Cardiotocography (20% 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, 2060 objects, 412 outliers (20.00%)
Download raw algorithm results (17.8 MB) Download raw algorithm evaluation table (71.4 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 | 96 | 0.41262 | 0.26578 | 0.41751 | 0.27189 | 0.42371 | 0.27964 | 0.67472 |
KNN | 100 | 0.41019 | 0.26274 | 0.41996 | 0.27494 | 0.42675 | 0.28344 | 0.67714 |
KNNW | 62 | 0.39563 | 0.24454 | 0.35937 | 0.19921 | 0.40617 | 0.25771 | 0.60087 |
KNNW | 99 | 0.40291 | 0.25364 | 0.37652 | 0.22065 | 0.40568 | 0.25711 | 0.62639 |
KNNW | 100 | 0.40291 | 0.25364 | 0.37689 | 0.22111 | 0.40568 | 0.25711 | 0.62697 |
LOF | 100 | 0.33738 | 0.17172 | 0.29666 | 0.12083 | 0.40100 | 0.25125 | 0.66148 |
SimplifiedLOF | 16 | 0.33495 | 0.16869 | 0.28312 | 0.10390 | 0.34127 | 0.17659 | 0.57814 |
SimplifiedLOF | 21 | 0.33252 | 0.16566 | 0.28577 | 0.10722 | 0.34358 | 0.17948 | 0.58472 |
SimplifiedLOF | 81 | 0.32039 | 0.15049 | 0.27432 | 0.09290 | 0.36446 | 0.20558 | 0.59447 |
SimplifiedLOF | 100 | 0.31796 | 0.14745 | 0.27583 | 0.09478 | 0.36041 | 0.20051 | 0.60285 |
LoOP | 17 | 0.32767 | 0.15959 | 0.27225 | 0.09031 | 0.33630 | 0.17037 | 0.56730 |
LoOP | 21 | 0.31311 | 0.14138 | 0.27310 | 0.09138 | 0.33728 | 0.17160 | 0.57051 |
LoOP | 81 | 0.31068 | 0.13835 | 0.26818 | 0.08523 | 0.35747 | 0.19684 | 0.59158 |
LoOP | 100 | 0.32039 | 0.15049 | 0.27070 | 0.08838 | 0.35501 | 0.19376 | 0.59804 |
LDOF | 62 | 0.30340 | 0.12925 | 0.27075 | 0.08844 | 0.35494 | 0.19368 | 0.58299 |
LDOF | 73 | 0.31796 | 0.14745 | 0.27171 | 0.08963 | 0.36157 | 0.20197 | 0.58252 |
LDOF | 95 | 0.33252 | 0.16566 | 0.27116 | 0.08895 | 0.35860 | 0.19824 | 0.57941 |
LDOF | 100 | 0.33010 | 0.16262 | 0.27207 | 0.09009 | 0.36142 | 0.20178 | 0.58054 |
ODIN | 85 | 0.30874 | 0.13592 | 0.27122 | 0.08902 | 0.37146 | 0.21433 | 0.61700 |
ODIN | 100 | 0.30394 | 0.12992 | 0.27807 | 0.09759 | 0.38078 | 0.22597 | 0.63062 |
FastABOD | 95 | 0.28641 | 0.10801 | 0.26092 | 0.07615 | 0.33611 | 0.17014 | 0.56128 |
FastABOD | 99 | 0.28641 | 0.10801 | 0.26147 | 0.07684 | 0.33611 | 0.17014 | 0.56184 |
FastABOD | 100 | 0.28641 | 0.10801 | 0.26146 | 0.07683 | 0.33642 | 0.17053 | 0.56201 |
KDEOS | 16 | 0.25485 | 0.06857 | 0.23496 | 0.04370 | 0.33803 | 0.17254 | 0.54596 |
KDEOS | 17 | 0.25971 | 0.07464 | 0.23284 | 0.04105 | 0.34319 | 0.17899 | 0.54846 |
KDEOS | 22 | 0.25485 | 0.06857 | 0.22756 | 0.03445 | 0.33942 | 0.17427 | 0.54918 |
