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865301513afdd28fe97a245a9381b7c57eb37b9676a78aa8b8000720cfebf0b1
2018-04
-1
vtflooder
train
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1
0b9ccdfc5dc445e6e2e4e1bd0ae6f23ea8d1560b8bcdd482408244cdfc5c3e05
2018-04
1
chapak
train
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-1
fce2e3a308415c5491c6a4fd7f4bcea2f20021ab301aebf107735576f71ff231
2018-04
-1
nan
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b3973faad170980769d30b70f2a893a14523074a2efcbae9b3fa5195b6b3aa63
2018-04
1
vtflooder
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1
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2018-04
1
ramnit
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-1
9970277abf5107547cae3ae7a6e2e8107d41ad1e6718fb5f928946607d8d7e88
2018-04
-1
byfh
train
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2018-04
0
nan
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2018-04
1
vtflooder
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1
beaaf4411314e66cac1deb70abc56f109fd3a8c0efaec3db385c7ad223b0f908
2018-04
1
autoit
train
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1
d1ce3a09c54cb5d7d63387b71dbd64b2d7cd89c2d53d93463b2b7f2f7cec9e74
2018-04
1
kuzitui
train
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1
61318cff8d7892f20f232ee4bbb74c06fd25b3631305386fcba1804625359585
2018-04
1
phpw
train
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1
12cf77008a102f8a22cf9ee48dd2e00c01ad95fbfa04184cfba5c1754b45cb9e
2018-04
1
zdengo
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-1
b98d4aeb87c17c3f6b1fcc302787861f376dd76afc2351bd13914eb4f0173df8
2018-04
-1
nan
train
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1
271476321b7769e175a2fc7c3516b369dcb9792ed654611387063932d6a8a9a4
2018-04
1
vtflooder
train
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1
908acf85a8c25224f25d294a3e59538097da0785ef2b71768da2a41ba8e2d0dd
2018-04
1
gandcrab
train
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1
05de17ba0bab360812c956ed45eda8234f5a3f59ab121b1f82b8a6a9aae2830a
2018-04
1
vtflooder
train
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0
b5efc58b09935a81b18db64a09aa53756b4f3548eeded02a9f95d1d8108909bf
2018-04
0
nan
train
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52dde26320f194dcca43df7370d1210f4e078f29eb60c67b20befb2505546454
2018-04
0
nan
train
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fd7ff612cafb656910640b5283925c73ae51cd106fcd33f53fd3aafae3c6324c
2018-04
1
adposhel
train
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4fe076474166ff737773bf642c6689c2ad64c30cc206852dc83a76d081121010
2018-04
0
nan
train
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0
edba20f86f68781fb6302e456a7d249904d8f0d3bd1fe3601fc51bc1ce933d53
2018-04
0
nan
train
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69d0b675b4133a51b7538f795debd43cbebcbfe15e57b9e86b8460fd43bd89c3
2018-04
0
nan
train
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-1
efa18118ad436de2e35d0aa4b774a70c96cbee98802cade0186fbd7929838987
2018-04
-1
zusy
train
[ 0.35683003067970276, 0.023378314450383186, 0.012902461923658848, 0.008226798847317696, 0.009943181648850441, 0.007102272938936949, 0.008937026374042034, 0.005918560549616814, 0.007930871099233627, 0.005859375, 0.016335226595401764, 0.002900094725191593, 0.002900094725191593, 0.003314394038...
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0
75c552ecd401d3b0595964aa8162bf0e999fe5d1c56e2f8582b643554b5c8ab9
2018-04
0
nan
train
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0.4135999 0.00442023 0.0030838817 0.0013877467 0.0033922698 0.002158717 0.0004111842 0.0006167763 0.0028782894 0.0010793585 0.0008223684 0.00046258225 0.002210115 0.0021073192 0.0007709704 0.0010279606 0.013414885 0.0006167763 0.00066817435 5.1398027e-05 0.0009251645 0.0020559211 0.00010279605 0.0002055921 0.0007709704...
0
5908c1e7455ac44fcbebdd4626491bb0601e0b1248714e07565cd6033648f904
2018-04
0
nan
train
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0.02217675 0.004137007 0.0038347503 0.0038358374 0.0040924298 0.0037934345 0.003954348 0.0038140924 0.0037086285 0.0037836493 0.0038358374 0.0037651658 0.0037934345 0.003646655 0.0038195287 0.003748857 0.0038717168 0.003952174 0.0038108306 0.0037118904 0.0038999855 0.0038771532 0.0038477972 0.003722763 0.0037173266 0.0...
0
67efd6f01e974ac9d84c0def24fa013de8c74d1e3587d11f3cc9004bdaad4f69
2018-04
0
nan
train
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0.03445454 0.0033726722 0.0026387149 0.0032260343 0.0037173864 0.0029772872 0.0027868883 0.0036068324 0.003724296 0.0029220101 0.0026701922 0.0031461895 0.0033926335 0.0032429246 0.0029220101 0.0055768476 0.0034264138 0.0032337117 0.0029934098 0.0029235457 0.0028713394 0.0032567438 0.002951952 0.003399543 0.0030732544 ...
-1
e2f60e7ae30f9c975457e01c5332eb087bbf0d8a3af1bdb929e624939e0a9757
2018-04
-1
vittalia
train
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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
6c07aa083f9e25c955636e23009b82300aed95cd35a2e9e93ea1e3a614dd22ec
2018-04
-1
vtflooder
train
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0.47524422 0.011008733 0.005643132 0.006364713 0.007826377 0.0041999705 0.007974393 0.0017391947 0.0045330077 0.0027383068 0.0019982238 0.0021462403 0.0036264062 0.0032563647 0.0014061575 0.0021832446 0.0119153345 0.001295145 0.00083259324 0.002534784 0.0021462403 0.0029048254 0.0015911782 0.0011656305 0.0021647424 0.0...
