Cardiotocography (20% of outliers version#09)
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 (72.0 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 | 99 | 0.43447 | 0.29308 | 0.42806 | 0.28508 | 0.43966 | 0.29957 | 0.68189 |
KNN | 100 | 0.43204 | 0.29005 | 0.42908 | 0.28635 | 0.44156 | 0.30195 | 0.68285 |
KNNW | 43 | 0.41019 | 0.26274 | 0.35942 | 0.19927 | 0.41297 | 0.26621 | 0.59820 |
KNNW | 99 | 0.40777 | 0.25971 | 0.38777 | 0.23471 | 0.41919 | 0.27399 | 0.63789 |
KNNW | 100 | 0.40777 | 0.25971 | 0.38815 | 0.23519 | 0.41919 | 0.27399 | 0.63839 |
LOF | 99 | 0.34951 | 0.18689 | 0.31139 | 0.13924 | 0.40881 | 0.26102 | 0.66586 |
LOF | 100 | 0.34709 | 0.18386 | 0.31066 | 0.13832 | 0.40813 | 0.26016 | 0.66704 |
SimplifiedLOF | 22 | 0.34223 | 0.17779 | 0.29696 | 0.12120 | 0.35526 | 0.19408 | 0.58484 |
SimplifiedLOF | 32 | 0.32282 | 0.15352 | 0.29903 | 0.12379 | 0.35370 | 0.19213 | 0.59064 |
SimplifiedLOF | 82 | 0.32282 | 0.15352 | 0.28622 | 0.10777 | 0.37140 | 0.21425 | 0.60634 |
SimplifiedLOF | 100 | 0.32282 | 0.15352 | 0.28892 | 0.11115 | 0.36920 | 0.21150 | 0.61448 |
LoOP | 26 | 0.33252 | 0.16566 | 0.28292 | 0.10365 | 0.34051 | 0.17564 | 0.57640 |
LoOP | 32 | 0.31796 | 0.14745 | 0.28556 | 0.10695 | 0.34375 | 0.17969 | 0.58022 |
LoOP | 83 | 0.31553 | 0.14442 | 0.27924 | 0.09905 | 0.36456 | 0.20570 | 0.60167 |
LoOP | 99 | 0.32524 | 0.15655 | 0.28321 | 0.10401 | 0.36168 | 0.20210 | 0.60949 |
LDOF | 21 | 0.32039 | 0.15049 | 0.27978 | 0.09973 | 0.33387 | 0.16734 | 0.55531 |
LDOF | 24 | 0.31068 | 0.13835 | 0.28087 | 0.10109 | 0.33360 | 0.16700 | 0.55639 |
LDOF | 91 | 0.31311 | 0.14138 | 0.27592 | 0.09490 | 0.36218 | 0.20272 | 0.58555 |
ODIN | 87 | 0.31796 | 0.14745 | 0.28452 | 0.10565 | 0.37500 | 0.21875 | 0.62525 |
ODIN | 99 | 0.30886 | 0.13607 | 0.29054 | 0.11317 | 0.38216 | 0.22770 | 0.63498 |
ODIN | 100 | 0.31103 | 0.13878 | 0.29115 | 0.11394 | 0.38210 | 0.22762 | 0.63587 |
FastABOD | 73 | 0.29126 | 0.11408 | 0.26478 | 0.08098 | 0.34370 | 0.17962 | 0.56775 |
FastABOD | 94 | 0.28641 | 0.10801 | 0.26768 | 0.08460 | 0.34521 | 0.18151 | 0.57101 |
FastABOD | 100 | 0.29126 | 0.11408 | 0.26821 | 0.08527 | 0.34483 | 0.18103 | 0.57191 |
KDEOS | 16 | 0.25485 | 0.06857 | 0.24430 | 0.05537 | 0.33751 | 0.17188 | 0.54713 |
KDEOS | 93 | 0.25971 | 0.07464 | 0.23634 | 0.04543 | 0.34704 | 0.18380 | 0.55527 |
