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cacc69d86b750dec47f0246ff6340e7a921a7eeb30ca6729a17b5a7b4101e536
2018-04
0
nan
train
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0
fff23ef363a571f6404f113c075f6e5e75cc49151614801a519741cef2b1186e
2018-04
0
nan
train
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-1
b4a29e7eb7247a7e44f2ba34708f42834137da228ddfe8b2bd08ade628a33601
2018-04
-1
amonetize
train
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1ec5cef9974913269a442b62acaf3651a39ff3ffa4cb949407e643e8323ac9d9
2018-04
0
nan
train
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-1
5a6d0beee0142aa855d44ae5df0c2f793264694a3a2823fc1252b1d1e6d27b7b
2018-04
-1
zusy
train
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1
bfb2b7f2532be4b9c4802819821cb31923f293c5244d88403094311191c65780
2018-04
1
adposhel
train
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-1
b748c2354e25a6a14eb2ce0e5d4163144e5d77c9cf2ccb0afaafc7a0fdd6b968
2018-04
-1
dealply
train
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1
7e05c77d1fdae57e51b12c47e58ba3fc8871816829af8b0559c2de2433c2c8b8
2018-04
1
opensupdater
train
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0
d0f3350bd1b51eda9f17881f09b41194d4c02a31e1d3cc73b21fda3722841020
2018-04
0
nan
train
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0
fae8f139b5d2ba17a7eea006300c9409c0c148bc117887a21c0933d34e3f8031
2018-04
0
nan
train
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1
e1a548c336941e809b8cc07ea78ec5c118b840805f7bd69cf47ab46318e6a3b1
2018-04
1
vtflooder
train
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0
914ea2150552f047a5bc4dfb9e4bdd997b745ac4df4fef903f37c60f9c489fa2
2018-04
0
nan
train
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0
c7abb5b0468f744bb1aa0c26a5e8c508cdc99b368f313d8f57339dcdb800d6b9
2018-04
0
nan
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1
4a1b80d438edb589877025ba1ef2d17c7408f050ef9b1fc11dcff5eeda223388
2018-04
1
nemesis
train
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-1
10eadea7471e12c8b41d4f3edd2243b481bb107ee59aa54826960f64f7327c0d
2018-04
-1
nan
train
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1
a4353bd4783f8e790d622f48334a612d56e6afd94dd095462575dcc1ea1b2657
2018-04
1
filetour
train
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-1
4e4bd63a5903d2b68ce9514b69bb25be8b3652c1df2751dc8c6fee0a9eb689d0
2018-04
-1
nan
train
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-1
d2a5c9a83ab2c31fd0421f7209ffebaf578488b9c9ce74be55f42dbb706e33fc
2018-04
-1
adposhel
train
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1
4e519da80af1571e7e06dc13d3ee886d30e783f15cb7a83a7a39d7726eb8cdd1
2018-04
1
barys
train
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0
e2cabb67ec609d41fd847681c4aafd1e3cb89bb61c7991d575601f3b53d439c2
2018-04
0
nan
train
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0
3abaea9f7815b2c3fd2a110010e7555deb106435c202044e6319b798bcfcb146
2018-04
0
nan
train
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1
e1732a99f62ec9a139601a09073dcb62d60060c1d0eafbc41918788590f9158d
2018-04
1
vtflooder
train
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1
9bd321d3b984bf4795869d67c5ed41bae1581faf16c3c04d4bc89e321bad4ebf
2018-04
1
vtflooder
train
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1
bbf14dd0efe08c0423896a73ea16484ce44e683468d0e3a66ac9b13bb5aabf6c
2018-04
1
vtflooder
train
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-1
cdaccd39b3399fffb30b3f2befbaa17dbb4dfdf439adc69010b6a8ef4a2fbdd0
2018-04
-1
nan
train
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0
3ee2093f776bec54803ffefbac6a40f1864f8c5f4363c258bc30a9406136f2c6
2018-04
0
nan
train
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1
a2a6c7555df39be1025b476a8de5eb42e96e8846bcb316e74ab6d4ae7f0cb5ee
2018-04
1
zbot
train
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0
8e104ba2c3b0de1cc5f6b96bed7c45657d4bf78b2425654c6b1f6134e247a3e6
2018-04
0
nan
