SpamBase (5% of outliers version#05)
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 (71.3 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 | 2 | 0.17293 | 0.12942 | 0.14443 | 0.09942 | 0.21849 | 0.17737 | 0.76857 |
KNN | 4 | 0.19549 | 0.15316 | 0.14809 | 0.10327 | 0.22321 | 0.18235 | 0.75943 |
KNN | 5 | 0.20301 | 0.16108 | 0.14693 | 0.10205 | 0.22535 | 0.18460 | 0.75667 |
KNNW | 5 | 0.18045 | 0.13733 | 0.14410 | 0.09907 | 0.21516 | 0.17387 | 0.76413 |
KNNW | 9 | 0.18797 | 0.14525 | 0.14487 | 0.09988 | 0.22601 | 0.18529 | 0.76036 |
KNNW | 10 | 0.19549 | 0.15316 | 0.14573 | 0.10079 | 0.22462 | 0.18383 | 0.75874 |
KNNW | 11 | 0.21053 | 0.16899 | 0.14545 | 0.10049 | 0.22015 | 0.17912 | 0.75713 |
LOF | 82 | 0.15038 | 0.10568 | 0.12140 | 0.07518 | 0.21365 | 0.17228 | 0.74893 |
LOF | 83 | 0.15789 | 0.11359 | 0.12109 | 0.07485 | 0.21485 | 0.17354 | 0.74883 |
LOF | 99 | 0.18045 | 0.13733 | 0.11893 | 0.07258 | 0.20637 | 0.16462 | 0.74276 |
SimplifiedLOF | 31 | 0.02256 | -0.02887 | 0.08407 | 0.03588 | 0.18268 | 0.13968 | 0.71478 |
SimplifiedLOF | 47 | 0.00752 | -0.04470 | 0.08329 | 0.03506 | 0.19133 | 0.14878 | 0.71233 |
SimplifiedLOF | 96 | 0.12030 | 0.07402 | 0.10218 | 0.05495 | 0.17849 | 0.13527 | 0.71371 |
SimplifiedLOF | 100 | 0.12030 | 0.07402 | 0.10383 | 0.05668 | 0.18396 | 0.14103 | 0.71467 |
LoOP | 83 | 0.13534 | 0.08985 | 0.11606 | 0.06955 | 0.21122 | 0.16972 | 0.74335 |
LoOP | 96 | 0.13534 | 0.08985 | 0.12036 | 0.07408 | 0.22368 | 0.18284 | 0.74807 |
LoOP | 99 | 0.13534 | 0.08985 | 0.12055 | 0.07428 | 0.22623 | 0.18552 | 0.74726 |
LoOP | 100 | 0.13534 | 0.08985 | 0.12091 | 0.07466 | 0.22512 | 0.18436 | 0.74750 |
LDOF | 96 | 0.12782 | 0.08193 | 0.10693 | 0.05994 | 0.19853 | 0.15636 | 0.73150 |
LDOF | 100 | 0.12030 | 0.07402 | 0.10864 | 0.06174 | 0.19888 | 0.15673 | 0.73207 |
ODIN | 98 | 0.10289 | 0.05569 | 0.10511 | 0.05803 | 0.19483 | 0.15247 | 0.72670 |
ODIN | 100 | 0.10301 | 0.05582 | 0.10527 | 0.05819 | 0.19316 | 0.15071 | 0.72699 |
FastABOD | 5 | 0.13534 | 0.08985 | 0.11027 | 0.06346 | 0.18705 | 0.14428 | 0.73077 |
FastABOD | 52 | 0.17293 | 0.12942 | 0.11964 | 0.07332 | 0.19802 | 0.15583 | 0.71850 |
FastABOD | 67 | 0.18045 | 0.13733 | 0.12085 | 0.07459 | 0.19444 | 0.15206 | 0.71890 |
FastABOD | 93 | 0.18045 | 0.13733 | 0.12126 | 0.07503 | 0.18739 | 0.14464 | 0.71957 |
