KDDCup99
This data set captures different types of network intrusions or attacks. We follow the preprocessing performed by Nguyen and Gopalkrishnan [1,2], without removing the categorical attributes, using U2R outlier and normal as inlier. U2R as referred to by Nguyen and Gopalkrishnan contains the following attacks: buffer_overflow, ftp_write, imap, load_module, multihop, nmap, perl, phf, pod, rootkit, and teardrop. These attacks have 246 instances of the database, defined as outliers. After the preprocessing, this database has 38 numerical attributes, 3 categorical attributes and 60,839 instances, divided into 60,593 inliers and 246 outliers. This dataset contains 12,726 duplicates (46 outliers and 12,680 inliers). A slightly different version of this data set was also used in [3,4].
It was not feasible to run FastABOD for this data set due to its size and therefore the results for this method are missing. For the version with duplicates, also generating results of LDOF was computationally prohibitive.
References
[1] H. V. Nguyen and V. Gopalkrishnan. Feature extraction for
outlier detection in high-dimensional spaces. J. Mach. Learn.
Res., Proceedings Track 10:66-75, 2010.
[2] H. V. Nguyen, H. H. Ang, and V. Gopalkrishnan. Mining
outliers with ensemble of heterogeneous detectors on
random subspaces. In Proc. DASFAA, pages 368-383, 2010.
[3] H.-P. Kriegel, P. Kroeger, E. Schubert, and A. Zimek.
Interpreting and unifying outlier scores. In Proc. SDM, pages
13-24, 2011
[4] E. Schubert, R. Wojdanowski, A. Zimek, and H.-P. Kriegel.
On evaluation of outlier rankings and outlier scores. In Proc.
SDM, pages 1047-1058, 2012.
Download all data set variants used (15.7 MB). You can also access the original data. (corrected.gz)
- Normalized, without duplicates, idf weighted categorial attributes
- Normalized, without duplicates, 1-of-n encoding
- Normalized, without duplicates, categorial attributes removed
- Normalized, duplicates, idf weighted categorial attributes
- Normalized, duplicates, 1-of-n encoding
- Normalized, duplicates, categorial attributes removed
- Not normalized, without duplicates, idf weighted categorial attributes
- Not normalized, without duplicates, 1-of-n encoding
- Not normalized, without duplicates, categorial attributes removed
- Not normalized, duplicates, idf weighted categorial attributes
- Not normalized, duplicates, 1-of-n encoding
- Not normalized, duplicates, categorial attributes removed
Normalized, without duplicates, idf weighted categorial attributes
This version contains 40 attributes, 48113 objects, 200 outliers (0.42%)
Download raw algorithm results (333.2 MB) Download raw algorithm evaluation table (62.0 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 | 80 | 0.43500 | 0.43264 | 0.25543 | 0.25232 | 0.47748 | 0.47530 | 0.98910 |
KNN | 89 | 0.43500 | 0.43264 | 0.54723 | 0.54534 | 0.56140 | 0.55957 | 0.98974 |
KNN | 92 | 0.43500 | 0.43264 | 0.54939 | 0.54751 | 0.56940 | 0.56760 | 0.98967 |
KNN | 94 | 0.43500 | 0.43264 | 0.54901 | 0.54713 | 0.57143 | 0.56964 | 0.98963 |
KNNW | 19 | 0.21500 | 0.21172 | 0.08512 | 0.08130 | 0.22407 | 0.22083 | 0.91802 |
KNNW | 100 | 0.17500 | 0.17156 | 0.14322 | 0.13964 | 0.29428 | 0.29133 | 0.98541 |
LOF | 1 | 0.01500 | 0.01089 | 0.00585 | 0.00170 | 0.02215 | 0.01807 | 0.51514 |
LOF | 100 | 0.00000 | -0.00417 | 0.01275 | 0.00862 | 0.03463 | 0.03060 | 0.84894 |
SimplifiedLOF | 1 | 0.00000 | -0.00417 | 0.00484 | 0.00068 | 0.01392 | 0.00981 | 0.52548 |
SimplifiedLOF | 37 | 0.00000 | -0.00417 | 0.00810 | 0.00396 | 0.03056 | 0.02651 | 0.60359 |
SimplifiedLOF | 62 | 0.00000 | -0.00417 | 0.00866 | 0.00453 | 0.02565 | 0.02158 | 0.66796 |
LoOP | 5 | 0.02500 | 0.02093 | 0.00735 | 0.00321 | 0.02867 | 0.02462 | 0.56709 |
LoOP | 25 | 0.01500 | 0.01089 | 0.00926 | 0.00513 | 0.04198 | 0.03798 | 0.60272 |
LoOP | 62 | 0.00000 | -0.00417 | 0.01126 | 0.00713 | 0.03305 | 0.02901 | 0.70088 |
LoOP | 65 | 0.00000 | -0.00417 | 0.01124 | 0.00712 | 0.03372 | 0.02968 | 0.70313 |
ODIN | 64 | 0.04138 | 0.03738 | 0.01452 | 0.01040 | 0.05361 | 0.04966 | 0.67052 |
ODIN | 77 | 0.04433 | 0.04034 | 0.01463 | 0.01051 | 0.04955 | 0.04558 | 0.69974 |
ODIN | 100 | 0.03500 | 0.03097 | 0.01757 | 0.01347 | 0.04789 | 0.04392 | 0.80767 |
KDEOS | 37 | 0.05000 | 0.04603 | 0.00875 | 0.00462 | 0.05038 | 0.04641 | 0.54202 |
KDEOS | 68 | 0.03000 | 0.02595 | 0.00841 | 0.00427 | 0.05128 | 0.04732 | 0.60510 |
KDEOS | 70 | 0.04000 | 0.03599 | 0.00849 | 0.00435 | 0.05674 | 0.05280 | 0.60321 |
KDEOS | 73 | 0.05500 | 0.05106 | 0.00845 | 0.00431 | 0.05542 | 0.05147 | 0.60013 |
LDF | 4 | 0.01754 | 0.01344 | 0.00655 | 0.00240 | 0.02525 | 0.02118 | 0.55452 |
LDF | 90 | 0.00000 | -0.00417 | 0.02304 | 0.01896 | 0.09192 | 0.08813 | 0.87696 |
