x
listlengths
2.38k
2.38k
input
stringlengths
9.84k
15.9k
y
float64
-1
1
sha256
stringlengths
64
64
appeared
stringclasses
50 values
label
stringclasses
3 values
avclass
stringlengths
3
26
subset
stringclasses
1 value
[ 0.15536557137966156, 0.009656786918640137, 0.0056435768492519855, 0.006333347409963608, 0.007859203033149242, 0.0037832865491509438, 0.0034070482943207026, 0.003595167538151145, 0.008569875732064247, 0.0029890055302530527, 0.0028217884246259928, 0.0028635927010327578, 0.005539066158235073, ...
0.15536557 0.009656787 0.005643577 0.0063333474 0.007859203 0.0037832865 0.0034070483 0.0035951675 0.008569876 0.0029890055 0.0028217884 0.0028635927 0.005539066 0.0032398312 0.0021320179 0.0073157474 0.0045357635 0.0026754735 0.0020484093 0.0019229965 0.0043476443 0.0080055185 0.0018184859 0.0016094645 0.002926299 0.0...
-1
e27a3284259139a7b880021632c74306483b7d3ae9947c5ec8337583ee84cfeb
2018-04
-1
installmonster
train
[ 0.03847082331776619, 0.0061046527698636055, 0.005453844554722309, 0.003718005493283272, 0.004206811543554068, 0.004670075140893459, 0.0037589434068650007, 0.0036637713201344013, 0.003911848179996014, 0.003381404560059309, 0.003779937280341983, 0.005306188017129898, 0.0031238803640007973, 0...
0.038470823 0.006104653 0.0054538446 0.0037180055 0.0042068115 0.004670075 0.0037589434 0.0036637713 0.003911848 0.0033814046 0.0037799373 0.005306188 0.0031238804 0.0062068226 0.003135427 0.003148723 0.005084703 0.0033852535 0.004340472 0.003451034 0.0032925308 0.0036396284 0.0033674086 0.003240746 0.0034114956 0.0031...
-1
f40b4054efb76bd65d5a0fb9ebccbcef32e391639ab82694e50a48dc3e499362
2018-04
-1
amonetize
train
[ 0.00934771541506052, 0.005720071494579315, 0.007936837151646614, 0.005878658499568701, 0.005109612364321947, 0.004310057032853365, 0.007595198228955269, 0.006276133935898542, 0.005544215440750122, 0.0039036597590893507, 0.006983011960983276, 0.004338838625699282, 0.004339414183050394, 0.00...
0.009347715 0.0057200715 0.007936837 0.0058786585 0.0051096124 0.004310057 0.007595198 0.006276134 0.0055442154 0.0039036598 0.006983012 0.0043388386 0.004339414 0.004215653 0.008250557 0.0061779884 0.004653135 0.0035438887 0.005985151 0.0039997906 0.0036561373 0.0036521077 0.00599321 0.0044387113 0.004083257 0.0028845...
1
a4ef9cbcdaa263d5c77c79e922c9cf8efd172da3e79b7436925f1009e66cbef4
2018-04
1
installmonster
train
[ 0.10719317942857742, 0.00620880676433444, 0.0037599431816488504, 0.0038039772771298885, 0.004667613655328751, 0.003431818215176463, 0.0032514205668121576, 0.00322727276943624, 0.0045639206655323505, 0.0036036930978298187, 0.0033366477582603693, 0.003204545471817255, 0.0036846590228378773, ...
0.10719318 0.0062088068 0.0037599432 0.0038039773 0.0046676137 0.0034318182 0.0032514206 0.0032272728 0.0045639207 0.003603693 0.0033366478 0.0032045455 0.003684659 0.003859375 0.0034772728 0.0049076704 0.004399148 0.003065341 0.0029857955 0.0030866477 0.0031818182 0.0032883522 0.003109375 0.0030511364 0.0032045455 0.0...
-1
1a26057a87389dd5be58db0ba66c100e0df67727eec20bf47c8f7d044de16904
2018-04
-1
vittaliaent
train
[ 0.04253191873431206, 0.004849890246987343, 0.0040170555002987385, 0.004495810717344284, 0.005036904010921717, 0.0039198086597025394, 0.003867444582283497, 0.00408936757594347, 0.004286355338990688, 0.0037103530485183, 0.003817574353888631, 0.003515858668833971, 0.003987133502960205, 0.0039...
0.04253192 0.0048498902 0.0040170555 0.0044958107 0.005036904 0.0039198087 0.0038674446 0.0040893676 0.0042863553 0.003710353 0.0038175744 0.0035158587 0.0039871335 0.0039247954 0.0035083783 0.003840016 0.0040594456 0.0033438061 0.0035532615 0.003628067 0.0035033913 0.003608119 0.003251546 0.0032739877 0.0035582485 0.0...
-1
04bdef6998917f06afbd7f9198f7fd7b44773eb256404903d92babd22b9af62e
2018-04
-1
filetour
train
[ 0.04253775253891945, 0.004887390416115522, 0.004047058522701263, 0.0044959005899727345, 0.00506443390622735, 0.003942328970879316, 0.003850066801533103, 0.004054539371281862, 0.004286441020667553, 0.003670529928058386, 0.003850066801533103, 0.0034735382068902254, 0.003952302969992161, 0.00...
0.042537753 0.0048873904 0.0040470585 0.0044959006 0.005064434 0.003942329 0.0038500668 0.0040545394 0.004286441 0.00367053 0.0038500668 0.0034735382 0.003952303 0.0039248737 0.0035084481 0.003832612 0.0040246164 0.0033563406 0.003520916 0.0036231522 0.0035234096 0.0035707874 0.0032142072 0.0032191945 0.0035533323 0.00...
-1
c91e9ac5b949a8e479d44ef323666b0ba020235091da84d8bcf2df9071176e90
2018-04
-1
filetour
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010533851571381092, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010533852 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
9fb42a4d296d43f657bc7e8d29de51e5dd35472d5187009a0ed4d5da97b6e0d7
2018-04
1
vtflooder
train
[ 0.07791928946971893, 0.007502845022827387, 0.007602415978908539, 0.004143688827753067, 0.005616465117782354, 0.004067095462232828, 0.008376006968319416, 0.003908438608050346, 0.005637255031615496, 0.0042990632355213165, 0.005330882500857115, 0.0036272320430725813, 0.005247724242508411, 0.0...
0.07791929 0.007502845 0.007602416 0.004143689 0.005616465 0.0040670955 0.008376007 0.0039084386 0.005637255 0.0042990632 0.0053308825 0.003627232 0.0052477242 0.0036162902 0.0050978204 0.003760723 0.003550639 0.004691877 0.004419424 0.0045507266 0.0035495448 0.0034127713 0.0046273195 0.0043286067 0.0037038252 0.003707...
0
96f2728342828a3f04a6d4ebc1a2efea2a80ea511268f8c0e40d75a0bf106a64
2018-04
0
nan
train
[ 0.028806403279304504, 0.0016027886886149645, 0.0013663116842508316, 0.001208660309202969, 0.0006743973935954273, 0.001042250543832779, 0.003126751631498337, 0.0012261770898476243, 0.0006919142324477434, 0.007330787368118763, 0.005981992930173874, 0.00369604816660285, 0.0005868133157491684, ...
0.028806403 0.0016027887 0.0013663117 0.0012086603 0.0006743974 0.0010422505 0.0031267516 0.0012261771 0.00069191423 0.0073307874 0.005981993 0.0036960482 0.0005868133 0.0012962444 0.0007094311 0.0046156812 0.0022246356 0.0074446467 0.00071818946 0.0006568806 0.0034420544 0.0032931615 0.0015414798 0.0031530268 0.002093...
-1
4eeb809092dc4461ce1ff7c69ed3862dac74b5aaffa8e27df03a53667088747b
2018-04
-1
flystudio
train
[ 0.1799451857805252, 0.012693661265075207, 0.007484149653464556, 0.0085739865899086, 0.011110910214483738, 0.004069930408149958, 0.003970443271100521, 0.003766946727409959, 0.013634267263114452, 0.0022429837845265865, 0.00254144542850554, 0.002631888259202242, 0.007737390231341124, 0.002184...
0.17994519 0.012693661 0.0074841497 0.008573987 0.01111091 0.0040699304 0.0039704433 0.0037669467 0.013634267 0.0022429838 0.0025414454 0.0026318883 0.00773739 0.002184196 0.0016234501 0.016831424 0.008831749 0.0016460607 0.0018676459 0.0013249884 0.004137763 0.0036629373 0.0010898369 0.0007190211 0.00293035 0.00136116...
0
e27c3f74e929780f696605dc935286d789253c2c44a7b7d7f1372b23dbd7712a
2018-04
0
nan
train
[ 0.004221218638122082, 0.003841135185211897, 0.003835504176095128, 0.003851720131933689, 0.0038194945082068443, 0.003867104183882475, 0.003873000154271722, 0.003864550031721592, 0.0038293947000056505, 0.0038554593920707703, 0.0038616498932242393, 0.003892322303727269, 0.003856188151985407, ...
0.0042212186 0.0038411352 0.0038355042 0.0038517201 0.0038194945 0.0038671042 0.0038730002 0.00386455 0.0038293947 0.0038554594 0.00386165 0.0038923223 0.0038561882 0.0039020018 0.0038725734 0.003913654 0.0038232706 0.0038645205 0.0038540976 0.0038913728 0.0038666553 0.0039046297 0.0038797944 0.003911048 0.0038431226 0...
-1
b3d9b4412fd775b4f4dc92c9f5a02cb6df22d74b746d64131d38120e956d4b15
2018-04
-1
nan
train
[ 0.23547711968421936, 0.010532923974096775, 0.0036411830224096775, 0.003948102705180645, 0.0066127232275903225, 0.02386997826397419, 0.0023297991137951612, 0.0018415178637951612, 0.005580357275903225, 0.00203683041036129, 0.0021065848413854837, 0.0015904017491266131, 0.00594308041036129, 0....
