SpamBase (5% 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, 2661 objects, 133 outliers (5.00%)
Download raw algorithm results (23.8 MB) Download raw algorithm evaluation table (71.1 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 | 0.17293 | 0.12942 | 0.16313 | 0.11910 | 0.27168 | 0.23336 | 0.77242 |
KNNW | 1 | 0.21805 | 0.17691 | 0.14706 | 0.10219 | 0.24371 | 0.20392 | 0.69686 |
KNNW | 3 | 0.18797 | 0.14525 | 0.15906 | 0.11482 | 0.25312 | 0.21383 | 0.76382 |
KNNW | 4 | 0.17293 | 0.12942 | 0.15939 | 0.11517 | 0.24955 | 0.21007 | 0.76473 |
LOF | 7 | 0.12030 | 0.07402 | 0.09410 | 0.04644 | 0.17764 | 0.13438 | 0.69551 |
LOF | 24 | 0.06015 | 0.01070 | 0.09671 | 0.04919 | 0.20475 | 0.16291 | 0.72871 |
LOF | 78 | 0.12030 | 0.07402 | 0.11605 | 0.06954 | 0.22010 | 0.17906 | 0.72727 |
LOF | 80 | 0.12030 | 0.07402 | 0.11536 | 0.06882 | 0.22062 | 0.17962 | 0.72632 |
SimplifiedLOF | 34 | 0.03008 | -0.02095 | 0.08694 | 0.03890 | 0.19025 | 0.14765 | 0.70838 |
SimplifiedLOF | 47 | 0.03008 | -0.02095 | 0.08834 | 0.04037 | 0.19200 | 0.14949 | 0.70331 |
SimplifiedLOF | 93 | 0.10526 | 0.05819 | 0.09192 | 0.04415 | 0.17021 | 0.12656 | 0.69028 |
SimplifiedLOF | 100 | 0.10526 | 0.05819 | 0.09462 | 0.04699 | 0.17391 | 0.13045 | 0.69285 |
LoOP | 83 | 0.12030 | 0.07402 | 0.11848 | 0.07210 | 0.20451 | 0.16266 | 0.72985 |
LoOP | 87 | 0.12030 | 0.07402 | 0.11931 | 0.07298 | 0.20521 | 0.16340 | 0.73016 |
LoOP | 90 | 0.12030 | 0.07402 | 0.11897 | 0.07262 | 0.20513 | 0.16331 | 0.73106 |
LoOP | 97 | 0.11278 | 0.06610 | 0.11903 | 0.07268 | 0.21236 | 0.17092 | 0.73052 |
LDOF | 98 | 0.12030 | 0.07402 | 0.11193 | 0.06520 | 0.19312 | 0.15067 | 0.71506 |
LDOF | 99 | 0.12030 | 0.07402 | 0.11199 | 0.06527 | 0.19174 | 0.14922 | 0.71506 |
LDOF | 100 | 0.12030 | 0.07402 | 0.11185 | 0.06512 | 0.19198 | 0.14947 | 0.71520 |
ODIN | 98 | 0.15315 | 0.10859 | 0.11442 | 0.06783 | 0.19476 | 0.15239 | 0.70594 |
ODIN | 100 | 0.14962 | 0.10489 | 0.11487 | 0.06830 | 0.19697 | 0.15472 | 0.70698 |
FastABOD | 5 | 0.12782 | 0.08193 | 0.11689 | 0.07043 | 0.21818 | 0.17705 | 0.71982 |
FastABOD | 8 | 0.14286 | 0.09776 | 0.11794 | 0.07154 | 0.20890 | 0.16728 | 0.72100 |
FastABOD | 11 | 0.15789 | 0.11359 | 0.11972 | 0.07341 | 0.20885 | 0.16723 | 0.71870 |
FastABOD | 70 | 0.15038 | 0.10568 | 0.13733 | 0.09194 | 0.21314 | 0.17175 | 0.71649 |
