WDBC (version#03)
This data set describes nuclear characteristics for breast cancer diagnosis. Again, we consider examples of benign cancer as inliers and malignant cancer as outliers. In the preprocessing, we follow Zhang et al. [1], downsampling the outliers to 10. The processed database has 30 numeric attributes and 367 instances, namely 10 outliers (2.72%) and 357 inliers (97.28%).
References:
[1] K. Zhang, M. Hutter, and H. Jin. A new local distance-based outlier detection approach for scattered real-world data. In Proc. PAKDD, pages 813-822, 2009.
Download all data set variants used (1.1 MB). You can also access the original data. (wdbc.data)
Normalized, without duplicates
This version contains 30 attributes, 367 objects, 10 outliers (2.72%)
Download raw algorithm results (3.3 MB) Download raw algorithm evaluation table (38.6 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 | 4 | 0.50000 | 0.48599 | 0.43154 | 0.41562 | 0.54545 | 0.53272 | 0.95714 |
KNN | 9 | 0.60000 | 0.58880 | 0.46924 | 0.45437 | 0.60000 | 0.58880 | 0.95434 |
KNNW | 10 | 0.50000 | 0.48599 | 0.41622 | 0.39986 | 0.52632 | 0.51305 | 0.95714 |
KNNW | 72 | 0.60000 | 0.58880 | 0.46306 | 0.44802 | 0.60000 | 0.58880 | 0.95406 |
LOF | 16 | 0.60000 | 0.58880 | 0.67154 | 0.66234 | 0.63158 | 0.62126 | 0.97059 |
LOF | 17 | 0.60000 | 0.58880 | 0.66848 | 0.65919 | 0.63158 | 0.62126 | 0.97087 |
LOF | 18 | 0.60000 | 0.58880 | 0.67243 | 0.66326 | 0.63158 | 0.62126 | 0.96891 |
LOF | 32 | 0.60000 | 0.58880 | 0.54212 | 0.52929 | 0.64000 | 0.62992 | 0.96303 |
SimplifiedLOF | 19 | 0.50000 | 0.48599 | 0.62256 | 0.61199 | 0.57143 | 0.55942 | 0.96835 |
SimplifiedLOF | 29 | 0.50000 | 0.48599 | 0.55361 | 0.54110 | 0.56000 | 0.54768 | 0.97059 |
SimplifiedLOF | 79 | 0.60000 | 0.58880 | 0.51068 | 0.49697 | 0.60000 | 0.58880 | 0.96415 |
SimplifiedLOF | 99 | 0.60000 | 0.58880 | 0.52397 | 0.51064 | 0.63636 | 0.62618 | 0.96218 |
LoOP | 33 | 0.40000 | 0.38319 | 0.47226 | 0.45747 | 0.56000 | 0.54768 | 0.96415 |
LoOP | 41 | 0.40000 | 0.38319 | 0.51202 | 0.49835 | 0.53333 | 0.52026 | 0.96190 |
LoOP | 93 | 0.60000 | 0.58880 | 0.49587 | 0.48175 | 0.60000 | 0.58880 | 0.96218 |
LDOF | 51 | 0.40000 | 0.38319 | 0.47035 | 0.45551 | 0.53333 | 0.52026 | 0.96415 |
LDOF | 73 | 0.50000 | 0.48599 | 0.45794 | 0.44275 | 0.52941 | 0.51623 | 0.96331 |
LDOF | 84 | 0.40000 | 0.38319 | 0.48742 | 0.47306 | 0.58065 | 0.56890 | 0.96275 |
