SpamBase (10% of outliers version#08)
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 (25.2 MB) Download raw algorithm evaluation table (69.8 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 | 1 | 0.21786 | 0.13123 | 0.18468 | 0.09438 | 0.29178 | 0.21333 | 0.69630 |
KNN | 2 | 0.21786 | 0.13123 | 0.19275 | 0.10333 | 0.28993 | 0.21128 | 0.71869 |
KNN | 8 | 0.22500 | 0.13916 | 0.18288 | 0.09237 | 0.27027 | 0.18945 | 0.69920 |
KNNW | 2 | 0.23214 | 0.14710 | 0.18277 | 0.09226 | 0.28107 | 0.20144 | 0.67212 |
KNNW | 5 | 0.22143 | 0.13519 | 0.18798 | 0.09805 | 0.27915 | 0.19931 | 0.70481 |
KNNW | 7 | 0.21786 | 0.13123 | 0.18795 | 0.09801 | 0.28409 | 0.20480 | 0.70755 |
KNNW | 8 | 0.21429 | 0.12726 | 0.18786 | 0.09791 | 0.28270 | 0.20325 | 0.70758 |
LOF | 21 | 0.14286 | 0.04792 | 0.15161 | 0.05764 | 0.26736 | 0.18621 | 0.68527 |
LOF | 34 | 0.10357 | 0.00428 | 0.14690 | 0.05241 | 0.27116 | 0.19043 | 0.66676 |
LOF | 75 | 0.17857 | 0.08759 | 0.16775 | 0.07557 | 0.25773 | 0.17552 | 0.66202 |
LOF | 80 | 0.16429 | 0.07172 | 0.16837 | 0.07626 | 0.26407 | 0.18256 | 0.66468 |
SimplifiedLOF | 39 | 0.10357 | 0.00428 | 0.13915 | 0.04380 | 0.24891 | 0.16572 | 0.65090 |
SimplifiedLOF | 46 | 0.10357 | 0.00428 | 0.13764 | 0.04213 | 0.25665 | 0.17432 | 0.64176 |
SimplifiedLOF | 98 | 0.13929 | 0.04395 | 0.14990 | 0.05574 | 0.23166 | 0.14656 | 0.61986 |
SimplifiedLOF | 100 | 0.13929 | 0.04395 | 0.15008 | 0.05595 | 0.22919 | 0.14382 | 0.62019 |
LoOP | 39 | 0.13929 | 0.04395 | 0.14979 | 0.05562 | 0.25134 | 0.16842 | 0.66680 |
LoOP | 72 | 0.15000 | 0.05585 | 0.16363 | 0.07099 | 0.26290 | 0.18126 | 0.65828 |
LoOP | 97 | 0.18571 | 0.09552 | 0.16919 | 0.07717 | 0.25306 | 0.17032 | 0.65887 |
LoOP | 100 | 0.18571 | 0.09552 | 0.16970 | 0.07774 | 0.25367 | 0.17100 | 0.65945 |
LDOF | 18 | 0.15357 | 0.05982 | 0.13645 | 0.04080 | 0.22340 | 0.13738 | 0.61665 |
LDOF | 54 | 0.13929 | 0.04395 | 0.15272 | 0.05887 | 0.25313 | 0.17040 | 0.65957 |
LDOF | 56 | 0.14286 | 0.04792 | 0.15236 | 0.05848 | 0.25270 | 0.16993 | 0.65991 |
LDOF | 100 | 0.15357 | 0.05982 | 0.16631 | 0.07397 | 0.23860 | 0.15427 | 0.64800 |
ODIN | 88 | 0.18984 | 0.10010 | 0.16658 | 0.07427 | 0.26756 | 0.18643 | 0.65994 |
ODIN | 99 | 0.18543 | 0.09521 | 0.16777 | 0.07559 | 0.26919 | 0.18824 | 0.66139 |
