SpamBase (20% of outliers version#01)
A data set representing emails classified as spam (outliers) or nonspam.
Download all data set variants used (25.4 MB). You can also access the original data. (spambase.data)
- Normalized, without duplicates
- Normalized, duplicates
- Not normalized, without duplicates
- Not normalized, duplicates
Normalized, without duplicates
This version contains 57 attributes, 3160 objects, 632 outliers (20.00%)
Download raw algorithm results (28.2 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 | 3 | 0.28481 | 0.10601 | 0.27237 | 0.09046 | 0.38744 | 0.23430 | 0.62269 |
KNN | 6 | 0.27532 | 0.09415 | 0.27983 | 0.09979 | 0.40191 | 0.25239 | 0.64429 |
KNN | 12 | 0.28165 | 0.10206 | 0.27450 | 0.09313 | 0.40240 | 0.25300 | 0.64624 |
KNN | 13 | 0.28006 | 0.10008 | 0.27376 | 0.09220 | 0.40538 | 0.25672 | 0.64570 |
KNNW | 1 | 0.27373 | 0.09217 | 0.24558 | 0.05697 | 0.33593 | 0.16991 | 0.53461 |
KNNW | 14 | 0.27215 | 0.09019 | 0.27206 | 0.09007 | 0.39743 | 0.24679 | 0.63340 |
KNNW | 28 | 0.27215 | 0.09019 | 0.26932 | 0.08664 | 0.39811 | 0.24764 | 0.63834 |
KNNW | 33 | 0.27373 | 0.09217 | 0.26830 | 0.08537 | 0.40067 | 0.25084 | 0.63812 |
LOF | 2 | 0.24367 | 0.05459 | 0.23841 | 0.04802 | 0.33550 | 0.16937 | 0.53006 |
LOF | 3 | 0.24684 | 0.05854 | 0.23470 | 0.04337 | 0.33713 | 0.17142 | 0.52498 |
LOF | 87 | 0.20728 | 0.00910 | 0.22604 | 0.03255 | 0.36081 | 0.20101 | 0.55817 |
LOF | 100 | 0.21835 | 0.02294 | 0.22669 | 0.03336 | 0.35834 | 0.19793 | 0.56224 |
SimplifiedLOF | 2 | 0.25791 | 0.07239 | 0.23368 | 0.04210 | 0.33413 | 0.16766 | 0.52602 |
SimplifiedLOF | 3 | 0.24842 | 0.06052 | 0.23605 | 0.04507 | 0.33360 | 0.16700 | 0.52064 |
SimplifiedLOF | 93 | 0.15823 | -0.05222 | 0.20489 | 0.00611 | 0.35252 | 0.19065 | 0.50126 |
LoOP | 2 | 0.25000 | 0.06250 | 0.22296 | 0.02870 | 0.33333 | 0.16667 | 0.52502 |
LoOP | 5 | 0.24525 | 0.05657 | 0.23479 | 0.04349 | 0.33333 | 0.16667 | 0.52497 |
LoOP | 91 | 0.19462 | -0.00672 | 0.22053 | 0.02566 | 0.35319 | 0.19149 | 0.52808 |
LoOP | 100 | 0.21044 | 0.01305 | 0.22216 | 0.02770 | 0.35227 | 0.19034 | 0.53240 |
LDOF | 5 | 0.24367 | 0.05459 | 0.23273 | 0.04091 | 0.33369 | 0.16711 | 0.52166 |
LDOF | 6 | 0.24367 | 0.05459 | 0.23596 | 0.04495 | 0.33404 | 0.16755 | 0.52362 |
LDOF | 14 | 0.21677 | 0.02097 | 0.21813 | 0.02266 | 0.33704 | 0.17130 | 0.53338 |