LDF | 99 | 0.33981 | 0.17476 | 0.37578 | 0.21973 | 0.42919 | 0.28649 | 0.70071 |
LDF | 100 | 0.33738 | 0.17172 | 0.37761 | 0.22202 | 0.42918 | 0.28647 | 0.70136 |
INFLO | 92 | 0.33495 | 0.16869 | 0.27276 | 0.09095 | 0.39065 | 0.23831 | 0.61531 |
INFLO | 100 | 0.33010 | 0.16262 | 0.27589 | 0.09486 | 0.39586 | 0.24483 | 0.62082 |
COF | 17 | 0.29126 | 0.11408 | 0.27643 | 0.09554 | 0.34871 | 0.18588 | 0.57874 |
COF | 35 | 0.31553 | 0.14442 | 0.29102 | 0.11378 | 0.33656 | 0.17070 | 0.56640 |
COF | 57 | 0.29369 | 0.11711 | 0.29409 | 0.11761 | 0.33347 | 0.16684 | 0.54211 |
Plots
Normalized, duplicates
This version contains 21 attributes, 2068 objects, 413 outliers (19.97%)
Download raw algorithm results (17.8 MB) Download raw algorithm evaluation table (73.4 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 | 68 | 0.42615 | 0.28295 | 0.41068 | 0.26362 | 0.42874 | 0.28618 | 0.66524 |
KNN | 99 | 0.42373 | 0.27992 | 0.43031 | 0.28814 | 0.43770 | 0.29738 | 0.68281 |
KNN | 100 | 0.42373 | 0.27992 | 0.43052 | 0.28841 | 0.43716 | 0.29670 | 0.68313 |
KNNW | 87 | 0.40678 | 0.25874 | 0.38276 | 0.22873 | 0.41302 | 0.26654 | 0.63515 |
KNNW | 97 | 0.40678 | 0.25874 | 0.38740 | 0.23453 | 0.41562 | 0.26979 | 0.64047 |
KNNW | 100 | 0.40678 | 0.25874 | 0.38847 | 0.23587 | 0.41562 | 0.26979 | 0.64200 |
LOF | 98 | 0.34383 | 0.18008 | 0.31040 | 0.13831 | 0.40765 | 0.25984 | 0.66520 |
LOF | 100 | 0.34383 | 0.18008 | 0.31171 | 0.13996 | 0.40896 | 0.26146 | 0.66684 |
SimplifiedLOF | 22 | 0.33172 | 0.16495 | 0.29311 | 0.11670 | 0.34941 | 0.18706 | 0.58937 |
SimplifiedLOF | 25 | 0.32688 | 0.15890 | 0.29451 | 0.11846 | 0.34677 | 0.18376 | 0.58885 |
SimplifiedLOF | 95 | 0.31961 | 0.14982 | 0.28642 | 0.10835 | 0.36913 | 0.21170 | 0.61270 |
SimplifiedLOF | 100 | 0.31477 | 0.14377 | 0.28753 | 0.10973 | 0.36835 | 0.21073 | 0.61488 |
LoOP | 29 | 0.32203 | 0.15285 | 0.27955 | 0.09977 | 0.33886 | 0.17387 | 0.57841 |
LoOP | 99 | 0.31719 | 0.14680 | 0.28071 | 0.10121 | 0.36463 | 0.20607 | 0.60885 |
LoOP | 100 | 0.31235 | 0.14075 | 0.28086 | 0.10140 | 0.36290 | 0.20391 | 0.60868 |
LDOF | 24 | 0.30508 | 0.13167 | 0.27666 | 0.09615 | 0.33621 | 0.17057 | 0.56326 |
LDOF | 98 | 0.31719 | 0.14680 | 0.27368 | 0.09243 | 0.35959 | 0.19978 | 0.58261 |
LDOF | 100 | 0.31719 | 0.14680 | 0.27426 | 0.09316 | 0.36179 | 0.20253 | 0.58343 |
ODIN | 86 | 0.31356 | 0.14226 | 0.27834 | 0.09826 | 0.37750 | 0.22215 | 0.62395 |
ODIN | 100 | 0.29960 | 0.12481 | 0.28690 | 0.10895 | 0.38605 | 0.23284 | 0.63591 |
