SpamBase (10% of outliers version#09)
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 (25.1 MB) Download raw algorithm evaluation table (70.5 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 | 0.24643 | 0.16296 | 0.20320 | 0.11494 | 0.31042 | 0.23404 | 0.72028 |
KNN | 3 | 0.24643 | 0.16296 | 0.20336 | 0.11512 | 0.30534 | 0.22840 | 0.72838 |
KNN | 4 | 0.25000 | 0.16693 | 0.20585 | 0.11789 | 0.30259 | 0.22535 | 0.72627 |
KNNW | 8 | 0.23929 | 0.15503 | 0.19664 | 0.10766 | 0.29615 | 0.21819 | 0.71445 |
KNNW | 9 | 0.23929 | 0.15503 | 0.19733 | 0.10843 | 0.29478 | 0.21667 | 0.71509 |
KNNW | 10 | 0.24643 | 0.16296 | 0.19721 | 0.10830 | 0.29465 | 0.21653 | 0.71500 |
LOF | 83 | 0.17143 | 0.07966 | 0.17239 | 0.08072 | 0.27653 | 0.19640 | 0.67622 |
LOF | 86 | 0.17143 | 0.07966 | 0.17240 | 0.08074 | 0.27624 | 0.19608 | 0.67710 |
LOF | 89 | 0.17500 | 0.08362 | 0.17193 | 0.08021 | 0.27563 | 0.19540 | 0.67717 |
LOF | 100 | 0.18571 | 0.09552 | 0.17095 | 0.07913 | 0.27625 | 0.19609 | 0.67605 |
SimplifiedLOF | 35 | 0.06786 | -0.03539 | 0.12851 | 0.03198 | 0.24187 | 0.15790 | 0.63438 |
SimplifiedLOF | 42 | 0.06429 | -0.03935 | 0.12900 | 0.03252 | 0.24832 | 0.16506 | 0.63255 |
SimplifiedLOF | 99 | 0.13571 | 0.03999 | 0.14358 | 0.04872 | 0.22686 | 0.14123 | 0.61658 |
SimplifiedLOF | 100 | 0.13571 | 0.03999 | 0.14407 | 0.04926 | 0.22846 | 0.14300 | 0.61791 |
LoOP | 94 | 0.15357 | 0.05982 | 0.16044 | 0.06745 | 0.25610 | 0.17370 | 0.65482 |
LoOP | 99 | 0.16429 | 0.07172 | 0.16181 | 0.06897 | 0.25564 | 0.17319 | 0.65721 |
LoOP | 100 | 0.16071 | 0.06776 | 0.16210 | 0.06930 | 0.25546 | 0.17299 | 0.65818 |
LDOF | 57 | 0.10357 | 0.00428 | 0.13135 | 0.03514 | 0.24047 | 0.15634 | 0.63817 |
LDOF | 60 | 0.09643 | -0.00365 | 0.13239 | 0.03630 | 0.24545 | 0.16188 | 0.63777 |
LDOF | 100 | 0.13571 | 0.03999 | 0.15121 | 0.05719 | 0.23549 | 0.15082 | 0.63570 |
ODIN | 89 | 0.17154 | 0.07978 | 0.15152 | 0.05754 | 0.25748 | 0.17524 | 0.64304 |
ODIN | 95 | 0.18036 | 0.08957 | 0.15229 | 0.05840 | 0.25614 | 0.17375 | 0.64403 |
ODIN | 100 | 0.17755 | 0.08646 | 0.15278 | 0.05894 | 0.25520 | 0.17271 | 0.64473 |
FastABOD | 3 | 0.19286 | 0.10346 | 0.15581 | 0.06231 | 0.25767 | 0.17545 | 0.64358 |
