SpamBase (5% of outliers version#10)
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 | 1 | 0.18045 | 0.13733 | 0.14092 | 0.09572 | 0.23297 | 0.19261 | 0.74482 |
KNN | 2 | 0.16541 | 0.12151 | 0.14396 | 0.09893 | 0.21710 | 0.17591 | 0.75222 |
KNN | 3 | 0.15038 | 0.10568 | 0.14457 | 0.09956 | 0.22055 | 0.17954 | 0.74804 |
KNNW | 2 | 0.17293 | 0.12942 | 0.13126 | 0.08555 | 0.22222 | 0.18130 | 0.72775 |
KNNW | 5 | 0.15789 | 0.11359 | 0.14099 | 0.09579 | 0.22623 | 0.18552 | 0.74696 |
LOF | 14 | 0.09023 | 0.04236 | 0.10064 | 0.05332 | 0.19626 | 0.15398 | 0.73660 |
LOF | 48 | 0.14286 | 0.09776 | 0.11442 | 0.06783 | 0.19672 | 0.15446 | 0.70967 |
LOF | 70 | 0.13534 | 0.08985 | 0.12759 | 0.08169 | 0.22165 | 0.18070 | 0.72254 |
LOF | 80 | 0.14286 | 0.09776 | 0.12579 | 0.07979 | 0.22485 | 0.18407 | 0.72392 |
SimplifiedLOF | 29 | 0.03008 | -0.02095 | 0.08486 | 0.03671 | 0.17810 | 0.13486 | 0.70432 |
SimplifiedLOF | 43 | 0.02256 | -0.02887 | 0.08282 | 0.03456 | 0.18644 | 0.14364 | 0.69620 |
SimplifiedLOF | 98 | 0.14286 | 0.09776 | 0.10796 | 0.06103 | 0.17797 | 0.13472 | 0.68801 |
SimplifiedLOF | 100 | 0.13534 | 0.08985 | 0.10850 | 0.06160 | 0.17634 | 0.13301 | 0.68907 |
LoOP | 88 | 0.15038 | 0.10568 | 0.13065 | 0.08491 | 0.20772 | 0.16603 | 0.72404 |
LoOP | 92 | 0.15038 | 0.10568 | 0.13052 | 0.08478 | 0.21346 | 0.17208 | 0.72462 |
LoOP | 98 | 0.14286 | 0.09776 | 0.13137 | 0.08567 | 0.21957 | 0.17851 | 0.72423 |
LoOP | 99 | 0.14286 | 0.09776 | 0.13141 | 0.08571 | 0.21957 | 0.17851 | 0.72447 |
LDOF | 83 | 0.13534 | 0.08985 | 0.12032 | 0.07404 | 0.18014 | 0.13701 | 0.70739 |
LDOF | 99 | 0.13534 | 0.08985 | 0.12517 | 0.07914 | 0.18563 | 0.14278 | 0.71201 |
LDOF | 100 | 0.13534 | 0.08985 | 0.12531 | 0.07929 | 0.18758 | 0.14484 | 0.71201 |
ODIN | 84 | 0.12782 | 0.08193 | 0.10892 | 0.06204 | 0.20455 | 0.16270 | 0.70489 |
ODIN | 98 | 0.13494 | 0.08943 | 0.11119 | 0.06443 | 0.19907 | 0.15694 | 0.70900 |
ODIN | 100 | 0.12782 | 0.08193 | 0.11114 | 0.06438 | 0.20000 | 0.15791 | 0.70982 |
FastABOD | 5 | 0.13534 | 0.08985 | 0.10629 | 0.05927 | 0.19619 | 0.15390 | 0.71256 |
FastABOD | 9 | 0.12030 | 0.07402 | 0.10898 | 0.06211 | 0.19790 | 0.15570 | 0.70889 |
FastABOD | 20 | 0.15038 | 0.10568 | 0.11315 | 0.06649 | 0.18900 | 0.14633 | 0.70190 |
FastABOD | 49 | 0.12782 | 0.08193 | 0.12511 | 0.07908 | 0.18395 | 0.14101 | 0.70001 |