LDOF | 96 | 0.18671 | -0.01661 | 0.21598 | 0.01997 | 0.35089 | 0.18861 | 0.51574 |
ODIN | 42 | 0.24416 | 0.05520 | 0.23350 | 0.04188 | 0.34911 | 0.18638 | 0.56689 |
ODIN | 100 | 0.24146 | 0.05182 | 0.24141 | 0.05176 | 0.35195 | 0.18994 | 0.57719 |
FastABOD | 4 | 0.27057 | 0.08821 | 0.24783 | 0.05979 | 0.34394 | 0.17993 | 0.57490 |
FastABOD | 5 | 0.25949 | 0.07437 | 0.24803 | 0.06003 | 0.34217 | 0.17771 | 0.57183 |
FastABOD | 69 | 0.24684 | 0.05854 | 0.24582 | 0.05727 | 0.35346 | 0.19182 | 0.56807 |
KDEOS | 38 | 0.22943 | 0.03679 | 0.21020 | 0.01275 | 0.33369 | 0.16711 | 0.51417 |
KDEOS | 40 | 0.22627 | 0.03283 | 0.21080 | 0.01350 | 0.33351 | 0.16689 | 0.51525 |
KDEOS | 53 | 0.20886 | 0.01108 | 0.20597 | 0.00746 | 0.33617 | 0.17022 | 0.52051 |
KDEOS | 98 | 0.20728 | 0.00910 | 0.20388 | 0.00485 | 0.34071 | 0.17589 | 0.51202 |
LDF | 94 | 0.25158 | 0.06448 | 0.25010 | 0.06262 | 0.38547 | 0.23184 | 0.61872 |
LDF | 97 | 0.25633 | 0.07041 | 0.25043 | 0.06304 | 0.38242 | 0.22802 | 0.62064 |
LDF | 99 | 0.25949 | 0.07437 | 0.25029 | 0.06286 | 0.38441 | 0.23051 | 0.62042 |
LDF | 100 | 0.25791 | 0.07239 | 0.25075 | 0.06343 | 0.38518 | 0.23147 | 0.62036 |
INFLO | 3 | 0.24209 | 0.05261 | 0.23227 | 0.04034 | 0.33423 | 0.16779 | 0.52353 |
INFLO | 6 | 0.24525 | 0.05657 | 0.21974 | 0.02467 | 0.33360 | 0.16700 | 0.52863 |
INFLO | 97 | 0.21835 | 0.02294 | 0.22704 | 0.03379 | 0.36304 | 0.20380 | 0.55796 |
INFLO | 99 | 0.21677 | 0.02097 | 0.22718 | 0.03397 | 0.36249 | 0.20312 | 0.55847 |
COF | 2 | 0.25949 | 0.07437 | 0.22717 | 0.03396 | 0.33413 | 0.16766 | 0.52227 |
COF | 5 | 0.23576 | 0.04470 | 0.23490 | 0.04362 | 0.33333 | 0.16667 | 0.51940 |
COF | 96 | 0.15823 | -0.05222 | 0.19219 | -0.00976 | 0.34066 | 0.17582 | 0.48820 |
Plots
Normalized, duplicates
This version contains 57 attributes, 3485 objects, 697 outliers (20.00%)
Download raw algorithm results (29.1 MB) Download raw algorithm evaluation table (74.3 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 | 7 | 0.32425 | 0.15531 | 0.29075 | 0.11344 | 0.41209 | 0.26511 | 0.67263 |
KNN | 9 | 0.31851 | 0.14813 | 0.28739 | 0.10924 | 0.41461 | 0.26826 | 0.67374 |
KNNW | 13 | 0.29699 | 0.12123 | 0.27710 | 0.09638 | 0.39835 | 0.24794 | 0.65589 |
KNNW | 21 | 0.30129 | 0.12661 | 0.27461 | 0.09327 | 0.40481 | 0.25602 | 0.65751 |
