Cardiotocography (5% of outliers version#04)
Data set related to heart diseases. It describes 3 classes: normal, suspect, or pathological. Normal patients are treated as inliers and the remaining as outliers.
Download all data set variants used (8.8 MB). You can also access the original data. (CTG.xls)
- Normalized, without duplicates
- Normalized, duplicates
- Not normalized, without duplicates
- Not normalized, duplicates
Normalized, without duplicates
This version contains 21 attributes, 1734 objects, 86 outliers (4.96%)
Download raw algorithm results (15.0 MB) Download raw algorithm evaluation table (65.9 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 | 97 | 0.38372 | 0.35156 | 0.30926 | 0.27321 | 0.38372 | 0.35156 | 0.77797 |
KNN | 99 | 0.38372 | 0.35156 | 0.30946 | 0.27342 | 0.38372 | 0.35156 | 0.77855 |
KNN | 100 | 0.38372 | 0.35156 | 0.30942 | 0.27338 | 0.38372 | 0.35156 | 0.77902 |
KNNW | 98 | 0.34884 | 0.31486 | 0.29229 | 0.25536 | 0.35088 | 0.31700 | 0.76595 |
KNNW | 99 | 0.34884 | 0.31486 | 0.29248 | 0.25555 | 0.35294 | 0.31917 | 0.76613 |
KNNW | 100 | 0.34884 | 0.31486 | 0.29266 | 0.25575 | 0.35294 | 0.31917 | 0.76634 |
LOF | 7 | 0.27907 | 0.24145 | 0.20626 | 0.16484 | 0.31313 | 0.27729 | 0.73049 |
LOF | 8 | 0.27907 | 0.24145 | 0.20337 | 0.16180 | 0.32512 | 0.28991 | 0.74251 |
LOF | 100 | 0.25581 | 0.21698 | 0.23362 | 0.19363 | 0.27692 | 0.23919 | 0.81480 |
SimplifiedLOF | 11 | 0.31395 | 0.27815 | 0.23766 | 0.19788 | 0.32335 | 0.28804 | 0.74915 |
SimplifiedLOF | 12 | 0.32558 | 0.29039 | 0.23677 | 0.19694 | 0.32768 | 0.29260 | 0.74708 |
SimplifiedLOF | 13 | 0.30233 | 0.26592 | 0.23117 | 0.19105 | 0.33520 | 0.30050 | 0.74761 |
SimplifiedLOF | 100 | 0.24419 | 0.20474 | 0.22094 | 0.18029 | 0.27170 | 0.23369 | 0.79765 |
LoOP | 14 | 0.32558 | 0.29039 | 0.20610 | 0.16467 | 0.32941 | 0.29442 | 0.74259 |
LoOP | 99 | 0.25581 | 0.21698 | 0.21108 | 0.16991 | 0.27706 | 0.23933 | 0.78945 |
LoOP | 100 | 0.25581 | 0.21698 | 0.21222 | 0.17111 | 0.27556 | 0.23775 | 0.78928 |
LDOF | 18 | 0.26744 | 0.22921 | 0.21443 | 0.17343 | 0.31169 | 0.27577 | 0.72665 |
LDOF | 20 | 0.29070 | 0.25368 | 0.21251 | 0.17141 | 0.30168 | 0.26523 | 0.72377 |
LDOF | 99 | 0.22093 | 0.18027 | 0.19222 | 0.15006 | 0.25843 | 0.21973 | 0.77545 |
ODIN | 50 | 0.26434 | 0.22595 | 0.16232 | 0.11860 | 0.26590 | 0.22759 | 0.75747 |
ODIN | 55 | 0.25581 | 0.21698 | 0.16544 | 0.12189 | 0.26994 | 0.23184 | 0.76094 |
