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
[ 0.18103550374507904, 0.01275038905441761, 0.007521910592913628, 0.008559415116906166, 0.011139526031911373, 0.004072661977261305, 0.003963450901210308, 0.003772331401705742, 0.013692334294319153, 0.0022024225909262896, 0.0025255053769797087, 0.0026074135676026344, 0.007776736281812191, 0.0...
0.1810355 0.012750389 0.0075219106 0.008559415 0.011139526 0.004072662 0.003963451 0.0037723314 0.013692334 0.0022024226 0.0025255054 0.0026074136 0.0077767363 0.0021796704 0.0016063123 0.01691406 0.008864297 0.0016290647 0.001870239 0.001305982 0.0040908637 0.0036767717 0.0010784591 0.0007053213 0.0029168448 0.0013287...
-1
a32ed291b6a55981d0eac6a4772ede027c0f16101dac1f067d5af0cde7d4baaf
2018-04
-1
nan
train
[ 0.16858011484146118, 0.0120292529463768, 0.018329661339521408, 0.006490464322268963, 0.012980232015252113, 0.004082385450601578, 0.002910022623836994, 0.0033903850708156824, 0.013121556490659714, 0.002173466607928276, 0.0023217524867504835, 0.0016555103939026594, 0.005993393249809742, 0.00...
0.16858011 0.012029253 0.018329661 0.0064904643 0.012980232 0.0040823855 0.0029100226 0.003390385 0.0131215565 0.0021734666 0.0023217525 0.0016555104 0.0059933932 0.0017641141 0.0012009065 0.004251557 0.0077888356 0.0017536714 0.0020404966 0.0011528701 0.005946053 0.0022897283 0.00094401685 0.0010860371 0.0026983845 0....
0
ea3bb1393ea6a906ed9a754daa1e5fa1da96f9231fa71f5df85ba72fe0aa1592
2018-04
0
nan
train
[ 0.015119263902306557, 0.0020614329259842634, 0.001653263927437365, 0.0012433045776560903, 0.001035639550536871, 0.0008440865785814822, 0.0006883378373458982, 0.0006614846060983837, 0.0011090384796261787, 0.0006695405463688076, 0.0006247851997613907, 0.0006400020211003721, 0.00095687014982104...
0.015119264 0.002061433 0.0016532639 0.0012433046 0.0010356396 0.0008440866 0.00068833784 0.0006614846 0.0011090385 0.00066954055 0.0006247852 0.000640002 0.00095687015 0.0008127578 0.0005907711 0.0011699058 0.0017749986 0.0006391069 0.00080649205 0.00068923295 0.0007411492 0.0007196666 0.00056749827 0.00060061726 0.00...
1
aa9e63d963b9f4923a097fa9d74744e407b79da240eaf2c52dcd13806087832a
2018-04
1
adposhel
train
[ 0.010714993812143803, 0.004228911828249693, 0.0037919264286756516, 0.004056123085319996, 0.0037615555338561535, 0.0037816062103956938, 0.003938178066164255, 0.003982702270150185, 0.0038284894544631243, 0.003684006864205003, 0.0036689690314233303, 0.003832027781754732, 0.003993022255599499, ...
0.010714994 0.004228912 0.0037919264 0.004056123 0.0037615555 0.0037816062 0.003938178 0.0039827023 0.0038284895 0.0036840069 0.003668969 0.0038320278 0.0039930223 0.003914884 0.0038246561 0.0041699396 0.0036480338 0.0035928946 0.00360233 0.0037718758 0.003664546 0.0037934007 0.0038517835 0.0038261304 0.003822592 0.003...
-1
88bb93e3599ce938197ac258a200a9ac0bdc32ae7575017b132aecd95d2c02df
2018-04
-1
nan
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, 0.0067498465068638325, 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 0.0067498465 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
fcaa994d88456b4fe4f6441eb4e8560c6f1612addac6ec570dc6aecb3d5865cc
2018-04
1
vtflooder
train
[ 0.020007044076919556, 0.006750504486262798, 0.006826736964285374, 0.006211620755493641, 0.006345684640109539, 0.004765835124999285, 0.005988181568682194, 0.0058672609739005566, 0.0063746003434062, 0.004198035690933466, 0.005699024070054293, 0.005118081346154213, 0.005591247696429491, 0.003...
0.020007044 0.0067505045 0.006826737 0.0062116208 0.0063456846 0.004765835 0.0059881816 0.005867261 0.0063746003 0.0041980357 0.005699024 0.0051180813 0.0055912477 0.0039430517 0.0060749287 0.00564645 0.005704282 0.0033095349 0.0044556484 0.004053457 0.005162769 0.0037616715 0.004213808 0.004537138 0.0044530197 0.00301...
1
0a6cbb8cf4d4b858557bd3e1c4f40d7ccda15fa6c53d0708e7e48695b1d7a46e
2018-04
1
dealply
train
[ 0.16219936311244965, 0.007497895043343306, 0.0039926269091665745, 0.0034681190736591816, 0.006421459838747978, 0.002537626540288329, 0.00213517970405519, 0.00189282710198313, 0.007125521078705788, 0.0017681127646937966, 0.0015222221845760942, 0.0012834075605496764, 0.005042526870965958, 0....
0.16219936 0.007497895 0.003992627 0.003468119 0.00642146 0.0025376265 0.0021351797 0.0018928271 0.007125521 0.0017681128 0.0015222222 0.0012834076 0.005042527 0.0015337206 0.0010569759 0.0068601714 0.0046427334 0.0015009942 0.0011525017 0.0010490153 0.0025942344 0.0024580217 0.00092872354 0.0006129576 0.0020688423 0.0...
1
5953554271fc02e79830697013d154710d17d59d96a8ad1467d6d4350b848a96
2018-04
1
zusy
train
[ 0.01021177601069212, 0.003676887834444642, 0.0035410821437835693, 0.003928229678422213, 0.0034579772036522627, 0.0036322949454188347, 0.0035066241398453712, 0.004019442480057478, 0.0031924466602504253, 0.003526893677189946, 0.0033586567733436823, 0.0038329630624502897, 0.003638375783339143, ...
0.010211776 0.0036768878 0.0035410821 0.0039282297 0.0034579772 0.003632295 0.0035066241 0.0040194425 0.0031924467 0.0035268937 0.0033586568 0.003832963 0.0036383758 0.0037903972 0.0039424184 0.004532261 0.0033120369 0.0034113575 0.0034559504 0.003674861 0.0032856865 0.0037437773 0.003713373 0.0041086283 0.0033546027 0...
0
98eb75b1613f1ea42d7760e03538c54cfd2e0e3c9beb0ab311ac8dcfd188a805
2018-04
0
nan
train
[ 0.6151792407035828, 0.0017615340184420347, 0.0016560901422053576, 0.0016919273184612393, 0.001977246254682541, 0.0015568487579002976, 0.0014679450541734695, 0.0014541614800691605, 0.0019283146830275655, 0.0014893094776198268, 0.0014638099819421768, 0.0014617424458265305, 0.001680211280472576...
