Wilt (2% of outliers version#08)
The data set differentiates diseased trees from other land covers. The former are considered outliers here.
Download all data set variants used (7.2 MB). You can also access the original data. (merge train and test [wilt.zip])
- Normalized, without duplicates
- Normalized, duplicates
- Not normalized, without duplicates
- Not normalized, duplicates
Normalized, without duplicates
This version contains 5 attributes, 4655 objects, 93 outliers (2.00%)
Download raw algorithm results (39.6 MB) Download raw algorithm evaluation table (73.4 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 | 0.00000 | -0.02039 | 0.02365 | 0.00375 | 0.06104 | 0.04190 | 0.60971 |
KNNW | 1 | 0.00000 | -0.02039 | 0.02586 | 0.00600 | 0.06278 | 0.04367 | 0.63949 |
KNNW | 2 | 0.00000 | -0.02039 | 0.02483 | 0.00495 | 0.06333 | 0.04423 | 0.63008 |
LOF | 2 | 0.08602 | 0.06739 | 0.04705 | 0.02762 | 0.11438 | 0.09632 | 0.67947 |
LOF | 3 | 0.03226 | 0.01253 | 0.04250 | 0.02298 | 0.11111 | 0.09299 | 0.68876 |
SimplifiedLOF | 2 | 0.08602 | 0.06739 | 0.04601 | 0.02656 | 0.09659 | 0.07817 | 0.72587 |
SimplifiedLOF | 4 | 0.04301 | 0.02350 | 0.05680 | 0.03757 | 0.13828 | 0.12071 | 0.75633 |
LoOP | 2 | 0.05376 | 0.03447 | 0.04463 | 0.02515 | 0.09272 | 0.07422 | 0.72284 |
LoOP | 4 | 0.03226 | 0.01253 | 0.05452 | 0.03525 | 0.13580 | 0.11819 | 0.74955 |
LoOP | 8 | 0.03226 | 0.01253 | 0.05037 | 0.03101 | 0.12112 | 0.10320 | 0.75041 |
LDOF | 3 | 0.06452 | 0.04545 | 0.03554 | 0.01588 | 0.08054 | 0.06179 | 0.65169 |
LDOF | 6 | 0.04301 | 0.02350 | 0.05372 | 0.03443 | 0.14675 | 0.12936 | 0.75500 |
LDOF | 10 | 0.03226 | 0.01253 | 0.05559 | 0.03634 | 0.13158 | 0.11388 | 0.78701 |
ODIN | 3 | 0.08861 | 0.07003 | 0.05156 | 0.03222 | 0.12727 | 0.10948 | 0.73765 |
ODIN | 4 | 0.06195 | 0.04282 | 0.05343 | 0.03413 | 0.13109 | 0.11337 | 0.74554 |
ODIN | 5 | 0.06839 | 0.04940 | 0.05418 | 0.03490 | 0.12754 | 0.10975 | 0.73756 |
ODIN | 6 | 0.07040 | 0.05145 | 0.05376 | 0.03447 | 0.13974 | 0.12220 | 0.73085 |
FastABOD | 3 | 0.00000 | -0.02039 | 0.02464 | 0.00476 | 0.05594 | 0.03669 | 0.60816 |
FastABOD | 4 | 0.00000 | -0.02039 | 0.02567 | 0.00581 | 0.06215 | 0.04303 | 0.63250 |
FastABOD | 5 | 0.00000 | -0.02039 | 0.02544 | 0.00557 | 0.06348 | 0.04439 | 0.63328 |
FastABOD | 9 | 0.00000 | -0.02039 | 0.02447 | 0.00458 | 0.06403 | 0.04495 | 0.62282 |
KDEOS | 21 | 0.10753 | 0.08933 | 0.08261 | 0.06391 | 0.18576 | 0.16916 | 0.79016 |
KDEOS | 22 | 0.11828 | 0.10030 | 0.08130 | 0.06257 | 0.18621 | 0.16962 | 0.79034 |
KDEOS | 25 | 0.13978 | 0.12225 | 0.07821 | 0.05942 | 0.15942 | 0.14228 | 0.78685 |
KDEOS | 30 | 0.12903 | 0.11128 | 0.07960 | 0.06084 | 0.15493 | 0.13770 | 0.79122 |