train
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0
d85c135ee5b5535dad65712728a7c4602062745e4c6358aea98087ca4eef407a
2018-04
0
nan
train
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1
ea94945392441f58f0aa50a44708d543a8f28d3e2b33ca5e382c96f6754d2902
2018-04
1
rozena
train
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-1
284e9327fad61e1d214dfecf239fc8c7c7cfae42b5210eee3a7a671b508452a2
2018-04
-1
fareit
train
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1
b46a3081313b932f40911073e65735a39dd0d4164983a4703575e314f1ed6b36
2018-04
1
vtflooder
train
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1
efc48ec9809dee2bf2c44d71211873d01e4e5c879039821ffaadbec03210bddd
2018-04
1
zusy
train
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1
57bf5e2df86b52651e40ae71d72ea7a906ed5be7c383e72fa6a82e91f5e5e0b0
2018-04
1
vtflooder
train
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0
2199fa078da0274be5ebadde42f277f882a6fa9462dcb1926afdc9d162be5c0b
2018-04
0
nan
train
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1
00bae2639dc98871a4e69c8e396d6c3aca2dcf634148e540f3b448d168f1b420
2018-04
1
bladabindi
train
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1
71158030b3f940ed6620ccd98be822b9deb80e9aa9dd8fb03730e03078b66416
2018-04
1
adposhel
train
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1
72dadb21c0d5ae16b23052dc1187a72824f87091f5a72527d90cb352fd0d824d
2018-04
1
vtflooder
train
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1
2d3303d30db0c01480b2f5e6e799a90744f7770a94b51fddf6f0163097fb9858
2018-04
1
zusy
train
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1
ab3db0008b10cca6aac30e5450d3bc6fea2b62549baf1079cd24987aa0e8d98a
2018-04
1
emotet
train
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1
64766038a462f71cd1fb116fbc6673e38de0c7ab280b9fab009f03a7686a366f
2018-04
1
vtflooder
train
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1
c41364001101fa2f24fe21a541655b5c6eb8baa34f5d24b1eb0f2a89b6a41941
2018-04
1
gandcrab
train
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-1
40cc6e0858b9a007cd5edd833fc7da37461828f795a977623adbd1c10ac6775c
2018-04
-1
razy
train
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-1
41bf719ab93f2407cb5bc7e9066a537ef1153aa9ef0f54c059306597ce34c732
2018-04
-1
nan
train
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1
7b436fa91e921442186170472fe5ef042ba403ed442994472abd4307c625d525
2018-04
1
wecod
train
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0
f56bbd931d57346cd4f2fab9f7621644a42ef8aca2071558422ca71d56108548
2018-04
0
nan
train
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0
bf806182ed99dd273307f9b9308f6a14c11587caae922bfa09e82de80664a886
2018-04
0
nan
train
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0
0e3ba9906221ae654e0270365d936bbf97e18e6cb15f2c6ad9b597e2c001e850
2018-04
0
nan
train
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0.19376542 0.020492751 0.007518507 0.008723396 0.0068726866 0.008318554 0.007065469 0.0031616287 0.006824491 0.0030652375 0.0034218847 0.0025543645 0.0023904997 0.006226866 0.0018217921 0.010275293 0.004395435 0.0014844232 0.0015133405 0.0023423042 0.0023519432 0.006785935 0.0017157618 0.0017832357 0.003200185 0.001600...
-1
4722ef36011825c10be06cef9b88c78786b5e150d58d4ea912728fa087923f0c
2018-04
-1
nan
train
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0
69d6004455d1a7a62ade2b7f563cb1bd5c3ac65bbf20403fc3d8a4bbc359dc24
2018-04
0
nan
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
dd40305360f2d701a2d972329074e0faaf2e4da2b76ca58006a80c3a0d73ad9c
2018-04
1
vtflooder
train
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0.16572581 0.011466734 0.010987903 0.0043346775 0.008933972 0.0038684476 0.0100428425 0.003326613 0.0041078627 0.0021421371 0.008253528 0.0026839718 0.0020665321 0.0021925403 0.0022429435 0.0027721773 0.0019909274 0.0036164315 0.004952117 0.0032636088 0.001751512 0.0018019154 0.0024823588 0.0011340725 0.0012474798 0.00...
