Lymphography
This dataset represents patients divided into four classes according to radiological examination results. Two classes (1 and 4) are represented by only 6 instances. These classes were jointly considered as outliers. In this way, the dataset was first used by Lazarevic and Kumar [1], and then also in [2,3]. (Note: Lazarevic and Kumar name classes 2 and 4 as outliers but their experimental results suggest that they actually used classes 1 and 4, as we do here. The processed database has 3 numerical attributes, 16 categorical attributes and 148 instances, namely 6 outliers (4.05%) and 142 inliers (95.95%).
References:
[1] A. Lazarevic and V. Kumar. Feature bagging for outlier
detection. In Proc. KDD, pages 157-166, 2005.
[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] A. Zimek, M. Gaudet, R. J. G. B. Campello, and J. Sander.
Subsampling for efficient and effective unsupervised outlier
detection ensembles. In Proc. KDD, pages 428-436, 2013.
Download all data set variants used (13.0 kB). You can also access the original data. (lymphography-data)
- Normalized, without duplicates, idf weighted categorial attributes
- Normalized, without duplicates, 1-of-n encoding
- Normalized, without 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
Normalized, without duplicates, idf weighted categorial attributes
This version contains 18 attributes, 148 objects, 6 outliers (4.05%)
Download raw algorithm results (1.3 MB) Download raw algorithm evaluation table (17.0 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 | 14 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
KNNW | 39 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
LOF | 62 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
SimplifiedLOF | 98 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
LoOP | 14 | 0.83333 | 0.82629 | 0.62500 | 0.60915 | 0.83333 | 0.82629 | 0.96596 |
LoOP | 43 | 0.83333 | 0.82629 | 0.94444 | 0.94210 | 0.90909 | 0.90525 | 0.99648 |
LoOP | 47 | 0.83333 | 0.82629 | 0.95833 | 0.95657 | 0.90909 | 0.90525 | 0.99765 |
LDOF | 56 | 0.83333 | 0.82629 | 0.85556 | 0.84945 | 0.85714 | 0.85111 | 0.99413 |
LDOF | 66 | 0.83333 | 0.82629 | 0.91508 | 0.91149 | 0.92308 | 0.91983 | 0.99648 |
LDOF | 86 | 0.83333 | 0.82629 | 0.95833 | 0.95657 | 0.90909 | 0.90525 | 0.99765 |
ODIN | 16 | 0.83333 | 0.82629 | 0.83258 | 0.82551 | 0.83333 | 0.82629 | 0.96479 |
ODIN | 52 | 0.83333 | 0.82629 | 0.94841 | 0.94623 | 0.92308 | 0.91983 | 0.99765 |
ODIN | 55 | 0.83333 | 0.82629 | 0.97619 | 0.97518 | 0.92308 | 0.91983 | 0.99883 |
FastABOD | 23 | 0.83333 | 0.82629 | 0.93056 | 0.92762 | 0.85714 | 0.85111 | 0.99648 |
FastABOD | 25 | 0.83333 | 0.82629 | 0.94841 | 0.94623 | 0.92308 | 0.91983 | 0.99765 |
KDEOS | 73 | 0.33333 | 0.30516 | 0.47652 | 0.45440 | 0.66667 | 0.65258 | 0.97066 |
KDEOS | 96 | 0.66667 | 0.65258 | 0.53046 | 0.51062 | 0.66667 | 0.65258 | 0.97653 |