INFLO | 1 | 0.01000 | 0.00587 | 0.00586 | 0.00171 | 0.02471 | 0.02064 | 0.52189 |
INFLO | 11 | 0.00000 | -0.00417 | 0.00729 | 0.00314 | 0.03302 | 0.02899 | 0.58058 |
INFLO | 56 | 0.00000 | -0.00417 | 0.00966 | 0.00552 | 0.02913 | 0.02507 | 0.70334 |
COF | 5 | 0.02500 | 0.02093 | 0.00691 | 0.00277 | 0.02801 | 0.02395 | 0.54261 |
COF | 58 | 0.00000 | -0.00417 | 0.00971 | 0.00558 | 0.03712 | 0.03310 | 0.66602 |
COF | 67 | 0.00000 | -0.00417 | 0.00977 | 0.00563 | 0.03546 | 0.03144 | 0.67006 |
Plots
Normalized, without duplicates, 1-of-n encoding
This version contains 79 attributes, 48113 objects, 200 outliers (0.42%)
Download raw algorithm results (330.4 MB) Download raw algorithm evaluation table (63.3 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 | 83 | 0.44000 | 0.43766 | 0.36243 | 0.35976 | 0.51757 | 0.51556 | 0.99030 |
KNN | 84 | 0.44000 | 0.43766 | 0.47318 | 0.47098 | 0.54671 | 0.54482 | 0.99044 |
KNN | 86 | 0.44000 | 0.43766 | 0.51395 | 0.51192 | 0.56738 | 0.56557 | 0.99041 |
KNN | 90 | 0.44000 | 0.43766 | 0.53886 | 0.53693 | 0.56738 | 0.56557 | 0.99034 |
KNNW | 4 | 0.21000 | 0.20670 | 0.08389 | 0.08006 | 0.22222 | 0.21898 | 0.84409 |
KNNW | 100 | 0.13500 | 0.13139 | 0.13046 | 0.12683 | 0.26623 | 0.26317 | 0.98538 |
LOF | 1 | 0.02500 | 0.02093 | 0.00632 | 0.00217 | 0.03488 | 0.03086 | 0.51100 |
LOF | 15 | 0.00000 | -0.00417 | 0.01037 | 0.00624 | 0.05439 | 0.05045 | 0.59062 |
LOF | 100 | 0.00000 | -0.00417 | 0.01117 | 0.00704 | 0.03319 | 0.02915 | 0.81301 |
SimplifiedLOF | 6 | 0.01500 | 0.01089 | 0.00971 | 0.00557 | 0.04348 | 0.03949 | 0.59506 |
SimplifiedLOF | 18 | 0.00000 | -0.00417 | 0.01049 | 0.00636 | 0.04981 | 0.04584 | 0.61206 |
SimplifiedLOF | 26 | 0.00000 | -0.00417 | 0.01060 | 0.00647 | 0.04734 | 0.04337 | 0.60295 |
SimplifiedLOF | 53 | 0.00000 | -0.00417 | 0.01045 | 0.00632 | 0.03130 | 0.02725 | 0.69030 |
LoOP | 5 | 0.04000 | 0.03599 | 0.00859 | 0.00446 | 0.04420 | 0.04021 | 0.56714 |
LoOP | 26 | 0.03000 | 0.02595 | 0.01341 | 0.00929 | 0.05977 | 0.05585 | 0.62965 |
LoOP | 64 | 0.00000 | -0.00417 | 0.01174 | 0.00761 | 0.03522 | 0.03119 | 0.70759 |
ODIN | 50 | 0.03732 | 0.03330 | 0.01436 | 0.01024 | 0.06320 | 0.05929 | 0.68842 |
ODIN | 61 | 0.04091 | 0.03691 | 0.01473 | 0.01062 | 0.06034 | 0.05642 | 0.67660 |
ODIN | 63 | 0.03828 | 0.03427 | 0.01490 | 0.01079 | 0.06100 | 0.05708 | 0.67395 |
ODIN | 100 | 0.03645 | 0.03243 | 0.01350 | 0.00938 | 0.04291 | 0.03892 | 0.78560 |
KDEOS | 36 | 0.05000 | 0.04603 | 0.01168 | 0.00756 | 0.05155 | 0.04759 | 0.56170 |
KDEOS | 37 | 0.05000 | 0.04603 | 0.01209 | 0.00796 | 0.05319 | 0.04924 | 0.56531 |
KDEOS | 43 | 0.05000 | 0.04603 | 0.01022 | 0.00609 | 0.06116 | 0.05724 | 0.59333 |
KDEOS | 69 | 0.04000 | 0.03599 | 0.00940 | 0.00527 | 0.05505 | 0.05110 | 0.63055 |
LDF | 82 | 0.03635 | 0.03233 | 0.02612 | 0.02206 | 0.06795 | 0.06406 | 0.86298 |
LDF | 96 | 0.03679 | 0.03277 | 0.02661 | 0.02255 | 0.06849 | 0.06460 | 0.85326 |
LDF | 97 | 0.03631 | 0.03229 | 0.02679 | 0.02273 | 0.06780 | 0.06391 | 0.85473 |
INFLO | 1 | 0.02000 | 0.01591 | 0.00617 | 0.00202 | 0.03422 | 0.03019 | 0.50999 |
INFLO | 23 | 0.00000 | -0.00417 | 0.01138 | 0.00725 | 0.05530 | 0.05136 | 0.64183 |
INFLO | 24 | 0.00000 | -0.00417 | 0.01140 | 0.00727 | 0.05458 | 0.05063 | 0.64427 |
INFLO | 50 | 0.00000 | -0.00417 | 0.00947 | 0.00533 | 0.03256 | 0.02852 | 0.67834 |
COF | 5 | 0.03500 | 0.03097 | 0.00820 | 0.00406 | 0.04107 | 0.03706 | 0.55380 |
COF | 25 | 0.02500 | 0.02093 | 0.01195 | 0.00782 | 0.05344 | 0.04948 | 0.56228 |
COF | 72 | 0.00000 | -0.00417 | 0.01137 | 0.00725 | 0.05618 | 0.05224 | 0.66425 |
COF | 75 | 0.00000 | -0.00417 | 0.01119 | 0.00706 | 0.05807 | 0.05414 | 0.64819 |
Plots
Normalized, without duplicates, categorial attributes removed
This version contains 40 attributes, 48113 objects, 200 outliers (0.42%)
Download raw algorithm results (333.2 MB) Download raw algorithm evaluation table (62.1 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 | 80 | 0.43500 | 0.43264 | 0.25543 | 0.25232 | 0.47748 | 0.47530 | 0.98910 |
KNN | 89 | 0.43500 | 0.43264 | 0.54723 | 0.54534 | 0.56140 | 0.55957 | 0.98974 |
KNN | 92 | 0.43500 | 0.43264 | 0.54939 | 0.54751 | 0.56940 | 0.56760 | 0.98967 |
KNN | 94 | 0.43500 | 0.43264 | 0.54901 | 0.54713 | 0.57143 | 0.56964 | 0.98963 |
KNNW | 19 | 0.21500 | 0.21172 | 0.08512 | 0.08130 | 0.22407 | 0.22083 | 0.91802 |
KNNW | 100 | 0.17500 | 0.17156 | 0.14322 | 0.13964 | 0.29428 | 0.29133 | 0.98541 |
LOF | 1 | 0.01500 | 0.01089 | 0.00585 | 0.00170 | 0.02215 | 0.01807 | 0.51514 |
LOF | 100 | 0.00000 | -0.00417 | 0.01275 | 0.00862 | 0.03463 | 0.03060 | 0.84894 |
SimplifiedLOF | 1 | 0.00000 | -0.00417 | 0.00484 | 0.00068 | 0.01392 | 0.00981 | 0.52548 |
SimplifiedLOF | 37 | 0.00000 | -0.00417 | 0.00810 | 0.00396 | 0.03056 | 0.02651 | 0.60359 |
