Waveform (version#04)
This dataset represents 3 classes of waves. Class 0 was defined here as an outlier class and downsampled to 100 objects. After preprocessing, this database has 21 numeric attributes and 3443 instances, divided into 100 outliers (2.9%) and 3343 inliers (97.1%) [1].
References:
[1] 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 (5.1 MB). You can also access the original data. (waveform.data.Z)
Normalized, without duplicates
This version contains 21 attributes, 3443 objects, 100 outliers (2.90%)
Download raw algorithm results (30.2 MB) Download raw algorithm evaluation table (65.7 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 | 25 | 0.15000 | 0.12457 | 0.10740 | 0.08070 | 0.19512 | 0.17105 | 0.74217 |
KNN | 43 | 0.18000 | 0.15547 | 0.11192 | 0.08535 | 0.18375 | 0.15933 | 0.74305 |
KNN | 57 | 0.19000 | 0.16577 | 0.11076 | 0.08416 | 0.19000 | 0.16577 | 0.74479 |
KNN | 82 | 0.16000 | 0.13487 | 0.11058 | 0.08398 | 0.18421 | 0.15981 | 0.74592 |
KNNW | 60 | 0.16000 | 0.13487 | 0.10710 | 0.08039 | 0.18773 | 0.16343 | 0.74194 |
KNNW | 74 | 0.15000 | 0.12457 | 0.10738 | 0.08068 | 0.19081 | 0.16661 | 0.74261 |
KNNW | 97 | 0.15000 | 0.12457 | 0.10856 | 0.08189 | 0.18685 | 0.16253 | 0.74331 |
KNNW | 100 | 0.15000 | 0.12457 | 0.10851 | 0.08184 | 0.18557 | 0.16120 | 0.74338 |
LOF | 90 | 0.12000 | 0.09368 | 0.09170 | 0.06453 | 0.17213 | 0.14737 | 0.72297 |
LOF | 91 | 0.13000 | 0.10398 | 0.09218 | 0.06503 | 0.17143 | 0.14664 | 0.72319 |
LOF | 100 | 0.13000 | 0.10398 | 0.09348 | 0.06636 | 0.17021 | 0.14539 | 0.72458 |
SimplifiedLOF | 7 | 0.12000 | 0.09368 | 0.04816 | 0.01969 | 0.12371 | 0.09750 | 0.61224 |
SimplifiedLOF | 97 | 0.10000 | 0.07308 | 0.07560 | 0.04794 | 0.14535 | 0.11978 | 0.70718 |
SimplifiedLOF | 98 | 0.10000 | 0.07308 | 0.07511 | 0.04744 | 0.14721 | 0.12170 | 0.70722 |
SimplifiedLOF | 100 | 0.10000 | 0.07308 | 0.07535 | 0.04769 | 0.14684 | 0.12131 | 0.70821 |
LoOP | 7 | 0.12000 | 0.09368 | 0.04687 | 0.01835 | 0.12371 | 0.09750 | 0.60834 |
LoOP | 95 | 0.10000 | 0.07308 | 0.07122 | 0.04343 | 0.13861 | 0.11285 | 0.70267 |
LoOP | 100 | 0.10000 | 0.07308 | 0.07229 | 0.04454 | 0.14078 | 0.11507 | 0.70183 |
LDOF | 5 | 0.09000 | 0.06278 | 0.04532 | 0.01676 | 0.09938 | 0.07244 | 0.57973 |
LDOF | 13 | 0.09000 | 0.06278 | 0.04922 | 0.02078 | 0.10879 | 0.08213 | 0.62331 |
LDOF | 100 | 0.08000 | 0.05248 | 0.05166 | 0.02330 | 0.10115 | 0.07426 | 0.66381 |
