SpamBase (5% of outliers version#03)
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 | 0.19549 | 0.15316 | 0.15434 | 0.10985 | 0.24304 | 0.20321 | 0.74916 |
KNNW | 1 | 0.21053 | 0.16899 | 0.14011 | 0.09487 | 0.23864 | 0.19858 | 0.69009 |
KNNW | 3 | 0.20301 | 0.16108 | 0.14853 | 0.10374 | 0.24607 | 0.20641 | 0.73936 |
KNNW | 4 | 0.18797 | 0.14525 | 0.14900 | 0.10422 | 0.24873 | 0.20921 | 0.73925 |
LOF | 10 | 0.15789 | 0.11359 | 0.11422 | 0.06762 | 0.19481 | 0.15244 | 0.75334 |
LOF | 13 | 0.12782 | 0.08193 | 0.10956 | 0.06271 | 0.19888 | 0.15673 | 0.76036 |
LOF | 18 | 0.10526 | 0.05819 | 0.10332 | 0.05615 | 0.20570 | 0.16391 | 0.75189 |
LOF | 82 | 0.14286 | 0.09776 | 0.12115 | 0.07492 | 0.19807 | 0.15588 | 0.70887 |
SimplifiedLOF | 12 | 0.13534 | 0.08985 | 0.09259 | 0.04485 | 0.17453 | 0.13110 | 0.69448 |
SimplifiedLOF | 24 | 0.06767 | 0.01862 | 0.09260 | 0.04486 | 0.18579 | 0.14296 | 0.72166 |
SimplifiedLOF | 27 | 0.02256 | -0.02887 | 0.09080 | 0.04297 | 0.18730 | 0.14455 | 0.71828 |
SimplifiedLOF | 100 | 0.12030 | 0.07402 | 0.09937 | 0.05198 | 0.16271 | 0.11866 | 0.67457 |
LoOP | 12 | 0.14286 | 0.09776 | 0.10379 | 0.05664 | 0.18103 | 0.13795 | 0.70826 |
LoOP | 24 | 0.13534 | 0.08985 | 0.10563 | 0.05858 | 0.18630 | 0.14349 | 0.73830 |
LoOP | 94 | 0.13534 | 0.08985 | 0.12130 | 0.07507 | 0.19958 | 0.15747 | 0.71562 |
LoOP | 100 | 0.14286 | 0.09776 | 0.12073 | 0.07448 | 0.20737 | 0.16567 | 0.71474 |
LDOF | 17 | 0.15038 | 0.10568 | 0.09971 | 0.05235 | 0.17255 | 0.12902 | 0.70022 |
LDOF | 41 | 0.11278 | 0.06610 | 0.09988 | 0.05252 | 0.18025 | 0.13712 | 0.72598 |
LDOF | 45 | 0.12030 | 0.07402 | 0.10419 | 0.05706 | 0.18703 | 0.14426 | 0.72570 |
LDOF | 100 | 0.15038 | 0.10568 | 0.11823 | 0.07184 | 0.17722 | 0.13393 | 0.70431 |
ODIN | 84 | 0.14425 | 0.09923 | 0.11202 | 0.06531 | 0.19745 | 0.15523 | 0.70741 |
ODIN | 90 | 0.14052 | 0.09531 | 0.11227 | 0.06557 | 0.20033 | 0.15826 | 0.70816 |
ODIN | 92 | 0.13715 | 0.09176 | 0.11234 | 0.06564 | 0.19865 | 0.15649 | 0.70826 |
FastABOD | 5 | 0.17293 | 0.12942 | 0.12839 | 0.08254 | 0.23558 | 0.19536 | 0.70839 |
FastABOD | 9 | 0.19549 | 0.15316 | 0.12681 | 0.08087 | 0.23056 | 0.19008 | 0.70200 |
FastABOD | 50 | 0.17293 | 0.12942 | 0.13739 | 0.09200 | 0.21839 | 0.17727 | 0.69530 |