0.61517924 0.001761534 0.0016560901 0.0016919273 0.0019772463 0.0015568488 0.001467945 0.0014541615 0.0019283147 0.0014893095 0.00146381 0.0014617424 0.0016802113 0.0014789719 0.0014100543 0.0018766265 0.0018070197 0.0014872419 0.0014541615 0.0013997166 0.0014934445 0.0015857941 0.0015182549 0.0014500264 0.0015368627 0...
1
7c6b2978c8136b1c2fb14ab00fdeb16c1def1af1d7363f7e380b0cc3b4965382
2018-04
1
startsurf
train
[ 0.3001534640789032, 0.010439918376505375, 0.005301339086145163, 0.00537109375, 0.00841703824698925, 0.0035807292442768812, 0.0023949032183736563, 0.00197637639939785, 0.01130022294819355, 0.0019298734841868281, 0.0028366814367473125, 0.0025344123132526875, 0.0064406623132526875, 0.00292968...
0.30015346 0.010439918 0.005301339 0.0053710938 0.008417038 0.0035807292 0.0023949032 0.0019763764 0.011300223 0.0019298735 0.0028366814 0.0025344123 0.0064406623 0.0029296875 0.0017903646 0.006859189 0.0051153274 0.0022088913 0.0010695684 0.00088355655 0.0034644718 0.008556548 0.0011858259 0.0007207961 0.001813616 0.0...
0
723372b70f2c29a69ceea83ed5df541151c8915b85900f46948352f08568b1f2
2018-04
0
nan
train
[ 0.2389855533838272, 0.02069341018795967, 0.009918834082782269, 0.015688613057136536, 0.004583409056067467, 0.004486165475100279, 0.004136088769882917, 0.002930270042270422, 0.010729196481406689, 0.0036304229870438576, 0.004525063093751669, 0.007993413135409355, 0.004810310434550047, 0.0021...
0.23898555 0.02069341 0.009918834 0.015688613 0.004583409 0.0044861655 0.004136089 0.00293027 0.0107291965 0.003630423 0.004525063 0.007993413 0.0048103104 0.0021977024 0.0020810103 0.003507248 0.0032544148 0.005640121 0.001335477 0.009134403 0.0022819801 0.0023143946 0.00086870836 0.0014262376 0.0023727408 0.002541296...
-1
adc72d55110e168e20709ba3e664ffb36dc4d1eecd0ecf09f6cdfbef750a0bba
2018-04
-1
nan
train
[ 0.20771685242652893, 0.01280494686216116, 0.006790716201066971, 0.007115427870303392, 0.010941382497549057, 0.004800090566277504, 0.007440140005201101, 0.0039106616750359535, 0.00799073837697506, 0.004108312539756298, 0.0035435960162431, 0.0022729840129613876, 0.006183645687997341, 0.00355...
0.20771685 0.012804947 0.006790716 0.007115428 0.0109413825 0.0048000906 0.00744014 0.0039106617 0.007990738 0.0041083125 0.003543596 0.002272984 0.0061836457 0.003557714 0.0024847526 0.0047718547 0.022828665 0.0016517958 0.00093178224 0.0036424214 0.0028377005 0.004983623 0.0018918003 0.0012706121 0.0021459227 0.00159...
0
290d46ad397b299c08fe6cf4ab6c38ebc2cb0c73fe34254982ec5292c1a80d6e
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, 0.0067498465068638325, 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
c60f518c74513a9006fc84bb3b76d57d2f861b39383fe95d59d7e850d87c378d
2018-04
1
vtflooder
train
[ 0.13397422432899475, 0.01421558577567339, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.0037...
0.13397422 0.014215586 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
15155690e970f7a19a88272fe625083c63884aabca10d52e2e5e5ddba577aab2
2018-04
1
vtflooder
train
[ 0.2646799683570862, 0.02248665690422058, 0.020006798207759857, 0.008506910875439644, 0.01087179034948349, 0.008269389159977436, 0.004356331191956997, 0.00550435297191143, 0.012906107120215893, 0.0032206643372774124, 0.005576466675847769, 0.0035108847077935934, 0.004841712769120932, 0.00343...
0.26467997 0.022486657 0.020006798 0.008506911 0.01087179 0.008269389 0.004356331 0.005504353 0.012906107 0.0032206643 0.0055764667 0.0035108847 0.004841713 0.003439023 0.0019475778 0.011567462 0.008462785 0.0026760283 0.0013817615 0.0013608334 0.0019296753 0.001642733 0.0010766645 0.0010897762 0.0054478724 0.001334610...
0
e02127ae28d97ebbe0458b19d0059a2a6b46a20cfd508529d3fdad23516d1754
2018-04
0
nan
train
[ 0.2698712646961212, 0.0212367195636034, 0.013959689997136593, 0.003095013787969947, 0.005868745502084494, 0.0026880567893385887, 0.0030735949985682964, 0.001970527693629265, 0.005831263028085232, 0.0014350583078339696, 0.0010816483991220593, 0.0011459047673270106, 0.004348012153059244, 0.0...
0.26987126 0.02123672 0.01395969 0.0030950138 0.0058687455 0.0026880568 0.003073595 0.0019705277 0.005831263 0.0014350583 0.0010816484 0.0011459048 0.004348012 0.0012422892 0.0012369346 0.0028701166 0.027432103 0.0011351954 0.0006639822 0.0010816484 0.0021632968 0.006040096 0.00070146506 0.0006104352 0.0016117631 0.001...
0
10eb32774c5d85fa12ef64e2f5e2101fb4887a459af6e48c54b246f2b88c9330
2018-04
0
nan
train
[ 0.010858312249183655, 0.004291757941246033, 0.004147758707404137, 0.0041049481369555, 0.004074786324054003, 0.0038977060467004776, 0.0042547849006950855, 0.0038655982352793217, 0.0038500307127833366, 0.003939543850719929, 0.003932733088731766, 0.003918138332664967, 0.0039064628072083, 0.00...
0.010858312 0.004291758 0.0041477587 0.004104948 0.0040747863 0.003897706 0.004254785 0.0038655982 0.0038500307 0.003939544 0.003932733 0.0039181383 0.003906463 0.0039512194 0.0038539227 0.0038685172 0.0039638677 0.0038208417 0.0038510037 0.004019327 0.0039045168 0.0038033284 0.0039054898 0.0038607335 0.0037974906 0.00...
1
81565c470b10fe6756a24a4426ae3edfb8e40dc5586b6ad9650dd4bbbb38dab4
2018-04
1
subti
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
e74283ee342c8de1484d9213e0cc2ef79ab044c6654f424d6ab530087b6e4527
2018-04
1
vtflooder
train
[ 0.05984879285097122, 0.007378219161182642, 0.004843549802899361, 0.005491784308105707, 0.005885094869881868, 0.0033212911803275347, 0.0032338888850063086, 0.00469787884503603, 0.0037218856159597635, 0.003707318566739559, 0.00321203819476068, 0.0038966904394328594, 0.0035033796448260546, 0....
0.059848793 0.007378219 0.00484355 0.0054917843 0.005885095 0.0033212912 0.003233889 0.004697879 0.0037218856 0.0037073186 0.0032120382 0.0038966904 0.0035033796 0.00315377 0.0028551451 0.009169969 0.003372276 0.003015383 0.0029134133 0.0035179467 0.0040350775 0.0033358582 0.0027021908 0.003481529 0.003124636 0.0034669...
