SpamBase (10% of outliers version#04)
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, 2808 objects, 280 outliers (9.97%)
Download raw algorithm results (25.0 MB) Download raw algorithm evaluation table (70.0 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 | 2 | 0.24286 | 0.15900 | 0.19668 | 0.10770 | 0.30387 | 0.22676 | 0.70408 |
KNNW | 1 | 0.24643 | 0.16296 | 0.18675 | 0.09668 | 0.28909 | 0.21035 | 0.64855 |
KNNW | 4 | 0.24643 | 0.16296 | 0.19213 | 0.10265 | 0.29639 | 0.21845 | 0.68948 |
KNNW | 7 | 0.23929 | 0.15503 | 0.19334 | 0.10400 | 0.29455 | 0.21642 | 0.69484 |
KNNW | 10 | 0.23571 | 0.15106 | 0.19296 | 0.10358 | 0.28925 | 0.21052 | 0.69622 |
LOF | 27 | 0.09643 | -0.00365 | 0.13420 | 0.03831 | 0.26953 | 0.18862 | 0.64166 |
LOF | 99 | 0.16786 | 0.07569 | 0.15476 | 0.06114 | 0.25326 | 0.17055 | 0.64966 |
LOF | 100 | 0.16429 | 0.07172 | 0.15495 | 0.06135 | 0.25540 | 0.17293 | 0.65015 |
SimplifiedLOF | 2 | 0.12857 | 0.03205 | 0.10805 | 0.00925 | 0.18322 | 0.09276 | 0.52165 |
SimplifiedLOF | 36 | 0.08929 | -0.01158 | 0.12283 | 0.02567 | 0.23877 | 0.15446 | 0.61429 |
SimplifiedLOF | 38 | 0.08929 | -0.01158 | 0.12243 | 0.02524 | 0.24165 | 0.15765 | 0.61311 |
SimplifiedLOF | 100 | 0.10357 | 0.00428 | 0.12849 | 0.03196 | 0.22733 | 0.14175 | 0.60084 |
LoOP | 17 | 0.13571 | 0.03999 | 0.13183 | 0.03568 | 0.21605 | 0.12922 | 0.59669 |
LoOP | 54 | 0.11071 | 0.01222 | 0.13359 | 0.03762 | 0.24567 | 0.16212 | 0.62494 |
LoOP | 100 | 0.13214 | 0.03602 | 0.15140 | 0.05741 | 0.23906 | 0.15478 | 0.63409 |
LDOF | 5 | 0.13571 | 0.03999 | 0.11885 | 0.02125 | 0.19590 | 0.10684 | 0.54949 |
LDOF | 53 | 0.12143 | 0.02412 | 0.13317 | 0.03716 | 0.23579 | 0.15115 | 0.62666 |
LDOF | 95 | 0.11429 | 0.01618 | 0.14275 | 0.04780 | 0.24126 | 0.15722 | 0.61791 |
LDOF | 100 | 0.12143 | 0.02412 | 0.14367 | 0.04882 | 0.23580 | 0.15116 | 0.61864 |
ODIN | 96 | 0.16571 | 0.07331 | 0.15068 | 0.05661 | 0.25613 | 0.17374 | 0.63672 |
ODIN | 98 | 0.16800 | 0.07585 | 0.15124 | 0.05723 | 0.25411 | 0.17150 | 0.63776 |
ODIN | 100 | 0.16652 | 0.07420 | 0.15163 | 0.05766 | 0.25316 | 0.17045 | 0.63853 |
FastABOD | 4 | 0.23214 | 0.14710 | 0.17171 | 0.07997 | 0.27244 | 0.19186 | 0.65975 |
FastABOD | 10 | 0.21786 | 0.13123 | 0.17642 | 0.08520 | 0.27051 | 0.18971 | 0.66307 |