FastABOD | 89 | 0.28329 | 0.10444 | 0.26851 | 0.08596 | 0.34418 | 0.18052 | 0.58064 |
FastABOD | 94 | 0.28814 | 0.11049 | 0.26887 | 0.08642 | 0.34399 | 0.18029 | 0.58136 |
FastABOD | 100 | 0.28814 | 0.11049 | 0.26973 | 0.08749 | 0.34370 | 0.17993 | 0.58224 |
KDEOS | 12 | 0.23002 | 0.03788 | 0.23769 | 0.04745 | 0.33482 | 0.16883 | 0.53447 |
KDEOS | 24 | 0.24213 | 0.05301 | 0.23314 | 0.04177 | 0.34187 | 0.17763 | 0.55793 |
KDEOS | 26 | 0.23245 | 0.04090 | 0.22752 | 0.03474 | 0.34613 | 0.18296 | 0.55586 |
KDEOS | 93 | 0.25666 | 0.07116 | 0.23275 | 0.04129 | 0.34343 | 0.17958 | 0.55441 |
LDF | 6 | 0.35109 | 0.18916 | 0.31791 | 0.14770 | 0.36218 | 0.20302 | 0.59877 |
LDF | 100 | 0.34140 | 0.17705 | 0.38059 | 0.22602 | 0.41723 | 0.27181 | 0.69306 |
INFLO | 94 | 0.33414 | 0.16798 | 0.28369 | 0.10494 | 0.40000 | 0.25027 | 0.62647 |
INFLO | 97 | 0.32930 | 0.16193 | 0.28637 | 0.10829 | 0.40383 | 0.25506 | 0.63103 |
INFLO | 100 | 0.33172 | 0.16495 | 0.28700 | 0.10908 | 0.40164 | 0.25233 | 0.62877 |
COF | 13 | 0.30024 | 0.12562 | 0.27739 | 0.09706 | 0.33776 | 0.17249 | 0.56260 |
COF | 21 | 0.28814 | 0.11049 | 0.27847 | 0.09841 | 0.34697 | 0.18401 | 0.56803 |
COF | 24 | 0.28814 | 0.11049 | 0.28672 | 0.10872 | 0.34551 | 0.18218 | 0.57463 |
COF | 53 | 0.27361 | 0.09234 | 0.30203 | 0.12785 | 0.33293 | 0.16647 | 0.54698 |
Plots
Not normalized, without duplicates
This version contains 21 attributes, 2060 objects, 412 outliers (20.00%)
Download raw algorithm results (17.8 MB) Download raw algorithm evaluation table (73.7 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 | 84 | 0.40291 | 0.25364 | 0.35677 | 0.19597 | 0.41686 | 0.27107 | 0.67548 |
KNN | 90 | 0.40777 | 0.25971 | 0.35813 | 0.19766 | 0.41611 | 0.27013 | 0.67705 |
KNN | 100 | 0.40291 | 0.25364 | 0.35979 | 0.19973 | 0.41501 | 0.26876 | 0.67949 |
KNNW | 95 | 0.39078 | 0.23847 | 0.34006 | 0.17507 | 0.40413 | 0.25516 | 0.65951 |
KNNW | 97 | 0.39320 | 0.24150 | 0.34051 | 0.17563 | 0.40413 | 0.25516 | 0.66009 |
KNNW | 100 | 0.39320 | 0.24150 | 0.34124 | 0.17655 | 0.40409 | 0.25512 | 0.66088 |
LOF | 93 | 0.43447 | 0.29308 | 0.34326 | 0.17908 | 0.45455 | 0.31818 | 0.68609 |
LOF | 98 | 0.43447 | 0.29308 | 0.34619 | 0.18274 | 0.45975 | 0.32468 | 0.69028 |
LOF | 100 | 0.43447 | 0.29308 | 0.34675 | 0.18344 | 0.45860 | 0.32325 | 0.69132 |
SimplifiedLOF | 99 | 0.39078 | 0.23847 | 0.31689 | 0.14612 | 0.43313 | 0.29142 | 0.65350 |
SimplifiedLOF | 100 | 0.39078 | 0.23847 | 0.31695 | 0.14619 | 0.43170 | 0.28962 | 0.65367 |