-1
a675a402a762074d8f4c9c90e410c06bec70b005d04a04639cb19e78b1cafea9
2018-04
-1
byfh
train
[ 0.035853780806064606, 0.0040742033161222935, 0.0037830471992492676, 0.003945460543036461, 0.004052415955811739, 0.0037117437459528446, 0.0034423749893903732, 0.0038642538711428642, 0.004151448607444763, 0.003388897283002734, 0.003622614312916994, 0.0038325635250657797, 0.00375729869119823, ...
0.03585378 0.0040742033 0.0037830472 0.0039454605 0.004052416 0.0037117437 0.003442375 0.0038642539 0.0041514486 0.0033888973 0.0036226143 0.0038325635 0.0037572987 0.0038682153 0.0035651755 0.0044307206 0.0038484088 0.0036265757 0.0033591874 0.0034859492 0.0037870086 0.0039573447 0.003606769 0.0036543047 0.0034918913 ...
0
7f8569c7940c905a76f0b8c33f0b85136c17fc9a47244cd48e5097e09a967255
2018-04
0
nan
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
f6aedeb5a85efdca7590745ac08bfeba27a419a41af6c48c6e58187485c5d908
2018-04
1
zusy
train
[ 0.18101368844509125, 0.012766731902956963, 0.00752081535756588, 0.008549069985747337, 0.011119705624878407, 0.004072068724781275, 0.0039628734812140465, 0.003785431617870927, 0.013699440285563469, 0.002197552239522338, 0.0025433367118239403, 0.002616133540868759, 0.0077801537699997425, 0.0...
0.18101369 0.012766732 0.0075208154 0.00854907 0.011119706 0.0040720687 0.0039628735 0.0037854316 0.01369944 0.0021975522 0.0025433367 0.0026161335 0.007780154 0.002179353 0.0015924291 0.016907047 0.008853906 0.0016106283 0.0018836162 0.0013103416 0.004103917 0.0036716866 0.0010692024 0.0007325174 0.0029073206 0.001337...
0
d7bda38513bd02cd4082d16f5e1934f7ad840507e38d510966468d77c57ff71b
2018-04
0
nan
train
[ 0.07397284358739853, 0.006657395511865616, 0.0045846146531403065, 0.0036876657977700233, 0.005577665288001299, 0.003063947195187211, 0.0034153778105974197, 0.0031355523969978094, 0.006390760652720928, 0.002801080932840705, 0.002911315066739917, 0.004959599580615759, 0.003946763463318348, 0...
0.07397284 0.0066573955 0.0045846147 0.0036876658 0.0055776653 0.0030639472 0.0034153778 0.0031355524 0.0063907607 0.002801081 0.002911315 0.0049595996 0.0039467635 0.0026644657 0.002627721 0.0035755471 0.0053336425 0.002616415 0.0028604378 0.00237145 0.0032947797 0.002757741 0.00217642 0.0023648548 0.003198678 0.00228...
1
a676187a24e2f101750ff19081feab5b64e37f0b1e555580a75a2fc96ee54dec
2018-04
1
fareit
train
[ 0.18038851022720337, 0.009987984783947468, 0.016328923404216766, 0.006313344929367304, 0.013183174654841423, 0.0034458376467227936, 0.0027364343404769897, 0.004249521531164646, 0.012044909410178661, 0.0024581917095929384, 0.002183398697525263, 0.002897400874644518, 0.005083099007606506, 0....
0.18038851 0.009987985 0.016328923 0.006313345 0.013183175 0.0034458376 0.0027364343 0.0042495215 0.012044909 0.0024581917 0.0021833987 0.0028974009 0.005083099 0.0018292718 0.0014797441 0.0053578923 0.012872739 0.0014280047 0.0017418899 0.0008933653 0.0030307735 0.0020419778 0.0008542734 0.00084277574 0.002470839 0.00...
1
6187b4d1945ba68e892d6064969747e69236f2589ded0492e808737329c85c20
2018-04
1
delf
train
[ 0.04191367328166962, 0.004890219774097204, 0.004021956119686365, 0.004491018131375313, 0.005062375217676163, 0.00393213564530015, 0.0038348303642123938, 0.004061876330524683, 0.00425898190587759, 0.003690119832754135, 0.003774950047954917, 0.0035129741299897432, 0.003994510974735022, 0.003...
0.041913673 0.00489022 0.004021956 0.004491018 0.005062375 0.0039321356 0.0038348304 0.0040618763 0.004258982 0.0036901198 0.00377495 0.0035129741 0.003994511 0.0039171656 0.0035154691 0.0038597805 0.004019461 0.0033632733 0.0035603791 0.0036252495 0.0035179642 0.0036127744 0.003248503 0.003270958 0.0035553891 0.003305...
1
93ff16e9e8be2ef780da3656f33512e54d4a79389207d3c892fdc8470fbbaab1
2018-04
1
filetour
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005727142561227083, 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 0.0057271426 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.0049089794 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.00153405...
-1
385639a9606c51b78a8c03dd12f7f0fed0c17f593314b8ded521fab57b92b7a5
2018-04
-1
vtflooder
train
[ 0.20165589451789856, 0.01665579527616501, 0.007462451700121164, 0.007421062793582678, 0.006759664975106716, 0.007422718219459057, 0.005955889355391264, 0.0034857885912060738, 0.010739639401435852, 0.003785445587709546, 0.004228308796882629, 0.0053590587340295315, 0.004398004151880741, 0.00...
0.2016559 0.016655795 0.0074624517 0.007421063 0.006759665 0.007422718 0.0059558894 0.0034857886 0.010739639 0.0037854456 0.004228309 0.0053590587 0.004398004 0.00329126 0.004792856 0.013194012 0.010209031 0.0024717562 0.0012367058 0.0010752884 0.001835192 0.0027159518 0.00097347127 0.0009685046 0.0046455106 0.00283598...
0
889555cded36717f35694ae76c7e52c4bc62209c45687991c2fe22de36075fcf
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
15ffecea9b90261e5c05779e647606c312002dec2c00861709d5483d0a5fb9d3
2018-04
-1
vtflooder
train
[ 0.5059839487075806, 0.004202015697956085, 0.0023853452876210213, 0.001608242397196591, 0.0027533110696822405, 0.0009417867986485362, 0.0011836664052680135, 0.0006613092846237123, 0.003265375504270196, 0.0007642367854714394, 0.004379565827548504, 0.0006587360985577106, 0.002712140092626214, ...
0.50598395 0.0042020157 0.0023853453 0.0016082424 0.002753311 0.0009417868 0.0011836664 0.0006613093 0.0032653755 0.0007642368 0.004379566 0.0006587361 0.00271214 0.0043744193 0.0005352231 0.006561629 0.0029128487 0.001821817 0.0012274106 0.00037568543 0.0014461316 0.0030775326 0.00024702604 0.00024445285 0.0013174722 ...
-1
860af856c2e90f0eb4d9a03b1b7191e027517a96c6380214c1e0fbc8da25d12c
2018-04
-1
nan
train
[ 0.48903244733810425, 0.022085336968302727, 0.025991586968302727, 0.012169471010565758, 0.013972355984151363, 0.004206730984151363, 0.010366586968302727, 0.0037560095079243183, 0.007361778989434242, 0.0024038462433964014, 0.007361778989434242, 0.0034555287566035986, 0.0036057692486792803, 0...
