750 | 0.20887 | 0.01109 | 0.37969 | 0.22461 | 0.55652 |
ODIN | 97 | 0.20992 | 0.01240 | 0.21076 | 0.01345 | 0.36081 | 0.20101 | 0.55783 |
FastABOD | 18 | 0.41176 | 0.26471 | 0.39741 | 0.24676 | 0.46480 | 0.33100 | 0.72635 |
FastABOD | 84 | 0.42037 | 0.27547 | 0.41897 | 0.27372 | 0.46203 | 0.32753 | 0.72902 |
FastABOD | 100 | 0.41894 | 0.27367 | 0.41938 | 0.27423 | 0.46105 | 0.32631 | 0.72930 |
KDEOS | 77 | 0.20947 | 0.01184 | 0.21654 | 0.02068 | 0.34827 | 0.18533 | 0.55391 |
KDEOS | 93 | 0.20086 | 0.00108 | 0.22140 | 0.02675 | 0.35498 | 0.19372 | 0.56002 |
KDEOS | 100 | 0.20803 | 0.01004 | 0.22537 | 0.03171 | 0.35437 | 0.19296 | 0.56400 |
LDF | 98 | 0.38881 | 0.23601 | 0.40415 | 0.25518 | 0.41955 | 0.27444 | 0.69890 |
LDF | 99 | 0.38737 | 0.23422 | 0.40678 | 0.25847 | 0.42152 | 0.27690 | 0.70102 |
LDF | 100 | 0.38451 | 0.23063 | 0.40692 | 0.25865 | 0.41833 | 0.27292 | 0.70092 |
INFLO | 91 | 0.24964 | 0.06205 | 0.25251 | 0.06563 | 0.44394 | 0.30492 | 0.61734 |
INFLO | 99 | 0.25681 | 0.07102 | 0.25251 | 0.06564 | 0.43321 | 0.29151 | 0.60663 |
INFLO | 100 | 0.25395 | 0.06743 | 0.25415 | 0.06768 | 0.43636 | 0.29545 | 0.60936 |
COF | 92 | 0.26829 | 0.08537 | 0.24815 | 0.06019 | 0.35008 | 0.18760 | 0.58226 |
COF | 98 | 0.26829 | 0.08537 | 0.25766 | 0.07208 | 0.35367 | 0.19208 | 0.58778 |
COF | 99 | 0.26542 | 0.08178 | 0.26104 | 0.07630 | 0.35306 | 0.19133 | 0.59018 |
COF | 100 | 0.26829 | 0.08537 | 0.26199 | 0.07748 | 0.35270 | 0.19087 | 0.58883 |