KDEOS | 3 | 0.09023 | 0.04236 | 0.05745 | 0.00787 | 0.10553 | 0.05847 | 0.53344 |
KDEOS | 15 | 0.05263 | 0.00279 | 0.07774 | 0.02922 | 0.13092 | 0.08520 | 0.60445 |
KDEOS | 25 | 0.06767 | 0.01862 | 0.06653 | 0.01742 | 0.12045 | 0.07417 | 0.61035 |
LDF | 5 | 0.10526 | 0.05819 | 0.10223 | 0.05499 | 0.19847 | 0.15630 | 0.71548 |
LDF | 6 | 0.09023 | 0.04236 | 0.09903 | 0.05163 | 0.19972 | 0.15762 | 0.72312 |
LDF | 7 | 0.08271 | 0.03445 | 0.09915 | 0.05175 | 0.19685 | 0.15460 | 0.72629 |
LDF | 54 | 0.15038 | 0.10568 | 0.08274 | 0.03449 | 0.15942 | 0.11520 | 0.60767 |
INFLO | 8 | 0.11278 | 0.06610 | 0.08935 | 0.04143 | 0.17266 | 0.12913 | 0.68262 |
INFLO | 55 | 0.10526 | 0.05819 | 0.12258 | 0.07642 | 0.21451 | 0.17319 | 0.73998 |
INFLO | 78 | 0.11278 | 0.06610 | 0.12178 | 0.07558 | 0.21678 | 0.17558 | 0.74213 |
INFLO | 86 | 0.10526 | 0.05819 | 0.12119 | 0.07495 | 0.22472 | 0.18393 | 0.73988 |
COF | 29 | 0.09774 | 0.05028 | 0.10517 | 0.05809 | 0.22405 | 0.18323 | 0.72818 |
COF | 30 | 0.09774 | 0.05028 | 0.10548 | 0.05842 | 0.22061 | 0.17961 | 0.72921 |
COF | 97 | 0.13534 | 0.08985 | 0.11372 | 0.06709 | 0.17953 | 0.13637 | 0.66757 |
COF | 98 | 0.14286 | 0.09776 | 0.11312 | 0.06646 | 0.18048 | 0.13736 | 0.66582 |
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 (72.9 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 | 0.15068 | 0.10621 | 0.13141 | 0.08593 | 0.22581 | 0.18526 | 0.77257 |
KNN | 5 | 0.16438 | 0.12062 | 0.13933 | 0.09426 | 0.23093 | 0.19065 | 0.77176 |
KNN | 7 | 0.17808 | 0.13504 | 0.13838 | 0.09325 | 0.23664 | 0.19667 | 0.76727 |
KNNW | 8 | 0.13699 | 0.09179 | 0.13395 | 0.08860 | 0.24351 | 0.20390 | 0.76958 |
KNNW | 10 | 0.14384 | 0.09900 | 0.13637 | 0.09114 | 0.24074 | 0.20098 | 0.76875 |
KNNW | 18 | 0.17123 | 0.12783 | 0.13168 | 0.08621 | 0.22727 | 0.18681 | 0.75759 |
LOF | 8 | 0.09589 | 0.04854 | 0.07973 | 0.03153 | 0.14776 | 0.10313 | 0.66415 |
LOF | 12 | 0.09589 | 0.04854 | 0.08806 | 0.04030 | 0.17266 | 0.12934 | 0.69654 |
LOF | 23 | 0.03425 | -0.01633 | 0.08308 | 0.03506 | 0.16362 | 0.11983 | 0.71525 |
LOF | 33 | 0.02740 | -0.02354 | 0.08088 | 0.03275 | 0.17587 | 0.13272 | 0.70983 |
SimplifiedLOF | 14 | 0.09589 | 0.04854 | 0.07535 | 0.02693 | 0.14961 | 0.10508 | 0.65056 |
SimplifiedLOF | 39 | 0.02740 | -0.02354 | 0.07529 | 0.02687 | 0.15863 | 0.11457 | 0.69222 |
LoOP | 10 | 0.07534 | 0.02692 | 0.08187 | 0.03379 | 0.16547 | 0.12177 | 0.63768 |