0
775c0653aef80cf9ae5e81230bb3939a66b18de414a54b908e2ace9ec3e56b08
2018-04
0
nan
train
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0
de8492dd042de99171912f4366063c9eab3c42119fb0ee3f8ca1c8b6a03d773a
2018-04
0
nan
train
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-1
7990a8771b60ce0c8e6f32e4cd6a2f7683744eb1160ef006363477bc49566079
2018-04
-1
nan
train
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0
251852355a30c329da4f4d263c4e8daaacfa499994bbe100e8f35163f84675ad
2018-04
0
nan
train
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-1
48654cab5b99d6f93b653cdd88801363299bd5cec1e4fd85ad768cc131ebb982
2018-04
-1
nan
train
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1
0bf3561c0fd19813e3357d91edd06554d85b7c4922aa12ee267260408ecb070f
2018-04
1
vtflooder
train
[ 0.2909482717514038, 0.02374057099223137, 0.012897360138595104, 0.011920797638595104, 0.0200363676995039, 0.00922683160752058, 0.017409753054380417, 0.00754310330376029, 0.007240032311528921, 0.008587014861404896, 0.03566136956214905, 0.004983836319297552, 0.003333782311528921, 0.0041082976...
0.29094827 0.023740571 0.01289736 0.011920798 0.020036368 0.009226832 0.017409753 0.0075431033 0.0072400323 0.008587015 0.03566137 0.0049838363 0.0033337823 0.0041082976 0.0126953125 0.009159483 0.0042429958 0.02188847 0.010607489 0.011617727 0.0035695042 0.0033674568 0.01289736 0.005960399 0.0033001078 0.0024245689 0....
1
0da367e007441033d09c87d14386c88088db236d05a42154456a80ab1100df9c
2018-04
1
bladabindi
train
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1
d00ba5660a53b4609cad1e91a174f3b91d7264784555a3242fbb4c4ce295fad0
2018-04
1
vtflooder
train
[ 0.1565253585577011, 0.007987185381352901, 0.0032509316224604845, 0.004745136480778456, 0.00458328053355217, 0.0018376547377556562, 0.00213175849057734, 0.004545777570456266, 0.0035420747008174658, 0.0022215687204152346, 0.0028492531273514032, 0.0021623531356453896, 0.002283744979649782, 0....
0.15652536 0.007987185 0.0032509316 0.0047451365 0.0045832805 0.0018376547 0.0021317585 0.0045457776 0.0035420747 0.0022215687 0.0028492531 0.0021623531 0.002283745 0.004643483 0.0021939347 0.004604006 0.0033437025 0.0030634159 0.0019245042 0.0015810542 0.0021929478 0.0019195696 0.0016304004 0.0017399491 0.0029351155 0...
0
7d0b888a6bc54da465d7838ebade9a8dc9bdbb2f779c8c95264e89f8247e7bd1
2018-04
0
nan
train
[ 0.015112997964024544, 0.002068593865260482, 0.0017221872694790363, 0.0012719479855149984, 0.0010240032570436597, 0.0007116105989553034, 0.0007903801160864532, 0.0006704356637783349, 0.001169010647572577, 0.0007465198286809027, 0.000611358555033803, 0.0006355264922603965, 0.000929121801164001...
0.015112998 0.0020685939 0.0017221873 0.001271948 0.0010240033 0.0007116106 0.0007903801 0.00067043566 0.0011690106 0.0007465198 0.00061135856 0.0006355265 0.0009291218 0.0007438345 0.00069281337 0.0011779617 0.0017141312 0.0005764494 0.00079485564 0.0006972889 0.000723247 0.0006534286 0.00064089714 0.0005943515 0.0008...
1
c669507f8f89cc474d626669b8f6c6ce9b9ad18b2344e3cce3c5f129a68e7319
2018-04
1
adposhel
train
[ 0.162203848361969, 0.00749826617538929, 0.00399282481521368, 0.003468290902674198, 0.006421778351068497, 0.002537752268835902, 0.002135285409167409, 0.0018929208163172007, 0.007125874049961567, 0.0017682003090158105, 0.0015222975052893162, 0.001283471123315394, 0.005042776465415955, 0.0015...
0.16220385 0.007498266 0.003992825 0.003468291 0.0064217784 0.0025377523 0.0021352854 0.0018929208 0.007125874 0.0017682003 0.0015222975 0.0012834711 0.0050427765 0.0015337965 0.0010570282 0.0068605114 0.0046429634 0.0015010685 0.0011525588 0.0010490674 0.002594363 0.0024581435 0.0009287696 0.0006129879 0.0020689447 0....
1
e18b4b2e208666d48dc4445670bcd6f2aaa46fb4c56e7dfb8e61192b5beb73ac
2018-04
1
zusy
train
[ 0.19268128275871277, 0.027518881484866142, 0.01866241730749607, 0.005151263903826475, 0.01693805307149887, 0.005626009311527014, 0.004452787339687347, 0.0015170035185292363, 0.012288819998502731, 0.002324617002159357, 0.0012714454205706716, 0.0011241105385124683, 0.006679181009531021, 0.00...