KDEOS | 99 | 0.66667 | 0.65258 | 0.65840 | 0.64397 | 0.66667 | 0.65258 | 0.98122 |
LDF | 13 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
INFLO | 15 | 0.83333 | 0.82629 | 0.74643 | 0.73571 | 0.83333 | 0.82629 | 0.98592 |
INFLO | 60 | 0.83333 | 0.82629 | 0.94841 | 0.94623 | 0.92308 | 0.91983 | 0.99765 |
INFLO | 62 | 0.83333 | 0.82629 | 0.97619 | 0.97518 | 0.92308 | 0.91983 | 0.99883 |
COF | 40 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
Plots
Normalized, without duplicates, 1-of-n encoding
This version contains 47 attributes, 148 objects, 6 outliers (4.05%)
Download raw algorithm results (1.1 MB) Download raw algorithm evaluation table (20.0 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 | 3 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
KNNW | 5 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
LOF | 23 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
SimplifiedLOF | 46 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
LoOP | 43 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
LDOF | 37 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
ODIN | 17 | 0.83333 | 0.82629 | 0.76026 | 0.75013 | 0.83333 | 0.82629 | 0.98885 |
ODIN | 21 | 0.83333 | 0.82629 | 0.91667 | 0.91315 | 0.90909 | 0.90525 | 0.99531 |
ODIN | 40 | 0.83333 | 0.82629 | 0.95833 | 0.95657 | 0.90909 | 0.90525 | 0.99765 |
FastABOD | 13 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
KDEOS | 99 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
LDF | 16 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
INFLO | 34 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 |
COF | 53 | 0.66667 | 0.65258 | 0.80492 | 0.79668 | 0.80000 | 0.79155 | 0.98122 |
COF | 56 | 0.83333 | 0.82629 | 0.79603 | 0.78741 | 0.83333 | 0.82629 | 0.95540 |
Plots
Normalized, without duplicates, categorial attributes removed
This version contains 3 attributes, 148 objects, 6 outliers (4.05%)
Download raw algorithm results (331.4 kB) Download raw algorithm evaluation table (26.4 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 | 0.66667 | 0.65258 | 0.40240 | 0.37715 | 0.66667 | 0.65258 | 0.81045 |
KNN | 2 | 0.66667 | 0.65258 | 0.60518 | 0.58850 | 0.72727 | 0.71575 | 0.80634 |
KNN | 6 | 0.66667 | 0.65258 | 0.67632 | 0.66265 | 0.72727 | 0.71575 | 0.87148 |
KNN | 7 | 0.66667 | 0.65258 | 0.68639 | 0.67314 | 0.72727 | 0.71575 | 0.86326 |
KNNW | 3 | 0.66667 | 0.65258 | 0.37462 | 0.34820 | 0.66667 | 0.65258 | 0.79930 |
KNNW | 5 | 0.66667 | 0.65258 | 0.48389 | 0.46209 | 0.72727 | 0.71575 | 0.83744 |
KNNW | 13 | 0.66667 | 0.65258 | 0.67342 | 0.65962 | 0.72727 | 0.71575 | 0.84683 |
KNNW | 20 | 0.66667 | 0.65258 | 0.67150 | 0.65762 | 0.72727 | 0.71575 | 0.86678 |
LOF | 47 | 0.66667 | 0.65258 | 0.67610 | 0.66241 | 0.66667 | 0.65258 | 0.88204 |
LOF | 50 | 0.66667 | 0.65258 | 0.68007 | 0.66655 | 0.66667 | 0.65258 | 0.88322 |
