SpamBase (5% of outliers version#07)
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 (71.6 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 | 0.18045 | 0.13733 | 0.13681 | 0.09140 | 0.25552 | 0.21635 | 0.77805 |
KNN | 2 | 0.19549 | 0.15316 | 0.14853 | 0.10373 | 0.24891 | 0.20939 | 0.79357 |
KNN | 3 | 0.19549 | 0.15316 | 0.15101 | 0.10635 | 0.24815 | 0.20859 | 0.78878 |
KNN | 4 | 0.20301 | 0.16108 | 0.14965 | 0.10491 | 0.25098 | 0.21157 | 0.78294 |
KNNW | 1 | 0.16541 | 0.12151 | 0.13308 | 0.08747 | 0.26916 | 0.23071 | 0.73167 |
KNNW | 5 | 0.21053 | 0.16899 | 0.14710 | 0.10223 | 0.25957 | 0.22061 | 0.78882 |
KNNW | 6 | 0.21805 | 0.17691 | 0.14776 | 0.10292 | 0.25108 | 0.21168 | 0.78781 |
KNNW | 8 | 0.21053 | 0.16899 | 0.14798 | 0.10315 | 0.25322 | 0.21393 | 0.78520 |
LOF | 78 | 0.16541 | 0.12151 | 0.13519 | 0.08970 | 0.22676 | 0.18608 | 0.75446 |
LOF | 80 | 0.16541 | 0.12151 | 0.13461 | 0.08908 | 0.23235 | 0.19196 | 0.75462 |
LOF | 82 | 0.17293 | 0.12942 | 0.13441 | 0.08887 | 0.22453 | 0.18373 | 0.75490 |
LOF | 98 | 0.18045 | 0.13733 | 0.13264 | 0.08701 | 0.22624 | 0.18554 | 0.75282 |
SimplifiedLOF | 100 | 0.18045 | 0.13733 | 0.11894 | 0.07259 | 0.18625 | 0.14344 | 0.71046 |
LoOP | 95 | 0.17293 | 0.12942 | 0.13161 | 0.08592 | 0.21709 | 0.17590 | 0.74420 |
LoOP | 98 | 0.17293 | 0.12942 | 0.13256 | 0.08693 | 0.21860 | 0.17749 | 0.74541 |
LoOP | 100 | 0.17293 | 0.12942 | 0.13252 | 0.08688 | 0.22066 | 0.17966 | 0.74615 |
LDOF | 63 | 0.09023 | 0.04236 | 0.11372 | 0.06709 | 0.18234 | 0.13932 | 0.72179 |
LDOF | 94 | 0.15038 | 0.10568 | 0.12012 | 0.07382 | 0.17618 | 0.13283 | 0.72296 |
LDOF | 100 | 0.15038 | 0.10568 | 0.12264 | 0.07648 | 0.17872 | 0.13552 | 0.72550 |
ODIN | 98 | 0.14054 | 0.09533 | 0.10840 | 0.06150 | 0.19753 | 0.15531 | 0.71631 |
ODIN | 100 | 0.13910 | 0.09381 | 0.10889 | 0.06201 | 0.19938 | 0.15726 | 0.71688 |
FastABOD | 9 | 0.15038 | 0.10568 | 0.12075 | 0.07449 | 0.23881 | 0.19876 | 0.75212 |
FastABOD | 46 | 0.18045 | 0.13733 | 0.12418 | 0.07810 | 0.22706 | 0.18640 | 0.75288 |
FastABOD | 62 | 0.18045 | 0.13733 | 0.12568 | 0.07968 | 0.22390 | 0.18307 | 0.75523 |
FastABOD | 76 | 0.18045 | 0.13733 | 0.12589 | 0.07990 | 0.22152 | 0.18056 | 0.75452 |
KDEOS | 11 | 0.08271 | 0.03445 | 0.05913 | 0.00963 | 0.11206 | 0.06535 | 0.55685 |
