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
[ 0.04225205257534981, 0.0032533558551222086, 0.002039317972958088, 0.001144600915722549, 0.0023298910818994045, 0.0020163198933005333, 0.0009663651580922306, 0.0011056809453293681, 0.0041498420760035515, 0.0007399216992780566, 0.0013347780331969261, 0.001753167831338942, 0.001610756036825478,...
0.042252053 0.0032533559 0.002039318 0.0011446009 0.002329891 0.00201632 0.00096636516 0.001105681 0.004149842 0.0007399217 0.001334778 0.0017531678 0.001610756 0.00047190464 0.0016434842 0.0020552399 0.0021313108 0.0013108954 0.0005426682 0.0011959046 0.0018243736 0.0018018178 0.0011706951 0.0011875014 0.0020251654 0....
1
16d7dd1440b950816cd273dd1da402039f390e4f55c9bb0c7d7c81ec47d5e22f
2018-02
1
fareit
train
[ 0.183895081281662, 0.020243966951966286, 0.00841517560184002, 0.008036297746002674, 0.0075831301510334015, 0.006255200132727623, 0.007328687701374292, 0.008001009933650494, 0.009068925864994526, 0.0018795316573232412, 0.0022119784262031317, 0.00232527032494545, 0.002273267600685358, 0.0026...
0.18389508 0.020243967 0.008415176 0.008036298 0.00758313 0.0062552 0.0073286877 0.00800101 0.009068926 0.0018795317 0.0022119784 0.0023252703 0.0022732676 0.0026187152 0.0012313533 0.018721027 0.009427374 0.0026781468 0.0010233419 0.0010567723 0.0017662398 0.0031127422 0.0011942084 0.00087476225 0.004067366 0.00194453...
-1
b62d68913414364063253fc3fa0637b2660a8305d18ab4c55ac091f1da9ddd00
2018-02
-1
nan
train
[ 0.08519116044044495, 0.01918766088783741, 0.01165162492543459, 0.006456185597926378, 0.00868691224604845, 0.004068617708981037, 0.0034210975281894207, 0.003701136913150549, 0.009704351425170898, 0.002940008183941245, 0.003546245628967881, 0.002946834545582533, 0.005080692935734987, 0.00283...
0.08519116 0.01918766 0.011651625 0.0064561856 0.008686912 0.0040686177 0.0034210975 0.003701137 0.009704351 0.0029400082 0.0035462456 0.0029468345 0.005080693 0.0028307878 0.00274806 0.0047892765 0.0063736206 0.0026828854 0.0029567487 0.0025497733 0.0039298167 0.0030350883 0.0024717588 0.0024685082 0.0036060568 0.0022...
1
e772cbf9c87498a81eeb5550424925e9e78eff356eec5db866a2bdcafa28efd8
2018-02
1
installmonster
train
[ 0.10478432476520538, 0.01654943823814392, 0.017863666638731956, 0.008556374348700047, 0.010530693456530571, 0.005107520613819361, 0.004721391946077347, 0.004920411854982376, 0.009397123008966446, 0.010235389694571495, 0.013485223986208439, 0.002829956356436014, 0.00594529090449214, 0.00257...
0.104784325 0.016549438 0.017863667 0.008556374 0.010530693 0.0051075206 0.004721392 0.004920412 0.009397123 0.01023539 0.013485224 0.0028299564 0.005945291 0.0025713793 0.0022706157 0.006343827 0.014440123 0.001600598 0.0011638456 0.0011534231 0.003770959 0.002025935 0.0011201705 0.0016477474 0.0041982816 0.0025222446...
-1
c1fca4581d314eca9beb042940dd0a7afcc92cef72ca1ef8c93d4cce89819e65
2018-02
-1
downloadadmin
train
[ 0.35495132207870483, 0.006870068144053221, 0.008753902278840542, 0.015643730759620667, 0.003102398943156004, 0.002983835991472006, 0.001613774336874485, 0.002028744900599122, 0.006132342852652073, 0.0013305405154824257, 0.0011724565410986543, 0.0015083850594237447, 0.0037018009461462498, 0...
0.35495132 0.006870068 0.008753902 0.01564373 0.003102399 0.002983836 0.0016137743 0.002028745 0.006132343 0.0013305405 0.0011724565 0.0015083851 0.003701801 0.0018179662 0.0014161693 0.0027730572 0.0036491062 0.0025556916 0.0012383248 0.0010802408 0.0023712604 0.002904794 0.0010538935 0.0010604804 0.0021143737 0.00149...
-1
6aa89cf414ac8819ddebe3b24767d9563ff3675841277d836b85adfe0203a511
2018-02
-1
tinba
train
[ 0.08887863159179688, 0.0103992884978652, 0.0059339734725654125, 0.0060178968124091625, 0.0091256033629179, 0.0049158730544149876, 0.0044157239608466625, 0.0038053723983466625, 0.008096907287836075, 0.002685546875, 0.0028300816193223, 0.0030157300643622875, 0.0065133837051689625, 0.00296359...
0.08887863 0.0103992885 0.0059339735 0.006017897 0.009125603 0.004915873 0.004415724 0.0038053724 0.008096907 0.0026855469 0.0028300816 0.00301573 0.0065133837 0.002963596 0.0026194255 0.0045695836 0.006391737 0.0038579304 0.0025605096 0.0027745564 0.0040342542 0.0034510295 0.002386729 0.0018730164 0.0034879048 0.00233...
0
08b2784bba26ea20952e7db13b5fc09339d55478ecb4dcfcce1be44563260d29
2018-02
0
nan
train
[ 0.042278192937374115, 0.010256392881274223, 0.010997519828379154, 0.012541118077933788, 0.011895326897501945, 0.00717499852180481, 0.005898337811231613, 0.008341401815414429, 0.009657026268541813, 0.004911827389150858, 0.005512023810297251, 0.007032410707324743, 0.006302061025053263, 0.005...
0.042278193 0.010256393 0.01099752 0.012541118 0.011895327 0.0071749985 0.005898338 0.008341402 0.009657026 0.0049118274 0.005512024 0.0070324107 0.006302061 0.00526664 0.0043688323 0.006233254 0.0076699117 0.0055352356 0.00375703 0.007981616 0.005609017 0.0041176453 0.0034105077 0.007528153 0.005726735 0.003985005 0.0...
-1
432053c405ae6ac9fe8023c2ef0ff85229e198940e9975c0d00ecfa109c1943c
2018-02
-1
nan
train
[ 0.2016811966896057, 0.010670383460819721, 0.007739952765405178, 0.006079692393541336, 0.010075734928250313, 0.004119729157537222, 0.004495547153055668, 0.0037058533634990454, 0.012635104358196259, 0.003682067384943366, 0.0029922742396593094, 0.0018933627288788557, 0.008881678804755211, 0.0...
0.2016812 0.010670383 0.0077399528 0.0060796924 0.010075735 0.004119729 0.004495547 0.0037058534 0.012635104 0.0036820674 0.0029922742 0.0018933627 0.008881679 0.003724882 0.0022501522 0.009319341 0.008353631 0.0029542167 0.0038105114 0.001703075 0.004543119 0.0057752323 0.0012035698 0.0015508449 0.0032824632 0.0018600...
0
141fcca2008cb6dcba51a3331f793c922dce8780211369030236f0097627914c
2018-02
0
nan
train
[ 0.23118139803409576, 0.017851686105132103, 0.00784823577851057, 0.008491883985698223, 0.008762979879975319, 0.007351225707679987, 0.0060327122919261456, 0.00358339911326766, 0.0065794228576123714, 0.00305763678625226, 0.004550308920443058, 0.004124769940972328, 0.006035176571458578, 0.0065...
0.2311814 0.017851686 0.007848236 0.008491884 0.00876298 0.0073512257 0.0060327123 0.003583399 0.006579423 0.0030576368 0.004550309 0.00412477 0.0060351766 0.0065987282 0.0063103805 0.012799849 0.007822358 0.00422869 0.004205277 0.005907433 0.004369578 0.0035608078 0.0014446143 0.0019724304 0.005500378 0.0022484555 0.0...
0
780703458f7196b7323c85c5136690c4a87331f24f05740e6589fa109e998a82
2018-02
0
nan
train
[ 0.25907376408576965, 0.005834884475916624, 0.003753183875232935, 0.002687842817977071, 0.003073569852858782, 0.002412323607131839, 0.002804173156619072, 0.0021980309393256903, 0.0022592574823647738, 0.0023021160159260035, 0.002638861769810319, 0.001934757106937468, 0.0016102566150948405, 0...
0.25907376 0.0058348845 0.0037531839 0.0026878428 0.0030735699 0.0024123236 0.0028041732 0.002198031 0.0022592575 0.002302116 0.0026388618 0.0019347571 0.0016102566 0.0021735404 0.001812304 0.0014878036 0.0018612853 0.0023817103 0.0023939558 0.002547022 0.0024184464 0.0015429076 0.0018000588 0.002038842 0.0019286344 0....
1
a9b5e750806cf1f956f13ccfa90bd7c261617f28b8db70b55224b16d9eabbae5
2018-02
1
bladabindi
train
[ 0.052127961069345474, 0.003783392021432519, 0.003761340631172061, 0.003792842850089073, 0.00382591993547976, 0.0038999496027827263, 0.0037440145388245583, 0.0037707912269979715, 0.003698336658999324, 0.003720388049259782, 0.0036573840770870447, 0.0036463583819568157, 0.003720388049259782, ...
0.05212796 0.003783392 0.0037613406 0.0037928429 0.00382592 0.0038999496 0.0037440145 0.0037707912 0.0036983367 0.003720388 0.003657384 0.0036463584 0.003720388 0.0036983367 0.0037566153 0.0036684098 0.0038952243 0.0037849674 0.003766066 0.0036920363 0.0036841608 0.0038085938 0.0036605343 0.003795993 0.0042102444 0.003...
1
7a71cfab21ee314d6b564c38268d463222991ba0d3af3641b8471ba9391510c0
2018-02
1
nymaim
train
[ 0.1752222180366516, 0.010565239936113358, 0.006017593201249838, 0.0064999195747077465, 0.007923929952085018, 0.004892165772616863, 0.0036748661659657955, 0.004111256450414658, 0.00999104231595993, 0.0028939570765942335, 0.002779117552563548, 0.002526470459997654, 0.0066377269104123116, 0.0...
0.17522222 0.01056524 0.006017593 0.0064999196 0.00792393 0.004892166 0.0036748662 0.0041112565 0.009991042 0.002893957 0.0027791176 0.0025264705 0.006637727 0.0035140908 0.0025494385 0.00847516 0.005029973 0.0027791176 0.002113048 0.0023197592 0.0039504813 0.0079698665 0.0011483957 0.0015158823 0.0030317646 0.00151588...
0
b50a36704462d085c4e1b20d811096b1b5a7579a8bb9aa672f1489b19a2970be
2018-02
0
nan
train
[ 0.5478001832962036, 0.009868420660495758, 0.004543585702776909, 0.005098684225231409, 0.012541118077933788, 0.0022820723243057728, 0.0026932565961033106, 0.004173519555479288, 0.003926809411495924, 0.002528782933950424, 0.007586348801851273, 0.0027343749534338713, 0.0035156249068677425, 0....