LOF | 67 | 0.66667 | 0.65258 | 0.65579 | 0.64124 | 0.72727 | 0.71575 | 0.82570 |
SimplifiedLOF | 47 | 0.53333 | 0.51362 | 0.59494 | 0.57783 | 0.60000 | 0.58310 | 0.93369 |
SimplifiedLOF | 68 | 0.66667 | 0.65258 | 0.67263 | 0.65880 | 0.66667 | 0.65258 | 0.88087 |
SimplifiedLOF | 86 | 0.66667 | 0.65258 | 0.67610 | 0.66241 | 0.72727 | 0.71575 | 0.87148 |
SimplifiedLOF | 88 | 0.66667 | 0.65258 | 0.68065 | 0.66715 | 0.72727 | 0.71575 | 0.87500 |
LoOP | 43 | 0.43333 | 0.40939 | 0.41686 | 0.39222 | 0.53333 | 0.51362 | 0.91725 |
LoOP | 69 | 0.50000 | 0.47887 | 0.62689 | 0.61112 | 0.66667 | 0.65258 | 0.85270 |
LoOP | 71 | 0.50000 | 0.47887 | 0.66152 | 0.64722 | 0.66667 | 0.65258 | 0.85739 |
LoOP | 77 | 0.66667 | 0.65258 | 0.65755 | 0.64308 | 0.66667 | 0.65258 | 0.85035 |
LDOF | 42 | 0.43333 | 0.40939 | 0.40540 | 0.38027 | 0.50000 | 0.47887 | 0.91256 |
LDOF | 71 | 0.50000 | 0.47887 | 0.61784 | 0.60170 | 0.66667 | 0.65258 | 0.88322 |
LDOF | 88 | 0.66667 | 0.65258 | 0.67610 | 0.66241 | 0.66667 | 0.65258 | 0.88204 |
LDOF | 91 | 0.66667 | 0.65258 | 0.68465 | 0.67132 | 0.66667 | 0.65258 | 0.88439 |
ODIN | 19 | 0.66667 | 0.65258 | 0.46062 | 0.43783 | 0.66667 | 0.65258 | 0.89495 |
ODIN | 32 | 0.66667 | 0.65258 | 0.55248 | 0.53357 | 0.66667 | 0.65258 | 0.92371 |
ODIN | 97 | 0.66667 | 0.65258 | 0.63771 | 0.62240 | 0.66667 | 0.65258 | 0.82570 |
FastABOD | 39 | 0.05000 | 0.00986 | 0.12236 | 0.08528 | 0.32258 | 0.29396 | 0.73650 |
FastABOD | 43 | 0.66667 | 0.65258 | 0.64609 | 0.63114 | 0.72727 | 0.71575 | 0.68838 |
KDEOS | 82 | 0.43333 | 0.40939 | 0.44470 | 0.42123 | 0.50000 | 0.47887 | 0.80927 |
KDEOS | 85 | 0.43333 | 0.40939 | 0.44681 | 0.42343 | 0.50000 | 0.47887 | 0.81279 |
KDEOS | 100 | 0.33333 | 0.30516 | 0.28774 | 0.25765 | 0.40000 | 0.37465 | 0.83862 |
LDF | 7 | 0.66667 | 0.65258 | 0.57298 | 0.55494 | 0.66667 | 0.65258 | 0.81338 |
LDF | 56 | 0.66667 | 0.65258 | 0.67667 | 0.66300 | 0.66667 | 0.65258 | 0.88908 |
LDF | 67 | 0.66667 | 0.65258 | 0.65879 | 0.64438 | 0.72727 | 0.71575 | 0.83979 |
INFLO | 41 | 0.50000 | 0.47887 | 0.59971 | 0.58279 | 0.66667 | 0.65258 | 0.81866 |
INFLO | 47 | 0.66667 | 0.65258 | 0.66693 | 0.65286 | 0.66667 | 0.65258 | 0.86385 |
INFLO | 54 | 0.66667 | 0.65258 | 0.68216 | 0.66873 | 0.66667 | 0.65258 | 0.87324 |
COF | 55 | 0.56667 | 0.54836 | 0.56987 | 0.55170 | 0.60000 | 0.58310 | 0.94190 |
COF | 80 | 0.70000 | 0.68732 | 0.68833 | 0.67516 | 0.72727 | 0.71575 | 0.92430 |
COF | 83 | 0.70000 | 0.68732 | 0.68949 | 0.67637 | 0.72727 | 0.71575 | 0.93134 |
Plots
Not normalized, without duplicates, idf weighted categorial attributes
This version contains 18 attributes, 148 objects, 6 outliers (4.05%)
Download raw algorithm results (1.3 MB) Download raw algorithm evaluation table (22.5 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 | 0.83333 | 0.82629 | 0.88889 | 0.88419 | 0.83333 | 0.82629 | 0.99237 |