FastABOD | 33 | 0.21786 | 0.13123 | 0.15958 | 0.06650 | 0.24740 | 0.16405 | 0.64112 |
FastABOD | 100 | 0.20357 | 0.11536 | 0.16590 | 0.07352 | 0.24721 | 0.16383 | 0.64561 |
KDEOS | 6 | 0.14286 | 0.04792 | 0.10852 | 0.00978 | 0.18510 | 0.09484 | 0.51230 |
KDEOS | 21 | 0.11786 | 0.02015 | 0.11677 | 0.01894 | 0.20071 | 0.11219 | 0.56222 |
KDEOS | 41 | 0.10714 | 0.00825 | 0.11461 | 0.01654 | 0.21255 | 0.12533 | 0.58179 |
KDEOS | 76 | 0.04643 | -0.05919 | 0.10447 | 0.00529 | 0.21464 | 0.12766 | 0.56212 |
LDF | 6 | 0.10000 | 0.00032 | 0.13802 | 0.04255 | 0.26667 | 0.18544 | 0.66135 |
LDF | 7 | 0.11786 | 0.02015 | 0.14630 | 0.05174 | 0.26560 | 0.18425 | 0.67054 |
LDF | 72 | 0.17143 | 0.07966 | 0.14140 | 0.04630 | 0.22581 | 0.14006 | 0.62800 |
INFLO | 79 | 0.18214 | 0.09156 | 0.17235 | 0.08068 | 0.27385 | 0.19342 | 0.67892 |
INFLO | 86 | 0.16429 | 0.07172 | 0.17323 | 0.08166 | 0.27263 | 0.19206 | 0.67984 |
INFLO | 95 | 0.16786 | 0.07569 | 0.17257 | 0.08093 | 0.27329 | 0.19280 | 0.68041 |
INFLO | 98 | 0.17143 | 0.07966 | 0.17248 | 0.08083 | 0.27517 | 0.19489 | 0.67977 |
COF | 37 | 0.12143 | 0.02412 | 0.13579 | 0.04007 | 0.24774 | 0.16442 | 0.64354 |
COF | 43 | 0.11071 | 0.01222 | 0.13536 | 0.03959 | 0.25497 | 0.17245 | 0.64211 |
COF | 96 | 0.17500 | 0.08362 | 0.15923 | 0.06611 | 0.24306 | 0.15922 | 0.63050 |
COF | 99 | 0.18929 | 0.09949 | 0.15881 | 0.06564 | 0.23553 | 0.15086 | 0.63094 |
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 (74.3 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 | 0.24595 | 0.16238 | 0.19248 | 0.10298 | 0.30419 | 0.22707 | 0.69387 |
KNN | 2 | 0.23625 | 0.15160 | 0.20202 | 0.11358 | 0.31474 | 0.23879 | 0.73180 |
KNN | 5 | 0.23948 | 0.15519 | 0.20018 | 0.11154 | 0.30769 | 0.23096 | 0.73215 |
KNNW | 1 | 0.24595 | 0.16238 | 0.18000 | 0.08912 | 0.29505 | 0.21691 | 0.65782 |
KNNW | 3 | 0.22330 | 0.13722 | 0.19102 | 0.10136 | 0.30946 | 0.23292 | 0.70251 |
KNNW | 9 | 0.23625 | 0.15160 | 0.19837 | 0.10953 | 0.30195 | 0.22458 | 0.72654 |
KNNW | 10 | 0.23625 | 0.15160 | 0.19849 | 0.10966 | 0.30252 | 0.22522 | 0.72627 |
LOF | 12 | 0.13592 | 0.04015 | 0.14393 | 0.04905 | 0.26038 | 0.17841 | 0.67271 |
LOF | 15 | 0.11974 | 0.02218 | 0.14400 | 0.04913 | 0.26709 | 0.18586 | 0.67841 |