0
945476bce9ddb19883aff600cf98659844ef12079ad1d7711499b94e58096688
2018-04
0
nan
train
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0.015185502 0.0021142443 0.0017347187 0.0012683676 0.0010830803 0.0007080302 0.0007438345 0.00065879925 0.001146633 0.00064358243 0.00068475737 0.00072145683 0.0009362827 0.00077605835 0.0005871907 0.0011985492 0.0017275579 0.00064358243 0.0008942126 0.0006856525 0.0007492051 0.0007044498 0.0005925613 0.0005934564 0.00...
-1
2a053cbd191023e2eba8d863b4d77400d676c782b539b46fbad7f797d08aba40
2018-04
-1
adposhel
train
[ 0.26900753378868103, 0.025609545409679413, 0.009717278182506561, 0.009287302382290363, 0.009731057099997997, 0.005126744043081999, 0.004072902258485556, 0.004152561537921429, 0.011767324060201645, 0.00272121443413198, 0.004207308404147625, 0.00212804414331913, 0.0042810626327991486, 0.0029...
0.26900753 0.025609545 0.009717278 0.009287302 0.009731057 0.005126744 0.0040729023 0.0041525615 0.011767324 0.0027212144 0.0042073084 0.0021280441 0.0042810626 0.0029064303 0.0023552119 0.008986504 0.017058862 0.003131322 0.0017892917 0.0015712895 0.0016972682 0.0016758001 0.0010829988 0.0009997716 0.003988691 0.00112...
-1
c7f26b443cced6687f0dd97ccd694b6007fb1d5a5f8f95fd0e442c9d7f9c704c
2018-04
-1
nan
train
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0.19082968 0.017823566 0.006691038 0.005794099 0.005161576 0.006200804 0.0034143594 0.0033809473 0.010146298 0.0027783795 0.003318732 0.0028400188 0.0028054547 0.00378938 0.0015265822 0.009774734 0.007919793 0.0025491042 0.003647091 0.0035606807 0.002238603 0.0028688223 0.004231801 0.0033913166 0.0059041283 0.002666046...
0
cbcbc64b313d212dc55d3eb2eccd9cc55080df182c20ff3741769170747c97d2
2018-04
0
nan
train
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0.14120923 0.008565367 0.0060638203 0.004437373 0.0060373023 0.003208698 0.0032617343 0.0030407496 0.0064792717 0.0033589676 0.002961195 0.002819765 0.0038274552 0.0029081588 0.002616459 0.004596482 0.0045169275 0.0030142313 0.002802086 0.0023512773 0.0030407496 0.004967736 0.0024308318 0.0023954741 0.0030584284 0.0019...
0
98a5b5b9fbee86b1c048374e17c73f006ca6ae05dd8dd70e0002e4552835ad68
2018-04
0
nan
train
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0.20896919 0.012511238 0.011890553 0.0146242175 0.0139696235 0.0047759204 0.004668705 0.04806987 0.012346217 0.0047849626 0.0046502976 0.0048308196 0.012431473 0.0047684927 0.004648683 0.011648026 0.011677737 0.0045275814 0.0046716114 0.004724896 0.0046415785 0.0046496517 0.004948692 0.004544374 0.0047245733 0.00441681...
1
a1fecf2f41c3ab6f9004f353aafdfdc09c4e84ac3c55393fcababa6a4abf1880
2018-04
1
skintrim
train
[ 0.04144302010536194, 0.005222582723945379, 0.004331381991505623, 0.0042284950613975525, 0.005121145397424698, 0.003831439884379506, 0.004040111321955919, 0.0036633433774113655, 0.004700904246419668, 0.003758984385058284, 0.0036300139036029577, 0.0036531996447592974, 0.004144446924328804, 0...
0.04144302 0.0052225827 0.004331382 0.004228495 0.0051211454 0.00383144 0.0040401113 0.0036633434 0.0047009042 0.0037589844 0.003630014 0.0036531996 0.004144447 0.0036749362 0.0038183979 0.0049443543 0.004238639 0.003456121 0.0036068282 0.0036691397 0.003630014 0.003911141 0.0035285763 0.0035865407 0.0036068282 0.00352...
-1
78ad28f5364ed2f5ff175ad760403bcccb3e8bb68a6c6d083180663d8befe28b
2018-04
-1
nan
train
[ 0.16223035752773285, 0.0074993278831243515, 0.0039933896623551846, 0.003468781942501664, 0.006422687321901321, 0.00253811152651906, 0.0021355876233428717, 0.0018931888043880463, 0.0071268826723098755, 0.0017684506019577384, 0.0015225129900500178, 0.001283652731217444, 0.005043490324169397, ...
0.16223036 0.007499328 0.0039933897 0.003468782 0.0064226873 0.0025381115 0.0021355876 0.0018931888 0.0071268827 0.0017684506 0.001522513 0.0012836527 0.0050434903 0.0015340137 0.0010571778 0.0068614823 0.0046436205 0.0015030503 0.0011509527 0.0010492158 0.0025947301 0.0024584914 0.000928901 0.0006130747 0.0020692376 0...
1
9df539957a08e9a1e28acb6793336d5b95747c2e6bc3b4b80830d32cbcf90043
2018-04
1
nan
train
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0.345173 0.008426339 0.005106027 0.0021205358 0.0053850445 0.005887277 0.003013393 0.0015625 0.0039899554 0.0019252232 0.0043805805 0.0011160715 0.0014787946 0.002845982 0.0006696429 0.004827009 0.00390625 0.0046875 0.001422991 0.0011997768 0.002232143 0.00968192 0.0016462053 0.00086495536 0.0022879464 0.0012834822 0.0...
-1
0ff233c40fc09eaf805d218ed22d63f713a67b1a6e103c6c5ba2b5537a58273a
2018-04
-1
nan
train
[ 0.1793454885482788, 0.02428678795695305, 0.003252854570746422, 0.004935211502015591, 0.003543687518686056, 0.016425350680947304, 0.0027159322053194046, 0.002295343205332756, 0.0022729714401066303, 0.0022327022161334753, 0.0017942155245691538, 0.0015212800353765488, 0.0010559472721070051, 0...
