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
[ 0.1784532517194748, 0.012640008702874184, 0.007474598940461874, 0.008496919646859169, 0.011048237793147564, 0.004071347415447235, 0.0039637344889342785, 0.0037664445117115974, 0.013532297685742378, 0.002210544189438224, 0.002542349975556135, 0.0026320272590965033, 0.007712243590503931, 0.0...
0.17845325 0.012640009 0.007474599 0.00849692 0.011048238 0.0040713474 0.0039637345 0.0037664445 0.013532298 0.0022105442 0.00254235 0.0026320273 0.0077122436 0.0021970926 0.0016500615 0.016733775 0.00881079 0.0016455776 0.0019011578 0.0013496426 0.00412067 0.0036633157 0.0010940625 0.00074880506 0.0029414138 0.0013765...
0
c3bd857f0902e1b54dbe78178dbad2873a9a7b315d65fd3ffc90bb712b33e6f4
2018-04
0
nan
train
[ 0.35155248641967773, 0.029630064964294434, 0.00792012084275484, 0.013411805033683777, 0.0059322696179151535, 0.008184732869267464, 0.004605297464877367, 0.0015915845287963748, 0.0032822357024997473, 0.0013374002883210778, 0.0015772460028529167, 0.0009945774218067527, 0.0014599300920963287, ...
0.3515525 0.029630065 0.007920121 0.013411805 0.0059322696 0.008184733 0.0046052975 0.0015915845 0.0032822357 0.0013374003 0.001577246 0.0009945774 0.0014599301 0.001664581 0.0018183951 0.008351582 0.0034529956 0.0019917618 0.0016580635 0.00071171595 0.0011197142 0.0066870013 0.00059570366 0.00061655976 0.0016984723 0....
-1
ffbaf252ce7754d3a0013efb2ccf5cfda66f91c63a0d65ead36c318698966e86
2018-04
-1
nan
train
[ 0.131972998380661, 0.01592298597097397, 0.010319989174604416, 0.01170345302671194, 0.015858737751841545, 0.007450878154486418, 0.006886111572384834, 0.03371527045965195, 0.015550350770354271, 0.005436565261334181, 0.005403523333370686, 0.005627471953630447, 0.012881936505436897, 0.00353544...
0.131973 0.015922986 0.010319989 0.011703453 0.015858738 0.007450878 0.0068861116 0.03371527 0.015550351 0.0054365653 0.0054035233 0.005627472 0.0128819365 0.00353545 0.0029810856 0.012176437 0.026588688 0.0032705055 0.0018680735 0.0020583686 0.004947672 0.0039961967 0.0046190917 0.0031548599 0.007086809 0.0024334518 0...
0
c607abde0a665b530f45a2774ade403be89c2aa3e3c500f208c6729b867da79b
2018-04
0
nan
train
[ 0.09570220857858658, 0.010616196319460869, 0.005059354472905397, 0.007265195250511169, 0.010819572024047375, 0.0035637628752738237, 0.0037640093360096216, 0.004712051711976528, 0.006367214489728212, 0.0031382390297949314, 0.0030913061928004026, 0.002227742923423648, 0.0051062870770692825, ...
0.09570221 0.010616196 0.0050593545 0.0072651953 0.010819572 0.0035637629 0.0037640093 0.0047120517 0.0063672145 0.003138239 0.0030913062 0.002227743 0.005106287 0.003009956 0.0028316113 0.0059260465 0.0066206516 0.0023654124 0.0023591546 0.0022840623 0.007499859 0.0033197124 0.002165166 0.0017239976 0.005484878 0.0026...
-1
f612ec6490c58cb14b8a2c95b422f9448095549275eb620cd3bc3ea31c8295b1
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
27714b3e2619747e5fd77f5405b3b121c894bbe1795de80bd919c1e39f41d1ae
2018-04
1
vtflooder
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
26a9923def70f1142bf508ed6513f603af99e2c36a58c6dc130f2de61c420858
2018-04
1
vtflooder
train
[ 0.2421226054430008, 0.023130908608436584, 0.008987396024167538, 0.013857061043381691, 0.011601259931921959, 0.007232884410768747, 0.016721569001674652, 0.0045116012915968895, 0.005370954051613808, 0.005657404661178589, 0.004332569427788258, 0.004189344123005867, 0.002040962455794215, 0.005...
0.2421226 0.023130909 0.008987396 0.013857061 0.01160126 0.0072328844 0.016721569 0.0045116013 0.005370954 0.0056574047 0.0043325694 0.004189344 0.0020409625 0.005979662 0.0026138641 0.0022199943 0.002184188 0.0017903179 0.001396448 0.0055141794 0.0029361215 0.0015396734 0.0032225724 0.0027570897 0.0018619307 0.0017545...
0
e5ccf7f46ab02528736edcc12d444c186d9df9cf63e68e462008273ee9dbd8df
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
ec5ed412c05c1ae4e4190223ec7b602a7e72f04a1b143db37eda8c898ba37c50
2018-04
1
vtflooder
train
[ 0.2767584025859833, 0.009938837960362434, 0.011563455685973167, 0.004969418980181217, 0.003249235451221466, 0.012327982112765312, 0.0020068807061761618, 0.0017201835289597511, 0.010990060865879059, 0.0024847094900906086, 0.004109327215701342, 0.00544724753126502, 0.004778287373483181, 0.00...
0.2767584 0.009938838 0.011563456 0.004969419 0.0032492355 0.012327982 0.0020068807 0.0017201835 0.010990061 0.0024847095 0.004109327 0.0054472475 0.0047782874 0.004300459 0.0024847095 0.015481652 0.008123089 0.0036314984 0.0020068807 0.0016246177 0.0033448013 0.0033448013 0.0011467889 0.0011467889 0.008887615 0.001337...
0
d49da0937a12a1c652fbf66e8187f9cbcb5af68d456731ffefa87898e32a74ce
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
4ec1673a5b7de4e746c5e6d4bcfd7c566937d58a7cc52a0bc15b5a94b66e108f
2018-04
1
vtflooder
train
[ 0.01524010393768549, 0.0022690980695188046, 0.0016290959902107716, 0.0012075002305209637, 0.0011063531273975968, 0.0007080301875248551, 0.0007008693064562976, 0.0006364215514622629, 0.0012576263397932053, 0.0006292607286013663, 0.0006328411400318146, 0.0006802818388678133, 0.0009085343335755...
0.015240104 0.002269098 0.001629096 0.0012075002 0.0011063531 0.0007080302 0.0007008693 0.00063642155 0.0012576263 0.0006292607 0.00063284114 0.00068028184 0.00090853433 0.00076531706 0.0006382118 0.0011153042 0.001678327 0.00060777814 0.00082797464 0.0006713308 0.0007089253 0.0007053449 0.00063373626 0.00059793197 0.0...
1
ec2c07611461aa3eaa1d1c8b7b4f546bfbf2725f1f08301655f35c36a1ccc76c
2018-04
1
adposhel
train
[ 0.1275537759065628, 0.017793599516153336, 0.009025190025568008, 0.008692638017237186, 0.013344147242605686, 0.005726336967200041, 0.005287144798785448, 0.003759092651307583, 0.01538014691323042, 0.0025565759278833866, 0.0025972677394747734, 0.002557978965342045, 0.009729580953717232, 0.001...
0.12755378 0.0177936 0.00902519 0.008692638 0.013344147 0.005726337 0.005287145 0.0037590927 0.015380147 0.002556576 0.0025972677 0.002557979 0.009729581 0.001989695 0.0016346931 0.0099863615 0.009589264 0.0013273988 0.0013316084 0.0019293588 0.0056253085 0.0014663127 0.0011435836 0.0008475147 0.004577141 0.0008629496 ...
-1
a52f02dbd56328fba1b96e887446c9dd9498e93d62b2c6adc336806b00753bf7
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
c13e9e851a0f6f92750488d90a8a2e98d2b04ddc2947b4b4142931355a648d51
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
f9421d26e99a6ff013295d6447c7e7291b40d83630660b124d0b1446ba9dc2ee
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
f2df1f63eece20744689a8cbe85b04fd3fcbd83c12358e30eb3d667a7cfc9251
2018-04
1
vtflooder
train
[ 0.1814226657152176, 0.012782860547304153, 0.007520134095102549, 0.008573591709136963, 0.011159350164234638, 0.0040770163759589195, 0.0039721266366541386, 0.0037669078446924686, 0.013708625920116901, 0.002184441778808832, 0.0025219128001481295, 0.0026131211780011654, 0.007789199240505695, 0...
0.18142267 0.012782861 0.007520134 0.008573592 0.01115935 0.0040770164 0.0039721266 0.0037669078 0.013708626 0.0021844418 0.0025219128 0.0026131212 0.0077891992 0.0021844418 0.0016052682 0.016951084 0.0088563375 0.0016052682 0.001874333 0.0013088408 0.004095258 0.003662018 0.0010534573 0.0007023048 0.00292323 0.0013270...
-1
41f2e9b7150a106b6db8f0cd00776e7e42c12f0f46b6fb99df6c24b1270429b8
2018-04
-1
nan
train
[ 0.14578871428966522, 0.007950065657496452, 0.004827611148357391, 0.005478122737258673, 0.007885957136750221, 0.0022796180564910173, 0.00218094140291214, 0.0015178598696365952, 0.0042210957035422325, 0.0010137921199202538, 0.0014669502852484584, 0.001348789781332016, 0.0020539816468954086, ...