FastABOD | 56 | 0.21786 | 0.13123 | 0.17904 | 0.08811 | 0.28000 | 0.20025 | 0.66054 |
FastABOD | 70 | 0.22500 | 0.13916 | 0.18003 | 0.08921 | 0.27570 | 0.19548 | 0.66212 |
KDEOS | 13 | 0.13214 | 0.03602 | 0.11569 | 0.01774 | 0.19258 | 0.10315 | 0.53997 |
KDEOS | 17 | 0.11071 | 0.01222 | 0.13171 | 0.03554 | 0.20109 | 0.11260 | 0.55872 |
KDEOS | 24 | 0.11786 | 0.02015 | 0.12040 | 0.02297 | 0.21303 | 0.12586 | 0.57040 |
KDEOS | 34 | 0.12143 | 0.02412 | 0.11633 | 0.01845 | 0.20678 | 0.11893 | 0.57658 |
LDF | 7 | 0.12143 | 0.02412 | 0.14219 | 0.04718 | 0.25832 | 0.17617 | 0.64736 |
LDF | 87 | 0.17857 | 0.08759 | 0.14559 | 0.05095 | 0.23544 | 0.15076 | 0.63422 |
LDF | 100 | 0.15714 | 0.06379 | 0.14857 | 0.05427 | 0.25106 | 0.16811 | 0.64449 |
INFLO | 90 | 0.16429 | 0.07172 | 0.15583 | 0.06233 | 0.25702 | 0.17473 | 0.64917 |
INFLO | 100 | 0.15714 | 0.06379 | 0.15702 | 0.06366 | 0.25985 | 0.17787 | 0.65319 |
COF | 5 | 0.15357 | 0.05982 | 0.12112 | 0.02377 | 0.19808 | 0.10926 | 0.54757 |
COF | 30 | 0.13214 | 0.03602 | 0.14522 | 0.05054 | 0.24603 | 0.16252 | 0.64142 |
COF | 54 | 0.11786 | 0.02015 | 0.13172 | 0.03555 | 0.24691 | 0.16350 | 0.62987 |
Plots
Normalized, duplicates
This version contains 57 attributes, 3097 objects, 309 outliers (9.98%)
Download raw algorithm results (25.6 MB) Download raw algorithm evaluation table (74.8 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 | 3 | 0.22330 | 0.13722 | 0.21927 | 0.13274 | 0.32839 | 0.25395 | 0.75672 |
KNN | 5 | 0.24919 | 0.16598 | 0.22133 | 0.13503 | 0.33118 | 0.25706 | 0.75512 |
KNN | 6 | 0.24919 | 0.16598 | 0.22252 | 0.13635 | 0.32670 | 0.25208 | 0.75169 |
KNNW | 1 | 0.24595 | 0.16238 | 0.18452 | 0.09413 | 0.26834 | 0.18725 | 0.63875 |
KNNW | 10 | 0.22330 | 0.13722 | 0.21641 | 0.12956 | 0.31364 | 0.23757 | 0.74903 |
KNNW | 11 | 0.23625 | 0.15160 | 0.21670 | 0.12988 | 0.31139 | 0.23507 | 0.74853 |
KNNW | 14 | 0.23301 | 0.14800 | 0.21609 | 0.12920 | 0.31459 | 0.23862 | 0.74387 |
LOF | 13 | 0.15534 | 0.06172 | 0.13168 | 0.03544 | 0.22809 | 0.14253 | 0.63006 |
LOF | 15 | 0.14887 | 0.05453 | 0.13233 | 0.03616 | 0.23044 | 0.14515 | 0.63186 |
LOF | 24 | 0.11974 | 0.02218 | 0.12839 | 0.03179 | 0.23675 | 0.15215 | 0.63724 |
