SpamBase (5% of outliers version#08)
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, 2661 objects, 133 outliers (5.00%)
Download raw algorithm results (23.8 MB) Download raw algorithm evaluation table (70.6 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 | 1 | 0.21805 | 0.17691 | 0.14480 | 0.09981 | 0.25708 | 0.21800 | 0.70231 |
KNN | 5 | 0.20301 | 0.16108 | 0.15936 | 0.11513 | 0.26559 | 0.22696 | 0.74418 |
KNN | 6 | 0.20301 | 0.16108 | 0.16115 | 0.11702 | 0.26667 | 0.22809 | 0.74109 |
KNN | 8 | 0.20301 | 0.16108 | 0.15471 | 0.11024 | 0.27089 | 0.23253 | 0.73651 |
KNNW | 1 | 0.24060 | 0.20065 | 0.14865 | 0.10386 | 0.26519 | 0.22653 | 0.69311 |
KNNW | 6 | 0.21053 | 0.16899 | 0.15452 | 0.11004 | 0.26752 | 0.22898 | 0.73886 |
KNNW | 9 | 0.22556 | 0.18482 | 0.15721 | 0.11287 | 0.25696 | 0.21787 | 0.74438 |
LOF | 81 | 0.11278 | 0.06610 | 0.12733 | 0.08142 | 0.23611 | 0.19592 | 0.71486 |
LOF | 90 | 0.12782 | 0.08193 | 0.12746 | 0.08155 | 0.24071 | 0.20077 | 0.71419 |
LOF | 95 | 0.13534 | 0.08985 | 0.12761 | 0.08172 | 0.23845 | 0.19838 | 0.71348 |
LOF | 99 | 0.13534 | 0.08985 | 0.12882 | 0.08298 | 0.23669 | 0.19653 | 0.71298 |
SimplifiedLOF | 13 | 0.12782 | 0.08193 | 0.08534 | 0.03721 | 0.18048 | 0.13736 | 0.64395 |
SimplifiedLOF | 41 | 0.04511 | -0.00512 | 0.08536 | 0.03724 | 0.18774 | 0.14501 | 0.69970 |
SimplifiedLOF | 42 | 0.04511 | -0.00512 | 0.08555 | 0.03744 | 0.18972 | 0.14709 | 0.69937 |
SimplifiedLOF | 100 | 0.10526 | 0.05819 | 0.10255 | 0.05533 | 0.18022 | 0.13709 | 0.67324 |
LoOP | 12 | 0.13534 | 0.08985 | 0.09165 | 0.04386 | 0.18727 | 0.14451 | 0.64515 |
LoOP | 100 | 0.10526 | 0.05819 | 0.12054 | 0.07427 | 0.22057 | 0.17956 | 0.71137 |
LDOF | 19 | 0.13534 | 0.08985 | 0.09602 | 0.04846 | 0.16814 | 0.12438 | 0.66157 |
LDOF | 53 | 0.08271 | 0.03445 | 0.09838 | 0.05095 | 0.18052 | 0.13740 | 0.70049 |
LDOF | 61 | 0.07519 | 0.02653 | 0.09896 | 0.05155 | 0.18598 | 0.14315 | 0.69762 |
LDOF | 95 | 0.09023 | 0.04236 | 0.11250 | 0.06580 | 0.17433 | 0.13090 | 0.68809 |
ODIN | 7 | 0.12587 | 0.07989 | 0.07106 | 0.02219 | 0.13043 | 0.08469 | 0.59579 |
ODIN | 97 | 0.10359 | 0.05643 | 0.10410 | 0.05696 | 0.19237 | 0.14988 | 0.69880 |
ODIN | 100 | 0.10479 | 0.05770 | 0.10436 | 0.05724 | 0.19195 | 0.14944 | 0.69980 |
FastABOD | 4 | 0.20301 | 0.16108 | 0.13094 | 0.08522 | 0.23295 | 0.19260 | 0.71375 |
