SpamBase (10% of outliers version#06)
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, 2808 objects, 280 outliers (9.97%)
Download raw algorithm results (25.1 MB) Download raw algorithm evaluation table (70.2 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 | 1 | 0.23571 | 0.15106 | 0.19155 | 0.10200 | 0.28463 | 0.20540 | 0.67520 |
KNN | 3 | 0.22143 | 0.13519 | 0.19290 | 0.10350 | 0.28541 | 0.20626 | 0.70258 |
KNN | 4 | 0.22857 | 0.14313 | 0.19286 | 0.10346 | 0.29019 | 0.21157 | 0.70652 |
KNN | 6 | 0.22857 | 0.14313 | 0.19098 | 0.10138 | 0.29126 | 0.21276 | 0.70071 |
KNNW | 1 | 0.23929 | 0.15503 | 0.17980 | 0.08896 | 0.26455 | 0.18309 | 0.61403 |
KNNW | 8 | 0.22143 | 0.13519 | 0.19093 | 0.10132 | 0.29176 | 0.21332 | 0.69472 |
KNNW | 10 | 0.22857 | 0.14313 | 0.19073 | 0.10109 | 0.28505 | 0.20586 | 0.69555 |
LOF | 26 | 0.11071 | 0.01222 | 0.14403 | 0.04923 | 0.27709 | 0.19702 | 0.67076 |
LOF | 93 | 0.16429 | 0.07172 | 0.16383 | 0.07122 | 0.27188 | 0.19123 | 0.66768 |
LOF | 96 | 0.17143 | 0.07966 | 0.16326 | 0.07058 | 0.27468 | 0.19434 | 0.66657 |
SimplifiedLOF | 1 | 0.15357 | 0.05982 | 0.11650 | 0.01864 | 0.18227 | 0.09170 | 0.52336 |
SimplifiedLOF | 38 | 0.10000 | 0.00032 | 0.12832 | 0.03178 | 0.24464 | 0.16098 | 0.63397 |
SimplifiedLOF | 49 | 0.10357 | 0.00428 | 0.12802 | 0.03144 | 0.24637 | 0.16290 | 0.63165 |
SimplifiedLOF | 100 | 0.12857 | 0.03205 | 0.14040 | 0.04519 | 0.24189 | 0.15792 | 0.62599 |
LoOP | 93 | 0.18214 | 0.09156 | 0.15974 | 0.06668 | 0.26206 | 0.18032 | 0.65612 |
LoOP | 100 | 0.17500 | 0.08362 | 0.16063 | 0.06766 | 0.26859 | 0.18757 | 0.65924 |
LDOF | 5 | 0.16429 | 0.07172 | 0.12372 | 0.02667 | 0.18997 | 0.10026 | 0.54421 |
LDOF | 50 | 0.13214 | 0.03602 | 0.13796 | 0.04249 | 0.23737 | 0.15290 | 0.64085 |
LDOF | 63 | 0.12500 | 0.02809 | 0.13940 | 0.04408 | 0.24504 | 0.16142 | 0.63982 |
LDOF | 100 | 0.15357 | 0.05982 | 0.15273 | 0.05889 | 0.23774 | 0.15331 | 0.63636 |
ODIN | 85 | 0.16413 | 0.07155 | 0.15213 | 0.05822 | 0.24357 | 0.15979 | 0.63023 |
ODIN | 100 | 0.17857 | 0.08759 | 0.15381 | 0.06008 | 0.23883 | 0.15452 | 0.63347 |
FastABOD | 6 | 0.21429 | 0.12726 | 0.16329 | 0.07061 | 0.25241 | 0.16961 | 0.63655 |
FastABOD | 18 | 0.21786 | 0.13123 | 0.16178 | 0.06894 | 0.23915 | 0.15488 | 0.63396 |
FastABOD | 62 | 0.20714 | 0.11933 | 0.16794 | 0.07578 | 0.23884 | 0.15454 | 0.63743 |