0.19268128 0.027518881 0.018662417 0.005151264 0.016938053 0.0056260093 0.0044527873 0.0015170035 0.01228882 0.002324617 0.0012714454 0.0011241105 0.006679181 0.0023191602 0.0009986031 0.0028648449 0.03629349 0.0031595146 0.00069847645 0.0010149736 0.0053367964 0.003819793 0.0012823591 0.00079124287 0.004081722 0.00163...
-1
bc99d0113ffaee3cf6c76ea5b10801f91aa751894f2b4a2105892110207b0737
2018-04
-1
nan
train
[ 0.5027967095375061, 0.002112718764692545, 0.0001975924096768722, 0.0000987962048384361, 0.0002203915355494246, 0.00004559824810712598, 0.000015199416338873561, 0.000030398832677747123, 0.00002279912405356299, 0.000060797665355494246, 0.011559155769646168, 0.00004559824810712598, 0.0000455982...
0.5027967 0.0021127188 0.00019759241 9.8796205e-05 0.00022039154 4.5598248e-05 1.5199416e-05 3.0398833e-05 2.2799124e-05 6.0797665e-05 0.011559156 4.5598248e-05 4.5598248e-05 0.011521158 5.3197957e-05 2.2799124e-05 0.00017479328 3.0398833e-05 1.5199416e-05 7.599708e-06 3.0398833e-05 0.0 1.5199416e-05 0.0 2.2799124e-05 ...
0
5520e9d8fbdeba5d7d6f228f38934f8b72c58c8b879a98598adbe71efb1921b8
2018-04
0
nan
train
[ 0.12145142257213593, 0.007942451164126396, 0.0057261292822659016, 0.0043191807344555855, 0.005741257686167955, 0.003199673257768154, 0.0033812150359153748, 0.003154287813231349, 0.0061119054444134235, 0.0033887792378664017, 0.003169416217133403, 0.0029727460350841284, 0.0037442983593791723, ...
0.12145142 0.007942451 0.0057261293 0.0043191807 0.0057412577 0.0031996733 0.003381215 0.0031542878 0.0061119054 0.0033887792 0.0031694162 0.002972746 0.0037442984 0.0030181315 0.0027685117 0.0044780294 0.004462901 0.0031467236 0.0028971035 0.002526456 0.0032677513 0.0048713703 0.002655048 0.0025567128 0.003252623 0.00...
0
b307ff72eec6fd96dd3ac3a40b3dc3478c28bab21c3f36c2c60449c944d3ecbf
2018-04
0
nan
train
[ 0.14441105723381042, 0.004377003293484449, 0.003064903896301985, 0.004166666883975267, 0.003725961549207568, 0.0045072115026414394, 0.002924679545685649, 0.006019631400704384, 0.005448718089610338, 0.0026943108532577753, 0.0027744390536099672, 0.004547275602817535, 0.0033453525975346565, 0...
0.14441106 0.0043770033 0.003064904 0.004166667 0.0037259615 0.0045072115 0.0029246795 0.0060196314 0.005448718 0.0026943109 0.002774439 0.0045472756 0.0033453526 0.002704327 0.0028846154 0.0053385417 0.0036358172 0.0032852564 0.002794471 0.0035657051 0.0028745993 0.0025641026 0.0023838142 0.002313702 0.00317508 0.0024...
1
88cf3cd7055b81565616c64aaf0b5b426b377ddf3f44a922b1cd5d2866e86464
2018-04
1
emotet
train
[ 0.3171992599964142, 0.012687969952821732, 0.007518797181546688, 0.0039943610318005085, 0.0039943610318005085, 0.005639097653329372, 0.005639097653329372, 0.0051691727712750435, 0.0051691727712750435, 0.003289473708719015, 0.004229323472827673, 0.0051691727712750435, 0.0039943610318005085, ...
0.31719926 0.01268797 0.007518797 0.003994361 0.003994361 0.0056390977 0.0056390977 0.005169173 0.005169173 0.0032894737 0.0042293235 0.005169173 0.003994361 0.0065789474 0.00093984965 0.015272557 0.004464286 0.00046992482 0.0007048872 0.00046992482 0.0014097744 0.0021146617 0.0007048872 0.00046992482 0.0049342103 0.00...
0
52343026f3e746ec82ad9a6783e462b75837b37de2b76eac30360a3026abf1db
2018-04
0
nan
train
[ 0.15694424510002136, 0.0031889518722891808, 0.0033877212554216385, 0.0029008802957832813, 0.003142860485240817, 0.002535029547289014, 0.003154383273795247, 0.002572478726506233, 0.00250046094879508, 0.002442846540361643, 0.0025148645509034395, 0.002232554368674755, 0.002172059379518032, 0....