FastABOD | 8 | 0.21053 | 0.16899 | 0.13216 | 0.08650 | 0.23598 | 0.19578 | 0.70893 |
FastABOD | 17 | 0.21053 | 0.16899 | 0.13103 | 0.08531 | 0.24480 | 0.20507 | 0.70397 |
FastABOD | 60 | 0.21053 | 0.16899 | 0.14305 | 0.09797 | 0.23382 | 0.19351 | 0.70462 |
KDEOS | 13 | 0.05263 | 0.00279 | 0.05984 | 0.01038 | 0.13313 | 0.08753 | 0.54832 |
KDEOS | 22 | 0.08271 | 0.03445 | 0.06137 | 0.01198 | 0.11601 | 0.06950 | 0.56323 |
KDEOS | 48 | 0.05263 | 0.00279 | 0.05861 | 0.00909 | 0.11442 | 0.06783 | 0.57759 |
KDEOS | 100 | 0.07519 | 0.02653 | 0.06369 | 0.01443 | 0.11479 | 0.06822 | 0.56854 |
LDF | 7 | 0.09023 | 0.04236 | 0.09263 | 0.04489 | 0.19403 | 0.15163 | 0.72001 |
LDF | 72 | 0.19549 | 0.15316 | 0.10934 | 0.06248 | 0.21661 | 0.17539 | 0.68000 |
LDF | 73 | 0.18797 | 0.14525 | 0.10996 | 0.06314 | 0.21898 | 0.17789 | 0.68190 |
LDF | 77 | 0.18797 | 0.14525 | 0.11071 | 0.06393 | 0.21379 | 0.17243 | 0.68740 |
INFLO | 10 | 0.14286 | 0.09776 | 0.09889 | 0.05148 | 0.20704 | 0.16532 | 0.66835 |
INFLO | 82 | 0.12030 | 0.07402 | 0.12846 | 0.08261 | 0.23611 | 0.19592 | 0.72736 |
INFLO | 90 | 0.11278 | 0.06610 | 0.12922 | 0.08340 | 0.24071 | 0.20077 | 0.72724 |
INFLO | 100 | 0.13534 | 0.08985 | 0.13097 | 0.08525 | 0.23988 | 0.19988 | 0.72584 |
COF | 16 | 0.10526 | 0.05819 | 0.08771 | 0.03971 | 0.17427 | 0.13083 | 0.64900 |
COF | 25 | 0.07519 | 0.02653 | 0.09267 | 0.04493 | 0.17899 | 0.13579 | 0.67615 |
COF | 28 | 0.07519 | 0.02653 | 0.09159 | 0.04380 | 0.18497 | 0.14209 | 0.68197 |
COF | 44 | 0.06767 | 0.01862 | 0.08356 | 0.03535 | 0.16615 | 0.12228 | 0.68573 |
Plots
Normalized, duplicates
This version contains 57 attributes, 2934 objects, 146 outliers (4.98%)
Download raw algorithm results (24.2 MB) Download raw algorithm evaluation table (72.4 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 | 1 | 0.26027 | 0.22154 | 0.17431 | 0.13107 | 0.27463 | 0.23664 | 0.78172 |
KNNW | 3 | 0.26027 | 0.22154 | 0.16720 | 0.12359 | 0.27389 | 0.23586 | 0.77829 |
KNNW | 4 | 0.24658 | 0.20712 | 0.16488 | 0.12115 | 0.26748 | 0.22912 | 0.78038 |
LOF | 8 | 0.08904 | 0.04134 | 0.09741 | 0.05015 | 0.18452 | 0.14181 | 0.74278 |
LOF | 13 | 0.05479 | 0.00530 | 0.10209 | 0.05507 | 0.19704 | 0.15500 | 0.75570 |
LOF | 14 | 0.05479 | 0.00530 | 0.10128 | 0.05421 | 0.19932 | 0.15740 | 0.75422 |
SimplifiedLOF | 23 | 0.03425 | -0.01633 | 0.08533 | 0.03743 | 0.17544 | 0.13226 | 0.72109 |