LOF | 18 | 0.11327 | 0.01499 | 0.14374 | 0.04883 | 0.26508 | 0.18362 | 0.67928 |
LOF | 34 | 0.09385 | -0.00658 | 0.13915 | 0.04374 | 0.27512 | 0.19478 | 0.67081 |
SimplifiedLOF | 1 | 0.12621 | 0.02937 | 0.10660 | 0.00758 | 0.18209 | 0.09143 | 0.52031 |
SimplifiedLOF | 36 | 0.09709 | -0.00298 | 0.13029 | 0.03390 | 0.25638 | 0.17396 | 0.64787 |
SimplifiedLOF | 42 | 0.09061 | -0.01017 | 0.12955 | 0.03307 | 0.25741 | 0.17511 | 0.64742 |
LoOP | 1 | 0.14239 | 0.04734 | 0.11072 | 0.01216 | 0.18144 | 0.09072 | 0.52416 |
LoOP | 25 | 0.12945 | 0.03296 | 0.13993 | 0.04461 | 0.24264 | 0.15870 | 0.64854 |
LoOP | 50 | 0.11003 | 0.01140 | 0.13795 | 0.04241 | 0.25540 | 0.17287 | 0.66047 |
LoOP | 59 | 0.11003 | 0.01140 | 0.13652 | 0.04081 | 0.25935 | 0.17726 | 0.65748 |
LDOF | 6 | 0.12945 | 0.03296 | 0.10573 | 0.00662 | 0.18582 | 0.09558 | 0.51417 |
LDOF | 58 | 0.11974 | 0.02218 | 0.13683 | 0.04116 | 0.24868 | 0.16541 | 0.65463 |
LDOF | 73 | 0.11974 | 0.02218 | 0.13557 | 0.03977 | 0.25190 | 0.16898 | 0.65395 |
LDOF | 79 | 0.12621 | 0.02937 | 0.13728 | 0.04166 | 0.25014 | 0.16703 | 0.65460 |
ODIN | 46 | 0.15239 | 0.05845 | 0.14137 | 0.04620 | 0.24283 | 0.15891 | 0.64000 |
ODIN | 99 | 0.13941 | 0.04403 | 0.14868 | 0.05433 | 0.25862 | 0.17645 | 0.64946 |
ODIN | 100 | 0.14005 | 0.04474 | 0.14888 | 0.05454 | 0.25829 | 0.17609 | 0.64966 |
FastABOD | 22 | 0.14563 | 0.05094 | 0.14309 | 0.04812 | 0.25556 | 0.17306 | 0.64131 |
FastABOD | 38 | 0.13916 | 0.04375 | 0.14334 | 0.04840 | 0.25746 | 0.17516 | 0.64142 |
FastABOD | 70 | 0.13916 | 0.04375 | 0.14859 | 0.05423 | 0.25299 | 0.17020 | 0.64411 |
FastABOD | 100 | 0.13916 | 0.04375 | 0.14966 | 0.05541 | 0.25323 | 0.17046 | 0.64410 |
KDEOS | 18 | 0.14239 | 0.04734 | 0.11390 | 0.01569 | 0.19826 | 0.10940 | 0.55578 |
KDEOS | 25 | 0.12298 | 0.02578 | 0.11607 | 0.01810 | 0.20068 | 0.11209 | 0.55424 |
KDEOS | 64 | 0.07120 | -0.03174 | 0.11344 | 0.01518 | 0.22421 | 0.13822 | 0.58965 |
KDEOS | 69 | 0.07767 | -0.02455 | 0.11462 | 0.01649 | 0.22306 | 0.13695 | 0.59262 |
LDF | 6 | 0.17476 | 0.08329 | 0.17165 | 0.07984 | 0.29558 | 0.21751 | 0.72209 |
INFLO | 12 | 0.13592 | 0.04015 | 0.13523 | 0.03938 | 0.23810 | 0.15365 | 0.63851 |
INFLO | 19 | 0.12298 | 0.02578 | 0.13857 | 0.04310 | 0.24658 | 0.16307 | 0.65789 |