0.48903245 0.022085337 0.025991587 0.012169471 0.013972356 0.004206731 0.010366587 0.0037560095 0.007361779 0.0024038462 0.007361779 0.0034555288 0.0036057692 0.0018028846 0.0034555288 0.0018028846 0.00390625 0.00390625 0.0067608175 0.0033052885 0.0034555288 0.0040564905 0.0024038462 0.0013521635 0.0013521635 0.0012019...
-1
d938da0a7f7f6a4fdeddbbb5b55761d7c56142ca0916f7b6d3abe0a000bdcf89
2018-04
-1
nan
train
[ 0.274119108915329, 0.005162806715816259, 0.003526788903400302, 0.002780199283733964, 0.0050656176172196865, 0.0017228989163413644, 0.0021190184634178877, 0.0015550267416983843, 0.00651314714923501, 0.0008202177123166621, 0.0008467238512821496, 0.0006921046879142523, 0.003818356432020664, 0...
0.2741191 0.0051628067 0.003526789 0.0027801993 0.0050656176 0.0017228989 0.0021190185 0.0015550267 0.006513147 0.0008202177 0.00084672385 0.0006921047 0.0038183564 0.0010514101 0.00060375093 0.0022412413 0.003330938 0.0006965224 0.00060227833 0.000768678 0.002632943 0.0021617229 0.00043882383 0.00037403105 0.002217680...
-1
722cbb5a991fc430cca663e0c801c481e01bdcbecc628f2d252e70d584d0640e
2018-04
-1
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003784004831686616, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0037840048 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
-1
76b108e1c73fdf872162d965939cacd2bb89e8d43155898d883cfa22172d9e4f
2018-04
-1
vtflooder
train
[ 0.18143178522586823, 0.012796541675925255, 0.007511013187468052, 0.008564470335841179, 0.011154789477586746, 0.004081576596945524, 0.003963005729019642, 0.0037851494271308184, 0.013722307048738003, 0.002189001999795437, 0.0025355941615998745, 0.0026131211780011654, 0.007775517646223307, 0....
0.18143179 0.012796542 0.007511013 0.00856447 0.0111547895 0.0040815766 0.0039630057 0.0037851494 0.013722307 0.002189002 0.0025355942 0.0026131212 0.0077755176 0.0021753209 0.001591587 0.016941965 0.008865459 0.0016052682 0.0018697726 0.0013134013 0.0040906975 0.0036665786 0.0010534573 0.0007023048 0.002914109 0.00133...
0
be9b4cbcdcec09a552f3acf60249c431e37148bf58429ea004a80d01a0d11ac3
2018-04
0
nan
train
[ 0.180768221616745, 0.012780902907252312, 0.0075013404712080956, 0.008559978567063808, 0.011122520081698895, 0.004093705210834742, 0.003984661307185888, 0.0037711160257458687, 0.013680518604815006, 0.002189973369240761, 0.0025579980574548244, 0.002603433094918728, 0.007769407704472542, 0.00...
0.18076822 0.012780903 0.0075013405 0.008559979 0.01112252 0.004093705 0.0039846613 0.003771116 0.013680519 0.0021899734 0.002557998 0.002603433 0.0077694077 0.0021808865 0.0016129472 0.01690187 0.008850764 0.0016129472 0.0018810144 0.0013176189 0.0041027926 0.003666615 0.0010768126 0.0007315056 0.0029260225 0.00135396...
0
3b6d86dd45fc2ab2875943d582c5ec62a457c7d80d9198ac97db34b4fefc2438
2018-04
0
nan
train
[ 0.14384184777736664, 0.015325154177844524, 0.013802750036120415, 0.01817895844578743, 0.009252392686903477, 0.006123320199549198, 0.00835355743765831, 0.003494224976748228, 0.010566940531134605, 0.0035672553349286318, 0.004606534726917744, 0.003864994738250971, 0.003016718430444598, 0.0030...
0.14384185 0.015325154 0.01380275 0.018178958 0.009252393 0.00612332 0.008353557 0.003494225 0.0105669405 0.0035672553 0.0046065347 0.0038649947 0.0030167184 0.0030111007 0.0017134062 0.012538763 0.0080502 0.0018538493 0.0015280212 0.001410049 0.0026066245 0.0047132713 0.0016572289 0.0010786032 0.0034998427 0.001134780...
0
0f682c196345793e9d7483824029b8a35e193ac8da95c01e6faf4fb376a0969f
2018-04
0
nan
train
[ 0.16677410900592804, 0.015365386381745338, 0.004048775881528854, 0.004021448083221912, 0.00411292864009738, 0.0042708870023489, 0.0028229020535945892, 0.0029562460258603096, 0.006816441193223, 0.0023833317682147026, 0.002051522023975849, 0.0015883063897490501, 0.002028652001172304, 0.00210...
0.16677411 0.015365386 0.004048776 0.004021448 0.0041129286 0.004270887 0.002822902 0.002956246 0.006816441 0.0023833318 0.002051522 0.0015883064 0.002028652 0.0021032703 0.002448453 0.008418896 0.004998465 0.001698199 0.001290608 0.0014096098 0.0017078896 0.0037669705 0.0015175642 0.0015611724 0.0036187025 0.001990276...
0
ae425879eccea13632e0f96d4ce91c820a61541b2e25ffede72e49cd3cd39417
2018-04
0
nan
train
[ 0.03927686810493469, 0.004876857623457909, 0.003983660601079464, 0.004102753475308418, 0.004251619800925255, 0.003983660601079464, 0.004251619800925255, 0.003459651255980134, 0.00428139278665185, 0.003602562937885523, 0.0037752476055175066, 0.003822884988039732, 0.003936023451387882, 0.003...
0.039276868 0.0048768576 0.0039836606 0.0041027535 0.00425162 0.0039836606 0.00425162 0.0034596513 0.004281393 0.003602563 0.0037752476 0.003822885 0.0039360235 0.0034834698 0.0035608804 0.0036382908 0.003412014 0.003941978 0.00390625 0.003924114 0.0034953791 0.0035608804 0.0036144722 0.0033524677 0.0034536966 0.003543...
0
95277ea5f9fd6739559ede2c1b22bf0131f6249cc3bff9b6f192f6e077d2db7c
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
97682b3b134e18f4db43feeec7937493534c1ca6918225a2c0552d374dab74aa
2018-04
1
vtflooder
train
[ 0.06264575570821762, 0.008823072537779808, 0.006529850885272026, 0.0048682368360459805, 0.005460976157337427, 0.004294931422919035, 0.005470693577080965, 0.003867381950840354, 0.004362951032817364, 0.004343516658991575, 0.006471548695117235, 0.004197761416435242, 0.004605876747518778, 0.00...
0.062645756 0.008823073 0.006529851 0.004868237 0.005460976 0.0042949314 0.0054706936 0.003867382 0.004362951 0.0043435167 0.0064715487 0.0041977614 0.0046058767 0.003867382 0.0035855877 0.002924829 0.0037702115 0.003983986 0.0046933303 0.0039937035 0.0035661536 0.0035953047 0.0040034205 0.0036924751 0.0035175683 0.004...