ODIN | 96 | 0.05864 | 0.03048 | 0.05197 | 0.02361 | 0.10723 | 0.08052 | 0.67840 |
ODIN | 98 | 0.06160 | 0.03353 | 0.05131 | 0.02294 | 0.10538 | 0.07862 | 0.67882 |
ODIN | 100 | 0.05350 | 0.02519 | 0.05121 | 0.02283 | 0.10664 | 0.07991 | 0.67917 |
FastABOD | 4 | 0.08000 | 0.05248 | 0.05003 | 0.02161 | 0.09272 | 0.06558 | 0.61252 |
FastABOD | 14 | 0.04000 | 0.01128 | 0.04328 | 0.01466 | 0.09219 | 0.06504 | 0.64407 |
FastABOD | 15 | 0.03000 | 0.00098 | 0.04264 | 0.01400 | 0.09533 | 0.06827 | 0.63780 |
KDEOS | 8 | 0.02000 | -0.00931 | 0.03581 | 0.00697 | 0.07973 | 0.05221 | 0.56078 |
KDEOS | 9 | 0.05000 | 0.02158 | 0.03549 | 0.00664 | 0.07960 | 0.05207 | 0.56568 |
KDEOS | 100 | 0.02000 | -0.00931 | 0.03373 | 0.00482 | 0.07575 | 0.04810 | 0.58782 |
LDF | 14 | 0.26000 | 0.23786 | 0.17288 | 0.14813 | 0.26168 | 0.23960 | 0.71483 |
LDF | 32 | 0.23000 | 0.20697 | 0.20506 | 0.18128 | 0.26606 | 0.24410 | 0.74549 |
LDF | 40 | 0.26000 | 0.23786 | 0.19696 | 0.17294 | 0.28972 | 0.26847 | 0.74098 |
LDF | 85 | 0.19000 | 0.16577 | 0.15373 | 0.12842 | 0.22430 | 0.20110 | 0.74930 |
INFLO | 5 | 0.10000 | 0.07308 | 0.04588 | 0.01734 | 0.10497 | 0.07820 | 0.59308 |
INFLO | 100 | 0.10000 | 0.07308 | 0.06524 | 0.03728 | 0.12673 | 0.10061 | 0.68925 |
COF | 78 | 0.23000 | 0.20697 | 0.18650 | 0.16217 | 0.25478 | 0.23249 | 0.71319 |
COF | 80 | 0.23000 | 0.20697 | 0.18237 | 0.15791 | 0.27160 | 0.24982 | 0.70771 |
COF | 85 | 0.25000 | 0.22757 | 0.18345 | 0.15902 | 0.25698 | 0.23476 | 0.71885 |
COF | 89 | 0.23000 | 0.20697 | 0.17421 | 0.14951 | 0.25974 | 0.23760 | 0.72216 |
Plots
Not normalized, without duplicates
This version contains 21 attributes, 3443 objects, 100 outliers (2.90%)
Download raw algorithm results (30.2 MB) Download raw algorithm evaluation table (65.8 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 | 30 | 0.21000 | 0.18637 | 0.14243 | 0.11678 | 0.21818 | 0.19480 | 0.75741 |
KNN | 61 | 0.18000 | 0.15547 | 0.15313 | 0.12779 | 0.24348 | 0.22085 | 0.76103 |
KNN | 93 | 0.19000 | 0.16577 | 0.15884 | 0.13368 | 0.23629 | 0.21344 | 0.76451 |
KNN | 100 | 0.19000 | 0.16577 | 0.15867 | 0.13350 | 0.23894 | 0.21617 | 0.76591 |
KNNW | 74 | 0.20000 | 0.17607 | 0.13938 | 0.11364 | 0.22047 | 0.19715 | 0.75859 |
KNNW | 99 | 0.19000 | 0.16577 | 0.14329 | 0.11766 | 0.22400 | 0.20079 | 0.76012 |