ODIN | 100 | 0.23256 | 0.19251 | 0.17766 | 0.13475 | 0.24510 | 0.20570 | 0.78319 |
FastABOD | 7 | 0.30233 | 0.26592 | 0.17100 | 0.12774 | 0.30682 | 0.27064 | 0.75032 |
FastABOD | 9 | 0.29070 | 0.25368 | 0.18030 | 0.13753 | 0.31285 | 0.27699 | 0.75261 |
FastABOD | 99 | 0.24419 | 0.20474 | 0.18911 | 0.14679 | 0.25926 | 0.22060 | 0.76107 |
FastABOD | 100 | 0.24419 | 0.20474 | 0.18892 | 0.14660 | 0.25868 | 0.21999 | 0.76133 |
KDEOS | 14 | 0.15116 | 0.10687 | 0.13613 | 0.09105 | 0.20069 | 0.15898 | 0.67561 |
KDEOS | 18 | 0.19767 | 0.15581 | 0.12343 | 0.07769 | 0.21858 | 0.17780 | 0.68866 |
KDEOS | 100 | 0.13953 | 0.09463 | 0.12531 | 0.07966 | 0.19573 | 0.15376 | 0.73856 |
LDF | 90 | 0.37209 | 0.33933 | 0.28954 | 0.25247 | 0.39130 | 0.35954 | 0.79730 |
LDF | 99 | 0.37209 | 0.33933 | 0.30549 | 0.26924 | 0.42336 | 0.39327 | 0.79817 |
LDF | 100 | 0.37209 | 0.33933 | 0.31393 | 0.27813 | 0.42029 | 0.39004 | 0.79910 |
INFLO | 10 | 0.27907 | 0.24145 | 0.18516 | 0.14264 | 0.28743 | 0.25024 | 0.73977 |
INFLO | 56 | 0.22093 | 0.18027 | 0.19786 | 0.15601 | 0.29104 | 0.25405 | 0.77734 |
INFLO | 100 | 0.26744 | 0.22921 | 0.22263 | 0.18207 | 0.28395 | 0.24658 | 0.80695 |
COF | 16 | 0.31395 | 0.27815 | 0.24537 | 0.20599 | 0.32298 | 0.28765 | 0.72421 |
COF | 32 | 0.30233 | 0.26592 | 0.30616 | 0.26995 | 0.36090 | 0.32755 | 0.73243 |
COF | 34 | 0.30233 | 0.26592 | 0.30166 | 0.26522 | 0.38400 | 0.35185 | 0.73518 |
COF | 62 | 0.25581 | 0.21698 | 0.26595 | 0.22765 | 0.27907 | 0.24145 | 0.76446 |
Plots
Normalized, duplicates
This version contains 21 attributes, 1742 objects, 87 outliers (4.99%)
Download raw algorithm results (15.1 MB) Download raw algorithm evaluation table (66.6 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 | 0.28736 | 0.24989 | 0.25033 | 0.21093 | 0.32258 | 0.28697 | 0.70136 |
KNN | 99 | 0.31034 | 0.27409 | 0.26459 | 0.22594 | 0.31034 | 0.27409 | 0.75707 |
KNNW | 2 | 0.31034 | 0.27409 | 0.23405 | 0.19378 | 0.31138 | 0.27518 | 0.70036 |
KNNW | 3 | 0.29885 | 0.26199 | 0.24948 | 0.21003 | 0.32402 | 0.28849 | 0.70298 |
KNNW | 5 | 0.28736 | 0.24989 | 0.25343 | 0.21419 | 0.31373 | 0.27765 | 0.70319 |
KNNW | 100 | 0.27586 | 0.23780 | 0.24893 | 0.20945 | 0.28571 | 0.24817 | 0.74015 |
LOF | 5 | 0.31034 | 0.27409 | 0.20272 | 0.16081 | 0.32624 | 0.29082 | 0.72684 |
LOF | 6 | 0.28736 | 0.24989 | 0.21707 | 0.17592 | 0.30137 | 0.26464 | 0.73392 |
LOF | 100 | 0.22989 | 0.18940 | 0.19148 | 0.14898 | 0.24645 | 0.20683 | 0.79240 |