0.5478002 0.009868421 0.0045435857 0.005098684 0.012541118 0.0022820723 0.0026932566 0.0041735196 0.0039268094 0.002528783 0.007586349 0.002734375 0.003515625 0.0024054276 0.0015625 0.006023849 0.0056126644 0.0062911185 0.0030838817 0.0027138158 0.0026110196 0.0038034539 0.0017269737 0.0026521382 0.0021998356 0.0015625...
-1
98dc9dacb8327419b868eceab43877cf3e524172c14c83436f944be7e4178f43
2018-02
-1
nan
train
[ 0.2552766501903534, 0.008628154173493385, 0.016829295083880424, 0.005841090809553862, 0.011643809266388416, 0.002978595672175288, 0.002500091912224889, 0.00302024744451046, 0.010563486255705357, 0.001961898058652878, 0.0020520889665931463, 0.0015516114654019475, 0.006782355718314648, 0.001...
0.25527665 0.008628154 0.016829295 0.005841091 0.011643809 0.0029785957 0.002500092 0.0030202474 0.010563486 0.001961898 0.002052089 0.0015516115 0.0067823557 0.0016293396 0.0013253143 0.0040015243 0.008418911 0.0013833644 0.0022049216 0.0009779973 0.002400718 0.0017720052 0.0007812172 0.00086419284 0.0022013139 0.0007...
1
0b328d97c90064234808c20a8ca908474c61cd26ad89b87933b4d899ac734f4f
2018-02
1
soft32downloader
train
[ 0.644148588180542, 0.002089280402287841, 0.00152587890625, 0.0013451209524646401, 0.0016995943151414394, 0.0013944185338914394, 0.002093975432217121, 0.0015634390292689204, 0.0016197791555896401, 0.0012582632480189204, 0.0012253981549292803, 0.00152587890625, 0.0013451209524646401, 0.00110...
0.6441486 0.0020892804 0.0015258789 0.001345121 0.0016995943 0.0013944185 0.0020939754 0.001563439 0.0016197792 0.0012582632 0.0012253982 0.0015258789 0.001345121 0.0011009803 0.0012559157 0.0018568772 0.0012394831 0.0015939566 0.001326341 0.0019249549 0.0014836238 0.0014319787 0.0014131987 0.0013192984 0.0013521635 0....
-1
00484c8a781d99864c356271d246113d89e9f6995646015ec5a3aa6e7ec0d1ce
2018-02
-1
high
train
[ 0.3872634470462799, 0.005375143140554428, 0.0024865621235221624, 0.009499561041593552, 0.008099938742816448, 0.0032757106237113476, 0.004690221976488829, 0.0009827131871134043, 0.0033650482073426247, 0.0012060570297762752, 0.008725302293896675, 0.0010720507707446814, 0.0009231548174284399, ...
0.38726345 0.005375143 0.0024865621 0.009499561 0.008099939 0.0032757106 0.004690222 0.0009827132 0.0033650482 0.001206057 0.008725302 0.0010720508 0.0009231548 0.008635964 0.0010422715 0.0018611992 0.0018463096 0.0006551421 0.0004466878 0.0016974136 0.000878486 0.0019654264 0.00078914844 0.0006700317 0.0011762779 0.00...
-1
e67ea6a5a4710b7b333aa37503df8503b50387ce8f9187d3aa79305c95cc7ffb
2018-02
-1
nan
train
[ 0.12704603374004364, 0.00926270056515932, 0.005273639690130949, 0.004574796184897423, 0.008224534802138805, 0.0030256269965320826, 0.0024621090851724148, 0.004950474947690964, 0.009670695289969444, 0.0021793399937450886, 0.002278309315443039, 0.0021086479537189007, 0.004498044960200787, 0....
0.12704603 0.009262701 0.0052736397 0.004574796 0.008224535 0.003025627 0.002462109 0.004950475 0.009670695 0.00217934 0.0022783093 0.002108648 0.004498045 0.0018844525 0.0017632659 0.006475407 0.00681271 0.001553209 0.0015673474 0.0012179259 0.0033023364 0.002207617 0.0012058073 0.001462319 0.002625711 0.0012159061 0....
1
dc012dae31fba5e11477933890ad3ecead04af7cfb703fd818ed064db457a9ee
2018-02
1
dealply
train
[ 0.08016307651996613, 0.017997493967413902, 0.012211279012262821, 0.00567266158759594, 0.007774706464260817, 0.0038965416606515646, 0.0037008130457252264, 0.003654871368780732, 0.009338281117379665, 0.0033032880164682865, 0.0034248167648911476, 0.002888946793973446, 0.00495233153924346, 0.0...
0.08016308 0.017997494 0.012211279 0.0056726616 0.0077747065 0.0038965417 0.003700813 0.0036548714 0.009338281 0.003303288 0.0034248168 0.0028889468 0.0049523315 0.0029283005 0.002875251 0.004499157 0.006037594 0.0029730287 0.0028539272 0.0023728407 0.003745021 0.0030831152 0.0026937383 0.0026136439 0.0033766213 0.0032...
1
6654cf3f6591f4489507224c0a994f46edcf0c186d03616f7f711fe82fa756fa
2018-02
1
installmonster
train
[ 0.13734273612499237, 0.03130326792597771, 0.026214996352791786, 0.00848214328289032, 0.011003449559211731, 0.007267146836966276, 0.003918932750821114, 0.0033989448565989733, 0.007264610379934311, 0.002686181105673313, 0.003061586758121848, 0.00186941958963871, 0.003860592609271407, 0.00184...
0.13734274 0.031303268 0.026214996 0.008482143 0.01100345 0.007267147 0.0039189328 0.0033989449 0.0072646104 0.002686181 0.0030615868 0.0018694196 0.0038605926 0.0018465909 0.0016969359 0.0017628856 0.054502334 0.0020393669 0.00092075893 0.0004007711 0.0018770292 0.0039037135 0.000974026 0.0006036932 0.0015954748 0.001...
-1
61960dd414f3a0692e4e5dc694d2c6de40f6e01a15361fb438b86b3c693b59f2
2018-02
-1
nan
train
[ 0.08947283029556274, 0.011619010008871555, 0.00823630578815937, 0.007614698261022568, 0.008253859356045723, 0.004283106420189142, 0.005313612520694733, 0.005618737544864416, 0.007876970805227757, 0.0037993465084582567, 0.003622260643169284, 0.003999148961156607, 0.00621814513579011, 0.0038...
0.08947283 0.01161901 0.008236306 0.0076146983 0.008253859 0.0042831064 0.0053136125 0.0056187375 0.007876971 0.0037993465 0.0036222606 0.003999149 0.006218145 0.003883501 0.004588231 0.010392832 0.006538242 0.0034141974 0.002464748 0.003193227 0.004094662 0.0041153133 0.0021678838 0.002871065 0.0042330264 0.0026397689...
-1
d562e6b531abe87aaddd367685d4e769517612e98736efbd98ad05b0f2bbc6ad
2018-02
-1
nan
train
[ 0.16222795844078064, 0.007499380502849817, 0.00399341806769371, 0.003468806389719248, 0.00642273249104619, 0.0025381294544786215, 0.002135602757334709, 0.0018932021921500564, 0.007126932963728905, 0.0017684631748124957, 0.0015225238166749477, 0.0012836618116125464, 0.00504352618008852, 0.0...
0.16222796 0.0074993805 0.003993418 0.0034688064 0.0064227325 0.0025381295 0.0021356028 0.0018932022 0.007126933 0.0017684632 0.0015225238 0.0012836618 0.005043526 0.0015340246 0.0010571853 0.0068615307 0.0046436535 0.0015030609 0.0011509608 0.0010492232 0.0025947485 0.0024585088 0.0009289076 0.000613079 0.0020692523 0...
1
41873c970592d7d70f0e21802d0da6e1f118efbda75a640f1f152508166cf2b4
2018-02
1
zusy
train
[ 0.1622302532196045, 0.0074994866736233234, 0.0039934744127094746, 0.003468855516985059, 0.006422823294997215, 0.002538165310397744, 0.002135633025318384, 0.0018932289676740766, 0.0071270340122282505, 0.0017684882041066885, 0.0015225453535094857, 0.0012836799724027514, 0.005043597426265478, ...
0.16223025 0.0074994867 0.0039934744 0.0034688555 0.0064228233 0.0025381653 0.002135633 0.001893229 0.007127034 0.0017684882 0.0015225454 0.00128368 0.0050435974 0.0015340463 0.0010572003 0.006861628 0.004643719 0.0015030822 0.0011509771 0.0010492381 0.0025947853 0.0024585435 0.00092892075 0.0006130877 0.0020692816 0.0...
-1
0ca08149e89148ec5a7749470ebfd78cb8e94ac738f467b535b6064847d8d8dc
2018-02
-1
zusy
train
[ 0.005264151841402054, 0.003915305715054274, 0.003914813045412302, 0.003911321051418781, 0.0038868561387062073, 0.003911455627530813, 0.0038864980451762676, 0.003905479097738862, 0.0038967495784163475, 0.003904270473867655, 0.003909732215106487, 0.003891400061547756, 0.0038969286251813173, ...
0.005264152 0.0039153057 0.003914813 0.003911321 0.0038868561 0.0039114556 0.003886498 0.003905479 0.0038967496 0.0039042705 0.003909732 0.0038914 0.0038969286 0.003893974 0.003885155 0.003908098 0.0038869234 0.003884685 0.0038731128 0.0039003086 0.0039560655 0.0038876843 0.0038857146 0.0038886915 0.003890818 0.0038785...
0
72c3c6f3f823369d1b4783012a37423dcb5c2c1bded4db11fa95e3d1c3e43b17
2018-02
0
nan
train
[ 0.21804246306419373, 0.011903216131031513, 0.006288839969784021, 0.008605731651186943, 0.012101709842681885, 0.006014944985508919, 0.005686760880053043, 0.006003446411341429, 0.01360389031469822, 0.003009451786056161, 0.004495044704526663, 0.0026130296755582094, 0.008368405513465405, 0.002...
0.21804246 0.011903216 0.00628884 0.008605732 0.01210171 0.006014945 0.005686761 0.0060034464 0.01360389 0.0030094518 0.0044950447 0.0026130297 0.0083684055 0.0023023766 0.0013344133 0.0070174043 0.0063710273 0.0012865335 0.0013021793 0.0016586386 0.0035336788 0.0019749468 0.0014940754 0.0008490179 0.0028561987 0.00118...
1
034f2def233326ce0556dd61d3a1a9ee8fd487e720a6afe4bfd8571b8f7015ca
2018-02
1
qhost
train
[ 0.1777620166540146, 0.013503740541636944, 0.013987415470182896, 0.008052034303545952, 0.014114092104136944, 0.008544921875, 0.006918853148818016, 0.008759120479226112, 0.004822928924113512, 0.005465525668114424, 0.00396152725443244, 0.002515109023079276, 0.006870485842227936, 0.00523290084...
0.17776202 0.013503741 0.0139874155 0.008052034 0.014114092 0.008544922 0.006918853 0.0087591205 0.004822929 0.0054655257 0.0039615273 0.002515109 0.006870486 0.005232901 0.001768868 0.0088190045 0.002524322 0.000928195 0.0009765625 0.0008038215 0.00268785 0.0044682343 0.00081073114 0.00089825323 0.002676334 0.00065641...
0
2a5a33c2d665309a1170df117f37cdf1badf55d91343b837d5d3097730e78033
2018-02
0
nan
train
[ 0.5150923132896423, 0.024680398404598236, 0.016157669946551323, 0.006214488763362169, 0.0037286931183189154, 0.001953125, 0.002663352293893695, 0.0017755682347342372, 0.0024857954122126102, 0.0014204545877873898, 0.0030184658244252205, 0.0015980113530531526, 0.0021306818816810846, 0.000710...