KDEOS | 100 | 0.25485 | 0.06857 | 0.23804 | 0.04755 | 0.34595 | 0.18243 | 0.55775 |
LDF | 100 | 0.34223 | 0.17779 | 0.37993 | 0.22492 | 0.42249 | 0.27811 | 0.69553 |
INFLO | 95 | 0.33495 | 0.16869 | 0.28698 | 0.10872 | 0.40683 | 0.25853 | 0.63662 |
INFLO | 96 | 0.33738 | 0.17172 | 0.28711 | 0.10889 | 0.40685 | 0.25856 | 0.63643 |
INFLO | 100 | 0.33495 | 0.16869 | 0.28801 | 0.11001 | 0.40825 | 0.26031 | 0.63481 |
COF | 19 | 0.30825 | 0.13532 | 0.28984 | 0.11230 | 0.34550 | 0.18187 | 0.57849 |
COF | 27 | 0.31553 | 0.14442 | 0.29018 | 0.11272 | 0.34628 | 0.18285 | 0.57052 |
COF | 39 | 0.33252 | 0.16566 | 0.30297 | 0.12872 | 0.33945 | 0.17431 | 0.56608 |
COF | 54 | 0.31068 | 0.13835 | 0.31636 | 0.14545 | 0.33347 | 0.16684 | 0.54702 |
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 | 99 | 0.40920 | 0.26177 | 0.41250 | 0.26589 | 0.41778 | 0.27249 | 0.67411 |
KNN | 100 | 0.40920 | 0.26177 | 0.41274 | 0.26619 | 0.41881 | 0.27378 | 0.67411 |
KNNW | 82 | 0.38741 | 0.23454 | 0.36152 | 0.20219 | 0.39426 | 0.24309 | 0.61508 |
KNNW | 95 | 0.38741 | 0.23454 | 0.36709 | 0.20915 | 0.39683 | 0.24631 | 0.62307 |
KNNW | 100 | 0.38499 | 0.23151 | 0.36934 | 0.21196 | 0.39474 | 0.24370 | 0.62584 |
LOF | 99 | 0.34383 | 0.18008 | 0.29179 | 0.11506 | 0.39661 | 0.24604 | 0.65641 |
LOF | 100 | 0.33898 | 0.17403 | 0.29236 | 0.11577 | 0.39563 | 0.24481 | 0.65720 |
SimplifiedLOF | 16 | 0.31235 | 0.14075 | 0.27798 | 0.09780 | 0.34677 | 0.18376 | 0.57912 |
SimplifiedLOF | 18 | 0.31961 | 0.14982 | 0.27624 | 0.09563 | 0.34359 | 0.17979 | 0.57885 |
SimplifiedLOF | 73 | 0.29540 | 0.11957 | 0.26598 | 0.08281 | 0.35934 | 0.19946 | 0.59177 |
SimplifiedLOF | 100 | 0.30993 | 0.13772 | 0.26988 | 0.08768 | 0.35800 | 0.19779 | 0.60135 |
LoOP | 13 | 0.30751 | 0.13470 | 0.26930 | 0.08696 | 0.33293 | 0.16647 | 0.56308 |
LoOP | 16 | 0.31477 | 0.14377 | 0.26887 | 0.08642 | 0.33917 | 0.17426 | 0.56913 |
LoOP | 79 | 0.30266 | 0.12865 | 0.26113 | 0.07674 | 0.35523 | 0.19433 | 0.58969 |
LoOP | 100 | 0.30508 | 0.13167 | 0.26392 | 0.08023 | 0.35267 | 0.19113 | 0.59697 |
LDOF | 19 | 0.29056 | 0.11352 | 0.26973 | 0.08749 | 0.33347 | 0.16714 | 0.55555 |
LDOF | 60 | 0.27119 | 0.08931 | 0.26304 | 0.07914 | 0.35192 | 0.19019 | 0.57878 |
LDOF | 96 | 0.30266 | 0.12865 | 0.26276 | 0.07878 | 0.35667 | 0.19612 | 0.57613 |
LDOF | 100 | 0.31235 | 0.14075 | 0.26271 | 0.07872 | 0.35314 | 0.19172 | 0.57609 |