KNN | 4 | 0.83333 | 0.82629 | 0.97619 | 0.97518 | 0.92308 | 0.91983 | 0.99883 |
KNNW | 1 | 0.83333 | 0.82629 | 0.90476 | 0.90074 | 0.90909 | 0.90525 | 0.99061 |
KNNW | 8 | 0.83333 | 0.82629 | 0.95833 | 0.95657 | 0.90909 | 0.90525 | 0.99765 |
KNNW | 22 | 0.83333 | 0.82629 | 0.94841 | 0.94623 | 0.92308 | 0.91983 | 0.99765 |
LOF | 35 | 0.83333 | 0.82629 | 0.80198 | 0.79362 | 0.83333 | 0.82629 | 0.98709 |
LOF | 47 | 0.83333 | 0.82629 | 0.85556 | 0.84945 | 0.85714 | 0.85111 | 0.99413 |
LOF | 55 | 0.83333 | 0.82629 | 0.89722 | 0.89288 | 0.85714 | 0.85111 | 0.99531 |
LOF | 63 | 0.66667 | 0.65258 | 0.91071 | 0.90694 | 0.85714 | 0.85111 | 0.99531 |
SimplifiedLOF | 26 | 0.83333 | 0.82629 | 0.73750 | 0.72641 | 0.83333 | 0.82629 | 0.98357 |
SimplifiedLOF | 59 | 0.83333 | 0.82629 | 0.85556 | 0.84945 | 0.85714 | 0.85111 | 0.99413 |
SimplifiedLOF | 71 | 0.66667 | 0.65258 | 0.91071 | 0.90694 | 0.85714 | 0.85111 | 0.99531 |
LoOP | 48 | 0.83333 | 0.82629 | 0.75192 | 0.74144 | 0.83333 | 0.82629 | 0.98709 |
LoOP | 57 | 0.83333 | 0.82629 | 0.84167 | 0.83498 | 0.83333 | 0.82629 | 0.99296 |
LoOP | 69 | 0.66667 | 0.65258 | 0.83571 | 0.82877 | 0.85714 | 0.85111 | 0.99296 |
LDOF | 60 | 0.66667 | 0.65258 | 0.66481 | 0.65065 | 0.66667 | 0.65258 | 0.98239 |
LDOF | 74 | 0.66667 | 0.65258 | 0.70417 | 0.69167 | 0.80000 | 0.79155 | 0.98709 |
LDOF | 87 | 0.66667 | 0.65258 | 0.77460 | 0.76508 | 0.80000 | 0.79155 | 0.98944 |
ODIN | 93 | 0.83333 | 0.82629 | 0.82146 | 0.81392 | 0.83333 | 0.82629 | 0.99120 |
ODIN | 96 | 0.83333 | 0.82629 | 0.84167 | 0.83498 | 0.83333 | 0.82629 | 0.99296 |
FastABOD | 14 | 0.66667 | 0.65258 | 0.69713 | 0.68433 | 0.66667 | 0.65258 | 0.98005 |
FastABOD | 51 | 0.66667 | 0.65258 | 0.78849 | 0.77956 | 0.85714 | 0.85111 | 0.99061 |
KDEOS | 52 | 0.16667 | 0.13146 | 0.16484 | 0.12955 | 0.30000 | 0.27042 | 0.86385 |
KDEOS | 88 | 0.16667 | 0.13146 | 0.19522 | 0.16122 | 0.37500 | 0.34859 | 0.90141 |
KDEOS | 100 | 0.16667 | 0.13146 | 0.23771 | 0.20550 | 0.35714 | 0.32998 | 0.91315 |
LDF | 6 | 0.83333 | 0.82629 | 0.82146 | 0.81392 | 0.83333 | 0.82629 | 0.99061 |
LDF | 9 | 0.83333 | 0.82629 | 0.81786 | 0.81016 | 0.92308 | 0.91983 | 0.99413 |
LDF | 25 | 0.83333 | 0.82629 | 0.95833 | 0.95657 | 0.90909 | 0.90525 | 0.99765 |
INFLO | 45 | 0.83333 | 0.82629 | 0.80198 | 0.79362 | 0.83333 | 0.82629 | 0.98709 |
INFLO | 49 | 0.83333 | 0.82629 | 0.82146 | 0.81392 | 0.83333 | 0.82629 | 0.99061 |
INFLO | 61 | 0.66667 | 0.65258 | 0.81349 | 0.80561 | 0.85714 | 0.85111 | 0.99178 |
COF | 11 | 0.83333 | 0.82629 | 0.84903 | 0.84265 | 0.83333 | 0.82629 | 0.97887 |
COF | 25 | 0.83333 | 0.82629 | 0.93333 | 0.93052 | 0.90909 | 0.90525 | 0.99531 |
Plots
Not normalized, without duplicates, 1-of-n encoding
This version contains 47 attributes, 148 objects, 6 outliers (4.05%)