SimplifiedLOF | 11 | 0.32184 | 0.28619 | 0.23061 | 0.19017 | 0.33488 | 0.29992 | 0.73629 |
SimplifiedLOF | 14 | 0.31034 | 0.27409 | 0.21794 | 0.17683 | 0.34000 | 0.30531 | 0.74031 |
SimplifiedLOF | 100 | 0.21839 | 0.17730 | 0.18182 | 0.13881 | 0.24272 | 0.20291 | 0.76875 |
LoOP | 11 | 0.28736 | 0.24989 | 0.20935 | 0.16779 | 0.31963 | 0.28387 | 0.74358 |
LoOP | 12 | 0.31034 | 0.27409 | 0.19609 | 0.15384 | 0.32456 | 0.28905 | 0.74197 |
LoOP | 14 | 0.28736 | 0.24989 | 0.18485 | 0.14200 | 0.32821 | 0.29289 | 0.73910 |
LoOP | 100 | 0.20690 | 0.16520 | 0.17340 | 0.12995 | 0.24786 | 0.20832 | 0.75949 |
LDOF | 15 | 0.31034 | 0.27409 | 0.19786 | 0.15569 | 0.32584 | 0.29040 | 0.72990 |
LDOF | 17 | 0.29885 | 0.26199 | 0.19869 | 0.15656 | 0.30872 | 0.27239 | 0.73492 |
LDOF | 100 | 0.19540 | 0.15311 | 0.16406 | 0.12011 | 0.25676 | 0.21769 | 0.73888 |
ODIN | 20 | 0.16858 | 0.12488 | 0.13649 | 0.09110 | 0.22837 | 0.18781 | 0.70747 |
ODIN | 35 | 0.19869 | 0.15656 | 0.13905 | 0.09379 | 0.21865 | 0.17758 | 0.72132 |
ODIN | 100 | 0.18495 | 0.14211 | 0.15109 | 0.10647 | 0.21995 | 0.17894 | 0.75921 |
FastABOD | 7 | 0.29885 | 0.26199 | 0.19028 | 0.14772 | 0.30588 | 0.26939 | 0.71933 |
FastABOD | 8 | 0.28736 | 0.24989 | 0.19720 | 0.15500 | 0.30120 | 0.26447 | 0.71676 |
FastABOD | 14 | 0.29885 | 0.26199 | 0.19513 | 0.15282 | 0.31638 | 0.28045 | 0.71082 |
FastABOD | 15 | 0.31034 | 0.27409 | 0.19401 | 0.15164 | 0.31638 | 0.28045 | 0.71036 |
KDEOS | 21 | 0.11494 | 0.06842 | 0.11934 | 0.07305 | 0.17949 | 0.13635 | 0.67899 |
KDEOS | 53 | 0.16092 | 0.11681 | 0.10925 | 0.06242 | 0.18750 | 0.14479 | 0.68865 |
KDEOS | 73 | 0.13793 | 0.09261 | 0.10162 | 0.05439 | 0.20588 | 0.16414 | 0.70298 |
KDEOS | 100 | 0.10345 | 0.05632 | 0.09837 | 0.05097 | 0.18852 | 0.14587 | 0.71665 |
LDF | 94 | 0.35632 | 0.32248 | 0.26349 | 0.22477 | 0.35632 | 0.32248 | 0.78164 |
LDF | 97 | 0.35632 | 0.32248 | 0.26931 | 0.23090 | 0.35838 | 0.32465 | 0.78410 |
LDF | 100 | 0.34483 | 0.31039 | 0.27271 | 0.23448 | 0.34884 | 0.31461 | 0.78364 |
INFLO | 7 | 0.27586 | 0.23780 | 0.19395 | 0.15157 | 0.27933 | 0.24145 | 0.72688 |
INFLO | 8 | 0.26437 | 0.22570 | 0.19377 | 0.15139 | 0.29834 | 0.26146 | 0.72864 |
INFLO | 99 | 0.19540 | 0.15311 | 0.18435 | 0.14148 | 0.27007 | 0.23170 | 0.78880 |
COF | 13 | 0.31034 | 0.27409 | 0.25413 | 0.21492 | 0.34483 | 0.31039 | 0.70632 |
COF | 14 | 0.29885 | 0.26199 | 0.27634 | 0.23830 | 0.35659 | 0.32277 | 0.70416 |
COF | 78 | 0.21839 | 0.17730 | 0.20761 | 0.16595 | 0.23404 | 0.19378 | 0.75103 |