LoOP | 17 | 0.10959 | 0.06296 | 0.08643 | 0.03859 | 0.15178 | 0.10736 | 0.67133 |
LoOP | 21 | 0.10959 | 0.06296 | 0.08753 | 0.03975 | 0.15691 | 0.11276 | 0.68350 |
LoOP | 42 | 0.10274 | 0.05575 | 0.08413 | 0.03617 | 0.15805 | 0.11396 | 0.70378 |
LDOF | 17 | 0.10959 | 0.06296 | 0.07905 | 0.03082 | 0.14706 | 0.10239 | 0.63221 |
LDOF | 78 | 0.06164 | 0.01250 | 0.08843 | 0.04069 | 0.16073 | 0.11678 | 0.69615 |
LDOF | 80 | 0.06164 | 0.01250 | 0.08524 | 0.03734 | 0.16113 | 0.11720 | 0.69675 |
LDOF | 83 | 0.06849 | 0.01971 | 0.08464 | 0.03670 | 0.16355 | 0.11974 | 0.69563 |
ODIN | 70 | 0.10274 | 0.05575 | 0.09548 | 0.04811 | 0.18144 | 0.13858 | 0.70474 |
ODIN | 96 | 0.09198 | 0.04443 | 0.10201 | 0.05499 | 0.20604 | 0.16447 | 0.71498 |
ODIN | 99 | 0.09295 | 0.04546 | 0.10263 | 0.05564 | 0.20274 | 0.16099 | 0.71621 |
FastABOD | 20 | 0.06849 | 0.01971 | 0.08669 | 0.03886 | 0.17241 | 0.12908 | 0.68441 |
FastABOD | 35 | 0.06164 | 0.01250 | 0.08705 | 0.03924 | 0.17654 | 0.13342 | 0.68475 |
FastABOD | 75 | 0.05479 | 0.00530 | 0.09156 | 0.04398 | 0.17910 | 0.13612 | 0.68428 |
FastABOD | 98 | 0.06164 | 0.01250 | 0.09183 | 0.04427 | 0.17865 | 0.13564 | 0.68322 |
KDEOS | 16 | 0.09589 | 0.04854 | 0.06315 | 0.01409 | 0.11417 | 0.06778 | 0.57336 |
KDEOS | 28 | 0.07534 | 0.02692 | 0.06788 | 0.01906 | 0.12957 | 0.08399 | 0.61996 |
KDEOS | 55 | 0.05479 | 0.00530 | 0.06550 | 0.01657 | 0.13216 | 0.08671 | 0.63152 |
LDF | 5 | 0.08219 | 0.03413 | 0.09279 | 0.04529 | 0.16717 | 0.12356 | 0.67908 |
LDF | 6 | 0.06849 | 0.01971 | 0.09110 | 0.04351 | 0.17391 | 0.13065 | 0.70115 |
LDF | 7 | 0.08219 | 0.03413 | 0.08739 | 0.03960 | 0.16985 | 0.12637 | 0.71365 |
LDF | 16 | 0.10274 | 0.05575 | 0.07498 | 0.02653 | 0.13577 | 0.09051 | 0.63836 |
INFLO | 9 | 0.08219 | 0.03413 | 0.07913 | 0.03091 | 0.17178 | 0.12841 | 0.64223 |
INFLO | 12 | 0.09589 | 0.04854 | 0.08221 | 0.03415 | 0.16032 | 0.11635 | 0.65338 |
INFLO | 14 | 0.09589 | 0.04854 | 0.08251 | 0.03447 | 0.15686 | 0.11271 | 0.66907 |
INFLO | 39 | 0.02740 | -0.02354 | 0.07678 | 0.02844 | 0.16497 | 0.12124 | 0.69708 |
COF | 18 | 0.10274 | 0.05575 | 0.07800 | 0.02972 | 0.15000 | 0.10549 | 0.65635 |
COF | 30 | 0.08904 | 0.04134 | 0.08600 | 0.03813 | 0.17945 | 0.13648 | 0.69730 |
COF | 37 | 0.05479 | 0.00530 | 0.08553 | 0.03764 | 0.18379 | 0.14105 | 0.70408 |