ODIN | 100 | 0.18247 | 0.09192 | 0.16726 | 0.07503 | 0.27014 | 0.18930 | 0.66132 |
FastABOD | 4 | 0.21429 | 0.12726 | 0.16768 | 0.07549 | 0.26558 | 0.18424 | 0.66334 |
FastABOD | 6 | 0.21786 | 0.13123 | 0.16947 | 0.07748 | 0.26285 | 0.18120 | 0.66134 |
FastABOD | 51 | 0.20000 | 0.11139 | 0.17421 | 0.08275 | 0.25316 | 0.17045 | 0.65298 |
KDEOS | 16 | 0.12143 | 0.02412 | 0.12902 | 0.03255 | 0.20265 | 0.11434 | 0.56496 |
KDEOS | 18 | 0.12857 | 0.03205 | 0.12507 | 0.02816 | 0.20712 | 0.11930 | 0.56901 |
KDEOS | 42 | 0.10357 | 0.00428 | 0.11758 | 0.01985 | 0.21599 | 0.12916 | 0.59239 |
KDEOS | 92 | 0.11071 | 0.01222 | 0.11697 | 0.01917 | 0.22382 | 0.13785 | 0.58306 |
LDF | 7 | 0.17143 | 0.07966 | 0.15806 | 0.06481 | 0.28536 | 0.20620 | 0.69187 |
INFLO | 72 | 0.18571 | 0.09552 | 0.17261 | 0.08097 | 0.26802 | 0.18695 | 0.66860 |
INFLO | 74 | 0.19286 | 0.10346 | 0.17314 | 0.08156 | 0.26543 | 0.18407 | 0.66870 |
INFLO | 80 | 0.18929 | 0.09949 | 0.17481 | 0.08341 | 0.26524 | 0.18386 | 0.67416 |
COF | 32 | 0.14286 | 0.04792 | 0.15266 | 0.05881 | 0.26985 | 0.18898 | 0.66904 |
COF | 34 | 0.13571 | 0.03999 | 0.15381 | 0.06008 | 0.26539 | 0.18403 | 0.66731 |
COF | 39 | 0.12857 | 0.03205 | 0.15007 | 0.05593 | 0.27410 | 0.19370 | 0.66548 |
COF | 96 | 0.17143 | 0.07966 | 0.14836 | 0.05403 | 0.21994 | 0.13355 | 0.61404 |
Plots
Normalized, duplicates
This version contains 57 attributes, 3097 objects, 309 outliers (9.98%)
Download raw algorithm results (25.7 MB) Download raw algorithm evaluation table (74.4 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 | 2 | 0.20388 | 0.11565 | 0.18541 | 0.09512 | 0.30282 | 0.22555 | 0.71092 |
KNNW | 2 | 0.19417 | 0.10486 | 0.16495 | 0.07240 | 0.24964 | 0.16648 | 0.64969 |
KNNW | 8 | 0.17799 | 0.08689 | 0.17817 | 0.08708 | 0.28947 | 0.21072 | 0.70145 |
KNNW | 10 | 0.17799 | 0.08689 | 0.17851 | 0.08747 | 0.28909 | 0.21029 | 0.70229 |
LOF | 3 | 0.14239 | 0.04734 | 0.12012 | 0.02260 | 0.20826 | 0.12051 | 0.56486 |
LOF | 15 | 0.13592 | 0.04015 | 0.13277 | 0.03665 | 0.23384 | 0.14892 | 0.63371 |
LOF | 29 | 0.08414 | -0.01736 | 0.12148 | 0.02411 | 0.23822 | 0.15379 | 0.61993 |
SimplifiedLOF | 1 | 0.11974 | 0.02218 | 0.10687 | 0.00788 | 0.19355 | 0.10417 | 0.53951 |