Plots
Not normalized, without duplicates
This version contains 21 attributes, 1734 objects, 86 outliers (4.96%)
Download raw algorithm results (15.0 MB) Download raw algorithm evaluation table (65.7 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 | 2 | 0.22093 | 0.18027 | 0.17819 | 0.13531 | 0.28829 | 0.25115 | 0.76097 |
KNN | 4 | 0.19767 | 0.15581 | 0.18026 | 0.13748 | 0.26761 | 0.22939 | 0.77163 |
KNN | 46 | 0.17442 | 0.13134 | 0.15912 | 0.11524 | 0.30252 | 0.26612 | 0.78428 |
KNN | 100 | 0.18605 | 0.14357 | 0.16265 | 0.11896 | 0.28926 | 0.25217 | 0.79273 |
KNNW | 6 | 0.19767 | 0.15581 | 0.19379 | 0.15172 | 0.28340 | 0.24601 | 0.78215 |
KNNW | 19 | 0.22093 | 0.18027 | 0.17005 | 0.12674 | 0.25660 | 0.21781 | 0.77852 |
KNNW | 90 | 0.18605 | 0.14357 | 0.15934 | 0.11547 | 0.29752 | 0.26086 | 0.78595 |
KNNW | 100 | 0.18605 | 0.14357 | 0.15985 | 0.11601 | 0.29630 | 0.25957 | 0.78693 |
LOF | 7 | 0.32558 | 0.29039 | 0.24624 | 0.20691 | 0.35065 | 0.31676 | 0.73609 |
LOF | 8 | 0.31395 | 0.27815 | 0.26621 | 0.22792 | 0.33333 | 0.29854 | 0.73445 |
LOF | 100 | 0.18605 | 0.14357 | 0.17250 | 0.12932 | 0.28412 | 0.24676 | 0.82637 |
SimplifiedLOF | 13 | 0.27907 | 0.24145 | 0.24405 | 0.20460 | 0.34109 | 0.30670 | 0.72745 |
SimplifiedLOF | 16 | 0.30233 | 0.26592 | 0.24730 | 0.20802 | 0.31847 | 0.28291 | 0.73993 |
SimplifiedLOF | 19 | 0.27907 | 0.24145 | 0.24754 | 0.20827 | 0.29752 | 0.26086 | 0.74657 |
SimplifiedLOF | 100 | 0.17442 | 0.13134 | 0.16472 | 0.12113 | 0.27742 | 0.23971 | 0.79085 |
LoOP | 10 | 0.27907 | 0.24145 | 0.21418 | 0.17317 | 0.29197 | 0.25502 | 0.70302 |
LoOP | 18 | 0.26744 | 0.22921 | 0.22835 | 0.18809 | 0.29630 | 0.25957 | 0.72849 |
LoOP | 100 | 0.18605 | 0.14357 | 0.17616 | 0.13317 | 0.27397 | 0.23609 | 0.77894 |
LDOF | 18 | 0.27907 | 0.24145 | 0.20877 | 0.16748 | 0.30435 | 0.26805 | 0.68244 |
LDOF | 21 | 0.26744 | 0.22921 | 0.21052 | 0.16932 | 0.30345 | 0.26710 | 0.68651 |
LDOF | 100 | 0.19767 | 0.15581 | 0.18891 | 0.14659 | 0.28571 | 0.24844 | 0.77856 |
ODIN | 48 | 0.25814 | 0.21943 | 0.22055 | 0.17988 | 0.26286 | 0.22439 | 0.76230 |
ODIN | 95 | 0.19186 | 0.14969 | 0.25419 | 0.21527 | 0.30222 | 0.26581 | 0.79276 |
ODIN | 98 | 0.19767 | 0.15581 | 0.25553 | 0.21668 | 0.29412 | 0.25728 | 0.79510 |
ODIN | 100 | 0.19767 | 0.15581 | 0.25455 | 0.21565 | 0.29596 | 0.25922 | 0.79531 |
FastABOD | 4 | 0.24419 | 0.20474 | 0.19118 | 0.14897 | 0.25185 | 0.21281 | 0.75774 |