COF | 49 | 0.05479 | 0.00530 | 0.08091 | 0.03278 | 0.18527 | 0.14261 | 0.68104 |
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 (68.8 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 | 1 | 0.21805 | 0.17691 | 0.18768 | 0.14495 | 0.24272 | 0.20288 | 0.75748 |
KNN | 3 | 0.24060 | 0.20065 | 0.18123 | 0.13815 | 0.24855 | 0.20902 | 0.74974 |
KNN | 12 | 0.19549 | 0.15316 | 0.14845 | 0.10365 | 0.25231 | 0.21297 | 0.73923 |
KNNW | 2 | 0.23308 | 0.19273 | 0.17886 | 0.13566 | 0.23396 | 0.19366 | 0.75391 |
KNNW | 3 | 0.22556 | 0.18482 | 0.18314 | 0.14016 | 0.23636 | 0.19619 | 0.75703 |
KNNW | 4 | 0.21053 | 0.16899 | 0.18326 | 0.14029 | 0.24316 | 0.20334 | 0.75639 |
KNNW | 11 | 0.21805 | 0.17691 | 0.17093 | 0.12731 | 0.25058 | 0.21115 | 0.74867 |
LOF | 7 | 0.14286 | 0.09776 | 0.08777 | 0.03978 | 0.15190 | 0.10728 | 0.60922 |
LOF | 74 | 0.09774 | 0.05028 | 0.09916 | 0.05177 | 0.14857 | 0.10378 | 0.64360 |
LOF | 97 | 0.08271 | 0.03445 | 0.09653 | 0.04900 | 0.15292 | 0.10836 | 0.65542 |
LOF | 100 | 0.08271 | 0.03445 | 0.09647 | 0.04893 | 0.15182 | 0.10720 | 0.65793 |
SimplifiedLOF | 9 | 0.14286 | 0.09776 | 0.08879 | 0.04085 | 0.15232 | 0.10772 | 0.61078 |
SimplifiedLOF | 81 | 0.12782 | 0.08193 | 0.10164 | 0.05438 | 0.14552 | 0.10056 | 0.63387 |
SimplifiedLOF | 93 | 0.12782 | 0.08193 | 0.10044 | 0.05312 | 0.15385 | 0.10933 | 0.64104 |
SimplifiedLOF | 98 | 0.12782 | 0.08193 | 0.10021 | 0.05287 | 0.15194 | 0.10733 | 0.64315 |
LoOP | 8 | 0.11278 | 0.06610 | 0.07221 | 0.02339 | 0.12457 | 0.07851 | 0.60031 |
LoOP | 19 | 0.10526 | 0.05819 | 0.08073 | 0.03237 | 0.13391 | 0.08834 | 0.62085 |
LoOP | 21 | 0.10526 | 0.05819 | 0.08212 | 0.03383 | 0.14137 | 0.09620 | 0.62012 |
LoOP | 99 | 0.10526 | 0.05819 | 0.08576 | 0.03766 | 0.13409 | 0.08854 | 0.61466 |
LDOF | 22 | 0.10526 | 0.05819 | 0.07195 | 0.02313 | 0.11776 | 0.07135 | 0.55605 |
LDOF | 49 | 0.09774 | 0.05028 | 0.07370 | 0.02496 | 0.12461 | 0.07856 | 0.55048 |
LDOF | 98 | 0.09023 | 0.04236 | 0.07417 | 0.02546 | 0.11299 | 0.06632 | 0.56534 |
LDOF | 100 | 0.09023 | 0.04236 | 0.07419 | 0.02549 | 0.11200 | 0.06528 | 0.56439 |
ODIN | 12 | 0.07143 | 0.02258 | 0.06528 | 0.01611 | 0.12543 | 0.07942 | 0.60331 |
ODIN | 13 | 0.07472 | 0.02604 | 0.06612 | 0.01699 | 0.12071 | 0.07445 | 0.60419 |
ODIN | 43 | 0.10261 | 0.05540 | 0.06616 | 0.01702 | 0.11182 | 0.06510 | 0.57575 |