SimplifiedLOF | 15 | 0.10680 | 0.00780 | 0.11749 | 0.01968 | 0.21510 | 0.12811 | 0.58125 |
SimplifiedLOF | 34 | 0.07767 | -0.02455 | 0.11342 | 0.01516 | 0.22319 | 0.13710 | 0.59049 |
SimplifiedLOF | 61 | 0.06796 | -0.03534 | 0.10988 | 0.01123 | 0.22490 | 0.13899 | 0.58451 |
LoOP | 4 | 0.14563 | 0.05094 | 0.11778 | 0.02000 | 0.20225 | 0.11383 | 0.56165 |
LoOP | 20 | 0.12945 | 0.03296 | 0.12879 | 0.03223 | 0.21601 | 0.12912 | 0.60131 |
LoOP | 35 | 0.10680 | 0.00780 | 0.12504 | 0.02807 | 0.22112 | 0.13479 | 0.60400 |
LoOP | 65 | 0.08414 | -0.01736 | 0.11976 | 0.02220 | 0.22889 | 0.14342 | 0.60054 |
LDOF | 13 | 0.13916 | 0.04375 | 0.11550 | 0.01747 | 0.19839 | 0.10955 | 0.55158 |
LDOF | 35 | 0.11327 | 0.01499 | 0.12196 | 0.02465 | 0.21764 | 0.13092 | 0.59257 |
LDOF | 79 | 0.09061 | -0.01017 | 0.12023 | 0.02273 | 0.22617 | 0.14040 | 0.59706 |
LDOF | 98 | 0.10032 | 0.00061 | 0.12029 | 0.02279 | 0.22707 | 0.14140 | 0.59648 |
ODIN | 35 | 0.14289 | 0.04790 | 0.13276 | 0.03664 | 0.22540 | 0.13954 | 0.60977 |
ODIN | 50 | 0.12981 | 0.03336 | 0.13725 | 0.04163 | 0.23603 | 0.15136 | 0.61531 |
ODIN | 53 | 0.12547 | 0.02854 | 0.13776 | 0.04219 | 0.23494 | 0.15014 | 0.61595 |
ODIN | 100 | 0.13646 | 0.04075 | 0.13762 | 0.04204 | 0.23199 | 0.14687 | 0.61760 |
FastABOD | 20 | 0.13592 | 0.04015 | 0.13432 | 0.03838 | 0.23679 | 0.15220 | 0.62333 |
FastABOD | 48 | 0.12621 | 0.02937 | 0.13428 | 0.03833 | 0.24040 | 0.15621 | 0.62283 |
FastABOD | 70 | 0.12621 | 0.02937 | 0.14100 | 0.04579 | 0.24010 | 0.15588 | 0.62364 |
FastABOD | 100 | 0.11974 | 0.02218 | 0.14251 | 0.04747 | 0.23733 | 0.15280 | 0.62317 |
KDEOS | 7 | 0.13916 | 0.04375 | 0.12113 | 0.02373 | 0.19162 | 0.10203 | 0.53594 |
KDEOS | 8 | 0.15210 | 0.05813 | 0.11853 | 0.02084 | 0.19326 | 0.10385 | 0.53406 |
KDEOS | 66 | 0.11003 | 0.01140 | 0.11630 | 0.01836 | 0.21935 | 0.13283 | 0.58246 |
KDEOS | 67 | 0.10356 | 0.00421 | 0.11642 | 0.01850 | 0.21882 | 0.13224 | 0.58325 |
LDF | 5 | 0.15858 | 0.06532 | 0.15661 | 0.06314 | 0.25641 | 0.17400 | 0.65700 |
LDF | 7 | 0.15534 | 0.06172 | 0.16150 | 0.06857 | 0.27408 | 0.19362 | 0.68559 |
LDF | 8 | 0.14887 | 0.05453 | 0.15558 | 0.06199 | 0.27818 | 0.19818 | 0.68409 |
INFLO | 12 | 0.16181 | 0.06891 | 0.12925 | 0.03274 | 0.22337 | 0.13730 | 0.60718 |