SimplifiedLOF | 62 | 0.00000 | -0.00417 | 0.00866 | 0.00453 | 0.02565 | 0.02158 | 0.66796 |
LoOP | 5 | 0.02500 | 0.02093 | 0.00735 | 0.00321 | 0.02867 | 0.02462 | 0.56709 |
LoOP | 25 | 0.01500 | 0.01089 | 0.00926 | 0.00513 | 0.04198 | 0.03798 | 0.60272 |
LoOP | 62 | 0.00000 | -0.00417 | 0.01126 | 0.00713 | 0.03305 | 0.02901 | 0.70088 |
LoOP | 65 | 0.00000 | -0.00417 | 0.01124 | 0.00712 | 0.03372 | 0.02968 | 0.70313 |
ODIN | 64 | 0.04138 | 0.03738 | 0.01452 | 0.01040 | 0.05361 | 0.04966 | 0.67052 |
ODIN | 77 | 0.04433 | 0.04034 | 0.01463 | 0.01051 | 0.04955 | 0.04558 | 0.69974 |
ODIN | 100 | 0.03500 | 0.03097 | 0.01757 | 0.01347 | 0.04789 | 0.04392 | 0.80767 |
KDEOS | 37 | 0.05000 | 0.04603 | 0.00875 | 0.00462 | 0.05038 | 0.04641 | 0.54202 |
KDEOS | 68 | 0.03000 | 0.02595 | 0.00841 | 0.00427 | 0.05128 | 0.04732 | 0.60510 |
KDEOS | 70 | 0.04000 | 0.03599 | 0.00849 | 0.00435 | 0.05674 | 0.05280 | 0.60321 |
KDEOS | 73 | 0.05500 | 0.05106 | 0.00845 | 0.00431 | 0.05542 | 0.05147 | 0.60013 |
LDF | 4 | 0.01754 | 0.01344 | 0.00655 | 0.00240 | 0.02525 | 0.02118 | 0.55452 |
LDF | 90 | 0.00000 | -0.00417 | 0.02304 | 0.01896 | 0.09192 | 0.08813 | 0.87696 |
INFLO | 1 | 0.01000 | 0.00587 | 0.00586 | 0.00171 | 0.02471 | 0.02064 | 0.52189 |
INFLO | 11 | 0.00000 | -0.00417 | 0.00729 | 0.00314 | 0.03302 | 0.02899 | 0.58058 |
INFLO | 56 | 0.00000 | -0.00417 | 0.00966 | 0.00552 | 0.02913 | 0.02507 | 0.70334 |
COF | 5 | 0.02500 | 0.02093 | 0.00691 | 0.00277 | 0.02801 | 0.02395 | 0.54261 |
COF | 58 | 0.00000 | -0.00417 | 0.00971 | 0.00558 | 0.03712 | 0.03310 | 0.66602 |
COF | 67 | 0.00000 | -0.00417 | 0.00977 | 0.00563 | 0.03546 | 0.03144 | 0.67006 |
Plots
Normalized, duplicates, idf weighted categorial attributes
This version contains 41 attributes, 60839 objects, 246 outliers (0.40%)
Download raw algorithm results (349.2 MB) Download raw algorithm evaluation table (63.1 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 | 83 | 0.41463 | 0.41226 | 0.28655 | 0.28366 | 0.44712 | 0.44487 | 0.99022 |
KNN | 88 | 0.40650 | 0.40409 | 0.49325 | 0.49119 | 0.50299 | 0.50098 | 0.99045 |
KNN | 90 | 0.40244 | 0.40001 | 0.50616 | 0.50415 | 0.50755 | 0.50555 | 0.99039 |
KNN | 91 | 0.40244 | 0.40001 | 0.50510 | 0.50309 | 0.50909 | 0.50710 | 0.99035 |
KNNW | 16 | 0.21951 | 0.21634 | 0.07660 | 0.07285 | 0.22626 | 0.22312 | 0.84059 |
KNNW | 100 | 0.19919 | 0.19594 | 0.13598 | 0.13247 | 0.23494 | 0.23183 | 0.98353 |
LOF | 15 | 0.02439 | 0.02043 | 0.00956 | 0.00554 | 0.04635 | 0.04248 | 0.60209 |
LOF | 100 | 0.00000 | -0.00406 | 0.01197 | 0.00796 | 0.03204 | 0.02811 | 0.83750 |
SimplifiedLOF | 2 | 0.03198 | 0.02805 | 0.00713 | 0.00310 | 0.03729 | 0.03338 | 0.53727 |
SimplifiedLOF | 18 | 0.01917 | 0.01519 | 0.00946 | 0.00544 | 0.04063 | 0.03674 | 0.60936 |
SimplifiedLOF | 84 | 0.00000 | -0.00406 | 0.00719 | 0.00316 | 0.02607 | 0.02212 | 0.62948 |
LoOP | 18 | 0.02846 | 0.02451 | 0.01080 | 0.00679 | 0.04888 | 0.04502 | 0.61388 |
LoOP | 34 | 0.02033 | 0.01635 | 0.01278 | 0.00878 | 0.04918 | 0.04532 | 0.68076 |
LoOP | 43 | 0.02033 | 0.01635 | 0.01284 | 0.00883 | 0.05594 | 0.05211 | 0.65229 |
LoOP | 47 | 0.02033 | 0.01635 | 0.01287 | 0.00887 | 0.05377 | 0.04993 | 0.65246 |
ODIN | 71 | 0.04878 | 0.04492 | 0.01571 | 0.01172 | 0.06378 | 0.05998 | 0.68528 |
ODIN | 77 | 0.04388 | 0.04000 | 0.01573 | 0.01173 | 0.06676 | 0.06297 | 0.70657 |
ODIN | 100 | 0.02846 | 0.02451 | 0.01767 | 0.01368 | 0.06172 | 0.05791 | 0.80962 |
KDEOS | 40 | 0.04472 | 0.04084 | 0.01023 | 0.00621 | 0.05051 | 0.04665 | 0.59015 |
KDEOS | 44 | 0.04472 | 0.04084 | 0.01060 | 0.00659 | 0.04785 | 0.04398 | 0.60182 |
KDEOS | 50 | 0.02846 | 0.02451 | 0.00874 | 0.00471 | 0.03819 | 0.03428 | 0.61512 |
LDF | 19 | 0.02378 | 0.01981 | 0.00853 | 0.00450 | 0.03589 | 0.03198 | 0.57009 |
LDF | 93 | 0.00000 | -0.00406 | 0.02181 | 0.01784 | 0.06433 | 0.06053 | 0.88800 |
LDF | 94 | 0.00000 | -0.00406 | 0.02139 | 0.01742 | 0.07033 | 0.06656 | 0.88543 |
INFLO | 15 | 0.02439 | 0.02043 | 0.00923 | 0.00521 | 0.04418 | 0.04030 | 0.58808 |
INFLO | 20 | 0.00000 | -0.00406 | 0.00940 | 0.00538 | 0.04629 | 0.04242 | 0.61832 |
INFLO | 22 | 0.00000 | -0.00406 | 0.00976 | 0.00574 | 0.04590 | 0.04202 | 0.62589 |
INFLO | 100 | 0.00000 | -0.00406 | 0.00695 | 0.00292 | 0.02313 | 0.01916 | 0.64850 |
COF | 5 | 0.02846 | 0.02451 | 0.00669 | 0.00266 | 0.02917 | 0.02523 | 0.54745 |
COF | 22 | 0.02439 | 0.02043 | 0.00979 | 0.00577 | 0.04664 | 0.04277 | 0.59421 |
COF | 35 | 0.01626 | 0.01227 | 0.01077 | 0.00675 | 0.03796 | 0.03405 | 0.62559 |
Plots
Normalized, duplicates, 1-of-n encoding
This version contains 79 attributes, 60839 objects, 246 outliers (0.40%)