ODIN | 88 | 0.29540 | 0.11957 | 0.26487 | 0.08142 | 0.37522 | 0.21930 | 0.61591 |
ODIN | 98 | 0.29263 | 0.11611 | 0.26997 | 0.08779 | 0.38286 | 0.22885 | 0.62562 |
ODIN | 100 | 0.29464 | 0.11862 | 0.27115 | 0.08927 | 0.38264 | 0.22858 | 0.62738 |
FastABOD | 92 | 0.29056 | 0.11352 | 0.26229 | 0.07820 | 0.34308 | 0.17914 | 0.56939 |
FastABOD | 97 | 0.29298 | 0.11654 | 0.26274 | 0.07876 | 0.34289 | 0.17891 | 0.56999 |
FastABOD | 100 | 0.29298 | 0.11654 | 0.26323 | 0.07937 | 0.34232 | 0.17820 | 0.57038 |
KDEOS | 12 | 0.24213 | 0.05301 | 0.23307 | 0.04168 | 0.33470 | 0.16867 | 0.54196 |
KDEOS | 19 | 0.25908 | 0.07419 | 0.23060 | 0.03859 | 0.34060 | 0.17605 | 0.55584 |
KDEOS | 83 | 0.22034 | 0.02578 | 0.22146 | 0.02718 | 0.34344 | 0.17960 | 0.54303 |
LDF | 97 | 0.32930 | 0.16193 | 0.36790 | 0.21016 | 0.42291 | 0.27890 | 0.69008 |
LDF | 100 | 0.32930 | 0.16193 | 0.37548 | 0.21963 | 0.42420 | 0.28051 | 0.69300 |
INFLO | 94 | 0.32930 | 0.16193 | 0.27094 | 0.08900 | 0.39918 | 0.24925 | 0.62447 |
INFLO | 100 | 0.32688 | 0.15890 | 0.27305 | 0.09164 | 0.40163 | 0.25231 | 0.62645 |
COF | 15 | 0.30508 | 0.13167 | 0.26349 | 0.07970 | 0.33867 | 0.17364 | 0.55876 |
COF | 18 | 0.29298 | 0.11654 | 0.25867 | 0.07368 | 0.34347 | 0.17963 | 0.55679 |
COF | 65 | 0.27603 | 0.09536 | 0.27963 | 0.09986 | 0.33293 | 0.16647 | 0.53066 |
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 | 86 | 0.40534 | 0.25667 | 0.36223 | 0.20279 | 0.41723 | 0.27154 | 0.68172 |
KNN | 95 | 0.41262 | 0.26578 | 0.36364 | 0.20455 | 0.41564 | 0.26955 | 0.68326 |
KNN | 100 | 0.40777 | 0.25971 | 0.36430 | 0.20538 | 0.41477 | 0.26846 | 0.68435 |
KNNW | 98 | 0.39320 | 0.24150 | 0.34698 | 0.18372 | 0.40948 | 0.26184 | 0.66983 |
KNNW | 99 | 0.39320 | 0.24150 | 0.34722 | 0.18403 | 0.40986 | 0.26233 | 0.67005 |
KNNW | 100 | 0.39320 | 0.24150 | 0.34740 | 0.18426 | 0.40986 | 0.26233 | 0.67024 |
LOF | 85 | 0.42718 | 0.28398 | 0.34568 | 0.18210 | 0.46263 | 0.32828 | 0.69051 |
LOF | 94 | 0.43689 | 0.29612 | 0.35185 | 0.18982 | 0.46185 | 0.32731 | 0.69765 |
LOF | 100 | 0.43689 | 0.29612 | 0.35490 | 0.19362 | 0.45771 | 0.32214 | 0.70083 |
SimplifiedLOF | 98 | 0.38592 | 0.23240 | 0.32451 | 0.15564 | 0.42678 | 0.28347 | 0.66226 |
SimplifiedLOF | 100 | 0.39078 | 0.23847 | 0.32497 | 0.15621 | 0.42518 | 0.28148 | 0.66255 |
LoOP | 97 | 0.38592 | 0.23240 | 0.31828 | 0.14785 | 0.41543 | 0.26929 | 0.64799 |