Download raw algorithm results (1.0 MB) Download raw algorithm evaluation table (33.0 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 | 0.66667 | 0.65258 | 0.74676 | 0.73606 | 0.72727 | 0.71575 | 0.98592 |
KNN | 2 | 0.66667 | 0.65258 | 0.79259 | 0.78383 | 0.72727 | 0.71575 | 0.98709 |
KNNW | 1 | 0.75000 | 0.73944 | 0.71253 | 0.70038 | 0.76923 | 0.75948 | 0.98063 |
KNNW | 4 | 0.66667 | 0.65258 | 0.82083 | 0.81326 | 0.72727 | 0.71575 | 0.98885 |
LOF | 12 | 0.83333 | 0.82629 | 0.88333 | 0.87840 | 0.83333 | 0.82629 | 0.99413 |
SimplifiedLOF | 19 | 0.83333 | 0.82629 | 0.83889 | 0.83208 | 0.83333 | 0.82629 | 0.98709 |
SimplifiedLOF | 37 | 0.66667 | 0.65258 | 0.80370 | 0.79541 | 0.75000 | 0.73944 | 0.98826 |
LoOP | 8 | 0.50000 | 0.47887 | 0.57037 | 0.55222 | 0.75000 | 0.73944 | 0.98122 |
LoOP | 13 | 0.66667 | 0.65258 | 0.78535 | 0.77628 | 0.70588 | 0.69345 | 0.98592 |
LoOP | 24 | 0.66667 | 0.65258 | 0.78704 | 0.77804 | 0.66667 | 0.65258 | 0.98592 |
LDOF | 12 | 0.83333 | 0.82629 | 0.66859 | 0.65459 | 0.83333 | 0.82629 | 0.98592 |
LDOF | 13 | 0.83333 | 0.82629 | 0.80198 | 0.79362 | 0.83333 | 0.82629 | 0.98709 |
ODIN | 17 | 0.83333 | 0.82629 | 0.75327 | 0.74284 | 0.83333 | 0.82629 | 0.98415 |
ODIN | 20 | 0.83333 | 0.82629 | 0.90000 | 0.89577 | 0.90909 | 0.90525 | 0.99120 |
ODIN | 25 | 0.83333 | 0.82629 | 0.91026 | 0.90646 | 0.90909 | 0.90525 | 0.99237 |
ODIN | 27 | 0.83333 | 0.82629 | 0.86869 | 0.86314 | 0.83333 | 0.82629 | 0.99472 |
FastABOD | 7 | 0.33333 | 0.30516 | 0.52539 | 0.50534 | 0.57143 | 0.55332 | 0.85446 |
FastABOD | 32 | 0.66667 | 0.65258 | 0.52002 | 0.49974 | 0.66667 | 0.65258 | 0.91432 |
FastABOD | 48 | 0.66667 | 0.65258 | 0.51908 | 0.49876 | 0.66667 | 0.65258 | 0.92488 |
KDEOS | 58 | 0.83333 | 0.82629 | 0.78938 | 0.78048 | 0.83333 | 0.82629 | 0.98357 |
KDEOS | 62 | 0.83333 | 0.82629 | 0.89583 | 0.89143 | 0.90909 | 0.90525 | 0.98826 |
KDEOS | 70 | 0.83333 | 0.82629 | 0.91026 | 0.90646 | 0.90909 | 0.90525 | 0.99178 |
LDF | 10 | 0.66667 | 0.65258 | 0.55486 | 0.53605 | 0.72727 | 0.71575 | 0.96596 |
LDF | 15 | 0.50000 | 0.47887 | 0.66786 | 0.65382 | 0.66667 | 0.65258 | 0.96127 |
LDF | 16 | 0.50000 | 0.47887 | 0.63581 | 0.62042 | 0.60000 | 0.58310 | 0.96714 |
INFLO | 8 | 0.50000 | 0.47887 | 0.71266 | 0.70052 | 0.66667 | 0.65258 | 0.98122 |
INFLO | 9 | 0.66667 | 0.65258 | 0.74937 | 0.73878 | 0.66667 | 0.65258 | 0.97887 |
INFLO | 12 | 0.66667 | 0.65258 | 0.73286 | 0.72157 | 0.72727 | 0.71575 | 0.96596 |
COF | 61 | 0.50000 | 0.47887 | 0.46132 | 0.43856 | 0.60000 | 0.58310 | 0.84742 |
COF | 75 | 0.33333 | 0.30516 | 0.54952 | 0.53049 | 0.66667 | 0.65258 | 0.94366 |
COF | 78 | 0.50000 | 0.47887 | 0.58799 | 0.57058 | 0.66667 | 0.65258 | 0.69836 |
Plots
Not normalized, without duplicates, categorial attributes removed
This version contains 3 attributes, 148 objects, 6 outliers (4.05%)