ODIN | 47 | 0.09452 | 0.04688 | 0.06617 | 0.01704 | 0.11192 | 0.06520 | 0.57645 |
FastABOD | 3 | 0.18045 | 0.13733 | 0.15470 | 0.11023 | 0.21515 | 0.17386 | 0.75930 |
FastABOD | 7 | 0.18797 | 0.14525 | 0.14851 | 0.10371 | 0.21608 | 0.17484 | 0.75366 |
FastABOD | 63 | 0.18797 | 0.14525 | 0.14787 | 0.10304 | 0.22340 | 0.18255 | 0.74688 |
KDEOS | 51 | 0.05263 | 0.00279 | 0.06768 | 0.01864 | 0.13889 | 0.09359 | 0.62230 |
KDEOS | 73 | 0.09023 | 0.04236 | 0.07203 | 0.02320 | 0.13402 | 0.08846 | 0.62591 |
KDEOS | 94 | 0.08271 | 0.03445 | 0.07253 | 0.02373 | 0.13253 | 0.08689 | 0.63012 |
KDEOS | 99 | 0.08271 | 0.03445 | 0.07246 | 0.02367 | 0.13299 | 0.08738 | 0.63099 |
LDF | 66 | 0.17293 | 0.12942 | 0.12965 | 0.08386 | 0.20051 | 0.15845 | 0.68426 |
LDF | 70 | 0.18797 | 0.14525 | 0.12707 | 0.08115 | 0.20561 | 0.16381 | 0.69211 |
LDF | 95 | 0.18797 | 0.14525 | 0.12510 | 0.07907 | 0.22081 | 0.17981 | 0.70796 |
LDF | 96 | 0.18797 | 0.14525 | 0.12521 | 0.07919 | 0.21721 | 0.17603 | 0.70821 |
INFLO | 8 | 0.11278 | 0.06610 | 0.08200 | 0.03370 | 0.13403 | 0.08848 | 0.59384 |
INFLO | 87 | 0.10526 | 0.05819 | 0.09817 | 0.05073 | 0.17467 | 0.13124 | 0.65194 |
COF | 22 | 0.17293 | 0.12942 | 0.12066 | 0.07440 | 0.18623 | 0.14342 | 0.65718 |
COF | 75 | 0.13534 | 0.08985 | 0.12257 | 0.07641 | 0.16507 | 0.12114 | 0.66577 |
COF | 79 | 0.12782 | 0.08193 | 0.12281 | 0.07666 | 0.16580 | 0.12192 | 0.66049 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 2934 objects, 146 outliers (4.98%)
Download raw algorithm results (23.9 MB) Download raw algorithm evaluation table (70.1 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 | 0.30822 | 0.27199 | 0.25458 | 0.21554 | 0.31694 | 0.28117 | 0.78687 |
KNN | 3 | 0.28767 | 0.25037 | 0.24779 | 0.20839 | 0.33609 | 0.30132 | 0.78425 |
KNN | 8 | 0.28082 | 0.24316 | 0.26166 | 0.22299 | 0.32386 | 0.28846 | 0.78512 |
KNNW | 7 | 0.30822 | 0.27199 | 0.25009 | 0.21082 | 0.33333 | 0.29842 | 0.78364 |
KNNW | 9 | 0.29452 | 0.25758 | 0.25486 | 0.21583 | 0.32967 | 0.29457 | 0.78413 |
KNNW | 11 | 0.28767 | 0.25037 | 0.25909 | 0.22029 | 0.33429 | 0.29943 | 0.78377 |
KNNW | 12 | 0.28767 | 0.25037 | 0.25967 | 0.22090 | 0.33238 | 0.29742 | 0.78391 |
LOF | 92 | 0.10274 | 0.05575 | 0.09550 | 0.04814 | 0.17035 | 0.12690 | 0.65949 |
LOF | 98 | 0.11644 | 0.07017 | 0.09854 | 0.05133 | 0.16691 | 0.12328 | 0.66495 |