0.17934549 0.024286788 0.0032528546 0.0049352115 0.0035436875 0.01642535 0.0027159322 0.0022953432 0.0022729714 0.0022327022 0.0017942155 0.00152128 0.0010559473 0.0028412142 0.0011454343 0.003928482 0.0017942155 0.0010962165 0.0008680245 0.0016510362 0.0010335755 0.0023937789 0.0010291012 0.0008635501 0.0014049469 0.0...
-1
2a558de637b74c6bf4f1111ba3969f0005782aa6bbaee750083a050c8a99a08e
2018-04
-1
nan
train
[ 0.2472979873418808, 0.011966031976044178, 0.005404014606028795, 0.00685151806101203, 0.010743695311248302, 0.004889346193522215, 0.008459855802357197, 0.003023674711585045, 0.005725681781768799, 0.0030558414291590452, 0.002187339123338461, 0.002509006764739752, 0.003441842505708337, 0.0029...
0.24729799 0.011966032 0.0054040146 0.006851518 0.010743695 0.004889346 0.008459856 0.0030236747 0.005725682 0.0030558414 0.0021873391 0.0025090068 0.0034418425 0.0029593413 0.0018656716 0.0025090068 0.022677561 0.0011580031 0.0010936696 0.0023160062 0.0021551724 0.0031845085 0.0012866701 0.0017048379 0.0022516726 0.00...
0
bf1a8894c5deafd5fcf5f113ab1a699c166d4b22776690ee4011b680b310b076
2018-04
0
nan
train
[ 0.16218778491020203, 0.007497523445636034, 0.003992429003119469, 0.003467947244644165, 0.006421141792088747, 0.002537500811740756, 0.0021350739989429712, 0.0018927332712337375, 0.007125168107450008, 0.0017680252203717828, 0.0015221467474475503, 0.001283343997783959, 0.005042276810854673, 0...
0.16218778 0.0074975234 0.003992429 0.0034679472 0.006421142 0.0025375008 0.002135074 0.0018927333 0.007125168 0.0017680252 0.0015221467 0.001283344 0.005042277 0.0015336446 0.0010569235 0.0068598315 0.0046425033 0.0015009198 0.0011524446 0.0010489634 0.002594106 0.0024579 0.00092867756 0.0006129272 0.0020687399 0.0008...
1
a6592f2ab68a14939bf0415000da5ed4135d3979f708718ac431dc41d2867dd0
2018-04
1
zusy
train
[ 0.19977866113185883, 0.009556759148836136, 0.005074906628578901, 0.004018168430775404, 0.008775413036346436, 0.002965272404253483, 0.0030997663270682096, 0.0016638828674331307, 0.011412776075303555, 0.0012693671742454171, 0.0019392753019928932, 0.0011848279973492026, 0.006263577379286289, ...
0.19977866 0.009556759 0.0050749066 0.0040181684 0.008775413 0.0029652724 0.0030997663 0.0016638829 0.011412776 0.0012693672 0.0019392753 0.001184828 0.0062635774 0.002406802 0.001038806 0.0041014263 0.005112053 0.0019815448 0.0007006497 0.000879975 0.0032406647 0.00434992 0.0010119072 0.00083002006 0.0024285773 0.0013...
-1
241a770d424d690d4a838b3c131db4c79b95a82b14af292d98ec656453f5084f
2018-04
-1
nan
train
[ 0.11983729898929596, 0.007546842563897371, 0.004536509048193693, 0.0036446587182581425, 0.006308010779321194, 0.003628393867984414, 0.0024098933208733797, 0.0021279710344970226, 0.007182240951806307, 0.001425876165740192, 0.0015004228334873915, 0.0012618732871487737, 0.0033708687406033278, ...
0.1198373 0.0075468426 0.004536509 0.0036446587 0.006308011 0.0036283939 0.0024098933 0.002127971 0.007182241 0.0014258762 0.0015004228 0.0012618733 0.0033708687 0.001401479 0.0011276891 0.014312977 0.0053307707 0.0012944028 0.0010775395 0.0008647424 0.0023339912 0.0015681926 0.0007603769 0.0007007395 0.0019870098 0.00...
-1
64a0428f5cff512d4b56f6c36e51a5855656367552149590f826af089f7a82ab
2018-04
-1
nan
train
[ 0.0341225303709507, 0.0049687218852341175, 0.004329835996031761, 0.004047211725264788, 0.0050093973986804485, 0.0037968468386679888, 0.0038901199586689472, 0.003766691079363227, 0.00510898232460022, 0.0035577029921114445, 0.0036018851678818464, 0.003505105385556817, 0.004637707490473986, 0...
0.03412253 0.004968722 0.004329836 0.0040472117 0.0050093974 0.0037968468 0.00389012 0.003766691 0.0051089823 0.003557703 0.0036018852 0.0035051054 0.0046377075 0.0037519636 0.0035247419 0.004641214 0.0047933967 0.0034581183 0.0034987938 0.0034903781 0.004029679 0.0035373652 0.0034749494 0.0035682225 0.0038810032 0.003...
0
8c853167cff13bba34c468c4a1e125aa9c8045167e500536c872ef95976ef9ba
2018-04
0
nan
train
[ 0.45928770303726196, 0.018022017553448677, 0.02023407816886902, 0.008678089827299118, 0.016853101551532745, 0.0054524741135537624, 0.004298354499042034, 0.0025301845744252205, 0.0038692590314894915, 0.00035511364694684744, 0.002663352293893695, 0.0006658380734734237, 0.00439453125, 0.00028...
0.4592877 0.018022018 0.020234078 0.00867809 0.016853102 0.005452474 0.0042983545 0.0025301846 0.003869259 0.00035511365 0.0026633523 0.0006658381 0.0043945312 0.00028852982 0.00061405066 0.0023452297 0.0029740767 0.003928445 0.0007694129 0.00075461646 0.0014500474 0.0036251184 0.000517874 0.00076201465 0.0012133049 0....