0.14578871 0.007950066 0.004827611 0.0054781227 0.007885957 0.002279618 0.0021809414 0.0015178599 0.0042210957 0.0010137921 0.0014669503 0.0013487898 0.0020539816 0.0013450186 0.00089060346 0.06999942 0.013032854 0.004317887 0.0015618558 0.0016467051 0.0036277792 0.0022299655 0.0019150804 0.0011941754 0.001641677 0.000...
0
3108bcb9217cfb64e8a8741008ec1284207c55b1c2f3ffd05a2b26ccdcdaddfc
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 0.008795255 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 0...
1
25e3638c1b2400f533e13560ca1a19a3275da0ff6e0201454ac7134d1590cd04
2018-04
1
vtflooder
train
[ 0.15526166558265686, 0.006518260575830936, 0.0027767319697886705, 0.002800263464450836, 0.010683358646929264, 0.002070783171802759, 0.0036238704342395067, 0.005529932212084532, 0.0140483807772398, 0.0012942394241690636, 0.0015766189899295568, 0.0011765813687816262, 0.009106739424169064, 0....
0.15526167 0.0065182606 0.002776732 0.0028002635 0.010683359 0.0020707832 0.0036238704 0.005529932 0.014048381 0.0012942394 0.001576619 0.0011765814 0.009106739 0.0010353916 0.0023060993 0.0021178464 0.0068477034 0.0012707078 0.0004941642 0.0005412274 0.0033885543 0.00955384 0.0010353916 0.00032944276 0.0029414534 0.00...
0
c8590c6574af3643b0c089110d6f5ad3c443d9ae92af1fe71f731b335ea1a7fb
2018-04
0
nan
train
[ 0.18144546449184418, 0.01278742030262947, 0.007506452966481447, 0.008573591709136963, 0.011145669035613537, 0.004081576596945524, 0.0039766873233020306, 0.0037760285194963217, 0.01370406523346901, 0.002202683361247182, 0.002531033707782626, 0.0026176816318184137, 0.007780078332871199, 0.00...
0.18144546 0.01278742 0.007506453 0.008573592 0.011145669 0.0040815766 0.0039766873 0.0037760285 0.013704065 0.0022026834 0.0025310337 0.0026176816 0.0077800783 0.0021753209 0.001591587 0.016941965 0.008870019 0.0016235099 0.001874333 0.00129972 0.004104379 0.0036665786 0.001062578 0.0007114257 0.00292323 0.0013179617 ...
0
a0bf303bd9f98c3697b99c262e8534ef83aaa5a71846aca911238cc6c2d03071
2018-04
0
nan
train
[ 0.1405675858259201, 0.024091465398669243, 0.010514495894312859, 0.016792569309473038, 0.01648632064461708, 0.007707227487117052, 0.020824827253818512, 0.005512454081326723, 0.0045937118120491505, 0.007605144754052162, 0.0070947324857115746, 0.005053082946687937, 0.002552062040194869, 0.006...
0.14056759 0.024091465 0.010514496 0.01679257 0.01648632 0.0077072275 0.020824827 0.005512454 0.004593712 0.0076051448 0.0070947325 0.005053083 0.002552062 0.00699265 0.0037770518 0.0026541445 0.0036239282 0.0028072682 0.0015822785 0.011433238 0.0026031034 0.0030624745 0.0032155982 0.002756227 0.002296856 0.002092691 0...
0
a05da5645cf5f736ff7b75050651e105156dc0104f48f16a6ba3dcfdddd35e52
2018-04
0
nan
train
[ 0.18078184127807617, 0.012753641232848167, 0.007510427385568619, 0.008537261746823788, 0.011108890175819397, 0.0040709879249334335, 0.003984661307185888, 0.003780202940106392, 0.013675974681973457, 0.002185429912060499, 0.002526193391531706, 0.002603433094918728, 0.00779212499037385, 0.002...
0.18078184 0.012753641 0.0075104274 0.008537262 0.01110889 0.004070988 0.0039846613 0.003780203 0.013675975 0.00218543 0.0025261934 0.002603433 0.007792125 0.0021717993 0.0015993166 0.016897326 0.008850764 0.0016265777 0.001885558 0.0013176189 0.0041027926 0.0036711586 0.0010495515 0.00073604914 0.0029260225 0.00132670...
0
6b8558aa7887cfa7e5bd2c8e88123187bd1aa00c2ad3950b65771b79a66bfd68
2018-04
0
nan
train
[ 0.22805729508399963, 0.006520833354443312, 0.005635416600853205, 0.004182291682809591, 0.0045572915114462376, 0.0027656250167638063, 0.002916666679084301, 0.0023385416716337204, 0.004932291805744171, 0.00416145846247673, 0.006671874783933163, 0.00925520807504654, 0.007734375074505806, 0.00...
0.2280573 0.0065208334 0.0056354166 0.0041822917 0.0045572915 0.002765625 0.0029166667 0.0023385417 0.004932292 0.0041614585 0.006671875 0.009255208 0.007734375 0.0044010417 0.0016666667 0.0051666666 0.0050989585 0.0024010416 0.0021510418 0.001421875 0.0019791666 0.0019427084 0.0011302084 0.0013385416 0.0030260417 0.00...
-1
6220b37e70c8ccf31ee0ba26c8d2833bd2487062ce10aae333664563a0af74d8
2018-04
-1
gandcrab
train
[ 0.19798016548156738, 0.015582048334181309, 0.006065495312213898, 0.007589339278638363, 0.007529580499976873, 0.00781343411654234, 0.007962830364704132, 0.0030925062019377947, 0.00760427862405777, 0.0032867216505110264, 0.004422134719789028, 0.0029281701426953077, 0.0023903429973870516, 0.0...
0.19798017 0.015582048 0.0060654953 0.0075893393 0.0075295805 0.007813434 0.00796283 0.0030925062 0.0076042786 0.0032867217 0.0044221347 0.0029281701 0.002390343 0.008425959 0.0017927573 0.008664994 0.004900203 0.0015686626 0.0017329986 0.0037199713 0.0022857655 0.009083304 0.001508904 0.0014939643 0.0036452732 0.00159...
-1
3e14a623c5be5c3458dd7077dbedc92359e31a0a466462c731037bb3711d7ce2
2018-04
-1
nan
train
[ 0.23176425695419312, 0.027389783412218094, 0.012830124236643314, 0.005366161465644836, 0.006128998473286629, 0.005050505045801401, 0.003248632187023759, 0.0026238951832056046, 0.007957176305353642, 0.0022622053511440754, 0.0031368371564894915, 0.002268781652674079, 0.0030710753053426743, 0...
0.23176426 0.027389783 0.012830124 0.0053661615 0.0061289985 0.005050505 0.0032486322 0.0026238952 0.007957176 0.0022622054 0.0031368372 0.0022687817 0.0030710753 0.003242056 0.0014927925 0.012113321 0.0076744 0.0024923717 0.0020912248 0.0011574074 0.002617319 0.0035577125 0.0015782828 0.0011837122 0.0038273358 0.00180...
-1
0e36babec0fd6613b352a453460e4f2a3df8366d96ac59dfa109a8b80705cef3
2018-04
-1
phider
train
[ 0.042818259447813034, 0.004868090618401766, 0.00402558408677578, 0.004514138214290142, 0.005087441299110651, 0.0039258794859051704, 0.003823681967332959, 0.00406297342851758, 0.004247427452355623, 0.0036816024221479893, 0.003811218775808811, 0.0035121042747050524, 0.003978224471211433, 0.0...
0.04281826 0.0048680906 0.004025584 0.004514138 0.0050874413 0.0039258795 0.003823682 0.0040629734 0.0042474275 0.0036816024 0.0038112188 0.0035121043 0.0039782245 0.0038785196 0.0035096116 0.0038411303 0.003995673 0.0033326354 0.0035345377 0.0036342426 0.0035295526 0.0036167942 0.0032404084 0.0032802904 0.0035295526 0...
1
cc506ff8c291f33d7a12cb513ab9c1a88d04f56511b2dc5b3f155ea7e4915617
2018-04
1
filetour
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.012886070646345615, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0067498465068638325, 0.00...
0.13397422 0.014113315 0.011352015 0.012886071 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.0067498465 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.0015340...
-1
ef32910f5bdd1104f9d476fc6a304ff7c387fcf36cbab38e7775aca2863fa892
2018-04
-1
vtflooder
train
[ 0.1689612865447998, 0.012048529461026192, 0.01835816726088524, 0.0064980280585587025, 0.01299814973026514, 0.004081763792783022, 0.0029102626722306013, 0.0033951899968087673, 0.013143278658390045, 0.0021671722643077374, 0.002328349743038416, 0.0016564285615459085, 0.005999146029353142, 0.0...
0.16896129 0.012048529 0.018358167 0.006498028 0.01299815 0.004081764 0.0029102627 0.00339519 0.013143279 0.0021671723 0.0023283497 0.0016564286 0.005999146 0.0017596936 0.0011910377 0.0042527094 0.0077986107 0.0017436458 0.0020332066 0.0011449871 0.005948909 0.0022564826 0.0009342703 0.0010780043 0.0027086164 0.000720...
-1
a85788c456ad74e38fa456549d820c051217f264f0312d497fc25652eb83da17
2018-04
-1
nan
train
[ 0.06033819168806076, 0.00743786059319973, 0.004852041602134705, 0.005534814205020666, 0.005897990893572569, 0.0033630169928073883, 0.00325406389310956, 0.004706771112978458, 0.0037407209165394306, 0.0036898760590702295, 0.0032322732731699944, 0.0039005186408758163, 0.0034937607124447823, 0...