KDEOS | 6 | 0.09023 | 0.04236 | 0.06408 | 0.01484 | 0.11485 | 0.06828 | 0.55837 |
KDEOS | 97 | 0.08271 | 0.03445 | 0.07648 | 0.02789 | 0.13333 | 0.08774 | 0.61701 |
KDEOS | 100 | 0.08271 | 0.03445 | 0.07947 | 0.03104 | 0.13119 | 0.08548 | 0.62341 |
LDF | 5 | 0.09774 | 0.05028 | 0.10044 | 0.05311 | 0.20536 | 0.16355 | 0.71969 |
LDF | 6 | 0.10526 | 0.05819 | 0.09572 | 0.04815 | 0.19677 | 0.15451 | 0.72029 |
LDF | 54 | 0.16541 | 0.12151 | 0.08011 | 0.03171 | 0.16604 | 0.12216 | 0.57057 |
INFLO | 8 | 0.14286 | 0.09776 | 0.10337 | 0.05619 | 0.18889 | 0.14622 | 0.70894 |
INFLO | 24 | 0.07519 | 0.02653 | 0.09927 | 0.05188 | 0.19410 | 0.15170 | 0.74337 |
INFLO | 72 | 0.13534 | 0.08985 | 0.12469 | 0.07864 | 0.22069 | 0.17969 | 0.72061 |
INFLO | 82 | 0.14286 | 0.09776 | 0.12746 | 0.08156 | 0.21395 | 0.17260 | 0.72531 |
COF | 16 | 0.15038 | 0.10568 | 0.10304 | 0.05585 | 0.18954 | 0.14690 | 0.70742 |
COF | 21 | 0.12782 | 0.08193 | 0.10435 | 0.05723 | 0.21429 | 0.17295 | 0.71647 |
COF | 23 | 0.12030 | 0.07402 | 0.10372 | 0.05657 | 0.21905 | 0.17796 | 0.71696 |
COF | 26 | 0.10526 | 0.05819 | 0.10375 | 0.05660 | 0.20938 | 0.16778 | 0.71970 |
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 (72.7 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 | 0.23288 | 0.19270 | 0.16192 | 0.11803 | 0.26353 | 0.22496 | 0.77798 |
KNN | 2 | 0.22603 | 0.18550 | 0.15849 | 0.11442 | 0.26776 | 0.22941 | 0.78767 |
KNNW | 1 | 0.22603 | 0.18550 | 0.14275 | 0.09785 | 0.24848 | 0.20913 | 0.71815 |
KNNW | 4 | 0.21918 | 0.17829 | 0.15717 | 0.11304 | 0.26565 | 0.22720 | 0.77929 |
KNNW | 5 | 0.20548 | 0.16387 | 0.15796 | 0.11386 | 0.25731 | 0.21842 | 0.78037 |
LOF | 8 | 0.06849 | 0.01971 | 0.08288 | 0.03486 | 0.17508 | 0.13189 | 0.69668 |
LOF | 9 | 0.06849 | 0.01971 | 0.08622 | 0.03836 | 0.18062 | 0.13771 | 0.70851 |
LOF | 25 | 0.00685 | -0.04516 | 0.08109 | 0.03297 | 0.18318 | 0.14041 | 0.71850 |
LOF | 28 | 0.00685 | -0.04516 | 0.08069 | 0.03254 | 0.18588 | 0.14325 | 0.71489 |
SimplifiedLOF | 1 | 0.07534 | 0.02692 | 0.06129 | 0.01214 | 0.12489 | 0.07907 | 0.57785 |
SimplifiedLOF | 34 | 0.00685 | -0.04516 | 0.07536 | 0.02694 | 0.16749 | 0.12389 | 0.69856 |
SimplifiedLOF | 44 | 0.00685 | -0.04516 | 0.07455 | 0.02609 | 0.17371 | 0.13043 | 0.69287 |
LoOP | 1 | 0.06849 | 0.01971 | 0.06650 | 0.01762 | 0.12456 | 0.07871 | 0.57544 |