0
9d87e591bc767021b3dbef9a0665c3e5a3a3545bb82d6ffc31d495c5d9288a70
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
9b38011b803d74c827519416a888406fa87944b18abf8c372ae13e442195f562
2018-04
1
vtflooder
train
[ 0.04087007790803909, 0.005314891692250967, 0.004067787900567055, 0.004294214770197868, 0.005205188412219286, 0.0038606685120612383, 0.004188899882137775, 0.0039054271765053272, 0.004710208624601364, 0.003906304948031902, 0.0036921645514667034, 0.0037860702723264694, 0.004369690548628569, 0...
0.040870078 0.0053148917 0.004067788 0.004294215 0.0052051884 0.0038606685 0.0041889 0.0039054272 0.0047102086 0.003906305 0.0036921646 0.0037860703 0.0043696905 0.0037351681 0.0035543777 0.005033174 0.004099382 0.0035385804 0.0034543285 0.0035763183 0.003910693 0.00371235 0.0035850944 0.0033718317 0.0036711015 0.00340...
0
5b5b24ea3d9a63e1c1e06beb7f96362bd999d8638ae42dfaf6e5609a20c8fb55
2018-04
0
nan
train
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0.17715909 0.012590008 0.007476569 0.008433391 0.010978986 0.0040809605 0.0039786026 0.0037783375 0.013448924 0.0022251694 0.0025722957 0.0026034482 0.007725788 0.002207368 0.0016332743 0.016644267 0.008722664 0.0016911287 0.0019225463 0.001366254 0.004098762 0.0036448273 0.001143737 0.0007610079 0.0029416739 0.0014107...
0
35e3544ca229a32cdc80e9772ef471ff8370c7e785cb374878621644a33f6b8a
2018-04
0
nan
train
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-1
45cc8b1e5d2c6e3b7b90a9e33e3bb706cc09788b9511c872426774882c0f7503
2018-04
-1
nan
train
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0.43404385 0.010571925 0.005366201 0.0046773236 0.0075541707 0.0027281125 0.0016008579 0.004599042 0.0058828597 0.0017965619 0.0017574211 0.00083369866 0.0031899738 0.0025245803 0.001154653 0.0036635771 0.004919996 0.0015264904 0.0020118363 0.0011350827 0.0027241984 0.0021918837 0.0009354647 0.00077890157 0.0020118363 ...
-1
fac48351dddb1807f3c9ade605fc1ce212a40cd32e16521e733a4cd6936f66c7
2018-04
-1
presenoker
train
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0.50911456 0.01953125 0.008300781 0.0035807292 0.0068359375 0.0022786458 0.0043945312 0.0006510417 0.0017903646 0.00048828125 0.0053710938 0.00032552084 0.0016276041 0.0022786458 0.001953125 0.00032552084 0.0026041667 0.0011393229 0.00081380206 0.00032552084 0.0006510417 0.00032552084 0.0009765625 0.00048828125 0.00211...
-1
c22cc77390fc14165afdd506382423b3c851ea86040b492dc1e9d2f22e54d4c7
2018-04
-1
nan
train
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0.18853429 0.010807958 0.008051383 0.0050673676 0.010212066 0.0038391906 0.003229651 0.0031295773 0.010298492 0.0019832787 0.0024927447 0.0021333892 0.0075783078 0.0029203321 0.0015374958 0.011931513 0.008078676 0.0023790246 0.0016148255 0.0017103504 0.00388013 0.004062082 0.0019787299 0.0012509212 0.0031432237 0.00133...
1
4ad8ab71b81f7f85e280f708b3d987e1dd5b029afc21903920fb51bcd4c02bc2
2018-04
1
linkury
train
[ 0.28042805194854736, 0.03192545473575592, 0.013273111544549465, 0.00865071639418602, 0.013867187313735485, 0.004581705667078495, 0.05286458507180214, 0.0048828125, 0.0061442055739462376, 0.002872721292078495, 0.04254557192325592, 0.0020670571830123663, 0.001708984375, 0.0014892577892169356...
0.28042805 0.031925455 0.013273112 0.008650716 0.013867187 0.0045817057 0.052864585 0.0048828125 0.0061442056 0.0028727213 0.042545572 0.0020670572 0.0017089844 0.0014892578 0.0032796224 0.0013671875 0.0036865235 0.0062093097 0.007405599 0.0037841797 0.0022949218 0.0032552083 0.0041829427 0.0036376952 0.0019612631 0.00...
0
011519e1ac8178faa751bb2ae4e91363d019c94263fa81b7599af35c99d8f520
2018-04
0
nan
train
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0.34858382 0.01983173 0.014096468 0.014762751 0.012097617 0.0044026966 0.00834814 0.0031746447 0.018629808 0.0035535118 0.0051212376 0.0040238295 0.006140259 0.003422868 0.0026259406 0.0023515886 0.020628657 0.010412312 0.0016199832 0.004899143 0.005787521 0.0015938545 0.003422868 0.0016983695 0.0023777173 0.0051473663...
-1
24b00e6f0ee44118a31d7f2f65a91e80e8d7198ff94214f55ebe6f34a9f14e7a
2018-04
-1
nan
train
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0.37256023 0.019429961 0.0066586807 0.0043246197 0.0039370772 0.006535372 0.0035671506 0.0031003382 0.0035671506 0.0015677847 0.0016206313 0.0011714346 0.00087197014 0.0019641346 0.0014444757 0.0026247182 0.0028537204 0.001074549 0.0008015079 0.0013475902 0.00074866123 0.009882328 0.0007046223 0.00049323565 0.002360484...