0.23547712 0.010532924 0.003641183 0.0039481027 0.006612723 0.023869978 0.002329799 0.0018415179 0.0055803573 0.0020368304 0.0021065848 0.0015904017 0.0059430804 0.0020228794 0.001813616 0.013392857 0.025167411 0.0012416295 0.0010602679 0.0012555803 0.0023158481 0.0067103794 0.0009905134 0.0010602679 0.0020228794 0.001...
1
3b842a2e4400c0c8b40f1d16d51ea2dc90fe92eb86769b3f370882512516de6d
2018-04
1
gandcrab
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
fd37d495648c191ce2f9f0a508533986a0e45ed1c5a19f813b8f904c325831d5
2018-04
1
vtflooder
train
[ 0.5039352178573608, 0.0022886015940457582, 0.002016479382291436, 0.0016188552835956216, 0.002368850400671363, 0.0018366735894232988, 0.001639973372220993, 0.0013539736391976476, 0.0022023189812898636, 0.0011512396158650517, 0.0011874421034008265, 0.0013123407261446118, 0.0017871968448162079,...
0.5039352 0.0022886016 0.0020164794 0.0016188553 0.0023688504 0.0018366736 0.0016399734 0.0013539736 0.002202319 0.0011512396 0.0011874421 0.0013123407 0.0017871968 0.0011765814 0.0012296783 0.0025510697 0.002157669 0.0011651173 0.0011313282 0.0011023663 0.0013268217 0.0011343451 0.0011029695 0.0010022059 0.0013461297 ...
1
45d27932757051912b2f292702b1f041cfbcb80420c18880fd201102fec84f3e
2018-04
1
adposhel
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
f80a6f12ddcf3a19e13a1990435d2bf6c1df6e8973eb89550e183b7456e5b162
2018-04
1
vtflooder
train
[ 0.04785582795739174, 0.008989492431282997, 0.007317821960896254, 0.005467044189572334, 0.005586449056863785, 0.004571506753563881, 0.005134415812790394, 0.00425593601539731, 0.004580035340040922, 0.003650382161140442, 0.004622680135071278, 0.003863605437800288, 0.0031983486842364073, 0.003...
0.047855828 0.008989492 0.007317822 0.005467044 0.005586449 0.0045715068 0.005134416 0.004255936 0.0045800353 0.0036503822 0.00462268 0.0038636054 0.0031983487 0.003684498 0.003786845 0.0038636054 0.0032154066 0.00414506 0.0030704148 0.0032751092 0.0033774562 0.0030789438 0.0033603986 0.00390625 0.0035053904 0.00318129...
0
a04db100ea598f97998ad636d2c220b12a39232dcf1b0dc5f9551d1209f499c4
2018-04
0
nan
train
[ 0.13252399861812592, 0.006689438130706549, 0.004082493018358946, 0.004615927115082741, 0.004353512078523636, 0.004400833044201136, 0.0032393226865679026, 0.0031274736393243074, 0.005562343169003725, 0.00356626627035439, 0.003523247316479683, 0.002512303413823247, 0.0048095122911036015, 0.0...
0.132524 0.006689438 0.004082493 0.004615927 0.004353512 0.004400833 0.0032393227 0.0031274736 0.005562343 0.0035662663 0.0035232473 0.0025123034 0.0048095123 0.0036695118 0.0024305675 0.004779399 0.0044954745 0.002568228 0.0020261898 0.002138039 0.003105964 0.003110266 0.0022240768 0.0023918506 0.0029295867 0.00227569...
1
9d2823fab89b5870216423b4450d1b1f0091fef987794a6ff31908f6413c05e5
2018-04
1
gandcrab
train
[ 0.23099865019321442, 0.02259715087711811, 0.019525015726685524, 0.012074090540409088, 0.011540456674993038, 0.004992220085114241, 0.012547877617180347, 0.008503232151269913, 0.005371249746531248, 0.003830194706097245, 0.01250797975808382, 0.002463693032041192, 0.0025883738417178392, 0.0021...
0.23099865 0.02259715 0.019525016 0.012074091 0.011540457 0.00499222 0.012547878 0.008503232 0.0053712497 0.0038301947 0.01250798 0.002463693 0.0025883738 0.0021943825 0.008179062 0.001221872 0.0023589612 0.0063537345 0.008707709 0.0039748247 0.0016607485 0.0040296842 0.0026731568 0.0023190633 0.002099625 0.0012617699 ...
-1
7acf59d84c190bd27e9b9cee8f82026415d0639dcbad6d4c4fab3e24865f45d8
2018-04
-1
nan
train
[ 0.21822817623615265, 0.00494761485606432, 0.0033513528760522604, 0.0022774056997150183, 0.003111401339992881, 0.0015046077314764261, 0.0016261490527540445, 0.0021834743674844503, 0.0033715623430907726, 0.001267787185497582, 0.0016164713306352496, 0.0007602737750858068, 0.0020505476277321577,...
0.21822818 0.004947615 0.0033513529 0.0022774057 0.0031114013 0.0015046077 0.001626149 0.0021834744 0.0033715623 0.0012677872 0.0016164713 0.0007602738 0.0020505476 0.0013039365 0.0008803919 0.0022745593 0.0022204777 0.0010030718 0.00087754556 0.0009885551 0.0017007248 0.0022640277 0.0011285981 0.00093305035 0.00122594...
0
5a930a5febb629093b3385ac112b6848b8626ec98f109228d0114c72599cc568
2018-04
0
nan
train
[ 0.014734914526343346, 0.004168759565800428, 0.004077949095517397, 0.0038944368716329336, 0.004076057579368353, 0.003943625837564468, 0.003884977428242564, 0.0038376804441213608, 0.0039057880640029907, 0.003968220204114914, 0.0037761942949146032, 0.003949301317334175, 0.003942679613828659, ...
0.0147349145 0.0041687596 0.004077949 0.0038944369 0.0040760576 0.003943626 0.0038849774 0.0038376804 0.003905788 0.00396822 0.0037761943 0.0039493013 0.0039426796 0.0036948435 0.0038036266 0.0038140318 0.0039653825 0.0039795716 0.0039511933 0.0038026806 0.0038641668 0.0038726802 0.003798897 0.0038849774 0.0039256527 0...
0
464fd057cb8cf011f7b7fd7c74f268a43b8eca7e47f19742df364938a9a24e6a
2018-04
0
nan
train
[ 0.012035914696753025, 0.004152524750679731, 0.003847416490316391, 0.004031701944768429, 0.004114691633731127, 0.003925524186342955, 0.0039029461331665516, 0.003926744684576988, 0.003952373750507832, 0.003824838437139988, 0.0038748763035982847, 0.003805311629548669, 0.004057331010699272, 0....
0.012035915 0.0041525248 0.0038474165 0.004031702 0.0041146916 0.003925524 0.0039029461 0.0039267447 0.0039523738 0.0038248384 0.0038748763 0.0038053116 0.004057331 0.003837043 0.0037455102 0.0038901316 0.004073807 0.003747341 0.0036722843 0.0037656475 0.0037320855 0.0037772416 0.0037833438 0.003910879 0.0037656475 0.0...
1
482536c0ff8889f6f57d8997fa92a3b9b3780c39a3ff2dc12710f83b2872a0d7
2018-04
1
installcore
train
[ 0.17520225048065186, 0.029857397079467773, 0.006581653840839863, 0.006264568772166967, 0.010403811931610107, 0.004104963503777981, 0.004670574329793453, 0.003350815735757351, 0.010720896534621716, 0.002373851602897048, 0.0026052379980683327, 0.002673796843737364, 0.00725867273285985, 0.002...
0.17520225 0.029857397 0.006581654 0.006264569 0.010403812 0.0041049635 0.0046705743 0.0033508157 0.010720897 0.0023738516 0.002605238 0.0026737968 0.0072586727 0.0025109695 0.0016111339 0.010146716 0.024929726 0.0009512546 0.0012083505 0.0017996709 0.0037621693 0.0030680103 0.0014740162 0.0013968875 0.0033593858 0.001...
0
84a6577cbf8b0dd1e70960fb75b1a327b8cc1c897a5f62efe04423244dad0d24
2018-04
0
nan
train
[ 0.1309637427330017, 0.01533567626029253, 0.010843105614185333, 0.011717982590198517, 0.008594517596065998, 0.00599981565028429, 0.0033644400537014008, 0.0044541992247104645, 0.007825545966625214, 0.0032969056628644466, 0.0065715559758245945, 0.003626903286203742, 0.004784964490681887, 0.00...
0.13096374 0.015335676 0.010843106 0.011717983 0.008594518 0.0059998157 0.00336444 0.004454199 0.007825546 0.0032969057 0.006571556 0.0036269033 0.0047849645 0.0028778855 0.003659903 0.06940693 0.010099459 0.0037381814 0.002162635 0.0032892313 0.0025486555 0.0025962365 0.0010030391 0.00094164413 0.0028456533 0.00129236...
0
22ca638a6df7fa12ffbabaf023e12875f7fd2147623ddf42088c1f3b14bb5b89
2018-04
0
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
7587991043281ad3011e192bfa6c228b985f701d074ca4d8daed8f90629dee69
2018-04
1
vtflooder
train
[ 0.01063794270157814, 0.0038219750858843327, 0.003811547067016363, 0.0038894095923751593, 0.0038471182342618704, 0.00385673507116735, 0.0038415566086769104, 0.0039015754591673613, 0.0037862882018089294, 0.003892421955242753, 0.0038585891015827656, 0.0038832686841487885, 0.003831939771771431, ...
0.010637943 0.003821975 0.003811547 0.0038894096 0.0038471182 0.003856735 0.0038415566 0.0039015755 0.0037862882 0.003892422 0.003858589 0.0038832687 0.0038319398 0.0038745785 0.003877591 0.0038614857 0.0037994971 0.0038508258 0.0038765483 0.0038963614 0.0038286955 0.0038714502 0.0038743468 0.0038591684 0.0038306653 0....
1
c6a43f114f979167908c9938561901e20e9baf54de88dd84b67a9eb5b3ab4388
2018-04
1
winactivator
train
[ 0.042565129697322845, 0.004864657297730446, 0.003999441396445036, 0.004493138287216425, 0.005084077827632427, 0.00395954679697752, 0.00383487599901855, 0.004064270295202732, 0.0042961579747498035, 0.0036977380514144897, 0.0038273956160992384, 0.003525692271068692, 0.003944586496800184, 0.0...