INFLO | 48 | 0.10356 | 0.00421 | 0.13224 | 0.03606 | 0.26275 | 0.18104 | 0.65423 |
COF | 30 | 0.13916 | 0.04375 | 0.14846 | 0.05408 | 0.27005 | 0.18915 | 0.66936 |
COF | 31 | 0.13269 | 0.03656 | 0.14998 | 0.05577 | 0.27627 | 0.19606 | 0.67416 |
COF | 37 | 0.13916 | 0.04375 | 0.14839 | 0.05401 | 0.27668 | 0.19651 | 0.67520 |
COF | 38 | 0.13916 | 0.04375 | 0.14737 | 0.05287 | 0.27808 | 0.19807 | 0.67121 |
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 (68.2 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 | 2 | 0.29643 | 0.21850 | 0.29409 | 0.21590 | 0.32375 | 0.24885 | 0.73820 |
KNN | 5 | 0.31429 | 0.23834 | 0.29291 | 0.21459 | 0.32615 | 0.25151 | 0.74196 |
KNN | 7 | 0.31429 | 0.23834 | 0.29094 | 0.21240 | 0.32641 | 0.25180 | 0.74202 |
KNN | 41 | 0.28929 | 0.21057 | 0.25392 | 0.17128 | 0.32762 | 0.25315 | 0.73607 |
KNNW | 8 | 0.31071 | 0.23437 | 0.29436 | 0.21621 | 0.32340 | 0.24846 | 0.74034 |
KNNW | 9 | 0.31786 | 0.24230 | 0.29391 | 0.21571 | 0.32310 | 0.24812 | 0.74102 |
KNNW | 12 | 0.31429 | 0.23834 | 0.29397 | 0.21578 | 0.32727 | 0.25276 | 0.74184 |
LOF | 98 | 0.18214 | 0.09156 | 0.17854 | 0.08755 | 0.25820 | 0.17603 | 0.64062 |
LOF | 99 | 0.18571 | 0.09552 | 0.17883 | 0.08788 | 0.25820 | 0.17603 | 0.64090 |
LOF | 100 | 0.18214 | 0.09156 | 0.17887 | 0.08792 | 0.25793 | 0.17574 | 0.64161 |
SimplifiedLOF | 17 | 0.18571 | 0.09552 | 0.13248 | 0.03640 | 0.19420 | 0.10494 | 0.55625 |
SimplifiedLOF | 84 | 0.18214 | 0.09156 | 0.17705 | 0.08590 | 0.23529 | 0.15060 | 0.62090 |
SimplifiedLOF | 100 | 0.17857 | 0.08759 | 0.18401 | 0.09363 | 0.23328 | 0.14836 | 0.62711 |
LoOP | 24 | 0.16786 | 0.07569 | 0.12116 | 0.02382 | 0.19325 | 0.10390 | 0.55341 |
LoOP | 85 | 0.15357 | 0.05982 | 0.14869 | 0.05440 | 0.21957 | 0.13313 | 0.59489 |
LoOP | 96 | 0.15714 | 0.06379 | 0.15145 | 0.05746 | 0.21767 | 0.13102 | 0.59865 |
LoOP | 98 | 0.16429 | 0.07172 | 0.15269 | 0.05885 | 0.21937 | 0.13291 | 0.59826 |
LDOF | 67 | 0.14286 | 0.04792 | 0.11964 | 0.02213 | 0.19005 | 0.10034 | 0.52573 |
LDOF | 92 | 0.13929 | 0.04395 | 0.12485 | 0.02791 | 0.19401 | 0.10474 | 0.53722 |
LDOF | 100 | 0.13214 | 0.03602 | 0.12611 | 0.02932 | 0.19171 | 0.10218 | 0.53972 |
ODIN | 33 | 0.08267 | -0.01893 | 0.10793 | 0.00913 | 0.21089 | 0.12349 | 0.55895 |