LDF | 2 | 0.09677 | 0.07836 | 0.04421 | 0.02473 | 0.10196 | 0.08365 | 0.66301 |
LDF | 3 | 0.02151 | 0.00156 | 0.03668 | 0.01704 | 0.08491 | 0.06625 | 0.67398 |
INFLO | 1 | 0.06452 | 0.04545 | 0.03695 | 0.01732 | 0.08194 | 0.06322 | 0.66578 |
INFLO | 4 | 0.05376 | 0.03447 | 0.04235 | 0.02282 | 0.10335 | 0.08507 | 0.70068 |
INFLO | 6 | 0.02151 | 0.00156 | 0.03851 | 0.01891 | 0.11250 | 0.09441 | 0.65642 |
COF | 4 | 0.07527 | 0.05642 | 0.05176 | 0.03243 | 0.12325 | 0.10538 | 0.74576 |
COF | 5 | 0.07527 | 0.05642 | 0.05300 | 0.03370 | 0.11550 | 0.09747 | 0.73989 |
Plots
Normalized, duplicates
This version contains 5 attributes, 4671 objects, 93 outliers (1.99%)
Download raw algorithm results (39.7 MB) Download raw algorithm evaluation table (72.7 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 | 0.00000 | -0.02031 | 0.02346 | 0.00362 | 0.05892 | 0.03980 | 0.61267 |
KNNW | 1 | 0.00000 | -0.02031 | 0.02344 | 0.00360 | 0.05941 | 0.04030 | 0.60312 |
KNNW | 2 | 0.00000 | -0.02031 | 0.02389 | 0.00406 | 0.06058 | 0.04149 | 0.61971 |
LOF | 4 | 0.03226 | 0.01260 | 0.03961 | 0.02010 | 0.09964 | 0.08135 | 0.68559 |
LOF | 5 | 0.03226 | 0.01260 | 0.04008 | 0.02058 | 0.09293 | 0.07450 | 0.70679 |
LOF | 6 | 0.02151 | 0.00163 | 0.03934 | 0.01983 | 0.08880 | 0.07029 | 0.71178 |
LOF | 8 | 0.04301 | 0.02357 | 0.03458 | 0.01497 | 0.07414 | 0.05533 | 0.68414 |
SimplifiedLOF | 5 | 0.02151 | 0.00163 | 0.05011 | 0.03081 | 0.12007 | 0.10219 | 0.75598 |
SimplifiedLOF | 7 | 0.04301 | 0.02357 | 0.04931 | 0.03000 | 0.11138 | 0.09333 | 0.76140 |
SimplifiedLOF | 9 | 0.03226 | 0.01260 | 0.04792 | 0.02858 | 0.10588 | 0.08772 | 0.76514 |
LoOP | 5 | 0.02151 | 0.00163 | 0.05160 | 0.03233 | 0.12524 | 0.10747 | 0.75872 |
LoOP | 9 | 0.02151 | 0.00163 | 0.05013 | 0.03084 | 0.11816 | 0.10025 | 0.76944 |
LoOP | 11 | 0.04301 | 0.02357 | 0.04732 | 0.02797 | 0.09929 | 0.08099 | 0.75563 |
LDOF | 5 | 0.10753 | 0.08940 | 0.05779 | 0.03865 | 0.13270 | 0.11508 | 0.77618 |
LDOF | 6 | 0.06452 | 0.04551 | 0.05746 | 0.03831 | 0.13567 | 0.11811 | 0.77835 |
LDOF | 7 | 0.06452 | 0.04551 | 0.05936 | 0.04025 | 0.13426 | 0.11667 | 0.78034 |
LDOF | 12 | 0.04301 | 0.02357 | 0.05617 | 0.03700 | 0.11733 | 0.09940 | 0.80232 |
ODIN | 4 | 0.05455 | 0.03534 | 0.05231 | 0.03306 | 0.11963 | 0.10174 | 0.76818 |
ODIN | 6 | 0.07509 | 0.05630 | 0.05490 | 0.03570 | 0.12200 | 0.10417 | 0.75052 |
ODIN | 7 | 0.06452 | 0.04551 | 0.05585 | 0.03667 | 0.12090 | 0.10304 | 0.76512 |
ODIN | 9 | 0.07968 | 0.06098 | 0.04951 | 0.03020 | 0.10386 | 0.08566 | 0.74396 |
FastABOD | 3 | 0.00000 | -0.02031 | 0.02442 | 0.00461 | 0.05698 | 0.03783 | 0.61378 |
FastABOD | 5 | 0.00000 | -0.02031 | 0.02532 | 0.00552 | 0.06165 | 0.04259 | 0.63406 |