KNNW | 23 | 0.29986 | 0.12482 | 0.27397 | 0.09246 | 0.40671 | 0.25838 | 0.65785 |
KNNW | 31 | 0.29699 | 0.12123 | 0.27280 | 0.09100 | 0.40543 | 0.25679 | 0.65836 |
LOF | 12 | 0.23960 | 0.04950 | 0.21940 | 0.02424 | 0.35004 | 0.18755 | 0.55311 |
LOF | 19 | 0.21521 | 0.01901 | 0.21601 | 0.02002 | 0.35387 | 0.19234 | 0.55915 |
LOF | 37 | 0.18938 | -0.01327 | 0.20703 | 0.00879 | 0.36344 | 0.20430 | 0.54842 |
SimplifiedLOF | 1 | 0.22382 | 0.02977 | 0.22166 | 0.02707 | 0.33341 | 0.16677 | 0.50859 |
SimplifiedLOF | 5 | 0.24677 | 0.05846 | 0.21549 | 0.01937 | 0.33349 | 0.16687 | 0.51534 |
SimplifiedLOF | 37 | 0.19512 | -0.00610 | 0.20324 | 0.00406 | 0.34494 | 0.18118 | 0.53385 |
SimplifiedLOF | 91 | 0.15065 | -0.06169 | 0.20196 | 0.00245 | 0.35942 | 0.19928 | 0.51845 |
LoOP | 2 | 0.23386 | 0.04232 | 0.23348 | 0.04184 | 0.33333 | 0.16667 | 0.52986 |
LoOP | 5 | 0.24247 | 0.05308 | 0.21785 | 0.02231 | 0.33333 | 0.16667 | 0.53235 |
LoOP | 43 | 0.19799 | -0.00251 | 0.21380 | 0.01725 | 0.35542 | 0.19428 | 0.54939 |
LoOP | 97 | 0.17934 | -0.02582 | 0.21051 | 0.01314 | 0.36203 | 0.20254 | 0.54174 |
LDOF | 3 | 0.22812 | 0.03515 | 0.21863 | 0.02329 | 0.33333 | 0.16667 | 0.48810 |
LDOF | 4 | 0.24103 | 0.05129 | 0.21409 | 0.01761 | 0.33461 | 0.16827 | 0.49906 |
LDOF | 78 | 0.19943 | -0.00072 | 0.21356 | 0.01695 | 0.35874 | 0.19843 | 0.54860 |
LDOF | 99 | 0.18221 | -0.02224 | 0.21189 | 0.01486 | 0.35983 | 0.19979 | 0.54459 |
ODIN | 49 | 0.25095 | 0.06368 | 0.23941 | 0.04926 | 0.36152 | 0.20190 | 0.58182 |
ODIN | 100 | 0.26777 | 0.08471 | 0.23967 | 0.04959 | 0.35479 | 0.19349 | 0.58279 |
FastABOD | 30 | 0.24103 | 0.05129 | 0.21755 | 0.02194 | 0.34835 | 0.18544 | 0.54887 |
FastABOD | 99 | 0.24247 | 0.05308 | 0.22148 | 0.02686 | 0.34817 | 0.18522 | 0.55182 |
FastABOD | 100 | 0.24390 | 0.05488 | 0.22153 | 0.02692 | 0.34817 | 0.18522 | 0.55179 |
KDEOS | 3 | 0.22095 | 0.02618 | 0.21887 | 0.02359 | 0.33511 | 0.16888 | 0.50235 |
KDEOS | 33 | 0.23099 | 0.03874 | 0.20673 | 0.00842 | 0.33502 | 0.16877 | 0.51707 |
KDEOS | 69 | 0.21808 | 0.02260 | 0.21839 | 0.02299 | 0.34180 | 0.17724 | 0.54643 |
KDEOS | 99 | 0.19225 | -0.00968 | 0.20484 | 0.00605 | 0.35134 | 0.18917 | 0.53736 |
LDF | 5 | 0.27690 | 0.09613 | 0.23825 | 0.04782 | 0.34463 | 0.18079 | 0.56298 |