KDEOS | 13 | 0.09774 | 0.05028 | 0.06608 | 0.01695 | 0.12150 | 0.07528 | 0.56647 |
KDEOS | 25 | 0.09023 | 0.04236 | 0.06336 | 0.01408 | 0.11654 | 0.07006 | 0.58275 |
LDF | 7 | 0.11278 | 0.06610 | 0.10605 | 0.05902 | 0.20384 | 0.16195 | 0.75005 |
LDF | 8 | 0.13534 | 0.08985 | 0.10340 | 0.05623 | 0.20571 | 0.16393 | 0.74005 |
LDF | 53 | 0.15489 | 0.11043 | 0.07559 | 0.02695 | 0.16667 | 0.12282 | 0.58357 |
INFLO | 48 | 0.14286 | 0.09776 | 0.12417 | 0.07809 | 0.20629 | 0.16454 | 0.72138 |
INFLO | 57 | 0.13534 | 0.08985 | 0.13323 | 0.08763 | 0.22880 | 0.18822 | 0.72982 |
INFLO | 68 | 0.12782 | 0.08193 | 0.13238 | 0.08673 | 0.23127 | 0.19083 | 0.73033 |
INFLO | 75 | 0.12782 | 0.08193 | 0.13225 | 0.08660 | 0.22785 | 0.18722 | 0.73356 |
COF | 28 | 0.11278 | 0.06610 | 0.10966 | 0.06282 | 0.23090 | 0.19044 | 0.72842 |
COF | 42 | 0.09023 | 0.04236 | 0.10492 | 0.05783 | 0.23394 | 0.19363 | 0.71871 |
COF | 90 | 0.17293 | 0.12942 | 0.12177 | 0.07556 | 0.21299 | 0.17158 | 0.67422 |
COF | 91 | 0.16541 | 0.12151 | 0.12236 | 0.07618 | 0.21000 | 0.16844 | 0.67624 |
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 (73.1 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 | 2 | 0.23973 | 0.19991 | 0.15855 | 0.11448 | 0.25217 | 0.21301 | 0.77751 |
KNN | 3 | 0.23288 | 0.19270 | 0.16563 | 0.12194 | 0.25316 | 0.21405 | 0.78849 |
KNN | 4 | 0.23288 | 0.19270 | 0.16546 | 0.12176 | 0.25360 | 0.21452 | 0.78866 |
KNNW | 2 | 0.22603 | 0.18550 | 0.14342 | 0.09857 | 0.23827 | 0.19838 | 0.72773 |
KNNW | 8 | 0.21233 | 0.17108 | 0.15974 | 0.11573 | 0.25000 | 0.21072 | 0.78209 |
KNNW | 9 | 0.22603 | 0.18550 | 0.15913 | 0.11509 | 0.25625 | 0.21730 | 0.78202 |
LOF | 8 | 0.10959 | 0.06296 | 0.08725 | 0.03946 | 0.16429 | 0.12052 | 0.71609 |
LOF | 15 | 0.05479 | 0.00530 | 0.09693 | 0.04964 | 0.19451 | 0.15233 | 0.75471 |
LOF | 30 | 0.01370 | -0.03795 | 0.08803 | 0.04027 | 0.19898 | 0.15704 | 0.73884 |
SimplifiedLOF | 9 | 0.06849 | 0.01971 | 0.07201 | 0.02341 | 0.14205 | 0.09712 | 0.64581 |
SimplifiedLOF | 31 | 0.01370 | -0.03795 | 0.08114 | 0.03302 | 0.17953 | 0.13657 | 0.71583 |
SimplifiedLOF | 39 | 0.01370 | -0.03795 | 0.08093 | 0.03280 | 0.18015 | 0.13722 | 0.71612 |
SimplifiedLOF | 42 | 0.01370 | -0.03795 | 0.07990 | 0.03172 | 0.18456 | 0.14186 | 0.71335 |
LoOP | 12 | 0.13014 | 0.08458 | 0.08024 | 0.03208 | 0.14628 | 0.10158 | 0.67311 |