FastABOD | 78 | 0.21429 | 0.12726 | 0.16764 | 0.07544 | 0.23570 | 0.15104 | 0.63825 |
KDEOS | 20 | 0.15357 | 0.05982 | 0.12949 | 0.03308 | 0.19001 | 0.10030 | 0.54847 |
KDEOS | 21 | 0.14286 | 0.04792 | 0.12995 | 0.03359 | 0.19068 | 0.10104 | 0.55104 |
KDEOS | 39 | 0.11429 | 0.01618 | 0.10993 | 0.01135 | 0.19984 | 0.11122 | 0.55378 |
KDEOS | 92 | 0.08571 | -0.01555 | 0.10591 | 0.00689 | 0.21294 | 0.12577 | 0.54351 |
LDF | 6 | 0.14286 | 0.04792 | 0.15085 | 0.05680 | 0.27483 | 0.19451 | 0.68318 |
LDF | 7 | 0.15000 | 0.05585 | 0.15046 | 0.05636 | 0.26510 | 0.18370 | 0.68373 |
LDF | 69 | 0.19643 | 0.10743 | 0.14528 | 0.05061 | 0.21478 | 0.12781 | 0.61340 |
INFLO | 71 | 0.18929 | 0.09949 | 0.16259 | 0.06984 | 0.27736 | 0.19732 | 0.66390 |
INFLO | 75 | 0.18929 | 0.09949 | 0.16441 | 0.07186 | 0.28233 | 0.20284 | 0.66771 |
INFLO | 91 | 0.16786 | 0.07569 | 0.16610 | 0.07373 | 0.27336 | 0.19287 | 0.67079 |
INFLO | 92 | 0.16786 | 0.07569 | 0.16602 | 0.07365 | 0.27483 | 0.19452 | 0.67134 |
COF | 33 | 0.14286 | 0.04792 | 0.14271 | 0.04776 | 0.25418 | 0.17157 | 0.65241 |
COF | 40 | 0.12857 | 0.03205 | 0.14228 | 0.04728 | 0.25826 | 0.17610 | 0.65651 |
COF | 54 | 0.12857 | 0.03205 | 0.13611 | 0.04043 | 0.26424 | 0.18275 | 0.64510 |
COF | 97 | 0.15714 | 0.06379 | 0.13206 | 0.03593 | 0.22770 | 0.14216 | 0.60815 |
Plots
Normalized, duplicates
This version contains 57 attributes, 3097 objects, 309 outliers (9.98%)
Download raw algorithm results (25.7 MB) Download raw algorithm evaluation table (75.0 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 | 0.27832 | 0.19833 | 0.23077 | 0.14552 | 0.35443 | 0.28288 | 0.75854 |
KNN | 5 | 0.26861 | 0.18755 | 0.22640 | 0.14066 | 0.34539 | 0.27284 | 0.76246 |
KNN | 6 | 0.28479 | 0.20552 | 0.22757 | 0.14196 | 0.34116 | 0.26813 | 0.75986 |
KNNW | 1 | 0.27832 | 0.19833 | 0.21585 | 0.12894 | 0.32552 | 0.25077 | 0.68906 |
KNNW | 5 | 0.27184 | 0.19114 | 0.22651 | 0.14079 | 0.33409 | 0.26029 | 0.74788 |
KNNW | 10 | 0.27184 | 0.19114 | 0.22567 | 0.13985 | 0.33248 | 0.25849 | 0.75804 |
KNNW | 11 | 0.26861 | 0.18755 | 0.22531 | 0.13945 | 0.34043 | 0.26732 | 0.75767 |
LOF | 11 | 0.18123 | 0.09048 | 0.15353 | 0.05972 | 0.27287 | 0.19228 | 0.68290 |
LOF | 15 | 0.17152 | 0.07970 | 0.15823 | 0.06494 | 0.28535 | 0.20615 | 0.69576 |