SimplifiedLOF | 30 | 0.03425 | -0.01633 | 0.08365 | 0.03567 | 0.18251 | 0.13970 | 0.71811 |
SimplifiedLOF | 96 | 0.06164 | 0.01250 | 0.07139 | 0.02276 | 0.14568 | 0.10094 | 0.64689 |
LoOP | 10 | 0.08904 | 0.04134 | 0.09260 | 0.04508 | 0.16623 | 0.12256 | 0.71867 |
LoOP | 22 | 0.07534 | 0.02692 | 0.09984 | 0.05270 | 0.18892 | 0.14644 | 0.73802 |
LoOP | 24 | 0.07534 | 0.02692 | 0.09947 | 0.05232 | 0.19092 | 0.14855 | 0.73863 |
LoOP | 27 | 0.06849 | 0.01971 | 0.09822 | 0.05100 | 0.19355 | 0.15132 | 0.73674 |
LDOF | 16 | 0.08219 | 0.03413 | 0.08784 | 0.04007 | 0.16781 | 0.12423 | 0.70610 |
LDOF | 39 | 0.04110 | -0.00912 | 0.09059 | 0.04297 | 0.19022 | 0.14781 | 0.72083 |
LDOF | 52 | 0.04110 | -0.00912 | 0.09134 | 0.04376 | 0.18370 | 0.14095 | 0.72326 |
LDOF | 100 | 0.04795 | -0.00191 | 0.09869 | 0.05149 | 0.17179 | 0.12842 | 0.70500 |
ODIN | 50 | 0.13405 | 0.08870 | 0.10171 | 0.05467 | 0.18719 | 0.14463 | 0.70420 |
ODIN | 99 | 0.16569 | 0.12200 | 0.10851 | 0.06183 | 0.20359 | 0.16189 | 0.70026 |
ODIN | 100 | 0.16438 | 0.12062 | 0.10877 | 0.06210 | 0.20441 | 0.16275 | 0.70058 |
FastABOD | 21 | 0.14384 | 0.09900 | 0.10276 | 0.05578 | 0.19287 | 0.15061 | 0.71915 |
FastABOD | 27 | 0.15068 | 0.10621 | 0.10247 | 0.05547 | 0.19225 | 0.14995 | 0.71817 |
FastABOD | 92 | 0.15068 | 0.10621 | 0.10580 | 0.05898 | 0.20137 | 0.15954 | 0.71735 |
FastABOD | 99 | 0.15068 | 0.10621 | 0.10717 | 0.06042 | 0.19832 | 0.15634 | 0.71767 |
KDEOS | 42 | 0.06164 | 0.01250 | 0.07325 | 0.02472 | 0.14375 | 0.09891 | 0.65640 |
KDEOS | 48 | 0.08219 | 0.03413 | 0.07526 | 0.02684 | 0.14107 | 0.09609 | 0.66081 |
KDEOS | 62 | 0.08904 | 0.04134 | 0.07544 | 0.02702 | 0.13919 | 0.09412 | 0.65982 |
LDF | 5 | 0.13014 | 0.08458 | 0.11685 | 0.07060 | 0.22076 | 0.17996 | 0.75872 |
LDF | 6 | 0.15068 | 0.10621 | 0.11456 | 0.06819 | 0.20496 | 0.16332 | 0.76178 |
INFLO | 6 | 0.08904 | 0.04134 | 0.09251 | 0.04498 | 0.17049 | 0.12705 | 0.72384 |
INFLO | 13 | 0.06164 | 0.01250 | 0.09990 | 0.05277 | 0.19792 | 0.15591 | 0.75157 |
INFLO | 16 | 0.06164 | 0.01250 | 0.09825 | 0.05103 | 0.20459 | 0.16293 | 0.74245 |
COF | 21 | 0.09589 | 0.04854 | 0.09660 | 0.04930 | 0.18880 | 0.14632 | 0.73621 |
COF | 29 | 0.08219 | 0.03413 | 0.10015 | 0.05303 | 0.19958 | 0.15766 | 0.74721 |
Plots
Not normalized, without duplicates
