ALOI
This dataset is a collection of images provided by Geusebroek et al. [1], and has been used for outlier detection in different representations. We follow the processing of [2]. In this version, the data are represented in 27 numeric attributes (HSB histograms) and consist of 50,000 instances, divided into 1508 outliers (3.04%) and 48492 inliers (96.98%). This database contains 466 duplicates all belonging to inliers.
It was not feasible to run FastABOD for this data set due to its size and therefore the results for this method are missing.
References:
[1] J. M. Geusebroek, G. J. Burghouts, and A. W. M. Smeulders.
The Amsterdam Library of Object Images. Int. J. Computer
Vision, 61(1):103-112, 2005.
[2] H.-P. Kriegel, P. Kroeger, E. Schubert, and A. Zimek.
Interpreting and unifying outlier scores. In Proc. SDM, pages
13-24, 2011.
Download all data set variants used (19.6 MB). You can also access the original data.
- Normalized, without duplicates
- Normalized, duplicates
- Not normalized, without duplicates
- Not normalized, duplicates
Normalized, without duplicates
This version contains 27 attributes, 49534 objects, 1508 outliers (3.04%)
Download raw algorithm results (345.6 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 | 0.17308 | 0.14711 | 0.13017 | 0.10286 | 0.17933 | 0.15356 | 0.74062 |
KNNW | 1 | 0.17573 | 0.14985 | 0.14027 | 0.11327 | 0.18082 | 0.15510 | 0.74358 |
KNNW | 2 | 0.17440 | 0.14848 | 0.13670 | 0.10959 | 0.17937 | 0.15360 | 0.74434 |
LOF | 3 | 0.21154 | 0.18678 | 0.13760 | 0.11052 | 0.21791 | 0.19336 | 0.74770 |
LOF | 9 | 0.18501 | 0.15942 | 0.12136 | 0.09377 | 0.19957 | 0.17443 | 0.78228 |
SimplifiedLOF | 5 | 0.20955 | 0.18473 | 0.14273 | 0.11581 | 0.21471 | 0.19005 | 0.77973 |
SimplifiedLOF | 7 | 0.20225 | 0.17721 | 0.13845 | 0.11140 | 0.21705 | 0.19247 | 0.79082 |
SimplifiedLOF | 16 | 0.17241 | 0.14643 | 0.12116 | 0.09356 | 0.19497 | 0.16969 | 0.79565 |
LoOP | 7 | 0.21618 | 0.19157 | 0.15102 | 0.12436 | 0.23444 | 0.21040 | 0.79538 |
LoOP | 8 | 0.22281 | 0.19841 | 0.15122 | 0.12456 | 0.23144 | 0.20731 | 0.79744 |
LoOP | 12 | 0.21154 | 0.18678 | 0.14971 | 0.12301 | 0.23133 | 0.20720 | 0.80081 |
ODIN | 8 | 0.23282 | 0.20873 | 0.14347 | 0.11658 | 0.24752 | 0.22389 | 0.79899 |
ODIN | 11 | 0.23487 | 0.21084 | 0.15499 | 0.12846 | 0.24430 | 0.22057 | 0.80502 |
ODIN | 13 | 0.23709 | 0.21313 | 0.15775 | 0.13131 | 0.24182 | 0.21801 | 0.80355 |
ODIN | 17 | 0.22153 | 0.19708 | 0.16193 | 0.13561 | 0.22878 | 0.20456 | 0.79565 |
KDEOS | 19 | 0.12798 | 0.10060 | 0.08381 | 0.05504 | 0.15106 | 0.12440 | 0.75878 |
KDEOS | 28 | 0.12135 | 0.09376 | 0.08928 | 0.06068 | 0.15559 | 0.12907 | 0.76722 |
KDEOS | 99 | 0.12268 | 0.09513 | 0.09362 | 0.06516 | 0.15430 | 0.12774 | 0.77258 |