LoOP | 45 | 0.02740 | -0.02354 | 0.07818 | 0.02990 | 0.17736 | 0.13428 | 0.70598 |
LoOP | 51 | 0.02740 | -0.02354 | 0.07895 | 0.03071 | 0.17291 | 0.12959 | 0.70768 |
LDOF | 2 | 0.06849 | 0.01971 | 0.06995 | 0.02124 | 0.11745 | 0.07123 | 0.53302 |
LDOF | 51 | 0.02740 | -0.02354 | 0.07675 | 0.02840 | 0.16720 | 0.12359 | 0.70186 |
LDOF | 61 | 0.02055 | -0.03074 | 0.07678 | 0.02843 | 0.17194 | 0.12857 | 0.70038 |
LDOF | 62 | 0.02055 | -0.03074 | 0.07697 | 0.02863 | 0.17183 | 0.12846 | 0.70098 |
ODIN | 10 | 0.10472 | 0.05783 | 0.08024 | 0.03208 | 0.14336 | 0.09850 | 0.66534 |
ODIN | 100 | 0.09992 | 0.05278 | 0.09692 | 0.04963 | 0.19856 | 0.15659 | 0.70802 |
FastABOD | 20 | 0.07534 | 0.02692 | 0.09792 | 0.05068 | 0.19632 | 0.15423 | 0.69902 |
FastABOD | 37 | 0.06849 | 0.01971 | 0.09634 | 0.04902 | 0.20000 | 0.15811 | 0.69423 |
FastABOD | 77 | 0.08904 | 0.04134 | 0.10067 | 0.05358 | 0.19444 | 0.15226 | 0.69206 |
FastABOD | 100 | 0.08219 | 0.03413 | 0.10480 | 0.05792 | 0.19016 | 0.14776 | 0.69069 |
KDEOS | 6 | 0.10274 | 0.05575 | 0.06979 | 0.02108 | 0.11862 | 0.07246 | 0.58049 |
KDEOS | 52 | 0.07534 | 0.02692 | 0.07316 | 0.02463 | 0.14238 | 0.09747 | 0.66003 |
KDEOS | 56 | 0.07534 | 0.02692 | 0.07361 | 0.02510 | 0.14397 | 0.09914 | 0.65899 |
KDEOS | 61 | 0.08904 | 0.04134 | 0.07533 | 0.02691 | 0.13989 | 0.09485 | 0.65880 |
LDF | 4 | 0.09589 | 0.04854 | 0.08823 | 0.04048 | 0.17237 | 0.12903 | 0.70555 |
LDF | 5 | 0.07534 | 0.02692 | 0.09255 | 0.04503 | 0.18480 | 0.14211 | 0.72446 |
INFLO | 3 | 0.06164 | 0.01250 | 0.06319 | 0.01414 | 0.13666 | 0.09145 | 0.60235 |
INFLO | 9 | 0.04795 | -0.00191 | 0.08216 | 0.03409 | 0.17044 | 0.12700 | 0.68842 |
INFLO | 10 | 0.04110 | -0.00912 | 0.08211 | 0.03404 | 0.17783 | 0.13477 | 0.68801 |
INFLO | 16 | 0.04110 | -0.00912 | 0.08090 | 0.03277 | 0.17162 | 0.12824 | 0.70587 |
COF | 1 | 0.07534 | 0.02692 | 0.06283 | 0.01375 | 0.12552 | 0.07973 | 0.59373 |
COF | 28 | 0.03425 | -0.01633 | 0.08650 | 0.03866 | 0.19181 | 0.14949 | 0.72179 |
COF | 39 | 0.02055 | -0.03074 | 0.08732 | 0.03953 | 0.18398 | 0.14124 | 0.71281 |
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 (67.3 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 | 0.24436 | 0.20461 | 0.18042 | 0.13730 | 0.26632 | 0.22772 | 0.73536 |