This version contains 57 attributes, 2661 objects, 133 outliers (5.00%)
Download raw algorithm results (23.2 MB) Download raw algorithm evaluation table (67.7 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 | 3 | 0.29323 | 0.25605 | 0.22261 | 0.18171 | 0.30631 | 0.26981 | 0.76772 |
KNN | 5 | 0.29323 | 0.25605 | 0.23165 | 0.19123 | 0.30978 | 0.27347 | 0.77126 |
KNN | 6 | 0.28571 | 0.24814 | 0.23171 | 0.19129 | 0.29798 | 0.26105 | 0.77202 |
KNN | 8 | 0.29323 | 0.25605 | 0.22834 | 0.18774 | 0.30000 | 0.26317 | 0.77395 |
KNNW | 8 | 0.29323 | 0.25605 | 0.22719 | 0.18653 | 0.29752 | 0.26056 | 0.77190 |
KNNW | 9 | 0.29323 | 0.25605 | 0.22793 | 0.18731 | 0.29658 | 0.25957 | 0.77251 |
KNNW | 15 | 0.27068 | 0.23231 | 0.22664 | 0.18595 | 0.30448 | 0.26789 | 0.77355 |
KNNW | 17 | 0.26316 | 0.22439 | 0.22615 | 0.18544 | 0.30539 | 0.26885 | 0.77320 |
LOF | 33 | 0.15789 | 0.11359 | 0.10520 | 0.05812 | 0.16990 | 0.12623 | 0.65723 |
LOF | 36 | 0.15038 | 0.10568 | 0.10630 | 0.05928 | 0.17391 | 0.13045 | 0.65980 |
LOF | 100 | 0.15038 | 0.10568 | 0.12206 | 0.07587 | 0.16803 | 0.12426 | 0.68317 |
SimplifiedLOF | 46 | 0.18045 | 0.13733 | 0.11508 | 0.06853 | 0.18327 | 0.14030 | 0.65941 |
SimplifiedLOF | 98 | 0.18045 | 0.13733 | 0.13604 | 0.09058 | 0.20264 | 0.16069 | 0.67810 |
SimplifiedLOF | 99 | 0.18045 | 0.13733 | 0.13635 | 0.09091 | 0.20444 | 0.16259 | 0.67792 |
SimplifiedLOF | 100 | 0.18045 | 0.13733 | 0.13620 | 0.09076 | 0.20721 | 0.16550 | 0.67808 |
LoOP | 59 | 0.15789 | 0.11359 | 0.09540 | 0.04781 | 0.17021 | 0.12656 | 0.63330 |
LoOP | 62 | 0.15789 | 0.11359 | 0.09689 | 0.04937 | 0.17241 | 0.12887 | 0.63373 |
LoOP | 88 | 0.13534 | 0.08985 | 0.10495 | 0.05786 | 0.15625 | 0.11186 | 0.64793 |
LoOP | 98 | 0.14286 | 0.09776 | 0.10349 | 0.05633 | 0.15827 | 0.11399 | 0.65264 |
LDOF | 2 | 0.13534 | 0.08985 | 0.08831 | 0.04035 | 0.14987 | 0.10514 | 0.53579 |
LDOF | 67 | 0.15789 | 0.11359 | 0.08409 | 0.03590 | 0.16170 | 0.11760 | 0.57997 |
LDOF | 87 | 0.15038 | 0.10568 | 0.08683 | 0.03879 | 0.16667 | 0.12282 | 0.59608 |
LDOF | 100 | 0.15038 | 0.10568 | 0.08805 | 0.04007 | 0.15873 | 0.11447 | 0.60596 |
ODIN | 59 | 0.07519 | 0.02653 | 0.06464 | 0.01543 | 0.12560 | 0.07960 | 0.60219 |
ODIN | 96 | 0.07089 | 0.02201 | 0.06806 | 0.01903 | 0.13767 | 0.09230 | 0.61014 |
FastABOD | 4 | 0.26316 | 0.22439 | 0.19776 | 0.15556 | 0.28013 | 0.24226 | 0.77541 |