LOF | 27 | 0.11003 | 0.01140 | 0.12653 | 0.02973 | 0.23883 | 0.15447 | 0.63345 |
SimplifiedLOF | 2 | 0.13269 | 0.03656 | 0.11431 | 0.01614 | 0.18806 | 0.09807 | 0.52927 |
SimplifiedLOF | 48 | 0.08738 | -0.01377 | 0.11613 | 0.01817 | 0.22431 | 0.13833 | 0.60338 |
SimplifiedLOF | 80 | 0.06796 | -0.03534 | 0.11816 | 0.02042 | 0.22733 | 0.14169 | 0.59418 |
SimplifiedLOF | 86 | 0.06472 | -0.03893 | 0.11934 | 0.02174 | 0.22649 | 0.14076 | 0.59614 |
LoOP | 1 | 0.14887 | 0.05453 | 0.12580 | 0.02891 | 0.19776 | 0.10884 | 0.55496 |
LoOP | 56 | 0.11003 | 0.01140 | 0.12623 | 0.02939 | 0.22924 | 0.14382 | 0.61886 |
LoOP | 59 | 0.11003 | 0.01140 | 0.12561 | 0.02870 | 0.23140 | 0.14622 | 0.61819 |
LoOP | 99 | 0.10680 | 0.00780 | 0.13153 | 0.03528 | 0.23014 | 0.14482 | 0.61508 |
LDOF | 3 | 0.12945 | 0.03296 | 0.11806 | 0.02031 | 0.18999 | 0.10022 | 0.51754 |
LDOF | 84 | 0.11327 | 0.01499 | 0.12929 | 0.03279 | 0.22931 | 0.14389 | 0.61474 |
ODIN | 90 | 0.15858 | 0.06532 | 0.15067 | 0.05654 | 0.24412 | 0.16035 | 0.63554 |
ODIN | 99 | 0.16227 | 0.06943 | 0.15230 | 0.05835 | 0.24019 | 0.15598 | 0.63955 |
ODIN | 100 | 0.16251 | 0.06968 | 0.15221 | 0.05824 | 0.23985 | 0.15560 | 0.63946 |
FastABOD | 20 | 0.17152 | 0.07970 | 0.15030 | 0.05613 | 0.24970 | 0.16655 | 0.65030 |
FastABOD | 78 | 0.16828 | 0.07610 | 0.15881 | 0.06558 | 0.25087 | 0.16784 | 0.65142 |
FastABOD | 88 | 0.16828 | 0.07610 | 0.15911 | 0.06591 | 0.25103 | 0.16803 | 0.65107 |
FastABOD | 100 | 0.16828 | 0.07610 | 0.16115 | 0.06818 | 0.25062 | 0.16756 | 0.65107 |
KDEOS | 5 | 0.14887 | 0.05453 | 0.11515 | 0.01708 | 0.18898 | 0.09909 | 0.53489 |
KDEOS | 48 | 0.11327 | 0.01499 | 0.11935 | 0.02175 | 0.20844 | 0.12071 | 0.58824 |
KDEOS | 50 | 0.12298 | 0.02578 | 0.11952 | 0.02193 | 0.20955 | 0.12194 | 0.58720 |
KDEOS | 61 | 0.11650 | 0.01859 | 0.11777 | 0.01999 | 0.21357 | 0.12641 | 0.58365 |
LDF | 5 | 0.15210 | 0.05813 | 0.13991 | 0.04458 | 0.23822 | 0.15379 | 0.63003 |
LDF | 7 | 0.14887 | 0.05453 | 0.15641 | 0.06291 | 0.27743 | 0.19735 | 0.69846 |
LDF | 8 | 0.14239 | 0.04734 | 0.14997 | 0.05576 | 0.28068 | 0.20095 | 0.69038 |
INFLO | 13 | 0.13916 | 0.04375 | 0.12758 | 0.03089 | 0.22009 | 0.13365 | 0.61163 |
INFLO | 16 | 0.12298 | 0.02578 | 0.12731 | 0.03058 | 0.21815 | 0.13150 | 0.61524 |