0.06033819 0.0074378606 0.0048520416 0.005534814 0.005897991 0.003363017 0.003254064 0.004706771 0.003740721 0.003689876 0.0032322733 0.0039005186 0.0034937607 0.003159638 0.0028545696 0.009144791 0.003363017 0.003021631 0.0029344684 0.0035300783 0.0040385257 0.0033266994 0.0027020352 0.0034937607 0.0031160568 0.003479...
1
fe4cf4ee2c86297e9efd2225b0458025582d3b5c4d701c49cfe7f1adc8fe868e
2018-04
1
byfh
train
[ 0.16200850903987885, 0.00916921254247427, 0.00528612220659852, 0.004880912136286497, 0.011822527274489403, 0.004784736316651106, 0.0035676907282322645, 0.0028237439692020416, 0.0110269570723176, 0.0016441785264760256, 0.0014843572862446308, 0.0014185901964083314, 0.007580193690955639, 0.00...
0.16200851 0.009169213 0.005286122 0.004880912 0.011822527 0.0047847363 0.0035676907 0.002823744 0.011026957 0.0016441785 0.0014843573 0.0014185902 0.0075801937 0.0032749209 0.0012969563 0.00552939 0.006763408 0.0017905635 0.001026816 0.0014482915 0.0048851552 0.0019129046 0.0014390983 0.0011378423 0.004045033 0.002093...
1
18414c6f44459e50cb4bcd708b5dab82aac1d414b2a1f43497ba90eaff03a182
2018-04
1
neshta
train
[ 0.13774098455905914, 0.035516634583473206, 0.005640698131173849, 0.004766466096043587, 0.01966642402112484, 0.003162439912557602, 0.00687222508713603, 0.002463054144755006, 0.011646293103694916, 0.002485860139131546, 0.0022425956558436155, 0.0015356078511103988, 0.006697379052639008, 0.002...
0.13774098 0.035516635 0.005640698 0.004766466 0.019666424 0.00316244 0.006872225 0.0024630541 0.011646293 0.0024858601 0.0022425957 0.0015356079 0.006697379 0.0025998906 0.0019613209 0.0029115733 0.025710028 0.0012771392 0.00094265037 0.0015736179 0.0057699326 0.004059478 0.0016648421 0.0011783129 0.005990391 0.001398...
0
2028862fa4aa0a1c8bb4f438461dfc94079b80d76f1150f3386648e43c509a02
2018-04
0
nan
train
[ 0.17843212187290192, 0.01262922864407301, 0.007464560214430094, 0.008468801155686378, 0.01103768590837717, 0.004088696092367172, 0.003985581919550896, 0.003783837193623185, 0.013534839265048504, 0.0022191936150193214, 0.002582334214821458, 0.002640616148710251, 0.007715620566159487, 0.0022...
0.17843212 0.012629229 0.00746456 0.008468801 0.011037686 0.004088696 0.003985582 0.0037838372 0.013534839 0.0022191936 0.0025823342 0.0026406161 0.0077156206 0.002210227 0.001613959 0.016749308 0.008791593 0.0016856905 0.0018919186 0.0013359993 0.0040752464 0.0036627902 0.0011297712 0.00077559694 0.002963408 0.0013673...
0
f0cd7ccbcf19c9836fc0c92c02ef0b63087cc42c51fec2246e69287a72066150
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
764fe5b73bfd995951b8c0a57db3f56211513773dcbf5c817206daadd97e0458
2018-04
1
vtflooder
train
[ 0.1313241422176361, 0.01513433363288641, 0.00952256377786398, 0.008679344318807125, 0.008170505054295063, 0.005161083769053221, 0.010380321182310581, 0.004594091791659594, 0.003983484581112862, 0.003910792991518974, 0.01530879270285368, 0.0028640381060540676, 0.0017300534527748823, 0.01013...
0.13132414 0.015134334 0.009522564 0.008679344 0.008170505 0.005161084 0.010380321 0.004594092 0.0039834846 0.003910793 0.015308793 0.002864038 0.0017300535 0.0101331705 0.0037072576 0.0013811352 0.0018172831 0.0035909514 0.0049575483 0.004666783 0.0016428239 0.0029512676 0.0025587345 0.0016864387 0.0013229821 0.001352...
0
da15ddaa8a59cad81ae82e0745831513ce4b5fe3c46c4357c6d4943fcb5c09a4
2018-04
0
nan
train
[ 0.3806709051132202, 0.016681650653481483, 0.007435666862875223, 0.004288873169571161, 0.006348261144012213, 0.004468082450330257, 0.0028126747347414494, 0.002381357364356518, 0.005033047404140234, 0.0019105533137917519, 0.0019470026018097997, 0.0014761985512450337, 0.0018649916164577007, 0...
0.3806709 0.01668165 0.007435667 0.004288873 0.006348261 0.0044680825 0.0028126747 0.0023813574 0.0050330474 0.0019105533 0.0019470026 0.0014761986 0.0018649916 0.0020593882 0.0014579738 0.010925692 0.0035963356 0.0010600685 0.0010205817 0.0015004982 0.0016948946 0.0013304012 0.00070164993 0.001035769 0.0023540203 0.00...
0
372786acb2010cb4066e0965e970eb526b1978a993072a64f696dea26a517c7c
2018-04
0
nan
train
[ 0.7840607762336731, 0.0012053250102326274, 0.0009273921023122966, 0.0009266327251680195, 0.001072623417712748, 0.0009718158398754895, 0.0007732380763627589, 0.0007946905680000782, 0.0010614226339384913, 0.0007916530594229698, 0.0007698208792135119, 0.0007588099106214941, 0.000878981663845479...
0.7840608 0.001205325 0.0009273921 0.0009266327 0.0010726234 0.00097181584 0.0007732381 0.00079469057 0.0010614226 0.00079165306 0.0007698209 0.0007588099 0.00087898166 0.00077399745 0.0007443817 0.0009207476 0.000955679 0.00077039044 0.00074210356 0.0007352691 0.00084177207 0.0008463284 0.0007371676 0.0007345097 0.000...
1
ed106ff73fa04bf56db425c0cd297542a25a49ef9cc95b75ec8bab9884569136
2018-04
1
wannacry
train
[ 0.1187383383512497, 0.012808399274945259, 0.005510328337550163, 0.004799525719136, 0.018356306478381157, 0.002285948721691966, 0.0020862368401139975, 0.0028786417096853256, 0.010872483253479004, 0.0031878729350864887, 0.001697550411336124, 0.0009373570792376995, 0.008946230635046959, 0.002...
0.11873834 0.012808399 0.0055103283 0.0047995257 0.018356306 0.0022859487 0.0020862368 0.0028786417 0.010872483 0.003187873 0.0016975504 0.0009373571 0.008946231 0.0022064934 0.0018017011 0.027019076 0.009811648 0.0013002743 0.00058302964 0.00060020917 0.007279818 0.0012884634 0.0011918285 0.0005862508 0.0060385983 0.0...
0
06b83bb25d8a45f08160a018ca0780a3a2043e90d75dd84dbe02da80dde3e0bc
2018-04
0
nan
train
[ 0.2526280879974365, 0.0021063112653791904, 0.001474417862482369, 0.0018095128471031785, 0.0018478094134479761, 0.0013882506173104048, 0.001656326581723988, 0.0011871936731040478, 0.0022786457557231188, 0.0015222886577248573, 0.009708180092275143, 0.0012542125768959522, 0.010416666977107525, ...
0.2526281 0.0021063113 0.0014744179 0.0018095128 0.0018478094 0.0013882506 0.0016563266 0.0011871937 0.0022786458 0.0015222887 0.00970818 0.0012542126 0.010416667 0.0022499233 0.009870941 0.010895374 0.0019722732 0.0011010263 0.0014456954 0.009803922 0.001685049 0.0011297488 0.0011776194 0.0010914522 0.0016802619 0.018...
1
6fb9111e0c2cade5834bbcad9b0740dca1a0b7c9f2b1d87fefb2b95a3a461538
2018-04
1
emotet
train
[ 0.015190872363746166, 0.002128566149622202, 0.0017195019172504544, 0.001276423572562635, 0.0010410102549940348, 0.0007214568322524428, 0.0006946036010049284, 0.0006829671910963953, 0.0012504654005169868, 0.000679386721458286, 0.0007751632947474718, 0.0006462677847594023, 0.000938072858843952...
0.015190872 0.0021285661 0.0017195019 0.0012764236 0.0010410103 0.00072145683 0.0006946036 0.0006829672 0.0012504654 0.0006793867 0.0007751633 0.0006462678 0.00093807286 0.00084587676 0.0006534286 0.0011904932 0.0017463551 0.00062120473 0.000980143 0.00069102313 0.00079575076 0.00071787636 0.0005657081 0.00057376403 0....
1
feeb883645c219185bbbc48e160515a1fa8cdf8b12b528985a5b8d6cd99709b6
2018-04
1
adposhel
train
[ 0.041673194617033005, 0.027103107422590256, 0.005081482697278261, 0.005333318375051022, 0.006500156596302986, 0.004177672788500786, 0.005140244495123625, 0.0044742790050804615, 0.006284697446972132, 0.0037607450503855944, 0.004225241951644421, 0.003615239867940545, 0.005406070966273546, 0....
0.041673195 0.027103107 0.0050814827 0.0053333184 0.0065001566 0.004177673 0.0051402445 0.004474279 0.0062846974 0.003760745 0.004225242 0.0036152399 0.005406071 0.0035396894 0.0043175817 0.0044938666 0.0056075393 0.003371799 0.003195514 0.003212303 0.0045134537 0.0032570737 0.0031563395 0.003534093 0.0044295085 0.0030...