KDEOS | 18 | 0.06767 | 0.01862 | 0.06283 | 0.01353 | 0.11375 | 0.06712 | 0.57813 |
KDEOS | 21 | 0.06015 | 0.01070 | 0.05965 | 0.01018 | 0.11751 | 0.07108 | 0.58113 |
KDEOS | 38 | 0.05263 | 0.00279 | 0.05567 | 0.00599 | 0.12306 | 0.07692 | 0.56824 |
LDF | 7 | 0.09023 | 0.04236 | 0.09489 | 0.04727 | 0.19328 | 0.15084 | 0.73099 |
LDF | 54 | 0.18045 | 0.13733 | 0.10482 | 0.05773 | 0.21176 | 0.17030 | 0.63232 |
LDF | 57 | 0.18797 | 0.14525 | 0.10762 | 0.06068 | 0.19185 | 0.14933 | 0.65768 |
LDF | 60 | 0.18045 | 0.13733 | 0.11844 | 0.07206 | 0.19572 | 0.15340 | 0.66979 |
INFLO | 78 | 0.15038 | 0.10568 | 0.13509 | 0.08959 | 0.23291 | 0.19255 | 0.76092 |
INFLO | 83 | 0.15789 | 0.11359 | 0.13514 | 0.08964 | 0.23499 | 0.19474 | 0.76030 |
INFLO | 90 | 0.17293 | 0.12942 | 0.13523 | 0.08973 | 0.22622 | 0.18551 | 0.75989 |
INFLO | 93 | 0.17293 | 0.12942 | 0.13589 | 0.09043 | 0.22660 | 0.18591 | 0.76038 |
COF | 36 | 0.06015 | 0.01070 | 0.09932 | 0.05193 | 0.20864 | 0.16701 | 0.73614 |
COF | 41 | 0.05263 | 0.00279 | 0.09847 | 0.05104 | 0.21222 | 0.17077 | 0.73113 |
COF | 95 | 0.13534 | 0.08985 | 0.12643 | 0.08047 | 0.19572 | 0.15340 | 0.70705 |
COF | 100 | 0.15038 | 0.10568 | 0.12593 | 0.07995 | 0.19737 | 0.15514 | 0.70480 |
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 | 1 | 0.18493 | 0.14225 | 0.16211 | 0.11823 | 0.23267 | 0.19249 | 0.74948 |
KNN | 2 | 0.19863 | 0.15666 | 0.15670 | 0.11254 | 0.24480 | 0.20526 | 0.76162 |
KNN | 3 | 0.19863 | 0.15666 | 0.16023 | 0.11625 | 0.24786 | 0.20848 | 0.76899 |
KNNW | 1 | 0.21918 | 0.17829 | 0.15396 | 0.10966 | 0.23066 | 0.19037 | 0.75410 |
KNNW | 3 | 0.18493 | 0.14225 | 0.16280 | 0.11896 | 0.24268 | 0.20302 | 0.75971 |
KNNW | 4 | 0.18493 | 0.14225 | 0.16174 | 0.11785 | 0.25152 | 0.21233 | 0.76476 |
KNNW | 7 | 0.19863 | 0.15666 | 0.16129 | 0.11737 | 0.24344 | 0.20382 | 0.77057 |
LOF | 9 | 0.13014 | 0.08458 | 0.09452 | 0.04711 | 0.16635 | 0.12269 | 0.72470 |
LOF | 12 | 0.10274 | 0.05575 | 0.09576 | 0.04840 | 0.17537 | 0.13218 | 0.73659 |
LOF | 15 | 0.06849 | 0.01971 | 0.09521 | 0.04783 | 0.18595 | 0.14333 | 0.73885 |
LOF | 24 | 0.00685 | -0.04516 | 0.09272 | 0.04521 | 0.20616 | 0.16459 | 0.73143 |
SimplifiedLOF | 6 | 0.08219 | 0.03413 | 0.06732 | 0.01848 | 0.13298 | 0.08758 | 0.61904 |