INFLO | 48 | 0.08738 | -0.01377 | 0.11993 | 0.02239 | 0.23184 | 0.14670 | 0.61438 |
INFLO | 100 | 0.09385 | -0.00658 | 0.12968 | 0.03322 | 0.22415 | 0.13816 | 0.59944 |
COF | 24 | 0.13916 | 0.04375 | 0.12691 | 0.03014 | 0.21998 | 0.13353 | 0.60948 |
COF | 44 | 0.11327 | 0.01499 | 0.13204 | 0.03584 | 0.24399 | 0.16020 | 0.64403 |
COF | 48 | 0.10356 | 0.00421 | 0.13236 | 0.03620 | 0.23921 | 0.15489 | 0.64578 |
Plots
Not normalized, without duplicates
This version contains 57 attributes, 2808 objects, 280 outliers (9.97%)
Download raw algorithm results (24.4 MB) Download raw algorithm evaluation table (68.1 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 | 0.31786 | 0.24230 | 0.29725 | 0.21942 | 0.32993 | 0.25571 | 0.74330 |
KNN | 5 | 0.33214 | 0.25817 | 0.29441 | 0.21626 | 0.34747 | 0.27520 | 0.74258 |
KNN | 6 | 0.33571 | 0.26214 | 0.29308 | 0.21478 | 0.34338 | 0.27065 | 0.74357 |
KNNW | 3 | 0.30714 | 0.23040 | 0.29964 | 0.22207 | 0.33333 | 0.25949 | 0.73897 |
KNNW | 5 | 0.32857 | 0.25420 | 0.29835 | 0.22064 | 0.33277 | 0.25887 | 0.74141 |
KNNW | 10 | 0.32500 | 0.25024 | 0.29638 | 0.21845 | 0.33812 | 0.26481 | 0.74378 |
KNNW | 19 | 0.32500 | 0.25024 | 0.28911 | 0.21037 | 0.34409 | 0.27144 | 0.74092 |
LOF | 86 | 0.20000 | 0.11139 | 0.17982 | 0.08897 | 0.24335 | 0.15954 | 0.63058 |
LOF | 100 | 0.17857 | 0.08759 | 0.18362 | 0.09320 | 0.25156 | 0.16866 | 0.63740 |
SimplifiedLOF | 56 | 0.20357 | 0.11536 | 0.17083 | 0.07899 | 0.21483 | 0.12787 | 0.60830 |
SimplifiedLOF | 100 | 0.19643 | 0.10743 | 0.19070 | 0.10106 | 0.23167 | 0.14657 | 0.62034 |
LoOP | 97 | 0.18571 | 0.09552 | 0.15789 | 0.06462 | 0.21000 | 0.12250 | 0.59167 |
LoOP | 99 | 0.18214 | 0.09156 | 0.15849 | 0.06528 | 0.21198 | 0.12470 | 0.59227 |
LoOP | 100 | 0.18571 | 0.09552 | 0.15861 | 0.06541 | 0.21148 | 0.12414 | 0.59262 |
LDOF | 47 | 0.11071 | 0.01222 | 0.11315 | 0.01493 | 0.19370 | 0.10439 | 0.52803 |
LDOF | 98 | 0.16071 | 0.06776 | 0.12710 | 0.03042 | 0.18786 | 0.09791 | 0.53718 |
LDOF | 100 | 0.15714 | 0.06379 | 0.12788 | 0.03129 | 0.18910 | 0.09929 | 0.53898 |
ODIN | 13 | 0.07896 | -0.02305 | 0.11309 | 0.01485 | 0.21765 | 0.13100 | 0.58440 |
ODIN | 15 | 0.07700 | -0.02524 | 0.11294 | 0.01469 | 0.21467 | 0.12769 | 0.58440 |