LoOP | 99 | 0.39078 | 0.23847 | 0.31905 | 0.14881 | 0.41879 | 0.27348 | 0.64777 |
LoOP | 100 | 0.39320 | 0.24150 | 0.31949 | 0.14937 | 0.41714 | 0.27143 | 0.64783 |
LDOF | 99 | 0.37379 | 0.21723 | 0.30967 | 0.13708 | 0.41651 | 0.27064 | 0.64005 |
LDOF | 100 | 0.36893 | 0.21117 | 0.30955 | 0.13693 | 0.41856 | 0.27320 | 0.63998 |
ODIN | 100 | 0.40049 | 0.25061 | 0.34260 | 0.17825 | 0.42998 | 0.28748 | 0.67042 |
FastABOD | 35 | 0.29612 | 0.12015 | 0.28036 | 0.10045 | 0.35978 | 0.19972 | 0.59073 |
FastABOD | 97 | 0.29369 | 0.11711 | 0.28478 | 0.10598 | 0.36203 | 0.20254 | 0.59601 |
FastABOD | 99 | 0.29369 | 0.11711 | 0.28505 | 0.10631 | 0.36203 | 0.20254 | 0.59616 |
FastABOD | 100 | 0.29369 | 0.11711 | 0.28499 | 0.10624 | 0.36160 | 0.20200 | 0.59621 |
KDEOS | 43 | 0.25971 | 0.07464 | 0.23277 | 0.04096 | 0.35580 | 0.19475 | 0.57669 |
KDEOS | 98 | 0.25243 | 0.06553 | 0.25417 | 0.06771 | 0.37395 | 0.21744 | 0.60477 |
KDEOS | 100 | 0.25485 | 0.06857 | 0.25559 | 0.06949 | 0.37372 | 0.21715 | 0.60594 |
LDF | 55 | 0.41262 | 0.26578 | 0.34309 | 0.17886 | 0.43784 | 0.29730 | 0.67307 |
LDF | 85 | 0.42476 | 0.28095 | 0.36112 | 0.20140 | 0.42921 | 0.28652 | 0.69815 |
LDF | 100 | 0.41990 | 0.27488 | 0.37092 | 0.21366 | 0.43509 | 0.29386 | 0.70926 |
INFLO | 94 | 0.38835 | 0.23544 | 0.32498 | 0.15622 | 0.44428 | 0.30535 | 0.66975 |
INFLO | 99 | 0.38350 | 0.22937 | 0.32668 | 0.15835 | 0.44727 | 0.30909 | 0.67231 |
INFLO | 100 | 0.38592 | 0.23240 | 0.32785 | 0.15981 | 0.44725 | 0.30906 | 0.67446 |
COF | 74 | 0.29854 | 0.12318 | 0.29755 | 0.12194 | 0.36394 | 0.20493 | 0.59007 |
COF | 87 | 0.32039 | 0.15049 | 0.30160 | 0.12700 | 0.35726 | 0.19658 | 0.59602 |
COF | 91 | 0.32524 | 0.15655 | 0.29885 | 0.12357 | 0.35525 | 0.19406 | 0.59527 |
Plots
Not 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 (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 | 96 | 0.39952 | 0.24967 | 0.34772 | 0.18494 | 0.41081 | 0.26378 | 0.67070 |
KNN | 100 | 0.39952 | 0.24967 | 0.34830 | 0.18567 | 0.41150 | 0.26465 | 0.67144 |
KNNW | 83 | 0.38983 | 0.23756 | 0.33022 | 0.16308 | 0.39888 | 0.24887 | 0.65492 |
KNNW | 96 | 0.38257 | 0.22849 | 0.33286 | 0.16638 | 0.40103 | 0.25156 | 0.65767 |
KNNW | 100 | 0.38499 | 0.23151 | 0.33363 | 0.16734 | 0.40068 | 0.25113 | 0.65844 |
LOF | 97 | 0.43584 | 0.29505 | 0.33890 | 0.17392 | 0.44776 | 0.30995 | 0.68698 |