KDEOS | 26 | 0.07519 | 0.02653 | 0.06628 | 0.01716 | 0.12149 | 0.07527 | 0.59045 |
KDEOS | 33 | 0.05263 | 0.00279 | 0.06134 | 0.01196 | 0.12775 | 0.08186 | 0.60070 |
KDEOS | 34 | 0.06767 | 0.01862 | 0.06240 | 0.01307 | 0.12522 | 0.07919 | 0.60199 |
KDEOS | 89 | 0.08271 | 0.03445 | 0.06187 | 0.01252 | 0.11569 | 0.06916 | 0.58362 |
LDF | 6 | 0.10526 | 0.05819 | 0.10075 | 0.05344 | 0.19284 | 0.15037 | 0.73885 |
LDF | 62 | 0.16541 | 0.12151 | 0.09471 | 0.04708 | 0.18123 | 0.13815 | 0.64393 |
INFLO | 81 | 0.12782 | 0.08193 | 0.12378 | 0.07768 | 0.23132 | 0.19088 | 0.75498 |
INFLO | 84 | 0.12782 | 0.08193 | 0.12320 | 0.07707 | 0.23224 | 0.19184 | 0.75611 |
INFLO | 88 | 0.12782 | 0.08193 | 0.12298 | 0.07684 | 0.23551 | 0.19529 | 0.75527 |
INFLO | 98 | 0.14286 | 0.09776 | 0.12225 | 0.07607 | 0.22300 | 0.18212 | 0.75410 |
COF | 32 | 0.05263 | 0.00279 | 0.10778 | 0.06084 | 0.22503 | 0.18426 | 0.75507 |
COF | 36 | 0.05263 | 0.00279 | 0.10780 | 0.06086 | 0.23592 | 0.19572 | 0.75306 |
COF | 79 | 0.15038 | 0.10568 | 0.10353 | 0.05637 | 0.18900 | 0.14634 | 0.69113 |
COF | 89 | 0.15038 | 0.10568 | 0.11670 | 0.07023 | 0.20000 | 0.15791 | 0.69384 |
Plots
Normalized, duplicates
This version contains 57 attributes, 2934 objects, 146 outliers (4.98%)
Download raw algorithm results (24.3 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 | 1 | 0.17808 | 0.13504 | 0.15062 | 0.10614 | 0.24302 | 0.20338 | 0.72859 |
KNN | 3 | 0.16438 | 0.12062 | 0.14327 | 0.09841 | 0.23690 | 0.19694 | 0.75291 |
KNN | 8 | 0.17808 | 0.13504 | 0.14584 | 0.10111 | 0.25974 | 0.22097 | 0.74165 |
KNN | 12 | 0.19863 | 0.15666 | 0.14103 | 0.09604 | 0.23129 | 0.19104 | 0.72822 |
KNNW | 1 | 0.19178 | 0.14946 | 0.13628 | 0.09105 | 0.22426 | 0.18364 | 0.68816 |
KNNW | 9 | 0.16438 | 0.12062 | 0.14796 | 0.10334 | 0.24379 | 0.20419 | 0.75007 |
KNNW | 14 | 0.17123 | 0.12783 | 0.14995 | 0.10543 | 0.24949 | 0.21019 | 0.74499 |
KNNW | 17 | 0.17123 | 0.12783 | 0.14755 | 0.10291 | 0.25628 | 0.21733 | 0.73951 |
LOF | 15 | 0.08904 | 0.04134 | 0.09882 | 0.05163 | 0.20094 | 0.15910 | 0.72676 |
LOF | 28 | 0.02740 | -0.02354 | 0.08881 | 0.04109 | 0.20558 | 0.16398 | 0.70726 |
LOF | 84 | 0.10274 | 0.05575 | 0.08483 | 0.03690 | 0.14895 | 0.10439 | 0.65320 |
SimplifiedLOF | 27 | 0.02740 | -0.02354 | 0.08286 | 0.03483 | 0.17241 | 0.12908 | 0.69872 |