FastABOD | 14 | 0.19767 | 0.15581 | 0.17610 | 0.13310 | 0.26357 | 0.22514 | 0.77819 |
FastABOD | 100 | 0.17442 | 0.13134 | 0.16559 | 0.12204 | 0.24691 | 0.20761 | 0.78516 |
KDEOS | 89 | 0.18605 | 0.14357 | 0.16641 | 0.12291 | 0.24096 | 0.20135 | 0.75700 |
KDEOS | 95 | 0.20930 | 0.16804 | 0.16396 | 0.12033 | 0.24268 | 0.20316 | 0.76355 |
KDEOS | 100 | 0.19767 | 0.15581 | 0.16298 | 0.11930 | 0.25000 | 0.21086 | 0.76797 |
LDF | 5 | 0.29070 | 0.25368 | 0.21140 | 0.17025 | 0.29885 | 0.26226 | 0.69527 |
LDF | 6 | 0.26744 | 0.22921 | 0.22646 | 0.18609 | 0.27059 | 0.23252 | 0.73451 |
LDF | 100 | 0.22093 | 0.18027 | 0.18681 | 0.14437 | 0.29553 | 0.25877 | 0.84349 |
INFLO | 8 | 0.27907 | 0.24145 | 0.22777 | 0.18747 | 0.29592 | 0.25918 | 0.68415 |
INFLO | 9 | 0.29070 | 0.25368 | 0.22309 | 0.18254 | 0.30303 | 0.26666 | 0.71124 |
INFLO | 82 | 0.23256 | 0.19251 | 0.16931 | 0.12596 | 0.26957 | 0.23145 | 0.77826 |
COF | 13 | 0.23256 | 0.19251 | 0.18588 | 0.14339 | 0.29016 | 0.25311 | 0.74097 |
COF | 15 | 0.26744 | 0.22921 | 0.19239 | 0.15024 | 0.27381 | 0.23591 | 0.74625 |
COF | 38 | 0.24419 | 0.20474 | 0.23076 | 0.19062 | 0.25907 | 0.22040 | 0.76792 |
COF | 80 | 0.18605 | 0.14357 | 0.14721 | 0.10270 | 0.25316 | 0.21419 | 0.77136 |
Plots
Not normalized, duplicates
This version contains 21 attributes, 1742 objects, 87 outliers (4.99%)
Download raw algorithm results (15.0 MB) Download raw algorithm evaluation table (66.2 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 | 0.24138 | 0.20150 | 0.17246 | 0.12895 | 0.26882 | 0.23038 | 0.74471 |
KNN | 95 | 0.19540 | 0.15311 | 0.14078 | 0.09561 | 0.27230 | 0.23405 | 0.75504 |
KNN | 100 | 0.19540 | 0.15311 | 0.14116 | 0.09601 | 0.26977 | 0.23138 | 0.75597 |
KNNW | 1 | 0.24138 | 0.20150 | 0.19586 | 0.15359 | 0.26250 | 0.22373 | 0.72916 |
KNNW | 2 | 0.25287 | 0.21360 | 0.19049 | 0.14793 | 0.26994 | 0.23156 | 0.74575 |
KNNW | 4 | 0.24138 | 0.20150 | 0.17891 | 0.13575 | 0.28141 | 0.24363 | 0.74856 |
KNNW | 100 | 0.18391 | 0.14101 | 0.13858 | 0.09330 | 0.24595 | 0.20632 | 0.74974 |
LOF | 8 | 0.25287 | 0.21360 | 0.19369 | 0.15130 | 0.28966 | 0.25231 | 0.71596 |
LOF | 9 | 0.26437 | 0.22570 | 0.19498 | 0.15266 | 0.28025 | 0.24242 | 0.71895 |
LOF | 12 | 0.24138 | 0.20150 | 0.20026 | 0.15822 | 0.25000 | 0.21057 | 0.73735 |
LOF | 99 | 0.19540 | 0.15311 | 0.14917 | 0.10444 | 0.24800 | 0.20847 | 0.79371 |
SimplifiedLOF | 11 | 0.28736 | 0.24989 | 0.19694 | 0.15472 | 0.30303 | 0.26639 | 0.71014 |