ODIN | 97 | 0.11607 | 0.01817 | 0.11481 | 0.01676 | 0.20188 | 0.11349 | 0.56928 |
ODIN | 98 | 0.11429 | 0.01618 | 0.11489 | 0.01686 | 0.20113 | 0.11265 | 0.56926 |
FastABOD | 4 | 0.28571 | 0.20660 | 0.27703 | 0.19696 | 0.31499 | 0.23912 | 0.75505 |
FastABOD | 7 | 0.27500 | 0.19470 | 0.27664 | 0.19653 | 0.31665 | 0.24096 | 0.75632 |
FastABOD | 91 | 0.28571 | 0.20660 | 0.27566 | 0.19543 | 0.32340 | 0.24846 | 0.75021 |
KDEOS | 76 | 0.12500 | 0.02809 | 0.12264 | 0.02547 | 0.22209 | 0.13593 | 0.60381 |
KDEOS | 95 | 0.11786 | 0.02015 | 0.12368 | 0.02661 | 0.22627 | 0.14058 | 0.60384 |
KDEOS | 98 | 0.11071 | 0.01222 | 0.12448 | 0.02750 | 0.22544 | 0.13965 | 0.60453 |
KDEOS | 100 | 0.11429 | 0.01618 | 0.12461 | 0.02766 | 0.22360 | 0.13761 | 0.60440 |
LDF | 73 | 0.25357 | 0.17090 | 0.24492 | 0.16128 | 0.28571 | 0.20660 | 0.68435 |
LDF | 98 | 0.27143 | 0.19073 | 0.23893 | 0.15463 | 0.30210 | 0.22480 | 0.69928 |
LDF | 99 | 0.26786 | 0.18677 | 0.23958 | 0.15536 | 0.30465 | 0.22764 | 0.70099 |
LDF | 100 | 0.26786 | 0.18677 | 0.23841 | 0.15406 | 0.30380 | 0.22669 | 0.70233 |
INFLO | 91 | 0.16786 | 0.07569 | 0.17123 | 0.07944 | 0.29209 | 0.21368 | 0.64100 |
INFLO | 97 | 0.17143 | 0.07966 | 0.17214 | 0.08045 | 0.29252 | 0.21416 | 0.63933 |
INFLO | 99 | 0.17500 | 0.08362 | 0.17198 | 0.08027 | 0.29019 | 0.21157 | 0.63545 |
COF | 98 | 0.23214 | 0.14710 | 0.25422 | 0.17162 | 0.28608 | 0.20700 | 0.66915 |
COF | 100 | 0.25000 | 0.16693 | 0.25490 | 0.17237 | 0.29355 | 0.21531 | 0.66803 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 3097 objects, 309 outliers (9.98%)
Download raw algorithm results (25.3 MB) Download raw algorithm evaluation table (72.2 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 | 5 | 0.33657 | 0.26304 | 0.30137 | 0.22394 | 0.36111 | 0.29030 | 0.76929 |
KNN | 6 | 0.34304 | 0.27023 | 0.30336 | 0.22615 | 0.35904 | 0.28800 | 0.76888 |
KNN | 7 | 0.33981 | 0.26664 | 0.30152 | 0.22411 | 0.35351 | 0.28186 | 0.76975 |
KNNW | 8 | 0.33333 | 0.25945 | 0.30037 | 0.22283 | 0.35463 | 0.28310 | 0.76489 |
KNNW | 9 | 0.34304 | 0.27023 | 0.29987 | 0.22227 | 0.35644 | 0.28511 | 0.76486 |
KNNW | 18 | 0.32362 | 0.24866 | 0.29084 | 0.21224 | 0.35227 | 0.28048 | 0.76645 |
LOF | 97 | 0.17152 | 0.07970 | 0.16573 | 0.07326 | 0.25224 | 0.16936 | 0.63946 |