0.5150923 0.024680398 0.01615767 0.0062144888 0.0037286931 0.001953125 0.0026633523 0.0017755682 0.0024857954 0.0014204546 0.0030184658 0.0015980114 0.0021306819 0.0007102273 0.0017755682 0.00035511365 0.0040838066 0.0024857954 0.0026633523 0.0007102273 0.0007102273 0.0010653409 0.0030184658 0.00035511365 0.00053267047...
-1
8501b231df87e042f4a39a07778f6cee63a50690619336973b6cdd4974f733f0
2018-02
-1
nan
train
[ 0.08519116044044495, 0.019187498837709427, 0.011652925051748753, 0.00645683566108346, 0.008685937151312828, 0.004067805130034685, 0.0034206099808216095, 0.003700324334204197, 0.009703376330435276, 0.0029388703405857086, 0.0035472209565341473, 0.0029471595771610737, 0.005080855451524258, 0....
0.08519116 0.019187499 0.011652925 0.0064568357 0.008685937 0.004067805 0.00342061 0.0037003243 0.009703376 0.0029388703 0.003547221 0.0029471596 0.0050808555 0.0028306253 0.0027485476 0.004789114 0.006372645 0.0026832104 0.0029575615 0.0025492855 0.0039291666 0.0030359009 0.0024715962 0.0024675329 0.0036052442 0.00223...
-1
798e3cedf5bca0e538db1a53da4ab9c0497c52fdd8e74f442e9cf35404702d1a
2018-02
-1
installmonster
train
[ 0.08508992195129395, 0.02205486409366131, 0.013179664500057697, 0.005650778766721487, 0.008416791446506977, 0.0036577729042619467, 0.003189431969076395, 0.003447694005444646, 0.010111506097018719, 0.0028675682842731476, 0.0032651908695697784, 0.0028064867947250605, 0.005006309598684311, 0....
0.08508992 0.022054864 0.0131796645 0.0056507788 0.008416791 0.003657773 0.003189432 0.003447694 0.010111506 0.0028675683 0.0032651909 0.0028064868 0.0050063096 0.0026563033 0.0023430383 0.0041995007 0.0061422475 0.0028195332 0.0028081175 0.0021898898 0.0050125364 0.0028548182 0.0021686894 0.0023639426 0.0034558482 0.0...
1
584b15768fde7389ad4e512d69bc29ea63c9a5715e80e7553552b48f4208fcc2
2018-02
1
installmonster
train
[ 0.312744140625, 0.0077880858443677425, 0.0030273436568677425, 0.0022460937034338713, 0.0032958984375, 0.0019775391556322575, 0.0024902343284338713, 0.0025146484840661287, 0.0029541016556322575, 0.0017578124534338713, 0.0028808594215661287, 0.0018554687267169356, 0.0023437500931322575, 0.00...
0.31274414 0.007788086 0.0030273437 0.0022460937 0.0032958984 0.0019775392 0.0024902343 0.0025146485 0.0029541017 0.0017578125 0.0028808594 0.0018554687 0.00234375 0.0025878907 0.0022460937 0.002319336 0.0049072267 0.00234375 0.0022705079 0.00234375 0.0022705079 0.0030029297 0.0025146485 0.0014648438 0.002319336 0.0019...
1
0d8eeb6227a4746e684a9edbdf723f6a0a2bd911d79571ded3ff1318d8a8bcde
2018-02
1
virut
train
[ 0.0679531916975975, 0.00606750650331378, 0.0056351423263549805, 0.004410111345350742, 0.007076355628669262, 0.005159542430192232, 0.005606318358331919, 0.004539820831269026, 0.0036174445413053036, 0.00423716614022851, 0.005390136502683163, 0.004410111345350742, 0.00415069330483675, 0.00438...
0.06795319 0.0060675065 0.0056351423 0.0044101113 0.0070763556 0.0051595424 0.0056063184 0.004539821 0.0036174445 0.004237166 0.0053901365 0.0044101113 0.0041506933 0.0043812874 0.0037183294 0.003358026 0.0033003776 0.0049721845 0.0035309717 0.005318076 0.0035021475 0.003012135 0.0033724383 0.004352463 0.0035165595 0.0...
-1
686677e19132091e5dafde4f889887c4ff8603c09130c177636d3f215fe84b47
2018-02
-1
nan
train
[ 0.12843511998653412, 0.00553935719653964, 0.00429738312959671, 0.003837674856185913, 0.005162192974239588, 0.0034452718682587147, 0.0034808292984962463, 0.003176050493493676, 0.005600312724709511, 0.0030871566850692034, 0.003164621302857995, 0.0032166875898838043, 0.004749471787363291, 0.0...
0.12843512 0.005539357 0.004297383 0.0038376749 0.005162193 0.0034452719 0.0034808293 0.0031760505 0.0056003127 0.0030871567 0.0031646213 0.0032166876 0.004749472 0.0031404928 0.0028687317 0.006440995 0.0044942196 0.0028255547 0.0029982626 0.0028471432 0.0038948208 0.0034808293 0.0031760505 0.0028420635 0.0033817762 0....
-1
83f4bf110b166a077bf60d3ca85d824751222695ac7bd4446cdc6eada635f9b6
2018-02
-1
vittalia
train
[ 0.31039848923683167, 0.006759344134479761, 0.005581724923104048, 0.0038679533172398806, 0.006338082253932953, 0.0017041972605511546, 0.0010579427471384406, 0.001124961650930345, 0.008003982715308666, 0.0007850796682760119, 0.0026903338730335236, 0.001421760069206357, 0.003963694907724857, ...
0.3103985 0.006759344 0.005581725 0.0038679533 0.0063380823 0.0017041973 0.0010579427 0.0011249617 0.008003983 0.00078507967 0.0026903339 0.0014217601 0.003963695 0.0014409084 0.0009765625 0.0027382046 0.014715456 0.005447687 0.0046626073 0.00041168812 0.0021302467 0.014466529 0.00044998468 0.0009765625 0.0021063113 0....
0
233e7061307f21480addf976fe830e6f820d75e7827e1ce1b67934b0d268ccc1
2018-02
0
nan
train
[ 0.15097545087337494, 0.01645396463572979, 0.009249495342373848, 0.004645169712603092, 0.009405448101460934, 0.005519620142877102, 0.0038635486271232367, 0.0033362791873514652, 0.010024618357419968, 0.00257415184751153, 0.0024748246651142836, 0.0032100314274430275, 0.007663973607122898, 0.0...
0.15097545 0.016453965 0.009249495 0.0046451697 0.009405448 0.00551962 0.0038635486 0.0033362792 0.010024618 0.0025741518 0.0024748247 0.0032100314 0.0076639736 0.0022000505 0.0021963373 0.011702969 0.0055808877 0.001739618 0.0017851043 0.004425165 0.0036370456 0.0037484404 0.0019150651 0.0018101681 0.0036648943 0.0023...
1
7bf330666c586e8adf6751c911a2821fe67d39f34c8f10d3618fddcbd81a9e53
2018-02
1
autoit
train
[ 0.16322964429855347, 0.009410419501364231, 0.015059302560985088, 0.0064969235099852085, 0.012072944082319736, 0.003432642435654998, 0.0027495548129081726, 0.004515463020652533, 0.010992147028446198, 0.002657464472576976, 0.002408516826108098, 0.002239515772089362, 0.00464904448017478, 0.00...
0.16322964 0.0094104195 0.015059303 0.0064969235 0.012072944 0.0034326424 0.0027495548 0.004515463 0.010992147 0.0026574645 0.0024085168 0.0022395158 0.0046490445 0.001998664 0.0029367714 0.0055385767 0.011955554 0.0015857756 0.0018843103 0.0012528335 0.0029934424 0.0020361075 0.0010787727 0.0011415156 0.0024317924 0.0...
1
502aa0ef53c57bd9c8e1cd58cc206185a1ec58a0ecdec3a768c012062101622c
2018-02
1
dealply
train
[ 0.14262183010578156, 0.025371579453349113, 0.005118615925312042, 0.005782292690128088, 0.004716356750577688, 0.00441907299682498, 0.003082792740315199, 0.0023814754094928503, 0.007311570458114147, 0.001793874311260879, 0.0028686572331935167, 0.0017024880507960916, 0.002366191241890192, 0.0...
0.14262183 0.02537158 0.005118616 0.0057822927 0.0047163568 0.004419073 0.0030827927 0.0023814754 0.0073115705 0.0017938743 0.0028686572 0.001702488 0.0023661912 0.004224354 0.0013369955 0.02798764 0.00877648 0.0032504934 0.0014699163 0.001267648 0.0019035644 0.0023997792 0.0012606813 0.0011354688 0.0032337524 0.002385...
0
fd0aa5f67d94eba55fd9ed205214eef2b062da118118e110a9294b1fd44a68a1
2018-02
0
nan
train
[ 0.042250312864780426, 0.0028229085728526115, 0.0016089207492768764, 0.0024354939814656973, 0.002329795155674219, 0.0007261814316734672, 0.0009663254604674876, 0.0015359488315880299, 0.003719800151884556, 0.0007398912566713989, 0.000904852116946131, 0.0017526533920317888, 0.001610689796507358...
0.042250313 0.0028229086 0.0016089207 0.002435494 0.0023297952 0.00072618143 0.00096632546 0.0015359488 0.0037198002 0.00073989126 0.0009048521 0.0017526534 0.0016106898 0.00047188523 0.0003533611 0.0016252842 0.0025615364 0.0017415971 0.0005426459 0.0007659843 0.00096411415 0.0005116881 0.0007403335 0.00075758144 0.00...
1
f3dcfd0f4e2c1a58c651c54f90f3c43d1a2a94bdbf39e7a17d65d55fe1857fef
2018-02
1
fareit
train
[ 0.05350954458117485, 0.0034781331196427345, 0.0031361463479697704, 0.0021532506216317415, 0.0017276669386774302, 0.001720067230053246, 0.0018061973387375474, 0.001778331701643765, 0.00160860491450876, 0.001552873756736517, 0.0016491366550326347, 0.0015326078282669187, 0.0015148752136155963, ...
0.053509545 0.0034781331 0.0031361463 0.0021532506 0.0017276669 0.0017200672 0.0018061973 0.0017783317 0.0016086049 0.0015528738 0.0016491367 0.0015326078 0.0015148752 0.005783378 0.0016516699 0.001555407 0.0017226005 0.001588339 0.0015604735 0.0015528738 0.0015098087 0.0016136714 0.0014262119 0.0015503404 0.0015756729...
1
a6a60ba589f52d07a74285ee679eb1500811fba76c9de69b1ef75189aac86126
2018-02
1
minerbot
train
[ 0.3531276285648346, 0.010991498827934265, 0.0053928326815366745, 0.008397999219596386, 0.007327666040509939, 0.00368441641330719, 0.003499166341498494, 0.002181833144277334, 0.014572998508810997, 0.0031492498237639666, 0.003025749698281288, 0.002305333036929369, 0.0054134163074195385, 0.00...