0.04256513 0.0048646573 0.0039994414 0.0044931383 0.005084078 0.003959547 0.003834876 0.0040642703 0.004296158 0.003697738 0.0038273956 0.0035256923 0.0039445865 0.0038997047 0.0035157185 0.0038448495 0.004006922 0.0033411793 0.0035356658 0.003637896 0.0035431462 0.003595508 0.003243936 0.00326139 0.0035805474 0.003311...
1
a23e9b5d5b36c38c729364b49397a7fbd9d2e851b4f676907a19bcc0d6c36af3
2018-04
1
filetour
train
[ 0.383261501789093, 0.01293103490024805, 0.00754310330376029, 0.0061063216999173164, 0.005028735846281052, 0.012212643399834633, 0.008620689623057842, 0.002514367923140526, 0.005387931130826473, 0.002514367923140526, 0.0039511495269834995, 0.0021551724057644606, 0.0032327587250620127, 0.001...
0.3832615 0.012931035 0.0075431033 0.0061063217 0.005028736 0.012212643 0.00862069 0.002514368 0.005387931 0.002514368 0.0039511495 0.0021551724 0.0032327587 0.001795977 0.0010775862 0.008979885 0.005028736 0.0014367816 0.0 0.0010775862 0.001795977 0.0032327587 0.0003591954 0.0003591954 0.002514368 0.002514368 0.000359...
-1
085fd430b6db22712b19fe3e84664011c7234544a0adf8736aa3884bba1b1bd8
2018-04
-1
nan
train
[ 0.09057678282260895, 0.007986938580870628, 0.005888774991035461, 0.0039013500791043043, 0.005923074670135975, 0.002823358401656151, 0.0026861594524234533, 0.0032682749442756176, 0.007279383949935436, 0.0026391197461634874, 0.003874890273436904, 0.002807678421959281, 0.004048348870128393, 0...
0.09057678 0.007986939 0.005888775 0.00390135 0.0059230747 0.0028233584 0.0026861595 0.003268275 0.007279384 0.0026391197 0.0038748903 0.0028076784 0.004048349 0.002739079 0.0022853424 0.0035818724 0.005860355 0.0021981231 0.002107964 0.0030497366 0.003003677 0.0025822802 0.00260286 0.0021373637 0.004013069 0.001902165...
1
f313c86f403cab8ef19f0633de201d6dd4c8080e9f724c1962ff7c772a83ef93
2018-04
1
collector
train
[ 0.18079093098640442, 0.012776358984410763, 0.0075013404712080956, 0.008564522489905357, 0.011113433167338371, 0.004075531382113695, 0.003980117384344339, 0.0037756594829261303, 0.013694148510694504, 0.0021990605164319277, 0.002544367453083396, 0.002612520009279251, 0.007769407704472542, 0....
0.18079093 0.012776359 0.0075013405 0.0085645225 0.011113433 0.0040755314 0.0039801174 0.0037756595 0.0136941485 0.0021990605 0.0025443675 0.00261252 0.0077694077 0.0021808865 0.0016174907 0.01690187 0.008837134 0.0016356647 0.0019037321 0.0013085318 0.004093705 0.003666615 0.0010722692 0.0007269621 0.0029578272 0.0013...
-1
8b9fc89bda3cb0e15ba27df7ae244125e7b292076d700c0ac7009a5bf6674157
2018-04
-1
nan
train
[ 0.38417455554008484, 0.020173724740743637, 0.0013299239799380302, 0.0014070209581404924, 0.002524927956983447, 0.0008223684271797538, 0.0007645456353202462, 0.0016061883652582765, 0.0018631784478202462, 0.001015110989101231, 0.0005396792548708618, 0.0007388466037809849, 0.0014776932075619698...
0.38417456 0.020173725 0.001329924 0.001407021 0.002524928 0.0008223684 0.00076454564 0.0016061884 0.0018631784 0.001015111 0.00053967925 0.0007388466 0.0014776932 0.0011628803 0.00070672284 0.008602745 0.010363127 0.000912315 0.00025699014 0.001143606 0.00043688322 0.0012721012 0.00037906045 0.00025699014 0.0003340871...
-1
99458c5bd8f9aa5f9f65a4ff51dd28ea7858d4e6ab400c85ecc70d1dcddc1980
2018-04
-1
nan
train
[ 0.4948437511920929, 0.009296875447034836, 0.004062499850988388, 0.003046874888241291, 0.006093749776482582, 0.004765625111758709, 0.0021093750838190317, 0.0007031250279396772, 0.004062499850988388, 0.0017968750325962901, 0.0017187499906867743, 0.0013281250139698386, 0.0026562500279396772, ...
0.49484375 0.009296875 0.0040625 0.003046875 0.00609375 0.004765625 0.002109375 0.000703125 0.0040625 0.001796875 0.00171875 0.001328125 0.00265625 0.004375 0.00109375 0.003203125 0.005234375 0.00125 0.001015625 0.001015625 0.001328125 0.005078125 0.00078125 0.00046875 0.002734375 0.001328125 0.000703125 0.0009375 0.00...
-1
45b6afcd58c1d27f3f09b68f86c68d87658445e931ee5268b57effc774d24ddb
2018-04
-1
nan
train
[ 0.598388671875, 0.015869140625, 0.005126953125, 0.001953125, 0.003662109375, 0.001953125, 0.00390625, 0.000732421875, 0.00341796875, 0.001220703125, 0.005126953125, 0.0009765625, 0.001708984375, 0.00341796875, 0.001708984375, 0, 0.00244140625, 0.001220703125, 0.00146484375, 0.0...
0.5983887 0.01586914 0.005126953 0.001953125 0.0036621094 0.001953125 0.00390625 0.0007324219 0.0034179688 0.0012207031 0.005126953 0.0009765625 0.0017089844 0.0034179688 0.0017089844 0.0 0.0024414062 0.0012207031 0.0014648438 0.00048828125 0.00048828125 0.0012207031 0.0009765625 0.00024414062 0.00024414062 0.001220703...
0
c9fdbdc71fb18936acc38bb8da419a9042115c4a1a8e9502c06398433d5761e9
2018-04
0
nan
train
[ 0.11126771569252014, 0.010993879288434982, 0.01263490691781044, 0.005194909870624542, 0.005476803984493017, 0.003785438137128949, 0.009584407322108746, 0.004288821015506983, 0.0038861148059368134, 0.0030404317658394575, 0.014014175161719322, 0.004067332483828068, 0.003976723644882441, 0.00...
0.111267716 0.010993879 0.012634907 0.00519491 0.005476804 0.0037854381 0.009584407 0.004288821 0.0038861148 0.0030404318 0.014014175 0.0040673325 0.0039767236 0.0031914464 0.0035035438 0.0026578608 0.0034632732 0.0049734213 0.004953286 0.00420828 0.003352529 0.0036042205 0.0047922037 0.0042586178 0.004439836 0.0036545...
0
141f2da65acb08d80e43c0f85b8255a9cfff33da36ad94b01e2f074abd8c20d8
2018-04
0
nan
train
[ 0.006753488443791866, 0.003925013355910778, 0.003792717820033431, 0.0040430305525660515, 0.003653282765299082, 0.0038056850899010897, 0.003875329624861479, 0.004003399983048439, 0.0036626076325774193, 0.003713602665811777, 0.0037203049287199974, 0.0038361363112926483, 0.00382404332049191, ...
0.0067534884 0.0039250134 0.0037927178 0.0040430306 0.0036532828 0.003805685 0.0038753296 0.0040034 0.0036626076 0.0037136027 0.003720305 0.0038361363 0.0038240433 0.0039162715 0.0038502694 0.004110781 0.003608553 0.0036052018 0.0036423553 0.0037982543 0.003712437 0.0037879096 0.0038030625 0.0038968932 0.003796506 0.00...
0
da32f76768353d4d9af959b6094e51a8f202ceb8de4ae31638ba45f44c4fb71d
2018-04
0
nan
train
[ 0.24474714696407318, 0.013681149110198021, 0.010505697689950466, 0.008161205798387527, 0.008962487801909447, 0.005668328609317541, 0.00982312485575676, 0.003561253659427166, 0.005994776729494333, 0.0032644823659211397, 0.0052231717854738235, 0.002700617304071784, 0.001958689419552684, 0.00...
0.24474715 0.013681149 0.010505698 0.008161206 0.008962488 0.0056683286 0.009823125 0.0035612537 0.0059947767 0.0032644824 0.005223172 0.0027006173 0.0019586894 0.004688984 0.0023148148 0.008784425 0.0050747865 0.0016915954 0.0019586894 0.0040657646 0.002374169 0.006558642 0.0027006173 0.0015135327 0.0034425452 0.00089...
0
59ca6f560cf5af87d2e86fba353a1c2aecc652a6d149cc2150182bd8653d7fa9
2018-04
0
nan
train
[ 0.2092459350824356, 0.010418491438031197, 0.00545313348993659, 0.00611849594861269, 0.010811553336679935, 0.003833531402051449, 0.003930612932890654, 0.0031586973927915096, 0.015336493961513042, 0.0020836982876062393, 0.0023536321241408587, 0.0018540179589763284, 0.007451589684933424, 0.00...
0.20924594 0.010418491 0.0054531335 0.006118496 0.010811553 0.0038335314 0.003930613 0.0031586974 0.015336494 0.0020836983 0.0023536321 0.001854018 0.0074515897 0.0018469144 0.001560406 0.0071437703 0.0065991674 0.0019179496 0.0013946572 0.0012075979 0.0040111193 0.003194215 0.0012715296 0.0010276422 0.0033741707 0.001...
-1
1813da6bdd12a74f00205ff03e97c5172330c382e6272c525ff37f4437454b34
2018-04
-1
nan
train
[ 0.015773313120007515, 0.005066440440714359, 0.00445812102407217, 0.004737207666039467, 0.005079445894807577, 0.004180557560175657, 0.0042471070773899555, 0.00419731205329299, 0.00506562041118741, 0.004045818001031876, 0.004056831356137991, 0.004035273101180792, 0.00454189395532012, 0.00405...