KDEOS | 100 | 0.12334 | 0.09582 | 0.09403 | 0.06559 | 0.15273 | 0.12613 | 0.77243 |
LDF | 3 | 0.14987 | 0.12317 | 0.10039 | 0.07214 | 0.16205 | 0.13574 | 0.72094 |
LDF | 9 | 0.12931 | 0.10197 | 0.08615 | 0.05745 | 0.14551 | 0.11868 | 0.74621 |
INFLO | 5 | 0.22878 | 0.20456 | 0.14882 | 0.12209 | 0.23526 | 0.21125 | 0.77810 |
INFLO | 9 | 0.21021 | 0.18541 | 0.14219 | 0.11526 | 0.22580 | 0.20149 | 0.79874 |
COF | 5 | 0.22944 | 0.20525 | 0.15038 | 0.12370 | 0.23173 | 0.20760 | 0.78092 |
COF | 6 | 0.22812 | 0.20388 | 0.15208 | 0.12545 | 0.23265 | 0.20855 | 0.79146 |
COF | 13 | 0.19496 | 0.16968 | 0.14344 | 0.11655 | 0.20998 | 0.18517 | 0.80168 |
Plots
Normalized, duplicates
This version contains 27 attributes, 50000 objects, 1508 outliers (3.02%)
Download raw algorithm results (347.0 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 | 1 | 0.17374 | 0.14805 | 0.13019 | 0.10314 | 0.17982 | 0.15432 | 0.74141 |
KNNW | 1 | 0.17573 | 0.15010 | 0.14090 | 0.11418 | 0.18164 | 0.15619 | 0.74862 |
LOF | 3 | 0.21088 | 0.18634 | 0.13298 | 0.10601 | 0.21881 | 0.19451 | 0.74755 |
LOF | 9 | 0.18568 | 0.16035 | 0.11933 | 0.09195 | 0.19791 | 0.17297 | 0.78437 |
SimplifiedLOF | 4 | 0.20955 | 0.18497 | 0.13710 | 0.11027 | 0.21418 | 0.18975 | 0.77125 |
SimplifiedLOF | 7 | 0.20027 | 0.17540 | 0.13415 | 0.10722 | 0.21859 | 0.19429 | 0.79267 |
SimplifiedLOF | 9 | 0.19562 | 0.17061 | 0.13114 | 0.10412 | 0.21236 | 0.18786 | 0.79755 |
LoOP | 7 | 0.21684 | 0.19249 | 0.15065 | 0.12424 | 0.23462 | 0.21082 | 0.79672 |
LoOP | 8 | 0.22281 | 0.19864 | 0.15084 | 0.12443 | 0.23180 | 0.20791 | 0.79850 |
LoOP | 9 | 0.22016 | 0.19591 | 0.15088 | 0.12448 | 0.22886 | 0.20487 | 0.80103 |
LoOP | 12 | 0.21021 | 0.18565 | 0.14852 | 0.12204 | 0.23272 | 0.20886 | 0.80243 |
ODIN | 8 | 0.23397 | 0.21015 | 0.14362 | 0.11699 | 0.24777 | 0.22438 | 0.80060 |
ODIN | 12 | 0.23450 | 0.21069 | 0.15644 | 0.13020 | 0.24430 | 0.22080 | 0.80608 |
ODIN | 14 | 0.23720 | 0.21347 | 0.16066 | 0.13456 | 0.23813 | 0.21443 | 0.80214 |
ODIN | 26 | 0.21963 | 0.19536 | 0.16201 | 0.13595 | 0.22377 | 0.19963 | 0.78533 |
KDEOS | 19 | 0.12732 | 0.10018 | 0.08360 | 0.05510 | 0.15090 | 0.12450 | 0.76041 |
KDEOS | 28 | 0.12135 | 0.09403 | 0.08867 | 0.06033 | 0.15525 | 0.12898 | 0.76915 |
KDEOS | 98 | 0.12003 | 0.09266 | 0.09264 | 0.06442 | 0.15412 | 0.12782 | 0.77409 |
KDEOS | 100 | 0.12334 | 0.09608 | 0.09352 | 0.06533 | 0.15415 | 0.12784 | 0.77408 |
LDF | 3 | 0.15119 | 0.12480 | 0.10143 | 0.07349 | 0.16363 | 0.13762 | 0.72342 |
LDF | 9 | 0.13064 | 0.10360 | 0.08717 | 0.05878 | 0.14766 | 0.12115 | 0.74790 |
INFLO | 5 | 0.22745 | 0.20343 | 0.14351 | 0.11687 | 0.23509 | 0.21130 | 0.77921 |
INFLO | 9 | 0.21021 | 0.18565 | 0.13931 | 0.11255 | 0.22596 | 0.20189 | 0.80020 |