0.35312763 0.010991499 0.0053928327 0.008397999 0.007327666 0.0036844164 0.0034991663 0.0021818331 0.0145729985 0.0031492498 0.0030257497 0.002305333 0.0054134163 0.004528333 0.0010291666 0.0065249163 0.0046929996 0.0014614166 0.00092624995 0.0009056666 0.0026346664 0.007451166 0.0004734166 0.00053516665 0.0027581665 0...
0
e8bde6374bda3e2e139489c1fc0a0dbc220a209cd165a2d388a91979008d1102
2018-02
0
nan
train
[ 0.24241475760936737, 0.00962193962186575, 0.00593408802524209, 0.00438072020187974, 0.006124068051576614, 0.003095560008659959, 0.003464345121756196, 0.0031290859915316105, 0.00853793416172266, 0.002324463799595833, 0.0027826514560729265, 0.0015757182845845819, 0.005956438835710287, 0.0021...
0.24241476 0.00962194 0.005934088 0.00438072 0.006124068 0.00309556 0.0034643451 0.003129086 0.008537934 0.0023244638 0.0027826515 0.0015757183 0.005956439 0.0021233084 0.0020897824 0.0070069176 0.0067498856 0.0011845826 0.0011734072 0.00109518 0.0022127107 0.0027603009 0.0016092443 0.0009499011 0.0023468144 0.00124045...
0
7da45505de4b331a48903b8ad4a8e347507986e0b8bfd917d2769dc33fb005dc
2018-02
0
nan
train
[ 0.13559667766094208, 0.004647539928555489, 0.0037527799140661955, 0.0036644621286541224, 0.004646092187613249, 0.0033546260092407465, 0.0031910210382193327, 0.003367656609043479, 0.005158624611794949, 0.003192469011992216, 0.003295264905318618, 0.0029941159300506115, 0.004174098838120699, ...
0.13559668 0.00464754 0.00375278 0.0036644621 0.004646092 0.003354626 0.003191021 0.0033676566 0.0051586246 0.003192469 0.003295265 0.002994116 0.004174099 0.003175095 0.0030766425 0.004201608 0.003981537 0.0031678558 0.003027416 0.0029883247 0.0033082955 0.0033097432 0.0030317595 0.0028884243 0.0033415956 0.0030824337...
1
61280e1251a65f318531e2fe9340a87aa3ab691c129d9816b4c37c0fe59d5a20
2018-02
1
vittalia
train
[ 0.1826484054327011, 0.02602739818394184, 0.010273972526192665, 0.01609588973224163, 0.014497716911137104, 0.008675798773765564, 0.020091325044631958, 0.004452054854482412, 0.004566209856420755, 0.00639269407838583, 0.004908675793558359, 0.004566209856420755, 0.0022831049282103777, 0.007876...
0.1826484 0.026027398 0.0102739725 0.01609589 0.014497717 0.008675799 0.020091325 0.004452055 0.00456621 0.006392694 0.004908676 0.00456621 0.002283105 0.007876712 0.003652968 0.0026255709 0.0034246575 0.0020547945 0.0014840183 0.0074200914 0.0035388127 0.0012557078 0.0033105023 0.0035388127 0.0017123288 0.0017123288 0...
0
b1a85ef93fa9f820120bba114f9d02af71f9b350f43718e43bf84675facbdaad
2018-02
0
nan
train
[ 0.0731019377708435, 0.016140008345246315, 0.011203166097402573, 0.005512587260454893, 0.007799854502081871, 0.003864673664793372, 0.0036307356785982847, 0.003846855368465185, 0.00884366687387228, 0.0033458329271525145, 0.0036885973531752825, 0.0030337239149957895, 0.004872274585068226, 0.0...
0.07310194 0.016140008 0.011203166 0.0055125873 0.0077998545 0.0038646737 0.0036307357 0.0038468554 0.008843667 0.003345833 0.0036885974 0.003033724 0.0048722746 0.0029400336 0.0030385137 0.004373743 0.005935055 0.003054991 0.0048161373 0.0029672403 0.0047615324 0.0026781226 0.0022997214 0.002266767 0.0032929527 0.0024...
1
f75535f1b10dce2ff4ca60d1c0c9862edd1316a64c7133450ce0ec954ee89932
2018-02
1
installmonster
train
[ 0.354228675365448, 0.008649553172290325, 0.0044952877797186375, 0.0127418152987957, 0.0038752479013055563, 0.0025731646455824375, 0.0301339291036129, 0.0035652280785143375, 0.0031001984607428312, 0.0021391368936747313, 0.0028211805038154125, 0.0028831844683736563, 0.008525545708835125, 0.0...
0.35422868 0.008649553 0.004495288 0.012741815 0.003875248 0.0025731646 0.03013393 0.003565228 0.0031001985 0.002139137 0.0028211805 0.0028831845 0.008525546 0.002294147 0.0017671131 0.0024801588 0.0025421628 0.0017361111 0.0017361111 0.0010850695 0.0016741072 0.0017981151 0.002139137 0.002139137 0.0017671131 0.0022631...
0
330787dad691ed820740740e38d8a5f264ad5e2be3280f2751942a0a48910c73
2018-02
0
nan
train
[ 0.011931449174880981, 0.004099701065570116, 0.0035995482467114925, 0.0036383429542183876, 0.0035899989306926727, 0.0034825673792511225, 0.003585224039852619, 0.003422286594286561, 0.0034384012687951326, 0.003496891586109996, 0.003367973957210779, 0.0033697644248604774, 0.0033220171462744474,...
0.011931449 0.004099701 0.0035995482 0.003638343 0.003589999 0.0034825674 0.003585224 0.0034222866 0.0034384013 0.0034968916 0.003367974 0.0033697644 0.0033220171 0.003469437 0.0033721519 0.0033661835 0.0034115433 0.0034903265 0.003341713 0.0034873423 0.0033846856 0.0035237495 0.003345294 0.0034121403 0.0035535914 0.00...
0
c5ab4c29a082b97e44720ea557512b37f8bf965175b4bd20508a320a5fb551b5
2018-02
0
nan
train
[ 0.05867490544915199, 0.00733098154887557, 0.0058215027675032616, 0.0050153653137385845, 0.006211045663803816, 0.005496883764863014, 0.006346303503960371, 0.004766490776091814, 0.005740347784012556, 0.004236279521137476, 0.004771900828927755, 0.004052328411489725, 0.0042525106109678745, 0.0...
0.058674905 0.0073309815 0.005821503 0.0050153653 0.0062110457 0.0054968838 0.0063463035 0.004766491 0.005740348 0.0042362795 0.004771901 0.0040523284 0.0042525106 0.0041172523 0.0041713556 0.0035599896 0.0035221174 0.005367036 0.0043012034 0.005751169 0.003240781 0.003446373 0.0033327562 0.0037222991 0.0033435768 0.00...
1
19ae7575710813fc7afa5c625e67fe7022c7e9cfe07d1c61fc15622869c6ac3d
2018-02
1
gamarue
train
[ 0.068337082862854, 0.006796469911932945, 0.004378490149974823, 0.004311421420425177, 0.006662832573056221, 0.003477065823972225, 0.0037578537594527006, 0.0033239086624234915, 0.008398111909627914, 0.003730825847014785, 0.004051655065268278, 0.003287871601060033, 0.0056838286109268665, 0.00...
0.06833708 0.00679647 0.00437849 0.0043114214 0.0066628326 0.0034770658 0.0037578538 0.0033239087 0.008398112 0.0037308258 0.004051655 0.0032878716 0.0056838286 0.003540631 0.0031412214 0.0058269757 0.005325962 0.0035686598 0.0031196992 0.0028964703 0.0039680693 0.0033484339 0.0028729462 0.0028294015 0.0038929922 0.002...
1
ca4e474cfcc2fa94d9a80ca13cc0807bf0fb92fb788213d6100c3ca592c95795
2018-02
1
icloader
train
[ 0.010265858843922615, 0.004494128283113241, 0.003937369678169489, 0.00392084801569581, 0.0040122829377651215, 0.0038502346724271774, 0.003872640896588564, 0.003837107913568616, 0.003892104607075453, 0.0038418606854975224, 0.0038434448651969433, 0.003836202435195446, 0.0038866729009896517, ...
0.010265859 0.0044941283 0.0039373697 0.003920848 0.004012283 0.0038502347 0.003872641 0.003837108 0.0038921046 0.0038418607 0.0038434449 0.0038362024 0.003886673 0.0038398237 0.0038255653 0.003872641 0.0038850887 0.0038690197 0.0038067803 0.0038350709 0.0038773937 0.003819907 0.0038373342 0.0038319023 0.0038522715 0.0...
-1
1ceacbb30fe24f3668360d8c2ccb7704713f5aa9d2d24832e716445bec313099
2018-02
-1
speedingupmypc
train
[ 0.1288171112537384, 0.008823285810649395, 0.005897577852010727, 0.003764580702409148, 0.00768834026530385, 0.002876362530514598, 0.002451354870572686, 0.0035465057007968426, 0.009273761883378029, 0.0022555647883564234, 0.002306502079591155, 0.0019419824238866568, 0.004533414728939533, 0.00...
0.12881711 0.008823286 0.005897578 0.0037645807 0.0076883403 0.0028763625 0.0024513549 0.0035465057 0.009273762 0.0022555648 0.002306502 0.0019419824 0.0045334147 0.001832149 0.0017955379 0.0038648634 0.0068494678 0.0017398252 0.001507424 0.001289349 0.0031151308 0.002187118 0.001997695 0.0014214675 0.00327431 0.001512...
1
2ff1cba828bc8bd79d745b60ef0c69615a9451feddadca3a12ad3bb793d2871f
2018-02
1
fareit
train
[ 0.2707885205745697, 0.015063663944602013, 0.007429493125528097, 0.002107874257490039, 0.0020681608002632856, 0.004267681855708361, 0.003070164704695344, 0.002260618843138218, 0.004829781595617533, 0.0013380419695749879, 0.0013136027846485376, 0.002963243518024683, 0.0030182315967977047, 0....
0.27078852 0.015063664 0.007429493 0.0021078743 0.0020681608 0.004267682 0.0030701647 0.0022606188 0.0048297816 0.001338042 0.0013136028 0.0029632435 0.0030182316 0.001060047 0.0011058702 0.00081260083 0.0009256317 0.0008095459 0.0006293074 0.001640476 0.0010967056 0.00065374654 0.0007851068 0.0007301188 0.000778997 0....
0
fea5ccad1c72c215541050c617b221da2b120b2946222bbb3785c7e23f373992
2018-02
0
nan
train
[ 0.23995143175125122, 0.019903462380170822, 0.004007508512586355, 0.004037304315716028, 0.005966569297015667, 0.0022048745304346085, 0.0028231332544237375, 0.0035754721611738205, 0.0053185150027275085, 0.0017430427251383662, 0.002696502022445202, 0.002577319508418441, 0.003433943260461092, ...
0.23995143 0.019903462 0.0040075085 0.0040373043 0.0059665693 0.0022048745 0.0028231333 0.0035754722 0.005318515 0.0017430427 0.002696502 0.0025773195 0.0034339433 0.0019739587 0.0019963053 0.0036872057 0.005244026 0.0085066445 0.0016760026 0.0015866158 0.0023613016 0.0045438292 0.0038287349 0.0029125202 0.0027560932 0...