1
800ce59d17b5c83c2e8b212d2d87cd54cf7ec875beafa5d300902f4a1a44a918
2018-04
1
darkkomet
train
[ 0.01513716671615839, 0.002112454269081354, 0.00166758568957448, 0.0012629969278350472, 0.001049961312673986, 0.0007268274785019457, 0.0006946036010049284, 0.000628365611191839, 0.001154688885435462, 0.0006382117862813175, 0.0006704356637783349, 0.0006238900823518634, 0.0009801429696381092, ...
0.015137167 0.0021124543 0.0016675857 0.0012629969 0.0010499613 0.0007268275 0.0006946036 0.0006283656 0.0011546889 0.0006382118 0.00067043566 0.0006238901 0.000980143 0.0008047018 0.0006203096 0.0012012345 0.001753516 0.0005594423 0.0007859046 0.00068923295 0.00077605835 0.0007116106 0.0005845053 0.0005952466 0.000726...
1
cd0385233faa71cc338557afcd2ed08f3c0ed3d815e8aeac20e6a765fcc43a39
2018-04
1
adposhel
train
[ 0.12866277992725372, 0.010321216657757759, 0.00626825075596571, 0.006041687447577715, 0.013140670955181122, 0.004657134413719177, 0.0038767496589571238, 0.004732655361294746, 0.018779579550027847, 0.0018880274146795273, 0.001132816425524652, 0.0015607692766934633, 0.013090323656797409, 0.0...
0.12866278 0.010321217 0.0062682508 0.0060416874 0.013140671 0.0046571344 0.0038767497 0.0047326554 0.01877958 0.0018880274 0.0011328164 0.0015607693 0.013090324 0.0023159801 0.0017621589 0.016262209 0.010849864 0.0014600746 0.0009062532 0.0007048636 0.005739603 0.0051606083 0.001082469 0.0009062532 0.0036250127 0.0012...
1
03631d19e90355a2834b1e8faf8106012e1b945f007c93b683f81f035659bdf0
2018-04
1
nan
train
[ 0.17804694175720215, 0.012609290890395641, 0.007441182155162096, 0.008479278534650803, 0.011002926155924797, 0.004071843344718218, 0.004000250715762377, 0.0037720482796430588, 0.013535523787140846, 0.0021835819352418184, 0.0025639189407229424, 0.002631037263199687, 0.007714129518717527, 0....
0.17804694 0.012609291 0.007441182 0.008479279 0.011002926 0.0040718433 0.0040002507 0.0037720483 0.013535524 0.002183582 0.002563919 0.0026310373 0.0077141295 0.002223853 0.0016511101 0.016707981 0.008796971 0.0016600592 0.0019151088 0.0013468405 0.0041165887 0.0036601846 0.0011186383 0.0007785723 0.0028995106 0.00135...
-1
e71dc45935d2bf0405a4c92d10bc4351dfaa5b81129783bf50cfca811ce936ba
2018-04
-1
nan
train
[ 0.19882550835609436, 0.02335011214017868, 0.009857382625341415, 0.013982103206217289, 0.013492729514837265, 0.005732662044465542, 0.017477627843618393, 0.00461409380659461, 0.004264541435986757, 0.005802572704851627, 0.006082214880734682, 0.004334452096372843, 0.002726510167121887, 0.00566...
0.19882551 0.023350112 0.009857383 0.013982103 0.0134927295 0.005732662 0.017477628 0.004614094 0.0042645414 0.0058025727 0.006082215 0.004334452 0.0027265102 0.005662752 0.002307047 0.002586689 0.0039149886 0.0019574943 0.0014681208 0.009298098 0.0020973154 0.002866331 0.0018176733 0.002027405 0.0016778524 0.001258389...
-1
dd54ec519f538cc9181c29370c763e4aafa6063fa7bc7df654a7a0b4240ca5da
2018-04
-1
nan
train
[ 0.18078184127807617, 0.012749098241329193, 0.007505883928388357, 0.008550891652703285, 0.011127064004540443, 0.0040709879249334335, 0.003971030469983816, 0.0037711160257458687, 0.013671431690454483, 0.0022036039736121893, 0.002553454367443919, 0.002603433094918728, 0.007769407704472542, 0....
0.18078184 0.012749098 0.007505884 0.008550892 0.011127064 0.004070988 0.0039710305 0.003771116 0.013671432 0.002203604 0.0025534544 0.002603433 0.0077694077 0.0021808865 0.0016038602 0.016883695 0.008846221 0.0016220342 0.0018719274 0.0013130753 0.0041027926 0.0036575282 0.0010813562 0.00074059266 0.0029169356 0.00134...
0
93938d03604d8e109b7527cf1257b419b49c53b52295ccfa820b2e77d41a11fa
2018-04
0
nan
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
82c84f036921e69901ba93f49b83f302b6c348003e0f5c2aec3ba68dac15433f
2018-04
-1
nan
train
[ 0.01262693852186203, 0.025287073105573654, 0.003235885174944997, 0.0033706517424434423, 0.003488572547212243, 0.0033825428690761328, 0.0032983138225972652, 0.0032859272323548794, 0.0032398488838225603, 0.0032125983852893114, 0.0032215167302638292, 0.0031962478533387184, 0.0031898068264126778...
0.0126269385 0.025287073 0.0032358852 0.0033706517 0.0034885725 0.0033825429 0.0032983138 0.0032859272 0.003239849 0.0032125984 0.0032215167 0.0031962479 0.0031898068 0.0033012866 0.0031635473 0.0032076437 0.003187825 0.0032844408 0.0032066528 0.0032051664 0.0031972388 0.003205662 0.0032180485 0.0031903023 0.0031754384...
-1
8e5b23be841beb220456607d91589e2e25e30ed3988a98330d730dc0749b9aa6
2018-04
-1
nan
train
[ 0.8060592412948608, 0.001479058526456356, 0.00115942710544914, 0.0011092574568465352, 0.0013835181016474962, 0.0007142990361899137, 0.0007633052882738411, 0.0007768292562104762, 0.0015632561407983303, 0.0006206490797922015, 0.0006171590066514909, 0.0006161410710774362, 0.001064904616214335, ...
0.80605924 0.0014790585 0.0011594271 0.0011092575 0.0013835181 0.00071429904 0.0007633053 0.00077682926 0.0015632561 0.0006206491 0.000617159 0.0006161411 0.0010649046 0.0006077067 0.0006271929 0.0012820155 0.0011358692 0.00066020305 0.00056000927 0.0005271445 0.000774648 0.0007984967 0.00055521046 0.0005355788 0.00071...
1
a652b2ff8c818f56e11a9f873f7ab703ab357faf07746799b91ecd0cd9eb6a1a
2018-04
1
sohanad
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
c7fbbedc84d2236635475503192003d58dab7a1ccbd0815afeb55ac213b6f87a
2018-04
-1
vtflooder
train
[ 0.17968234419822693, 0.012704174034297466, 0.0074942889623343945, 0.008541683666408062, 0.01107439212501049, 0.0040902565233409405, 0.003954817540943623, 0.003801319980993867, 0.013625158928334713, 0.0022031404078006744, 0.0025597962085157633, 0.002609457354992628, 0.007733564358204603, 0....
0.17968234 0.012704174 0.007494289 0.008541684 0.011074392 0.0040902565 0.0039548175 0.00380132 0.013625159 0.0022031404 0.0025597962 0.0026094574 0.0077335644 0.0022166842 0.0016388114 0.016812488 0.008817076 0.0016342967 0.0018961454 0.0013408457 0.004072198 0.0036523372 0.0010970555 0.00073137035 0.0029254814 0.0013...
0
8f3a0ec0b030436d95e760c4250c0e8dd67ac57cdc05cdb230999f80dfa1f2ad
2018-04
0
nan
train
[ 0.015155963599681854, 0.0020659086294472218, 0.0016541590448468924, 0.0011931785847991705, 0.0010669684270396829, 0.0007286176551133394, 0.0006954986602067947, 0.0006946036010049284, 0.0011457378277555108, 0.0006167292012833059, 0.0006767014274373651, 0.0007223518914543092, 0.000909429450985...
0.015155964 0.0020659086 0.001654159 0.0011931786 0.0010669684 0.00072861766 0.00069549866 0.0006946036 0.0011457378 0.0006167292 0.0006767014 0.0007223519 0.00090942945 0.0007518905 0.00062209985 0.0012289828 0.0016738514 0.0006543237 0.00081991864 0.00064447755 0.0007518905 0.0008593034 0.00059972215 0.000506631 0.00...
1
509fb64d123097802762209e10adc6fa4d8d2860714d631292e50a57cbc6eb10
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 0.00255676 0.002761301 0.001534056 0....
-1
a2cbb2972fd3372983f0515e82d954c19bbe0512634d70425140519e69b07103
2018-04
-1
vtflooder
train
[ 0.03550606220960617, 0.006716418080031872, 0.006133395712822676, 0.005072294734418392, 0.005008162464946508, 0.004040345083922148, 0.005497901234775782, 0.004792443942278624, 0.003853777889162302, 0.004594216588884592, 0.006331623066216707, 0.003929570782929659, 0.004005363676697016, 0.003...
0.035506062 0.006716418 0.0061333957 0.0050722947 0.0050081625 0.004040345 0.0054979012 0.004792444 0.003853778 0.0045942166 0.006331623 0.003929571 0.0040053637 0.0039412314 0.004635028 0.004582556 0.0033523787 0.0037896456 0.0045417445 0.0042152517 0.003439832 0.0035564366 0.0029092818 0.0037430038 0.0041569495 0.003...