KNN | 2 | 0.23308 | 0.19273 | 0.18632 | 0.14351 | 0.26425 | 0.22554 | 0.73824 |
KNN | 4 | 0.22556 | 0.18482 | 0.17864 | 0.13543 | 0.26699 | 0.22843 | 0.73584 |
KNN | 55 | 0.18045 | 0.13733 | 0.14368 | 0.09863 | 0.23559 | 0.19537 | 0.75094 |
KNNW | 2 | 0.25564 | 0.21648 | 0.18007 | 0.13693 | 0.26255 | 0.22375 | 0.73285 |
KNNW | 3 | 0.24812 | 0.20856 | 0.18534 | 0.14248 | 0.25974 | 0.22079 | 0.73309 |
KNNW | 8 | 0.23308 | 0.19273 | 0.17852 | 0.13530 | 0.26699 | 0.22843 | 0.73380 |
KNNW | 100 | 0.18045 | 0.13733 | 0.14498 | 0.10000 | 0.24020 | 0.20022 | 0.75061 |
LOF | 10 | 0.14286 | 0.09776 | 0.08773 | 0.03973 | 0.15029 | 0.10559 | 0.57132 |
LOF | 26 | 0.13534 | 0.08985 | 0.09887 | 0.05147 | 0.16216 | 0.11808 | 0.60365 |
LOF | 27 | 0.14286 | 0.09776 | 0.09800 | 0.05055 | 0.16304 | 0.11901 | 0.60394 |
LOF | 98 | 0.11278 | 0.06610 | 0.09757 | 0.05009 | 0.14933 | 0.10458 | 0.65336 |
SimplifiedLOF | 12 | 0.15789 | 0.11359 | 0.09195 | 0.04418 | 0.15970 | 0.11549 | 0.58671 |
SimplifiedLOF | 35 | 0.15038 | 0.10568 | 0.10776 | 0.06082 | 0.17747 | 0.13420 | 0.62253 |
SimplifiedLOF | 94 | 0.15038 | 0.10568 | 0.10668 | 0.05968 | 0.16140 | 0.11728 | 0.63524 |
LoOP | 35 | 0.13534 | 0.08985 | 0.09215 | 0.04439 | 0.16129 | 0.11717 | 0.60819 |
LoOP | 37 | 0.15038 | 0.10568 | 0.09205 | 0.04428 | 0.15730 | 0.11297 | 0.60800 |
LoOP | 51 | 0.14286 | 0.09776 | 0.09316 | 0.04545 | 0.15625 | 0.11186 | 0.60993 |
LoOP | 72 | 0.13534 | 0.08985 | 0.09169 | 0.04390 | 0.15385 | 0.10933 | 0.61174 |
LDOF | 2 | 0.10526 | 0.05819 | 0.08445 | 0.03628 | 0.13514 | 0.08963 | 0.51804 |
LDOF | 30 | 0.14286 | 0.09776 | 0.07880 | 0.03033 | 0.14876 | 0.10398 | 0.55879 |
LDOF | 51 | 0.12030 | 0.07402 | 0.08183 | 0.03352 | 0.14612 | 0.10120 | 0.57165 |
ODIN | 54 | 0.09774 | 0.05028 | 0.06694 | 0.01785 | 0.11849 | 0.07211 | 0.58834 |
ODIN | 69 | 0.09023 | 0.04236 | 0.06825 | 0.01923 | 0.12247 | 0.07630 | 0.59674 |
ODIN | 88 | 0.08886 | 0.04092 | 0.07119 | 0.02233 | 0.11683 | 0.07037 | 0.59819 |
ODIN | 99 | 0.09023 | 0.04236 | 0.07114 | 0.02227 | 0.11962 | 0.07330 | 0.60454 |
FastABOD | 3 | 0.19549 | 0.15316 | 0.15960 | 0.11539 | 0.24017 | 0.20019 | 0.74897 |
FastABOD | 5 | 0.20301 | 0.16108 | 0.16101 | 0.11687 | 0.25597 | 0.21682 | 0.74486 |