INFLO | 15 | 0.14563 | 0.05094 | 0.12970 | 0.03324 | 0.22247 | 0.13629 | 0.61094 |
INFLO | 16 | 0.13916 | 0.04375 | 0.12779 | 0.03112 | 0.22316 | 0.13706 | 0.61210 |
INFLO | 31 | 0.09385 | -0.00658 | 0.11746 | 0.01965 | 0.22790 | 0.14233 | 0.60340 |
COF | 5 | 0.12621 | 0.02937 | 0.11505 | 0.01697 | 0.19961 | 0.11090 | 0.55380 |
COF | 22 | 0.11974 | 0.02218 | 0.12818 | 0.03155 | 0.22359 | 0.13754 | 0.60469 |
COF | 39 | 0.10680 | 0.00780 | 0.12595 | 0.02907 | 0.23516 | 0.15040 | 0.61766 |
COF | 52 | 0.10680 | 0.00780 | 0.12376 | 0.02665 | 0.23828 | 0.15386 | 0.61678 |
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 | 1 | 0.31786 | 0.24230 | 0.29522 | 0.21716 | 0.33735 | 0.26395 | 0.74891 |
KNN | 4 | 0.33571 | 0.26214 | 0.28115 | 0.20153 | 0.34139 | 0.26845 | 0.74110 |
KNN | 8 | 0.32857 | 0.25420 | 0.28162 | 0.20205 | 0.35541 | 0.28402 | 0.74146 |
KNNW | 3 | 0.31786 | 0.24230 | 0.29534 | 0.21729 | 0.33373 | 0.25994 | 0.74204 |
KNNW | 4 | 0.32143 | 0.24627 | 0.29454 | 0.21640 | 0.33799 | 0.26466 | 0.74430 |
KNNW | 7 | 0.33929 | 0.26611 | 0.28925 | 0.21052 | 0.34155 | 0.26862 | 0.74337 |
KNNW | 24 | 0.32143 | 0.24627 | 0.27079 | 0.19003 | 0.35535 | 0.28394 | 0.74067 |
LOF | 14 | 0.19286 | 0.10346 | 0.14116 | 0.04604 | 0.20737 | 0.11958 | 0.57625 |
LOF | 99 | 0.15357 | 0.05982 | 0.17670 | 0.08551 | 0.25787 | 0.17567 | 0.64528 |
LOF | 100 | 0.15357 | 0.05982 | 0.17664 | 0.08545 | 0.25892 | 0.17684 | 0.64550 |
SimplifiedLOF | 18 | 0.20357 | 0.11536 | 0.14617 | 0.05160 | 0.20690 | 0.11905 | 0.57126 |
SimplifiedLOF | 98 | 0.18214 | 0.09156 | 0.18253 | 0.09199 | 0.23782 | 0.15340 | 0.63006 |
SimplifiedLOF | 100 | 0.18214 | 0.09156 | 0.18286 | 0.09235 | 0.23521 | 0.15051 | 0.63043 |
LoOP | 30 | 0.19286 | 0.10346 | 0.14164 | 0.04657 | 0.20138 | 0.11293 | 0.57713 |
LoOP | 96 | 0.18214 | 0.09156 | 0.15950 | 0.06641 | 0.22021 | 0.13384 | 0.59709 |
LoOP | 100 | 0.18214 | 0.09156 | 0.16050 | 0.06752 | 0.22018 | 0.13381 | 0.60077 |
LDOF | 50 | 0.17143 | 0.07966 | 0.12578 | 0.02895 | 0.18873 | 0.09887 | 0.52339 |
LDOF | 93 | 0.15000 | 0.05585 | 0.13490 | 0.03908 | 0.19265 | 0.10322 | 0.54431 |
LDOF | 98 | 0.14643 | 0.05189 | 0.13409 | 0.03819 | 0.19373 | 0.10443 | 0.54602 |
LDOF | 100 | 0.15000 | 0.05585 | 0.13463 | 0.03878 | 0.19342 | 0.10408 | 0.54807 |