LOF | 21 | 0.11974 | 0.02218 | 0.15106 | 0.05697 | 0.29242 | 0.21400 | 0.69342 |
SimplifiedLOF | 2 | 0.12945 | 0.03296 | 0.11261 | 0.01426 | 0.19287 | 0.10341 | 0.53576 |
SimplifiedLOF | 24 | 0.11003 | 0.01140 | 0.13653 | 0.04083 | 0.26519 | 0.18375 | 0.65450 |
SimplifiedLOF | 40 | 0.08738 | -0.01377 | 0.13505 | 0.03918 | 0.26045 | 0.17848 | 0.66019 |
SimplifiedLOF | 81 | 0.07767 | -0.02455 | 0.12836 | 0.03176 | 0.26580 | 0.18442 | 0.64025 |
LoOP | 13 | 0.17152 | 0.07970 | 0.14460 | 0.04979 | 0.25303 | 0.17024 | 0.64689 |
LoOP | 23 | 0.16181 | 0.06891 | 0.15296 | 0.05908 | 0.26648 | 0.18518 | 0.67099 |
LoOP | 51 | 0.11650 | 0.01859 | 0.14527 | 0.05054 | 0.26667 | 0.18539 | 0.67720 |
LoOP | 66 | 0.10680 | 0.00780 | 0.14321 | 0.04825 | 0.27133 | 0.19057 | 0.67517 |
LDOF | 13 | 0.16505 | 0.07251 | 0.13408 | 0.03811 | 0.23612 | 0.15146 | 0.61677 |
LDOF | 73 | 0.12298 | 0.02578 | 0.14409 | 0.04923 | 0.26809 | 0.18697 | 0.67472 |
LDOF | 97 | 0.12945 | 0.03296 | 0.14537 | 0.05065 | 0.26124 | 0.17936 | 0.67075 |
ODIN | 91 | 0.18123 | 0.09048 | 0.16586 | 0.07342 | 0.27816 | 0.19815 | 0.67059 |
ODIN | 95 | 0.17912 | 0.08814 | 0.16662 | 0.07425 | 0.27676 | 0.19660 | 0.67105 |
ODIN | 100 | 0.18447 | 0.09408 | 0.16532 | 0.07281 | 0.27474 | 0.19435 | 0.67017 |
FastABOD | 20 | 0.20065 | 0.11205 | 0.16569 | 0.07322 | 0.28443 | 0.20512 | 0.67313 |
FastABOD | 21 | 0.20388 | 0.11565 | 0.16583 | 0.07338 | 0.28471 | 0.20543 | 0.67312 |
FastABOD | 26 | 0.20712 | 0.11924 | 0.16509 | 0.07256 | 0.28141 | 0.20176 | 0.67245 |
FastABOD | 99 | 0.20065 | 0.11205 | 0.16959 | 0.07755 | 0.28297 | 0.20350 | 0.67153 |
KDEOS | 9 | 0.16505 | 0.07251 | 0.12371 | 0.02659 | 0.20062 | 0.11202 | 0.56687 |
KDEOS | 52 | 0.11003 | 0.01140 | 0.11378 | 0.01555 | 0.22037 | 0.13396 | 0.58226 |
KDEOS | 62 | 0.10680 | 0.00780 | 0.11598 | 0.01801 | 0.21825 | 0.13160 | 0.59171 |
LDF | 5 | 0.20065 | 0.11205 | 0.17629 | 0.08500 | 0.29050 | 0.21186 | 0.70003 |
LDF | 6 | 0.17799 | 0.08689 | 0.17436 | 0.08286 | 0.29644 | 0.21846 | 0.71632 |
LDF | 7 | 0.18123 | 0.09048 | 0.17685 | 0.08562 | 0.29101 | 0.21243 | 0.72008 |
LDF | 8 | 0.15858 | 0.06532 | 0.17172 | 0.07992 | 0.29481 | 0.21665 | 0.72497 |
INFLO | 14 | 0.17152 | 0.07970 | 0.15134 | 0.05729 | 0.26524 | 0.18381 | 0.67069 |
INFLO | 15 | 0.17152 | 0.07970 | 0.15218 | 0.05821 | 0.26786 | 0.18671 | 0.67384 |