SimplifiedLOF | 28 | 0.02740 | -0.02354 | 0.08289 | 0.03486 | 0.17670 | 0.13358 | 0.69802 |
SimplifiedLOF | 34 | 0.04110 | -0.00912 | 0.08281 | 0.03477 | 0.18073 | 0.13783 | 0.69730 |
SimplifiedLOF | 98 | 0.09589 | 0.04854 | 0.08117 | 0.03305 | 0.14516 | 0.10040 | 0.64305 |
LoOP | 17 | 0.09589 | 0.04854 | 0.09532 | 0.04794 | 0.19745 | 0.15542 | 0.70154 |
LoOP | 26 | 0.10959 | 0.06296 | 0.09926 | 0.05209 | 0.18719 | 0.14463 | 0.71643 |
LoOP | 27 | 0.10959 | 0.06296 | 0.09919 | 0.05202 | 0.18310 | 0.14032 | 0.71823 |
LoOP | 36 | 0.11644 | 0.07017 | 0.09525 | 0.04787 | 0.17931 | 0.13633 | 0.71496 |
LDOF | 17 | 0.09589 | 0.04854 | 0.08709 | 0.03928 | 0.18405 | 0.14132 | 0.67717 |
LDOF | 49 | 0.08219 | 0.03413 | 0.09166 | 0.04409 | 0.17761 | 0.13454 | 0.71159 |
LDOF | 51 | 0.08219 | 0.03413 | 0.09140 | 0.04382 | 0.17530 | 0.13211 | 0.71190 |
LDOF | 96 | 0.10959 | 0.06296 | 0.08905 | 0.04135 | 0.16901 | 0.12550 | 0.69868 |
ODIN | 83 | 0.13209 | 0.08664 | 0.11926 | 0.07314 | 0.18655 | 0.14395 | 0.69839 |
ODIN | 99 | 0.12534 | 0.07954 | 0.12225 | 0.07628 | 0.20253 | 0.16077 | 0.70091 |
ODIN | 100 | 0.12671 | 0.08098 | 0.12220 | 0.07624 | 0.20285 | 0.16111 | 0.70076 |
FastABOD | 58 | 0.10274 | 0.05575 | 0.09502 | 0.04763 | 0.19104 | 0.14868 | 0.67983 |
FastABOD | 69 | 0.10959 | 0.06296 | 0.09510 | 0.04771 | 0.18768 | 0.14514 | 0.67948 |
FastABOD | 70 | 0.10959 | 0.06296 | 0.09837 | 0.05116 | 0.18900 | 0.14653 | 0.68125 |
FastABOD | 100 | 0.10959 | 0.06296 | 0.10229 | 0.05527 | 0.19007 | 0.14766 | 0.68082 |
KDEOS | 5 | 0.08904 | 0.04134 | 0.07372 | 0.02521 | 0.13824 | 0.09311 | 0.60646 |
KDEOS | 7 | 0.08904 | 0.04134 | 0.07552 | 0.02711 | 0.13619 | 0.09095 | 0.61146 |
KDEOS | 8 | 0.06849 | 0.01971 | 0.07268 | 0.02412 | 0.13825 | 0.09312 | 0.60857 |
LDF | 6 | 0.11644 | 0.07017 | 0.09536 | 0.04798 | 0.18759 | 0.14505 | 0.69067 |
LDF | 8 | 0.10274 | 0.05575 | 0.09315 | 0.04566 | 0.17604 | 0.13290 | 0.72201 |
LDF | 9 | 0.12329 | 0.07738 | 0.09649 | 0.04918 | 0.16934 | 0.12584 | 0.71804 |
LDF | 14 | 0.13699 | 0.09179 | 0.08787 | 0.04011 | 0.15894 | 0.11490 | 0.67107 |
INFLO | 12 | 0.08904 | 0.04134 | 0.09741 | 0.05015 | 0.20305 | 0.16131 | 0.71946 |
INFLO | 14 | 0.09589 | 0.04854 | 0.09603 | 0.04869 | 0.21071 | 0.16938 | 0.71439 |