0
978ee123ae367508701c05f6351a9d1fdb4535c63832ff405ae964de582b7a05
2018-04
0
nan
train
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0.18007602 0.012724558 0.0074845017 0.0085343225 0.011086474 0.004104258 0.00395493 0.0037829767 0.013638626 0.0022172949 0.0025657269 0.0026426534 0.0077695823 0.0022037197 0.0016471334 0.01686049 0.008837504 0.0016471334 0.0019005385 0.0013032263 0.0040725823 0.0036743744 0.0010769718 0.00073758996 0.002914159 0.0013...
0
38bae6222d81ed37e9b4c7f0e405fdf58ee7591fa4b7c8c6a0131ff7e03239a5
2018-04
0
nan
train
[ 0.10151910036802292, 0.016517167910933495, 0.009915123693645, 0.00717110326513648, 0.010570988059043884, 0.005787036847323179, 0.012085262686014175, 0.006100501399487257, 0.005189043004065752, 0.0038580247201025486, 0.011376350186765194, 0.0035638504195958376, 0.0030912423972040415, 0.0029...
0.1015191 0.016517168 0.009915124 0.0071711033 0.010570988 0.005787037 0.012085263 0.0061005014 0.005189043 0.0038580247 0.01137635 0.0035638504 0.0030912424 0.0029899692 0.0040750387 0.0025270062 0.0028211805 0.0071566356 0.0055025076 0.004701968 0.0026765047 0.003452932 0.004976852 0.0035204475 0.0033227238 0.0030237...
1
3be7471b7eff96fd5118f43a6d41d80b5104baf2e50f2dc499e0778f3fed5e64
2018-04
1
nanocore
train
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0.26171347 0.0144480495 0.01010559 0.005596979 0.006724611 0.003213391 0.0028566667 0.0033014948 0.01555174 0.0029696694 0.0032047722 0.0021398666 0.009180022 0.0016380585 0.001404871 0.006244829 0.0076008597 0.0015279289 0.001533196 0.0012377612 0.004609643 0.0012602659 0.0018702884 0.00083076046 0.0025899615 0.000818...
-1
ccc12fc08bb26d414ec3b00a1d56278b8b9f0a6a374e85e7d4c25e9dcce82955
2018-04
-1
nan
train
[ 0.1529180258512497, 0.012219127267599106, 0.010412736795842648, 0.00499114952981472, 0.007739425171166658, 0.003994854167103767, 0.003715552855283022, 0.004621165804564953, 0.007191704586148262, 0.0034048152156174183, 0.003936817403882742, 0.002547565847635269, 0.004803739488124847, 0.0031...
0.15291803 0.012219127 0.010412737 0.0049911495 0.007739425 0.003994854 0.0037155529 0.004621166 0.0071917046 0.0034048152 0.0039368174 0.0025475658 0.0048037395 0.0031315594 0.002273101 0.004530484 0.00893643 0.0029417311 0.002699912 0.0021642824 0.0028196126 0.0026733119 0.0019200449 0.001895863 0.0023589467 0.001745...
1
197e13a14c8e05de0b424b4cdad7529051c5217b59b134d56010b1545f20458e
2018-04
1
tweakbit
train
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0.36819047 0.01377745 0.009079392 0.0023754223 0.004592483 0.0036951012 0.004539696 0.0018475506 0.002217061 0.0013196791 0.0057538007 0.0010029561 0.0012668918 0.0014780406 0.0024809965 0.0015308277 0.0012141047 0.001953125 0.002269848 0.0008445946 0.0013196791 0.0005806588 0.0014780406 0.00089738175 0.0013724662 0.00...
-1
7f31f5a0ec679daf0a8489191fa6067299d7b6aa96f16c26582aa530d5dcbf2f
2018-04
-1
dotdo
train
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0.14871652 0.015066965 0.01171875 0.011160715 0.010602678 0.0069754464 0.008649553 0.0047433036 0.010881697 0.0055803573 0.004603795 0.005859375 0.0066964286 0.0043247766 0.003627232 0.007254464 0.01032366 0.00516183 0.00390625 0.0030691964 0.0062779016 0.0037667411 0.0037667411 0.001813616 0.0027901786 0.001813616 0.0...
-1
f8c0f64289f0110b3466d30c2d2179c3182830638e0b8fddd731cbde225791da
2018-04
-1
vtflooder
train
[ 0.6138916015625, 0.0087890625, 0.00439453125, 0.0032958984375, 0.008056640625, 0.0015869140625, 0.0013427734375, 0.0006103515625, 0.00244140625, 0.0001220703125, 0.00048828125, 0.0006103515625, 0.0030517578125, 0.0020751953125, 0.00146484375, 0.0025634765625, 0.0029296875, 0.000122...
0.6138916 0.0087890625 0.0043945312 0.0032958984 0.008056641 0.0015869141 0.0013427734 0.00061035156 0.0024414062 0.00012207031 0.00048828125 0.00061035156 0.0030517578 0.0020751953 0.0014648438 0.0025634766 0.0029296875 0.00012207031 0.0007324219 0.00061035156 0.0017089844 0.0012207031 0.00036621094 0.0010986328 0.001...
-1
743b3347dc86b4a4aa6510648076eeca9eec0ff23c1294b3931263c990bcb5e6
2018-04
-1
agentb
train
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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
7dc91d707e10613341d077537a9223a9682f1305bd10806e5988eb4e1b0a328f
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
a6ef1d030f3dd27799340478d860b5eabd009f9f4cbf182bc2d2fee825ebc0ca
2018-04
-1
vtflooder
train
[ 0.20804396271705627, 0.023487454280257225, 0.010033556260168552, 0.008422511629760265, 0.011369138024747372, 0.011828244663774967, 0.00952436588704586, 0.0036582413595169783, 0.009334462694823742, 0.002429089043289423, 0.0026815973687916994, 0.0018677273765206337, 0.0025376048870384693, 0....
0.20804396 0.023487454 0.010033556 0.008422512 0.011369138 0.011828245 0.009524366 0.0036582414 0.009334463 0.002429089 0.0026815974 0.0018677274 0.002537605 0.0023790046 0.001437837 0.008783536 0.0070118033 0.0015171372 0.0011623733 0.0011915892 0.0021139751 0.0046557537 0.0009432545 0.0014712266 0.004098566 0.0026815...