-1
8bd74c31422be6efc7f4ffd005b8bb7c5fd7dd572bbfc7dbb4b336a9b24321c1
2018-02
-1
shipup
train
[ 0.08268804848194122, 0.0028040444012731314, 0.0021496284753084183, 0.0017339938785880804, 0.0027832030318677425, 0.0018775009084492922, 0.0016744474414736032, 0.0018227181863039732, 0.003103563329204917, 0.0014636528212577105, 0.0013386051869019866, 0.0015309404116123915, 0.00214784196577966...
0.08268805 0.0028040444 0.0021496285 0.0017339939 0.002783203 0.0018775009 0.0016744474 0.0018227182 0.0031035633 0.0014636528 0.0013386052 0.0015309404 0.002147842 0.001171875 0.0011313834 0.0033715225 0.0022038158 0.0011927163 0.0012326124 0.0010658823 0.0015898914 0.001384456 0.0021609422 0.0011504382 0.0014273295 0...
1
d257bd491a60566b283a6a253a2bb794bfda1ae23fd32d0b135123b1cbcb0b3f
2018-02
1
adposhel
train
[ 0.3577319085597992, 0.01171875, 0.007967510260641575, 0.004154265858232975, 0.004185267724096775, 0.0022321429569274187, 0.0088355652987957, 0.0039992560632526875, 0.0027901786379516125, 0.0023251487873494625, 0.0029761905316263437, 0.0027591765392571688, 0.0031001984607428312, 0.003596230...
0.3577319 0.01171875 0.00796751 0.004154266 0.0041852677 0.002232143 0.008835565 0.003999256 0.0027901786 0.0023251488 0.0029761905 0.0027591765 0.0031001985 0.0035962302 0.0025731646 0.0026351686 0.0025731646 0.002170139 0.0013330854 0.0017671131 0.001922123 0.0018291171 0.0016741072 0.0017361111 0.0016741072 0.001643...
-1
ba5f34fa69c4101824184fcf7720d47f9e777d5df0c15ed897703e94af5880af
2018-02
-1
nan
train
[ 0.22344796359539032, 0.014661157503724098, 0.011560730636119843, 0.008002176880836487, 0.008858208544552326, 0.004058623220771551, 0.0061599877662956715, 0.003437032224610448, 0.008865736424922943, 0.0034520879853516817, 0.004352211952209473, 0.002094911877065897, 0.005686804186552763, 0.0...
0.22344796 0.0146611575 0.011560731 0.008002177 0.008858209 0.004058623 0.0061599878 0.0034370322 0.008865736 0.003452088 0.004352212 0.0020949119 0.005686804 0.003490803 0.0019723144 0.0076204035 0.006775126 0.0025401346 0.0024444226 0.0022314899 0.003323038 0.0039005368 0.0017475523 0.0014991311 0.0031391417 0.001359...
1
b6afd518061250ba408cd970ca9045dbf7a75717a1b9f408e7444fad4a947ff9
2018-02
1
nan
train
[ 0.3581736087799072, 0.009538540616631508, 0.005388613790273666, 0.005388613790273666, 0.007972284220159054, 0.0036889442708343267, 0.005140225403010845, 0.003196506528183818, 0.0075373342260718346, 0.002771317958831787, 0.004703105427324772, 0.002240916946902871, 0.0051684267818927765, 0.0...
0.3581736 0.009538541 0.005388614 0.005388614 0.007972284 0.0036889443 0.0051402254 0.0031965065 0.007537334 0.002771318 0.0047031054 0.002240917 0.005168427 0.0037713787 0.001238687 0.005077315 0.004734561 0.0015011758 0.0013666773 0.0012104857 0.0022528484 0.0034546566 0.00094799686 0.00077011186 0.0020196454 0.00094...
-1
647fcc66199fae9c161943dfb9771de952db95f07cac1d481a704693b45b7a82
2018-02
-1
qhost
train
[ 0.3621419370174408, 0.02642144076526165, 0.0222439244389534, 0.00824652798473835, 0.02240668423473835, 0.005642361007630825, 0.010579426772892475, 0.0047200522385537624, 0.0060221352614462376, 0.002170138992369175, 0.01519097201526165, 0.002658420242369175, 0.0030381944961845875, 0.0018988...
0.36214194 0.02642144 0.022243924 0.008246528 0.022406684 0.005642361 0.010579427 0.0047200522 0.0060221353 0.002170139 0.015190972 0.0026584202 0.0030381945 0.0018988715 0.0033094618 0.0022243923 0.0034722222 0.00938585 0.004123264 0.0042860243 0.0027126735 0.0028211805 0.003689236 0.0017903646 0.0017903646 0.00200737...
0
a322f28d26e1f55cb48cbf867eabd9c3a1ac9316186f675436e49d9cb4a2eed2
2018-02
0
nan
train
[ 0.18649667501449585, 0.003157106228172779, 0.003703914349898696, 0.0030584465712308884, 0.003434690646827221, 0.002871160628274083, 0.003642043098807335, 0.002792567480355501, 0.0033912137150764465, 0.00309690716676414, 0.003804245963692665, 0.0029597869142889977, 0.0030835296493023634, 0....
0.18649668 0.0031571062 0.0037039143 0.0030584466 0.0034346906 0.0028711606 0.003642043 0.0027925675 0.0033912137 0.0030969072 0.003804246 0.002959787 0.0030835296 0.0027825343 0.002874505 0.003760769 0.0035366947 0.0030383803 0.0030601188 0.0029698203 0.0030634631 0.0028627997 0.0027624678 0.0028845381 0.0031420563 0....
1
2c539461883d9f73850bfa5a93cb524d87180cecfd895ae35e4135de61ec1347
2018-02
1
qbot
train
[ 0.3645203113555908, 0.03848854824900627, 0.0029440363869071007, 0.05644987151026726, 0.0045105875469744205, 0.002160760574042797, 0.004564606584608555, 0.0012694468023255467, 0.0011073898058384657, 0.010560717433691025, 0.0032411408610641956, 0.0009723422699607909, 0.0006212186417542398, 0...
0.3645203 0.03848855 0.0029440364 0.05644987 0.0045105875 0.0021607606 0.0045646066 0.0012694468 0.0011073898 0.010560717 0.0032411409 0.00097234227 0.00062121864 0.0029980554 0.0012694468 0.0005942092 0.0014044944 0.0064552724 0.0004051426 0.0023228177 0.00097234227 0.0007562662 0.0010533708 0.00064822816 0.0005942092...
0
18a84ee25cdd20be71e9a201afd51b257726c8060f93ae2cafa829cafd66cd20
2018-02
0
nan
train
[ 0.17804209887981415, 0.011394208297133446, 0.006113813724368811, 0.005161532200872898, 0.009408099576830864, 0.003338513895869255, 0.0034421731252223253, 0.0030862768180668354, 0.011665103957057, 0.0029010726138949394, 0.0021063529420644045, 0.0018810670590028167, 0.008341101929545403, 0.0...
0.1780421 0.011394208 0.0061138137 0.005161532 0.0094081 0.003338514 0.0034421731 0.0030862768 0.011665104 0.0029010726 0.002106353 0.0018810671 0.008341102 0.0018893598 0.001526553 0.010029363 0.0066749547 0.0012501287 0.0013482593 0.001127811 0.0043688854 0.0028520073 0.0018409856 0.0010234608 0.0029819268 0.00158667...
1
12a65d7fd99b15bcfc728bd4d0a81cdafc0a83fcfae7aa9b5e1f9ad0f3967810
2018-02
1
ursu
train
[ 0.354228675365448, 0.008649553172290325, 0.0045572915114462376, 0.0127418152987957, 0.0038752479013055563, 0.0025731646455824375, 0.0301649309694767, 0.0035652280785143375, 0.0031001984607428312, 0.0021391368936747313, 0.0028211805038154125, 0.0028831844683736563, 0.008525545708835125, 0.0...
0.35422868 0.008649553 0.0045572915 0.012741815 0.003875248 0.0025731646 0.030164931 0.003565228 0.0031001985 0.002139137 0.0028211805 0.0028831845 0.008525546 0.002294147 0.0017671131 0.0024801588 0.0025421628 0.0017361111 0.0017361111 0.0010850695 0.0016741072 0.0017981151 0.002139137 0.002139137 0.0017671131 0.00226...
-1
1ddef4dbd11a25d8fa557fb3470f3cbd8afe5f706a5c1811e88d6c22ffff6600
2018-02
-1
nan
train
[ 0.1622372418642044, 0.007499645929783583, 0.003993559163063765, 0.0034689290914684534, 0.0064229597337543964, 0.002538219327107072, 0.0021356784272938967, 0.0018932691309601068, 0.0071271853521466255, 0.0017685256898403168, 0.0015225777169689536, 0.001283707213588059, 0.005043704528361559, ...
0.16223724 0.007499646 0.003993559 0.003468929 0.0064229597 0.0025382193 0.0021356784 0.0018932691 0.0071271854 0.0017685257 0.0015225777 0.0012837072 0.0050437045 0.0015340789 0.0010572227 0.006861774 0.004643818 0.0015031141 0.0011510014 0.0010492604 0.0025948405 0.002458596 0.0009289405 0.0006131007 0.0020693254 0.0...
1
37f47ea73533ec17cf732d966ca2d5f3c95b60e0f462568d927fb8cdbbb0cfb2
2018-02
1
zusy
train
[ 0.24702759087085724, 0.0033081055153161287, 0.0014282226329669356, 0.0021179199684411287, 0.0020629882346838713, 0.0010253905784338713, 0.0009399413829669356, 0.00128173828125, 0.00335693359375, 0.00091552734375, 0.0010559081565588713, 0.0006591796991415322, 0.0015502929454669356, 0.001513...
0.24702759 0.0033081055 0.0014282226 0.00211792 0.0020629882 0.0010253906 0.0009399414 0.0012817383 0.0033569336 0.00091552734 0.0010559082 0.0006591797 0.001550293 0.0015136718 0.00084228517 0.00068359374 0.0013793946 0.0010803223 0.0010498047 0.0010192872 0.0012573242 0.0005493164 0.00084838865 0.00091552734 0.001196...
1
b450dc02c958f292d252b1345984e28a1514c345eb4c50d5b5b111d9509bc468
2018-02
1
gamarue
train
[ 0.1814737170934677, 0.004072733223438263, 0.002818561624735594, 0.0027077691629529, 0.007498438004404306, 0.0031420758459717035, 0.0027831080369651318, 0.002601408399641514, 0.0027343593537807465, 0.0027122008614242077, 0.008668406866490841, 0.0030534418765455484, 0.0028096982277929783, 0....
0.18147372 0.004072733 0.0028185616 0.0027077692 0.007498438 0.0031420758 0.002783108 0.0026014084 0.0027343594 0.0027122009 0.008668407 0.0030534419 0.0028096982 0.0030888955 0.002636862 0.0032927538 0.002978103 0.003009125 0.0028362887 0.0031863928 0.002876174 0.0032351415 0.00257925 0.0024950476 0.0021892602 0.00262...
-1
f04df120464960780bf6cee021221cd37f515fb89b91ed7eadc080b6d4b35237
2018-02
-1
ramnit
train
[ 0.08954520523548126, 0.0066963364370167255, 0.005883232690393925, 0.0039036707021296024, 0.004064227920025587, 0.00373408617451787, 0.0027694525197148323, 0.0030634852591902018, 0.003454884048551321, 0.0030428513418883085, 0.008268379606306553, 0.003627047874033451, 0.0030892775394022465, ...