INFLO | 19 | 0.08219 | 0.03413 | 0.09668 | 0.04938 | 0.19017 | 0.14777 | 0.72751 |
INFLO | 97 | 0.10959 | 0.06296 | 0.09014 | 0.04249 | 0.14876 | 0.10418 | 0.65228 |
COF | 24 | 0.13014 | 0.08458 | 0.09470 | 0.04730 | 0.18051 | 0.13759 | 0.69531 |
COF | 28 | 0.13014 | 0.08458 | 0.09634 | 0.04902 | 0.18353 | 0.14077 | 0.70927 |
COF | 31 | 0.10959 | 0.06296 | 0.09518 | 0.04780 | 0.18050 | 0.13758 | 0.71304 |
COF | 37 | 0.09589 | 0.04854 | 0.09324 | 0.04575 | 0.19734 | 0.15531 | 0.70620 |
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 (67.6 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 | 0.24812 | 0.20856 | 0.21730 | 0.17612 | 0.26768 | 0.22915 | 0.75030 |
KNN | 7 | 0.23308 | 0.19273 | 0.21071 | 0.16919 | 0.27363 | 0.23542 | 0.74548 |
KNNW | 2 | 0.25564 | 0.21648 | 0.21828 | 0.17716 | 0.26846 | 0.22997 | 0.74966 |
KNNW | 3 | 0.24812 | 0.20856 | 0.21873 | 0.17763 | 0.26702 | 0.22845 | 0.75127 |
KNNW | 6 | 0.23308 | 0.19273 | 0.21955 | 0.17849 | 0.26415 | 0.22544 | 0.74891 |
KNNW | 18 | 0.22556 | 0.18482 | 0.19016 | 0.14755 | 0.27128 | 0.23294 | 0.74508 |
LOF | 13 | 0.13534 | 0.08985 | 0.07682 | 0.02825 | 0.14545 | 0.10050 | 0.58768 |
LOF | 99 | 0.11278 | 0.06610 | 0.09162 | 0.04382 | 0.17803 | 0.13479 | 0.64147 |
LOF | 100 | 0.11278 | 0.06610 | 0.09242 | 0.04467 | 0.17706 | 0.13377 | 0.64242 |
SimplifiedLOF | 15 | 0.15038 | 0.10568 | 0.08037 | 0.03199 | 0.15603 | 0.11163 | 0.60536 |
SimplifiedLOF | 98 | 0.15038 | 0.10568 | 0.10040 | 0.05307 | 0.17195 | 0.12838 | 0.62480 |
SimplifiedLOF | 100 | 0.15038 | 0.10568 | 0.10113 | 0.05384 | 0.17195 | 0.12838 | 0.62621 |
LoOP | 1 | 0.12030 | 0.07402 | 0.08598 | 0.03790 | 0.13900 | 0.09370 | 0.55898 |
LoOP | 86 | 0.09774 | 0.05028 | 0.07967 | 0.03125 | 0.13721 | 0.09182 | 0.59606 |
LoOP | 93 | 0.10526 | 0.05819 | 0.08006 | 0.03166 | 0.14224 | 0.09711 | 0.59263 |
LDOF | 2 | 0.13534 | 0.08985 | 0.09480 | 0.04718 | 0.15725 | 0.11291 | 0.53311 |
LDOF | 86 | 0.10526 | 0.05819 | 0.06688 | 0.01779 | 0.11502 | 0.06846 | 0.56413 |
ODIN | 1 | 0.06464 | 0.01543 | 0.05834 | 0.00880 | 0.11438 | 0.06779 | 0.55862 |
ODIN | 4 | 0.06349 | 0.01422 | 0.05853 | 0.00900 | 0.11111 | 0.06435 | 0.56841 |
ODIN | 27 | 0.03427 | -0.01654 | 0.05774 | 0.00817 | 0.11589 | 0.06938 | 0.57878 |
ODIN | 95 | 0.03759 | -0.01304 | 0.05789 | 0.00832 | 0.12032 | 0.07403 | 0.57143 |