LoOP | 98 | 0.37621 | 0.22027 | 0.31185 | 0.13981 | 0.42296 | 0.27870 | 0.64354 |
LoOP | 99 | 0.38107 | 0.22633 | 0.31199 | 0.13999 | 0.42339 | 0.27923 | 0.64211 |
LoOP | 100 | 0.38107 | 0.22633 | 0.31208 | 0.14010 | 0.42308 | 0.27885 | 0.64195 |
LDOF | 97 | 0.35922 | 0.19903 | 0.30608 | 0.13260 | 0.41963 | 0.27454 | 0.63628 |
LDOF | 98 | 0.36165 | 0.20206 | 0.30643 | 0.13303 | 0.41914 | 0.27392 | 0.63721 |
LDOF | 99 | 0.36165 | 0.20206 | 0.30667 | 0.13333 | 0.41843 | 0.27303 | 0.63707 |
LDOF | 100 | 0.35922 | 0.19903 | 0.30653 | 0.13316 | 0.41963 | 0.27454 | 0.63746 |
ODIN | 99 | 0.39583 | 0.24479 | 0.33852 | 0.17316 | 0.42813 | 0.28517 | 0.66676 |
ODIN | 100 | 0.39684 | 0.24606 | 0.33886 | 0.17358 | 0.42699 | 0.28374 | 0.66718 |
FastABOD | 4 | 0.25243 | 0.06553 | 0.27033 | 0.08791 | 0.34810 | 0.18513 | 0.57470 |
FastABOD | 5 | 0.25728 | 0.07160 | 0.27157 | 0.08946 | 0.34842 | 0.18553 | 0.57416 |
FastABOD | 10 | 0.24272 | 0.05340 | 0.26685 | 0.08356 | 0.35425 | 0.19282 | 0.56953 |
FastABOD | 81 | 0.28155 | 0.10194 | 0.26769 | 0.08461 | 0.34678 | 0.18348 | 0.57235 |
KDEOS | 68 | 0.24757 | 0.05947 | 0.23787 | 0.04733 | 0.36325 | 0.20406 | 0.57972 |
KDEOS | 99 | 0.23301 | 0.04126 | 0.24278 | 0.05347 | 0.37508 | 0.21886 | 0.59480 |
KDEOS | 100 | 0.23058 | 0.03823 | 0.24246 | 0.05308 | 0.37653 | 0.22067 | 0.59497 |
LDF | 69 | 0.40777 | 0.25971 | 0.34292 | 0.17865 | 0.43038 | 0.28797 | 0.67577 |
LDF | 86 | 0.41990 | 0.27488 | 0.35437 | 0.19296 | 0.42521 | 0.28152 | 0.69036 |
LDF | 99 | 0.41748 | 0.27184 | 0.36285 | 0.20357 | 0.42707 | 0.28384 | 0.70021 |
LDF | 100 | 0.41990 | 0.27488 | 0.36283 | 0.20354 | 0.42766 | 0.28457 | 0.70072 |
INFLO | 92 | 0.39078 | 0.23847 | 0.31709 | 0.14636 | 0.42975 | 0.28719 | 0.66400 |
INFLO | 100 | 0.39078 | 0.23847 | 0.31981 | 0.14977 | 0.43491 | 0.29364 | 0.66883 |
COF | 75 | 0.32039 | 0.15049 | 0.29055 | 0.11319 | 0.34495 | 0.18119 | 0.57348 |
COF | 77 | 0.32524 | 0.15655 | 0.28903 | 0.11128 | 0.35079 | 0.18848 | 0.57276 |
COF | 80 | 0.32039 | 0.15049 | 0.28836 | 0.11045 | 0.35661 | 0.19576 | 0.57477 |
COF | 100 | 0.31311 | 0.14138 | 0.28604 | 0.10755 | 0.34797 | 0.18497 | 0.58054 |
Plots
Not normalized, duplicates
This version contains 21 attributes, 2068 objects, 413 outliers (19.97%)
Download raw algorithm results (17.9 MB) Download raw algorithm evaluation table (75.5 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 | 90 | 0.39952 | 0.24967 | 0.35904 | 0.19909 | 0.41567 | 0.26985 | 0.68088 |