Download raw algorithm results (346.3 MB) Download raw algorithm evaluation table (64.3 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 | 85 | 0.38618 | 0.38369 | 0.36786 | 0.36529 | 0.48159 | 0.47948 | 0.98982 |
KNN | 86 | 0.39024 | 0.38777 | 0.36719 | 0.36462 | 0.48159 | 0.47948 | 0.98979 |
KNN | 88 | 0.39024 | 0.38777 | 0.48118 | 0.47908 | 0.50909 | 0.50710 | 0.98972 |
KNN | 90 | 0.39024 | 0.38777 | 0.48217 | 0.48006 | 0.50909 | 0.50710 | 0.98966 |
KNNW | 8 | 0.20325 | 0.20002 | 0.07680 | 0.07305 | 0.20971 | 0.20650 | 0.81234 |
KNNW | 19 | 0.17073 | 0.16736 | 0.08079 | 0.07706 | 0.23847 | 0.23538 | 0.87528 |
KNNW | 100 | 0.15447 | 0.15104 | 0.11989 | 0.11632 | 0.23577 | 0.23267 | 0.98273 |
LOF | 13 | 0.01626 | 0.01227 | 0.01043 | 0.00641 | 0.05441 | 0.05058 | 0.58504 |
LOF | 16 | 0.01626 | 0.01227 | 0.01119 | 0.00718 | 0.05380 | 0.04996 | 0.62139 |
LOF | 100 | 0.00000 | -0.00406 | 0.01091 | 0.00689 | 0.03139 | 0.02745 | 0.82330 |
SimplifiedLOF | 1 | 0.02662 | 0.02266 | 0.00640 | 0.00237 | 0.03627 | 0.03236 | 0.52355 |
SimplifiedLOF | 16 | 0.01626 | 0.01227 | 0.01029 | 0.00627 | 0.04762 | 0.04375 | 0.60858 |
SimplifiedLOF | 34 | 0.00000 | -0.00406 | 0.00966 | 0.00564 | 0.04012 | 0.03622 | 0.62814 |
LoOP | 20 | 0.03659 | 0.03267 | 0.01192 | 0.00791 | 0.05372 | 0.04988 | 0.63248 |
LoOP | 34 | 0.02033 | 0.01635 | 0.01445 | 0.01045 | 0.06088 | 0.05706 | 0.68726 |
LoOP | 41 | 0.01626 | 0.01227 | 0.01392 | 0.00992 | 0.06434 | 0.06054 | 0.65501 |
ODIN | 53 | 0.03363 | 0.02971 | 0.01461 | 0.01061 | 0.06073 | 0.05692 | 0.64690 |
ODIN | 61 | 0.04201 | 0.03812 | 0.01524 | 0.01124 | 0.05855 | 0.05473 | 0.65985 |
ODIN | 62 | 0.04254 | 0.03865 | 0.01503 | 0.01104 | 0.05778 | 0.05396 | 0.65955 |
ODIN | 100 | 0.02422 | 0.02026 | 0.01327 | 0.00926 | 0.04944 | 0.04558 | 0.78924 |
KDEOS | 43 | 0.04878 | 0.04492 | 0.01244 | 0.00843 | 0.05728 | 0.05345 | 0.60307 |
KDEOS | 50 | 0.03659 | 0.03267 | 0.01130 | 0.00728 | 0.05336 | 0.04952 | 0.61999 |
KDEOS | 75 | 0.05285 | 0.04900 | 0.01049 | 0.00648 | 0.05941 | 0.05559 | 0.56306 |
KDEOS | 76 | 0.05691 | 0.05308 | 0.01031 | 0.00630 | 0.05833 | 0.05451 | 0.56158 |
LDF | 87 | 0.03692 | 0.03301 | 0.02674 | 0.02278 | 0.06834 | 0.06456 | 0.88959 |
INFLO | 13 | 0.01626 | 0.01227 | 0.00970 | 0.00568 | 0.04954 | 0.04569 | 0.58077 |
INFLO | 21 | 0.00000 | -0.00406 | 0.01103 | 0.00702 | 0.05288 | 0.04904 | 0.64316 |
INFLO | 25 | 0.00000 | -0.00406 | 0.01095 | 0.00693 | 0.05044 | 0.04658 | 0.64848 |
INFLO | 27 | 0.00000 | -0.00406 | 0.01114 | 0.00712 | 0.05155 | 0.04770 | 0.64641 |
COF | 5 | 0.02846 | 0.02451 | 0.00680 | 0.00276 | 0.03285 | 0.02892 | 0.54372 |
COF | 35 | 0.00813 | 0.00410 | 0.01278 | 0.00877 | 0.06275 | 0.05894 | 0.61605 |
COF | 36 | 0.00813 | 0.00410 | 0.01282 | 0.00881 | 0.06184 | 0.05803 | 0.61160 |
COF | 60 | 0.00813 | 0.00410 | 0.01136 | 0.00735 | 0.06996 | 0.06619 | 0.53901 |
Plots
Normalized, duplicates, categorial attributes removed
This version contains 38 attributes, 60839 objects, 246 outliers (0.40%)
Download raw algorithm results (349.3 MB) Download raw algorithm evaluation table (63.9 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 | 83 | 0.40650 | 0.40409 | 0.29725 | 0.29440 | 0.45885 | 0.45666 | 0.98107 |
KNN | 92 | 0.39024 | 0.38777 | 0.48047 | 0.47836 | 0.50755 | 0.50555 | 0.98304 |
KNN | 95 | 0.38618 | 0.38369 | 0.48015 | 0.47803 | 0.50909 | 0.50710 | 0.98316 |
KNN | 100 | 0.38618 | 0.38369 | 0.47647 | 0.47435 | 0.50909 | 0.50710 | 0.98317 |
KNNW | 51 | 0.18293 | 0.17961 | 0.07456 | 0.07080 | 0.19324 | 0.18996 | 0.93851 |
KNNW | 100 | 0.17480 | 0.17145 | 0.12226 | 0.11870 | 0.24296 | 0.23989 | 0.97406 |
LOF | 15 | 0.01678 | 0.01279 | 0.00765 | 0.00362 | 0.03150 | 0.02757 | 0.57863 |
LOF | 39 | 0.00000 | -0.00406 | 0.00786 | 0.00383 | 0.03298 | 0.02906 | 0.58718 |
LOF | 100 | 0.00000 | -0.00406 | 0.01041 | 0.00640 | 0.03122 | 0.02729 | 0.81199 |
SimplifiedLOF | 2 | 0.02762 | 0.02368 | 0.00676 | 0.00273 | 0.03289 | 0.02897 | 0.53473 |
SimplifiedLOF | 6 | 0.01303 | 0.00902 | 0.00663 | 0.00260 | 0.03550 | 0.03159 | 0.54504 |
SimplifiedLOF | 34 | 0.00000 | -0.00406 | 0.00785 | 0.00383 | 0.02986 | 0.02592 | 0.61273 |
LoOP | 24 | 0.03659 | 0.03267 | 0.00961 | 0.00559 | 0.03838 | 0.03448 | 0.62219 |
LoOP | 34 | 0.02846 | 0.02451 | 0.01082 | 0.00680 | 0.03706 | 0.03315 | 0.67287 |
LoOP | 56 | 0.01220 | 0.00818 | 0.01102 | 0.00700 | 0.04128 | 0.03738 | 0.64492 |
LoOP | 58 | 0.01220 | 0.00818 | 0.01105 | 0.00704 | 0.04029 | 0.03640 | 0.64621 |
ODIN | 52 | 0.04065 | 0.03676 | 0.01099 | 0.00698 | 0.04073 | 0.03684 | 0.66816 |
ODIN | 100 | 0.03080 | 0.02687 | 0.01574 | 0.01175 | 0.05236 | 0.04851 | 0.80159 |
KDEOS | 46 | 0.04065 | 0.03676 | 0.01043 | 0.00641 | 0.06082 | 0.05701 | 0.56394 |
KDEOS | 50 | 0.04472 | 0.04084 | 0.00973 | 0.00571 | 0.04921 | 0.04535 | 0.58472 |