ODIN | 24 | 0.08261 | -0.01900 | 0.11022 | 0.01167 | 0.20966 | 0.12212 | 0.56376 |
ODIN | 59 | 0.13929 | 0.04395 | 0.11638 | 0.01851 | 0.20023 | 0.11165 | 0.55812 |
ODIN | 100 | 0.11726 | 0.01949 | 0.12005 | 0.02259 | 0.19969 | 0.11105 | 0.57095 |
FastABOD | 10 | 0.28214 | 0.20263 | 0.27018 | 0.18935 | 0.32696 | 0.25242 | 0.74281 |
FastABOD | 94 | 0.29643 | 0.21850 | 0.27266 | 0.19210 | 0.33228 | 0.25832 | 0.74021 |
FastABOD | 98 | 0.30000 | 0.22247 | 0.27272 | 0.19217 | 0.33228 | 0.25832 | 0.74018 |
FastABOD | 99 | 0.30000 | 0.22247 | 0.27273 | 0.19218 | 0.33192 | 0.25793 | 0.74020 |
KDEOS | 86 | 0.13929 | 0.04395 | 0.12820 | 0.03164 | 0.21954 | 0.13310 | 0.60461 |
KDEOS | 99 | 0.13214 | 0.03602 | 0.13037 | 0.03405 | 0.22196 | 0.13578 | 0.60809 |
KDEOS | 100 | 0.12857 | 0.03205 | 0.13074 | 0.03446 | 0.22118 | 0.13491 | 0.60854 |
LDF | 79 | 0.26786 | 0.18677 | 0.23881 | 0.15450 | 0.28756 | 0.20866 | 0.69366 |
LDF | 95 | 0.27500 | 0.19470 | 0.23076 | 0.14556 | 0.29231 | 0.21392 | 0.69886 |
LDF | 98 | 0.27143 | 0.19073 | 0.23246 | 0.14744 | 0.29375 | 0.21553 | 0.70151 |
LDF | 99 | 0.27500 | 0.19470 | 0.22990 | 0.14460 | 0.29467 | 0.21655 | 0.70053 |
INFLO | 33 | 0.18929 | 0.09949 | 0.15395 | 0.06024 | 0.25887 | 0.17678 | 0.58800 |
INFLO | 70 | 0.17143 | 0.07966 | 0.16813 | 0.07599 | 0.28666 | 0.20765 | 0.63331 |
INFLO | 76 | 0.17143 | 0.07966 | 0.16990 | 0.07796 | 0.29219 | 0.21380 | 0.63321 |
INFLO | 84 | 0.17143 | 0.07966 | 0.17053 | 0.07865 | 0.28916 | 0.21042 | 0.63060 |
COF | 85 | 0.18929 | 0.09949 | 0.23389 | 0.14904 | 0.27784 | 0.19785 | 0.66570 |
COF | 98 | 0.21429 | 0.12726 | 0.23763 | 0.15319 | 0.27468 | 0.19434 | 0.67437 |
COF | 100 | 0.21786 | 0.13123 | 0.23723 | 0.15274 | 0.27654 | 0.19641 | 0.67173 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 3097 objects, 309 outliers (9.98%)
Download raw algorithm results (25.4 MB) Download raw algorithm evaluation table (72.5 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 | 2 | 0.34951 | 0.27742 | 0.33284 | 0.25890 | 0.35616 | 0.28481 | 0.75574 |
KNN | 5 | 0.36246 | 0.29180 | 0.32798 | 0.25350 | 0.37543 | 0.30620 | 0.76022 |
KNN | 6 | 0.37217 | 0.30258 | 0.32594 | 0.25123 | 0.37370 | 0.30429 | 0.76125 |
KNN | 89 | 0.32039 | 0.24507 | 0.28281 | 0.20332 | 0.33577 | 0.26215 | 0.76142 |