0.015773313 0.0050664404 0.004458121 0.0047372077 0.005079446 0.0041805576 0.004247107 0.004197312 0.0050656204 0.004045818 0.0040568314 0.004035273 0.004541894 0.004058003 0.0040243766 0.004615708 0.005179505 0.003875226 0.00392092 0.003826134 0.0042472244 0.0038838962 0.0039095553 0.0037784479 0.004200827 0.003742595...
0
e83b8a03466ca559ea130eec66eb315fe5724b5ad189558a5906bb5c16dd853c
2018-04
0
nan
train
[ 0.011142738163471222, 0.004809620790183544, 0.004462494980543852, 0.004231077618896961, 0.004420068580657244, 0.00394952017813921, 0.004362214356660843, 0.0034943995997309685, 0.004462494980543852, 0.004277361091226339, 0.0042195068672299385, 0.0039032367058098316, 0.004443210083991289, 0....
0.011142738 0.004809621 0.004462495 0.0042310776 0.0044200686 0.00394952 0.0043622144 0.0034943996 0.004462495 0.004277361 0.004219507 0.0039032367 0.00444321 0.0038993799 0.0037759573 0.0036178222 0.0044200686 0.0040073744 0.004111512 0.0041423677 0.004049801 0.004188651 0.003799099 0.0039263787 0.0045859176 0.0041423...
0
62e8c099e956f2db444eb9f08aff2e023606902be3469413f3fc8db52204e3d8
2018-04
0
nan
train
[ 0.060329172760248184, 0.007444907911121845, 0.004859164357185364, 0.005534653551876545, 0.0058905561454594135, 0.0033556560520082712, 0.0032539693638682365, 0.00470663420855999, 0.0037406121846288443, 0.0036897689569741488, 0.003232179442420602, 0.003900405252352357, 0.003493659198284149, ...
0.060329173 0.007444908 0.0048591644 0.0055346536 0.005890556 0.003355656 0.0032539694 0.004706634 0.0037406122 0.003689769 0.0032321794 0.0039004053 0.0034936592 0.0031595463 0.0028544865 0.009144526 0.0033701826 0.003021543 0.0029343832 0.0035299757 0.0040384084 0.0033266027 0.0027019568 0.0034936592 0.0031159662 0.0...
1
43d239c078f18ea9e5b8544a4916a071d6a72df628a0b01cd5c0d273756d08de
2018-04
1
byfh
train
[ 0.01094990037381649, 0.0044171628542244434, 0.004381820559501648, 0.003987475298345089, 0.004538070410490036, 0.004054439254105091, 0.004239831119775772, 0.00395895354449749, 0.004422742873430252, 0.0037196180783212185, 0.0039124502800405025, 0.0041059027425944805, 0.003913690336048603, 0....
0.0109499 0.004417163 0.0043818206 0.0039874753 0.0045380704 0.0040544393 0.004239831 0.0039589535 0.004422743 0.003719618 0.0039124503 0.0041059027 0.0039136903 0.0037531003 0.0036941965 0.0040104166 0.004296875 0.0036600942 0.0038374255 0.003734499 0.003889509 0.003606771 0.0036507936 0.004420883 0.003842386 0.003463...
1
4f381fb44298541707f37f784f73b5044ace0e9acbb2cd46c7dd0693a48a1763
2018-04
1
orcus
train
[ 0.006487442180514336, 0.004000817891210318, 0.00402052141726017, 0.003940868191421032, 0.003918828908354044, 0.00393170490860939, 0.0038700783625245094, 0.00396674033254385, 0.003946737386286259, 0.003931645303964615, 0.003888644278049469, 0.00388858444057405, 0.003924757707864046, 0.00389...
0.006487442 0.004000818 0.0040205214 0.003940868 0.003918829 0.003931705 0.0038700784 0.0039667403 0.0039467374 0.0039316453 0.0038886443 0.0038885844 0.0039247577 0.0038915789 0.0038957712 0.003938652 0.004188393 0.0038723543 0.0038578608 0.0038723543 0.0038837933 0.003884991 0.0038695994 0.0038784032 0.0039005624 0.0...
-1
05458f4cc206eee99be22c4c89617d2db50e99acc9f010349ba8a84f78c441dc
2018-04
-1
nan
train
[ 0.006982418708503246, 0.004171173088252544, 0.004032555501908064, 0.003925831988453865, 0.004111187066882849, 0.0038719794247299433, 0.0038453598972409964, 0.003867317922413349, 0.003981278743594885, 0.003967049065977335, 0.0038820384070277214, 0.003854314796626568, 0.003927426412701607, 0...
0.0069824187 0.004171173 0.0040325555 0.003925832 0.004111187 0.0038719794 0.00384536 0.003867318 0.0039812787 0.003967049 0.0038820384 0.0038543148 0.0039274264 0.0037553194 0.0038524747 0.0039468086 0.00400336 0.003908535 0.0039140554 0.003863883 0.0039113564 0.0038615523 0.0038316206 0.0038857185 0.003890012 0.00388...
-1
d9d40b604b2e739893e37c868c1c34ad01b60b35db30fe31103f9ac4bfb811bc
2018-04
-1
nan
train
[ 0.01518997736275196, 0.0020927616860717535, 0.0016425226349383593, 0.0012755284551531076, 0.0010911362478509545, 0.0007196665974333882, 0.0007017644238658249, 0.0007142959511838853, 0.0011645350605249405, 0.0005934563814662397, 0.0006614846060983837, 0.0006408971385098994, 0.0009237511549144...
0.015189977 0.0020927617 0.0016425226 0.0012755285 0.0010911362 0.0007196666 0.0007017644 0.00071429595 0.0011645351 0.0005934564 0.0006614846 0.00064089714 0.00092375115 0.000855723 0.00064358243 0.0011690106 0.0017964812 0.0006972889 0.00090226857 0.0006874427 0.00073577854 0.0007536807 0.00062120473 0.00059703685 0....
1
bf2d3f9da7e61c91d68fc7a2c32d9df7134d2c5d17010cf2647f231aaf96f355
2018-04
1
adposhel
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003579464042559266, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.003579464 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.0115565555 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
d4ad37cf11645d6697e088d70e6b45b7b920b972c8f898447e31814f2d860894
2018-04
1
vtflooder
train
[ 0.1580568253993988, 0.011660229414701462, 0.010621489025652409, 0.006195868365466595, 0.009107268415391445, 0.004535346291959286, 0.0065104165114462376, 0.003562441561371088, 0.007102937903255224, 0.0035551264882087708, 0.010211844928562641, 0.003152797231450677, 0.0032771534752100706, 0.0...
0.15805683 0.011660229 0.010621489 0.0061958684 0.009107268 0.0045353463 0.0065104165 0.0035624416 0.007102938 0.0035551265 0.010211845 0.0031527972 0.0032771535 0.0030869616 0.003123537 0.0025749065 0.003123537 0.0028601943 0.0033649344 0.0022969334 0.0025017557 0.0025456462 0.0026919476 0.0026041667 0.0029845505 0.00...
0
a5202f4011a9de07f5a02c8ec7abdafcedf65ab88aa04e29108bc2e668015795
2018-04
0
nan
train
[ 0.23458652198314667, 0.008505016565322876, 0.004098712000995874, 0.003536651376634836, 0.0033807342406362295, 0.008400886319577694, 0.0029033846221864223, 0.002532732440158725, 0.004499274771660566, 0.002112861257046461, 0.001987859606742859, 0.0015572739066556096, 0.001573122339323163, 0....
0.23458652 0.008505017 0.004098712 0.0035366514 0.0033807342 0.008400886 0.0029033846 0.0025327324 0.004499275 0.0021128613 0.0019878596 0.0015572739 0.0015731223 0.0035083028 0.001576359 0.005730094 0.0045969323 0.002233845 0.0013709993 0.0012851723 0.0015588364 0.012069793 0.0013195478 0.0012289216 0.002845348 0.0024...
-1
e871029de663e693718e21b2307074be28cae0d540fed18bea43b659ee9a6a43
2018-04
-1
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
685ed14f65fb7b4b8d0dfbc76e958d93e3e56042e5f133b9490ae572fa943aac
2018-04
1
vtflooder
train
[ 0.24025069177150726, 0.03664693608880043, 0.014275765977799892, 0.015059192664921284, 0.011229109019041061, 0.007660167291760445, 0.017235375940799713, 0.003307799343019724, 0.0043523674830794334, 0.005571030545979738, 0.0037430361844599247, 0.004787604324519634, 0.0033948468044400215, 0.0...
0.24025069 0.036646936 0.014275766 0.015059193 0.011229109 0.0076601673 0.017235376 0.0033077993 0.0043523675 0.0055710305 0.0037430362 0.0047876043 0.0033948468 0.005658078 0.0047876043 0.0021761837 0.0060062674 0.002002089 0.0017409471 0.0062674093 0.0026114206 0.0023502787 0.003220752 0.003220752 0.0018279945 0.0017...
0
561806c4ecfa4da8bae8125f1ee602ec4465d9fffc90e33ea885697af92d7c40
2018-04
0
nan
train
[ 0.042937397956848145, 0.0046888007782399654, 0.003948061726987362, 0.004418978001922369, 0.004828802775591612, 0.003808059496805072, 0.003680784720927477, 0.0038564240094274282, 0.004172065295279026, 0.0035687831696122885, 0.003830969100818038, 0.0034618722274899483, 0.003818241413682699, ...
0.042937398 0.004688801 0.0039480617 0.004418978 0.004828803 0.0038080595 0.0036807847 0.003856424 0.0041720653 0.0035687832 0.003830969 0.0034618722 0.0038182414 0.0037673316 0.0035407827 0.003825878 0.003958244 0.003197141 0.0034007805 0.0034822363 0.0034771452 0.0036018745 0.0032709602 0.0033065972 0.0034364173 0.00...