KDEOS | 59 | 0.05691 | 0.05308 | 0.01084 | 0.00682 | 0.06000 | 0.05618 | 0.56994 |
KDEOS | 60 | 0.05691 | 0.05308 | 0.01096 | 0.00695 | 0.06048 | 0.05667 | 0.57063 |
LDF | 5 | 0.02385 | 0.01989 | 0.00562 | 0.00159 | 0.03287 | 0.02894 | 0.48184 |
LDF | 97 | 0.00117 | -0.00289 | 0.02406 | 0.02009 | 0.07714 | 0.07339 | 0.88444 |
LDF | 100 | 0.00114 | -0.00292 | 0.02380 | 0.01984 | 0.07390 | 0.07014 | 0.88705 |
INFLO | 15 | 0.01678 | 0.01279 | 0.00751 | 0.00348 | 0.03049 | 0.02655 | 0.58353 |
INFLO | 25 | 0.00000 | -0.00406 | 0.00845 | 0.00443 | 0.03560 | 0.03168 | 0.63354 |
INFLO | 27 | 0.00000 | -0.00406 | 0.00847 | 0.00445 | 0.03550 | 0.03159 | 0.62853 |
INFLO | 100 | 0.00000 | -0.00406 | 0.00672 | 0.00269 | 0.02416 | 0.02020 | 0.64210 |
COF | 23 | 0.02439 | 0.02043 | 0.00712 | 0.00309 | 0.02592 | 0.02196 | 0.54562 |
COF | 35 | 0.01220 | 0.00818 | 0.00876 | 0.00473 | 0.03607 | 0.03216 | 0.60366 |
COF | 64 | 0.01220 | 0.00818 | 0.00809 | 0.00406 | 0.04145 | 0.03756 | 0.50673 |
Plots
Not normalized, without duplicates, idf weighted categorial attributes
This version contains 40 attributes, 48113 objects, 200 outliers (0.42%)
Download raw algorithm results (328.2 MB) Download raw algorithm evaluation table (58.6 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 | 0.09500 | 0.09122 | 0.01592 | 0.01181 | 0.09645 | 0.09268 | 0.33270 |
KNN | 100 | 0.01500 | 0.01089 | 0.00992 | 0.00579 | 0.03974 | 0.03573 | 0.61979 |
KNNW | 1 | 0.07000 | 0.06612 | 0.01692 | 0.01282 | 0.09218 | 0.08839 | 0.33501 |
KNNW | 2 | 0.09000 | 0.08620 | 0.01632 | 0.01221 | 0.09476 | 0.09098 | 0.33111 |
KNNW | 3 | 0.09000 | 0.08620 | 0.01577 | 0.01166 | 0.09574 | 0.09197 | 0.35409 |
KNNW | 100 | 0.01500 | 0.01089 | 0.00930 | 0.00516 | 0.05022 | 0.04626 | 0.59804 |
LOF | 11 | 0.10500 | 0.10126 | 0.03606 | 0.03204 | 0.12830 | 0.12466 | 0.57590 |
LOF | 13 | 0.11000 | 0.10628 | 0.03558 | 0.03156 | 0.12800 | 0.12436 | 0.59344 |
LOF | 14 | 0.10000 | 0.09624 | 0.03543 | 0.03140 | 0.13115 | 0.12752 | 0.59811 |
LOF | 100 | 0.07000 | 0.06612 | 0.01548 | 0.01137 | 0.08387 | 0.08005 | 0.64777 |
SimplifiedLOF | 12 | 0.10500 | 0.10126 | 0.03541 | 0.03138 | 0.13846 | 0.13487 | 0.56678 |
SimplifiedLOF | 15 | 0.12000 | 0.11633 | 0.03687 | 0.03285 | 0.12903 | 0.12540 | 0.57943 |
SimplifiedLOF | 16 | 0.12000 | 0.11633 | 0.03707 | 0.03305 | 0.12955 | 0.12592 | 0.58588 |
SimplifiedLOF | 25 | 0.11500 | 0.11131 | 0.03159 | 0.02755 | 0.12167 | 0.11801 | 0.60154 |
LoOP | 33 | 0.11500 | 0.11131 | 0.03428 | 0.03025 | 0.12571 | 0.12206 | 0.60653 |
LoOP | 39 | 0.11500 | 0.11131 | 0.03166 | 0.02762 | 0.13907 | 0.13548 | 0.61047 |
LoOP | 41 | 0.12000 | 0.11633 | 0.03200 | 0.02796 | 0.13245 | 0.12883 | 0.60491 |
LoOP | 100 | 0.08000 | 0.07616 | 0.02294 | 0.01887 | 0.09677 | 0.09300 | 0.61454 |
ODIN | 53 | 0.12000 | 0.11633 | 0.02305 | 0.01897 | 0.12000 | 0.11633 | 0.57948 |
ODIN | 69 | 0.10792 | 0.10420 | 0.02653 | 0.02247 | 0.12008 | 0.11641 | 0.61668 |
ODIN | 100 | 0.10812 | 0.10440 | 0.02757 | 0.02351 | 0.11724 | 0.11356 | 0.66154 |
KDEOS | 4 | 0.03500 | 0.03097 | 0.00820 | 0.00406 | 0.03911 | 0.03510 | 0.49466 |
KDEOS | 36 | 0.00500 | 0.00085 | 0.00592 | 0.00177 | 0.02465 | 0.02058 | 0.54341 |
KDEOS | 69 | 0.02000 | 0.01591 | 0.01237 | 0.00824 | 0.02640 | 0.02234 | 0.47988 |
LDF | 10 | 0.10000 | 0.09624 | 0.03550 | 0.03148 | 0.12167 | 0.11801 | 0.56949 |
LDF | 12 | 0.10000 | 0.09624 | 0.03094 | 0.02689 | 0.13333 | 0.12972 | 0.57005 |
LDF | 16 | 0.11500 | 0.11131 | 0.02782 | 0.02376 | 0.11558 | 0.11189 | 0.56735 |
LDF | 100 | 0.03851 | 0.03450 | 0.01783 | 0.01373 | 0.05469 | 0.05074 | 0.83457 |
INFLO | 13 | 0.11500 | 0.11131 | 0.03838 | 0.03437 | 0.12969 | 0.12606 | 0.55872 |
INFLO | 24 | 0.11000 | 0.10628 | 0.03939 | 0.03538 | 0.13688 | 0.13328 | 0.62368 |
INFLO | 32 | 0.10000 | 0.09624 | 0.03430 | 0.03027 | 0.12048 | 0.11681 | 0.63026 |
COF | 5 | 0.07000 | 0.06612 | 0.02622 | 0.02216 | 0.07514 | 0.07128 | 0.55921 |
COF | 12 | 0.09500 | 0.09122 | 0.04441 | 0.04042 | 0.10256 | 0.09882 | 0.54778 |
COF | 18 | 0.10000 | 0.09624 | 0.03926 | 0.03525 | 0.10682 | 0.10310 | 0.54040 |
COF | 25 | 0.09500 | 0.09122 | 0.03221 | 0.02817 | 0.12186 | 0.11820 | 0.49243 |
Plots
Not normalized, without duplicates, 1-of-n encoding
This version contains 79 attributes, 48113 objects, 200 outliers (0.42%)
Download raw algorithm results (326.9 MB) Download raw algorithm evaluation table (60.4 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 | 0.09500 | 0.09122 | 0.01590 | 0.01179 | 0.09645 | 0.09268 | 0.32708 |
KNN | 100 | 0.01500 | 0.01089 | 0.00990 | 0.00577 | 0.03974 | 0.03573 | 0.61779 |
KNNW | 1 | 0.07000 | 0.06612 | 0.01690 | 0.01279 | 0.09218 | 0.08839 | 0.32907 |
KNNW | 2 | 0.09000 | 0.08620 | 0.01629 | 0.01219 | 0.09476 | 0.09098 | 0.32527 |