INFLO | 24 | 0.11650 | 0.01859 | 0.14737 | 0.05288 | 0.26929 | 0.18831 | 0.67870 |
INFLO | 49 | 0.09061 | -0.01017 | 0.13899 | 0.04356 | 0.27511 | 0.19477 | 0.67376 |
COF | 22 | 0.16828 | 0.07610 | 0.15778 | 0.06444 | 0.28198 | 0.20241 | 0.68311 |
COF | 34 | 0.14239 | 0.04734 | 0.15783 | 0.06449 | 0.29515 | 0.21703 | 0.69181 |
COF | 39 | 0.14887 | 0.05453 | 0.15976 | 0.06663 | 0.28771 | 0.20877 | 0.69699 |
Plots
Not normalized, without duplicates
This version contains 57 attributes, 2808 objects, 280 outliers (9.97%)
Download raw algorithm results (24.4 MB) Download raw algorithm evaluation table (67.6 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 | 3 | 0.32143 | 0.24627 | 0.29086 | 0.21231 | 0.35105 | 0.27917 | 0.75268 |
KNN | 4 | 0.33571 | 0.26214 | 0.29055 | 0.21197 | 0.35345 | 0.28184 | 0.75072 |
KNNW | 6 | 0.32500 | 0.25024 | 0.28960 | 0.21092 | 0.34870 | 0.27657 | 0.75115 |
KNNW | 8 | 0.33214 | 0.25817 | 0.28840 | 0.20958 | 0.35040 | 0.27846 | 0.75138 |
KNNW | 9 | 0.33214 | 0.25817 | 0.28749 | 0.20857 | 0.35102 | 0.27914 | 0.75123 |
KNNW | 14 | 0.32857 | 0.25420 | 0.28375 | 0.20442 | 0.34375 | 0.27106 | 0.75161 |
LOF | 84 | 0.17143 | 0.07966 | 0.16966 | 0.07769 | 0.23635 | 0.15177 | 0.63225 |
LOF | 100 | 0.15357 | 0.05982 | 0.17537 | 0.08404 | 0.25000 | 0.16693 | 0.64495 |
SimplifiedLOF | 56 | 0.18571 | 0.09552 | 0.16202 | 0.06920 | 0.21098 | 0.12358 | 0.58772 |
SimplifiedLOF | 100 | 0.17143 | 0.07966 | 0.17455 | 0.08313 | 0.22506 | 0.13923 | 0.61030 |
LoOP | 98 | 0.16071 | 0.06776 | 0.14871 | 0.05442 | 0.20769 | 0.11994 | 0.57412 |
LoOP | 100 | 0.16071 | 0.06776 | 0.14928 | 0.05506 | 0.20700 | 0.11917 | 0.57597 |
LDOF | 5 | 0.14643 | 0.05189 | 0.11481 | 0.01677 | 0.18164 | 0.09100 | 0.48199 |
LDOF | 96 | 0.12143 | 0.02412 | 0.12392 | 0.02689 | 0.18685 | 0.09679 | 0.50938 |
LDOF | 99 | 0.12500 | 0.02809 | 0.12482 | 0.02788 | 0.18616 | 0.09601 | 0.51189 |
LDOF | 100 | 0.12500 | 0.02809 | 0.12485 | 0.02792 | 0.18623 | 0.09610 | 0.51172 |
ODIN | 13 | 0.08821 | -0.01277 | 0.11072 | 0.01223 | 0.21021 | 0.12273 | 0.56959 |
ODIN | 55 | 0.11327 | 0.01505 | 0.11085 | 0.01237 | 0.20706 | 0.11924 | 0.55034 |
ODIN | 99 | 0.10036 | 0.00071 | 0.11492 | 0.01689 | 0.20344 | 0.11522 | 0.55219 |
FastABOD | 3 | 0.29643 | 0.21850 | 0.27203 | 0.19140 | 0.32647 | 0.25187 | 0.75222 |