LOF | 100 | 0.16828 | 0.07610 | 0.16852 | 0.07636 | 0.25448 | 0.17185 | 0.64419 |
SimplifiedLOF | 3 | 0.17152 | 0.07970 | 0.12516 | 0.02820 | 0.20247 | 0.11408 | 0.54242 |
SimplifiedLOF | 100 | 0.14563 | 0.05094 | 0.14016 | 0.04486 | 0.21906 | 0.13251 | 0.60890 |
LoOP | 3 | 0.17799 | 0.08689 | 0.12887 | 0.03232 | 0.19789 | 0.10900 | 0.56004 |
LoOP | 94 | 0.13592 | 0.04015 | 0.12887 | 0.03232 | 0.21082 | 0.12335 | 0.57872 |
LoOP | 100 | 0.13916 | 0.04375 | 0.13221 | 0.03604 | 0.20998 | 0.12242 | 0.58380 |
LDOF | 2 | 0.14887 | 0.05453 | 0.11858 | 0.02089 | 0.18155 | 0.09084 | 0.47981 |
LDOF | 3 | 0.15210 | 0.05813 | 0.11507 | 0.01699 | 0.18664 | 0.09649 | 0.48770 |
LDOF | 97 | 0.12621 | 0.02937 | 0.10843 | 0.00962 | 0.19063 | 0.10092 | 0.52609 |
LDOF | 100 | 0.12621 | 0.02937 | 0.10948 | 0.01078 | 0.18995 | 0.10017 | 0.52826 |
ODIN | 3 | 0.12603 | 0.02916 | 0.11574 | 0.01773 | 0.20786 | 0.12007 | 0.57296 |
ODIN | 11 | 0.09756 | -0.00246 | 0.11948 | 0.02189 | 0.22155 | 0.13527 | 0.59229 |
ODIN | 100 | 0.09994 | 0.00019 | 0.12136 | 0.02398 | 0.20690 | 0.11900 | 0.57654 |
FastABOD | 38 | 0.27184 | 0.19114 | 0.24703 | 0.16358 | 0.32996 | 0.25570 | 0.75603 |
FastABOD | 70 | 0.27832 | 0.19833 | 0.26199 | 0.18019 | 0.32653 | 0.25189 | 0.75807 |
FastABOD | 100 | 0.27832 | 0.19833 | 0.26348 | 0.18185 | 0.32787 | 0.25338 | 0.75880 |
KDEOS | 66 | 0.13269 | 0.03656 | 0.11660 | 0.01869 | 0.21037 | 0.12286 | 0.57823 |
KDEOS | 94 | 0.11974 | 0.02218 | 0.12431 | 0.02725 | 0.21664 | 0.12982 | 0.59156 |
KDEOS | 100 | 0.12298 | 0.02578 | 0.12750 | 0.03080 | 0.21578 | 0.12886 | 0.59539 |
LDF | 80 | 0.28479 | 0.20552 | 0.23078 | 0.14553 | 0.28818 | 0.20929 | 0.68989 |
LDF | 96 | 0.28479 | 0.20552 | 0.24593 | 0.16235 | 0.31618 | 0.24039 | 0.71616 |
LDF | 99 | 0.28155 | 0.20193 | 0.24423 | 0.16047 | 0.31340 | 0.23730 | 0.71993 |
INFLO | 98 | 0.16505 | 0.07251 | 0.15611 | 0.06257 | 0.29397 | 0.21572 | 0.63409 |
INFLO | 99 | 0.16828 | 0.07610 | 0.15540 | 0.06179 | 0.28994 | 0.21125 | 0.62571 |
INFLO | 100 | 0.16505 | 0.07251 | 0.15759 | 0.06422 | 0.29561 | 0.21754 | 0.63170 |
COF | 13 | 0.17152 | 0.07970 | 0.11822 | 0.02049 | 0.19048 | 0.10075 | 0.53560 |
COF | 100 | 0.16828 | 0.07610 | 0.15607 | 0.06253 | 0.24816 | 0.16484 | 0.64949 |