FastABOD | 7 | 0.24812 | 0.20856 | 0.19873 | 0.15657 | 0.28767 | 0.25020 | 0.78057 |
FastABOD | 13 | 0.24060 | 0.20065 | 0.19901 | 0.15686 | 0.27964 | 0.24174 | 0.77961 |
KDEOS | 76 | 0.09023 | 0.04236 | 0.07093 | 0.02205 | 0.14355 | 0.09849 | 0.63887 |
KDEOS | 85 | 0.11278 | 0.06610 | 0.07297 | 0.02420 | 0.14076 | 0.09556 | 0.63902 |
KDEOS | 99 | 0.10526 | 0.05819 | 0.07578 | 0.02716 | 0.13958 | 0.09431 | 0.64578 |
KDEOS | 100 | 0.09774 | 0.05028 | 0.07541 | 0.02677 | 0.14005 | 0.09481 | 0.64579 |
LDF | 69 | 0.24060 | 0.20065 | 0.17844 | 0.13522 | 0.25698 | 0.21789 | 0.72146 |
LDF | 70 | 0.24060 | 0.20065 | 0.18135 | 0.13828 | 0.25778 | 0.21873 | 0.72291 |
LDF | 77 | 0.23308 | 0.19273 | 0.17304 | 0.12953 | 0.27136 | 0.23302 | 0.72518 |
LDF | 100 | 0.24060 | 0.20065 | 0.15911 | 0.11487 | 0.26214 | 0.22332 | 0.73051 |
INFLO | 19 | 0.14286 | 0.09776 | 0.08919 | 0.04127 | 0.15024 | 0.10553 | 0.61913 |
INFLO | 74 | 0.10526 | 0.05819 | 0.10942 | 0.06256 | 0.17665 | 0.13333 | 0.68409 |
INFLO | 100 | 0.12030 | 0.07402 | 0.11409 | 0.06749 | 0.17722 | 0.13393 | 0.67564 |
COF | 67 | 0.24060 | 0.20065 | 0.18688 | 0.14410 | 0.27083 | 0.23247 | 0.68849 |
COF | 83 | 0.24060 | 0.20065 | 0.19557 | 0.15325 | 0.26316 | 0.22439 | 0.69814 |
COF | 86 | 0.24436 | 0.20461 | 0.19644 | 0.15417 | 0.26178 | 0.22294 | 0.69593 |
COF | 93 | 0.25564 | 0.21648 | 0.19553 | 0.15320 | 0.26455 | 0.22586 | 0.69707 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 2934 objects, 146 outliers (4.98%)
Download raw algorithm results (24.0 MB) Download raw algorithm evaluation table (70.3 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 | 0.21233 | 0.17108 | 0.16210 | 0.11822 | 0.22961 | 0.18926 | 0.77021 |
KNN | 2 | 0.20548 | 0.16387 | 0.16565 | 0.12196 | 0.22941 | 0.18906 | 0.76038 |
KNNW | 1 | 0.20548 | 0.16387 | 0.16098 | 0.11704 | 0.24642 | 0.20696 | 0.73900 |
KNNW | 2 | 0.22603 | 0.18550 | 0.16083 | 0.11689 | 0.23678 | 0.19681 | 0.75519 |
KNNW | 3 | 0.19863 | 0.15666 | 0.16502 | 0.12130 | 0.23151 | 0.19127 | 0.75887 |
LOF | 4 | 0.04795 | -0.00191 | 0.06484 | 0.01586 | 0.13648 | 0.09126 | 0.59713 |
LOF | 8 | 0.08904 | 0.04134 | 0.06675 | 0.01788 | 0.12658 | 0.08084 | 0.59116 |
LOF | 100 | 0.05479 | 0.00530 | 0.07074 | 0.02207 | 0.12847 | 0.08283 | 0.60613 |
SimplifiedLOF | 5 | 0.05479 | 0.00530 | 0.06477 | 0.01579 | 0.13004 | 0.08448 | 0.61142 |