LDF | 9 | 0.20516 | 0.00646 | 0.22569 | 0.03211 | 0.36240 | 0.20300 | 0.57701 |
LDF | 16 | 0.18508 | -0.01865 | 0.21220 | 0.01525 | 0.36921 | 0.21152 | 0.55012 |
INFLO | 11 | 0.23242 | 0.04053 | 0.21219 | 0.01524 | 0.34638 | 0.18297 | 0.54007 |
INFLO | 13 | 0.22956 | 0.03694 | 0.21727 | 0.02159 | 0.35237 | 0.19047 | 0.54891 |
INFLO | 18 | 0.23099 | 0.03874 | 0.21489 | 0.01861 | 0.35245 | 0.19057 | 0.55238 |
INFLO | 91 | 0.15495 | -0.05631 | 0.21052 | 0.01315 | 0.36841 | 0.21051 | 0.53314 |
COF | 1 | 0.22525 | 0.03156 | 0.22578 | 0.03223 | 0.34158 | 0.17697 | 0.52221 |
COF | 7 | 0.25108 | 0.06385 | 0.21671 | 0.02089 | 0.33341 | 0.16677 | 0.51887 |
COF | 28 | 0.22812 | 0.03515 | 0.21312 | 0.01640 | 0.33836 | 0.17295 | 0.53007 |
COF | 85 | 0.14204 | -0.07245 | 0.18437 | -0.01954 | 0.35363 | 0.19204 | 0.48146 |
Plots
Not normalized, without duplicates
This version contains 57 attributes, 3160 objects, 632 outliers (20.00%)
Download raw algorithm results (27.5 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 | 7 | 0.44620 | 0.30775 | 0.44401 | 0.30501 | 0.45896 | 0.32370 | 0.73830 |
KNN | 8 | 0.43987 | 0.29984 | 0.44473 | 0.30591 | 0.46459 | 0.33073 | 0.73852 |
KNN | 51 | 0.41930 | 0.27413 | 0.41448 | 0.26810 | 0.46502 | 0.33128 | 0.73727 |
KNN | 98 | 0.41772 | 0.27215 | 0.40951 | 0.26188 | 0.45977 | 0.32471 | 0.73915 |
KNNW | 14 | 0.43987 | 0.29984 | 0.44174 | 0.30218 | 0.45851 | 0.32313 | 0.73450 |
KNNW | 16 | 0.43987 | 0.29984 | 0.44211 | 0.30264 | 0.46007 | 0.32509 | 0.73489 |
KNNW | 35 | 0.41930 | 0.27413 | 0.43047 | 0.28809 | 0.46323 | 0.32903 | 0.73570 |
KNNW | 100 | 0.41930 | 0.27413 | 0.41698 | 0.27123 | 0.46185 | 0.32731 | 0.73825 |
LOF | 94 | 0.30380 | 0.12975 | 0.28728 | 0.10910 | 0.37397 | 0.21746 | 0.61889 |
LOF | 100 | 0.30222 | 0.12777 | 0.28978 | 0.11223 | 0.37622 | 0.22028 | 0.62308 |
SimplifiedLOF | 72 | 0.28323 | 0.10403 | 0.26915 | 0.08644 | 0.34733 | 0.18416 | 0.57818 |
SimplifiedLOF | 100 | 0.28006 | 0.10008 | 0.28551 | 0.10688 | 0.35485 | 0.19357 | 0.59142 |
LoOP | 1 | 0.25949 | 0.07437 | 0.25732 | 0.07165 | 0.33333 | 0.16667 | 0.51707 |
LoOP | 77 | 0.26108 | 0.07634 | 0.24322 | 0.05403 | 0.34231 | 0.17789 | 0.55852 |
LoOP | 86 | 0.26424 | 0.08030 | 0.24730 | 0.05913 | 0.33794 | 0.17242 | 0.56269 |
LoOP | 99 | 0.25633 | 0.07041 | 0.25210 | 0.06512 | 0.33761 | 0.17201 | 0.56756 |