0
61e6a82afee852ed0fb2760359de34101cae713fff7ee09aae8da52a49778e8e
2018-04
0
nan
train
[ 0.009589110501110554, 0.0037652505561709404, 0.003621903946623206, 0.0038428434636443853, 0.0035803078208118677, 0.0036547009367495775, 0.0037750897463411093, 0.00390131794847548, 0.0035466309636831284, 0.003641182091087103, 0.0035622294526547194, 0.003975551109761, 0.0036858979146927595, ...
0.0095891105 0.0037652506 0.003621904 0.0038428435 0.0035803078 0.003654701 0.0037750897 0.003901318 0.003546631 0.003641182 0.0035622295 0.003975551 0.003685898 0.003794048 0.003781409 0.003999869 0.0035015151 0.0035243928 0.0035579097 0.0037762895 0.0035602297 0.0036902975 0.00377037 0.0038753203 0.0036031855 0.00370...
0
c94a984176d5c26750a73c63eaf0e5c22a0b8e555116b4a104af87cd22d3cefa
2018-04
0
nan
train
[ 0.01526248175650835, 0.0022458252497017384, 0.0016550541622564197, 0.0012576263397932053, 0.0010589123703539371, 0.0006928133661858737, 0.0006910231313668191, 0.0007125057163648307, 0.0011448427103459835, 0.0006149389664642513, 0.0006408971385098994, 0.0006041976739652455, 0.0009792478522285...
0.015262482 0.0022458252 0.0016550542 0.0012576263 0.0010589124 0.00069281337 0.00069102313 0.0007125057 0.0011448427 0.00061493897 0.00064089714 0.0006041977 0.0009792479 0.0008951077 0.0007295128 0.0012871649 0.001671166 0.0006131488 0.0008154431 0.00065879925 0.00075815624 0.0006722259 0.00060867326 0.00051647716 0....
1
0d004a90a913074814a48cfccf7dd658ebe39202b8e8367a2bb7ab4c3dd79928
2018-04
1
adposhel
train
[ 0.15650172531604767, 0.009820893406867981, 0.008206615224480629, 0.006456349510699511, 0.010017999447882175, 0.0034692087210714817, 0.0028488612733781338, 0.0032232089433819056, 0.00988506805151701, 0.0025524392258375883, 0.0024210356641560793, 0.0023912405595183372, 0.00499639380723238, 0...
0.15650173 0.009820893 0.008206615 0.0064563495 0.010017999 0.0034692087 0.0028488613 0.003223209 0.009885068 0.0025524392 0.0024210357 0.0023912406 0.004996394 0.001959595 0.0017815888 0.0070667653 0.010045502 0.0025035448 0.0013927257 0.0013117444 0.0033676 0.0023675573 0.001684564 0.001023726 0.0027197497 0.00128729...
0
8b3b88f33d437e32469792159c7c4b819a9dcff337f81a84a66f00cad2786cac
2018-04
0
nan
train
[ 0.04793449863791466, 0.005179306026548147, 0.0031121450010687113, 0.0033443637657910585, 0.0030582370236516, 0.0032614285591989756, 0.003246914828196168, 0.0029981089755892754, 0.0032116672955453396, 0.002973228460177779, 0.0028197981882840395, 0.00285297236405313, 0.0036180501338094473, 0...
0.0479345 0.005179306 0.003112145 0.0033443638 0.003058237 0.0032614286 0.0032469148 0.002998109 0.0032116673 0.0029732285 0.0028197982 0.0028529724 0.0036180501 0.0041094413 0.0058842557 0.005832421 0.006589205 0.0030354299 0.0030851911 0.0032987494 0.0027430833 0.0028156515 0.0027347896 0.0028819998 0.0029276141 0.00...
1
b7386d9a85796972dee35acce3606752049e50232f5bbd67daaa4ef5a72003f4
2018-04
1
noon
train
[ 0.01514611765742302, 0.0020623281598091125, 0.0016452079871669412, 0.0012495703995227814, 0.0010571221355348825, 0.0007554708863608539, 0.0007223518914543092, 0.0007268274785019457, 0.0011421574745327234, 0.000591666204854846, 0.0006695405463688076, 0.0007447295938618481, 0.00098909402731806...
0.015146118 0.0020623282 0.001645208 0.0012495704 0.0010571221 0.0007554709 0.0007223519 0.0007268275 0.0011421575 0.0005916662 0.00066954055 0.0007447296 0.000989094 0.00078679965 0.0006122537 0.0012513605 0.001695334 0.00057555427 0.00083513546 0.00068833784 0.0007339883 0.00071519107 0.00056391786 0.0006596944 0.000...
1
a859fba42789a01bc5c3cbda01f8b6f8bb66f8773110c90caab24af8d3537506
2018-04
1
adposhel
train
[ 0.16078834235668182, 0.01152215525507927, 0.01823757216334343, 0.00668037123978138, 0.012534617446362972, 0.00436525559052825, 0.002768992679193616, 0.003656660206615925, 0.013672729954123497, 0.002705313265323639, 0.002709159627556801, 0.0019086775137111545, 0.005488409660756588, 0.002073...
0.16078834 0.011522155 0.018237572 0.0066803712 0.012534617 0.0043652556 0.0027689927 0.0036566602 0.01367273 0.0027053133 0.0027091596 0.0019086775 0.0054884097 0.002073646 0.001571475 0.004305423 0.0078018154 0.0015150609 0.0017770446 0.0010120351 0.0050678677 0.0020065475 0.0009821184 0.001166319 0.003114743 0.00076...
1
dc2004b57e59c736a3d652528ed28111a2a1e5601dce890c9c62e8219dbb4ac5
2018-04
1
dealply
train
[ 0.04250364005565643, 0.004849793389439583, 0.0040344297885894775, 0.0045032016932964325, 0.005064231809228659, 0.003949651960283518, 0.0038673675153404474, 0.004054377321153879, 0.004233906976878643, 0.00367537047713995, 0.0038399393670260906, 0.003495840821415186, 0.003954638727009296, 0....
0.04250364 0.0048497934 0.00403443 0.0045032017 0.005064232 0.003949652 0.0038673675 0.0040543773 0.004233907 0.0036753705 0.0038399394 0.0034958408 0.0039546387 0.0039197304 0.003533243 0.003832459 0.003997028 0.0033163112 0.003533243 0.0036055534 0.0035307494 0.0036230078 0.0032440007 0.0032440007 0.0035432167 0.0032...
1
251a6dea0b7fa885992898aedef7648f6764d42f840e4556158ae98e8fa2e533
2018-04
1
filetour
train
[ 0.1775936335325241, 0.01168785709887743, 0.00589026790112257, 0.006260984111577272, 0.011207299306988716, 0.003398231463506818, 0.0030721386428922415, 0.0028284271247684956, 0.0119281355291605, 0.002124752849340439, 0.00209042732603848, 0.002066399436444044, 0.008117998018860817, 0.0022551...
0.17759363 0.011687857 0.005890268 0.006260984 0.011207299 0.0033982315 0.0030721386 0.0028284271 0.0119281355 0.0021247528 0.0020904273 0.0020663994 0.008117998 0.00225519 0.0016716553 0.013084908 0.009666081 0.0012494508 0.0015068926 0.0012116927 0.004565301 0.0028936455 0.0013215345 0.0008409765 0.0036247803 0.00111...