1
b9bf4614213cee68d9989d00ea40327cfeaf1d8390710228c2a6e90793296c49
2018-04
1
filetour
train
[ 0.14023438096046448, 0.006009615492075682, 0.003155048005282879, 0.0033353364560753107, 0.0038161056581884623, 0.003094951855018735, 0.002624198794364929, 0.0025140224024653435, 0.0036959133576601744, 0.003054887754842639, 0.002804487245157361, 0.0024338942021131516, 0.003936298191547394, ...
0.14023438 0.0060096155 0.003155048 0.0033353365 0.0038161057 0.0030949519 0.0026241988 0.0025140224 0.0036959134 0.0030548878 0.0028044872 0.0024338942 0.003936298 0.0030248398 0.0029246795 0.005949519 0.003595753 0.0029947916 0.0025240385 0.0026141827 0.0036258013 0.0020332532 0.002323718 0.003084936 0.0049178684 0.0...
1
35586047bef9fe7f5c812111b131784bc6687b8eac086c61de21596a9d361f0c
2018-04
1
emotet
train
[ 0.6112615466117859, 0.005768625997006893, 0.004961966071277857, 0.039205681532621384, 0.0052200970239937305, 0.0024512375239282846, 0.002316121943295002, 0.002445187419652939, 0.0012967055663466454, 0.0011010905727744102, 0.005294713191688061, 0.0019188419682905078, 0.001412662910297513, 0...
0.61126155 0.005768626 0.004961966 0.03920568 0.005220097 0.0024512375 0.002316122 0.0024451874 0.0012967056 0.0011010906 0.005294713 0.001918842 0.0014126629 0.0014015713 0.0011817566 0.0012755308 0.001903717 0.0016899522 0.0009488336 0.006483528 0.00025006454 0.0003347638 0.0005747451 0.00041240483 0.00047492093 0.00...
0
70aeeb38ea75bab4f5085c7614554f23d8d98a7ef583cf5532bb61070a34cbb7
2018-04
0
nan
train
[ 0.06277722120285034, 0.007358870934695005, 0.006590221542865038, 0.0034274193458259106, 0.005859375, 0.004372479859739542, 0.004750504158437252, 0.0044480846263468266, 0.003603830700740218, 0.003540826728567481, 0.0073840725235641, 0.003717237850651145, 0.0030115926638245583, 0.00415826635...
0.06277722 0.007358871 0.0065902215 0.0034274193 0.005859375 0.00437248 0.004750504 0.0044480846 0.0036038307 0.0035408267 0.0073840725 0.0037172379 0.0030115927 0.0041582664 0.0036290323 0.0030997985 0.0032384072 0.004082661 0.0038054436 0.003326613 0.003061996 0.0036542339 0.003641633 0.0036038307 0.003251008 0.00341...
0
e6ef22c263b2ca9b0b12194b33ff721edbc90984537ce9973ed752c430bbfb5f
2018-04
0
nan
train
[ 0.49828609824180603, 0.00027949747163802385, 0.00013555207988247275, 0.00007637919043190777, 0.0003730829630512744, 0.00007889718835940585, 0.0003625913232099265, 0.0000663072059978731, 0.000054976229876047, 0.0000360912672476843, 0.00028453345294110477, 0.00003567160092643462, 0.00004028792...
0.4982861 0.00027949747 0.00013555208 7.637919e-05 0.00037308296 7.889719e-05 0.00036259132 6.6307206e-05 5.497623e-05 3.6091267e-05 0.00028453345 3.56716e-05 4.0287923e-05 4.364525e-05 4.910091e-05 2.6019285e-05 2.9796278e-05 8.0156184e-05 6.6726876e-05 6.3369545e-05 3.063561e-05 2.5599618e-05 4.3225584e-05 2.8117614e...
1
c56b86fb7b473724badb32caa7ba0ca19fe2aa84ab55a93287620c8232799660
2018-04
1
ranos
train
[ 0.06032366305589676, 0.007445123977959156, 0.004852041602134705, 0.005534814205020666, 0.005890727508813143, 0.0033557533752173185, 0.00325406389310956, 0.004706771112978458, 0.0037407209165394306, 0.0036898760590702295, 0.003239536890760064, 0.0039005186408758163, 0.0034937607124447823, 0...
0.060323663 0.007445124 0.0048520416 0.005534814 0.0058907275 0.0033557534 0.003254064 0.004706771 0.003740721 0.003689876 0.003239537 0.0039005186 0.0034937607 0.003159638 0.0028545696 0.009144791 0.003363017 0.003021631 0.0029344684 0.0035300783 0.0040385257 0.0033339628 0.0027020352 0.0034937607 0.0031160568 0.00347...
-1
ace647bd35c3cb40f06fb25ad894731d665d679fc1d4405339fd732dd6b276f0
2018-04
-1
byfh
train
[ 0.01166676077991724, 0.0039711263962090015, 0.003953920211642981, 0.004026185255497694, 0.003961949609220028, 0.0039011554326862097, 0.003967685159295797, 0.0038873907178640366, 0.00392294954508543, 0.0038770672399550676, 0.003924096468836069, 0.0039023025892674923, 0.0037979199551045895, ...
0.011666761 0.0039711264 0.00395392 0.0040261853 0.0039619496 0.0039011554 0.003967685 0.0038873907 0.0039229495 0.0038770672 0.0039240965 0.0039023026 0.00379792 0.0040342147 0.0039000083 0.0039998027 0.003925244 0.003950479 0.0038013612 0.0038816554 0.0038208612 0.003854126 0.0040204497 0.0038587141 0.003998656 0.003...
-1
9567771f5909274d575381b2b83b7dd3c7ee01393300abfd4710905f361e9545
2018-04
-1
nan
train
[ 0.18046697974205017, 0.012740500271320343, 0.007520024664700031, 0.008545069955289364, 0.011116755194962025, 0.004077504388988018, 0.003968650009483099, 0.0037600123323500156, 0.013661227189004421, 0.0021952304523438215, 0.002526329131796956, 0.0026397190522402525, 0.007760411594063044, 0....
0.18046698 0.0127405 0.0075200247 0.00854507 0.011116755 0.0040775044 0.00396865 0.0037600123 0.013661227 0.0021952305 0.0025263291 0.002639719 0.0077604116 0.002177088 0.0016010668 0.016876968 0.008839884 0.0016373516 0.0018777384 0.0013289307 0.0040865755 0.0036829072 0.0010749372 0.0007211604 0.0029209263 0.00135160...
-1
0e90b9fa74266450b4ee6d3513a76cfafdcbc0b6f327002e0b99736f5fc94bd4
2018-04
-1
nan
train
[ 0.1475040167570114, 0.0065726484172046185, 0.004236557986587286, 0.0014576631365343928, 0.0020608340855687857, 0.0036836510989814997, 0.0007252412615343928, 0.0007802926120348275, 0.0026999081019312143, 0.002467735204845667, 0.00037099802284501493, 0.00026807599351741374, 0.00113932287786155...
0.14750402 0.0065726484 0.004236558 0.0014576631 0.002060834 0.003683651 0.00072524126 0.0007802926 0.002699908 0.0024677352 0.00037099802 0.000268076 0.0011393229 0.0019339767 0.0003518497 0.0005002489 0.0024198645 0.00073481543 0.0006677964 0.00024653415 0.0007922603 0.011668486 0.00019626992 0.00022499234 0.00090715...
1
a8881ec6d4a8842f2714402aa0c069528a7e7a23aeae91b37deab6ac0f942877
2018-04
1
netwiredrc
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0033749233 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
f3bc15391e2ec8df75477176660d367328f58972648da2076fb85d7ba69d91e5
2018-04
1
vtflooder
train
[ 0.1622137576341629, 0.007498478516936302, 0.003992937505245209, 0.00346838915720582, 0.006421959958970547, 0.0025378242135047913, 0.002135345945134759, 0.001892974367365241, 0.007126075681298971, 0.001768250367604196, 0.0015223405789583921, 0.001283507444895804, 0.005042919423431158, 0.001...
0.16221376 0.0074984785 0.0039929375 0.0034683892 0.00642196 0.0025378242 0.002135346 0.0018929744 0.0071260757 0.0017682504 0.0015223406 0.0012835074 0.0050429194 0.00153384 0.0010570581 0.0068607056 0.0046430947 0.001501111 0.0011525914 0.001049097 0.0025944365 0.0024582131 0.00092879584 0.00061300525 0.0020690034 0....
-1
aca40e8e0825ab0cb11f030f70774cb1c391244309463fd849c5afb3936eb8b7
2018-04
-1
zusy
train
[ 0.003984331618994474, 0.0035930369049310684, 0.0035641107242554426, 0.003752959193661809, 0.0035419927444308996, 0.0036880767438560724, 0.00370416441000998, 0.0038950538728386164, 0.003543047932907939, 0.0037191780284047127, 0.003625975688919425, 0.0038668173365294933, 0.0037675565108656883,...
0.0039843316 0.003593037 0.0035641107 0.0037529592 0.0035419927 0.0036880767 0.0037041644 0.0038950539 0.003543048 0.003719178 0.0036259757 0.0038668173 0.0037675565 0.0037761882 0.0038528077 0.0040793205 0.0035068647 0.003755838 0.003686642 0.003846731 0.0036663844 0.0037655712 0.0038498226 0.0039783567 0.0038016061 0...
0
28c3c5e02ed27c568be0759e1971b6b060f98cf5b186d86c87aabbcecd279494
2018-04
0
nan
train
[ 0.1691037118434906, 0.012059981003403664, 0.01837245747447014, 0.006501732859760523, 0.01300905179232359, 0.004086803179234266, 0.0029072731267660856, 0.0033954267855733633, 0.013152914121747017, 0.002161424607038498, 0.0023178572300821543, 0.001664192182943225, 0.0060010082088410854, 0.00...
0.16910371 0.012059981 0.018372457 0.006501733 0.013009052 0.004086803 0.0029072731 0.0033954268 0.013152914 0.0021614246 0.0023178572 0.0016641922 0.006001008 0.0017633593 0.0011941958 0.004256505 0.0078083645 0.0017431069 0.0020273393 0.0011404221 0.0059486316 0.0022850344 0.0009351042 0.0010789664 0.0027054471 0.000...