FastABOD | 7 | 0.00000 | -0.02031 | 0.02447 | 0.00465 | 0.06259 | 0.04355 | 0.62597 |
KDEOS | 19 | 0.07527 | 0.05648 | 0.07459 | 0.05579 | 0.14685 | 0.12952 | 0.79906 |
KDEOS | 22 | 0.10753 | 0.08940 | 0.07404 | 0.05523 | 0.16162 | 0.14458 | 0.80811 |
KDEOS | 25 | 0.09677 | 0.07843 | 0.07264 | 0.05380 | 0.16505 | 0.14809 | 0.80504 |
KDEOS | 28 | 0.11828 | 0.10037 | 0.06823 | 0.04930 | 0.13368 | 0.11608 | 0.79963 |
LDF | 2 | 0.03226 | 0.01260 | 0.03316 | 0.01351 | 0.07692 | 0.05817 | 0.64826 |
LDF | 4 | 0.03226 | 0.01260 | 0.03431 | 0.01469 | 0.07536 | 0.05657 | 0.66219 |
LDF | 5 | 0.02151 | 0.00163 | 0.03302 | 0.01338 | 0.07740 | 0.05866 | 0.66605 |
LDF | 6 | 0.01075 | -0.00934 | 0.03210 | 0.01244 | 0.07197 | 0.05312 | 0.66825 |
INFLO | 3 | 0.03226 | 0.01260 | 0.03497 | 0.01537 | 0.09091 | 0.07244 | 0.63724 |
INFLO | 4 | 0.02151 | 0.00163 | 0.04016 | 0.02066 | 0.09793 | 0.07961 | 0.70420 |
INFLO | 6 | 0.01075 | -0.00934 | 0.03968 | 0.02017 | 0.11439 | 0.09640 | 0.67661 |
COF | 2 | 0.04301 | 0.02357 | 0.03504 | 0.01544 | 0.07724 | 0.05849 | 0.65423 |
COF | 4 | 0.03226 | 0.01260 | 0.03850 | 0.01897 | 0.08351 | 0.06489 | 0.70526 |
COF | 6 | 0.02151 | 0.00163 | 0.03502 | 0.01542 | 0.08031 | 0.06162 | 0.71087 |
Plots
Not normalized, without duplicates
This version contains 5 attributes, 4655 objects, 93 outliers (2.00%)
Download raw algorithm results (40.1 MB) Download raw algorithm evaluation table (72.3 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 | 0.00000 | -0.02039 | 0.04230 | 0.02278 | 0.10542 | 0.08719 | 0.77990 |
KNN | 3 | 0.00000 | -0.02039 | 0.04282 | 0.02330 | 0.10424 | 0.08598 | 0.78983 |
KNNW | 1 | 0.00000 | -0.02039 | 0.03991 | 0.02033 | 0.09677 | 0.07836 | 0.74035 |
KNNW | 6 | 0.00000 | -0.02039 | 0.04249 | 0.02297 | 0.10139 | 0.08308 | 0.78753 |
KNNW | 7 | 0.00000 | -0.02039 | 0.04247 | 0.02295 | 0.10239 | 0.08410 | 0.78802 |
KNNW | 10 | 0.00000 | -0.02039 | 0.04202 | 0.02249 | 0.10428 | 0.08602 | 0.78625 |
LOF | 1 | 0.06452 | 0.04545 | 0.03130 | 0.01155 | 0.09524 | 0.07679 | 0.55720 |
LOF | 19 | 0.02151 | 0.00156 | 0.09203 | 0.07352 | 0.19298 | 0.17653 | 0.88013 |
LOF | 20 | 0.03226 | 0.01253 | 0.09220 | 0.07370 | 0.20118 | 0.18490 | 0.87965 |
LOF | 23 | 0.04301 | 0.02350 | 0.09082 | 0.07229 | 0.20609 | 0.18990 | 0.87585 |
SimplifiedLOF | 1 | 0.05376 | 0.03447 | 0.03139 | 0.01165 | 0.06803 | 0.04903 | 0.57471 |
SimplifiedLOF | 27 | 0.03226 | 0.01253 | 0.08553 | 0.06689 | 0.19008 | 0.17357 | 0.87434 |
SimplifiedLOF | 35 | 0.00000 | -0.02039 | 0.08356 | 0.06488 | 0.18124 | 0.16455 | 0.87589 |
LoOP | 6 | 0.06452 | 0.04545 | 0.05239 | 0.03307 | 0.15082 | 0.13351 | 0.70442 |
LoOP | 27 | 0.03226 | 0.01253 | 0.08218 | 0.06347 | 0.18421 | 0.16758 | 0.86963 |