-1
24527483f8754e15e761e44db0f306f901e47fcdf860c7b27aa5d7525a2e5390
2018-04
-1
socelars
train
[ 0.09362135827541351, 0.01087886467576027, 0.0051679047755897045, 0.005682545714080334, 0.011815918609499931, 0.00436715641990304, 0.0031517932657152414, 0.00330559560097754, 0.013160943053662777, 0.002231149934232235, 0.005172516219317913, 0.0021559440065175295, 0.008369270712137222, 0.001...
0.09362136 0.010878865 0.005167905 0.0056825457 0.011815919 0.0043671564 0.0031517933 0.0033055956 0.013160943 0.00223115 0.005172516 0.002155944 0.008369271 0.001761741 0.0034090797 0.009062058 0.019771999 0.0016617832 0.0009144724 0.0013131511 0.004051211 0.0010859063 0.0009400383 0.00088341354 0.0029244807 0.0007933...
0
cc29479d5489a766d2ff0f490d7772cf5ed72ba32281aeeea19231b1975c348d
2018-04
0
nan
train
[ 0.4708516001701355, 0.010062591172754765, 0.007538377307355404, 0.00422606011852622, 0.002923976629972458, 0.0007995248306542635, 0.0014848319115117192, 0.0008680555620230734, 0.0010165387066081166, 0.0008566337637603283, 0.0015190972480922937, 0.0003198099439032376, 0.00029696637648157775, ...
0.4708516 0.010062591 0.0075383773 0.00422606 0.0029239766 0.00079952483 0.0014848319 0.00086805556 0.0010165387 0.00085663376 0.0015190972 0.00031980994 0.00029696638 0.00030838815 0.00038834065 7.9952486e-05 0.000525402 0.00060535455 0.0010393823 0.0014048794 0.00025127924 0.00025127924 0.00021701389 0.00018274854 0....
-1
83042ac8ef0a0f93d96a54e66493a3a6f7200c59255a786b676c4146e571bd7d
2018-04
-1
high
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004602168221026659, 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 0.004602168 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
3f7d1b818e0b3cfc913fe1b3fdccc8e58e0b177ac547590e6785a2bce83cc6bf
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, 0.0067498465068638325, 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
b32598b3e25b7fa40efd8206dc53fff7d90126c84dbde0296965c9559bc65c4b
2018-04
1
vtflooder
train
[ 0.03890496492385864, 0.004878451582044363, 0.004044934641569853, 0.0045105027966201305, 0.00509621761739254, 0.00395232206210494, 0.0038471936713904142, 0.004042431712150574, 0.004315264523029327, 0.003686998039484024, 0.0038071447052061558, 0.003511784365400672, 0.004007388837635517, 0.00...
0.038904965 0.0048784516 0.0040449346 0.004510503 0.0050962176 0.003952322 0.0038471937 0.0040424317 0.0043152645 0.003686998 0.0038071447 0.0035117844 0.004007389 0.0039297943 0.0035192936 0.0038321752 0.0040349225 0.0033490858 0.0035593424 0.003626925 0.0035468272 0.003626925 0.003268988 0.003263982 0.0035468272 0.00...
1
7480a7a5877dfa6c0f177fab07ecd27569fc9c9436513dc852bbba8795a2754e
2018-04
1
filetour
train
[ 0.2051163613796234, 0.0162688996642828, 0.007162038236856461, 0.004922111518681049, 0.004775752779096365, 0.0060436660423874855, 0.003208758542314172, 0.0030568318907171488, 0.011176565662026405, 0.0031498968601226807, 0.003553974675014615, 0.00200288905762136, 0.004578486550599337, 0.0052...
0.20511636 0.0162689 0.0071620382 0.0049221115 0.004775753 0.006043666 0.0032087585 0.003056832 0.011176566 0.0031498969 0.0035539747 0.002002889 0.0045784866 0.0052577825 0.0016179016 0.008528585 0.011503487 0.0040900935 0.0009791725 0.00094735535 0.0012265508 0.0023011747 0.00081372337 0.00075008906 0.004267474 0.002...
-1
207558c0a1be5afc6e06483518a82789a8c7d519019f8bb16404dc0cbb2b3b2b
2018-04
-1
nan
train
[ 0.29296359419822693, 0.007966897450387478, 0.0033761528320610523, 0.004240777343511581, 0.0059906127862632275, 0.0029438405763357878, 0.00428194971755147, 0.0013381093740463257, 0.0058876811526715755, 0.0020792160648852587, 0.001482213381677866, 0.0011940052499994636, 0.004487812984734774, ...
0.2929636 0.007966897 0.0033761528 0.0042407773 0.005990613 0.0029438406 0.0042819497 0.0013381094 0.005887681 0.002079216 0.0014822134 0.0011940052 0.004487813 0.0025938735 0.0010910737 0.0029644268 0.01618083 0.0007822793 0.0008234519 0.0013586957 0.0019556982 0.0019762847 0.0010499012 0.0009057971 0.0012763505 0.000...
0
1b9a10052a872e7950c03c7d264a07fd03495b44dbd3046f763f0896ce9b5ccb
2018-04
0
nan
train
[ 0.23577281832695007, 0.001972273224964738, 0.001263786805793643, 0.0005553002702072263, 0.0016276041278615594, 0.0004212622588966042, 0.00034466912620700896, 0.00024892771034501493, 0.0017041972605511546, 0.00026807599351741374, 0.0007659313851036131, 0.0002297794126207009, 0.001416973071172...
0.23577282 0.0019722732 0.0012637868 0.00055530027 0.0016276041 0.00042126226 0.00034466913 0.0002489277 0.0017041973 0.000268076 0.0007659314 0.00022977941 0.0014169731 9.574142e-05 0.00032552084 0.00045955883 0.0024126838 0.00015318628 0.0005170037 9.574142e-05 0.00093826593 0.00034466913 0.00015318628 0.000114889706...
-1
89b92b0f9efeb4b1dddc5fb2f5c75185478be3351641470b2b7571a67106048c
2018-04
-1
nan
train
[ 0.2648676633834839, 0.012256856076419353, 0.00673628831282258, 0.005201689898967743, 0.007114955224096775, 0.005141900386661291, 0.0036272320430725813, 0.0030891261994838715, 0.011280293576419353, 0.0025310905184596777, 0.0027104592882096767, 0.0012954400153830647, 0.007075095549225807, 0....
0.26486766 0.012256856 0.0067362883 0.00520169 0.007114955 0.0051419004 0.003627232 0.0030891262 0.011280294 0.0025310905 0.0027104593 0.00129544 0.0070750955 0.0028101085 0.0012755102 0.008450255 0.0076530613 0.0010762117 0.00061782525 0.0010762117 0.0027303891 0.004025829 0.0013552296 0.00081712374 0.0023716518 0.000...