LOF | 100 | 0.43341 | 0.29202 | 0.34025 | 0.17562 | 0.45191 | 0.31514 | 0.68868 |
SimplifiedLOF | 98 | 0.38741 | 0.23454 | 0.31252 | 0.14096 | 0.42932 | 0.28691 | 0.65672 |
SimplifiedLOF | 99 | 0.38983 | 0.23756 | 0.31282 | 0.14134 | 0.42842 | 0.28579 | 0.65679 |
SimplifiedLOF | 100 | 0.38983 | 0.23756 | 0.31305 | 0.14162 | 0.42677 | 0.28372 | 0.65687 |
LoOP | 98 | 0.38257 | 0.22849 | 0.30724 | 0.13436 | 0.42115 | 0.27670 | 0.64260 |
LoOP | 99 | 0.38499 | 0.23151 | 0.30757 | 0.13478 | 0.41954 | 0.27469 | 0.64289 |
LoOP | 100 | 0.38741 | 0.23454 | 0.30761 | 0.13483 | 0.41992 | 0.27517 | 0.64198 |
LDOF | 90 | 0.36320 | 0.20428 | 0.29798 | 0.12279 | 0.40926 | 0.26184 | 0.63475 |
LDOF | 99 | 0.35835 | 0.19823 | 0.30292 | 0.12897 | 0.41093 | 0.26393 | 0.64031 |
LDOF | 100 | 0.36077 | 0.20126 | 0.30305 | 0.12913 | 0.41360 | 0.26726 | 0.64018 |
ODIN | 98 | 0.38923 | 0.23681 | 0.33174 | 0.16498 | 0.42672 | 0.28366 | 0.66079 |
ODIN | 100 | 0.38776 | 0.23497 | 0.33257 | 0.16601 | 0.42436 | 0.28071 | 0.66164 |
FastABOD | 28 | 0.27845 | 0.09839 | 0.27208 | 0.09043 | 0.35718 | 0.19677 | 0.58444 |
FastABOD | 47 | 0.28571 | 0.10747 | 0.27408 | 0.09293 | 0.35466 | 0.19362 | 0.58631 |
FastABOD | 99 | 0.28329 | 0.10444 | 0.27738 | 0.09705 | 0.35637 | 0.19576 | 0.58998 |
FastABOD | 100 | 0.28329 | 0.10444 | 0.27736 | 0.09703 | 0.35660 | 0.19604 | 0.59003 |
KDEOS | 99 | 0.25666 | 0.07116 | 0.24679 | 0.05883 | 0.37895 | 0.22397 | 0.60610 |
KDEOS | 100 | 0.25908 | 0.07419 | 0.24613 | 0.05800 | 0.38013 | 0.22545 | 0.60616 |
LDF | 71 | 0.38741 | 0.23454 | 0.33497 | 0.16902 | 0.41860 | 0.27352 | 0.67238 |
LDF | 91 | 0.40678 | 0.25874 | 0.34717 | 0.18426 | 0.41322 | 0.26679 | 0.68671 |
LDF | 100 | 0.40194 | 0.25269 | 0.35198 | 0.19026 | 0.41648 | 0.27086 | 0.69313 |
INFLO | 90 | 0.37530 | 0.21941 | 0.31288 | 0.14141 | 0.43620 | 0.29551 | 0.66342 |
INFLO | 96 | 0.38741 | 0.23454 | 0.31442 | 0.14334 | 0.43478 | 0.29373 | 0.66059 |
INFLO | 100 | 0.38499 | 0.23151 | 0.31531 | 0.14444 | 0.43357 | 0.29221 | 0.66478 |
COF | 13 | 0.27361 | 0.09234 | 0.25124 | 0.06439 | 0.35227 | 0.19063 | 0.57181 |
COF | 82 | 0.31719 | 0.14680 | 0.28195 | 0.10276 | 0.34175 | 0.17749 | 0.57795 |
COF | 86 | 0.32446 | 0.15588 | 0.27975 | 0.10002 | 0.34336 | 0.17949 | 0.57798 |
COF | 91 | 0.31235 | 0.14075 | 0.27927 | 0.09941 | 0.34477 | 0.18126 | 0.58348 |