FastABOD | 60 | 0.21805 | 0.17691 | 0.16211 | 0.11803 | 0.24779 | 0.20821 | 0.74149 |
FastABOD | 73 | 0.21805 | 0.17691 | 0.16235 | 0.11828 | 0.24834 | 0.20879 | 0.74115 |
KDEOS | 63 | 0.06767 | 0.01862 | 0.07115 | 0.02228 | 0.13761 | 0.09224 | 0.61654 |
KDEOS | 73 | 0.09774 | 0.05028 | 0.07411 | 0.02539 | 0.13425 | 0.08870 | 0.61956 |
KDEOS | 83 | 0.12782 | 0.08193 | 0.07394 | 0.02521 | 0.13383 | 0.08826 | 0.61527 |
KDEOS | 95 | 0.12030 | 0.07402 | 0.07511 | 0.02646 | 0.13483 | 0.08931 | 0.61900 |
LDF | 82 | 0.16541 | 0.12151 | 0.13189 | 0.08622 | 0.18947 | 0.14683 | 0.71315 |
LDF | 87 | 0.17293 | 0.12942 | 0.13087 | 0.08514 | 0.19580 | 0.15349 | 0.71610 |
LDF | 91 | 0.18797 | 0.14525 | 0.13037 | 0.08462 | 0.19495 | 0.15259 | 0.72054 |
LDF | 100 | 0.18045 | 0.13733 | 0.12270 | 0.07655 | 0.19048 | 0.14789 | 0.72862 |
INFLO | 20 | 0.15038 | 0.10568 | 0.09446 | 0.04682 | 0.15228 | 0.10768 | 0.64006 |
INFLO | 29 | 0.12030 | 0.07402 | 0.09911 | 0.05172 | 0.15623 | 0.11184 | 0.64982 |
INFLO | 60 | 0.12030 | 0.07402 | 0.09829 | 0.05085 | 0.16432 | 0.12036 | 0.65028 |
INFLO | 99 | 0.12030 | 0.07402 | 0.09788 | 0.05041 | 0.16984 | 0.12617 | 0.63491 |
COF | 49 | 0.15789 | 0.11359 | 0.13241 | 0.08677 | 0.17552 | 0.13214 | 0.63285 |
COF | 73 | 0.17293 | 0.12942 | 0.12733 | 0.08141 | 0.17680 | 0.13349 | 0.64510 |
COF | 90 | 0.17293 | 0.12942 | 0.12717 | 0.08125 | 0.18487 | 0.14199 | 0.65297 |
COF | 97 | 0.17293 | 0.12942 | 0.12894 | 0.08311 | 0.20465 | 0.16281 | 0.64610 |
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 | 2 | 0.22603 | 0.18550 | 0.18771 | 0.14517 | 0.24022 | 0.20044 | 0.76702 |
KNN | 5 | 0.23973 | 0.19991 | 0.18519 | 0.14252 | 0.25000 | 0.21072 | 0.76336 |
KNN | 7 | 0.23973 | 0.19991 | 0.17985 | 0.13690 | 0.25294 | 0.21382 | 0.76278 |
KNNW | 2 | 0.22603 | 0.18550 | 0.18145 | 0.13859 | 0.26158 | 0.22291 | 0.75647 |
KNNW | 4 | 0.21918 | 0.17829 | 0.18942 | 0.14697 | 0.25238 | 0.21323 | 0.76118 |
KNNW | 8 | 0.23973 | 0.19991 | 0.18498 | 0.14230 | 0.25000 | 0.21072 | 0.76248 |
KNNW | 10 | 0.24658 | 0.20712 | 0.18301 | 0.14023 | 0.25000 | 0.21072 | 0.76074 |
LOF | 7 | 0.09589 | 0.04854 | 0.06236 | 0.01326 | 0.11275 | 0.06628 | 0.56372 |
LOF | 97 | 0.06849 | 0.01971 | 0.08535 | 0.03745 | 0.14212 | 0.09720 | 0.64043 |
LOF | 100 | 0.06849 | 0.01971 | 0.08641 | 0.03857 | 0.14183 | 0.09689 | 0.64216 |