-1
c5c4fa15ae00e1f5c5044968f1e98b76c1d6104996358018a2459c830c9c3cfc
2018-04
-1
nan
train
[ 0.5568814873695374, 0.004798130597919226, 0.006165473256260157, 0.02995723858475685, 0.0048727127723395824, 0.002461217110976577, 0.002088305540382862, 0.002933572046458721, 0.010963603854179382, 0.0015662291552871466, 0.0013424820499494672, 0.0014419251820072532, 0.0026103819254785776, 0....
0.5568815 0.0047981306 0.0061654733 0.029957239 0.004872713 0.002461217 0.0020883055 0.002933572 0.010963604 0.0015662292 0.001342482 0.0014419252 0.002610382 0.0017402546 0.0014170645 0.0015413683 0.009322792 0.0070853224 0.003157319 0.0035053699 0.0014170645 0.0019888624 0.0014916467 0.001243039 0.001342482 0.0001988...
0
1edb99393c68a77b551934450bf7ccbdf7118d6b3590a82e7acd18ce4e666f34
2018-04
0
nan
train
[ 0.012630915269255638, 0.006259540561586618, 0.005144377704709768, 0.005192609503865242, 0.00550055131316185, 0.004098647274076939, 0.006752989254891872, 0.0069342562928795815, 0.005458149593323469, 0.005139607470482588, 0.003432411700487137, 0.004371607676148415, 0.005062754265964031, 0.00...
0.012630915 0.0062595406 0.0051443777 0.0051926095 0.0055005513 0.0040986473 0.0067529893 0.0069342563 0.0054581496 0.0051396075 0.0034324117 0.0043716077 0.0050627543 0.0035378858 0.0080738 0.012914476 0.0048655868 0.0035087347 0.005186249 0.0034059107 0.0031578613 0.001849241 0.0066241943 0.005105686 0.004794564 0.00...
-1
e579bbfd31745d1c6bdb96289e032671ee9ab26587a911e3f8226d56de114b1d
2018-04
-1
xtrat
train
[ 0.10677681863307953, 0.02668764442205429, 0.0060845231637358665, 0.008431311696767807, 0.005614888854324818, 0.0061452994123101234, 0.003259812481701374, 0.003291581990197301, 0.008360866457223892, 0.0028896303847432137, 0.005769592244178057, 0.0032004176173359156, 0.005121773108839989, 0....
0.10677682 0.026687644 0.006084523 0.008431312 0.005614889 0.0061452994 0.0032598125 0.003291582 0.008360866 0.0028896304 0.0057695922 0.0032004176 0.005121773 0.0029959888 0.004232231 0.005130061 0.0047377786 0.0028661487 0.0050692847 0.0032611939 0.0036382824 0.0045278245 0.0034048466 0.0029255436 0.0031589794 0.0034...
1
e810cd8f076186869933cbc49fa30de11762e754c70b4d7bea6be2bb874ed880
2018-04
1
barys
train
[ 0.119770348072052, 0.010983524844050407, 0.004339918494224548, 0.008070037700235844, 0.0070519219152629375, 0.005564867053180933, 0.003073960542678833, 0.0035981740802526474, 0.011566578410565853, 0.0019577776547521353, 0.001955994637683034, 0.0016635761130601168, 0.006434990558773279, 0.0...
0.11977035 0.010983525 0.0043399185 0.008070038 0.007051922 0.005564867 0.0030739605 0.003598174 0.011566578 0.0019577777 0.0019559946 0.0016635761 0.0064349906 0.0029562798 0.0020059196 0.009360959 0.0073817843 0.0015512445 0.0013872049 0.0017562942 0.005973183 0.002375009 0.0017669924 0.0013568932 0.003769346 0.00142...
1
abddd17132c23b3036a98d63f86fe62932898afc3aaa39a9641d0e73a9ebd6ab
2018-04
1
downloadguide
train
[ 0.010458443313837051, 0.00401252880692482, 0.0037496848963201046, 0.005767039954662323, 0.00371696799993515, 0.00514763779938221, 0.0037647956050932407, 0.003968860022723675, 0.0037832336965948343, 0.003785728942602873, 0.0037363762967288494, 0.0038453401066362858, 0.00380208739079535, 0.0...
0.010458443 0.004012529 0.003749685 0.00576704 0.003716968 0.005147638 0.0037647956 0.00396886 0.0037832337 0.003785729 0.0037363763 0.00384534 0.0038020874 0.0038130393 0.004218396 0.00437893 0.0036834194 0.0036767651 0.0036572183 0.003722236 0.003963176 0.004214791 0.0038135936 0.0038418744 0.0037234838 0.003752319 0...
0
70e67be7e4d73770de85420a9f42672b1c8fb0fb436ebbcb26b7c3357b52fd77
2018-04
0
nan
train
[ 0.009176036342978477, 0.003986962139606476, 0.0037637841887772083, 0.003865751437842846, 0.003940977156162262, 0.0036883086431771517, 0.003714800113812089, 0.00393347954377532, 0.0038192663341760635, 0.0036795614287257195, 0.003684809897094965, 0.0038085198029875755, 0.0037565366365015507, ...
0.009176036 0.003986962 0.0037637842 0.0038657514 0.003940977 0.0036883086 0.0037148 0.0039334795 0.0038192663 0.0036795614 0.00368481 0.0038085198 0.0037565366 0.0037542873 0.003789526 0.0040761833 0.0037392923 0.0036665658 0.0036963061 0.0037640342 0.00368481 0.0037935246 0.0037375428 0.0039427266 0.0037315446 0.0037...
0
ef35e75886586d9a7c94be6aa67de7328eb87ecf0a2dceca2af79053de3a7458
2018-04
0
nan
train
[ 0.16969093680381775, 0.013795512728393078, 0.00657705357298255, 0.007711684796959162, 0.010690093040466309, 0.009271803312003613, 0.00852667260915041, 0.0025296357925981283, 0.013774343766272068, 0.0013907705433666706, 0.002887383569031954, 0.0026227773632854223, 0.009354360401630402, 0.00...
0.16969094 0.013795513 0.0065770536 0.007711685 0.010690093 0.009271803 0.008526673 0.0025296358 0.013774344 0.0013907705 0.0028873836 0.0026227774 0.00935436 0.0014648603 0.00207663 0.009570279 0.018223962 0.0011515665 0.001157917 0.0016405588 0.0050592716 0.0017358171 0.0010097375 0.0007853514 0.004737511 0.000732430...
0
f90af03b69fc5d5c24ec8931c4d73608be71c7d69eec0f1839ae9265798bb622
2018-04
0
nan
train
[ 0.01150476559996605, 0.004088522866368294, 0.0038385693915188313, 0.004035537131130695, 0.004147267434746027, 0.003918047528713942, 0.003848935943096876, 0.003962969873100519, 0.003904225304722786, 0.0037919189780950546, 0.003892130684107542, 0.003785007866099477, 0.003948571626096964, 0.0...
0.011504766 0.004088523 0.0038385694 0.004035537 0.0041472674 0.0039180475 0.003848936 0.00396297 0.0039042253 0.003791919 0.0038921307 0.0037850079 0.0039485716 0.00388234 0.0038558473 0.0038760046 0.003981976 0.0038022858 0.0037901911 0.0038955864 0.0038091969 0.003881188 0.003808621 0.0037896154 0.0038973142 0.00378...