LDOF | 2 | 0.24842 | 0.06052 | 0.24619 | 0.05774 | 0.33377 | 0.16722 | 0.47901 |
LDOF | 100 | 0.21203 | 0.01503 | 0.21383 | 0.01729 | 0.33351 | 0.16689 | 0.50404 |
ODIN | 25 | 0.17743 | -0.02821 | 0.21240 | 0.01550 | 0.36508 | 0.20635 | 0.54685 |
ODIN | 99 | 0.22231 | 0.02789 | 0.21688 | 0.02109 | 0.35795 | 0.19744 | 0.55368 |
ODIN | 100 | 0.22127 | 0.02659 | 0.21687 | 0.02108 | 0.35748 | 0.19685 | 0.55390 |
FastABOD | 3 | 0.40981 | 0.26226 | 0.40967 | 0.26209 | 0.44965 | 0.31206 | 0.72339 |
FastABOD | 6 | 0.39873 | 0.24842 | 0.41141 | 0.26426 | 0.45724 | 0.32154 | 0.72468 |
FastABOD | 9 | 0.39399 | 0.24248 | 0.41119 | 0.26399 | 0.46078 | 0.32597 | 0.72362 |
FastABOD | 100 | 0.39873 | 0.24842 | 0.41192 | 0.26490 | 0.45612 | 0.32015 | 0.72094 |
KDEOS | 80 | 0.22468 | 0.03085 | 0.22826 | 0.03532 | 0.34885 | 0.18606 | 0.56072 |
KDEOS | 99 | 0.21677 | 0.02097 | 0.23389 | 0.04236 | 0.35258 | 0.19073 | 0.56778 |
KDEOS | 100 | 0.21677 | 0.02097 | 0.23404 | 0.04255 | 0.35222 | 0.19027 | 0.56818 |
LDF | 93 | 0.39715 | 0.24644 | 0.39367 | 0.24208 | 0.42629 | 0.28286 | 0.69420 |
LDF | 97 | 0.39715 | 0.24644 | 0.39812 | 0.24764 | 0.43028 | 0.28785 | 0.69707 |
LDF | 98 | 0.39715 | 0.24644 | 0.39947 | 0.24934 | 0.42825 | 0.28531 | 0.69779 |
LDF | 100 | 0.39399 | 0.24248 | 0.39929 | 0.24912 | 0.42832 | 0.28541 | 0.69852 |
INFLO | 96 | 0.27848 | 0.09810 | 0.26806 | 0.08507 | 0.44137 | 0.30172 | 0.61635 |
INFLO | 100 | 0.27690 | 0.09612 | 0.27039 | 0.08798 | 0.44626 | 0.30783 | 0.62089 |
COF | 100 | 0.31962 | 0.14953 | 0.34296 | 0.17869 | 0.37049 | 0.21311 | 0.61884 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 3485 objects, 697 outliers (20.00%)
Download raw algorithm results (28.6 MB) Download raw algorithm evaluation table (73.6 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 | 7 | 0.46485 | 0.33106 | 0.46619 | 0.33274 | 0.47382 | 0.34227 | 0.76355 |
KNN | 83 | 0.44476 | 0.30595 | 0.44266 | 0.30332 | 0.48039 | 0.35049 | 0.76610 |
KNN | 89 | 0.44620 | 0.30775 | 0.44199 | 0.30249 | 0.47922 | 0.34902 | 0.76650 |
KNNW | 16 | 0.46198 | 0.32747 | 0.46405 | 0.33006 | 0.46637 | 0.33296 | 0.75910 |
KNNW | 82 | 0.45050 | 0.31313 | 0.45053 | 0.31317 | 0.48033 | 0.35041 | 0.76503 |
KNNW | 100 | 0.44620 | 0.30775 | 0.44899 | 0.31124 | 0.47920 | 0.34900 | 0.76556 |