LoOP | 35 | 0.01075 | -0.00941 | 0.08145 | 0.06273 | 0.17778 | 0.16102 | 0.87357 |
LDOF | 7 | 0.06452 | 0.04545 | 0.03868 | 0.01908 | 0.09567 | 0.07724 | 0.65510 |
LDOF | 57 | 0.02151 | 0.00156 | 0.07552 | 0.05667 | 0.17379 | 0.15695 | 0.86656 |
LDOF | 58 | 0.02151 | 0.00156 | 0.07576 | 0.05692 | 0.17630 | 0.15951 | 0.86627 |
LDOF | 59 | 0.02151 | 0.00156 | 0.07577 | 0.05693 | 0.17589 | 0.15909 | 0.86587 |
ODIN | 25 | 0.09429 | 0.07583 | 0.09346 | 0.07498 | 0.17664 | 0.15985 | 0.87594 |
ODIN | 32 | 0.08602 | 0.06739 | 0.09776 | 0.07937 | 0.18667 | 0.17009 | 0.87044 |
ODIN | 36 | 0.09720 | 0.07880 | 0.09341 | 0.07493 | 0.19005 | 0.17353 | 0.86682 |
ODIN | 54 | 0.12698 | 0.10919 | 0.08815 | 0.06956 | 0.17004 | 0.15312 | 0.84289 |
FastABOD | 3 | 0.00000 | -0.02039 | 0.02624 | 0.00639 | 0.05675 | 0.03752 | 0.63226 |
FastABOD | 17 | 0.00000 | -0.02039 | 0.02881 | 0.00901 | 0.07369 | 0.05481 | 0.65934 |
FastABOD | 23 | 0.00000 | -0.02039 | 0.02874 | 0.00894 | 0.07467 | 0.05580 | 0.65787 |
KDEOS | 67 | 0.15054 | 0.13322 | 0.08384 | 0.06516 | 0.15054 | 0.13322 | 0.84004 |
KDEOS | 96 | 0.15054 | 0.13322 | 0.10266 | 0.08437 | 0.17178 | 0.15490 | 0.84885 |
KDEOS | 100 | 0.15054 | 0.13322 | 0.10194 | 0.08363 | 0.17391 | 0.15707 | 0.84924 |
LDF | 1 | 0.08602 | 0.06739 | 0.03123 | 0.01148 | 0.08738 | 0.06877 | 0.56629 |
LDF | 12 | 0.03226 | 0.01253 | 0.09748 | 0.07908 | 0.20669 | 0.19051 | 0.88275 |
LDF | 13 | 0.04301 | 0.02350 | 0.09745 | 0.07905 | 0.21472 | 0.19872 | 0.88164 |
INFLO | 13 | 0.07527 | 0.05642 | 0.06028 | 0.04112 | 0.15011 | 0.13278 | 0.76698 |
INFLO | 26 | 0.03226 | 0.01253 | 0.07367 | 0.05479 | 0.18994 | 0.17343 | 0.83783 |
COF | 27 | 0.18280 | 0.16614 | 0.12582 | 0.10800 | 0.23308 | 0.21745 | 0.88044 |
COF | 31 | 0.21505 | 0.19905 | 0.13055 | 0.11283 | 0.24080 | 0.22533 | 0.87699 |
COF | 34 | 0.22581 | 0.21002 | 0.12929 | 0.11154 | 0.25758 | 0.24244 | 0.87081 |
COF | 36 | 0.19355 | 0.17711 | 0.12503 | 0.10719 | 0.26148 | 0.24643 | 0.86991 |
Plots
Not normalized, duplicates
This version contains 5 attributes, 4671 objects, 93 outliers (1.99%)
Download raw algorithm results (40.2 MB) Download raw algorithm evaluation table (71.5 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 | 0.00000 | -0.02031 | 0.04450 | 0.02509 | 0.10627 | 0.08811 | 0.78567 |
KNN | 3 | 0.00000 | -0.02031 | 0.04592 | 0.02654 | 0.11197 | 0.09393 | 0.79728 |
KNNW | 1 | 0.00000 | -0.02031 | 0.03889 | 0.01936 | 0.09420 | 0.07580 | 0.72853 |
KNNW | 5 | 0.00000 | -0.02031 | 0.04505 | 0.02565 | 0.10759 | 0.08946 | 0.79462 |
KNNW | 6 | 0.00000 | -0.02031 | 0.04498 | 0.02558 | 0.10928 | 0.09119 | 0.79435 |
LOF | 5 | 0.09677 | 0.07843 | 0.07453 | 0.05573 | 0.17349 | 0.15670 | 0.80399 |