0.089545205 0.0066963364 0.0058832327 0.0039036707 0.004064228 0.0037340862 0.0027694525 0.0030634853 0.003454884 0.0030428513 0.00826838 0.0036270479 0.0030892775 0.007978216 0.0023716057 0.0028642395 0.0027926657 0.0021807423 0.0020253435 0.0022568298 0.0022200758 0.0026566111 0.0021897696 0.002582458 0.0024219009 0....
-1
24fe158fe8decf38e15693bd94f032241317f496dc8f9d30c99078b3cf43a22b
2018-02
-1
nan
train
[ 0.16544926166534424, 0.009601546451449394, 0.015293878503143787, 0.006482081953436136, 0.011958937160670757, 0.003399188630282879, 0.0026914773043245077, 0.0045072115026414394, 0.010831145569682121, 0.002564959228038788, 0.0023633206728845835, 0.002175520407035947, 0.004826472140848637, 0....
0.16544926 0.009601546 0.0152938785 0.006482082 0.011958937 0.0033991886 0.0026914773 0.0045072115 0.010831146 0.0025649592 0.0023633207 0.0021755204 0.004826472 0.002030222 0.002839741 0.00542348 0.01180672 0.0014786817 0.001836491 0.0012375063 0.0028219493 0.0020312106 0.0011149418 0.001138664 0.0024275684 0.00106947...
1
53323aa2f0abda8f03433412a1dd140a76ed8cc1b273e7b3d237e407c359d266
2018-02
1
dealply
train
[ 0.29907289147377014, 0.004508636891841888, 0.0022640773095190525, 0.003103347262367606, 0.0031228652223944664, 0.0010344490874558687, 0.0012881818693131208, 0.00136625359300524, 0.0033375623170286417, 0.0005074656219221652, 0.0014052893966436386, 0.0006050551310181618, 0.0018932370003312826,...
0.2990729 0.004508637 0.0022640773 0.0031033473 0.0031228652 0.0010344491 0.0012881819 0.0013662536 0.0033375623 0.0005074656 0.0014052894 0.00060505513 0.001893237 0.0007026447 0.00083927 0.0019322728 0.0022640773 0.0011125207 0.0020688982 0.0014052894 0.001483361 0.00829511 0.0010734849 0.0005465014 0.0009563775 0.00...
0
fa5643b0a24d694fc9577e5cb27bf25d07e54b24dda79632ecdbc3d40ac69f50
2018-02
0
nan
train
[ 0.07570944726467133, 0.01697995513677597, 0.011472411453723907, 0.005730628501623869, 0.00762136559933424, 0.0038867774419486523, 0.003656697692349553, 0.004138598218560219, 0.008824699558317661, 0.0031171352602541447, 0.003557065734639764, 0.0031850060913711786, 0.004697444383054972, 0.00...
0.07570945 0.016979955 0.011472411 0.0057306285 0.0076213656 0.0038867774 0.0036566977 0.004138598 0.0088247 0.0031171353 0.0035570657 0.003185006 0.0046974444 0.0029093642 0.0026516824 0.0043601706 0.0060688476 0.0029934936 0.003945384 0.0035687871 0.004544877 0.0027195532 0.0024622495 0.0024274634 0.003257981 0.00216...
1
542d87cbe1344c91630fcce01b072f037b240ce1924ffcff6c48a33efd37f13a
2018-02
1
installmonster
train
[ 0.006928944028913975, 0.004112594295293093, 0.003934862092137337, 0.0038753522094339132, 0.003909700084477663, 0.0038759512826800346, 0.0038709586951881647, 0.0039464449509978294, 0.003939655143767595, 0.0038853369187563658, 0.003911297768354416, 0.0038975186180323362, 0.003931267652660608, ...
0.006928944 0.0041125943 0.003934862 0.0038753522 0.0039097 0.0038759513 0.0038709587 0.003946445 0.003939655 0.003885337 0.003911298 0.0038975186 0.0039312677 0.0038923265 0.0038819422 0.0038959212 0.0039246776 0.0040149414 0.0038631705 0.0038905293 0.0038995156 0.0039686114 0.0038549828 0.0038352127 0.003887334 0.003...
0
75f47ef1818cb752fa4f17d18f52726d6df0f2a8b5a149c22f72dd51926a2e3d
2018-02
0
nan
train
[ 0.15759460628032684, 0.009434059262275696, 0.016053006052970886, 0.007148941047489643, 0.011666689068078995, 0.0034709894098341465, 0.0026239382568746805, 0.004390583839267492, 0.012163825333118439, 0.002054259181022644, 0.0022181218955665827, 0.0023580880369991064, 0.004664115607738495, 0...
0.1575946 0.009434059 0.016053006 0.007148941 0.011666689 0.0034709894 0.0026239383 0.004390584 0.012163825 0.0020542592 0.002218122 0.002358088 0.0046641156 0.0018455901 0.001833215 0.00486553 0.008698383 0.0014244114 0.0016253995 0.001428252 0.0028714393 0.0018746074 0.00094349124 0.0013761914 0.002794202 0.000752317...
1
d0b3199e9e31848cf522919c1cacf73b5f10f42a5d5bf1ca0fb533b50ee57c29
2018-02
1
dealply
train
[ 0.3638237714767456, 0.013346354477107525, 0.0079210065305233, 0.00444878451526165, 0.0037977430038154125, 0.0018446180038154125, 0.0026041667442768812, 0.0008680555620230734, 0.0013020833721384406, 0.0013020833721384406, 0.0116102434694767, 0.0007595486240461469, 0.0006510416860692203, 0.0...
0.36382377 0.0133463545 0.0079210065 0.0044487845 0.003797743 0.001844618 0.0026041667 0.00086805556 0.0013020834 0.0013020834 0.0116102435 0.0007595486 0.0006510417 0.0069444445 0.0017361111 0.00054253475 0.0024956597 0.00054253475 0.0010850695 0.00043402778 0.00032552084 0.00032552084 0.0006510417 0.00032552084 0.000...
1
690ad44241ce3a5041a323990f6881c20db246ab556fd2d3d821540e5d0c4256
2018-02
1
dotdo
train
[ 0.2441655546426773, 0.014277803711593151, 0.007286169566214085, 0.0063187251798808575, 0.011366644874215126, 0.004473189357668161, 0.005547637585550547, 0.0031869406811892986, 0.008939760737121105, 0.0020727801602333784, 0.004040762782096863, 0.0019106200197711587, 0.0059966109693050385, 0...
0.24416555 0.014277804 0.0072861696 0.006318725 0.011366645 0.0044731894 0.0055476376 0.0031869407 0.008939761 0.0020727802 0.004040763 0.00191062 0.005996611 0.0030821434 0.0019746015 0.005575216 0.005550947 0.0017639039 0.0015863 0.0017616976 0.0027445857 0.00301044 0.0014914309 0.0013403022 0.0022878903 0.0013369928...
1
c03f35ace6fd91ffec6fcef5830d4e667ce6af75cb6418c1ce99a4e1b6217d8f
2018-02
1
qhost
train
[ 0.18358975648880005, 0.012955548241734505, 0.009161734022200108, 0.006865859962999821, 0.010463091544806957, 0.0035718430299311876, 0.003064066870138049, 0.003247228916734457, 0.01030713226646185, 0.0024754090700298548, 0.002190691651776433, 0.0018214659066870809, 0.005936992354691029, 0.0...
0.18358976 0.012955548 0.009161734 0.00686586 0.010463092 0.003571843 0.0030640669 0.003247229 0.010307132 0.002475409 0.0021906917 0.0018214659 0.0059369924 0.0015008415 0.00148452 0.0054992167 0.008031206 0.0015838991 0.0015062819 0.0011225481 0.0040984796 0.0013209436 0.0011403203 0.00084073236 0.003278421 0.0007772...
-1
689259942909bcaf9db200f98547dc3c4a30ec20ea90bde05b86087458c34c69
2018-02
-1
nan
train
[ 0.28585025668144226, 0.010591533966362476, 0.006126475520431995, 0.006213007494807243, 0.007216780446469784, 0.003859333461150527, 0.0025613512843847275, 0.0025440447498112917, 0.010280017741024494, 0.0021633035503327847, 0.0022844483610242605, 0.002111384179443121, 0.00666297459974885, 0....
0.28585026 0.010591534 0.0061264755 0.0062130075 0.0072167804 0.0038593335 0.0025613513 0.0025440447 0.010280018 0.0021633036 0.0022844484 0.0021113842 0.0066629746 0.0023536743 0.001782562 0.007684054 0.011785678 0.0019210135 0.0010903049 0.00096915994 0.004378526 0.007822505 0.00070956355 0.0003807414 0.0028382542 0....
-1
57e07b22f673289d51010a16f7a8b600e8bfadd5ca401e70f930acbfa1e63273
2018-02
-1
high
train
[ 0.871635377407074, 0.0009197727777063847, 0.0005581526784226298, 0.0006564190261997283, 0.001010177773423493, 0.0006511781248264015, 0.0005175359547138214, 0.0005633935797959566, 0.0010625864379107952, 0.000432371802162379, 0.000454645516583696, 0.0006878642598167062, 0.0007913714507594705, ...
0.8716354 0.0009197728 0.0005581527 0.000656419 0.0010101778 0.0006511781 0.00051753595 0.0005633936 0.0010625864 0.0004323718 0.00045464552 0.00068786426 0.00079137145 0.0004087879 0.00046512726 0.0007415832 0.0007062073 0.0004245105 0.0004114083 0.0003865142 0.0005424301 0.0005345688 0.00039044485 0.00039568573 0.000...
-1
2d79e9ca14c9c9f0a128e8a44ffdfbca00f3c2d68da0bf74283519c36d8ede25
2018-02
-1
nan
train
[ 0.16746050119400024, 0.009837906807661057, 0.005951439030468464, 0.004474611487239599, 0.009259654209017754, 0.00290419883094728, 0.0026949625462293625, 0.00566687760874629, 0.0077934786677360535, 0.0018268224084749818, 0.002074862364679575, 0.0016875852597877383, 0.005705681629478931, 0.0...
0.1674605 0.009837907 0.005951439 0.0044746115 0.009259654 0.0029041988 0.0026949625 0.0056668776 0.0077934787 0.0018268224 0.0020748624 0.0016875853 0.0057056816 0.0018998649 0.0025321387 0.011211257 0.0054584024 0.0015384569 0.0011488971 0.0010454202 0.0032739763 0.008086409 0.0012211787 0.001127593 0.0030837615 0.00...
0
d21eb63b8bc4582acef57fbd3beacef6aa10a2fbeb6d8e4384f4fadd7898cbae
2018-02
0
nan
train
[ 0.1405196338891983, 0.023700911551713943, 0.010809202678501606, 0.016312971711158752, 0.015420468524098396, 0.007685442455112934, 0.020031733438372612, 0.005305434577167034, 0.004412931390106678, 0.007040856871753931, 0.007338357623666525, 0.004512098152190447, 0.002627925481647253, 0.0068...
0.14051963 0.023700912 0.010809203 0.016312972 0.0154204685 0.0076854425 0.020031733 0.0053054346 0.0044129314 0.007040857 0.0073383576 0.004512098 0.0026279255 0.0068921065 0.00411543 0.0029750098 0.0033716778 0.0028758429 0.0012395874 0.010710035 0.0022808409 0.0029750098 0.0032725108 0.0027270925 0.002181674 0.00193...