0.15694425 0.0031889519 0.0033877213 0.0029008803 0.0031428605 0.0025350295 0.0031543833 0.0025724787 0.002500461 0.0024428465 0.0025148646 0.0022325544 0.0021720594 0.0022008666 0.0019963358 0.0020971608 0.0022008666 0.0025436718 0.0022959302 0.0022844072 0.0022095086 0.002166298 0.0021288486 0.0021893436 0.0020683536...
1
694f42526ec55db46514b2c8480e3aa544fabdbb860c91ae709e38444efbc753
2018-04
1
nan
train
[ 0.1511741578578949, 0.011044505052268505, 0.005451233126223087, 0.005240244325250387, 0.007425978314131498, 0.0028986826073378325, 0.002989697502925992, 0.003100018249824643, 0.00871121697127819, 0.0021236781030893326, 0.00303658377379179, 0.0021333310287445784, 0.005004433449357748, 0.001...
0.15117416 0.011044505 0.005451233 0.0052402443 0.0074259783 0.0028986826 0.0029896975 0.0031000182 0.008711217 0.002123678 0.0030365838 0.002133331 0.0050044334 0.0019154473 0.0013610845 0.0044293855 0.0066206353 0.001057702 0.001061839 0.0010094366 0.0024739471 0.0016065487 0.0011638859 0.0008384391 0.0021416051 0.00...
-1
42341f0f8e60fb524189278de2ef57d980d4a6247ebf570d273f15a2f8d846d8
2018-04
-1
nan
train
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0.16489245 0.014239153 0.0050102836 0.0074106064 0.014136436 0.005231935 0.0038551732 0.0028310115 0.013374171 0.0025060428 0.0019714364 0.0018206653 0.0077986466 0.0029367313 0.0015539628 0.009132761 0.007279658 0.0016164337 0.0010391788 0.00092264666 0.004515923 0.0017029318 0.001302878 0.0009755066 0.0040059444 0.00...
-1
ade8504f29a504847bf08bc0498c3d8a3f52174e77ecc8ecbe287a64d5a0cd53
2018-04
-1
nan
train
[ 0.2745218575000763, 0.010177595540881157, 0.009767759591341019, 0.006796448025852442, 0.006591530051082373, 0.006557377055287361, 0.00884562823921442, 0.0028005463536828756, 0.007855190895497799, 0.002766393357887864, 0.0050887977704405785, 0.0024590163957327604, 0.002561475383117795, 0.00...
0.27452186 0.010177596 0.00976776 0.006796448 0.00659153 0.006557377 0.008845628 0.0028005464 0.007855191 0.0027663934 0.005088798 0.0024590164 0.0025614754 0.004644809 0.0026639344 0.0103825135 0.0054303277 0.0024248634 0.0019808742 0.0019808742 0.0029030056 0.0056352457 0.0028688523 0.0016734973 0.0030737706 0.001605...
-1
524b45d0c3ef6d687cda4466c22f18ce7f6903ab7048c89073030cc71bf453c5
2018-04
-1
nan
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 0.0049089794 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056...
-1
7727ad23fb33bf810cf6f5cdd51f1a6a3996a33a153f2bd69adf386f768c9f77
2018-04
-1
vtflooder
train
[ 0.06212843209505081, 0.0038451829459518194, 0.0035896634217351675, 0.0035741773899644613, 0.0035726288333535194, 0.0032768454402685165, 0.004339187406003475, 0.0035215248353779316, 0.0038188567850738764, 0.003391442121937871, 0.0033945392351597548, 0.0033713101875036955, 0.003569531487300992...
0.062128432 0.003845183 0.0035896634 0.0035741774 0.0035726288 0.0032768454 0.0043391874 0.0035215248 0.0038188568 0.0033914421 0.0033945392 0.0033713102 0.0035695315 0.0033387896 0.0034255113 0.0038235025 0.0035416568 0.003324852 0.0034998443 0.003314012 0.0034301572 0.003578823 0.0033465326 0.0031235337 0.003372859 0...
1
f8949195a001f7c2bada85f55299703a7130f3501c145ffee90c0e10fa41731e
2018-04
1
scarsi
train
[ 0.19617770612239838, 0.014625810086727142, 0.009337485767900944, 0.007220012601464987, 0.011835461482405663, 0.00791015662252903, 0.0034012957476079464, 0.002550376346334815, 0.009892459027469158, 0.0015797684900462627, 0.002087700180709362, 0.0015934641705825925, 0.007595750968903303, 0.0...