-1
aa46b77f0df9675132c78ea02ddc4b325f3489460f528d53d23e1f0a1421a3ff
2018-04
-1
nan
train
[ 0.18018890917301178, 0.012719270773231983, 0.0075120218098163605, 0.008530831895768642, 0.011098231188952923, 0.004079766105860472, 0.003980149049311876, 0.0037990272976458073, 0.013661103323101997, 0.0022187407594174147, 0.002535703592002392, 0.0026353206485509872, 0.007756536360830069, 0...
0.18018891 0.012719271 0.007512022 0.008530832 0.011098231 0.004079766 0.003980149 0.0037990273 0.013661103 0.0022187408 0.0025357036 0.0026353206 0.0077565364 0.0021734603 0.0016029269 0.01683979 0.0088477945 0.0016346233 0.0019153618 0.0013403004 0.00409335 0.0036767703 0.001073146 0.00073354284 0.002907003 0.0013403...
0
7050500aa5e522b42af2260bda02fc7661da0c14e5083e3bfbfef60286d7695d
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
6d1804c0136bf60b45ab21d7f1e0e0529951b532045a49395293915564f62ab4
2018-04
1
vtflooder
train
[ 0.012544527649879456, 0.00393053749576211, 0.003924465738236904, 0.0036613503471016884, 0.003879938507452607, 0.0037736804224550724, 0.0038090997841209173, 0.003857674775645137, 0.004012508317828178, 0.003949765115976334, 0.0037240933161228895, 0.003870830638334155, 0.003840471152216196, 0...
0.012544528 0.0039305375 0.0039244657 0.0036613503 0.0038799385 0.0037736804 0.0038090998 0.0038576748 0.0040125083 0.003949765 0.0037240933 0.0038708306 0.0038404712 0.0038182077 0.003802016 0.0038161837 0.0038779145 0.0038050518 0.0038829744 0.0037129615 0.0037838002 0.003690698 0.003853627 0.0037615367 0.003845531 0...
0
619cc2f2504cb40956a6fb815ec7d8600a71792edc67f7b7026c9f4eab0b5585
2018-04
0
nan
train
[ 0.1813172847032547, 0.012769913300871849, 0.007501526735723019, 0.008572522550821304, 0.01115658413618803, 0.004074340686202049, 0.00396951986476779, 0.0037826653569936752, 0.013713301159441471, 0.0021875654347240925, 0.0025339301209896803, 0.0026205212343484163, 0.007774972356855869, 0.00...
0.18131728 0.012769913 0.0075015267 0.008572523 0.011156584 0.0040743407 0.00396952 0.0037826654 0.013713301 0.0021875654 0.0025339301 0.0026205212 0.0077749724 0.0021784506 0.0015950998 0.016930846 0.00885964 0.0016087721 0.001873103 0.001298867 0.004097128 0.0036687297 0.0010573233 0.0006972865 0.0029304263 0.0013262...
0
fa962b4246d5b51ebbcec44777eff78d63787bd4402c45411f07fdced649880c
2018-04
0
nan
train
[ 0.14708435535430908, 0.005559381563216448, 0.00792024377733469, 0.0021358672529459, 0.004386872984468937, 0.0023312855046242476, 0.0017534815706312656, 0.0014492630725726485, 0.005138968583196402, 0.001077440450899303, 0.0012633517617359757, 0.001190466107800603, 0.002459099516272545, 0.00...
0.14708436 0.0055593816 0.007920244 0.0021358673 0.004386873 0.0023312855 0.0017534816 0.0014492631 0.0051389686 0.0010774405 0.0012633518 0.0011904661 0.0024590995 0.0011577203 0.001035188 0.0021453742 0.0040646973 0.0010700463 0.001159833 0.0007637152 0.0019119288 0.0013468006 0.00081969984 0.0009718091 0.0016066539 ...
1
5774b6a56f51f2331f8c9cced3de74e3aaf15c5fe3c494c8de7edf70f1187a11
2018-04
1
fareit
train
[ 0.170530766248703, 0.012273895554244518, 0.010106425732374191, 0.008143817074596882, 0.007754961960017681, 0.004045352339744568, 0.009512711316347122, 0.005180934444069862, 0.004666255321353674, 0.0036647175438702106, 0.007067669648677111, 0.0030235815793275833, 0.002926209941506386, 0.002...
0.17053077 0.012273896 0.010106426 0.008143817 0.007754962 0.0040453523 0.009512711 0.0051809344 0.0046662553 0.0036647175 0.0070676696 0.0030235816 0.00292621 0.002781417 0.0030191557 0.0025367232 0.0029072415 0.0046289507 0.00431597 0.0033397237 0.002583512 0.003329607 0.0034358308 0.00310894 0.0032056794 0.002758022...
0
b39501b271dbaef2031be6f5a9ee795c6c22a04d3839ded908a77e5bdfeae747
2018-04
0
nan
train
[ 0.4350088834762573, 0.008427174761891365, 0.0042228479869663715, 0.005185953341424465, 0.009908875450491905, 0.003056008368730545, 0.005056304857134819, 0.002092902548611164, 0.005760112777352333, 0.002759668044745922, 0.0014631797093898058, 0.0016483924118801951, 0.004500666633248329, 0.0...
0.43500888 0.008427175 0.004222848 0.0051859533 0.009908875 0.0030560084 0.005056305 0.0020929025 0.005760113 0.002759668 0.0014631797 0.0016483924 0.0045006666 0.0027967107 0.001555786 0.0015372648 0.019484367 0.001203882 0.0008334568 0.0014446585 0.0032597422 0.0020558601 0.0015743073 0.0009445844 0.0035746037 0.0013...
0
ae47585d7307e2c78232916031cc46085455029ea3368e020d8943090585dd43
2018-04
0
nan
train
[ 0.30919715762138367, 0.002794715343043208, 0.0045731705613434315, 0.0030487803742289543, 0.004319105762988329, 0.009146341122686863, 0.0035569106694310904, 0.0030487803742289543, 0.003302845638245344, 0.0038109757006168365, 0.0030487803742289543, 0.0007621950935572386, 0.0007621950935572386,...
0.30919716 0.0027947153 0.0045731706 0.0030487804 0.0043191058 0.009146341 0.0035569107 0.0030487804 0.0033028456 0.0038109757 0.0030487804 0.0007621951 0.0007621951 0.004827236 0.0012703252 0.0030487804 0.0027947153 0.0 0.0007621951 0.0010162601 0.0007621951 0.0035569107 0.00050813006 0.00025406503 0.0022865853 0.0 0....
0
0767d9b143a7df878137beeef30293956c9e1976034046402be67142405aca1a
2018-04
0
nan
train
[ 0.17363925278186798, 0.010822176933288574, 0.0028073806315660477, 0.003985379822552204, 0.003721155459061265, 0.0018936058040708303, 0.004612911958247423, 0.001530297682620585, 0.0012110269162803888, 0.0018715871265158057, 0.0018825964070856571, 0.001321120304055512, 0.0007376255234703422, ...
0.17363925 0.010822177 0.0028073806 0.00398538 0.0037211555 0.0018936058 0.004612912 0.0015302977 0.0012110269 0.0018715871 0.0018825964 0.0013211203 0.0007376255 0.0018055311 0.00084771885 0.0008367095 0.0009688216 0.00074863486 0.0006385415 0.002620222 0.0007045975 0.0008036815 0.00090276555 0.0007816629 0.0006935881...
0
fcf84e732f3968e657e5135cba7937b7656ecb5d82b384032882d8e8a0ef7533
2018-04
0
nan
train
[ 0.351425439119339, 0.0071271928027272224, 0.012061403132975101, 0.003837719326838851, 0.009320175275206566, 0.003837719326838851, 0.00657894741743803, 0.004934210330247879, 0.0071271928027272224, 0.0005482456181198359, 0.0010964912362396717, 0.0021929824724793434, 0.007675438653677702, 0, ...
0.35142544 0.007127193 0.012061403 0.0038377193 0.009320175 0.0038377193 0.0065789474 0.0049342103 0.007127193 0.0005482456 0.0010964912 0.0021929825 0.0076754387 0.0 0.0016447369 0.007127193 0.0076754387 0.002741228 0.0005482456 0.0 0.0038377193 0.0016447369 0.0005482456 0.0010964912 0.0049342103 0.0005482456 0.001644...
0
86fe1e9a39a3215b31e89459a99df8ae83c06755a9d81feb5284b76fc4b19803
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 0.003068112 0.0034771936 0.0024544897 0.002761301 0.001534056 0...
-1
bff0a9af9d6a7149800158e338bbf1b216eafb5e3dabda5a81c15a038e968c54
2018-04
-1
vtflooder
train
[ 0.042253490537405014, 0.003682927694171667, 0.0024688486009836197, 0.001144639914855361, 0.0027598736342042685, 0.000726236030459404, 0.0018262049416080117, 0.00110571866389364, 0.00328973401337862, 0.002029657131060958, 0.0021946304477751255, 0.0008929783944040537, 0.002470617648214102, 0...
0.04225349 0.0036829277 0.0024688486 0.0011446399 0.0027598736 0.00072623603 0.0018262049 0.0011057187 0.003289734 0.0020296571 0.0021946304 0.0008929784 0.0024706176 0.0004719207 0.00035338767 0.0020548676 0.0029911902 0.0008810366 0.0009725901 0.001195503 0.0018239935 0.0005117266 0.0011707349 0.0003272927 0.00073508...