LoOP | 25 | 0.09589 | 0.04854 | 0.09105 | 0.04345 | 0.17910 | 0.13612 | 0.72480 |
LoOP | 49 | 0.05479 | 0.00530 | 0.08737 | 0.03958 | 0.18745 | 0.14490 | 0.73143 |
LoOP | 52 | 0.04110 | -0.00912 | 0.08724 | 0.03944 | 0.18451 | 0.14180 | 0.73250 |
LDOF | 14 | 0.08904 | 0.04134 | 0.07335 | 0.02482 | 0.14251 | 0.09760 | 0.63691 |
LDOF | 38 | 0.04795 | -0.00191 | 0.08303 | 0.03501 | 0.17603 | 0.13289 | 0.70752 |
LDOF | 53 | 0.04795 | -0.00191 | 0.08496 | 0.03705 | 0.17091 | 0.12749 | 0.72020 |
LDOF | 69 | 0.04795 | -0.00191 | 0.08451 | 0.03657 | 0.17165 | 0.12827 | 0.72221 |
ODIN | 94 | 0.15813 | 0.11404 | 0.10682 | 0.06005 | 0.18814 | 0.14562 | 0.71605 |
ODIN | 96 | 0.15932 | 0.11530 | 0.10699 | 0.06022 | 0.18519 | 0.14252 | 0.71534 |
ODIN | 99 | 0.15535 | 0.11112 | 0.10765 | 0.06093 | 0.18614 | 0.14352 | 0.71616 |
ODIN | 100 | 0.15629 | 0.11211 | 0.10788 | 0.06116 | 0.18614 | 0.14352 | 0.71585 |
FastABOD | 81 | 0.15068 | 0.10621 | 0.10270 | 0.05571 | 0.19271 | 0.15043 | 0.69140 |
FastABOD | 84 | 0.15068 | 0.10621 | 0.10295 | 0.05598 | 0.19321 | 0.15096 | 0.69161 |
FastABOD | 99 | 0.15068 | 0.10621 | 0.10671 | 0.05993 | 0.19474 | 0.15257 | 0.69071 |
FastABOD | 100 | 0.15068 | 0.10621 | 0.10753 | 0.06079 | 0.19474 | 0.15257 | 0.69074 |
KDEOS | 28 | 0.08219 | 0.03413 | 0.07592 | 0.02753 | 0.13148 | 0.08600 | 0.63868 |
KDEOS | 30 | 0.10274 | 0.05575 | 0.07331 | 0.02478 | 0.12874 | 0.08311 | 0.62962 |
KDEOS | 53 | 0.07534 | 0.02692 | 0.07098 | 0.02233 | 0.14016 | 0.09513 | 0.64728 |
KDEOS | 68 | 0.05479 | 0.00530 | 0.06627 | 0.01738 | 0.14628 | 0.10157 | 0.64481 |
LDF | 6 | 0.10274 | 0.05575 | 0.10448 | 0.05758 | 0.19165 | 0.14932 | 0.75135 |
LDF | 7 | 0.09589 | 0.04854 | 0.10221 | 0.05519 | 0.19264 | 0.15037 | 0.75219 |
INFLO | 9 | 0.10274 | 0.05575 | 0.08266 | 0.03462 | 0.16425 | 0.12049 | 0.68372 |
INFLO | 17 | 0.05479 | 0.00530 | 0.08890 | 0.04119 | 0.18519 | 0.14252 | 0.72505 |
INFLO | 18 | 0.06164 | 0.01250 | 0.08901 | 0.04130 | 0.18424 | 0.14152 | 0.72708 |
COF | 14 | 0.09589 | 0.04854 | 0.08277 | 0.03474 | 0.16894 | 0.12542 | 0.67842 |
COF | 30 | 0.06164 | 0.01250 | 0.09618 | 0.04884 | 0.20290 | 0.16116 | 0.73167 |
COF | 31 | 0.05479 | 0.00530 | 0.09494 | 0.04755 | 0.20000 | 0.15811 | 0.73296 |
COF | 36 | 0.04110 | -0.00912 | 0.09293 | 0.04542 | 0.20735 | 0.16584 | 0.73123 |