0.1961777 0.01462581 0.009337486 0.0072200126 0.0118354615 0.007910157 0.0034012957 0.0025503763 0.009892459 0.0015797685 0.0020877002 0.0015934642 0.007595751 0.0043361755 0.0014606755 0.007766649 0.009571504 0.0010902963 0.00089974754 0.0010760052 0.005675972 0.0017756765 0.0015904868 0.0011516291 0.0053645438 0.0009...
0
ce6925d7ecb1eaac20a43bae91ccaf04828196d874ed7f5f84b4d64e79d10a21
2018-04
0
nan
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.0074657393 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
10c50deebd9bcf1385fe9765b1630eb92d946fd6bae667dbfb4e906610f3d3be
2018-04
-1
vtflooder
train
[ 0.05767980217933655, 0.005006942432373762, 0.003282304620370269, 0.0033723812084645033, 0.004960805643349886, 0.003484427696093917, 0.0032932895701378584, 0.0037612486630678177, 0.004029281437397003, 0.00335480528883636, 0.012757927179336548, 0.003508594585582614, 0.0034185179974883795, 0....
0.057679802 0.0050069424 0.0032823046 0.0033723812 0.0049608056 0.0034844277 0.0032932896 0.0037612487 0.0040292814 0.0033548053 0.012757927 0.0035085946 0.003418518 0.0033745782 0.0032932896 0.0037173089 0.003143894 0.003429503 0.0034866247 0.0033152595 0.003422912 0.003411927 0.0035217765 0.0033833662 0.0033591993 0....
-1
7915254971357be4b337a7b8cd680fec76b4d6b4b40dfb24d25bbee0de6399bb
2018-04
-1
nan
train
[ 0.04250369220972061, 0.004875020124018192, 0.004014722537249327, 0.0045134457759559155, 0.005052066873759031, 0.003929939586669207, 0.00384266278706491, 0.004079556558281183, 0.0042890203185379505, 0.0036905521992594004, 0.003835181938484311, 0.003486075671389699, 0.003964850213378668, 0.0...
0.042503692 0.00487502 0.0040147225 0.004513446 0.005052067 0.0039299396 0.0038426628 0.0040795566 0.0042890203 0.0036905522 0.003835182 0.0034860757 0.00396485 0.0039174715 0.0035284671 0.0038426628 0.00401971 0.0033239906 0.0035259735 0.0036182373 0.0035110118 0.0035982884 0.0032317268 0.0032516757 0.003515999 0.0032...
1
42abf8dfc8bc2cdaadc3b3288cb2300cad64ce7ec2ee92fd60322098da23eddc
2018-04
1
filetour
train
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0.37331626 0.00936153 0.005792026 0.0022898708 0.004040948 0.004040948 0.0022225215 0.0022898708 0.0034348061 0.0016837284 0.0047144396 0.0018184268 0.0016837284 0.0065328665 0.0026266163 0.011382004 0.0045123925 0.0012122844 0.0006061422 0.0003367457 0.0021551724 0.0051858835 0.0024245689 0.00047144396 0.0018184268 0....
0
d2311089a2be62e59b4498a6fb6bc5de52d0d493104806dc65493d4d15593eb6
2018-04
0
nan
train
[ 0.022387351840734482, 0.0036518198903650045, 0.003646831028163433, 0.0038563618436455727, 0.0038413952570408583, 0.004362727515399456, 0.004128252621740103, 0.0035570322070270777, 0.0037565852981060743, 0.003492177464067936, 0.003669280791655183, 0.003784023690968752, 0.004614663310348988, ...
0.022387352 0.00365182 0.003646831 0.0038563618 0.0038413953 0.0043627275 0.0041282526 0.0035570322 0.0037565853 0.0034921775 0.0036692808 0.0037840237 0.0046146633 0.0041681635 0.0046121688 0.00449992 0.003579482 0.0034747166 0.0036717753 0.0036617976 0.003779035 0.0042280294 0.003549549 0.006690014 0.0035869651 0.003...
1
ed28cb4a0861297628275db21a791d972cffbd495e51d0f82289ecaebb6c0b42
2018-04
1
matrix
train
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0.14871652 0.015206473 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 0.01046317 0.00516183 0.00390625 0.0030691964 0.0062779016 0.0037667411 0.0037667411 0.001813616 0.0027901786 0.001813616 0.0...