0
316c4038683f326894b9b06eb5b3db6c94516b44da80817e96ce4dda8f151e6f
2018-04
0
nan
train
[ 0.16491848230361938, 0.011978127993643284, 0.007159578613936901, 0.008123288862407207, 0.010468454100191593, 0.004024419467896223, 0.003995466977357864, 0.0037886621430516243, 0.012743305414915085, 0.002295532263815403, 0.0026636444963514805, 0.002775319153442979, 0.0073705194517970085, 0....
0.16491848 0.011978128 0.0071595786 0.008123289 0.010468454 0.0040244195 0.003995467 0.0037886621 0.012743305 0.0022955323 0.0026636445 0.0027753192 0.0073705195 0.0023534375 0.0018322896 0.01570475 0.008421088 0.0017867927 0.002026686 0.0015096744 0.004049236 0.003689396 0.0013276861 0.0009761182 0.0030276207 0.001571...
0
d7380f1a30c2e367032f31f84e6b3254f4760c8c9e52d7f4ebafe9738af7b8bf
2018-04
0
nan
train
[ 0.21309876441955566, 0.013098088093101978, 0.008282779715955257, 0.009025327861309052, 0.01451005320996046, 0.004325902089476585, 0.0032728344667702913, 0.0031603272072970867, 0.01236791629344225, 0.002394153270870447, 0.0025381625164300203, 0.0031085738446563482, 0.009152460843324661, 0.0...
0.21309876 0.013098088 0.00828278 0.009025328 0.014510053 0.004325902 0.0032728345 0.0031603272 0.012367916 0.0023941533 0.0025381625 0.0031085738 0.009152461 0.0025854155 0.0018766201 0.007018199 0.00836491 0.0019103723 0.0010586928 0.0015762259 0.0053800945 0.0031344506 0.0020566317 0.0010980703 0.0042347712 0.001605...
1
043e1331d3535c85855ba2519606e0ae5b506dd70ddfefc8658d505f5d86da64
2018-04
1
ursu
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
ca6f4e5dc6e776e859bb1dd5f6cc0306b0df856a22a04b7cdf556f620354330a
2018-04
1
vtflooder
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003784004831686616, 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 0.0037840048 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 0.0016363264...
1
680fbffdfb1ed785b511b86a4746732ab9504d59624350c35af04d8a4d64fef1
2018-04
1
vtflooder
train
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0
901d99c2ce8835dd15f248dc9d03c20543afd20c66413fcfcc243dc642fed2d4
2018-04
0
nan
train
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1
a654429d4225a68e8bb70f9be6a3d08580663a411ea94d2d88fbcbad7eb37dd7
2018-04
1
purityscan
train
[ 0.017737241461873055, 0.00439063785597682, 0.003812735201790929, 0.004283994901925325, 0.004063599742949009, 0.003830001223832369, 0.0038868773262947798, 0.0038777366280555725, 0.004553141072392464, 0.0038645330350846052, 0.003895002417266369, 0.003823907347396016, 0.0038817990571260452, 0...
0.017737241 0.004390638 0.0038127352 0.004283995 0.0040635997 0.0038300012 0.0038868773 0.0038777366 0.004553141 0.003864533 0.0038950024 0.0038239073 0.003881799 0.0039711758 0.003810704 0.0039620353 0.0038696113 0.0037284365 0.0038300012 0.0038228917 0.0038350795 0.0039843796 0.0036705448 0.0039518788 0.0037639842 0....
-1
13058712b72af35a4de7c77d92954328bfd842d12168e3804e0a26d8bd703119
2018-04
-1
nan
train
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0.22659267 0.015662273 0.0072001517 0.0070208847 0.005381566 0.007981118 0.0038199888 0.003494823 0.008649909 0.0027880487 0.0036492413 0.002941402 0.0028011831 0.0037273378 0.0020606853 0.012145797 0.00895342 0.002324439 0.0020628152 0.0020954737 0.00217996 0.004038304 0.0023144993 0.001285754 0.004268689 0.0028530108...
0
c87af4223d8ed2e8c53d96732fd6c4fd17c5d660c99a521aa638ce4eacea76dd
2018-04
0
nan
train
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0.040273294 0.007596287 0.006421529 0.0050810077 0.004799931 0.0042738123 0.005571091 0.0050521796 0.004100842 0.004763895 0.006075588 0.003690037 0.0042377766 0.0035386877 0.004389126 0.0044972324 0.003351303 0.003488238 0.004518854 0.0042449837 0.0035026523 0.0034233741 0.0027386993 0.003344096 0.004324262 0.00411525...
0
0d4c0757d070c4e047978f243914da54148f5e316db2c6bc275efff4652448aa
2018-04
0
nan
train
[ 0.1614738404750824, 0.0232049860060215, 0.00936259888112545, 0.0049913194961845875, 0.00829303078353405, 0.00438678078353405, 0.0023716518189758062, 0.0024801588151603937, 0.013005332089960575, 0.0024026536848396063, 0.0020693824626505375, 0.0013408358208835125, 0.008138020522892475, 0.002...
0.16147384 0.023204986 0.009362599 0.0049913195 0.008293031 0.004386781 0.0023716518 0.0024801588 0.013005332 0.0024026537 0.0020693825 0.0013408358 0.0081380205 0.0023794023 0.00093781 0.011385479 0.024003286 0.0015113468 0.0016198537 0.0007207961 0.0038054935 0.003875248 0.000984313 0.00052703376 0.0025731646 0.00101...