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 (68.3 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 | 0.19549 | 0.15316 | 0.18280 | 0.13980 | 0.26140 | 0.22254 | 0.77302 |
KNN | 2 | 0.20301 | 0.16108 | 0.17789 | 0.13464 | 0.24928 | 0.20978 | 0.77341 |
KNN | 3 | 0.21053 | 0.16899 | 0.17638 | 0.13305 | 0.25405 | 0.21481 | 0.77110 |
KNNW | 1 | 0.20301 | 0.16108 | 0.18043 | 0.13731 | 0.22837 | 0.18778 | 0.71036 |
KNNW | 3 | 0.20301 | 0.16108 | 0.17810 | 0.13486 | 0.24501 | 0.20529 | 0.77059 |
KNNW | 11 | 0.18045 | 0.13733 | 0.17050 | 0.12686 | 0.25507 | 0.21588 | 0.76567 |
LOF | 11 | 0.12030 | 0.07402 | 0.08423 | 0.03605 | 0.12760 | 0.08170 | 0.57238 |
LOF | 95 | 0.10526 | 0.05819 | 0.10651 | 0.05950 | 0.15445 | 0.10997 | 0.65287 |
LOF | 100 | 0.10526 | 0.05819 | 0.10642 | 0.05941 | 0.15561 | 0.11119 | 0.65832 |
SimplifiedLOF | 57 | 0.12782 | 0.08193 | 0.10350 | 0.05634 | 0.15385 | 0.10933 | 0.59991 |
SimplifiedLOF | 98 | 0.14286 | 0.09776 | 0.10919 | 0.06232 | 0.15120 | 0.10655 | 0.61683 |
SimplifiedLOF | 99 | 0.13534 | 0.08985 | 0.10928 | 0.06242 | 0.15225 | 0.10765 | 0.61694 |
SimplifiedLOF | 100 | 0.12782 | 0.08193 | 0.10892 | 0.06203 | 0.15331 | 0.10877 | 0.61759 |
LoOP | 1 | 0.13534 | 0.08985 | 0.08169 | 0.03337 | 0.14525 | 0.10028 | 0.57611 |
LoOP | 81 | 0.11278 | 0.06610 | 0.09232 | 0.04456 | 0.14545 | 0.10050 | 0.58027 |
LoOP | 82 | 0.11278 | 0.06610 | 0.08979 | 0.04191 | 0.14870 | 0.10391 | 0.58143 |
LoOP | 100 | 0.12030 | 0.07402 | 0.08975 | 0.04186 | 0.14583 | 0.10089 | 0.58924 |
LDOF | 2 | 0.14286 | 0.09776 | 0.08025 | 0.03186 | 0.15455 | 0.11007 | 0.50275 |
LDOF | 100 | 0.08271 | 0.03445 | 0.07708 | 0.02852 | 0.11748 | 0.07105 | 0.52820 |
ODIN | 3 | 0.07396 | 0.02525 | 0.06279 | 0.01349 | 0.11519 | 0.06864 | 0.59218 |
ODIN | 4 | 0.06950 | 0.02054 | 0.06193 | 0.01258 | 0.11722 | 0.07078 | 0.59394 |
ODIN | 7 | 0.07792 | 0.02941 | 0.06100 | 0.01159 | 0.11390 | 0.06728 | 0.58148 |
ODIN | 20 | 0.04887 | -0.00117 | 0.05926 | 0.00976 | 0.12038 | 0.07410 | 0.58798 |
FastABOD | 4 | 0.16541 | 0.12151 | 0.16509 | 0.12117 | 0.22287 | 0.18198 | 0.76139 |
FastABOD | 6 | 0.16541 | 0.12151 | 0.16664 | 0.12279 | 0.22888 | 0.18831 | 0.76068 |
FastABOD | 16 | 0.15789 | 0.11359 | 0.16275 | 0.11871 | 0.23229 | 0.19191 | 0.75858 |
KDEOS | 3 | 0.09023 | 0.04236 | 0.07058 | 0.02168 | 0.12831 | 0.08245 | 0.56946 |