COF | 5 | 0.22613 | 0.20206 | 0.14791 | 0.12142 | 0.23070 | 0.20677 | 0.78181 |
COF | 6 | 0.22679 | 0.20275 | 0.15054 | 0.12413 | 0.23064 | 0.20672 | 0.79240 |
COF | 7 | 0.21286 | 0.18839 | 0.15072 | 0.12431 | 0.22974 | 0.20579 | 0.79740 |
COF | 13 | 0.19363 | 0.16856 | 0.14095 | 0.11424 | 0.21083 | 0.18629 | 0.80353 |
Plots
Not normalized, without duplicates
This version contains 27 attributes, 49534 objects, 1508 outliers (3.04%)
Download raw algorithm results (343.2 MB) Download raw algorithm evaluation table (66.5 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 | 1 | 0.18103 | 0.15532 | 0.15349 | 0.12691 | 0.18401 | 0.15838 | 0.73511 |
KNNW | 1 | 0.18369 | 0.15806 | 0.15659 | 0.13011 | 0.18776 | 0.16225 | 0.73698 |
KNNW | 2 | 0.18037 | 0.15464 | 0.15790 | 0.13146 | 0.18840 | 0.16291 | 0.73838 |
LOF | 3 | 0.15981 | 0.13343 | 0.11255 | 0.08469 | 0.18620 | 0.16065 | 0.73000 |
LOF | 4 | 0.17507 | 0.14916 | 0.11349 | 0.08565 | 0.18404 | 0.15841 | 0.73851 |
LOF | 10 | 0.16313 | 0.13685 | 0.10072 | 0.07248 | 0.17487 | 0.14896 | 0.76123 |
SimplifiedLOF | 4 | 0.17440 | 0.14848 | 0.11779 | 0.09009 | 0.18549 | 0.15991 | 0.74272 |
SimplifiedLOF | 6 | 0.17706 | 0.15122 | 0.11702 | 0.08929 | 0.18218 | 0.15650 | 0.76087 |
SimplifiedLOF | 9 | 0.17109 | 0.14506 | 0.11390 | 0.08608 | 0.18942 | 0.16397 | 0.77572 |
SimplifiedLOF | 15 | 0.16180 | 0.13548 | 0.10649 | 0.07843 | 0.18422 | 0.15860 | 0.77834 |
LoOP | 9 | 0.18236 | 0.15669 | 0.12579 | 0.09834 | 0.19457 | 0.16928 | 0.78122 |
LoOP | 14 | 0.18700 | 0.16147 | 0.12274 | 0.09520 | 0.19611 | 0.17087 | 0.78371 |
LoOP | 15 | 0.18568 | 0.16011 | 0.12183 | 0.09426 | 0.19940 | 0.17426 | 0.78390 |
LoOP | 16 | 0.18501 | 0.15942 | 0.12070 | 0.09309 | 0.20165 | 0.17658 | 0.78275 |
ODIN | 10 | 0.21182 | 0.18707 | 0.13428 | 0.10709 | 0.21690 | 0.19231 | 0.79174 |
ODIN | 14 | 0.21429 | 0.18962 | 0.14024 | 0.11325 | 0.22861 | 0.20439 | 0.78467 |
ODIN | 15 | 0.21930 | 0.19479 | 0.14067 | 0.11369 | 0.22794 | 0.20369 | 0.78348 |
ODIN | 20 | 0.21328 | 0.18858 | 0.14683 | 0.12004 | 0.22407 | 0.19970 | 0.78069 |
KDEOS | 95 | 0.13727 | 0.11018 | 0.10360 | 0.07546 | 0.16100 | 0.13466 | 0.78070 |
KDEOS | 97 | 0.13992 | 0.11291 | 0.10482 | 0.07671 | 0.16100 | 0.13465 | 0.78132 |
KDEOS | 100 | 0.13926 | 0.11223 | 0.10590 | 0.07782 | 0.15974 | 0.13336 | 0.78207 |
LDF | 4 | 0.14390 | 0.11702 | 0.09057 | 0.06202 | 0.15345 | 0.12687 | 0.71084 |
LDF | 10 | 0.11141 | 0.08350 | 0.07466 | 0.04560 | 0.13009 | 0.10277 | 0.72687 |
INFLO | 5 | 0.17772 | 0.15190 | 0.12251 | 0.09496 | 0.19217 | 0.16681 | 0.75937 |
INFLO | 8 | 0.17507 | 0.14916 | 0.12012 | 0.09249 | 0.19461 | 0.16932 | 0.78453 |
INFLO | 10 | 0.17905 | 0.15327 | 0.11746 | 0.08975 | 0.19630 | 0.17106 | 0.78010 |