SimplifiedLOF | 24 | 0.01370 | -0.03795 | 0.08285 | 0.03482 | 0.16876 | 0.12523 | 0.70649 |
SimplifiedLOF | 28 | 0.00685 | -0.04516 | 0.08251 | 0.03446 | 0.17310 | 0.12979 | 0.70890 |
SimplifiedLOF | 37 | 0.02055 | -0.03074 | 0.08166 | 0.03357 | 0.18217 | 0.13935 | 0.70600 |
LoOP | 17 | 0.14384 | 0.09900 | 0.09220 | 0.04466 | 0.16207 | 0.11819 | 0.70217 |
LoOP | 21 | 0.13699 | 0.09179 | 0.09825 | 0.05102 | 0.17467 | 0.13145 | 0.71885 |
LoOP | 25 | 0.11644 | 0.07017 | 0.09741 | 0.05014 | 0.17926 | 0.13628 | 0.72233 |
LoOP | 58 | 0.06849 | 0.01971 | 0.08903 | 0.04133 | 0.18925 | 0.14680 | 0.71658 |
LDOF | 13 | 0.10959 | 0.06296 | 0.07895 | 0.03072 | 0.13901 | 0.09393 | 0.63716 |
LDOF | 79 | 0.06164 | 0.01250 | 0.08928 | 0.04159 | 0.17766 | 0.13459 | 0.71702 |
LDOF | 88 | 0.06849 | 0.01971 | 0.08757 | 0.03979 | 0.17946 | 0.13649 | 0.71271 |
ODIN | 99 | 0.16541 | 0.12171 | 0.11665 | 0.07039 | 0.20513 | 0.16350 | 0.70411 |
ODIN | 100 | 0.16634 | 0.12268 | 0.11647 | 0.07020 | 0.20183 | 0.16004 | 0.70257 |
FastABOD | 20 | 0.09589 | 0.04854 | 0.10230 | 0.05529 | 0.19301 | 0.15075 | 0.71272 |
FastABOD | 47 | 0.10274 | 0.05575 | 0.10162 | 0.05458 | 0.18900 | 0.14653 | 0.71046 |
FastABOD | 74 | 0.10274 | 0.05575 | 0.10937 | 0.06273 | 0.19310 | 0.15085 | 0.71142 |
FastABOD | 99 | 0.10274 | 0.05575 | 0.11053 | 0.06395 | 0.18996 | 0.14754 | 0.71215 |
KDEOS | 23 | 0.07534 | 0.02692 | 0.06973 | 0.02102 | 0.13714 | 0.09196 | 0.63137 |
KDEOS | 25 | 0.10274 | 0.05575 | 0.06836 | 0.01958 | 0.12726 | 0.08156 | 0.62528 |
LDF | 7 | 0.13699 | 0.09179 | 0.11459 | 0.06822 | 0.20739 | 0.16588 | 0.76855 |
INFLO | 9 | 0.10959 | 0.06296 | 0.08655 | 0.03872 | 0.15632 | 0.11214 | 0.68559 |
INFLO | 18 | 0.06849 | 0.01971 | 0.09211 | 0.04457 | 0.17828 | 0.13525 | 0.72268 |
INFLO | 21 | 0.04795 | -0.00191 | 0.09154 | 0.04396 | 0.17942 | 0.13645 | 0.72765 |
INFLO | 49 | 0.03425 | -0.01633 | 0.08231 | 0.03426 | 0.18837 | 0.14587 | 0.70946 |
COF | 23 | 0.07534 | 0.02692 | 0.10160 | 0.05456 | 0.21823 | 0.17729 | 0.74842 |
COF | 29 | 0.10274 | 0.05575 | 0.10142 | 0.05437 | 0.20262 | 0.16087 | 0.75073 |
COF | 31 | 0.08904 | 0.04134 | 0.10053 | 0.05342 | 0.20610 | 0.16452 | 0.75201 |
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 (67.4 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 | 0.22932 | 0.18878 | 0.20645 | 0.16470 | 0.27072 | 0.23235 | 0.75973 |