SimplifiedLOF | 12 | 0.28736 | 0.24989 | 0.20583 | 0.16408 | 0.30380 | 0.26720 | 0.71569 |
SimplifiedLOF | 13 | 0.26437 | 0.22570 | 0.21223 | 0.17082 | 0.28750 | 0.25005 | 0.71921 |
SimplifiedLOF | 100 | 0.18391 | 0.14101 | 0.14214 | 0.09704 | 0.24742 | 0.20786 | 0.74919 |
LoOP | 12 | 0.26437 | 0.22570 | 0.18897 | 0.14633 | 0.27807 | 0.24012 | 0.70726 |
LoOP | 13 | 0.25287 | 0.21360 | 0.19658 | 0.15435 | 0.26667 | 0.22812 | 0.71011 |
LoOP | 99 | 0.19540 | 0.15311 | 0.15135 | 0.10674 | 0.25342 | 0.21418 | 0.73155 |
LDOF | 19 | 0.24138 | 0.20150 | 0.17092 | 0.12733 | 0.26131 | 0.22247 | 0.64698 |
LDOF | 66 | 0.22989 | 0.18940 | 0.17125 | 0.12768 | 0.25735 | 0.21831 | 0.72867 |
LDOF | 97 | 0.19540 | 0.15311 | 0.16452 | 0.12060 | 0.25532 | 0.21617 | 0.73615 |
ODIN | 6 | 0.22156 | 0.18063 | 0.12203 | 0.07588 | 0.23204 | 0.19167 | 0.69958 |
ODIN | 69 | 0.17241 | 0.12891 | 0.21467 | 0.17339 | 0.26543 | 0.22682 | 0.73083 |
ODIN | 89 | 0.18391 | 0.14101 | 0.22118 | 0.18024 | 0.26059 | 0.22172 | 0.74398 |
ODIN | 100 | 0.19540 | 0.15311 | 0.22035 | 0.17936 | 0.25574 | 0.21661 | 0.74960 |
FastABOD | 3 | 0.19540 | 0.15311 | 0.13686 | 0.09148 | 0.23208 | 0.19171 | 0.74099 |
FastABOD | 4 | 0.24138 | 0.20150 | 0.16312 | 0.11912 | 0.26316 | 0.22442 | 0.73548 |
FastABOD | 5 | 0.21839 | 0.17730 | 0.17765 | 0.13442 | 0.25217 | 0.21286 | 0.73688 |
KDEOS | 90 | 0.19540 | 0.15311 | 0.13268 | 0.08709 | 0.21359 | 0.17225 | 0.74211 |
KDEOS | 95 | 0.19540 | 0.15311 | 0.13577 | 0.09034 | 0.22689 | 0.18625 | 0.74513 |
KDEOS | 96 | 0.19540 | 0.15311 | 0.13587 | 0.09044 | 0.22140 | 0.18047 | 0.74611 |
KDEOS | 99 | 0.17241 | 0.12891 | 0.13486 | 0.08938 | 0.22222 | 0.18134 | 0.74720 |
LDF | 8 | 0.25287 | 0.21360 | 0.24318 | 0.20340 | 0.31472 | 0.27870 | 0.77488 |
LDF | 100 | 0.21839 | 0.17730 | 0.16121 | 0.11712 | 0.25703 | 0.21797 | 0.81945 |
INFLO | 9 | 0.26437 | 0.22570 | 0.19665 | 0.15442 | 0.26590 | 0.22731 | 0.68405 |
INFLO | 10 | 0.25287 | 0.21360 | 0.19551 | 0.15322 | 0.27815 | 0.24020 | 0.70126 |
INFLO | 11 | 0.24138 | 0.20150 | 0.19864 | 0.15651 | 0.25862 | 0.21965 | 0.71181 |
INFLO | 63 | 0.20690 | 0.16520 | 0.15320 | 0.10869 | 0.25430 | 0.21510 | 0.73804 |
COF | 13 | 0.22989 | 0.18940 | 0.17037 | 0.12676 | 0.28704 | 0.24956 | 0.72992 |
COF | 14 | 0.26437 | 0.22570 | 0.17870 | 0.13552 | 0.27059 | 0.23224 | 0.73843 |
COF | 16 | 0.22989 | 0.18940 | 0.17975 | 0.13663 | 0.27556 | 0.23747 | 0.75179 |
COF | 28 | 0.20690 | 0.16520 | 0.21628 | 0.17508 | 0.24561 | 0.20596 | 0.73149 |