0
2be6dc8b0e1b4853db6c4668be3a21e4b114bf5689f17164192f0e89e976ec7b
2018-04
0
nan
train
[ 0.020191239193081856, 0.004819290712475777, 0.0037139616906642914, 0.004118264652788639, 0.003841229248791933, 0.0037695092614740133, 0.003796931589022279, 0.004021232016384602, 0.004066935740411282, 0.003732243087142706, 0.003781462786719203, 0.003744196379557252, 0.003788494039326906, 0....
0.02019124 0.0048192907 0.0037139617 0.0041182647 0.0038412292 0.0037695093 0.0037969316 0.004021232 0.0040669357 0.003732243 0.0037814628 0.0037441964 0.003788494 0.0038988863 0.0038257602 0.0041773277 0.0039980286 0.0040127942 0.003627476 0.003798338 0.0038215413 0.0039312304 0.0038257602 0.0037941192 0.0038602138 0....
0
31a45a39e77a549f6afb6bea47649dbadd01faf04283657c2ee4fce9a79f2578
2018-04
0
nan
train
[ 0.3288690447807312, 0.012797619216144085, 0.008630952797830105, 0.0032738095615059137, 0.0038690476212650537, 0.011607143096625805, 0.004761904943734407, 0.0029761905316263437, 0.0071428571827709675, 0.0008928571478463709, 0.0026785715017467737, 0.0023809524718672037, 0.005059523973613977, ...
0.32886904 0.012797619 0.008630953 0.0032738096 0.0038690476 0.011607143 0.004761905 0.0029761905 0.007142857 0.00089285715 0.0026785715 0.0023809525 0.005059524 0.004166667 0.0023809525 0.006547619 0.0026785715 0.0023809525 0.0 0.00029761906 0.0029761905 0.0035714286 0.00029761906 0.0005952381 0.0026785715 0.000595238...
-1
5aa8439b7e15b2aa4d4ec3eb81c5c217042aa848b3009db64a02edd559f1d7a1
2018-04
-1
nan
train
[ 0.10817185789346695, 0.01380980759859085, 0.0032083767000585794, 0.0010135638294741511, 0.000898047408554703, 0.0008048889576457441, 0.0014011029852554202, 0.0005142345908097923, 0.00042852884507738054, 0.0007191831828095019, 0.00042852884507738054, 0.00044343419722281396, 0.0005850350135006...
0.10817186 0.013809808 0.0032083767 0.0010135638 0.0008980474 0.00080488896 0.001401103 0.0005142346 0.00042852885 0.0007191832 0.00042852885 0.0004434342 0.000585035 0.00049187656 0.0004434342 0.00049932924 0.0007713519 0.0003353704 0.0049895663 0.0010694589 0.0022097183 0.0004956029 0.0042442987 0.00035400208 0.00050...
0
2fcf0d331075c59cb7b1b852d419bb92eb9fb6bd181583c26e45e3d38309674a
2018-04
0
nan
train
[ 0.258435994386673, 0.01705622300505638, 0.003263845108449459, 0.004027163609862328, 0.009725731797516346, 0.0030795957427471876, 0.004040324129164219, 0.001552958507090807, 0.005527479574084282, 0.0016187618020921946, 0.0016450831899419427, 0.0012239419156685472, 0.0041192881762981415, 0.0...
0.258436 0.017056223 0.003263845 0.0040271636 0.009725732 0.0030795957 0.004040324 0.0015529585 0.0055274796 0.0016187618 0.0016450832 0.0012239419 0.004119288 0.0022636345 0.0011186566 0.0026847757 0.0035138978 0.00093440723 0.00089492527 0.0018030112 0.0018556538 0.005435355 0.0010133713 0.0009870499 0.0019740998 0.0...
0
c2ee21f28811954eb2208748908ff814359a74e1a20b5c4691f84e958ed9dfb6
2018-04
0
nan
train
[ 0.09865963459014893, 0.012016412802040577, 0.005548841319978237, 0.008549299091100693, 0.015047859400510788, 0.002922073705121875, 0.0035691955126821995, 0.007882125675678253, 0.01807383820414543, 0.0034999260678887367, 0.002854627324268222, 0.0038389815017580986, 0.00818290002644062, 0.00...
0.098659635 0.012016413 0.0055488413 0.008549299 0.015047859 0.0029220737 0.0035691955 0.007882126 0.018073838 0.003499926 0.0028546273 0.0038389815 0.0081829 0.0021473505 0.0016241845 0.009849011 0.025866643 0.0013580442 0.0010281033 0.0016150702 0.007348022 0.0025520294 0.00096794835 0.001122893 0.0055287895 0.000761...
0
dd075b72ac949271325c9a243b0bb426e11e8ed816a3a6fe7f5b3f03d169bf51
2018-04
0
nan
train
[ 0.3777223527431488, 0.029009675607085228, 0.014547963626682758, 0.016546152532100677, 0.010882222093641758, 0.009523740969598293, 0.008086195215582848, 0.006145508494228125, 0.009300921112298965, 0.0037016805727034807, 0.0035866769030690193, 0.007424924056977034, 0.0019622500985860825, 0.0...
0.37772235 0.029009676 0.014547964 0.016546153 0.010882222 0.009523741 0.008086195 0.0061455085 0.009300921 0.0037016806 0.003586677 0.007424924 0.00196225 0.0024582034 0.0034572978 0.0025085174 0.0049020313 0.0023719505 0.0013656685 0.004643273 0.0023288243 0.0016100514 0.0020341272 0.0019263114 0.002946969 0.00248695...
0
d8f037a2df17f884c89fd5c738618fb95579ed3bd0dbd5ebad392502a82ad335
2018-04
0
nan
train
[ 0.3224238455295563, 0.006852304562926292, 0.002689638640731573, 0.003442519111558795, 0.002416855888441205, 0.11978984624147415, 0.00043645250843837857, 0.0009438285487703979, 0.0035952776670455933, 0.0019476693123579025, 0.008281686343252659, 0.00032733939588069916, 0.000703779689501971, ...
0.32242385 0.0068523046 0.0026896386 0.003442519 0.002416856 0.119789846 0.0004364525 0.00094382855 0.0035952777 0.0019476693 0.008281686 0.0003273394 0.0007037797 0.0070868977 0.0011129539 0.0006874127 0.0011456879 0.0005128317 0.00045281948 0.00041462987 0.00067650137 0.00036552898 0.00035461766 0.00031642808 0.00056...
0
cf981ac55ff3ef9e6bfc3b37391080db4e0d6ffda63f8c3a3acbab6ba6435e16
2018-04
0
nan
train
[ 0.32696533203125, 0.012646484188735485, 0.004687500186264515, 0.004833984188735485, 0.00814208947122097, 0.0026367187965661287, 0.0013793945545330644, 0.0031372071243822575, 0.0072998045943677425, 0.0017333984142169356, 0.0023681640159338713, 0.0020874023903161287, 0.00543212890625, 0.0041...
0.32696533 0.012646484 0.0046875 0.004833984 0.0081420895 0.0026367188 0.0013793946 0.0031372071 0.0072998046 0.0017333984 0.002368164 0.0020874024 0.005432129 0.0041870116 0.0021118163 0.0025390624 0.005505371 0.001953125 0.0013183594 0.00091552734 0.00456543 0.002355957 0.0005859375 0.0015625 0.003442383 0.0010986328...
0
8540a24b47d489507b3a77b217fb10b246f13914570e238e70de3e6ee4b05c80
2018-04
0
nan
train
[ 0.29828941822052, 0.010200055316090584, 0.0012953812256455421, 0.001994543941691518, 0.0018272596644237638, 0.0010809141676872969, 0.002209010999649763, 0.0010980714578181505, 0.0010079953353852034, 0.0013554319739341736, 0.0014712442643940449, 0.0009179191547445953, 0.0007935282192192972, ...
0.29828942 0.010200055 0.0012953812 0.001994544 0.0018272597 0.0010809142 0.002209011 0.0010980715 0.0010079953 0.001355432 0.0014712443 0.00091791915 0.0007935282 0.0013254066 0.000853579 0.00065197994 0.0008921831 0.00068200537 0.0005833505 0.0014540869 0.0007420561 0.00066055864 0.00075492414 0.0005490357 0.00066484...
0
45f926e707b420983e9828d7e6648028f5e7eac81647f4ebfc8787ba5be579f3
2018-04
0
nan
train
[ 0.015159543603658676, 0.0021437830291688442, 0.0017472502076998353, 0.0012755284551531076, 0.0010329543147236109, 0.0007232470088638365, 0.000857513165101409, 0.0006704356637783349, 0.0011341014178469777, 0.0006498481961898506, 0.0006740160752087831, 0.0005988270277157426, 0.0009246462723240...
0.015159544 0.002143783 0.0017472502 0.0012755285 0.0010329543 0.000723247 0.00085751317 0.00067043566 0.0011341014 0.0006498482 0.0006740161 0.000598827 0.0009246463 0.00075457577 0.00063373626 0.0011690106 0.0016881732 0.0006131488 0.0007903801 0.00065790414 0.00070265954 0.00071071554 0.00060867326 0.0005585472 0.00...
1
6e414e08c9defd1cb8a771c3d4c5519bd75c327eda3ab01e4d701517123cb8be
2018-04
1
adposhel
train
[ 0.21050892770290375, 0.019248399883508682, 0.009103471413254738, 0.007917087525129318, 0.007962588220834732, 0.00876643043011427, 0.006658240687102079, 0.009792719967663288, 0.00997303705662489, 0.0017930569592863321, 0.002374452305957675, 0.001980114495381713, 0.002382878214120865, 0.0026...
0.21050893 0.0192484 0.009103471 0.0079170875 0.007962588 0.00876643 0.0066582407 0.00979272 0.009973037 0.001793057 0.0023744523 0.0019801145 0.0023828782 0.0026390294 0.0012099764 0.010921806 0.0071199867 0.0022446916 0.0011560499 0.0011206606 0.002000337 0.0038186722 0.0011594202 0.0009892148 0.0041540274 0.00204078...
-1
ebf3acc7b4cf434f1597123519845b2886463adda7b5df60df650688b50c61a2
2018-04
-1
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0067498465068638325, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.0067498465 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056...