LOF | 13 | 0.07527 | 0.05648 | 0.10220 | 0.08396 | 0.20441 | 0.18825 | 0.88102 |
LOF | 18 | 0.07527 | 0.05648 | 0.10100 | 0.08274 | 0.21222 | 0.19622 | 0.88030 |
SimplifiedLOF | 5 | 0.08602 | 0.06745 | 0.05483 | 0.03562 | 0.13592 | 0.11837 | 0.72076 |
SimplifiedLOF | 22 | 0.07527 | 0.05648 | 0.09777 | 0.07944 | 0.21142 | 0.19540 | 0.87749 |
SimplifiedLOF | 28 | 0.05376 | 0.03454 | 0.09639 | 0.07803 | 0.19789 | 0.18160 | 0.88099 |
LoOP | 15 | 0.08602 | 0.06745 | 0.08601 | 0.06744 | 0.18231 | 0.16569 | 0.84091 |
LoOP | 22 | 0.07527 | 0.05648 | 0.09346 | 0.07504 | 0.21145 | 0.19543 | 0.87105 |
LoOP | 31 | 0.06452 | 0.04551 | 0.09412 | 0.07572 | 0.20147 | 0.18525 | 0.87827 |
LoOP | 34 | 0.04301 | 0.02357 | 0.09338 | 0.07496 | 0.19957 | 0.18331 | 0.87862 |
LDOF | 19 | 0.11828 | 0.10037 | 0.07028 | 0.05139 | 0.14583 | 0.12848 | 0.80913 |
LDOF | 41 | 0.04301 | 0.02357 | 0.08697 | 0.06842 | 0.20441 | 0.18825 | 0.87192 |
LDOF | 50 | 0.05376 | 0.03454 | 0.08830 | 0.06978 | 0.18930 | 0.17283 | 0.87443 |
LDOF | 55 | 0.05376 | 0.03454 | 0.08818 | 0.06966 | 0.18299 | 0.16639 | 0.87560 |
ODIN | 27 | 0.11203 | 0.09399 | 0.11189 | 0.09385 | 0.21809 | 0.20220 | 0.88201 |
ODIN | 32 | 0.10249 | 0.08425 | 0.11493 | 0.09695 | 0.23729 | 0.22179 | 0.88099 |
ODIN | 42 | 0.15152 | 0.13428 | 0.11039 | 0.09232 | 0.20690 | 0.19079 | 0.87011 |
FastABOD | 4 | 0.01075 | -0.00934 | 0.03108 | 0.01140 | 0.07447 | 0.05567 | 0.66552 |
FastABOD | 6 | 0.00000 | -0.02031 | 0.03126 | 0.01158 | 0.07505 | 0.05626 | 0.67353 |
FastABOD | 14 | 0.00000 | -0.02031 | 0.03191 | 0.01224 | 0.07306 | 0.05423 | 0.67713 |
KDEOS | 96 | 0.20430 | 0.18814 | 0.12476 | 0.10698 | 0.22936 | 0.21370 | 0.85544 |
KDEOS | 97 | 0.19355 | 0.17717 | 0.12616 | 0.10841 | 0.21905 | 0.20318 | 0.85543 |
KDEOS | 99 | 0.18280 | 0.16619 | 0.12589 | 0.10813 | 0.21739 | 0.20149 | 0.85549 |
LDF | 5 | 0.10753 | 0.08940 | 0.08704 | 0.06849 | 0.18400 | 0.16742 | 0.84899 |
LDF | 8 | 0.09677 | 0.07843 | 0.10348 | 0.08527 | 0.21159 | 0.19557 | 0.88531 |
LDF | 10 | 0.09677 | 0.07843 | 0.10582 | 0.08766 | 0.21765 | 0.20175 | 0.88462 |
LDF | 14 | 0.08602 | 0.06745 | 0.10224 | 0.08400 | 0.21839 | 0.20251 | 0.88027 |
INFLO | 3 | 0.08602 | 0.06745 | 0.03881 | 0.01929 | 0.10453 | 0.08634 | 0.63631 |
INFLO | 22 | 0.08602 | 0.06745 | 0.08265 | 0.06401 | 0.18337 | 0.16678 | 0.83905 |
INFLO | 28 | 0.06452 | 0.04551 | 0.08159 | 0.06293 | 0.18526 | 0.16871 | 0.84249 |
INFLO | 40 | 0.03226 | 0.01260 | 0.07628 | 0.05752 | 0.18688 | 0.17036 | 0.82112 |
COF | 21 | 0.17204 | 0.15522 | 0.11584 | 0.09788 | 0.22010 | 0.20425 | 0.88633 |
COF | 28 | 0.18280 | 0.16619 | 0.12028 | 0.10240 | 0.23776 | 0.22228 | 0.88502 |
COF | 32 | 0.16129 | 0.14425 | 0.11428 | 0.09628 | 0.24603 | 0.23072 | 0.87857 |