KNNW | 6 | 0.35922 | 0.28820 | 0.32852 | 0.25410 | 0.36770 | 0.29762 | 0.75361 |
KNNW | 7 | 0.36893 | 0.29899 | 0.32820 | 0.25375 | 0.37049 | 0.30072 | 0.75482 |
KNNW | 8 | 0.36893 | 0.29899 | 0.32674 | 0.25212 | 0.37396 | 0.30457 | 0.75594 |
KNNW | 97 | 0.33981 | 0.26664 | 0.29230 | 0.21387 | 0.34370 | 0.27096 | 0.76126 |
LOF | 86 | 0.18447 | 0.09408 | 0.16253 | 0.06971 | 0.24608 | 0.16252 | 0.63282 |
LOF | 98 | 0.18123 | 0.09048 | 0.17549 | 0.08410 | 0.26279 | 0.18108 | 0.64757 |
LOF | 100 | 0.18123 | 0.09048 | 0.17735 | 0.08618 | 0.26279 | 0.18108 | 0.65065 |
SimplifiedLOF | 100 | 0.17476 | 0.08329 | 0.14585 | 0.05118 | 0.22194 | 0.13571 | 0.60654 |
LoOP | 98 | 0.15858 | 0.06532 | 0.13219 | 0.03601 | 0.20527 | 0.11719 | 0.57751 |
LoOP | 100 | 0.15858 | 0.06532 | 0.13380 | 0.03779 | 0.20644 | 0.11849 | 0.57923 |
LDOF | 2 | 0.16505 | 0.07251 | 0.12391 | 0.02681 | 0.18391 | 0.09346 | 0.46844 |
LDOF | 71 | 0.12945 | 0.03296 | 0.10143 | 0.00184 | 0.19158 | 0.10198 | 0.50776 |
LDOF | 100 | 0.14563 | 0.05094 | 0.11310 | 0.01480 | 0.19107 | 0.10142 | 0.52520 |
ODIN | 20 | 0.07189 | -0.03097 | 0.11075 | 0.01219 | 0.21752 | 0.13079 | 0.57415 |
ODIN | 100 | 0.11232 | 0.01393 | 0.11515 | 0.01708 | 0.20164 | 0.11316 | 0.56738 |
FastABOD | 20 | 0.30744 | 0.23069 | 0.27193 | 0.19124 | 0.33780 | 0.26440 | 0.74636 |
FastABOD | 100 | 0.30744 | 0.23069 | 0.29595 | 0.21792 | 0.33929 | 0.26606 | 0.74843 |
KDEOS | 90 | 0.12945 | 0.03296 | 0.11188 | 0.01345 | 0.21835 | 0.13172 | 0.56964 |
KDEOS | 100 | 0.12298 | 0.02578 | 0.11431 | 0.01615 | 0.21945 | 0.13294 | 0.57413 |
LDF | 87 | 0.29450 | 0.21631 | 0.26688 | 0.18563 | 0.30369 | 0.22652 | 0.70718 |
LDF | 91 | 0.29450 | 0.21631 | 0.27342 | 0.19289 | 0.30856 | 0.23192 | 0.71246 |
LDF | 99 | 0.29126 | 0.21271 | 0.26873 | 0.18768 | 0.31250 | 0.23630 | 0.72109 |
LDF | 100 | 0.29126 | 0.21271 | 0.26956 | 0.18860 | 0.31533 | 0.23944 | 0.72097 |
INFLO | 98 | 0.15858 | 0.06532 | 0.15887 | 0.06565 | 0.29064 | 0.21202 | 0.62773 |
INFLO | 100 | 0.16828 | 0.07610 | 0.15984 | 0.06672 | 0.28766 | 0.20871 | 0.62382 |
COF | 98 | 0.19094 | 0.10127 | 0.17611 | 0.08480 | 0.25535 | 0.17282 | 0.65084 |
COF | 100 | 0.19417 | 0.10486 | 0.18231 | 0.09169 | 0.25379 | 0.17109 | 0.65324 |