ODIN | 80 | 0.60000 | 0.58880 | 0.48127 | 0.46674 | 0.60000 | 0.58880 | 0.95224 |
ODIN | 93 | 0.50000 | 0.48599 | 0.48488 | 0.47046 | 0.58824 | 0.57670 | 0.95490 |
ODIN | 94 | 0.50000 | 0.48599 | 0.48211 | 0.46761 | 0.58824 | 0.57670 | 0.95504 |
FastABOD | 84 | 0.50000 | 0.48599 | 0.40984 | 0.39331 | 0.50000 | 0.48599 | 0.95826 |
FastABOD | 91 | 0.50000 | 0.48599 | 0.42180 | 0.40560 | 0.52632 | 0.51305 | 0.95938 |
FastABOD | 94 | 0.50000 | 0.48599 | 0.42409 | 0.40796 | 0.52632 | 0.51305 | 0.95966 |
KDEOS | 81 | 0.20000 | 0.17759 | 0.14172 | 0.11768 | 0.23881 | 0.21748 | 0.89916 |
KDEOS | 82 | 0.10000 | 0.07479 | 0.13551 | 0.11129 | 0.25806 | 0.23728 | 0.90112 |
LDF | 6 | 0.60000 | 0.58880 | 0.56714 | 0.55502 | 0.70588 | 0.69764 | 0.95462 |
LDF | 7 | 0.40000 | 0.38319 | 0.60843 | 0.59746 | 0.59259 | 0.58118 | 0.94986 |
INFLO | 71 | 0.50000 | 0.48599 | 0.49039 | 0.47612 | 0.58333 | 0.57166 | 0.96303 |
INFLO | 79 | 0.60000 | 0.58880 | 0.50938 | 0.49564 | 0.60000 | 0.58880 | 0.96134 |
INFLO | 81 | 0.60000 | 0.58880 | 0.51313 | 0.49949 | 0.60870 | 0.59773 | 0.96134 |
INFLO | 82 | 0.60000 | 0.58880 | 0.51323 | 0.49959 | 0.60870 | 0.59773 | 0.96162 |
COF | 1 | 0.30000 | 0.28039 | 0.19830 | 0.17585 | 0.37500 | 0.35749 | 0.53852 |
COF | 20 | 0.20000 | 0.17759 | 0.24417 | 0.22300 | 0.42105 | 0.40484 | 0.94006 |
COF | 35 | 0.30000 | 0.28039 | 0.31175 | 0.29247 | 0.40000 | 0.38319 | 0.92213 |
COF | 76 | 0.20000 | 0.17759 | 0.27666 | 0.25640 | 0.46667 | 0.45173 | 0.91401 |
Plots
Not normalized, without duplicates
This version contains 30 attributes, 367 objects, 10 outliers (2.72%)
Download raw algorithm results (3.1 MB) Download raw algorithm evaluation table (31.9 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 | 2 | 0.90000 | 0.89720 | 0.87565 | 0.87216 | 0.90000 | 0.89720 | 0.97171 |
KNN | 3 | 0.80000 | 0.79440 | 0.87291 | 0.86935 | 0.85714 | 0.85314 | 0.98263 |
KNNW | 1 | 0.90000 | 0.89720 | 0.88610 | 0.88291 | 0.90000 | 0.89720 | 0.95630 |
KNNW | 12 | 0.80000 | 0.79440 | 0.87119 | 0.86759 | 0.85714 | 0.85314 | 0.98011 |
LOF | 15 | 0.90000 | 0.89720 | 0.89972 | 0.89691 | 0.90000 | 0.89720 | 0.98880 |
LOF | 20 | 0.80000 | 0.79440 | 0.86773 | 0.86403 | 0.85714 | 0.85314 | 0.98964 |
SimplifiedLOF | 20 | 0.90000 | 0.89720 | 0.89850 | 0.89565 | 0.90000 | 0.89720 | 0.98796 |