SimplifiedLOF | 92 | 0.08219 | 0.03413 | 0.06942 | 0.02069 | 0.13636 | 0.09114 | 0.61248 |
SimplifiedLOF | 100 | 0.09589 | 0.04854 | 0.07201 | 0.02342 | 0.13620 | 0.09096 | 0.61487 |
LoOP | 1 | 0.10959 | 0.06296 | 0.06982 | 0.02111 | 0.12147 | 0.07546 | 0.55612 |
LoOP | 20 | 0.06849 | 0.01971 | 0.06443 | 0.01544 | 0.11919 | 0.07307 | 0.59692 |
LoOP | 97 | 0.07534 | 0.02692 | 0.06630 | 0.01740 | 0.12924 | 0.08364 | 0.58633 |
LDOF | 2 | 0.10274 | 0.05575 | 0.07296 | 0.02442 | 0.12171 | 0.07572 | 0.50101 |
LDOF | 4 | 0.06849 | 0.01971 | 0.06036 | 0.01115 | 0.13095 | 0.08544 | 0.50077 |
LDOF | 100 | 0.06849 | 0.01971 | 0.05701 | 0.00763 | 0.10390 | 0.05697 | 0.54358 |
ODIN | 5 | 0.07729 | 0.02898 | 0.06406 | 0.01505 | 0.12195 | 0.07597 | 0.60590 |
ODIN | 9 | 0.05134 | 0.00166 | 0.06138 | 0.01223 | 0.12519 | 0.07938 | 0.60738 |
ODIN | 14 | 0.05092 | 0.00122 | 0.06367 | 0.01463 | 0.12441 | 0.07856 | 0.61692 |
FastABOD | 21 | 0.19863 | 0.15666 | 0.14972 | 0.10519 | 0.24113 | 0.20140 | 0.75232 |
FastABOD | 70 | 0.21918 | 0.17829 | 0.16523 | 0.12152 | 0.24623 | 0.20676 | 0.75197 |
FastABOD | 89 | 0.21918 | 0.17829 | 0.16605 | 0.12238 | 0.25000 | 0.21072 | 0.75221 |
FastABOD | 100 | 0.21918 | 0.17829 | 0.16621 | 0.12255 | 0.25000 | 0.21072 | 0.75224 |
KDEOS | 4 | 0.07534 | 0.02692 | 0.05848 | 0.00917 | 0.11086 | 0.06430 | 0.54186 |
KDEOS | 58 | 0.01370 | -0.03795 | 0.06240 | 0.01330 | 0.12647 | 0.08072 | 0.61275 |
KDEOS | 94 | 0.06164 | 0.01250 | 0.06454 | 0.01556 | 0.13333 | 0.08795 | 0.60924 |
KDEOS | 100 | 0.06164 | 0.01250 | 0.06552 | 0.01658 | 0.13202 | 0.08657 | 0.60998 |
LDF | 89 | 0.21233 | 0.17108 | 0.12323 | 0.07732 | 0.21233 | 0.17108 | 0.68132 |
LDF | 100 | 0.18493 | 0.14225 | 0.12791 | 0.08224 | 0.20238 | 0.16061 | 0.69593 |
INFLO | 8 | 0.09589 | 0.04854 | 0.06683 | 0.01796 | 0.13904 | 0.09395 | 0.59569 |
INFLO | 22 | 0.06849 | 0.01971 | 0.06627 | 0.01737 | 0.16005 | 0.11607 | 0.61997 |
INFLO | 85 | 0.06849 | 0.01971 | 0.07505 | 0.02661 | 0.16726 | 0.12365 | 0.61694 |
INFLO | 100 | 0.06849 | 0.01971 | 0.07921 | 0.03099 | 0.16029 | 0.11632 | 0.58821 |
COF | 88 | 0.08904 | 0.04134 | 0.07786 | 0.02957 | 0.15297 | 0.10862 | 0.65679 |
COF | 100 | 0.10959 | 0.06296 | 0.08582 | 0.03795 | 0.15020 | 0.10570 | 0.66529 |