KNN | 3 | 0.23308 | 0.19273 | 0.20313 | 0.16120 | 0.26866 | 0.23018 | 0.75662 |
KNN | 6 | 0.22556 | 0.18482 | 0.19080 | 0.14822 | 0.27326 | 0.23502 | 0.75954 |
KNN | 86 | 0.20301 | 0.16108 | 0.14770 | 0.10286 | 0.23649 | 0.19632 | 0.76355 |
KNNW | 2 | 0.23308 | 0.19273 | 0.20721 | 0.16550 | 0.26367 | 0.22493 | 0.75802 |
KNNW | 12 | 0.22556 | 0.18482 | 0.19258 | 0.15010 | 0.27246 | 0.23419 | 0.75895 |
KNNW | 100 | 0.19549 | 0.15316 | 0.15255 | 0.10797 | 0.24332 | 0.20351 | 0.76275 |
LOF | 10 | 0.13534 | 0.08985 | 0.08859 | 0.04064 | 0.16519 | 0.12127 | 0.57912 |
LOF | 11 | 0.15789 | 0.11359 | 0.08945 | 0.04155 | 0.16447 | 0.12052 | 0.58065 |
LOF | 100 | 0.11278 | 0.06610 | 0.09687 | 0.04935 | 0.16013 | 0.11594 | 0.65480 |
SimplifiedLOF | 16 | 0.16541 | 0.12151 | 0.09808 | 0.05063 | 0.17187 | 0.12831 | 0.60839 |
SimplifiedLOF | 21 | 0.16541 | 0.12151 | 0.10063 | 0.05331 | 0.17886 | 0.13566 | 0.61397 |
SimplifiedLOF | 87 | 0.15038 | 0.10568 | 0.10353 | 0.05636 | 0.16522 | 0.12130 | 0.62069 |
SimplifiedLOF | 100 | 0.15038 | 0.10568 | 0.10294 | 0.05574 | 0.16379 | 0.11980 | 0.62865 |
LoOP | 18 | 0.12030 | 0.07402 | 0.07991 | 0.03150 | 0.16431 | 0.12034 | 0.59735 |
LoOP | 20 | 0.14286 | 0.09776 | 0.08195 | 0.03366 | 0.16054 | 0.11637 | 0.60684 |
LoOP | 22 | 0.15789 | 0.11359 | 0.08331 | 0.03508 | 0.16031 | 0.11613 | 0.60347 |
LoOP | 28 | 0.14286 | 0.09776 | 0.08380 | 0.03559 | 0.15238 | 0.10779 | 0.59705 |
LDOF | 15 | 0.06767 | 0.01862 | 0.07012 | 0.02120 | 0.12112 | 0.07488 | 0.56290 |
LDOF | 32 | 0.10526 | 0.05819 | 0.07391 | 0.02519 | 0.16024 | 0.11606 | 0.54106 |
LDOF | 49 | 0.12030 | 0.07402 | 0.07519 | 0.02653 | 0.14013 | 0.09489 | 0.52860 |
LDOF | 56 | 0.13534 | 0.08985 | 0.07428 | 0.02558 | 0.13688 | 0.09147 | 0.51965 |
ODIN | 11 | 0.05519 | 0.00549 | 0.06084 | 0.01143 | 0.12253 | 0.07637 | 0.59397 |
ODIN | 15 | 0.04916 | -0.00086 | 0.06188 | 0.01252 | 0.12167 | 0.07546 | 0.60278 |
ODIN | 69 | 0.08271 | 0.03445 | 0.05932 | 0.00983 | 0.11254 | 0.06585 | 0.56646 |
FastABOD | 3 | 0.22556 | 0.18482 | 0.19176 | 0.14924 | 0.24762 | 0.20804 | 0.78477 |
FastABOD | 5 | 0.22556 | 0.18482 | 0.18835 | 0.14565 | 0.24828 | 0.20873 | 0.78825 |