LOF | 100 | 0.11644 | 0.07017 | 0.10194 | 0.05491 | 0.16692 | 0.12329 | 0.66861 |
SimplifiedLOF | 87 | 0.08904 | 0.04134 | 0.08140 | 0.03330 | 0.17085 | 0.12743 | 0.65004 |
SimplifiedLOF | 99 | 0.13014 | 0.08458 | 0.08688 | 0.03906 | 0.16716 | 0.12355 | 0.65338 |
SimplifiedLOF | 100 | 0.15068 | 0.10621 | 0.08795 | 0.04019 | 0.16970 | 0.12622 | 0.65335 |
LoOP | 1 | 0.10959 | 0.06296 | 0.06508 | 0.01612 | 0.11111 | 0.06456 | 0.51026 |
LoOP | 30 | 0.04795 | -0.00191 | 0.06934 | 0.02061 | 0.13786 | 0.09271 | 0.63050 |
LoOP | 100 | 0.09589 | 0.04854 | 0.07762 | 0.02932 | 0.14815 | 0.10354 | 0.62782 |
LDOF | 81 | 0.08219 | 0.03413 | 0.06218 | 0.01307 | 0.12121 | 0.07519 | 0.58275 |
LDOF | 86 | 0.08219 | 0.03413 | 0.06299 | 0.01392 | 0.12520 | 0.07938 | 0.58475 |
LDOF | 99 | 0.08219 | 0.03413 | 0.06521 | 0.01626 | 0.12324 | 0.07733 | 0.59132 |
LDOF | 100 | 0.08219 | 0.03413 | 0.06551 | 0.01657 | 0.12411 | 0.07825 | 0.59043 |
ODIN | 1 | 0.05627 | 0.00685 | 0.05706 | 0.00768 | 0.10857 | 0.06189 | 0.56783 |
ODIN | 15 | 0.01033 | -0.04149 | 0.06052 | 0.01132 | 0.13404 | 0.08869 | 0.61250 |
ODIN | 18 | 0.01358 | -0.03807 | 0.06139 | 0.01224 | 0.13248 | 0.08705 | 0.61694 |
FastABOD | 16 | 0.27397 | 0.23595 | 0.18355 | 0.14080 | 0.28061 | 0.24294 | 0.77195 |
FastABOD | 73 | 0.27397 | 0.23595 | 0.21093 | 0.16961 | 0.29412 | 0.25715 | 0.77375 |
FastABOD | 97 | 0.27397 | 0.23595 | 0.21172 | 0.17044 | 0.29412 | 0.25715 | 0.77432 |
FastABOD | 100 | 0.27397 | 0.23595 | 0.21171 | 0.17043 | 0.29412 | 0.25715 | 0.77435 |
KDEOS | 98 | 0.06849 | 0.01971 | 0.06924 | 0.02049 | 0.14454 | 0.09974 | 0.63323 |
KDEOS | 99 | 0.06849 | 0.01971 | 0.06923 | 0.02049 | 0.14370 | 0.09886 | 0.63356 |
KDEOS | 100 | 0.07534 | 0.02692 | 0.06941 | 0.02068 | 0.14407 | 0.09924 | 0.63311 |
LDF | 98 | 0.25342 | 0.21433 | 0.18775 | 0.14521 | 0.28346 | 0.24594 | 0.73715 |
LDF | 100 | 0.26027 | 0.22154 | 0.18361 | 0.14086 | 0.28452 | 0.24705 | 0.73945 |
INFLO | 85 | 0.08904 | 0.04134 | 0.08584 | 0.03797 | 0.16971 | 0.12623 | 0.65378 |
INFLO | 98 | 0.10959 | 0.06296 | 0.08981 | 0.04215 | 0.16750 | 0.12391 | 0.64434 |
INFLO | 100 | 0.10959 | 0.06296 | 0.09176 | 0.04419 | 0.16930 | 0.12580 | 0.64974 |
COF | 94 | 0.17123 | 0.12783 | 0.09564 | 0.04828 | 0.17182 | 0.12845 | 0.68313 |
COF | 100 | 0.17123 | 0.12783 | 0.10891 | 0.06224 | 0.19231 | 0.15001 | 0.68881 |