1
f6f3aeb9056b6c9b428912437ed6e1dc472f376bfa0939e34ad1f3ef2ff3d0e3
2018-04
1
vtflooder
train
[ 0.188546821475029, 0.016130845993757248, 0.011170750483870506, 0.005634554661810398, 0.00810757651925087, 0.0030350720044225454, 0.003112353850156069, 0.0024659959599375725, 0.00917547196149826, 0.002016355749219656, 0.002325483364984393, 0.0012013826053589582, 0.013397875241935253, 0.0020...
0.18854682 0.016130846 0.0111707505 0.0056345547 0.0081075765 0.003035072 0.0031123539 0.002465996 0.009175472 0.0020163557 0.0023254834 0.0012013826 0.013397875 0.0020585095 0.0010678957 0.011543109 0.0146484375 0.0011662545 0.0009695369 0.0012646134 0.0036673786 0.003962455 0.00106087 0.0014332284 0.00262056 0.001060...
1
90626125511980bc6129e81d43a02928f8d619ee27eba17044eaf3954a5a739c
2018-04
1
snojan
train
[ 0.16426783800125122, 0.023349499329924583, 0.01056007482111454, 0.014979662373661995, 0.01380632072687149, 0.008369836956262589, 0.017365457490086555, 0.00426314165815711, 0.004341364372521639, 0.00528003741055727, 0.006179599557071924, 0.004184918478131294, 0.003089799778535962, 0.0059840...
0.16426784 0.0233495 0.010560075 0.014979662 0.013806321 0.008369837 0.017365457 0.0042631417 0.0043413644 0.0052800374 0.0061795996 0.0041849185 0.0030897998 0.005984043 0.004654255 0.0017209011 0.0025422403 0.0032071339 0.0016426784 0.0060622655 0.0029333541 0.0013688987 0.003520025 0.0028551314 0.0016035669 0.001525...
0
3bcd1b5f7ebecb3bc9ca3f17dffe90a93a9cc64d5797f08953ac7b74ce945d9e
2018-04
0
nan
train
[ 0.04367556795477867, 0.040223803371191025, 0.014268316328525543, 0.017068764194846153, 0.011104564182460308, 0.03911341726779938, 0.04858347401022911, 0.02307974547147751, 0.021403571590781212, 0.00048172654351219535, 0.003771209856495261, 0.0037339290138334036, 0.007785110268741846, 0.000...
0.043675568 0.040223803 0.014268316 0.017068764 0.011104564 0.039113417 0.048583474 0.023079745 0.021403572 0.00048172654 0.0037712099 0.003733929 0.0077851103 0.0005314343 0.00046272067 0.0015350922 0.0013589221 0.0004510247 0.0004926915 0.0067763356 0.0009122834 0.000782166 0.0036666773 0.00993424 0.0007309963 0.0036...
1
8918304e9baee7cb8e1ddb064918c4e589505cf2edd9e77c29d5d59680e2c054
2018-04
1
genkryptik
train
[ 0.13407649099826813, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13407649 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
-1
24c4d807b1a0c9fe5d3f3dfbb31d794a942e75ad7d19930baf93cfd607e687ee
2018-04
-1
vtflooder
train
[ 0.04268116503953934, 0.0032532967161387205, 0.0016089577693492174, 0.0011445801937952638, 0.00319005292840302, 0.0007261980790644884, 0.0009663476375862956, 0.0015355419600382447, 0.0032895624171942472, 0.002460758900269866, 0.0009048728970810771, 0.000892931770067662, 0.0016107268165796995,...
0.042681165 0.0032532967 0.0016089578 0.0011445802 0.003190053 0.0007261981 0.00096634764 0.001535542 0.0032895624 0.002460759 0.0009048729 0.00089293177 0.0016107268 0.00047189608 0.00035336925 0.0011949984 0.0029914763 0.0008814329 0.0014028626 0.0007660019 0.0009641363 0.0013723463 0.0003104696 0.0007575989 0.000735...
1
a819f487a5f7a746cd98cd5d7998a7b91a8eefafacd08d6d5945604eef142c53
2018-04
1
fareit
train
[ 0.013202357105910778, 0.004216606728732586, 0.003881138050928712, 0.0040017529390752316, 0.00391848711296916, 0.0038993312045931816, 0.0037545550148934126, 0.0039887577295303345, 0.003935525193810463, 0.0037133553996682167, 0.003524491796270013, 0.0038573616184294224, 0.003925129305571318, ...
0.013202357 0.0042166067 0.003881138 0.004001753 0.003918487 0.0038993312 0.003754555 0.0039887577 0.003935525 0.0037133554 0.0035244918 0.0038573616 0.0039251293 0.003707291 0.0037387684 0.0043021827 0.0037619672 0.0036236404 0.0036474168 0.0036997828 0.0037276982 0.0037094087 0.0036655138 0.003962671 0.0037791017 0.0...
-1
a87065ec25db56a30df6f79ce4865939397c4c09e4c829d4adac27c3378c6a10
2018-04
-1
nan
train
[ 0.0665324330329895, 0.014105292968451977, 0.011471866630017757, 0.005727703683078289, 0.0060733407735824585, 0.004273832309991121, 0.00586486142128706, 0.004043407738208771, 0.004218969494104385, 0.004410990048199892, 0.006248902529478073, 0.003533181268721819, 0.003308242652565241, 0.0034...
0.06653243 0.014105293 0.011471867 0.0057277037 0.006073341 0.0042738323 0.0058648614 0.0040434077 0.0042189695 0.00441099 0.0062489025 0.0035331813 0.0033082427 0.0034454004 0.004032435 0.0031655987 0.003352133 0.004657874 0.0047456548 0.0043286956 0.0031601123 0.0037855513 0.0034618592 0.0033082427 0.0033960235 0.003...
-1
67f9c63e14bcbd950159c75c1143add61b9977ac847a2f40f7524889385ba88c
2018-04
-1
msilperseus
train
[ 0.17967671155929565, 0.012706009671092033, 0.007490856572985649, 0.00852485653012991, 0.011071477085351944, 0.004086332395672798, 0.003964419476687908, 0.003797353943809867, 0.01359552051872015, 0.0022034586872905493, 0.0025330744683742523, 0.002632410731166601, 0.007757258135825396, 0.002...
0.17967671 0.01270601 0.0074908566 0.0085248565 0.011071477 0.0040863324 0.0039644195 0.003797354 0.0135955205 0.0022034587 0.0025330745 0.0026324107 0.007757258 0.0021899128 0.0016255024 0.016805887 0.008822866 0.0016300177 0.0018828735 0.0013320089 0.0040727863 0.0036754413 0.0010972141 0.00073599134 0.002907843 0.00...
-1
e0da0487881f928b23fd748190cc52a0fe74ba4c40fef98b0938c21e6be164f4
2018-04
-1
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.002249949 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 0...
1
9ebd068d30b69d3d90d13cde31cc9f878e487ca429e314e462ae19e8b539b38b
2018-04
1
vtflooder
train
[ 0.2974710762500763, 0.005497685167938471, 0.0159230325371027, 0.007398726884275675, 0.008000578731298447, 0.002957175951451063, 0.003506944514811039, 0.003958333283662796, 0.004597800783813, 0.001678240718320012, 0.00170428236015141, 0.0013744212919846177, 0.0018749999580904841, 0.00065393...
0.29747108 0.005497685 0.015923033 0.007398727 0.008000579 0.002957176 0.0035069445 0.0039583333 0.004597801 0.0016782407 0.0017042824 0.0013744213 0.001875 0.0006539352 0.000853588 0.0019328704 0.0033622684 0.00057002314 0.0005497685 0.0003096065 0.00094907405 0.0006857639 0.00044849538 0.00024016204 0.00109375 0.0003...
-1
2a1334d85cea6f6e5b0149edf29731b65634b4d77ecb9ecbc2446d9abaf3b3fd
2018-04
-1
nan
train
[ 0.025450602173805237, 0.0062248725444078445, 0.005348511505872011, 0.005402719601988792, 0.005899624899029732, 0.005095541477203369, 0.00458056665956974, 0.00458056665956974, 0.0051949224434792995, 0.00458056665956974, 0.004454081412404776, 0.004589600954204798, 0.004643809050321579, 0.004...
0.025450602 0.0062248725 0.0053485115 0.0054027196 0.005899625 0.0050955415 0.0045805667 0.0045805667 0.0051949224 0.0045805667 0.0044540814 0.004589601 0.004643809 0.004517324 0.0047070514 0.0042733885 0.0047612595 0.003794552 0.0037674482 0.003640963 0.005140715 0.003975245 0.0040655914 0.0035506166 0.0043998733 0.00...
0
099aa422e60c890dc939a17e0482a0c7f3bf422d32dae38e73f02a2685e958f9
2018-04
0
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
de2a13255bd15855463607add736c4454823b593d92e1c9c4de9df9e8947fd51
2018-04
1
vtflooder
train
[ 0.18103274703025818, 0.020975878462195396, 0.011487663723528385, 0.010432908311486244, 0.01062093023210764, 0.016181325539946556, 0.006021278444677591, 0.0026185454335063696, 0.007470421027392149, 0.0020384297240525484, 0.0023204623721539974, 0.001781619735993445, 0.0021782994735985994, 0....
0.18103275 0.020975878 0.011487664 0.010432908 0.01062093 0.016181326 0.0060212784 0.0026185454 0.007470421 0.0020384297 0.0023204624 0.0017816197 0.0021782995 0.006083188 0.0015477391 0.016683482 0.008199578 0.0020017426 0.0013482528 0.0014629001 0.0018091351 0.008080345 0.0010616344 0.0013138585 0.0035540676 0.001384...
-1
8d8895cac643b19038afb2f87854126ed89ec93e2f466e0713c2de2553d18fe6
2018-04
-1
nan
train
[ 0.03128426522016525, 0.003991760779172182, 0.0037080112379044294, 0.0038323705084621906, 0.0037780727725476027, 0.003855140646919608, 0.003452286357060075, 0.003983003087341785, 0.004056567791849375, 0.003408497665077448, 0.0035433664452284575, 0.003825364401564002, 0.003580148797482252, 0...