1
88e3c18e88a5a69891ce9ed5a9c7900f93e9ec0a8121be062040b213ddcb5bfa
2018-04
1
vtflooder
train
[ 0.010574614629149437, 0.003881916869431734, 0.0040262541733682156, 0.004018657375127077, 0.004200978670269251, 0.003813546383753419, 0.004011060576885939, 0.003919900394976139, 0.003912303596735001, 0.0038211431819945574, 0.003866723272949457, 0.0038211431819945574, 0.003654015716165304, 0...
0.010574615 0.0038819169 0.004026254 0.0040186574 0.0042009787 0.0038135464 0.0040110606 0.0039199004 0.0039123036 0.0038211432 0.0038667233 0.0038211432 0.0036540157 0.004109818 0.0037603695 0.003957884 0.003973077 0.0036312256 0.0038059498 0.003957884 0.0036084354 0.0039882706 0.0039123036 0.0035780487 0.00387432 0.0...
1
bf09dc0955f002cc4a963ccc99c17ec29b8f4b480e464c9331be6d4e8cdaf3f7
2018-04
1
vtflooder
train
[ 0.12733860313892365, 0.00146484375, 0.0004111842135898769, 0.3823499083518982, 0.002235814230516553, 0.0002184416080126539, 0.0003212376614101231, 0.00030838814564049244, 0.0009894119575619698, 0.00011564556189114228, 0.00025699014076963067, 0.00005139802669873461, 0.00012849507038481534, ...
0.1273386 0.0014648438 0.0004111842 0.3823499 0.0022358142 0.00021844161 0.00032123766 0.00030838815 0.000989412 0.00011564556 0.00025699014 5.1398027e-05 0.00012849507 0.00023129112 8.9946545e-05 3.854852e-05 0.00034693666 5.1398027e-05 8.9946545e-05 6.4247535e-05 2.5699013e-05 5.1398027e-05 8.9946545e-05 0.0001156455...
0
a258627e02dc61ceffc6e590641b5e3bfb8121d531daca8ce58d34ea9484bd8e
2018-04
0
nan
train
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0.17831 0.012251361 0.010048554 0.0069734906 0.008813183 0.0033377837 0.0030326894 0.003233478 0.008576539 0.0024485772 0.0024446659 0.0020991531 0.0048599956 0.0019394349 0.0016917087 0.0065608313 0.009577223 0.0013403287 0.0011734396 0.00093288446 0.0026930438 0.0027595388 0.0011317172 0.00090420037 0.002347531 0.000...
0
6c08ffac1e835875e6cf027cd3cee376eca1883ed497ac0c7453749f4a6681ce
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
7ac970057031ba1935736d8f85a265cfe8c8bcb89e03c9dff5343a30da336301
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
059f30e040737e3e1a772e1767d2bf69d4078406f9920af581c6599ace5afd68
2018-04
-1
vtflooder
train
[ 0.28969839215278625, 0.016124635934829712, 0.008993458934128284, 0.007903343066573143, 0.010083575733006, 0.006676962133497, 0.002271075500175357, 0.0027707121334969997, 0.007948764599859715, 0.0029978197999298573, 0.002134811133146286, 0.003224927233532071, 0.0055414242669939995, 0.002134...
0.2896984 0.016124636 0.008993459 0.007903343 0.010083576 0.006676962 0.0022710755 0.0027707121 0.007948765 0.0029978198 0.0021348111 0.0032249272 0.0055414243 0.0021348111 0.001771439 0.008584666 0.031749636 0.0018622819 0.0013172239 0.0017260174 0.002316497 0.005586846 0.00068132265 0.0014534884 0.0016805959 0.000635...
1
deabae7dcd10d1a0f79b6eed4fc663f1aa441652aff4a0e51e061c0b7db1b906
2018-04
1
bunitu
train
[ 0.8670779466629028, 0.0035196940880268812, 0.00229742587544024, 0.0020658052526414394, 0.0015743940602988005, 0.0012347882147878408, 0.0005524464068002999, 0.00069642678136006, 0.0007199018145911396, 0.0010908078402280807, 0.0006854717503301799, 0.00033021584386006, 0.0005227113142609596, ...
0.86707795 0.003519694 0.0022974259 0.0020658053 0.0015743941 0.0012347882 0.0005524464 0.0006964268 0.0007199018 0.0010908078 0.00068547175 0.00033021584 0.0005227113 0.0003521259 0.00043350612 0.00032708584 0.0017027244 0.0002316206 0.00021753556 0.00022379558 0.00029891575 0.00037403597 0.0002660507 0.0001940605 0.0...