1
68826ea5123967275721312528fa0d73d811a7fdec0554605cdb5db80181e82d
2018-04
1
opesup
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
d86828fae8c204aef3b06251cd5492d0fe9a5830b907eb18dcfc748fe14c516c
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
77885466e8edd88abe9e2a485d674dbce4c6fb18648c23baa6dfdaff45c5344a
2018-04
1
vtflooder
train
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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
84b70782c3d60666c72e314cb8ba266105b1fcd63663cbe8d2dbd5da305c6243
2018-04
-1
vtflooder
train
[ 0.19277715682983398, 0.013510224409401417, 0.006033523473888636, 0.007302823942154646, 0.010849909856915474, 0.0039991652593016624, 0.008554736152291298, 0.0032514953054487705, 0.008711225353181362, 0.0031297816894948483, 0.0024864375591278076, 0.002747252816334367, 0.005338016431778669, 0...
0.19277716 0.013510224 0.0060335235 0.007302824 0.01084991 0.0039991653 0.008554736 0.0032514953 0.008711225 0.0031297817 0.0024864376 0.0027472528 0.0053380164 0.0030776185 0.0026950897 0.0033732092 0.02693351 0.0014257894 0.0013736264 0.0029906803 0.0035644735 0.005668382 0.0015648908 0.0015648908 0.0039991653 0.0009...
0
de01edc4aea4e2c05381bcebf55c53af470bcd9a75531886b59fccf1b6c45bd4
2018-04
0
nan
train
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0.18143179 0.0127783 0.007520134 0.008559911 0.01115023 0.0040815766 0.0039675664 0.0037760285 0.013726867 0.0022026834 0.0025264733 0.0026040005 0.0077709574 0.0021798813 0.0015870265 0.016955646 0.008874579 0.0016189495 0.0018697726 0.0012951596 0.004095258 0.0036756992 0.0010488968 0.0007023048 0.0029186695 0.001327...
0
2142b7b7768409e3699fae6db525d05fa6ed478329e609bb022b98ff871e8ab2
2018-04
0
nan
train
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0.04267962 0.0032531787 0.0020392071 0.0011445387 0.0027600718 0.00072617177 0.0018269279 0.0015359285 0.0032894432 0.0007398815 0.0021953208 0.001323207 0.0020409762 0.0009021866 0.002074587 0.001194955 0.0021311948 0.0004510933 0.0005426387 0.0003356665 0.0022550244 0.0005116813 0.0007412082 0.0007575714 0.001595632 ...
1
452f654ecc7d572b0c4a54ade77c8fac002d4050e3be72af7d402b60f6b16d21
2018-04
1
fareit
train
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0.13397422 0.014113315 0.011352015 0.012886071 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0038862752 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.00153405...
1
5edc6765594bd9136043c8d47800f0cc193b35e806974674eb4811de991bda10
2018-04
1
vtflooder
train
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0.06324739 0.0079658115 0.004599346 0.004896387 0.0077262623 0.0046632257 0.005145518 0.0036124028 0.008665295 0.0036155968 0.0033760476 0.0040148455 0.0059983134 0.003899862 0.0032387062 0.004283141 0.0050081764 0.0030087389 0.0027340555 0.0033952117 0.0038679221 0.0033984056 0.0030630366 0.002932083 0.0036347609 0.00...
0
46b52b2fd4e6c17bf7249f572c18ca28b5fc7da8b12cfa008548fbcbdf673a17
2018-04
0
nan
train
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0.17795981 0.01260027 0.007453744 0.0085000405 0.011039768 0.004042102 0.0039705606 0.0037648785 0.0135034835 0.0022043765 0.002539728 0.0026425691 0.007757796 0.0021864912 0.0016096868 0.016682614 0.008741493 0.0016588717 0.0019584522 0.0013905904 0.0041047013 0.0036620374 0.001131252 0.0008495569 0.0029019075 0.00136...
0
a9f82bcfe495627600bc1109afe07e1051887d609c644a82aec56ae141b28f3e
2018-04
0
nan
train
[ 0.15145887434482574, 0.008321530185639858, 0.005773447919636965, 0.006263012532144785, 0.007888494059443474, 0.0038695859257131815, 0.003917582333087921, 0.006874168291687965, 0.013135047629475594, 0.007232542149722576, 0.005280683748424053, 0.002196107292547822, 0.006643784698098898, 0.00...
0.15145887 0.00832153 0.005773448 0.0062630125 0.007888494 0.003869586 0.0039175823 0.0068741683 0.013135048 0.007232542 0.0052806837 0.0021961073 0.0066437847 0.0034685484 0.0019006621 0.007966355 0.017460067 0.0017182754 0.0017844039 0.0016585464 0.004186363 0.0030888426 0.0018995956 0.0014761596 0.0033778884 0.00161...
0
1a1b9f750d57bbc7fcfc2b611b81a0c73b83264a8a815393c0e67ce3ec5abc63
2018-04
0
nan
train
[ 0.15360991656780243, 0.035699546337127686, 0.01884886436164379, 0.01164234895259142, 0.01343875378370285, 0.009260202758014202, 0.0066240387968719006, 0.007301853504031897, 0.01525083091109991, 0.004881179891526699, 0.0047440496273338795, 0.003327038371935487, 0.012808607891201973, 0.00272...
0.15360992 0.035699546 0.018848864 0.011642349 0.013438754 0.009260203 0.006624039 0.0073018535 0.015250831 0.00488118 0.0047440496 0.0033270384 0.012808608 0.0027210538 0.00200863 0.006016748 0.006035032 0.001991652 0.0015933217 0.0024644246 0.006940744 0.0023847586 0.0023481904 0.0016553567 0.0031148132 0.0025199295 ...
0
3d2e9603935b5f5901a9111d8959f4875f0ee0463fb7c49265ae7ae3262cd377
2018-04
0
nan
train
[ 0.19514186680316925, 0.017755594104528427, 0.007892517372965813, 0.005982374306768179, 0.006608376745134592, 0.006143052596598864, 0.004495135974138975, 0.0031235860660672188, 0.014919944107532501, 0.0033652461133897305, 0.009082822129130363, 0.0017546069575473666, 0.0018021677387878299, 0...