KDEOS | 47 | 0.04511 | -0.00512 | 0.06188 | 0.01253 | 0.13425 | 0.08871 | 0.59146 |
KDEOS | 99 | 0.06767 | 0.01862 | 0.07018 | 0.02127 | 0.12797 | 0.08209 | 0.60755 |
LDF | 53 | 0.20301 | 0.16108 | 0.13281 | 0.08719 | 0.20979 | 0.16822 | 0.70008 |
LDF | 57 | 0.18797 | 0.14525 | 0.13425 | 0.08870 | 0.21359 | 0.17222 | 0.70341 |
LDF | 99 | 0.20301 | 0.16108 | 0.14167 | 0.09651 | 0.21359 | 0.17222 | 0.74247 |
LDF | 100 | 0.20301 | 0.16108 | 0.13801 | 0.09266 | 0.20915 | 0.16754 | 0.74265 |
INFLO | 10 | 0.11278 | 0.06610 | 0.07785 | 0.02934 | 0.12621 | 0.08024 | 0.54631 |
INFLO | 15 | 0.10526 | 0.05819 | 0.08278 | 0.03453 | 0.14884 | 0.10406 | 0.62242 |
INFLO | 96 | 0.11278 | 0.06610 | 0.10199 | 0.05474 | 0.16653 | 0.12268 | 0.61261 |
COF | 82 | 0.15038 | 0.10568 | 0.13284 | 0.08722 | 0.19324 | 0.15079 | 0.65472 |
COF | 85 | 0.15038 | 0.10568 | 0.13378 | 0.08821 | 0.18719 | 0.14443 | 0.65764 |
COF | 93 | 0.15038 | 0.10568 | 0.13436 | 0.08882 | 0.18812 | 0.14541 | 0.65201 |
COF | 98 | 0.15789 | 0.11359 | 0.13426 | 0.08871 | 0.18905 | 0.14639 | 0.64932 |
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 (69.6 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 | 0.23973 | 0.19991 | 0.18128 | 0.13841 | 0.24549 | 0.20598 | 0.75130 |
KNN | 5 | 0.22603 | 0.18550 | 0.17925 | 0.13627 | 0.24615 | 0.20668 | 0.77406 |
KNN | 6 | 0.22603 | 0.18550 | 0.17265 | 0.12932 | 0.25197 | 0.21280 | 0.77120 |
KNN | 8 | 0.24658 | 0.20712 | 0.17022 | 0.12676 | 0.25185 | 0.21267 | 0.77101 |
KNNW | 6 | 0.23973 | 0.19991 | 0.18077 | 0.13787 | 0.24291 | 0.20327 | 0.76600 |
KNNW | 14 | 0.24658 | 0.20712 | 0.16879 | 0.12526 | 0.24913 | 0.20981 | 0.77038 |
KNNW | 18 | 0.24658 | 0.20712 | 0.16399 | 0.12021 | 0.25256 | 0.21342 | 0.77173 |
KNNW | 28 | 0.23973 | 0.19991 | 0.15765 | 0.11354 | 0.24242 | 0.20275 | 0.77272 |
LOF | 3 | 0.12329 | 0.07738 | 0.05845 | 0.00915 | 0.12667 | 0.08093 | 0.51296 |
LOF | 100 | 0.07534 | 0.02692 | 0.07901 | 0.03078 | 0.15403 | 0.10973 | 0.64697 |
SimplifiedLOF | 6 | 0.12329 | 0.07738 | 0.06815 | 0.01935 | 0.13548 | 0.09021 | 0.55056 |
SimplifiedLOF | 7 | 0.12329 | 0.07738 | 0.06989 | 0.02118 | 0.14286 | 0.09797 | 0.55750 |
SimplifiedLOF | 9 | 0.12329 | 0.07738 | 0.06929 | 0.02055 | 0.14319 | 0.09832 | 0.56224 |
SimplifiedLOF | 100 | 0.07534 | 0.02692 | 0.06575 | 0.01682 | 0.12658 | 0.08084 | 0.60919 |