KNNW | 3 | 0.09000 | 0.08620 | 0.01575 | 0.01164 | 0.09574 | 0.09197 | 0.34863 |
KNNW | 100 | 0.01500 | 0.01089 | 0.00928 | 0.00514 | 0.05022 | 0.04626 | 0.59498 |
LOF | 10 | 0.10500 | 0.10126 | 0.03505 | 0.03103 | 0.12879 | 0.12515 | 0.56003 |
LOF | 11 | 0.10500 | 0.10126 | 0.03617 | 0.03214 | 0.12928 | 0.12564 | 0.57123 |
LOF | 14 | 0.10000 | 0.09624 | 0.03550 | 0.03148 | 0.13061 | 0.12698 | 0.60367 |
LOF | 100 | 0.07000 | 0.06612 | 0.01543 | 0.01132 | 0.08387 | 0.08005 | 0.64623 |
SimplifiedLOF | 12 | 0.10500 | 0.10126 | 0.03466 | 0.03063 | 0.13793 | 0.13433 | 0.55961 |
SimplifiedLOF | 15 | 0.12000 | 0.11633 | 0.03659 | 0.03257 | 0.12928 | 0.12564 | 0.57580 |
SimplifiedLOF | 16 | 0.12000 | 0.11633 | 0.03678 | 0.03276 | 0.12979 | 0.12616 | 0.58092 |
SimplifiedLOF | 29 | 0.11000 | 0.10628 | 0.03161 | 0.02757 | 0.12371 | 0.12005 | 0.60012 |
LoOP | 33 | 0.11500 | 0.11131 | 0.03422 | 0.03019 | 0.12536 | 0.12171 | 0.60910 |
LoOP | 39 | 0.11500 | 0.11131 | 0.03165 | 0.02761 | 0.13907 | 0.13548 | 0.61018 |
LoOP | 40 | 0.11500 | 0.11131 | 0.03185 | 0.02780 | 0.13378 | 0.13016 | 0.61185 |
LoOP | 41 | 0.12000 | 0.11633 | 0.03203 | 0.02798 | 0.13245 | 0.12883 | 0.61134 |
ODIN | 53 | 0.12000 | 0.11633 | 0.02303 | 0.01895 | 0.12000 | 0.11633 | 0.57582 |
ODIN | 69 | 0.10778 | 0.10405 | 0.02647 | 0.02240 | 0.12008 | 0.11641 | 0.61385 |
ODIN | 100 | 0.10661 | 0.10288 | 0.02742 | 0.02336 | 0.11724 | 0.11356 | 0.65799 |
KDEOS | 12 | 0.03500 | 0.03097 | 0.00730 | 0.00316 | 0.03825 | 0.03424 | 0.51336 |
KDEOS | 36 | 0.00500 | 0.00085 | 0.00583 | 0.00168 | 0.02452 | 0.02045 | 0.54237 |
KDEOS | 69 | 0.02000 | 0.01591 | 0.01234 | 0.00821 | 0.02640 | 0.02234 | 0.47891 |
LDF | 9 | 0.05185 | 0.04789 | 0.01400 | 0.00988 | 0.06942 | 0.06554 | 0.56105 |
LDF | 31 | 0.05000 | 0.04603 | 0.01472 | 0.01061 | 0.07436 | 0.07050 | 0.60774 |
LDF | 87 | 0.01653 | 0.01242 | 0.01626 | 0.01216 | 0.04612 | 0.04214 | 0.82400 |
LDF | 99 | 0.01932 | 0.01523 | 0.01727 | 0.01317 | 0.05377 | 0.04982 | 0.81754 |
INFLO | 13 | 0.11500 | 0.11131 | 0.03874 | 0.03473 | 0.12969 | 0.12606 | 0.56319 |
INFLO | 24 | 0.11000 | 0.10628 | 0.03952 | 0.03552 | 0.13636 | 0.13276 | 0.63022 |
INFLO | 25 | 0.11000 | 0.10628 | 0.03959 | 0.03558 | 0.13333 | 0.12972 | 0.62505 |
INFLO | 32 | 0.10000 | 0.09624 | 0.03433 | 0.03030 | 0.12048 | 0.11681 | 0.63287 |
COF | 5 | 0.07000 | 0.06612 | 0.02624 | 0.02217 | 0.07514 | 0.07128 | 0.56094 |
COF | 12 | 0.09500 | 0.09122 | 0.04377 | 0.03978 | 0.10224 | 0.09849 | 0.54558 |
COF | 18 | 0.10000 | 0.09624 | 0.03841 | 0.03439 | 0.10588 | 0.10215 | 0.52514 |
COF | 25 | 0.09500 | 0.09122 | 0.03090 | 0.02686 | 0.11888 | 0.11520 | 0.47691 |
Plots
Not normalized, without duplicates, categorial attributes removed
This version contains 40 attributes, 48113 objects, 200 outliers (0.42%)
Download raw algorithm results (328.2 MB) Download raw algorithm evaluation table (58.9 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 | 0.09500 | 0.09122 | 0.01592 | 0.01181 | 0.09645 | 0.09268 | 0.33270 |
KNN | 100 | 0.01500 | 0.01089 | 0.00992 | 0.00579 | 0.03974 | 0.03573 | 0.61979 |
KNNW | 1 | 0.07000 | 0.06612 | 0.01692 | 0.01282 | 0.09218 | 0.08839 | 0.33501 |
KNNW | 2 | 0.09000 | 0.08620 | 0.01632 | 0.01221 | 0.09476 | 0.09098 | 0.33111 |
KNNW | 3 | 0.09000 | 0.08620 | 0.01577 | 0.01166 | 0.09574 | 0.09197 | 0.35409 |
KNNW | 100 | 0.01500 | 0.01089 | 0.00930 | 0.00516 | 0.05022 | 0.04626 | 0.59804 |
LOF | 11 | 0.10500 | 0.10126 | 0.03606 | 0.03204 | 0.12830 | 0.12466 | 0.57590 |
LOF | 13 | 0.11000 | 0.10628 | 0.03558 | 0.03156 | 0.12800 | 0.12436 | 0.59344 |
LOF | 14 | 0.10000 | 0.09624 | 0.03543 | 0.03140 | 0.13115 | 0.12752 | 0.59811 |
LOF | 100 | 0.07000 | 0.06612 | 0.01548 | 0.01137 | 0.08387 | 0.08005 | 0.64777 |
SimplifiedLOF | 12 | 0.10500 | 0.10126 | 0.03541 | 0.03138 | 0.13846 | 0.13487 | 0.56678 |
SimplifiedLOF | 15 | 0.12000 | 0.11633 | 0.03687 | 0.03285 | 0.12903 | 0.12540 | 0.57943 |
SimplifiedLOF | 16 | 0.12000 | 0.11633 | 0.03707 | 0.03305 | 0.12955 | 0.12592 | 0.58588 |
SimplifiedLOF | 25 | 0.11500 | 0.11131 | 0.03159 | 0.02755 | 0.12167 | 0.11801 | 0.60154 |
LoOP | 33 | 0.11500 | 0.11131 | 0.03428 | 0.03025 | 0.12571 | 0.12206 | 0.60653 |
LoOP | 39 | 0.11500 | 0.11131 | 0.03166 | 0.02762 | 0.13907 | 0.13548 | 0.61047 |
LoOP | 41 | 0.12000 | 0.11633 | 0.03200 | 0.02796 | 0.13245 | 0.12883 | 0.60491 |
LoOP | 100 | 0.08000 | 0.07616 | 0.02294 | 0.01887 | 0.09677 | 0.09300 | 0.61454 |
ODIN | 53 | 0.12000 | 0.11633 | 0.02305 | 0.01897 | 0.12000 | 0.11633 | 0.57948 |
ODIN | 69 | 0.10792 | 0.10420 | 0.02653 | 0.02247 | 0.12008 | 0.11641 | 0.61668 |
ODIN | 100 | 0.10812 | 0.10440 | 0.02757 | 0.02351 | 0.11724 | 0.11356 | 0.66154 |