KNNW | 100 | 0.19000 | 0.16577 | 0.14340 | 0.11777 | 0.22400 | 0.20079 | 0.76019 |
LOF | 88 | 0.15000 | 0.12457 | 0.11172 | 0.08515 | 0.21220 | 0.18864 | 0.74393 |
LOF | 95 | 0.17000 | 0.14517 | 0.11503 | 0.08856 | 0.20812 | 0.18443 | 0.74527 |
LOF | 100 | 0.17000 | 0.14517 | 0.11732 | 0.09092 | 0.21024 | 0.18662 | 0.74555 |
SimplifiedLOF | 1 | 0.10000 | 0.07308 | 0.05264 | 0.02430 | 0.12579 | 0.09964 | 0.54585 |
SimplifiedLOF | 93 | 0.10000 | 0.07308 | 0.07945 | 0.05191 | 0.16196 | 0.13689 | 0.71774 |
SimplifiedLOF | 100 | 0.10000 | 0.07308 | 0.08202 | 0.05457 | 0.15955 | 0.13441 | 0.72038 |
LoOP | 1 | 0.10000 | 0.07308 | 0.05264 | 0.02430 | 0.12579 | 0.09964 | 0.54585 |
LoOP | 95 | 0.09000 | 0.06278 | 0.07501 | 0.04734 | 0.15678 | 0.13156 | 0.71297 |
LoOP | 100 | 0.09000 | 0.06278 | 0.07612 | 0.04848 | 0.15226 | 0.12690 | 0.71436 |
LDOF | 12 | 0.08000 | 0.05248 | 0.04796 | 0.01948 | 0.08889 | 0.06163 | 0.61909 |
LDOF | 97 | 0.06000 | 0.03188 | 0.05192 | 0.02356 | 0.11075 | 0.08415 | 0.66711 |
LDOF | 100 | 0.06000 | 0.03188 | 0.05248 | 0.02414 | 0.10951 | 0.08287 | 0.67035 |
ODIN | 53 | 0.04068 | 0.01199 | 0.04307 | 0.01445 | 0.09774 | 0.07075 | 0.65504 |
ODIN | 99 | 0.02136 | -0.00791 | 0.05004 | 0.02162 | 0.11905 | 0.09270 | 0.68420 |
ODIN | 100 | 0.02286 | -0.00637 | 0.05005 | 0.02164 | 0.11765 | 0.09125 | 0.68436 |
FastABOD | 3 | 0.04000 | 0.01128 | 0.03150 | 0.00253 | 0.06004 | 0.03192 | 0.49988 |
FastABOD | 11 | 0.03000 | 0.00098 | 0.02803 | -0.00104 | 0.06084 | 0.03275 | 0.49133 |
KDEOS | 2 | 0.04000 | 0.01128 | 0.03035 | 0.00135 | 0.05873 | 0.03057 | 0.51707 |
KDEOS | 4 | 0.04000 | 0.01128 | 0.03650 | 0.00768 | 0.06824 | 0.04037 | 0.53814 |
KDEOS | 99 | 0.03000 | 0.00098 | 0.03308 | 0.00416 | 0.07426 | 0.04657 | 0.57296 |
LDF | 42 | 0.32000 | 0.29966 | 0.26458 | 0.24258 | 0.33333 | 0.31339 | 0.75857 |
LDF | 52 | 0.37000 | 0.35115 | 0.26284 | 0.24079 | 0.37000 | 0.35115 | 0.76219 |
LDF | 96 | 0.33000 | 0.30996 | 0.24344 | 0.22081 | 0.34225 | 0.32257 | 0.78539 |
INFLO | 79 | 0.09000 | 0.06278 | 0.06162 | 0.03355 | 0.13245 | 0.10650 | 0.69455 |
INFLO | 94 | 0.09000 | 0.06278 | 0.06502 | 0.03706 | 0.13861 | 0.11285 | 0.69910 |
INFLO | 100 | 0.09000 | 0.06278 | 0.06624 | 0.03831 | 0.13836 | 0.11259 | 0.70243 |
COF | 98 | 0.27000 | 0.24816 | 0.24353 | 0.22090 | 0.29204 | 0.27086 | 0.73346 |
COF | 100 | 0.27000 | 0.24816 | 0.24372 | 0.22109 | 0.28829 | 0.26700 | 0.73424 |