-1
3a39725d804d7d62446f0a108beb4e251199708774adb1d853d31a24de4639d7
2018-04
-1
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007465739268809557, 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 0.0074657393 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
c88381b6f4ac261ff85a18924ddb15a4b458ba8c1c03518c0e1f750231992954
2018-04
1
vtflooder
train
[ 0.023339446634054184, 0.004820266738533974, 0.004234515596181154, 0.00404761778190732, 0.004656745120882988, 0.00387327722273767, 0.0038505177944898605, 0.003842164995148778, 0.004673562478274107, 0.0036946202162653208, 0.0037129512056708336, 0.003715754020959139, 0.0043172575533390045, 0....
0.023339447 0.0048202667 0.0042345156 0.004047618 0.004656745 0.0038732772 0.0038505178 0.003842165 0.0046735625 0.0036946202 0.0037129512 0.003715754 0.0043172576 0.0037053833 0.0036327322 0.0043593007 0.00443184 0.0037775862 0.0036281354 0.003595117 0.0038890296 0.0038002336 0.00358626 0.0036431588 0.0038173874 0.003...
-1
0c2af8eff91dbb8487440cae59e9a6dca879398907231f064ba33c54d57f22f0
2018-04
-1
nan
train
[ 0.18015827238559723, 0.012721954844892025, 0.0074973516166210175, 0.008534123189747334, 0.011096623726189137, 0.004056537989526987, 0.003988627344369888, 0.003780367551371455, 0.01365912426263094, 0.0022003096528351307, 0.0025398635771125555, 0.002634938806295395, 0.007764467038214207, 0.0...
0.18015827 0.012721955 0.0074973516 0.008534123 0.011096624 0.004056538 0.0039886273 0.0037803676 0.013659124 0.0022003097 0.0025398636 0.0026349388 0.007764467 0.0021957823 0.0016162768 0.016850932 0.008837458 0.0016208042 0.0018788653 0.001312942 0.0040837023 0.0036671828 0.0010684631 0.00074249133 0.0029246914 0.001...
-1
0102503661b6a74f8697e11e832144aea5449eb62522f53fb9154f75e2fedcf1
2018-04
-1
nan
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 0.0039554294 0.00106087 0.0014332284 0.00262056 0.00106...
1
1c921f8a5e79ebc39d649833e688693d8406812cc0f3ba52688daf81861f973b
2018-04
1
snojan
train
[ 0.14144505560398102, 0.005122087895870209, 0.0017974451184272766, 0.001312864013016224, 0.007378350477665663, 0.0027430360205471516, 0.000813482329249382, 0.0007307088235393167, 0.009799063205718994, 0.0012394094374030828, 0.0009746439172886312, 0.0007767550414428115, 0.004885279107838869, ...
0.14144506 0.005122088 0.0017974451 0.001312864 0.0073783505 0.002743036 0.00081348233 0.0007307088 0.009799063 0.0012394094 0.0009746439 0.00077675504 0.004885279 0.0015507692 0.00071152294 0.007227604 0.0046331217 0.002310531 0.0006386165 0.00062217144 0.00216417 0.0016192903 0.00044292028 0.00035247247 0.0017119307 ...
0
4978321cdb35ff5f47286637e0de83cd04d144271277ab97c724e84c2bb81d08
2018-04
0
nan
train
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1
a3d8bc19470d5929b164c11fb05dabda54e773ec3335d98718dd3383a58fb740
2018-04
1
zusy
train
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0
de90b15aa931bedab8c1117e1d01752892016c54d1aea21cbc0a72d9ac59b34a
2018-04
0
nan
train
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0
7a5c735828f5038234b83d234dea4bac53aa92049cefac6fdc5520d742d56a1e
2018-04
0
nan
train
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-1
91ea1d216fd9abf70fa88e824b2c37c21beeb923332ac5aa37c59631da3d6587
2018-04
-1
vtflooder
train
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-1
e174dd7c9712ecba34083d2b6fef9514ff36214b4973ffeef469aac9b59a7acd
2018-04
-1
skeeyah
train
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0
dbe497a329d72432063a1fcdbd7c11f7ae6abdce34be322c6dd83707c333d0a5
2018-04
0
nan
train
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0
14578b1e605c08f10a4fae5754b32dc02a9e859bc9f39e09de0a072f7c0402cf
2018-04
0
nan
train
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0
e774782328b29ebe16f713657f0066eb080b5c233f4b614af8040143edf78bfc
2018-04
0
nan
train