LOF | 96 | 0.31277 | 0.14096 | 0.28458 | 0.10572 | 0.37657 | 0.22071 | 0.62688 |
LOF | 100 | 0.31133 | 0.13917 | 0.28901 | 0.11126 | 0.37861 | 0.22326 | 0.62967 |
SimplifiedLOF | 2 | 0.26112 | 0.07640 | 0.22153 | 0.02691 | 0.33357 | 0.16697 | 0.49870 |
SimplifiedLOF | 93 | 0.24677 | 0.05846 | 0.24022 | 0.05028 | 0.35752 | 0.19690 | 0.58466 |
SimplifiedLOF | 100 | 0.25108 | 0.06385 | 0.24801 | 0.06001 | 0.35528 | 0.19410 | 0.58941 |
LoOP | 3 | 0.24534 | 0.05667 | 0.22433 | 0.03042 | 0.33333 | 0.16667 | 0.52494 |
LoOP | 97 | 0.23529 | 0.04412 | 0.23225 | 0.04031 | 0.34868 | 0.18585 | 0.56756 |
LoOP | 100 | 0.23960 | 0.04950 | 0.23449 | 0.04312 | 0.34804 | 0.18505 | 0.56867 |
LDOF | 2 | 0.23816 | 0.04770 | 0.22625 | 0.03281 | 0.33349 | 0.16687 | 0.45579 |
LDOF | 100 | 0.18508 | -0.01865 | 0.20013 | 0.00016 | 0.34139 | 0.17674 | 0.50876 |
ODIN | 6 | 0.20033 | 0.00042 | 0.21651 | 0.02064 | 0.36463 | 0.20579 | 0.55845 |
ODIN | 13 | 0.17197 | -0.03504 | 0.21530 | 0.01912 | 0.36546 | 0.20682 | 0.56114 |
ODIN | 24 | 0.16243 | -0.04696 | 0.21104 | 0.01380 | 0.37734 | 0.22167 | 0.55741 |
ODIN | 99 | 0.21951 | 0.02439 | 0.21314 | 0.01643 | 0.35900 | 0.19875 | 0.55563 |
FastABOD | 76 | 0.41033 | 0.26291 | 0.41899 | 0.27374 | 0.46362 | 0.32952 | 0.73070 |
FastABOD | 96 | 0.41320 | 0.26650 | 0.41912 | 0.27390 | 0.46274 | 0.32842 | 0.73078 |
FastABOD | 100 | 0.41320 | 0.26650 | 0.41915 | 0.27393 | 0.46274 | 0.32842 | 0.73081 |
KDEOS | 11 | 0.21234 | 0.01542 | 0.19242 | -0.00947 | 0.33577 | 0.16971 | 0.48107 |
KDEOS | 100 | 0.21090 | 0.01363 | 0.22244 | 0.02805 | 0.35873 | 0.19841 | 0.56771 |
LDF | 98 | 0.38020 | 0.22525 | 0.40054 | 0.25067 | 0.40987 | 0.26233 | 0.68809 |
LDF | 100 | 0.37877 | 0.22346 | 0.40238 | 0.25298 | 0.41050 | 0.26312 | 0.68972 |
INFLO | 87 | 0.25251 | 0.06564 | 0.25733 | 0.07167 | 0.44635 | 0.30794 | 0.62355 |
INFLO | 91 | 0.26255 | 0.07819 | 0.26069 | 0.07586 | 0.44525 | 0.30656 | 0.62643 |
INFLO | 100 | 0.26973 | 0.08716 | 0.26367 | 0.07959 | 0.44301 | 0.30376 | 0.62280 |
COF | 86 | 0.28838 | 0.11047 | 0.25616 | 0.07020 | 0.36812 | 0.21016 | 0.61338 |
COF | 96 | 0.29555 | 0.11944 | 0.26964 | 0.08705 | 0.36683 | 0.20854 | 0.61470 |
COF | 97 | 0.29268 | 0.11585 | 0.27182 | 0.08977 | 0.36563 | 0.20703 | 0.61750 |
COF | 100 | 0.28551 | 0.10689 | 0.27388 | 0.09235 | 0.36545 | 0.20682 | 0.61748 |