LoOP | 1 | 0.08904 | 0.04134 | 0.07542 | 0.02700 | 0.12855 | 0.08292 | 0.56288 |
LoOP | 8 | 0.13014 | 0.08458 | 0.07026 | 0.02157 | 0.14400 | 0.09917 | 0.55183 |
LoOP | 9 | 0.13699 | 0.09179 | 0.07166 | 0.02305 | 0.14085 | 0.09585 | 0.56045 |
LoOP | 100 | 0.04110 | -0.00912 | 0.05938 | 0.01012 | 0.11872 | 0.07257 | 0.58348 |
LDOF | 2 | 0.08219 | 0.03413 | 0.06444 | 0.01544 | 0.12121 | 0.07519 | 0.50095 |
LDOF | 6 | 0.10959 | 0.06296 | 0.05831 | 0.00899 | 0.12121 | 0.07519 | 0.46566 |
LDOF | 9 | 0.10274 | 0.05575 | 0.06074 | 0.01155 | 0.13587 | 0.09062 | 0.48904 |
LDOF | 100 | 0.03425 | -0.01633 | 0.05098 | 0.00128 | 0.10437 | 0.05747 | 0.52395 |
ODIN | 7 | 0.07190 | 0.02329 | 0.05937 | 0.01011 | 0.11622 | 0.06993 | 0.57753 |
ODIN | 10 | 0.05698 | 0.00760 | 0.06077 | 0.01159 | 0.12178 | 0.07580 | 0.60233 |
ODIN | 11 | 0.06217 | 0.01306 | 0.06091 | 0.01173 | 0.12285 | 0.07692 | 0.60047 |
ODIN | 12 | 0.05714 | 0.00776 | 0.06067 | 0.01148 | 0.12371 | 0.07782 | 0.60034 |
FastABOD | 9 | 0.23973 | 0.19991 | 0.14819 | 0.10359 | 0.23973 | 0.19991 | 0.76748 |
FastABOD | 88 | 0.23288 | 0.19270 | 0.17515 | 0.13196 | 0.25076 | 0.21153 | 0.77287 |
FastABOD | 100 | 0.23288 | 0.19270 | 0.17557 | 0.13240 | 0.25076 | 0.21153 | 0.77338 |
KDEOS | 6 | 0.10274 | 0.05575 | 0.06033 | 0.01112 | 0.11247 | 0.06599 | 0.53050 |
KDEOS | 38 | 0.04795 | -0.00191 | 0.05845 | 0.00914 | 0.12300 | 0.07708 | 0.56817 |
KDEOS | 97 | 0.06849 | 0.01971 | 0.06861 | 0.01983 | 0.12080 | 0.07475 | 0.59907 |
KDEOS | 99 | 0.07534 | 0.02692 | 0.06853 | 0.01975 | 0.12107 | 0.07505 | 0.59965 |
LDF | 89 | 0.17808 | 0.13504 | 0.12756 | 0.08187 | 0.19802 | 0.15602 | 0.71227 |
LDF | 92 | 0.19178 | 0.14946 | 0.12884 | 0.08322 | 0.19795 | 0.15595 | 0.71888 |
LDF | 98 | 0.17808 | 0.13504 | 0.12963 | 0.08405 | 0.19658 | 0.15451 | 0.72823 |
LDF | 100 | 0.17808 | 0.13504 | 0.13038 | 0.08484 | 0.19543 | 0.15329 | 0.72778 |
INFLO | 7 | 0.13014 | 0.08458 | 0.06985 | 0.02114 | 0.13605 | 0.09081 | 0.56856 |
INFLO | 100 | 0.06164 | 0.01250 | 0.07205 | 0.02345 | 0.16920 | 0.12569 | 0.62141 |
COF | 2 | 0.13014 | 0.08458 | 0.06971 | 0.02099 | 0.13968 | 0.09463 | 0.55941 |
COF | 9 | 0.11644 | 0.07017 | 0.06903 | 0.02028 | 0.14330 | 0.09844 | 0.57216 |
COF | 100 | 0.08904 | 0.04134 | 0.07130 | 0.02267 | 0.13262 | 0.08719 | 0.61987 |