FastABOD | 3 | 0.21053 | 0.16899 | 0.19639 | 0.15411 | 0.25404 | 0.21480 | 0.77265 |
FastABOD | 7 | 0.21805 | 0.17691 | 0.19523 | 0.15290 | 0.26150 | 0.22265 | 0.77042 |
FastABOD | 21 | 0.23308 | 0.19273 | 0.19782 | 0.15562 | 0.25420 | 0.21496 | 0.76837 |
FastABOD | 86 | 0.22556 | 0.18482 | 0.20192 | 0.15994 | 0.25542 | 0.21625 | 0.76695 |
KDEOS | 10 | 0.07519 | 0.02653 | 0.07841 | 0.02993 | 0.10955 | 0.06271 | 0.55926 |
KDEOS | 70 | 0.10526 | 0.05819 | 0.07144 | 0.02259 | 0.13457 | 0.08904 | 0.61980 |
KDEOS | 75 | 0.10526 | 0.05819 | 0.07131 | 0.02245 | 0.13196 | 0.08630 | 0.62039 |
KDEOS | 85 | 0.08271 | 0.03445 | 0.06973 | 0.02079 | 0.13725 | 0.09187 | 0.61771 |
LDF | 68 | 0.25564 | 0.21648 | 0.15520 | 0.11075 | 0.25856 | 0.21955 | 0.67982 |
LDF | 69 | 0.24060 | 0.20065 | 0.15802 | 0.11373 | 0.25185 | 0.21249 | 0.67976 |
LDF | 98 | 0.22556 | 0.18482 | 0.14407 | 0.09904 | 0.25407 | 0.21483 | 0.69188 |
LDF | 100 | 0.22556 | 0.18482 | 0.14258 | 0.09747 | 0.26198 | 0.22315 | 0.69064 |
INFLO | 18 | 0.12030 | 0.07402 | 0.07453 | 0.02584 | 0.13928 | 0.09400 | 0.58542 |
INFLO | 93 | 0.08271 | 0.03445 | 0.08544 | 0.03733 | 0.16587 | 0.12198 | 0.62426 |
INFLO | 100 | 0.09774 | 0.05028 | 0.08593 | 0.03785 | 0.16077 | 0.11662 | 0.60724 |
COF | 94 | 0.18045 | 0.13733 | 0.16728 | 0.12347 | 0.21875 | 0.17765 | 0.65496 |
COF | 95 | 0.18045 | 0.13733 | 0.16655 | 0.12270 | 0.21875 | 0.17765 | 0.65627 |
COF | 97 | 0.19549 | 0.15316 | 0.16637 | 0.12251 | 0.21978 | 0.17873 | 0.65533 |
COF | 98 | 0.18797 | 0.14525 | 0.16454 | 0.12059 | 0.22099 | 0.18001 | 0.65436 |
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 (69.4 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 | 5 | 0.29452 | 0.25758 | 0.21217 | 0.17091 | 0.30370 | 0.26724 | 0.80125 |
KNN | 9 | 0.31507 | 0.27920 | 0.22297 | 0.18228 | 0.31615 | 0.28034 | 0.79873 |
KNNW | 6 | 0.28767 | 0.25037 | 0.22014 | 0.17930 | 0.31169 | 0.27564 | 0.79824 |
KNNW | 8 | 0.28767 | 0.25037 | 0.22013 | 0.17929 | 0.30996 | 0.27383 | 0.79960 |
KNNW | 13 | 0.30137 | 0.26478 | 0.22175 | 0.18099 | 0.30612 | 0.26979 | 0.79919 |
LOF | 90 | 0.12329 | 0.07738 | 0.09790 | 0.05066 | 0.17757 | 0.13450 | 0.67525 |
LOF | 100 | 0.12329 | 0.07738 | 0.10293 | 0.05596 | 0.19120 | 0.14884 | 0.68686 |