1
c824381e3dc72cc22619397a22ceeccb1fc254277e008c11221ae8dbda4e10c8
2018-04
1
fareit
train
[ 0.09393041580915451, 0.006494639907032251, 0.002618206199258566, 0.00292575778439641, 0.003985075745731592, 0.0017548114992678165, 0.0016213631024584174, 0.0012609836412593722, 0.00514545664191246, 0.0006495558773167431, 0.0007889760890975595, 0.0008647729409858584, 0.003443013643845916, 0...
0.093930416 0.00649464 0.0026182062 0.0029257578 0.0039850757 0.0017548115 0.0016213631 0.0012609836 0.0051454566 0.0006495559 0.0007889761 0.00086477294 0.0034430136 0.00089417293 0.00069779024 0.003164403 0.0032271075 0.000672984 0.00050508254 0.0005579106 0.0014215352 0.0022222253 0.0005455075 0.0006128059 0.0011330...
-1
0007fa07899c7c7f3825f931b545ae2e28888d1911250914288dcab47bd42065
2018-04
-1
nan
train
[ 0.015113893896341324, 0.002032789634540677, 0.0016290959902107716, 0.0013068572152405977, 0.0010687585454434156, 0.0006775965448468924, 0.000682072073686868, 0.000710715539753437, 0.0011537937680259347, 0.0006229949649423361, 0.0006292607286013663, 0.0005880857352167368, 0.000962240796070545...
0.015113894 0.0020327896 0.001629096 0.0013068572 0.0010687585 0.00067759654 0.0006820721 0.00071071554 0.0011537938 0.00062299496 0.0006292607 0.00058808574 0.0009622408 0.00078321924 0.000764422 0.001155584 0.0017257676 0.00057734444 0.0008047018 0.000690128 0.00070265954 0.0006856525 0.00064805796 0.0005585472 0.000...
1
946be823fd6a74bc2dd1e0c37597cf8216df8e8d214657fb842d6e18828cffa7
2018-04
1
adposhel
train
[ 0.29333963990211487, 0.0170051958411932, 0.007085498422384262, 0.009211148135364056, 0.00938828568905592, 0.007262635976076126, 0.012340576387941837, 0.00212564948014915, 0.0037789323832839727, 0.005255077965557575, 0.0037789323832839727, 0.00289324508048594, 0.0022437411826103926, 0.00531...
0.29333964 0.017005196 0.0070854984 0.009211148 0.009388286 0.007262636 0.012340576 0.0021256495 0.0037789324 0.005255078 0.0037789324 0.002893245 0.0022437412 0.005314124 0.0027161078 0.0022437412 0.0027751536 0.0014761455 0.0015942372 0.0039560697 0.0040741614 0.0028341992 0.002598016 0.002657062 0.0022437412 0.00094...
0
fcf5babcf63453b3b40bd2fbc48e4b29e9c832aac7ed4cd55ddf238a3a6f3aa3
2018-04
0
nan
train
[ 0.010530664585530758, 0.004011615179479122, 0.003915703855454922, 0.00412558950483799, 0.003981086425483227, 0.0037877371069043875, 0.0038061817176640034, 0.003915194887667894, 0.003972182050347328, 0.00367923267185688, 0.003766112495213747, 0.003824117360636592, 0.003918502479791641, 0.00...
0.010530665 0.004011615 0.003915704 0.0041255895 0.0039810864 0.003787737 0.0038061817 0.003915195 0.003972182 0.0036792327 0.0037661125 0.0038241174 0.0039185025 0.0037737447 0.0037859562 0.00448036 0.003904001 0.0037472865 0.003701239 0.003775144 0.0038112698 0.003808344 0.003790154 0.0038528652 0.0037779424 0.003747...
0
da0d0bc24c204e5771f4d7334b322caed6cb0021b719741900b94d91fe01a7c4
2018-04
0
nan
train
[ 0.5478207468986511, 0.009868420660495758, 0.004543585702776909, 0.005098684225231409, 0.012541118077933788, 0.0022820723243057728, 0.0026932565961033106, 0.004173519555479288, 0.003947368357330561, 0.002528782933950424, 0.007565789390355349, 0.0027343749534338713, 0.0035156249068677425, 0....
0.54782075 0.009868421 0.0045435857 0.005098684 0.012541118 0.0022820723 0.0026932566 0.0041735196 0.0039473684 0.002528783 0.0075657894 0.002734375 0.003515625 0.0024054276 0.0015625 0.006044408 0.0056126644 0.0062911185 0.0030633223 0.0027138158 0.0026110196 0.0038034539 0.0017269737 0.0026726974 0.0021998356 0.00156...
0
f3090abb315bc78d0c8dac741d6074d2a094bd7ad4db9ce3b60f49614965c663
2018-04
0
nan
train
[ 0.2635408341884613, 0.02269868552684784, 0.006850243080407381, 0.004160458222031593, 0.006772838998585939, 0.005282814614474773, 0.002534976927563548, 0.0035025253891944885, 0.00433461694046855, 0.0019544477108865976, 0.0023414671886712313, 0.0013932697474956512, 0.0032316118013113737, 0.0...
0.26354083 0.022698686 0.006850243 0.004160458 0.006772839 0.0052828146 0.002534977 0.0035025254 0.004334617 0.0019544477 0.0023414672 0.0013932697 0.0032316118 0.0023801692 0.00089014455 0.020821642 0.0039088954 0.0011417072 0.00075468776 0.00071598584 0.0024769239 0.0026123808 0.000638582 0.00065793295 0.0020899046 0...
0
20b7c4a287594f14a43145f054305c6448d9eaf2f9ba6e93127a9472b9a1f4fa
2018-04
0
nan
train
[ 0.01216940488666296, 0.004150426480919123, 0.00418355455622077, 0.003989927005022764, 0.004026196431368589, 0.003937378991395235, 0.003901109332218766, 0.004170131869614124, 0.004191550891846418, 0.003920243587344885, 0.003920529503375292, 0.004010203294456005, 0.003849418368190527, 0.0039...
0.012169405 0.0041504265 0.0041835546 0.003989927 0.0040261964 0.003937379 0.0039011093 0.004170132 0.004191551 0.0039202436 0.0039205295 0.0040102033 0.0038494184 0.0039853575 0.003800583 0.0042143976 0.003904251 0.0038531309 0.0038060092 0.003878548 0.0038245723 0.003958512 0.0038354245 0.0037905874 0.003805438 0.003...
1
7875aa6867bd9670ee3646b333b8004c6b6bfba99d8b89911024c9a219d07e62
2018-04
1
noancooe
train
[ 0.12633740901947021, 0.009944459423422813, 0.006327720358967781, 0.007120258174836636, 0.008875162340700626, 0.00403502257540822, 0.004069617483764887, 0.00394067307934165, 0.010623777285218239, 0.002720416756346822, 0.0029279859736561775, 0.0030380606185644865, 0.0065793199464678764, 0.00...
0.12633741 0.009944459 0.0063277204 0.007120258 0.008875162 0.0040350226 0.0040696175 0.003940673 0.010623777 0.0027204168 0.002927986 0.0030380606 0.00657932 0.0027455767 0.0021952032 0.012891316 0.0073058126 0.0022423782 0.0025757472 0.0020253737 0.003953253 0.0037299586 0.0019090092 0.0017297447 0.0031481353 0.00209...
0
31d38ba5779fbe43cfaf127fe9c4b313bb0af96889c5b5800c0fbaf624dafce4
2018-04
0
nan
train
[ 0.21275267004966736, 0.00669952854514122, 0.004825458861887455, 0.007321118377149105, 0.00854414701461792, 0.0025421627797186375, 0.00285373255610466, 0.0017779638292267919, 0.00823335163295269, 0.0016679067630320787, 0.0021027096081525087, 0.0009773375932127237, 0.008220176212489605, 0.00...
0.21275267 0.0066995285 0.004825459 0.0073211184 0.008544147 0.0025421628 0.0028537326 0.0017779638 0.008233352 0.0016679068 0.0021027096 0.0009773376 0.008220176 0.0020066034 0.0011548239 0.0075768847 0.00437593 0.00085255457 0.0011168465 0.0006611173 0.00382797 0.0012989831 0.0006192646 0.0007921007 0.003049045 0.001...
-1
26327baa83da0f082e9ce33cc2b639499c5ba9481016be87fad6547529bc74e6
2018-04
-1
nan
train
[ 0.020814137533307076, 0.003929690923541784, 0.0034487168304622173, 0.003745635971426964, 0.004057024605572224, 0.0034889427479356527, 0.003517882199957967, 0.003708882723003626, 0.003912037704139948, 0.003475341247394681, 0.0034510320983827114, 0.0036643159110099077, 0.003944450058043003, ...
0.020814138 0.003929691 0.0034487168 0.003745636 0.0040570246 0.0034889427 0.0035178822 0.0037088827 0.0039120377 0.0034753412 0.003451032 0.003664316 0.00394445 0.0036472417 0.0035960188 0.0043339753 0.0036735767 0.0034924156 0.003472158 0.0037045418 0.003753739 0.0035526096 0.0036452159 0.0036999115 0.003728851 0.003...
-1
b68c8a3cf447f5ccdf25d283da9b83d23113d26983d3327ad4359bee44474d5d
2018-04
-1
cheatengine
train
[ 0.015162229537963867, 0.0021697410847991705, 0.0017177116824313998, 0.0013829413801431656, 0.0010920313652604818, 0.0007035546586848795, 0.0007241421262733638, 0.0006444775499403477, 0.0011000873055309057, 0.0007393589476123452, 0.000750100240111351, 0.0006319460226222873, 0.0009201707434840...