0.19514187 0.017755594 0.007892517 0.0059823743 0.0066083767 0.0061430526 0.004495136 0.003123586 0.014919944 0.003365246 0.009082822 0.001754607 0.0018021677 0.0022713484 0.0011260335 0.008332133 0.006991434 0.0017828863 0.0010489079 0.0009897783 0.0014705277 0.0025194357 0.00094350294 0.00089080044 0.0036724631 0.002...
0
8dc8cc3c846976deb8b72ee3458fd1b468bac6b674fc5ba847340280074b184e
2018-04
0
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, 0.001953125, 0, 0.00244140625, 0.001220703125, 0.00146484375, 0.0004...
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 0.001953125 0.0 0.0024414062 0.0012207031 0.0014648438 0.00048828125 0.00048828125 0.0012207031 0.0009765625 0.00024414062 0.00024414062 0.0012207031...
0
9f0c1e8b515237de85f334134bbf6c6ee282e0daac2e1404df0452e06eb6bfc1
2018-04
0
nan
train
[ 0.2122247815132141, 0.008034446276724339, 0.0054598720744252205, 0.0016645952127873898, 0.008167613297700882, 0.0010431463597342372, 0.0010875355219468474, 0.0011319246841594577, 0.010786577127873898, 0.0015314276097342372, 0.0023526279255747795, 0.0006436434923671186, 0.009521484375, 0.00...
0.21222478 0.008034446 0.005459872 0.0016645952 0.008167613 0.0010431464 0.0010875355 0.0011319247 0.010786577 0.0015314276 0.002352628 0.0006436435 0.009521484 0.0025301846 0.00044389206 0.007945668 0.0043723364 0.0007324219 0.00053267047 0.00044389206 0.002175071 0.007923473 0.00057705963 0.00044389206 0.0021306819 0...
1
19c7da6aa2d2b141b6114f5a27a2e2017b8f7d16ca15dd7806f685b5393bdadb
2018-04
1
zonidel
train
[ 0.04119166359305382, 0.005358394701033831, 0.004102437756955624, 0.004329023417085409, 0.005249527283012867, 0.0038935544434934855, 0.004224581643939018, 0.003937809262424707, 0.0047494457103312016, 0.0039395797066390514, 0.0037014877889305353, 0.003818320808932185, 0.004406912252306938, 0...
0.041191664 0.0053583947 0.0041024378 0.0043290234 0.0052495273 0.0038935544 0.0042245816 0.0039378093 0.0047494457 0.0039395797 0.0037014878 0.0038183208 0.0044069123 0.0037439724 0.0035837693 0.005076048 0.0041343016 0.0035678376 0.0034837532 0.003606782 0.003944005 0.0037439724 0.003615633 0.0034005537 0.0037023728 ...
-1
e2ed4929405492e3c279d5a5caf96cdf221816668e75ae293062bd594ba6db6a
2018-04
-1
nan
train
[ 0.17564992606639862, 0.01249569933861494, 0.007388032507151365, 0.008424562402069569, 0.010965163819491863, 0.004088779911398888, 0.004000564571470022, 0.0038241338916122913, 0.01339549571275711, 0.0022935981396585703, 0.002646459499374032, 0.0026332272682338953, 0.007679143454879522, 0.00...
0.17564993 0.012495699 0.0073880325 0.008424562 0.010965164 0.00408878 0.0040005646 0.003824134 0.013395496 0.0022935981 0.0026464595 0.0026332273 0.0076791435 0.0022053828 0.0016408049 0.016505085 0.008720084 0.0017113772 0.0019407369 0.001393802 0.0040931907 0.0036653464 0.0011379776 0.00084686704 0.0029552132 0.0013...
-1
d778e273355e024a5ba14f8e4d0788fd86960fbc67eb8a9f2a36d179ca70d29c
2018-04
-1
nan
train
[ 0.10720616579055786, 0.008667482063174248, 0.007075175642967224, 0.005722107365727425, 0.007439916022121906, 0.004059205763041973, 0.0035140563268214464, 0.0035062122624367476, 0.010314696468412876, 0.0027806537691503763, 0.0025649473536759615, 0.0031493159476667643, 0.006530026439577341, ...
0.107206166 0.008667482 0.0070751756 0.0057221074 0.007439916 0.0040592058 0.0035140563 0.0035062123 0.0103146965 0.0027806538 0.0025649474 0.003149316 0.0065300264 0.0028198732 0.0021413781 0.01283258 0.0066829817 0.001957047 0.0022433484 0.0026551518 0.0032630523 0.00265123 0.0022511922 0.0016707454 0.0038709526 0.00...
1
5d030decf5d33e780127fc2bdad12829dd62906a27cd4dafb48473d9d881eeee
2018-04
1
high
train
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1
5d874052b209e86e439e87c91fc4085999083f6088e43f9955506bd367f568d1
2018-04
1
adposhel
train
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0
a5758cc5f1717fb8a310d462b39ace770af0ec93226d7affcf34eae13ad56d71
2018-04
0
nan
train
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0
9228a5f3ad737f87de9b9ead4848c63c419e83e7c8c444e176034add5d490ccb
2018-04
0
nan
train
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0
4d1509bfc26a948e9f45df64322ea8e4b0879249e7d25e0d42a911ec727a9020
2018-04
0
nan
train
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-1
c3c3c57c0763d7c3ede188e3b54cfca930746ed7d7cf15e63af7e811d302fd63
2018-04
-1
nan
train
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-1
4a0e1f2bc9f2489115101ed8365ecce2d1c17de4fa9e5b50167deb0623f6ca0c
2018-04
-1
nan
train
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1
b0541230322edcd01e25c88007a66fe5f52e273f0d090bc8578f703f0eaf949b
2018-04
1
vtflooder
train
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1
1af462afa31ab8906fe9ee80f557bb1924b5d9f0431f84167d93c70a5139769e
2018-04
1
runbooster
train
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-1
ea7d2742cf1e90f4b27e3dc94aca2a5d39b03e11e855bfecab1f76ff93bc9a91
2018-04
-1
nan
train