INFLO | 12 | 0.18369 | 0.15806 | 0.11520 | 0.08741 | 0.19404 | 0.16874 | 0.77837 |
COF | 5 | 0.18369 | 0.15806 | 0.12802 | 0.10064 | 0.19331 | 0.16798 | 0.75648 |
COF | 9 | 0.18037 | 0.15464 | 0.13433 | 0.10714 | 0.19910 | 0.17395 | 0.77916 |
COF | 12 | 0.17175 | 0.14574 | 0.12800 | 0.10061 | 0.19617 | 0.17093 | 0.78497 |
Plots
Not normalized, duplicates
This version contains 27 attributes, 50000 objects, 1508 outliers (3.02%)
Download raw algorithm results (344.7 MB) Download raw algorithm evaluation table (66.0 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 | 1 | 0.18170 | 0.15625 | 0.15358 | 0.12726 | 0.18461 | 0.15925 | 0.73618 |
KNNW | 1 | 0.18369 | 0.15830 | 0.15709 | 0.13088 | 0.18797 | 0.16272 | 0.74191 |
KNNW | 2 | 0.18037 | 0.15488 | 0.15832 | 0.13215 | 0.18887 | 0.16364 | 0.74096 |
LOF | 4 | 0.17440 | 0.14873 | 0.11031 | 0.08264 | 0.18453 | 0.15917 | 0.73898 |
LOF | 10 | 0.15981 | 0.13369 | 0.09813 | 0.07008 | 0.17531 | 0.14966 | 0.76275 |
SimplifiedLOF | 6 | 0.17639 | 0.15078 | 0.11410 | 0.08655 | 0.18350 | 0.15810 | 0.76302 |
SimplifiedLOF | 9 | 0.16844 | 0.14258 | 0.11084 | 0.08319 | 0.18955 | 0.16435 | 0.77820 |
SimplifiedLOF | 14 | 0.16114 | 0.13505 | 0.10396 | 0.07610 | 0.18308 | 0.15768 | 0.78016 |
LoOP | 9 | 0.18170 | 0.15625 | 0.12523 | 0.09803 | 0.19561 | 0.17059 | 0.78290 |
LoOP | 14 | 0.18767 | 0.16240 | 0.12163 | 0.09431 | 0.19416 | 0.16910 | 0.78526 |
LoOP | 22 | 0.17971 | 0.15420 | 0.11416 | 0.08661 | 0.20095 | 0.17611 | 0.78139 |
ODIN | 10 | 0.21156 | 0.18704 | 0.13351 | 0.10656 | 0.21708 | 0.19273 | 0.79375 |
ODIN | 15 | 0.21878 | 0.19449 | 0.14068 | 0.11396 | 0.22826 | 0.20426 | 0.78533 |
ODIN | 19 | 0.21302 | 0.18855 | 0.14663 | 0.12009 | 0.22502 | 0.20092 | 0.78307 |
KDEOS | 94 | 0.13859 | 0.11181 | 0.10222 | 0.07430 | 0.15891 | 0.13275 | 0.78210 |
KDEOS | 97 | 0.13528 | 0.10839 | 0.10424 | 0.07639 | 0.16106 | 0.13497 | 0.78298 |
KDEOS | 100 | 0.13793 | 0.11112 | 0.10531 | 0.07748 | 0.16068 | 0.13458 | 0.78402 |
LDF | 4 | 0.14058 | 0.11386 | 0.09010 | 0.06181 | 0.15206 | 0.12569 | 0.71105 |
LDF | 10 | 0.11340 | 0.08582 | 0.07449 | 0.04571 | 0.12824 | 0.10113 | 0.72750 |
INFLO | 4 | 0.18103 | 0.15557 | 0.11822 | 0.09080 | 0.19605 | 0.17105 | 0.75121 |
INFLO | 5 | 0.17838 | 0.15283 | 0.11998 | 0.09261 | 0.19325 | 0.16816 | 0.76154 |
INFLO | 8 | 0.17573 | 0.15010 | 0.11631 | 0.08882 | 0.19286 | 0.16776 | 0.78459 |
INFLO | 12 | 0.18369 | 0.15830 | 0.11123 | 0.08359 | 0.19300 | 0.16790 | 0.77994 |
COF | 7 | 0.18435 | 0.15899 | 0.12624 | 0.09906 | 0.19735 | 0.17239 | 0.77166 |
COF | 9 | 0.18037 | 0.15488 | 0.12839 | 0.10128 | 0.20157 | 0.17674 | 0.78015 |
COF | 12 | 0.16910 | 0.14326 | 0.12383 | 0.09659 | 0.19778 | 0.17283 | 0.78645 |