0.01516223 0.002169741 0.0017177117 0.0013829414 0.0010920314 0.00070355466 0.0007241421 0.00064447755 0.0011000873 0.00073935895 0.00075010024 0.000631946 0.00092017074 0.00085661805 0.00060777814 0.0011197798 0.0017329286 0.00063015585 0.000781429 0.00072503724 0.00076084153 0.000690128 0.00056660315 0.00060777814 0....
1
867224711a093b1a81a5ebad8403749b1f5b4435b2e50a117c1993f66e9cff7d
2018-04
1
adposhel
train
[ 0.2590775787830353, 0.022238992154598236, 0.01025390625, 0.007938269525766373, 0.01400479394942522, 0.002027106937021017, 0.0018495501717552543, 0.0031368371564894915, 0.008715080097317696, 0.0016202059341594577, 0.0030628552194684744, 0.0013316761469468474, 0.006125710438936949, 0.0014056...
0.25907758 0.022238992 0.010253906 0.0079382695 0.014004794 0.002027107 0.0018495502 0.0031368372 0.00871508 0.0016202059 0.0030628552 0.0013316761 0.0061257104 0.0014056582 0.0024414062 0.0074277935 0.0073834043 0.0013390743 0.0010579427 0.00075461646 0.0045942827 0.003351385 0.0007694129 0.0009839607 0.0034327651 0.0...
0
a11d371bf4dfd209b05b0bf351122f7d5522b778bd2ec8d206626477c57c24ab
2018-04
0
nan
train
[ 0.1622544676065445, 0.007500442210584879, 0.003993983380496502, 0.003469297429546714, 0.006423641927540302, 0.0025384887121617794, 0.0021359052043408155, 0.001893470180220902, 0.007127942051738501, 0.0017687134677544236, 0.0015227393014356494, 0.0012838435359299183, 0.005044240038841963, 0...
0.16225447 0.007500442 0.0039939834 0.0034692974 0.006423642 0.0025384887 0.0021359052 0.0018934702 0.007127942 0.0017687135 0.0015227393 0.0012838435 0.00504424 0.0015342417 0.001057335 0.006862502 0.0046460805 0.0015015042 0.0011511237 0.0010493718 0.002595116 0.002458857 0.0009290391 0.0006131658 0.0020695452 0.0008...
-1
68da9d21a55c3f430973afa148680ae5ea86c05a2f153a8968bad4230e4abe04
2018-04
-1
zusy
train
[ 0.016497228294610977, 0.003809219691902399, 0.0038248698692768812, 0.0036975827533751726, 0.0038666031323373318, 0.003193651558831334, 0.003197824815288186, 0.0037685297429561615, 0.0030413244385272264, 0.0034544854424893856, 0.004696055315434933, 0.0031832181848585606, 0.003072624560445547,...
0.016497228 0.0038092197 0.0038248699 0.0036975828 0.0038666031 0.0031936516 0.0031978248 0.0037685297 0.0030413244 0.0034544854 0.0046960553 0.0031832182 0.0030726246 0.0038499099 0.0039354633 0.0036162026 0.003189478 0.0035859458 0.0036600227 0.0033397186 0.0037800064 0.003916683 0.0035421257 0.003189478 0.0035035224...
-1
8484bb00ef88c65aefed20d16e658aeb2fe693e967242dfb39321509fae5639b
2018-04
-1
nan
train
[ 0.21809163689613342, 0.007856390438973904, 0.00537658017128706, 0.0016239465912804008, 0.008119733072817326, 0.0011192064266651869, 0.0010533707682043314, 0.0012289326405152678, 0.010709269903600216, 0.001580056152306497, 0.0022823032923042774, 0.0006364115397445858, 0.009173103608191013, ...
0.21809164 0.00785639 0.00537658 0.0016239466 0.008119733 0.0011192064 0.0010533708 0.0012289326 0.01070927 0.0015800562 0.0022823033 0.00063641154 0.009173104 0.0024139746 0.00041695926 0.007900281 0.004608497 0.000680302 0.0005266854 0.00059252104 0.0021067415 0.007790555 0.00065835676 0.00037306882 0.0021067415 0.00...
1
cfec5eae1c97c6030b10036a8d15dd755a6eb5e1487c5ad28c9d1618cf934e1a
2018-04
1
phorpiex
train
[ 0.1410348266363144, 0.008790257386863232, 0.004627122078090906, 0.003942891024053097, 0.017902716994285583, 0.002171377884224057, 0.003594801528379321, 0.0029360598418861628, 0.012308192439377308, 0.0016265420708805323, 0.0015727754216641188, 0.0016811053501442075, 0.00804270152002573, 0.0...
0.14103483 0.008790257 0.004627122 0.003942891 0.017902717 0.002171378 0.0035948015 0.0029360598 0.012308192 0.0016265421 0.0015727754 0.0016811054 0.0080427015 0.001724517 0.0018659035 0.010818257 0.010684039 0.002221162 0.0010876803 0.0010112121 0.0071159224 0.010194962 0.000904077 0.00091722 0.005257188 0.001236634 ...
-1
5b13a310348e24a54a2ac32c1cc85dfbdd999840805a60381547dd89742d9ad4
2018-04
-1
nan
train
[ 0.06032366305589676, 0.00743786059319973, 0.004859305452555418, 0.005542077589780092, 0.005890727508813143, 0.0033557533752173185, 0.00325406389310956, 0.004706771112978458, 0.0037407209165394306, 0.0036971396766602993, 0.0032322732731699944, 0.0039005186408758163, 0.0034937607124447823, 0...
0.060323663 0.0074378606 0.0048593055 0.0055420776 0.0058907275 0.0033557534 0.003254064 0.004706771 0.003740721 0.0036971397 0.0032322733 0.0039005186 0.0034937607 0.003159638 0.0028545696 0.009144791 0.003363017 0.003021631 0.0029344684 0.0035300783 0.0040385257 0.0033266994 0.0027020352 0.0034937607 0.0031160568 0.0...
1
c1d24c765cbdb9af2a4ceceea573c6150e42fffaec74ebdae519d16c225d45c6
2018-04
1
byfh
train
[ 0.8877478241920471, 0.002996638650074601, 0.0018417321844026446, 0.0018700133077800274, 0.0013534509344026446, 0.0006250692531466484, 0.00045018838136456907, 0.00063661253079772, 0.0005962110008113086, 0.00035553338238969445, 0.0005148308118805289, 0.0003393727820366621, 0.000333601143211126...
0.8877478 0.0029966387 0.0018417322 0.0018700133 0.0013534509 0.00062506925 0.00045018838 0.00063661253 0.000596211 0.00035553338 0.0005148308 0.00033937278 0.00033360114 0.00032378934 0.0003491846 0.00046865764 0.0014157847 0.00064642436 0.00023548315 0.00027299885 0.00032090352 0.00026318704 0.00021989971 0.000184115...
0
399a1ae6fe87b0b39a7695699bd4cecd06bc6ec411f3d930a65c7de820d7ca6d
2018-04
0
nan
train
[ 0.026828480884432793, 0.008196793496608734, 0.005207504611462355, 0.007125981617718935, 0.009462031535804272, 0.00475973729044199, 0.005214869510382414, 0.006958805490285158, 0.009006163105368614, 0.004870942793786526, 0.0036624129861593246, 0.0042132847011089325, 0.007427929900586605, 0.0...
0.02682848 0.0081967935 0.0052075046 0.0071259816 0.009462032 0.0047597373 0.0052148695 0.0069588055 0.009006163 0.004870943 0.003662413 0.0042132847 0.00742793 0.0046573696 0.0045373267 0.010486446 0.008693904 0.0047184955 0.0026195862 0.0042037107 0.0053341757 0.004093978 0.002835369 0.0040225415 0.0053061903 0.00371...
0
51b2401a3d48382498f2ad5036c480e77cff8235e0c009dcb8887692ca8081df
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
c8da1e41ada42f341d19e56adc2fae40576b9e7c425abc1306033be2c69ddf7b
2018-04
1
vtflooder
train
[ 0.3238760828971863, 0.004545869771391153, 0.0019188596634194255, 0.002170138992369175, 0.003003929043188691, 0.15245796740055084, 0.0009365862351842225, 0.001107912976294756, 0.0013820357853546739, 0.0008452119654975832, 0.0018960160668939352, 0.00069672882091254, 0.0005710891564376652, 0....
0.32387608 0.00454587 0.0019188597 0.002170139 0.003003929 0.15245797 0.00093658624 0.001107913 0.0013820358 0.00084521197 0.0018960161 0.0006967288 0.00057108916 0.0019645467 0.00074241596 0.005448191 0.0006967288 0.00046829312 0.0007766813 0.0005596674 0.0006396199 0.000525402 0.0005368238 0.00035407528 0.00074241596...
-1
5f76bee0d31e21adafec00d94f50453dc165dcfa95b465390367a4c8efa1605a
2018-04
-1
nan
train
[ 0.10456552356481552, 0.008260251954197884, 0.005905694328248501, 0.0027173913549631834, 0.004423480946570635, 0.0027637104503810406, 0.007380187977105379, 0.002408596919849515, 0.003983448725193739, 0.0008414649055339396, 0.006577322259545326, 0.0013278161641210318, 0.0012660573702305555, ...
0.10456552 0.008260252 0.0059056943 0.0027173914 0.004423481 0.0027637105 0.007380188 0.002408597 0.0039834487 0.0008414649 0.0065773223 0.0013278162 0.0012660574 0.0012969368 0.0019068058 0.00077970605 0.002177001 0.002400877 0.0020380435 0.0010267416 0.0009572628 0.0012428977 0.001999444 0.0014204546 0.0009263834 0.0...