KDEOS | 4 | 0.03500 | 0.03097 | 0.00820 | 0.00406 | 0.03911 | 0.03510 | 0.49466 |
KDEOS | 36 | 0.00500 | 0.00085 | 0.00592 | 0.00177 | 0.02465 | 0.02058 | 0.54341 |
KDEOS | 69 | 0.02000 | 0.01591 | 0.01237 | 0.00824 | 0.02640 | 0.02234 | 0.47988 |
LDF | 10 | 0.10000 | 0.09624 | 0.03550 | 0.03148 | 0.12167 | 0.11801 | 0.56949 |
LDF | 12 | 0.10000 | 0.09624 | 0.03094 | 0.02689 | 0.13333 | 0.12972 | 0.57005 |
LDF | 16 | 0.11500 | 0.11131 | 0.02782 | 0.02376 | 0.11558 | 0.11189 | 0.56735 |
LDF | 100 | 0.03851 | 0.03450 | 0.01783 | 0.01373 | 0.05469 | 0.05074 | 0.83457 |
INFLO | 13 | 0.11500 | 0.11131 | 0.03838 | 0.03437 | 0.12969 | 0.12606 | 0.55872 |
INFLO | 24 | 0.11000 | 0.10628 | 0.03939 | 0.03538 | 0.13688 | 0.13328 | 0.62368 |
INFLO | 32 | 0.10000 | 0.09624 | 0.03430 | 0.03027 | 0.12048 | 0.11681 | 0.63026 |
COF | 5 | 0.07000 | 0.06612 | 0.02622 | 0.02216 | 0.07514 | 0.07128 | 0.55921 |
COF | 12 | 0.09500 | 0.09122 | 0.04441 | 0.04042 | 0.10256 | 0.09882 | 0.54778 |
COF | 18 | 0.10000 | 0.09624 | 0.03926 | 0.03525 | 0.10682 | 0.10310 | 0.54040 |
COF | 25 | 0.09500 | 0.09122 | 0.03221 | 0.02817 | 0.12186 | 0.11820 | 0.49243 |
Plots
Not normalized, duplicates, idf weighted categorial attributes
This version contains 41 attributes, 60839 objects, 246 outliers (0.40%)
Download raw algorithm results (344.0 MB) Download raw algorithm evaluation table (63.1 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 | 0.07724 | 0.07349 | 0.01376 | 0.00976 | 0.08636 | 0.08265 | 0.41051 |
KNN | 100 | 0.01220 | 0.00818 | 0.01051 | 0.00649 | 0.03758 | 0.03367 | 0.71484 |
KNNW | 1 | 0.07724 | 0.07349 | 0.01450 | 0.01050 | 0.08440 | 0.08069 | 0.39280 |
KNNW | 3 | 0.07724 | 0.07349 | 0.01355 | 0.00954 | 0.08531 | 0.08159 | 0.41632 |
KNNW | 100 | 0.01220 | 0.00818 | 0.00777 | 0.00374 | 0.04683 | 0.04296 | 0.57918 |
LOF | 15 | 0.04956 | 0.04570 | 0.01847 | 0.01448 | 0.10571 | 0.10208 | 0.63858 |
LOF | 16 | 0.05199 | 0.04814 | 0.01914 | 0.01516 | 0.10423 | 0.10059 | 0.64326 |
LOF | 28 | 0.00000 | -0.00406 | 0.01209 | 0.00808 | 0.05870 | 0.05487 | 0.65797 |
SimplifiedLOF | 15 | 0.04956 | 0.04570 | 0.01742 | 0.01343 | 0.09987 | 0.09621 | 0.59230 |
SimplifiedLOF | 16 | 0.04816 | 0.04429 | 0.01778 | 0.01379 | 0.10437 | 0.10074 | 0.59092 |
SimplifiedLOF | 33 | 0.00000 | -0.00406 | 0.01228 | 0.00827 | 0.05867 | 0.05484 | 0.60617 |
LoOP | 59 | 0.11382 | 0.11022 | 0.02583 | 0.02188 | 0.11538 | 0.11179 | 0.64334 |
LoOP | 60 | 0.10976 | 0.10614 | 0.02613 | 0.02218 | 0.11613 | 0.11254 | 0.64537 |
LoOP | 63 | 0.10976 | 0.10614 | 0.02583 | 0.02188 | 0.11714 | 0.11355 | 0.64683 |
LoOP | 81 | 0.08537 | 0.08165 | 0.02361 | 0.01965 | 0.10985 | 0.10623 | 0.65046 |
ODIN | 24 | 0.03961 | 0.03571 | 0.01246 | 0.00845 | 0.05524 | 0.05141 | 0.66386 |
ODIN | 99 | 0.09593 | 0.09226 | 0.02405 | 0.02009 | 0.11175 | 0.10815 | 0.65440 |
ODIN | 100 | 0.09793 | 0.09427 | 0.02427 | 0.02031 | 0.11175 | 0.10815 | 0.65441 |
KDEOS | 3 | 0.04500 | 0.04112 | 0.01055 | 0.00653 | 0.06428 | 0.06048 | 0.50999 |
KDEOS | 4 | 0.04878 | 0.04492 | 0.00862 | 0.00459 | 0.05184 | 0.04799 | 0.51692 |
KDEOS | 45 | 0.01220 | 0.00818 | 0.00589 | 0.00185 | 0.01763 | 0.01364 | 0.55541 |
LDF | 24 | 0.09756 | 0.09390 | 0.02152 | 0.01755 | 0.10830 | 0.10468 | 0.63018 |
LDF | 37 | 0.09350 | 0.08982 | 0.02556 | 0.02161 | 0.10147 | 0.09783 | 0.65564 |
LDF | 53 | 0.09889 | 0.09523 | 0.02371 | 0.01974 | 0.10060 | 0.09695 | 0.68753 |
LDF | 67 | 0.04615 | 0.04228 | 0.01973 | 0.01575 | 0.07843 | 0.07469 | 0.69977 |
INFLO | 15 | 0.04956 | 0.04570 | 0.01839 | 0.01441 | 0.10884 | 0.10523 | 0.60564 |
INFLO | 16 | 0.05199 | 0.04814 | 0.01901 | 0.01503 | 0.10864 | 0.10502 | 0.60964 |
INFLO | 34 | 0.00000 | -0.00406 | 0.01150 | 0.00749 | 0.06221 | 0.05840 | 0.62712 |
COF | 7 | 0.05691 | 0.05308 | 0.01190 | 0.00789 | 0.06588 | 0.06209 | 0.55826 |
COF | 13 | 0.08537 | 0.08165 | 0.01755 | 0.01356 | 0.09634 | 0.09267 | 0.53981 |
COF | 18 | 0.08130 | 0.07757 | 0.01898 | 0.01499 | 0.09145 | 0.08776 | 0.55255 |
COF | 21 | 0.08537 | 0.08165 | 0.01822 | 0.01423 | 0.09810 | 0.09444 | 0.52419 |
Plots
Not normalized, duplicates, 1-of-n encoding
This version contains 79 attributes, 60839 objects, 246 outliers (0.40%)
Download raw algorithm results (342.4 MB) Download raw algorithm evaluation table (63.7 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 | 1 | 0.07724 | 0.07349 | 0.01374 | 0.00974 | 0.08636 | 0.08265 | 0.40625 |
KNN | 100 | 0.01220 | 0.00818 | 0.01049 | 0.00647 | 0.03758 | 0.03367 | 0.71323 |
KNNW | 1 | 0.07724 | 0.07349 | 0.01448 | 0.01048 | 0.08440 | 0.08069 | 0.38847 |
KNNW | 3 | 0.07724 | 0.07349 | 0.01353 | 0.00952 | 0.08531 | 0.08159 | 0.41185 |
KNNW | 100 | 0.01220 | 0.00818 | 0.00775 | 0.00372 | 0.04683 | 0.04296 | 0.57668 |