SimplifiedLOF | 22 | 0.90000 | 0.89720 | 0.91961 | 0.91736 | 0.94737 | 0.94589 | 0.98852 |
SimplifiedLOF | 49 | 0.80000 | 0.79440 | 0.86342 | 0.85959 | 0.84211 | 0.83768 | 0.99048 |
LoOP | 25 | 0.90000 | 0.89720 | 0.85544 | 0.85139 | 0.90000 | 0.89720 | 0.98739 |
LoOP | 37 | 0.90000 | 0.89720 | 0.87536 | 0.87187 | 0.90000 | 0.89720 | 0.98964 |
LoOP | 47 | 0.80000 | 0.79440 | 0.85472 | 0.85065 | 0.85714 | 0.85314 | 0.99132 |
LDOF | 38 | 0.90000 | 0.89720 | 0.80829 | 0.80292 | 0.90000 | 0.89720 | 0.98515 |
LDOF | 47 | 0.80000 | 0.79440 | 0.85106 | 0.84689 | 0.85714 | 0.85314 | 0.98936 |
LDOF | 80 | 0.80000 | 0.79440 | 0.85201 | 0.84786 | 0.81818 | 0.81309 | 0.98627 |
ODIN | 49 | 0.80000 | 0.79440 | 0.82459 | 0.81968 | 0.80000 | 0.79440 | 0.99286 |
ODIN | 63 | 0.80000 | 0.79440 | 0.86481 | 0.86103 | 0.84211 | 0.83768 | 0.99342 |
ODIN | 64 | 0.80000 | 0.79440 | 0.86195 | 0.85809 | 0.84211 | 0.83768 | 0.99356 |
ODIN | 80 | 0.80000 | 0.79440 | 0.87419 | 0.87067 | 0.84211 | 0.83768 | 0.99160 |
FastABOD | 4 | 0.80000 | 0.79440 | 0.86494 | 0.86116 | 0.85714 | 0.85314 | 0.98347 |
FastABOD | 6 | 0.90000 | 0.89720 | 0.87889 | 0.87550 | 0.90000 | 0.89720 | 0.97955 |
FastABOD | 8 | 0.90000 | 0.89720 | 0.88976 | 0.88667 | 0.90000 | 0.89720 | 0.97647 |
KDEOS | 2 | 0.10000 | 0.07479 | 0.12821 | 0.10379 | 0.18182 | 0.15890 | 0.52101 |
KDEOS | 62 | 0.00000 | -0.02801 | 0.12177 | 0.09717 | 0.32787 | 0.30904 | 0.89692 |
KDEOS | 100 | 0.10000 | 0.07479 | 0.12502 | 0.10051 | 0.31746 | 0.29834 | 0.89720 |
LDF | 11 | 0.80000 | 0.79440 | 0.88389 | 0.88064 | 0.84211 | 0.83768 | 0.98768 |
LDF | 12 | 0.80000 | 0.79440 | 0.85983 | 0.85590 | 0.84211 | 0.83768 | 0.98880 |
LDF | 36 | 0.90000 | 0.89720 | 0.86072 | 0.85682 | 0.90000 | 0.89720 | 0.96919 |
INFLO | 21 | 0.90000 | 0.89720 | 0.90063 | 0.89784 | 0.90000 | 0.89720 | 0.98936 |
INFLO | 22 | 0.90000 | 0.89720 | 0.92222 | 0.92004 | 0.94737 | 0.94589 | 0.99020 |
INFLO | 27 | 0.90000 | 0.89720 | 0.92381 | 0.92168 | 0.94737 | 0.94589 | 0.99104 |
INFLO | 50 | 0.80000 | 0.79440 | 0.87159 | 0.86799 | 0.84211 | 0.83768 | 0.99300 |
COF | 15 | 0.90000 | 0.89720 | 0.87292 | 0.86937 | 0.90000 | 0.89720 | 0.95910 |
COF | 17 | 0.90000 | 0.89720 | 0.90521 | 0.90255 | 0.94737 | 0.94589 | 0.94902 |
COF | 19 | 0.90000 | 0.89720 | 0.90671 | 0.90410 | 0.94737 | 0.94589 | 0.96106 |
COF | 27 | 0.90000 | 0.89720 | 0.90563 | 0.90298 | 0.90000 | 0.89720 | 0.98459 |