-1
fbfffc2fb6a0b103c8af62dd236fd36fa9b213f7ea15c323a0c2c1646f1ae125
2018-04
-1
nan
train
[ 0.060336437076330185, 0.007444907911121845, 0.004851900972425938, 0.005541916470974684, 0.00589781953021884, 0.0033556560520082712, 0.0032539693638682365, 0.00470663420855999, 0.0037406121846288443, 0.0036897689569741488, 0.003232179442420602, 0.003900405252352357, 0.003493659198284149, 0....
0.060336437 0.007444908 0.004851901 0.0055419165 0.0058978195 0.003355656 0.0032539694 0.004706634 0.0037406122 0.003689769 0.0032321794 0.0039004053 0.0034936592 0.0031595463 0.0028544865 0.009144526 0.0033629192 0.003021543 0.0029343832 0.0035299757 0.0040384084 0.0033266027 0.0027019568 0.0034936592 0.0031232296 0.0...
1
2bee21ec4caa99f5e9a91952ed5212c14481e2956493af21ed0d843331373b85
2018-04
1
byfh
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
3a9732dbc1106198af9652f67303aab24da6f773408ccc99f9b9993787a21d08
2018-04
-1
vtflooder
train
[ 0.14356793463230133, 0.00788635853677988, 0.0057515949010849, 0.005406738258898258, 0.00709933927282691, 0.004800673574209213, 0.0032887845300137997, 0.0032773890998214483, 0.006406151223927736, 0.0025466198567301035, 0.002516878303140402, 0.0026242064777761698, 0.004937177523970604, 0.002...
0.14356793 0.007886359 0.005751595 0.0054067383 0.0070993393 0.0048006736 0.0032887845 0.003277389 0.006406151 0.0025466199 0.0025168783 0.0026242065 0.0049371775 0.0026162863 0.0022996357 0.005521906 0.008908724 0.0025021692 0.0021890749 0.0021615154 0.0032739947 0.0030893222 0.0021055883 0.0021910951 0.0029876514 0.0...
-1
bce64e5d63a523b2e20b40edacc78950c0f13aca642df45b9018605150590c30
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
449730f70255e6225c13f814947641faa3f9359f015bac5c05f4f2758d3b044e
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
296ffdf6192e64afe1806a74005f607b7d5e274448f6ca6a9a3ffccb47645b30
2018-04
1
vtflooder
train
[ 0.04268398508429527, 0.002823130926117301, 0.00203939457423985, 0.0015745488926768303, 0.003189788432791829, 0.0011561434948816895, 0.0009664015378803015, 0.001965532312169671, 0.003289745654910803, 0.0011698544258251786, 0.0009049233631230891, 0.000892981537617743, 0.001610816572792828, 0...
0.042683985 0.002823131 0.0020393946 0.0015745489 0.0031897884 0.0011561435 0.00096640154 0.0019655323 0.0032897457 0.0011698544 0.00090492336 0.00089298154 0.0016108166 0.0013317323 0.00078329386 0.001195065 0.0025612956 0.0004511348 0.0014024985 0.00033613967 0.0018248846 0.0009416333 0.0011702968 0.0007571988 0.0011...
1
77ad3552aaf1b7c80aa7d770a9302e79b0bb20fc6dd6e0d1cedc4c06e4e8ba63
2018-04
1
fareit
train
[ 0.16224174201488495, 0.007500017527490854, 0.00399375706911087, 0.00346910092048347, 0.006423278246074915, 0.002538345055654645, 0.0021357841324061155, 0.0018933629617094994, 0.007127538323402405, 0.0017686133505776525, 0.0015226531540974975, 0.0012837708927690983, 0.005043954122811556, 0....
0.16224174 0.0075000175 0.003993757 0.003469101 0.0064232782 0.002538345 0.0021357841 0.001893363 0.0071275383 0.0017686134 0.0015226532 0.0012837709 0.005043954 0.0015341549 0.0010572751 0.0068621137 0.004644048 0.0015031886 0.0011510585 0.0010493124 0.002594969 0.0024587177 0.0009289865 0.0006131311 0.0020711976 0.00...
-1
c8f56fd773e23ff8e807e02c0322bc86a6994d73226bbc66a3bf86df66716ed0
2018-04
-1
zusy
train
[ 0.25693798065185547, 0.008138272911310196, 0.004828391131013632, 0.0049648224376142025, 0.005956124048680067, 0.0019402755424380302, 0.002529085148125887, 0.0016829074593260884, 0.00832648016512394, 0.000990545842796564, 0.002522660419344902, 0.0016832853434607387, 0.004897173494100571, 0....
0.25693798 0.008138273 0.004828391 0.0049648224 0.005956124 0.0019402755 0.0025290851 0.0016829075 0.00832648 0.0009905458 0.0025226604 0.0016832853 0.0048971735 0.0018182052 0.0015574358 0.0031212964 0.010172652 0.004067247 0.002184794 0.003725979 0.0036609755 0.01184082 0.00181367 0.0008095189 0.0021209244 0.00101700...
0
25dfbdd90b5698e4c77691782d2c8a2282cb3eb07b5bd0839de6c351de6b916d
2018-04
0
nan
train
[ 0.03836604580283165, 0.005209929309785366, 0.004494841210544109, 0.004312737844884396, 0.004743567667901516, 0.0038552589248865843, 0.0036020909901708364, 0.003588766558095813, 0.005032267887145281, 0.0036109741777181625, 0.003779752878472209, 0.0035710001830011606, 0.004201699513942003, 0...
0.038366046 0.0052099293 0.004494841 0.004312738 0.0047435677 0.003855259 0.003602091 0.0035887666 0.005032268 0.0036109742 0.0037797529 0.0035710002 0.0042016995 0.0038152852 0.0037797529 0.00472136 0.004294972 0.0037220127 0.003535468 0.0035621172 0.00400183 0.0049167876 0.0032823 0.0032290015 0.0038286098 0.00331339...
1
3b6c8a61029fcb49ec077ff1d853b8c950b595ebc3675ed6d93bd6c7f02ccb9f
2018-04
1
agen
train
[ 0.004733601119369268, 0.0039684707298874855, 0.003886297345161438, 0.003939765505492687, 0.003890542546287179, 0.003868609433993697, 0.0038993358612060547, 0.0038926650304347277, 0.0038712373934686184, 0.003925412893295288, 0.003916013054549694, 0.003920763731002808, 0.0038934736512601376, ...
0.004733601 0.0039684707 0.0038862973 0.0039397655 0.0038905425 0.0038686094 0.0038993359 0.003892665 0.0038712374 0.003925413 0.003916013 0.0039207637 0.0038934737 0.0038928671 0.0038829618 0.0039288495 0.0038866005 0.003916923 0.0039164172 0.0038752803 0.00393643 0.0038960006 0.0038778072 0.0039084326 0.003910454 0.0...
0
242348cbab5693a2c7e3ba9a793222e439ab524014bbb622269ef9059ddbaf28
2018-04
0
nan
train
[ 0.11172909289598465, 0.014232909306883812, 0.009858385659754276, 0.009180215187370777, 0.00544486241415143, 0.005221694707870483, 0.004140521865338087, 0.0038155203219503164, 0.006029865704476833, 0.003289017593488097, 0.0037938535679131746, 0.0032153504434973, 0.0031871837563812733, 0.003...
0.11172909 0.014232909 0.009858386 0.009180215 0.0054448624 0.0052216947 0.004140522 0.0038155203 0.0060298657 0.0032890176 0.0037938536 0.0032153504 0.0031871838 0.0038458537 0.0031156833 0.009004715 0.0059496984 0.002894682 0.0023746793 0.0026975144 0.002996516 0.0039411876 0.0025263468 0.0024288462 0.00371802 0.0026...
0
b2d512d76d6ae14ea588070285ec426e71d6dddf8baaee88330abdf07b4abeb4
2018-04
0
nan
train
[ 0.22087767720222473, 0.015634780749678612, 0.0487096831202507, 0.009503918699920177, 0.020621459931135178, 0.01602274738252163, 0.017392920330166817, 0.006287180352956057, 0.011091192252933979, 0.007215716410428286, 0.06416745483875275, 0.0030272805597633123, 0.004699098411947489, 0.003170...
0.22087768 0.01563478 0.048709683 0.009503919 0.02062146 0.016022747 0.01739292 0.0062871804 0.011091192 0.0072157164 0.064167455 0.0030272806 0.0046990984 0.0031709904 0.009251578 0.0025494336 0.0027046206 0.006187602 0.009115143 0.0060377494 0.0039121704 0.0012730195 0.009731364 0.0110326735 0.0017945128 0.005485057 ...
0
8e1798f6bd826b8f0b3691e811efae168d8d9962b92ed05cad59190eeaf6b542
2018-04
0
nan
train
[ 0.16211003065109253, 0.011602597311139107, 0.007197167258709669, 0.0048476047813892365, 0.011769024655222893, 0.003335073823109269, 0.010112909600138664, 0.005402362439781427, 0.019516054540872574, 0.001848649000748992, 0.0018731235759332776, 0.001625114236958325, 0.007667080033570528, 0.0...
0.16211003 0.011602597 0.0071971673 0.004847605 0.011769025 0.0033350738 0.01011291 0.0054023624 0.019516055 0.001848649 0.0018731236 0.0016251142 0.00766708 0.0026807857 0.0013134708 0.008910391 0.025017949 0.0012922595 0.0011633598 0.0011095158 0.0036434538 0.0027493148 0.0013314189 0.0008484532 0.0027819476 0.001269...
-1
54ae409423496df7b36f14fa8a385c0c94b538ff965935a0524d68adc75eeb0f
2018-04
-1
nan
train