FastABOD | 7 | 0.24060 | 0.20065 | 0.18751 | 0.14476 | 0.24880 | 0.20928 | 0.78557 |
FastABOD | 9 | 0.24060 | 0.20065 | 0.18793 | 0.14520 | 0.25058 | 0.21115 | 0.78498 |
KDEOS | 5 | 0.09774 | 0.05028 | 0.08003 | 0.03163 | 0.10769 | 0.06075 | 0.53535 |
KDEOS | 67 | 0.09023 | 0.04236 | 0.07563 | 0.02699 | 0.14169 | 0.09653 | 0.60008 |
KDEOS | 78 | 0.11278 | 0.06610 | 0.07650 | 0.02791 | 0.13306 | 0.08745 | 0.60173 |
LDF | 39 | 0.19549 | 0.15316 | 0.12096 | 0.07472 | 0.20576 | 0.16398 | 0.65343 |
LDF | 70 | 0.15789 | 0.11359 | 0.13399 | 0.08842 | 0.21525 | 0.17396 | 0.70750 |
LDF | 81 | 0.15789 | 0.11359 | 0.14093 | 0.09574 | 0.20643 | 0.16468 | 0.73034 |
LDF | 100 | 0.17293 | 0.12942 | 0.13186 | 0.08619 | 0.20712 | 0.16541 | 0.73818 |
INFLO | 19 | 0.11278 | 0.06610 | 0.09278 | 0.04505 | 0.15861 | 0.11434 | 0.65135 |
INFLO | 85 | 0.14286 | 0.09776 | 0.09135 | 0.04355 | 0.17038 | 0.12674 | 0.62531 |
COF | 22 | 0.19549 | 0.15316 | 0.11544 | 0.06890 | 0.21186 | 0.17040 | 0.59385 |
COF | 23 | 0.19549 | 0.15316 | 0.11915 | 0.07281 | 0.22128 | 0.18031 | 0.59470 |
COF | 100 | 0.17293 | 0.12942 | 0.14520 | 0.10023 | 0.20465 | 0.16281 | 0.65444 |
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 | 1 | 0.22603 | 0.18550 | 0.20210 | 0.16031 | 0.24206 | 0.20237 | 0.77045 |
KNN | 2 | 0.22603 | 0.18550 | 0.20388 | 0.16219 | 0.23776 | 0.19785 | 0.76554 |
KNN | 3 | 0.21918 | 0.17829 | 0.20378 | 0.16208 | 0.23913 | 0.19929 | 0.77365 |
KNN | 4 | 0.20548 | 0.16387 | 0.19954 | 0.15763 | 0.24798 | 0.20860 | 0.77210 |
KNNW | 1 | 0.22603 | 0.18550 | 0.20374 | 0.16204 | 0.25854 | 0.21971 | 0.76169 |
KNNW | 2 | 0.23288 | 0.19270 | 0.20553 | 0.16393 | 0.24431 | 0.20473 | 0.77147 |
KNNW | 4 | 0.21918 | 0.17829 | 0.20998 | 0.16861 | 0.24831 | 0.20894 | 0.77347 |
KNNW | 8 | 0.22603 | 0.18550 | 0.20402 | 0.16233 | 0.24022 | 0.20044 | 0.77466 |
LOF | 6 | 0.13699 | 0.09179 | 0.07702 | 0.02868 | 0.14857 | 0.10398 | 0.58649 |
LOF | 100 | 0.09589 | 0.04854 | 0.10333 | 0.05638 | 0.14219 | 0.09727 | 0.64549 |
SimplifiedLOF | 6 | 0.13014 | 0.08458 | 0.07770 | 0.02940 | 0.15335 | 0.10902 | 0.61248 |
SimplifiedLOF | 7 | 0.13014 | 0.08458 | 0.07968 | 0.03148 | 0.16071 | 0.11676 | 0.61160 |
SimplifiedLOF | 15 | 0.08904 | 0.04134 | 0.06877 | 0.02000 | 0.12981 | 0.08424 | 0.61337 |