FastABOD | 5 | 0.29643 | 0.21850 | 0.27359 | 0.19313 | 0.32773 | 0.25327 | 0.76001 |
FastABOD | 6 | 0.28929 | 0.21057 | 0.27139 | 0.19068 | 0.32682 | 0.25226 | 0.76065 |
FastABOD | 13 | 0.29286 | 0.21453 | 0.27100 | 0.19026 | 0.33263 | 0.25871 | 0.75811 |
KDEOS | 77 | 0.13929 | 0.04395 | 0.12347 | 0.02639 | 0.20852 | 0.12086 | 0.58533 |
KDEOS | 93 | 0.13929 | 0.04395 | 0.12601 | 0.02921 | 0.21515 | 0.12821 | 0.58847 |
KDEOS | 95 | 0.12857 | 0.03205 | 0.12644 | 0.02969 | 0.21322 | 0.12608 | 0.58923 |
KDEOS | 100 | 0.13571 | 0.03999 | 0.12629 | 0.02952 | 0.21387 | 0.12680 | 0.59043 |
LDF | 84 | 0.26071 | 0.17883 | 0.24173 | 0.15774 | 0.30093 | 0.22350 | 0.71119 |
LDF | 86 | 0.26429 | 0.18280 | 0.24544 | 0.16186 | 0.29658 | 0.21867 | 0.71179 |
LDF | 99 | 0.27857 | 0.19867 | 0.24507 | 0.16146 | 0.29838 | 0.22066 | 0.72057 |
LDF | 100 | 0.28214 | 0.20263 | 0.24217 | 0.15823 | 0.29630 | 0.21835 | 0.72056 |
INFLO | 90 | 0.16429 | 0.07172 | 0.16011 | 0.06708 | 0.28277 | 0.20333 | 0.60286 |
INFLO | 97 | 0.16071 | 0.06776 | 0.16356 | 0.07092 | 0.29106 | 0.21254 | 0.61708 |
INFLO | 99 | 0.16071 | 0.06776 | 0.16415 | 0.07157 | 0.29106 | 0.21254 | 0.61228 |
COF | 79 | 0.21071 | 0.12329 | 0.20981 | 0.12229 | 0.24301 | 0.15916 | 0.62864 |
COF | 99 | 0.20357 | 0.11536 | 0.21930 | 0.13283 | 0.25574 | 0.17330 | 0.64898 |
COF | 100 | 0.20000 | 0.11139 | 0.21896 | 0.13245 | 0.25686 | 0.17455 | 0.64818 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 3097 objects, 309 outliers (9.98%)
Download raw algorithm results (25.3 MB) Download raw algorithm evaluation table (72.8 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 | 5 | 0.35599 | 0.28461 | 0.31449 | 0.23851 | 0.36672 | 0.29654 | 0.77890 |
KNN | 6 | 0.35922 | 0.28820 | 0.31351 | 0.23742 | 0.36364 | 0.29311 | 0.77806 |
KNN | 7 | 0.35599 | 0.28461 | 0.31062 | 0.23421 | 0.36303 | 0.29243 | 0.77946 |
KNNW | 6 | 0.33981 | 0.26664 | 0.31393 | 0.23790 | 0.36608 | 0.29583 | 0.78011 |
KNNW | 8 | 0.34304 | 0.27023 | 0.31671 | 0.24098 | 0.36592 | 0.29565 | 0.78091 |
KNNW | 9 | 0.34304 | 0.27023 | 0.31675 | 0.24103 | 0.36490 | 0.29451 | 0.78025 |
LOF | 83 | 0.17476 | 0.08329 | 0.15852 | 0.06526 | 0.25273 | 0.16991 | 0.64433 |
LOF | 99 | 0.17476 | 0.08329 | 0.17042 | 0.07848 | 0.26064 | 0.17869 | 0.65989 |
LOF | 100 | 0.17476 | 0.08329 | 0.17100 | 0.07912 | 0.26059 | 0.17864 | 0.66057 |