LOF | 15 | 0.04928 | 0.04542 | 0.01850 | 0.01451 | 0.10541 | 0.10178 | 0.64198 |
LOF | 16 | 0.05183 | 0.04798 | 0.01912 | 0.01514 | 0.10408 | 0.10044 | 0.64558 |
LOF | 28 | 0.00000 | -0.00406 | 0.01203 | 0.00802 | 0.05719 | 0.05336 | 0.66042 |
SimplifiedLOF | 15 | 0.04928 | 0.04542 | 0.01721 | 0.01322 | 0.09987 | 0.09621 | 0.58856 |
SimplifiedLOF | 16 | 0.04762 | 0.04375 | 0.01750 | 0.01351 | 0.10393 | 0.10029 | 0.58880 |
SimplifiedLOF | 33 | 0.00000 | -0.00406 | 0.01218 | 0.00816 | 0.05851 | 0.05469 | 0.60520 |
LoOP | 57 | 0.10569 | 0.10206 | 0.02411 | 0.02015 | 0.10989 | 0.10628 | 0.63918 |
LoOP | 61 | 0.10163 | 0.09798 | 0.02526 | 0.02130 | 0.11136 | 0.10775 | 0.64102 |
LoOP | 62 | 0.10163 | 0.09798 | 0.02525 | 0.02129 | 0.11236 | 0.10876 | 0.64005 |
LoOP | 81 | 0.07724 | 0.07349 | 0.02289 | 0.01892 | 0.10274 | 0.09910 | 0.64489 |
ODIN | 18 | 0.03555 | 0.03163 | 0.01051 | 0.00650 | 0.03936 | 0.03546 | 0.66218 |
ODIN | 60 | 0.08884 | 0.08514 | 0.02141 | 0.01744 | 0.11402 | 0.11042 | 0.60343 |
ODIN | 97 | 0.09673 | 0.09306 | 0.02431 | 0.02035 | 0.11132 | 0.10772 | 0.64815 |
ODIN | 100 | 0.09662 | 0.09295 | 0.02452 | 0.02056 | 0.11273 | 0.10913 | 0.65082 |
KDEOS | 3 | 0.04104 | 0.03715 | 0.00979 | 0.00577 | 0.06196 | 0.05815 | 0.51023 |
KDEOS | 19 | 0.02439 | 0.02043 | 0.00703 | 0.00299 | 0.03657 | 0.03266 | 0.55300 |
LDF | 61 | 0.03898 | 0.03507 | 0.01724 | 0.01325 | 0.06119 | 0.05738 | 0.69296 |
LDF | 75 | 0.04560 | 0.04172 | 0.01959 | 0.01561 | 0.07267 | 0.06890 | 0.68411 |
INFLO | 16 | 0.05183 | 0.04798 | 0.01900 | 0.01502 | 0.10833 | 0.10471 | 0.61195 |
INFLO | 34 | 0.00000 | -0.00406 | 0.01147 | 0.00745 | 0.06334 | 0.05954 | 0.62899 |
COF | 8 | 0.06098 | 0.05716 | 0.01244 | 0.00843 | 0.07179 | 0.06803 | 0.56746 |
COF | 18 | 0.08943 | 0.08573 | 0.01868 | 0.01470 | 0.09766 | 0.09399 | 0.55447 |
COF | 19 | 0.09756 | 0.09390 | 0.01865 | 0.01466 | 0.09959 | 0.09593 | 0.53336 |
COF | 20 | 0.09756 | 0.09390 | 0.01823 | 0.01424 | 0.10191 | 0.09826 | 0.51843 |
Plots
Not normalized, duplicates, categorial attributes removed
This version contains 38 attributes, 60839 objects, 246 outliers (0.40%)
Download raw algorithm results (344.0 MB) Download raw algorithm evaluation table (63.4 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 | 0.07724 | 0.07349 | 0.01374 | 0.00974 | 0.08636 | 0.08265 | 0.40573 |
KNN | 100 | 0.01220 | 0.00818 | 0.01049 | 0.00647 | 0.03758 | 0.03367 | 0.71306 |
KNNW | 1 | 0.07724 | 0.07349 | 0.01448 | 0.01048 | 0.08440 | 0.08069 | 0.38782 |
KNNW | 3 | 0.07724 | 0.07349 | 0.01352 | 0.00952 | 0.08531 | 0.08159 | 0.41148 |
KNNW | 100 | 0.01220 | 0.00818 | 0.00774 | 0.00372 | 0.04683 | 0.04296 | 0.57645 |
LOF | 15 | 0.04928 | 0.04542 | 0.01849 | 0.01451 | 0.10541 | 0.10178 | 0.64233 |
LOF | 16 | 0.05183 | 0.04798 | 0.01914 | 0.01516 | 0.10408 | 0.10044 | 0.64658 |
LOF | 28 | 0.00000 | -0.00406 | 0.01197 | 0.00796 | 0.05498 | 0.05115 | 0.66097 |
SimplifiedLOF | 15 | 0.04928 | 0.04542 | 0.01720 | 0.01321 | 0.09987 | 0.09621 | 0.58816 |
SimplifiedLOF | 16 | 0.04762 | 0.04375 | 0.01749 | 0.01351 | 0.10393 | 0.10029 | 0.58873 |
SimplifiedLOF | 33 | 0.00000 | -0.00406 | 0.01214 | 0.00813 | 0.05507 | 0.05124 | 0.60514 |
LoOP | 15 | 0.10163 | 0.09798 | 0.02213 | 0.01816 | 0.11192 | 0.10832 | 0.60074 |
LoOP | 57 | 0.10569 | 0.10206 | 0.02368 | 0.01972 | 0.10917 | 0.10555 | 0.63918 |
LoOP | 61 | 0.10163 | 0.09798 | 0.02482 | 0.02086 | 0.11111 | 0.10750 | 0.64095 |
LoOP | 81 | 0.07724 | 0.07349 | 0.02271 | 0.01875 | 0.10274 | 0.09910 | 0.64493 |
ODIN | 24 | 0.03974 | 0.03584 | 0.01268 | 0.00867 | 0.05799 | 0.05417 | 0.66182 |
ODIN | 60 | 0.08897 | 0.08527 | 0.02143 | 0.01745 | 0.11402 | 0.11042 | 0.60341 |
ODIN | 97 | 0.09673 | 0.09306 | 0.02385 | 0.01989 | 0.11132 | 0.10772 | 0.64801 |
ODIN | 100 | 0.09662 | 0.09295 | 0.02405 | 0.02009 | 0.10929 | 0.10567 | 0.65063 |
KDEOS | 3 | 0.04630 | 0.04243 | 0.01033 | 0.00631 | 0.06601 | 0.06222 | 0.51143 |
KDEOS | 19 | 0.02033 | 0.01635 | 0.00701 | 0.00298 | 0.03661 | 0.03270 | 0.55308 |
LDF | 34 | 0.08943 | 0.08573 | 0.02717 | 0.02322 | 0.10582 | 0.10219 | 0.65333 |
LDF | 46 | 0.09756 | 0.09390 | 0.02313 | 0.01916 | 0.09836 | 0.09470 | 0.66789 |
LDF | 72 | 0.03840 | 0.03450 | 0.01940 | 0.01542 | 0.07339 | 0.06963 | 0.69616 |
INFLO | 16 | 0.05183 | 0.04798 | 0.01903 | 0.01505 | 0.10864 | 0.10502 | 0.61742 |
INFLO | 34 | 0.00000 | -0.00406 | 0.01139 | 0.00738 | 0.06027 | 0.05645 | 0.62897 |
COF | 15 | 0.08537 | 0.08165 | 0.01797 | 0.01399 | 0.08915 | 0.08546 | 0.56759 |
COF | 18 | 0.09350 | 0.08982 | 0.01865 | 0.01466 | 0.09728 | 0.09361 | 0.54790 |
COF | 19 | 0.09756 | 0.09390 | 0.01858 | 0.01460 | 0.09917 | 0.09552 | 0.52656 |
COF | 20 | 0.09756 | 0.09390 | 0.01811 | 0.01412 | 0.10169 | 0.09805 | 0.51088 |