0
8480ffd4140f56a2f3510585e615507a3463eabf6368e79dd714ee3dd6a5bb4f
2018-02
0
nan
train
[ 0.17662237584590912, 0.024969574064016342, 0.02914671041071415, 0.011203478090465069, 0.024818427860736847, 0.008217846974730492, 0.011251570656895638, 0.005246937740594149, 0.005115421023219824, 0.0032123508863151073, 0.02764996886253357, 0.0028933731373399496, 0.0021926036570221186, 0.00...
0.17662238 0.024969574 0.02914671 0.011203478 0.024818428 0.008217847 0.011251571 0.0052469377 0.005115421 0.003212351 0.027649969 0.0028933731 0.0021926037 0.0025037297 0.0021396042 0.0024477858 0.0033978487 0.0051252358 0.0039828047 0.0034979586 0.0033595713 0.0021749372 0.0049004788 0.004395022 0.0026313206 0.002596...
0
e1c4c3f9db24d74ae9327043b8dd2a372b24313d87a5e35045ced73cd2431e2f
2018-02
0
nan
train
[ 0.22934173047542572, 0.011710239574313164, 0.0055633364245295525, 0.006458138581365347, 0.00879240594804287, 0.005835667718201876, 0.008131030015647411, 0.0027622159104794264, 0.0041238716803491116, 0.003267973894253373, 0.0021397448144853115, 0.0019841270986944437, 0.002917833859100938, 0...
0.22934173 0.01171024 0.0055633364 0.0064581386 0.008792406 0.0058356677 0.00813103 0.002762216 0.0041238717 0.003267974 0.0021397448 0.001984127 0.0029178339 0.0034624962 0.001984127 0.0048241518 0.022370059 0.000778089 0.0010115157 0.0025676938 0.0024898848 0.0017896048 0.0011671336 0.0015950825 0.0025676938 0.001361...
0
89b1230c2c3676e82bbcccc185eff093663bee7ae65b66e2e38586f49cd84346
2018-02
0
nan
train
[ 0.29533353447914124, 0.030855871737003326, 0.0309784896671772, 0.008627031929790974, 0.017280338332057, 0.005640415009111166, 0.020047996193170547, 0.008872267790138721, 0.008951093070209026, 0.005079876631498337, 0.045254696160554886, 0.006419912911951542, 0.0051236688159406185, 0.0035033...
0.29533353 0.030855872 0.03097849 0.008627032 0.017280338 0.005640415 0.020047996 0.008872268 0.008951093 0.0050798766 0.045254696 0.006419913 0.005123669 0.003503363 0.004580647 0.003065443 0.0034683296 0.011403447 0.007068035 0.008819717 0.005044843 0.004055143 0.0063060536 0.0036347394 0.0028464827 0.0019356082 0.00...
1
e0f1f1e5db4d782d0ebcadd36e44bc50aa2e7b28db6b47b44b33c1e957fddfb0
2018-02
1
high
train
[ 0.2520824670791626, 0.013369196094572544, 0.0077988882549107075, 0.011162076145410538, 0.012788423337042332, 0.008830765262246132, 0.008838526904582977, 0.009730232879519463, 0.014883224852383137, 0.0043863896280527115, 0.008155022747814655, 0.0033303138334304094, 0.008955411612987518, 0.0...
0.25208247 0.013369196 0.0077988883 0.011162076 0.012788423 0.008830765 0.008838527 0.009730233 0.014883225 0.0043863896 0.008155023 0.0033303138 0.008955412 0.0031536163 0.0011747872 0.005789468 0.0056004426 0.0011916807 0.0009332549 0.0011830056 0.0029367395 0.0022797172 0.0012382522 0.00077253784 0.0023335938 0.0007...
1
137b589d1f981569dde14e8b686c89e5c10dc965a21f1851fde1bfbfaef38db4
2018-02
1
qhost
train
[ 0.014279855415225029, 0.004163874313235283, 0.0042856112122535706, 0.003955857828259468, 0.00397595064714551, 0.003949948586523533, 0.0037608426064252853, 0.0039901332929730415, 0.004258427303284407, 0.0036674714647233486, 0.003840030636638403, 0.0038282114546746016, 0.00398658774793148, 0...
0.014279855 0.0041638743 0.004285611 0.003955858 0.0039759506 0.0039499486 0.0037608426 0.0039901333 0.0042584273 0.0036674715 0.0038400306 0.0038282115 0.0039865877 0.0038057552 0.0037502053 0.004102415 0.003996043 0.0038861253 0.003756115 0.003769116 0.0039511304 0.004165056 0.0037773894 0.0037596608 0.0038104828 0.0...
1
fdea6b3b5c4943b1df64f46fbfa2f7fa97dd4598f25b9225413cce10e24e5c4c
2018-02
1
installmonster
train
[ 0.14462688565254211, 0.009651156142354012, 0.0056785945780575275, 0.006155902054160833, 0.008781093172729015, 0.0034325222950428724, 0.0024315405171364546, 0.0033397884108126163, 0.010457124561071396, 0.003598898183554411, 0.00235380744561553, 0.0019815077539533377, 0.004826260264962912, 0...
0.14462689 0.009651156 0.0056785946 0.006155902 0.008781093 0.0034325223 0.0024315405 0.0033397884 0.010457125 0.0035988982 0.0023538074 0.0019815078 0.0048262603 0.0017864936 0.0017210343 0.006841861 0.007646465 0.0018383155 0.0015860244 0.0014060114 0.0038689177 0.002645647 0.0015328388 0.0009205215 0.00294976 0.0010...
1
e687857aa243db6e484d1ee67d17d41d61f40b099de78176cbc5b07285bfe051
2018-02
1
centrumdownloader
train
[ 0.06589078903198242, 0.006526333745568991, 0.004926054272800684, 0.005374627653509378, 0.006238751113414764, 0.003076031804084778, 0.0037826041225343943, 0.0033202706836163998, 0.00575371365994215, 0.0029652644880115986, 0.003116623731330037, 0.00323289493098855, 0.006202287506312132, 0.00...
0.06589079 0.0065263337 0.0049260543 0.0053746277 0.006238751 0.0030760318 0.0037826041 0.0033202707 0.0057537137 0.0029652645 0.0031166237 0.003232895 0.0062022875 0.0027127697 0.0028111532 0.005096677 0.00525698 0.003470254 0.0023274918 0.0023556997 0.0036842206 0.002680434 0.002284148 0.0022270442 0.0031510235 0.002...
1
60dbc18a3954b50f8478613bd9eb06e64da92d0777539b8706c381f47bd0394a
2018-02
1
filetour
train
[ 0.08016307651996613, 0.017997320741415024, 0.0122114522382617, 0.005672487895935774, 0.007775053381919861, 0.0038956748321652412, 0.0037006395868957043, 0.0036552180536091328, 0.00933776143938303, 0.0033032880164682865, 0.0034244698472321033, 0.002889120252802968, 0.004951811395585537, 0.0...
0.08016308 0.01799732 0.012211452 0.005672488 0.0077750534 0.0038956748 0.0037006396 0.003655218 0.009337761 0.003303288 0.0034244698 0.0028891203 0.0049518114 0.002928474 0.0028755977 0.004499157 0.0060379403 0.0029730287 0.002854274 0.0023733606 0.003745021 0.0030829418 0.0026939118 0.0026139906 0.0033762746 0.003208...
1
ed100b19666965b65b9ee0c7a868debf1c54e612eca1353b20fe6e275935c4bc
2018-02
1
installmonster
train
[ 0.04277074337005615, 0.005609914660453796, 0.004558571148663759, 0.004287788178771734, 0.005246123764663935, 0.003587284591048956, 0.0038062655366957188, 0.003778009908273816, 0.005801817402243614, 0.004062920343130827, 0.004323107656091452, 0.003469552844762802, 0.0038474714383482933, 0.0...
0.042770743 0.0056099147 0.004558571 0.004287788 0.0052461238 0.0035872846 0.0038062655 0.00377801 0.0058018174 0.0040629203 0.0043231077 0.0034695528 0.0038474714 0.0039051601 0.0033871406 0.0034636662 0.0044832225 0.003941657 0.0039216424 0.0037556407 0.0038298117 0.0035095816 0.0035119362 0.0037250307 0.003908692 0....
1
a45239cedea38826ac007ef7ea1f48df5b3779a9b5aa103fec5cbd198bd21c16
2018-02
1
nan
train
[ 0.37075188755989075, 0.006317185238003731, 0.007497383747249842, 0.005550204310566187, 0.0102918092161417, 0.0022979690693318844, 0.0015517979627475142, 0.0015666618710383773, 0.008558670990169048, 0.0011742531787604094, 0.00177178462035954, 0.0009691305458545685, 0.005517503712326288, 0.0...
0.3707519 0.0063171852 0.0074973837 0.0055502043 0.010291809 0.002297969 0.001551798 0.0015666619 0.008558671 0.0011742532 0.0017717846 0.00096913055 0.0055175037 0.0015428796 0.0009215658 0.0054788576 0.015399068 0.0009988585 0.001004804 0.00052023877 0.0024257991 0.0021612204 0.0005618579 0.0003864631 0.0020482545 0....
0
be9f223d9a7bbd6ee49e50d89d5d00c16fee081febb2fbf8e0e411b7ddaf7530
2018-02
0
nan
train
[ 0.16781005263328552, 0.0047973631881177425, 0.0038940429221838713, 0.0038208006881177425, 0.0048624672926962376, 0.0031331379432231188, 0.0032511393073946238, 0.0038696289993822575, 0.0032470703590661287, 0.0032633463852107525, 0.0037394205573946238, 0.0033732096198946238, 0.0032104491256177...
0.16781005 0.004797363 0.003894043 0.0038208007 0.0048624673 0.003133138 0.0032511393 0.003869629 0.0032470704 0.0032633464 0.0037394206 0.0033732096 0.0032104491 0.0034993489 0.0032267252 0.004040527 0.003515625 0.0037027996 0.0031819663 0.0034342448 0.0034667968 0.0034708658 0.0032145183 0.0032104491 0.0032552083 0.0...
0
b2ef3e8eb9b834b8f75390b56f7e67a94f3b437974a700c99b8cba80397a2a7d
2018-02
0
nan
train
[ 0.32827019691467285, 0.021265190094709396, 0.009917798452079296, 0.006701215170323849, 0.005629020743072033, 0.0037526804953813553, 0.003395282430574298, 0.0029485346749424934, 0.0029485346749424934, 0.0024124374613165855, 0.001965689705684781, 0.002233738312497735, 0.003127233823761344, 0...
0.3282702 0.02126519 0.009917798 0.006701215 0.0056290207 0.0037526805 0.0033952824 0.0029485347 0.0029485347 0.0024124375 0.0019656897 0.0022337383 0.0031272338 0.0021443889 0.0022337383 0.002680486 0.007862759 0.0016976412 0.00062544673 0.0008041458 0.0024124375 0.004020729 0.001340243 0.0027698355 0.003484632 0.0025...
1
ab9ac257f7726812d1eb12027f484b88c8ce84157100980d8f1075a871597d79
2018-02
1
hematite
train
[ 0.40927523374557495, 0.012192877940833569, 0.007451596669852734, 0.0043662250973284245, 0.018646681681275368, 0.0034710427280515432, 0.0025829370133578777, 0.0020981940906494856, 0.017893031239509583, 0.005937216803431511, 0.005661231931298971, 0.003860252443701029, 0.00844585057348013, 0....