SimplifiedLOF | 99 | 0.12329 | 0.07738 | 0.08668 | 0.03885 | 0.16000 | 0.11601 | 0.66141 |
SimplifiedLOF | 100 | 0.12329 | 0.07738 | 0.08738 | 0.03959 | 0.16138 | 0.11747 | 0.66202 |
LoOP | 10 | 0.10959 | 0.06296 | 0.06477 | 0.01580 | 0.12621 | 0.08046 | 0.54876 |
LoOP | 95 | 0.10274 | 0.05575 | 0.08145 | 0.03335 | 0.14403 | 0.09920 | 0.63374 |
LoOP | 100 | 0.10274 | 0.05575 | 0.08277 | 0.03474 | 0.14426 | 0.09945 | 0.63344 |
LDOF | 5 | 0.10959 | 0.06296 | 0.07402 | 0.02553 | 0.12121 | 0.07519 | 0.49323 |
LDOF | 91 | 0.08219 | 0.03413 | 0.06673 | 0.01786 | 0.13721 | 0.09203 | 0.58587 |
LDOF | 97 | 0.08219 | 0.03413 | 0.06761 | 0.01878 | 0.13181 | 0.08634 | 0.58912 |
ODIN | 26 | 0.04422 | -0.00583 | 0.06336 | 0.01431 | 0.12372 | 0.07784 | 0.61288 |
ODIN | 77 | 0.05479 | 0.00530 | 0.06194 | 0.01281 | 0.12587 | 0.08010 | 0.58855 |
ODIN | 100 | 0.07036 | 0.02168 | 0.06444 | 0.01545 | 0.12480 | 0.07897 | 0.59476 |
FastABOD | 8 | 0.24658 | 0.20712 | 0.17247 | 0.12914 | 0.26303 | 0.22443 | 0.80318 |
FastABOD | 98 | 0.23288 | 0.19270 | 0.19069 | 0.14831 | 0.26598 | 0.22755 | 0.80520 |
FastABOD | 100 | 0.23288 | 0.19270 | 0.19077 | 0.14839 | 0.26598 | 0.22755 | 0.80523 |
KDEOS | 6 | 0.08219 | 0.03413 | 0.05798 | 0.00865 | 0.10944 | 0.06281 | 0.54527 |
KDEOS | 81 | 0.04110 | -0.00912 | 0.06819 | 0.01939 | 0.14685 | 0.10217 | 0.63560 |
KDEOS | 100 | 0.07534 | 0.02692 | 0.07082 | 0.02216 | 0.14375 | 0.09891 | 0.64481 |
LDF | 83 | 0.28082 | 0.24316 | 0.18881 | 0.14633 | 0.28475 | 0.24729 | 0.72372 |
LDF | 86 | 0.28767 | 0.25037 | 0.17579 | 0.13263 | 0.28834 | 0.25108 | 0.72712 |
LDF | 91 | 0.27397 | 0.23595 | 0.18126 | 0.13838 | 0.30164 | 0.26507 | 0.73912 |
LDF | 100 | 0.28082 | 0.24316 | 0.17864 | 0.13563 | 0.29434 | 0.25739 | 0.74866 |
INFLO | 79 | 0.10274 | 0.05575 | 0.08555 | 0.03766 | 0.17218 | 0.12883 | 0.66597 |
INFLO | 91 | 0.10959 | 0.06296 | 0.09350 | 0.04603 | 0.16679 | 0.12315 | 0.64983 |
INFLO | 95 | 0.10959 | 0.06296 | 0.09584 | 0.04849 | 0.17291 | 0.12960 | 0.66002 |
INFLO | 100 | 0.10959 | 0.06296 | 0.09675 | 0.04945 | 0.16801 | 0.12444 | 0.64093 |
COF | 90 | 0.06849 | 0.01971 | 0.09046 | 0.04283 | 0.17476 | 0.13154 | 0.68167 |
COF | 96 | 0.10959 | 0.06296 | 0.09812 | 0.05089 | 0.17159 | 0.12821 | 0.68794 |
COF | 100 | 0.15068 | 0.10621 | 0.10117 | 0.05411 | 0.17176 | 0.12838 | 0.68677 |