SimplifiedLOF | 100 | 0.11644 | 0.07017 | 0.08543 | 0.03753 | 0.12628 | 0.08053 | 0.60426 |
LoOP | 7 | 0.12329 | 0.07738 | 0.08512 | 0.03721 | 0.14241 | 0.09751 | 0.60602 |
LoOP | 8 | 0.12329 | 0.07738 | 0.08633 | 0.03848 | 0.13750 | 0.09233 | 0.60477 |
LoOP | 11 | 0.13699 | 0.09179 | 0.07591 | 0.02752 | 0.14887 | 0.10430 | 0.59841 |
LDOF | 2 | 0.09589 | 0.04854 | 0.07621 | 0.02784 | 0.12674 | 0.08101 | 0.50868 |
LDOF | 4 | 0.10274 | 0.05575 | 0.07617 | 0.02779 | 0.12157 | 0.07557 | 0.54718 |
LDOF | 13 | 0.12329 | 0.07738 | 0.06425 | 0.01525 | 0.12378 | 0.07789 | 0.52919 |
LDOF | 15 | 0.11644 | 0.07017 | 0.06141 | 0.01226 | 0.12745 | 0.08176 | 0.51482 |
ODIN | 12 | 0.05720 | 0.00782 | 0.06256 | 0.01347 | 0.12500 | 0.07918 | 0.61346 |
ODIN | 13 | 0.06472 | 0.01574 | 0.06300 | 0.01393 | 0.12245 | 0.07649 | 0.61104 |
ODIN | 48 | 0.08291 | 0.03489 | 0.05810 | 0.00878 | 0.11550 | 0.06918 | 0.56387 |
FastABOD | 70 | 0.20548 | 0.16387 | 0.18739 | 0.14484 | 0.23025 | 0.18994 | 0.77115 |
FastABOD | 76 | 0.20548 | 0.16387 | 0.18803 | 0.14551 | 0.23129 | 0.19104 | 0.77125 |
FastABOD | 100 | 0.20548 | 0.16387 | 0.18852 | 0.14602 | 0.22989 | 0.18956 | 0.77171 |
KDEOS | 5 | 0.07534 | 0.02692 | 0.06351 | 0.01447 | 0.11665 | 0.07039 | 0.58351 |
KDEOS | 18 | 0.04795 | -0.00191 | 0.06720 | 0.01835 | 0.13804 | 0.09291 | 0.62012 |
LDF | 74 | 0.18493 | 0.14225 | 0.13023 | 0.08468 | 0.19403 | 0.15182 | 0.66395 |
LDF | 79 | 0.18493 | 0.14225 | 0.13134 | 0.08585 | 0.21138 | 0.17008 | 0.67687 |
LDF | 98 | 0.18493 | 0.14225 | 0.13622 | 0.09099 | 0.20077 | 0.15892 | 0.70908 |
LDF | 100 | 0.18493 | 0.14225 | 0.13207 | 0.08662 | 0.20155 | 0.15974 | 0.71239 |
INFLO | 5 | 0.10274 | 0.05575 | 0.07105 | 0.02241 | 0.13228 | 0.08684 | 0.58249 |
INFLO | 75 | 0.08219 | 0.03413 | 0.08450 | 0.03656 | 0.16224 | 0.11836 | 0.61561 |
INFLO | 93 | 0.08904 | 0.04134 | 0.09350 | 0.04603 | 0.16224 | 0.11837 | 0.60688 |
INFLO | 94 | 0.08904 | 0.04134 | 0.09365 | 0.04618 | 0.16185 | 0.11796 | 0.60732 |
COF | 9 | 0.12329 | 0.07738 | 0.08323 | 0.03522 | 0.15493 | 0.11068 | 0.62900 |
COF | 13 | 0.13699 | 0.09179 | 0.08375 | 0.03577 | 0.14679 | 0.10211 | 0.64089 |
COF | 14 | 0.14384 | 0.09900 | 0.08525 | 0.03735 | 0.15484 | 0.11058 | 0.64053 |
COF | 100 | 0.13014 | 0.08458 | 0.09711 | 0.04983 | 0.13978 | 0.09474 | 0.63505 |