0.40927523 0.012192878 0.0074515967 0.004366225 0.018646682 0.0034710427 0.002582937 0.002098194 0.017893031 0.005937217 0.005661232 0.0038602524 0.008445851 0.008502463 0.0010260983 0.0012207031 0.005162336 0.002151268 0.0036161118 0.0019000509 0.004210541 0.0007536515 0.00120655 0.0007536515 0.0031242922 0.0016771399...
-1
bf6237586e48e2e2eaefc89596e83be2910d77c0c6bbbada794b75e4150ef336
2018-02
-1
nan
train
[ 0.32436367869377136, 0.006970701273530722, 0.006190658546984196, 0.011029904708266258, 0.006682532373815775, 0.003125139744952321, 0.0028220657259225845, 0.0016842962941154838, 0.00914190337061882, 0.001257011666893959, 0.0016097698826342821, 0.0008297270978800952, 0.004888930823653936, 0....
0.32436368 0.0069707013 0.0061906585 0.011029905 0.0066825324 0.0031251397 0.0028220657 0.0016842963 0.009141903 0.0012570117 0.0016097699 0.0008297271 0.004888931 0.0016147384 0.0014954961 0.0053658998 0.005251626 0.0013265697 0.00083469553 0.000770106 0.0030456448 0.0023898128 0.0007154533 0.00078004284 0.0024941496 ...
1
1476fcaf71a6ae44baa15c1e7cbe9f1180b31a9f776c24c8455e6d730ad4556a
2018-02
1
tinba
train
[ 0.15519006550312042, 0.009613174013793468, 0.005558922421187162, 0.006185868754982948, 0.007899521850049496, 0.003803473198786378, 0.003322814591228962, 0.0037825750187039375, 0.008547365665435791, 0.0030302396044135094, 0.002821257570758462, 0.002904850523918867, 0.005705209914594889, 0.0...
0.15519007 0.009613174 0.0055589224 0.0061858688 0.007899522 0.0038034732 0.0033228146 0.003782575 0.008547366 0.0030302396 0.0028212576 0.0029048505 0.00570521 0.0033019164 0.0021734133 0.0072934735 0.004597605 0.0026331737 0.002048024 0.0019226349 0.004367725 0.007983115 0.0018181439 0.001525569 0.0030302396 0.001630...
1
63dbac310da21352f89dd9ae94ba81d95426b58d2c9b89542e48ef1600369d1f
2018-02
1
installmonster
train
[ 0.013835162855684757, 0.00984790176153183, 0.009740308858454227, 0.008287173695862293, 0.009463099762797356, 0.006917581427842379, 0.009977012872695923, 0.006647966802120209, 0.008365653455257416, 0.005230273585766554, 0.0069074551574885845, 0.005187236703932285, 0.0068226465955376625, 0.0...
0.013835163 0.009847902 0.009740309 0.008287174 0.0094631 0.0069175814 0.009977013 0.006647967 0.008365653 0.0052302736 0.006907455 0.0051872367 0.0068226466 0.0043783924 0.006765686 0.0049935696 0.0076821228 0.0050328095 0.0045454777 0.0051302756 0.006665688 0.0042859893 0.0050391383 0.006172027 0.0058138063 0.0042821...
0
f72e372ee9b589de635f96c6db6a335e17fb44dee004081df1ad7aaa49e16ca6
2018-02
0
nan
train
[ 0.603989839553833, 0.0020011640153825283, 0.0017781261121854186, 0.0016422446351498365, 0.0019126350525766611, 0.0015406765742227435, 0.0015132258413359523, 0.0015242061344906688, 0.0020402814261615276, 0.0014425399713218212, 0.0014686182839795947, 0.0014411674346774817, 0.001810380839742720...
0.60398984 0.002001164 0.0017781261 0.0016422446 0.001912635 0.0015406766 0.0015132258 0.0015242061 0.0020402814 0.00144254 0.0014686183 0.0014411674 0.0018103808 0.0014109715 0.0014267558 0.002038909 0.0017966554 0.0014521477 0.0014205793 0.0014219518 0.0015935195 0.0016937149 0.0014102852 0.00144254 0.001493324 0.001...
-1
0780a7359b2f19cef6f1f8629d00f6ccfd751c609815f559cb7d98e4f2c204a5
2018-02
-1
vittalia
train
[ 0.01953624002635479, 0.0045800283551216125, 0.00678935507312417, 0.0039195590652525425, 0.005218870006501675, 0.004794639069586992, 0.00814023893326521, 0.003977786749601364, 0.005297061521559954, 0.0047064656391739845, 0.004001078195869923, 0.004380390048027039, 0.004581691697239876, 0.00...
0.01953624 0.0045800284 0.006789355 0.003919559 0.00521887 0.004794639 0.008140239 0.0039777867 0.0052970615 0.0047064656 0.004001078 0.00438039 0.0045816917 0.0045983284 0.0045450917 0.0068592285 0.0055382904 0.0040975697 0.0042905533 0.0043021985 0.0042323256 0.004224007 0.0035801746 0.0041341702 0.004087588 0.003650...
-1
cb417be3392f6109ca30812f567b683e844d9e776d3d7b3864919932dfc2a335
2018-02
-1
nymaim
train
[ 0.25840669870376587, 0.024559859186410904, 0.0097271129488945, 0.015096831135451794, 0.015492958016693592, 0.00730633782222867, 0.01782570406794548, 0.0043573942966759205, 0.004797535017132759, 0.006338028237223625, 0.00510563375428319, 0.004621478728950024, 0.0024207746610045433, 0.006294...
0.2584067 0.02455986 0.009727113 0.015096831 0.015492958 0.007306338 0.017825704 0.0043573943 0.004797535 0.0063380282 0.0051056338 0.0046214787 0.0024207747 0.006294014 0.0029929578 0.0021126762 0.0028609154 0.0016725352 0.0013204225 0.0055017606 0.0028609154 0.0013644366 0.0029049297 0.0029489438 0.0015845071 0.00198...
0
59db2e49ab7f680a3e9daa737c29ccfd16a677ce18e239080f1c48df207419b2
2018-02
0
nan
train
[ 0.2368614822626114, 0.002681537065654993, 0.0041416543535888195, 0.002676458330824971, 0.0035626860335469246, 0.0028719871770590544, 0.003552528563886881, 0.0028669084422290325, 0.0027424809522926807, 0.002712009008973837, 0.003311291802674532, 0.002955785021185875, 0.0024174463469535112, ...
0.23686148 0.002681537 0.0041416544 0.0026764583 0.003562686 0.0028719872 0.0035525286 0.0028669084 0.002742481 0.002712009 0.0033112918 0.002955785 0.0024174463 0.0030573586 0.0024555363 0.0027983463 0.0015794659 0.0013407685 0.0015058252 0.0012950605 0.0011401611 0.0015464546 0.00077449693 0.0011249251 0.00082274433 ...
1
81beca532f041ec399a2c529bc97c2a6adf2a8ed5f84e7b2c930a65e2744a7a2
2018-02
1
nan
train
[ 0.08511459827423096, 0.008020076900720596, 0.004343477077782154, 0.003931066021323204, 0.008094661869108677, 0.004527745768427849, 0.004137271549552679, 0.0033738724887371063, 0.010191814973950386, 0.0030097223352640867, 0.0030228844843804836, 0.003742409870028496, 0.0068047805689275265, 0...
0.0851146 0.008020077 0.004343477 0.003931066 0.008094662 0.004527746 0.0041372715 0.0033738725 0.010191815 0.0030097223 0.0030228845 0.0037424099 0.0068047806 0.0033782597 0.0029570742 0.004453161 0.0055017374 0.0026806712 0.0024964025 0.0028079043 0.0037994455 0.003154505 0.0025622125 0.002465691 0.003492331 0.003255...
1
435ff645e9fcb4a917b87abdc4fa5be5a4d6c4564a888b200c92ae0f4ba37fbe
2018-02
1
winvnc
train
[ 0.026778874918818474, 0.0038646534085273743, 0.003796725533902645, 0.0038326766807585955, 0.0037195843178778887, 0.0036635801661759615, 0.0036249191034585238, 0.0036572569515556097, 0.003724281443282962, 0.0037401793524622917, 0.004086141008883715, 0.003650211263448, 0.0036827297881245613, ...
0.026778875 0.0038646534 0.0037967255 0.0038326767 0.0037195843 0.0036635802 0.003624919 0.003657257 0.0037242814 0.0037401794 0.004086141 0.0036502113 0.0036827298 0.0036343134 0.0036765875 0.0036966407 0.003656715 0.0036258223 0.003678394 0.0036935695 0.0036384684 0.0037219329 0.00361968 0.003629797 0.0036451528 0.00...
0
e723804a8a3555fa3c3d3b769f168968fbac79e58774ccc7998a371613bf3cdc
2018-02
0
nan
train
[ 0.026329362764954567, 0.004339513834565878, 0.00408505741506815, 0.0038959342055022717, 0.003992214798927307, 0.003950951620936394, 0.0037652673199772835, 0.003840916557237506, 0.0038856184110045433, 0.003937197383493185, 0.003871863940730691, 0.00378246046602726, 0.0035830214619636536, 0....
0.026329363 0.004339514 0.0040850574 0.0038959342 0.003992215 0.0039509516 0.0037652673 0.0038409166 0.0038856184 0.0039371974 0.003871864 0.0037824605 0.0035830215 0.0037308815 0.003775583 0.0037790218 0.0038168463 0.003665548 0.003442039 0.0038340394 0.0037033726 0.0037274428 0.0038856184 0.0036999339 0.0037996534 0....
1
adc006f3151bd9889f37ca5209ee3840e19b77ac415928a9732f2c0c292bd599
2018-02
1
obsidium
train
[ 0.14762774109840393, 0.006955663673579693, 0.003018923569470644, 0.00399800343438983, 0.0072449627332389355, 0.0036065983586013317, 0.0022168271243572235, 0.0012298057554289699, 0.006295380182564259, 0.0010029043769463897, 0.001213922630995512, 0.0010993374744430184, 0.0037087039090692997, ...
0.14762774 0.0069556637 0.0030189236 0.0039980034 0.0072449627 0.0036065984 0.0022168271 0.0012298058 0.00629538 0.0010029044 0.0012139226 0.0010993375 0.003708704 0.0013772917 0.002134008 0.002458477 0.003259439 0.0019547557 0.0046900525 0.0048171175 0.008207025 0.013913596 0.013334997 0.0029519876 0.00478762 0.003285...
-1
2ca77d7a777f769c12d097aa932aaa00e13a590191fd77aa3f74686bdef37692
2018-02
-1
nan
train
[ 0.2343793511390686, 0.00820421427488327, 0.005762821529060602, 0.002725275233387947, 0.009362456388771534, 0.003906227881088853, 0.003094322979450226, 0.0012547621736302972, 0.01066831685602665, 0.001311538740992546, 0.003707509720697999, 0.0021064106840640306, 0.005138279404491186, 0.0040...
0.23437935 0.008204214 0.0057628215 0.0027252752 0.009362456 0.0039062279 0.003094323 0.0012547622 0.010668317 0.0013115387 0.0037075097 0.0021064107 0.0051382794 0.0040595247 0.0008516485 0.0039970702 0.014591577 0.008726559 0.005359708 0.0005904763 0.0024300371 0.02456722 0.0008005496 0.0003406594 0.001339927 0.00030...
0
0f6dcfa8641de95ad414e29a4134ba4e41a1deebc6776210fdac6b345d776763
2018-02
0
nan
train