ODIN | 49 | 0.11897 | 0.02139 | 0.11156 | 0.01316 | 0.20630 | 0.11839 | 0.56875 |
ODIN | 99 | 0.10357 | 0.00428 | 0.11689 | 0.01908 | 0.20366 | 0.11546 | 0.57590 |
FastABOD | 3 | 0.28571 | 0.20660 | 0.26937 | 0.18845 | 0.30108 | 0.22366 | 0.73754 |
FastABOD | 13 | 0.27500 | 0.19470 | 0.26427 | 0.18278 | 0.31389 | 0.23790 | 0.74194 |
FastABOD | 27 | 0.28214 | 0.20263 | 0.26313 | 0.18152 | 0.31794 | 0.24239 | 0.74149 |
KDEOS | 3 | 0.14286 | 0.04792 | 0.10567 | 0.00662 | 0.18158 | 0.09093 | 0.46822 |
KDEOS | 92 | 0.11429 | 0.01618 | 0.12537 | 0.02850 | 0.22713 | 0.14152 | 0.59995 |
KDEOS | 94 | 0.11429 | 0.01618 | 0.12614 | 0.02935 | 0.22410 | 0.13817 | 0.60002 |
KDEOS | 96 | 0.11786 | 0.02015 | 0.12565 | 0.02881 | 0.22340 | 0.13738 | 0.60012 |
LDF | 60 | 0.28214 | 0.20263 | 0.22909 | 0.14370 | 0.28975 | 0.21109 | 0.67859 |
LDF | 77 | 0.26786 | 0.18677 | 0.26534 | 0.18397 | 0.31083 | 0.23450 | 0.70048 |
LDF | 96 | 0.27857 | 0.19867 | 0.25413 | 0.17152 | 0.31732 | 0.24171 | 0.71391 |
LDF | 100 | 0.27857 | 0.19867 | 0.25464 | 0.17209 | 0.31433 | 0.23838 | 0.71642 |
INFLO | 91 | 0.17143 | 0.07966 | 0.17064 | 0.07879 | 0.30707 | 0.23032 | 0.66168 |
INFLO | 98 | 0.18214 | 0.09156 | 0.17014 | 0.07823 | 0.30253 | 0.22528 | 0.65070 |
COF | 100 | 0.21786 | 0.13123 | 0.24162 | 0.15762 | 0.25946 | 0.17744 | 0.66780 |
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 (72.2 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 | 2 | 0.32362 | 0.24866 | 0.31451 | 0.23853 | 0.34242 | 0.26954 | 0.76481 |
KNN | 5 | 0.34951 | 0.27742 | 0.30853 | 0.23189 | 0.35846 | 0.28736 | 0.76215 |
KNNW | 6 | 0.33657 | 0.26304 | 0.31432 | 0.23833 | 0.35569 | 0.28427 | 0.76508 |
KNNW | 7 | 0.34628 | 0.27382 | 0.31298 | 0.23683 | 0.36000 | 0.28907 | 0.76446 |
KNNW | 8 | 0.34304 | 0.27023 | 0.31247 | 0.23627 | 0.36335 | 0.29279 | 0.76388 |
LOF | 83 | 0.15210 | 0.05813 | 0.14122 | 0.04604 | 0.21467 | 0.12763 | 0.59859 |
LOF | 100 | 0.14239 | 0.04734 | 0.15407 | 0.06031 | 0.22357 | 0.13752 | 0.61706 |
SimplifiedLOF | 1 | 0.16505 | 0.07251 | 0.12181 | 0.02447 | 0.18793 | 0.09793 | 0.54165 |
SimplifiedLOF | 17 | 0.10680 | 0.00780 | 0.11929 | 0.02168 | 0.22267 | 0.13652 | 0.59344 |