SimplifiedLOF | 78 | 0.17152 | 0.07970 | 0.13387 | 0.03787 | 0.22892 | 0.14345 | 0.61841 |
SimplifiedLOF | 100 | 0.15858 | 0.06532 | 0.14835 | 0.05396 | 0.23545 | 0.15071 | 0.63001 |
LoOP | 2 | 0.16505 | 0.07251 | 0.13665 | 0.04096 | 0.21558 | 0.12864 | 0.55300 |
LoOP | 97 | 0.14887 | 0.05453 | 0.13596 | 0.04020 | 0.22253 | 0.13636 | 0.60434 |
LoOP | 100 | 0.15210 | 0.05813 | 0.13749 | 0.04189 | 0.22206 | 0.13584 | 0.60631 |
LDOF | 3 | 0.16828 | 0.07610 | 0.11742 | 0.01961 | 0.19144 | 0.10182 | 0.49631 |
LDOF | 84 | 0.12298 | 0.02578 | 0.11205 | 0.01363 | 0.19685 | 0.10784 | 0.54765 |
LDOF | 100 | 0.12621 | 0.02937 | 0.11582 | 0.01782 | 0.19554 | 0.10638 | 0.55359 |
ODIN | 2 | 0.12542 | 0.02849 | 0.11799 | 0.02023 | 0.20340 | 0.11511 | 0.57831 |
ODIN | 11 | 0.10814 | 0.00930 | 0.12038 | 0.02289 | 0.21790 | 0.13122 | 0.59787 |
ODIN | 18 | 0.09999 | 0.00024 | 0.11924 | 0.02162 | 0.22431 | 0.13834 | 0.59874 |
FastABOD | 8 | 0.27184 | 0.19114 | 0.24168 | 0.15763 | 0.32248 | 0.24738 | 0.74739 |
FastABOD | 70 | 0.28479 | 0.20552 | 0.27277 | 0.19217 | 0.33622 | 0.26265 | 0.74676 |
FastABOD | 97 | 0.28479 | 0.20552 | 0.27409 | 0.19363 | 0.33759 | 0.26417 | 0.74701 |
FastABOD | 100 | 0.28479 | 0.20552 | 0.27416 | 0.19371 | 0.33759 | 0.26417 | 0.74703 |
KDEOS | 94 | 0.13592 | 0.04015 | 0.13345 | 0.03741 | 0.23423 | 0.14936 | 0.62217 |
KDEOS | 98 | 0.14563 | 0.05094 | 0.13607 | 0.04032 | 0.23338 | 0.14842 | 0.62517 |
KDEOS | 99 | 0.14239 | 0.04734 | 0.13658 | 0.04088 | 0.23374 | 0.14881 | 0.62578 |
KDEOS | 100 | 0.14563 | 0.05094 | 0.13691 | 0.04125 | 0.23306 | 0.14806 | 0.62548 |
LDF | 86 | 0.31392 | 0.23788 | 0.26736 | 0.18616 | 0.31545 | 0.23958 | 0.70438 |
LDF | 92 | 0.31068 | 0.23428 | 0.27114 | 0.19036 | 0.33585 | 0.26224 | 0.71790 |
LDF | 99 | 0.31068 | 0.23428 | 0.27664 | 0.19647 | 0.32841 | 0.25398 | 0.72558 |
LDF | 100 | 0.30744 | 0.23069 | 0.27771 | 0.19766 | 0.32971 | 0.25542 | 0.72547 |
INFLO | 99 | 0.17152 | 0.07970 | 0.16076 | 0.06774 | 0.30130 | 0.22386 | 0.64778 |
INFLO | 100 | 0.17152 | 0.07970 | 0.16168 | 0.06877 | 0.30386 | 0.22671 | 0.64939 |
COF | 87 | 0.19094 | 0.10127 | 0.15255 | 0.05863 | 0.25400 | 0.17132 | 0.65472 |
COF | 89 | 0.19741 | 0.10846 | 0.15547 | 0.06187 | 0.25252 | 0.16967 | 0.65702 |
COF | 100 | 0.18770 | 0.09767 | 0.17150 | 0.07968 | 0.24978 | 0.16663 | 0.65954 |