KNN | 95 | 0.40436 | 0.25572 | 0.36023 | 0.20058 | 0.41485 | 0.26882 | 0.68213 |
KNN | 100 | 0.40194 | 0.25269 | 0.36042 | 0.20081 | 0.41443 | 0.26831 | 0.68281 |
KNNW | 94 | 0.38983 | 0.23756 | 0.34331 | 0.17943 | 0.40890 | 0.26139 | 0.66750 |
KNNW | 100 | 0.38983 | 0.23756 | 0.34447 | 0.18089 | 0.40956 | 0.26221 | 0.66880 |
LOF | 93 | 0.43341 | 0.29202 | 0.34767 | 0.18489 | 0.46122 | 0.32677 | 0.69491 |
LOF | 94 | 0.43826 | 0.29808 | 0.34811 | 0.18544 | 0.46058 | 0.32597 | 0.69544 |
LOF | 100 | 0.43584 | 0.29505 | 0.35109 | 0.18916 | 0.45992 | 0.32514 | 0.69908 |
SimplifiedLOF | 99 | 0.38983 | 0.23756 | 0.32191 | 0.15270 | 0.43002 | 0.28778 | 0.66284 |
SimplifiedLOF | 100 | 0.38983 | 0.23756 | 0.32197 | 0.15277 | 0.43145 | 0.28957 | 0.66291 |
LoOP | 91 | 0.38015 | 0.22546 | 0.31339 | 0.14204 | 0.42022 | 0.27554 | 0.64745 |
LoOP | 93 | 0.38499 | 0.23151 | 0.31440 | 0.14331 | 0.41888 | 0.27386 | 0.64831 |
LoOP | 99 | 0.38499 | 0.23151 | 0.31736 | 0.14701 | 0.41879 | 0.27376 | 0.64941 |
LDOF | 91 | 0.36077 | 0.20126 | 0.30585 | 0.13263 | 0.41367 | 0.26735 | 0.64080 |
LDOF | 96 | 0.35835 | 0.19823 | 0.30845 | 0.13588 | 0.41744 | 0.27206 | 0.64383 |
LDOF | 100 | 0.36077 | 0.20126 | 0.30975 | 0.13749 | 0.41300 | 0.26652 | 0.64489 |
ODIN | 100 | 0.39952 | 0.24967 | 0.34169 | 0.17741 | 0.42800 | 0.28526 | 0.67200 |
FastABOD | 24 | 0.27845 | 0.09839 | 0.27637 | 0.09579 | 0.36384 | 0.20508 | 0.59274 |
FastABOD | 91 | 0.28814 | 0.11049 | 0.28153 | 0.10224 | 0.36175 | 0.20248 | 0.59941 |
FastABOD | 100 | 0.28814 | 0.11049 | 0.28214 | 0.10300 | 0.36195 | 0.20272 | 0.60024 |
KDEOS | 46 | 0.26150 | 0.07721 | 0.23631 | 0.04573 | 0.35697 | 0.19651 | 0.58527 |
KDEOS | 95 | 0.25424 | 0.06813 | 0.25415 | 0.06802 | 0.38218 | 0.22801 | 0.60894 |
KDEOS | 100 | 0.25666 | 0.07116 | 0.25557 | 0.06980 | 0.38165 | 0.22734 | 0.61060 |
LDF | 95 | 0.41404 | 0.26782 | 0.36532 | 0.20694 | 0.42706 | 0.28409 | 0.70554 |
LDF | 98 | 0.41162 | 0.26479 | 0.36777 | 0.21000 | 0.43033 | 0.28817 | 0.70822 |
LDF | 100 | 0.41404 | 0.26782 | 0.36902 | 0.21156 | 0.42874 | 0.28618 | 0.70944 |
INFLO | 100 | 0.39225 | 0.24059 | 0.32457 | 0.15602 | 0.44412 | 0.30540 | 0.67565 |
COF | 77 | 0.30751 | 0.13470 | 0.29509 | 0.11918 | 0.34763 | 0.18484 | 0.58184 |
COF | 85 | 0.32203 | 0.15285 | 0.29266 | 0.11615 | 0.35163 | 0.18983 | 0.58722 |
COF | 96 | 0.30508 | 0.13167 | 0.28532 | 0.10698 | 0.35721 | 0.19680 | 0.58682 |
COF | 98 | 0.30024 | 0.12562 | 0.28833 | 0.11074 | 0.35682 | 0.19631 | 0.58919 |