0.031284265 0.003991761 0.0037080112 0.0038323705 0.0037780728 0.0038551406 0.0034522864 0.003983003 0.004056568 0.0034084977 0.0035433664 0.0038253644 0.0035801488 0.0037745698 0.003685241 0.004300032 0.0038691529 0.003651962 0.0034295162 0.0034750563 0.0036344465 0.0035661364 0.0037342843 0.0037447936 0.0034855655 0....
-1
8dde68f7e5394cb43c2ed8d0d06f5473776f483b578dc8a4b0262d659c5ede26
2018-04
-1
nan
train
[ 0.009496009908616543, 0.0038664990570396185, 0.0037292372435331345, 0.003781870473176241, 0.0038644238375127316, 0.0036861493717879057, 0.003700600005686283, 0.003695544321089983, 0.0038601981941610575, 0.0036566446069628, 0.0036312900483608246, 0.003650343744084239, 0.003946185111999512, ...
0.00949601 0.003866499 0.0037292372 0.0037818705 0.0038644238 0.0036861494 0.0037006 0.0036955443 0.0038601982 0.0036566446 0.00363129 0.0036503437 0.003946185 0.003999762 0.0038618206 0.0039219623 0.003983915 0.0037656466 0.003734859 0.0037212006 0.0037977549 0.0037867755 0.0037287844 0.0036959592 0.0037547804 0.00371...
0
c69d945e27a0fdf932b60ba5acbaa86d90908df648c2626d9d52bd9a143e05e4
2018-04
0
nan
train
[ 0.08647524565458298, 0.006824613083153963, 0.005106491502374411, 0.004037320148199797, 0.005207557696849108, 0.003446881892159581, 0.0036756100598722696, 0.0032341114711016417, 0.005452243611216545, 0.0036170983221381903, 0.003521351609379053, 0.0033458159305155277, 0.0037926340010017157, ...
0.086475246 0.006824613 0.0051064915 0.00403732 0.0052075577 0.003446882 0.00367561 0.0032341115 0.0054522436 0.0036170983 0.0035213516 0.003345816 0.003792634 0.0032979425 0.0031702803 0.00432456 0.004239452 0.0033777314 0.0031383648 0.0028724016 0.0033830507 0.0045852037 0.0029362326 0.002840486 0.0035160324 0.002787...
0
b40990484d4dc4af03f2af7231adc9d13e94cb21a4dc47dde613623b525ad800
2018-04
0
nan
train
[ 0.08668548613786697, 0.008006478659808636, 0.005647256039083004, 0.006110598798841238, 0.007358223665505648, 0.003955416847020388, 0.0038789017125964165, 0.003800261067226529, 0.008378427475690842, 0.0031094977166503668, 0.003222145140171051, 0.0033432946074754, 0.005781157873570919, 0.003...
0.086685486 0.008006479 0.005647256 0.006110599 0.0073582237 0.003955417 0.0038789017 0.003800261 0.0083784275 0.0031094977 0.0032221451 0.0033432946 0.005781158 0.0030882433 0.002752426 0.0100171305 0.006208368 0.0028289414 0.0028757008 0.002726921 0.0039766715 0.003715244 0.0026525313 0.002312463 0.003504827 0.002695...
0
6f3d826340ddd7812053ec845f0e77e792f2672e39c32ef00ec7b6792a29f1c0
2018-04
0
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.0057271426 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056...
-1
9cfe4928f49817925ceef207bb3ee1c632ab8fcb1b2036658e81d3206c25eba8
2018-04
-1
vtflooder
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
5163f2032a96894fd51d0ead05384154a59bdfdb98cdbea9844db601d5c3e630
2018-04
1
vtflooder
train
[ 0.1807515174150467, 0.012741776183247566, 0.0074951620772480965, 0.008562655188143253, 0.011120094917714596, 0.004101898055523634, 0.003979249857366085, 0.0037657511420547962, 0.01370024774223566, 0.0022122084628790617, 0.002543812617659569, 0.0026210355572402477, 0.007767713628709316, 0.0...
0.18075152 0.012741776 0.007495162 0.008562655 0.011120095 0.004101898 0.00397925 0.0037657511 0.013700248 0.0022122085 0.0025438126 0.0026210356 0.0077677136 0.0021804108 0.0015944254 0.016893642 0.008844292 0.0016125955 0.0018715193 0.0013264166 0.0040973555 0.0036749009 0.0010765778 0.0007222611 0.0029162995 0.00135...
0
2cba5ce83e81fdd5dae7d3e1066d0a1800013c45f600c9bc3ed153eb7b9dc507
2018-04
0
nan
train
[ 0.26829561591148376, 0.006628462113440037, 0.0035311896353960037, 0.003770592389628291, 0.005132195074111223, 0.002453877590596676, 0.0017955201910808682, 0.0017655948176980019, 0.006194544490426779, 0.001301752170547843, 0.0013167147990316153, 0.001152125420048833, 0.0038005176465958357, ...
0.26829562 0.006628462 0.0035311896 0.0037705924 0.005132195 0.0024538776 0.0017955202 0.0017655948 0.0061945445 0.0013017522 0.0013167148 0.0011521254 0.0038005176 0.0016159682 0.0010324242 0.004907755 0.0030224589 0.0011670882 0.0007331707 0.0008229467 0.0023042508 0.0048030163 0.0004339174 0.0003291787 0.0015710802 ...
1
82d595680d9547763f020c8553d2bf3b4a32368f0bb6988463ef37eb9909982a
2018-04
1
dotdo
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
82b26309bba716c917e4d5aab5ee75ac3a832d6e2b28b438475656958f24ce57
2018-04
1
vtflooder
train
[ 0.30026423931121826, 0.008386948145925999, 0.004078584723174572, 0.007123161572962999, 0.008157169446349144, 0.0021254594903439283, 0.0010914521990343928, 0.0014361212961375713, 0.007525275927037001, 0.001263786805793643, 0.002642463194206357, 0.0006893382524140179, 0.007869944907724857, 0...
0.30026424 0.008386948 0.0040785847 0.0071231616 0.008157169 0.0021254595 0.0010914522 0.0014361213 0.007525276 0.0012637868 0.0026424632 0.00068933825 0.007869945 0.0022977942 0.0008616728 0.004250919 0.03469669 0.0018956801 0.0005170037 0.0007467831 0.0052849264 0.008501838 0.00080422795 0.00022977941 0.0037339155 0....
-1
a7e2ea3c225bb11570a035a04e785fb3acb3c975e1e52e451d8ffe07fa1f35a2
2018-04
-1
nan
train
[ 0.03324192762374878, 0.004367584362626076, 0.003884692443534732, 0.0041649420745670795, 0.004238238092511892, 0.0036906732711941004, 0.0039364309050142765, 0.003828642424196005, 0.004091646056622267, 0.004186499863862991, 0.003970922902226448, 0.00406146515160799, 0.003763969289138913, 0.0...
0.033241928 0.0043675844 0.0038846924 0.004164942 0.004238238 0.0036906733 0.003936431 0.0038286424 0.004091646 0.0041865 0.003970923 0.004061465 0.0037639693 0.0037682808 0.0037596577 0.0035052772 0.0039752345 0.003785527 0.0035354581 0.0036648042 0.0037079195 0.003647558 0.0035570157 0.0038674462 0.003656181 0.004126...
0
62ee7b6b54b66ea1e834187f7e2e60149a43a82701249ed041fe505cb1cd70cc
2018-04
0
nan
train
[ 0.14112244546413422, 0.023877551779150963, 0.01081632636487484, 0.017193878069519997, 0.01596938818693161, 0.008214285597205162, 0.020867347717285156, 0.0053571430034935474, 0.004642857238650322, 0.007704081479460001, 0.007397959008812904, 0.004795918241143227, 0.0024489795323461294, 0.007...
0.14112245 0.023877552 0.010816326 0.017193878 0.015969388 0.008214286 0.020867348 0.005357143 0.0046428572 0.0077040815 0.007397959 0.0047959182 0.0024489795 0.0071938774 0.0035714286 0.0028571428 0.0034183674 0.0029081632 0.0018877551 0.011428571 0.0029081632 0.003010204 0.0035204082 0.0026530612 0.0022959183 0.00198...
-1
52fb8fcc4a15fbd92737071ecc9078a0bb034813d7743f2b1df7053897ec1d5a
2018-04
-1
nan
train
[ 0.1189931333065033, 0.01248670183122158, 0.007418252527713776, 0.005404673051089048, 0.01281288918107748, 0.005168814677745104, 0.007044391706585884, 0.00424796249717474, 0.012957164086401463, 0.0013499136548489332, 0.009735437110066414, 0.010848237201571465, 0.007104610558599234, 0.001329...
0.11899313 0.012486702 0.0074182525 0.005404673 0.012812889 0.0051688147 0.0070443917 0.0042479625 0.012957164 0.0013499137 0.009735437 0.010848237 0.0071046106 0.0013298406 0.0017714481 0.004884028 0.038943004 0.0014314605 0.00071635755 0.0013122767 0.0031916176 0.007246377 0.00096978 0.0007740676 0.0034400218 0.00117...
-1
886d80e87ca421381f80a722e033517832b715bd6bfa04a1f5c34aaa04a96a79
2018-04
-1
nan
train
[ 0.015180131420493126, 0.002097237389534712, 0.0016711660427972674, 0.0013363957405090332, 0.0010687585454434156, 0.0007545757689513266, 0.000699079129844904, 0.0006471628439612687, 0.0010974020697176456, 0.0006704356637783349, 0.0006901280139572918, 0.0006158340838737786, 0.00096850655972957...
0.015180131 0.0020972374 0.001671166 0.0013363957 0.0010687585 0.00075457577 0.00069907913 0.00064716284 0.0010974021 0.00067043566 0.000690128 0.0006158341 0.00096850656 0.00079485564 0.00074741495 0.0013918924 0.001712341 0.00059703685 0.0008852615 0.0007321981 0.000698184 0.00072861766 0.0005334842 0.00059703685 0.0...
1
00ddb98123f938a18356d48db85285e1f728692d346aecb78af09d50a31e0e35
2018-04
1
adposhel
train