SimplifiedLOF | 7 | 0.09589 | 0.04854 | 0.06835 | 0.01956 | 0.12786 | 0.08219 | 0.60987 |
LoOP | 1 | 0.10274 | 0.05575 | 0.06792 | 0.01911 | 0.11054 | 0.06396 | 0.55286 |
LoOP | 6 | 0.07534 | 0.02692 | 0.06735 | 0.01851 | 0.13031 | 0.08477 | 0.60388 |
LoOP | 7 | 0.07534 | 0.02692 | 0.06891 | 0.02015 | 0.12698 | 0.08127 | 0.60620 |
LoOP | 9 | 0.09589 | 0.04854 | 0.06990 | 0.02120 | 0.12421 | 0.07835 | 0.60027 |
LDOF | 2 | 0.08904 | 0.04134 | 0.06329 | 0.01423 | 0.10213 | 0.05511 | 0.49129 |
LDOF | 16 | 0.04110 | -0.00912 | 0.05364 | 0.00408 | 0.11301 | 0.06656 | 0.52498 |
LDOF | 19 | 0.04795 | -0.00191 | 0.05366 | 0.00410 | 0.11013 | 0.06353 | 0.52635 |
ODIN | 9 | 0.03986 | -0.01042 | 0.06541 | 0.01647 | 0.13272 | 0.08730 | 0.62890 |
ODIN | 51 | 0.06164 | 0.01250 | 0.05393 | 0.00439 | 0.11336 | 0.06693 | 0.55111 |
FastABOD | 8 | 0.17808 | 0.13504 | 0.12740 | 0.08171 | 0.21834 | 0.17741 | 0.75292 |
FastABOD | 15 | 0.17808 | 0.13504 | 0.13112 | 0.08561 | 0.22173 | 0.18097 | 0.75052 |
FastABOD | 63 | 0.18493 | 0.14225 | 0.13316 | 0.08777 | 0.21826 | 0.17733 | 0.74693 |
FastABOD | 100 | 0.18493 | 0.14225 | 0.14356 | 0.09871 | 0.22129 | 0.18052 | 0.74865 |
KDEOS | 48 | 0.05479 | 0.00530 | 0.06562 | 0.01669 | 0.13915 | 0.09407 | 0.61059 |
KDEOS | 56 | 0.07534 | 0.02692 | 0.06721 | 0.01837 | 0.13574 | 0.09048 | 0.61317 |
KDEOS | 80 | 0.09589 | 0.04854 | 0.06762 | 0.01880 | 0.12785 | 0.08218 | 0.60407 |
KDEOS | 100 | 0.09589 | 0.04854 | 0.07120 | 0.02257 | 0.12704 | 0.08133 | 0.60620 |
LDF | 85 | 0.14384 | 0.09900 | 0.09365 | 0.04619 | 0.16327 | 0.11945 | 0.64558 |
LDF | 90 | 0.15753 | 0.11342 | 0.09485 | 0.04745 | 0.16194 | 0.11806 | 0.65445 |
LDF | 97 | 0.13699 | 0.09179 | 0.10251 | 0.05551 | 0.15638 | 0.11220 | 0.67022 |
LDF | 100 | 0.14384 | 0.09900 | 0.09718 | 0.04990 | 0.16181 | 0.11792 | 0.67541 |
INFLO | 9 | 0.06849 | 0.01971 | 0.06790 | 0.01908 | 0.14345 | 0.09859 | 0.60963 |
INFLO | 11 | 0.07534 | 0.02692 | 0.06375 | 0.01473 | 0.13564 | 0.09038 | 0.58520 |
INFLO | 96 | 0.06164 | 0.01250 | 0.06691 | 0.01804 | 0.15948 | 0.11547 | 0.57773 |
COF | 10 | 0.11644 | 0.07017 | 0.07371 | 0.02520 | 0.12467 | 0.07883 | 0.61392 |
COF | 12 | 0.11644 | 0.07017 | 0.07372 | 0.02522 | 0.13017 | 0.08462 | 0.61940 |
COF | 26 | 0.08904 | 0.04134 | 0.07036 | 0.02168 | 0.13902 | 0.09393 | 0.62171 |