SimplifiedLOF | 18 | 0.10032 | 0.00061 | 0.11939 | 0.02179 | 0.21950 | 0.13299 | 0.59356 |
SimplifiedLOF | 100 | 0.14239 | 0.04734 | 0.13410 | 0.03813 | 0.20886 | 0.12118 | 0.59070 |
LoOP | 1 | 0.14887 | 0.05453 | 0.13013 | 0.03372 | 0.18192 | 0.09125 | 0.53850 |
LoOP | 14 | 0.09709 | -0.00298 | 0.11367 | 0.01544 | 0.21563 | 0.12869 | 0.57941 |
LDOF | 2 | 0.14239 | 0.04734 | 0.12642 | 0.02959 | 0.19118 | 0.10153 | 0.50026 |
LDOF | 4 | 0.14887 | 0.05453 | 0.12044 | 0.02296 | 0.19818 | 0.10932 | 0.50424 |
LDOF | 100 | 0.11974 | 0.02218 | 0.10875 | 0.00997 | 0.19309 | 0.10366 | 0.53490 |
ODIN | 3 | 0.12912 | 0.03260 | 0.11814 | 0.02040 | 0.20735 | 0.11949 | 0.57997 |
ODIN | 4 | 0.12883 | 0.03227 | 0.12095 | 0.02352 | 0.20957 | 0.12196 | 0.59097 |
ODIN | 9 | 0.09852 | -0.00139 | 0.11693 | 0.01906 | 0.21798 | 0.13131 | 0.59513 |
ODIN | 12 | 0.09167 | -0.00900 | 0.11543 | 0.01739 | 0.21983 | 0.13336 | 0.59210 |
FastABOD | 24 | 0.31068 | 0.23428 | 0.26577 | 0.18440 | 0.33563 | 0.26199 | 0.76323 |
FastABOD | 96 | 0.31068 | 0.23428 | 0.28576 | 0.20660 | 0.34068 | 0.26760 | 0.76430 |
FastABOD | 100 | 0.31068 | 0.23428 | 0.28589 | 0.20674 | 0.34068 | 0.26760 | 0.76434 |
KDEOS | 3 | 0.13592 | 0.04015 | 0.11402 | 0.01582 | 0.19221 | 0.10268 | 0.52944 |
KDEOS | 94 | 0.11327 | 0.01499 | 0.12241 | 0.02514 | 0.23050 | 0.14522 | 0.60234 |
KDEOS | 100 | 0.10032 | 0.00061 | 0.12376 | 0.02665 | 0.22648 | 0.14075 | 0.60324 |
LDF | 76 | 0.25566 | 0.17317 | 0.22086 | 0.13450 | 0.28846 | 0.20960 | 0.65870 |
LDF | 84 | 0.26537 | 0.18395 | 0.23600 | 0.15132 | 0.28044 | 0.20069 | 0.66804 |
LDF | 91 | 0.27184 | 0.19114 | 0.22987 | 0.14452 | 0.28330 | 0.20386 | 0.67559 |
LDF | 100 | 0.27184 | 0.19114 | 0.23146 | 0.14628 | 0.28471 | 0.20543 | 0.68950 |
INFLO | 95 | 0.14563 | 0.05094 | 0.13946 | 0.04408 | 0.27144 | 0.19069 | 0.58502 |
INFLO | 98 | 0.14563 | 0.05094 | 0.14338 | 0.04844 | 0.28129 | 0.20163 | 0.60366 |
INFLO | 100 | 0.14239 | 0.04734 | 0.14407 | 0.04920 | 0.28323 | 0.20379 | 0.60341 |
COF | 59 | 0.17476 | 0.08329 | 0.12972 | 0.03326 | 0.21916 | 0.13261 | 0.59540 |
COF | 96 | 0.16828 | 0.07610 | 0.15311 | 0.05925 | 0.22477 | 0.13885 | 0.61965 |
COF | 100 | 0.16505 | 0.07251 | 0.16118 | 0.06822 | 0.22292 | 0.13679 | 0.61993 |