Download raw algorithm results (313.8 kB) Download raw algorithm evaluation table (28.5 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 | 0.66667 | 0.65258 | 0.61351 | 0.59718 | 0.72727 | 0.71575 | 0.81808 |
KNN | 2 | 0.66667 | 0.65258 | 0.62462 | 0.60876 | 0.66667 | 0.65258 | 0.80692 |
KNN | 4 | 0.66667 | 0.65258 | 0.48945 | 0.46788 | 0.72727 | 0.71575 | 0.85563 |
KNNW | 2 | 0.66667 | 0.65258 | 0.47462 | 0.45243 | 0.72727 | 0.71575 | 0.81514 |
KNNW | 5 | 0.66667 | 0.65258 | 0.57278 | 0.55473 | 0.72727 | 0.71575 | 0.83862 |
LOF | 42 | 0.66667 | 0.65258 | 0.56727 | 0.54899 | 0.66667 | 0.65258 | 0.82923 |
LOF | 43 | 0.66667 | 0.65258 | 0.59227 | 0.57505 | 0.66667 | 0.65258 | 0.83040 |
LOF | 50 | 0.50000 | 0.47887 | 0.51847 | 0.49812 | 0.54545 | 0.52625 | 0.83509 |
SimplifiedLOF | 43 | 0.50000 | 0.47887 | 0.38917 | 0.36336 | 0.50000 | 0.47887 | 0.92430 |
SimplifiedLOF | 76 | 0.66667 | 0.65258 | 0.45792 | 0.43501 | 0.66667 | 0.65258 | 0.83040 |
SimplifiedLOF | 82 | 0.66667 | 0.65258 | 0.56990 | 0.55173 | 0.66667 | 0.65258 | 0.83627 |
LoOP | 52 | 0.50000 | 0.47887 | 0.43129 | 0.40726 | 0.50000 | 0.47887 | 0.91491 |
LoOP | 55 | 0.50000 | 0.47887 | 0.45249 | 0.42935 | 0.53333 | 0.51362 | 0.91021 |
LoOP | 78 | 0.66667 | 0.65258 | 0.39868 | 0.37327 | 0.66667 | 0.65258 | 0.82923 |
LDOF | 50 | 0.36667 | 0.33991 | 0.32263 | 0.29401 | 0.47059 | 0.44822 | 0.89261 |
LDOF | 51 | 0.36667 | 0.33991 | 0.29315 | 0.26329 | 0.47059 | 0.44822 | 0.89378 |
LDOF | 76 | 0.33333 | 0.30516 | 0.31942 | 0.29067 | 0.57143 | 0.55332 | 0.86678 |
LDOF | 97 | 0.33333 | 0.30516 | 0.37482 | 0.34840 | 0.57143 | 0.55332 | 0.85857 |
ODIN | 5 | 0.66667 | 0.65258 | 0.53178 | 0.51199 | 0.66667 | 0.65258 | 0.87265 |
ODIN | 8 | 0.66667 | 0.65258 | 0.69605 | 0.68321 | 0.72727 | 0.71575 | 0.89671 |
ODIN | 30 | 0.52381 | 0.50369 | 0.55037 | 0.53137 | 0.53333 | 0.51362 | 0.91373 |
FastABOD | 15 | 0.50000 | 0.47887 | 0.57492 | 0.55696 | 0.61538 | 0.59913 | 0.81631 |
FastABOD | 22 | 0.50000 | 0.47887 | 0.46596 | 0.44340 | 0.61538 | 0.59913 | 0.82688 |
FastABOD | 26 | 0.66667 | 0.65258 | 0.48059 | 0.45864 | 0.66667 | 0.65258 | 0.81984 |
KDEOS | 3 | 0.50000 | 0.47887 | 0.56796 | 0.54970 | 0.61538 | 0.59913 | 0.83627 |
KDEOS | 20 | 0.00000 | -0.04225 | 0.18781 | 0.15349 | 0.34783 | 0.32027 | 0.83862 |
LDF | 5 | 0.66667 | 0.65258 | 0.60767 | 0.59109 | 0.72727 | 0.71575 | 0.85563 |
INFLO | 19 | 0.07143 | 0.03219 | 0.14685 | 0.11080 | 0.33333 | 0.30516 | 0.82688 |
INFLO | 42 | 0.50000 | 0.47887 | 0.49116 | 0.46966 | 0.50000 | 0.47887 | 0.78638 |
INFLO | 43 | 0.50000 | 0.47887 | 0.53283 | 0.51309 | 0.60000 | 0.58310 | 0.78873 |
INFLO | 56 | 0.50000 | 0.47887 | 0.39901 | 0.37361 | 0.61538 | 0.59913 | 0.76995 |
COF | 69 | 0.50000 | 0.47887 | 0.36800 | 0.34129 | 0.61538 | 0.59913 | 0.89495 |
COF | 70 | 0.66667 | 0.65258 | 0.42049 | 0.39600 | 0.66667 | 0.65258 | 0.87383 |
COF | 74 | 0.50000 | 0.47887 | 0.48372 | 0.46191 | 0.60000 | 0.58310 | 0.84683 |