1
caa9ca4878d138724e721963fe60a45dc5e3fbb505115029036756d71a5459e8
2018-04
1
installcore
train
[ 0.04252433404326439, 0.004846816882491112, 0.0040090954862535, 0.004525191616266966, 0.005091152153909206, 0.003944271709769964, 0.0038570088800042868, 0.0040739187970757484, 0.004273376427590847, 0.003684976836666465, 0.0038320766761898994, 0.003560316050425172, 0.003954244311898947, 0.00...
0.042524334 0.004846817 0.0040090955 0.0045251916 0.005091152 0.0039442717 0.0038570089 0.004073919 0.0042733764 0.0036849768 0.0038320767 0.003560316 0.0039542443 0.0039068735 0.003515438 0.0038545157 0.004016575 0.003343406 0.0035528364 0.003605194 0.0035279042 0.0036301261 0.0032337043 0.0032735958 0.0035104516 0.00...
1
301049a25b8d8ec972ce0cef89968f30ef24523bda13ebbf3008803c0d893aee
2018-04
1
filetour
train
[ 0.009810837917029858, 0.003751473966985941, 0.0031461194157600403, 0.004698218312114477, 0.0032849216368049383, 0.0032987617887556553, 0.0036337326746433973, 0.005097375251352787, 0.003283918835222721, 0.0029976891819387674, 0.003087750170379877, 0.0034532095305621624, 0.0043823025189340115,...
0.009810838 0.003751474 0.0031461194 0.0046982183 0.0032849216 0.0032987618 0.0036337327 0.0050973753 0.0032839188 0.0029976892 0.0030877502 0.0034532095 0.0043823025 0.0032973578 0.0034530088 0.0063698636 0.0032672705 0.0031300727 0.0030311863 0.0033246367 0.0033749826 0.0031683838 0.0034883113 0.0037532793 0.00410409...
-1
56a091cf28f2ca694e42ba11539b4149ce0f7a34907a501caf01c80a8f0c14d2
2018-04
-1
nan
train
[ 0.015164019539952278, 0.0021813774947077036, 0.0016398372827097774, 0.0012039198772981763, 0.0010087863774970174, 0.000713400833774358, 0.0006758063100278378, 0.0007223518914543092, 0.0010911362478509545, 0.0006194145535118878, 0.000628365611191839, 0.0006122536724433303, 0.00092643644893541...
0.01516402 0.0021813775 0.0016398373 0.0012039199 0.0010087864 0.00071340083 0.0006758063 0.0007223519 0.0010911362 0.00061941455 0.0006283656 0.0006122537 0.00092643645 0.00077337306 0.0006059879 0.0011654302 0.0016675857 0.00058182003 0.0007787437 0.00067849166 0.00075099536 0.0006874427 0.00056391786 0.0005764494 0....
1
5417efbc8289d1d67b4bc720c1fbbfb13a4bb7bce7fb289d2c924c6e1dbd7309
2018-04
1
adposhel
train
[ 0.2208758443593979, 0.006590135861188173, 0.0032286352943629026, 0.0035607994068413973, 0.006111819762736559, 0.05911192670464516, 0.002165710087865591, 0.0020195578690618277, 0.0049293152987957, 0.0016608205623924732, 0.0014083757996559143, 0.001222363905981183, 0.005181760061532259, 0.00...
0.22087584 0.006590136 0.0032286353 0.0035607994 0.0061118198 0.059111927 0.00216571 0.0020195579 0.0049293153 0.0016608206 0.0014083758 0.0012223639 0.00518176 0.001833546 0.0014216624 0.012250213 0.005832802 0.0012755102 0.0011825042 0.0013552296 0.0024314413 0.006324405 0.0016209609 0.0011825042 0.0020992772 0.00104...
1
ef69500debcbd8778e80620f5ad06fdc5c9d1e486d071605685efeb6f84a80c3
2018-04
1
gandcrab
train
[ 0.01808900199830532, 0.005215669050812721, 0.0055308411829173565, 0.004146755672991276, 0.0053650024347007275, 0.004028074909001589, 0.0040453658439219, 0.003921969328075647, 0.0037781374994665384, 0.004604973364621401, 0.005077339243143797, 0.0038795270957052708, 0.0038284393958747387, 0....
0.018089002 0.005215669 0.005530841 0.0041467557 0.0053650024 0.004028075 0.004045366 0.0039219693 0.0037781375 0.0046049734 0.0050773392 0.003879527 0.0038284394 0.0035557093 0.0037301937 0.0038968185 0.0036060112 0.0038543763 0.0040768045 0.00469143 0.003832369 0.0037356955 0.0038182219 0.0038402288 0.0038276534 0.00...
0
ecfd09f1d764f90c2dffd703b7024140e213b9aa2d50cf4ccbcdd0b7d6e83083
2018-04
0
nan
train
[ 0.7767857313156128, 0.0029761905316263437, 0.01785714365541935, 0, 0, 0, 0, 0, 0.010416666977107525, 0.0014880952658131719, 0, 0.0029761905316263437, 0, 0, 0, 0, 0.0059523810632526875, 0.0014880952658131719, 0, 0, 0, 0, 0, 0, 0.0014880952658131719, 0, 0.0014880952...
0.77678573 0.0029761905 0.017857144 0.0 0.0 0.0 0.0 0.0 0.010416667 0.0014880953 0.0 0.0029761905 0.0 0.0 0.0 0.0 0.005952381 0.0014880953 0.0 0.0 0.0 0.0 0.0 0.0 0.0014880953 0.0 0.0014880953 0.0 0.0 0.0 0.0 0.0 0.014880952 0.0014880953 0.0 0.0 0.0029761905 0.0 0.0 0.0 0.0014880953 0.0 0.0014880953 0.0 0.0 0.0 0.00297...
0
4c129d103de875c537f4c68c7f8038500ef63ed212cfb44b5917789828267ac8
2018-04
0
nan
train
[ 0.1642122119665146, 0.025960002094507217, 0.025578904896974564, 0.008304751478135586, 0.016285115852952003, 0.003786022774875164, 0.011657502502202988, 0.00411721458658576, 0.005956918001174927, 0.003717969637364149, 0.024551302194595337, 0.0034661730751395226, 0.0031599339563399553, 0.003...
0.16421221 0.025960002 0.025578905 0.0083047515 0.016285116 0.0037860228 0.0116575025 0.0041172146 0.005956918 0.0037179696 0.024551302 0.003466173 0.003159934 0.0032257186 0.002849158 0.002186774 0.0037157012 0.00575049 0.0067894347 0.00437128 0.0026495354 0.0040741144 0.004688861 0.0036998221 0.003144055 0.002896795 ...
0
cb8d527e3f245f8d82ae9a3ee64e0896f5c37b71d071366cdf62367e4ba2d451
2018-04
0
nan
train
[ 0.04291445389389992, 0.00484900176525116, 0.0038065453991293907, 0.0031905483920127153, 0.009634824469685555, 0.0037433661054819822, 0.0035854182206094265, 0.003253727685660124, 0.007123452145606279, 0.0032063431572169065, 0.0034748546313494444, 0.003001010976731777, 0.004643669351935387, ...
0.042914454 0.0048490018 0.0038065454 0.0031905484 0.0096348245 0.003743366 0.0035854182 0.0032537277 0.007123452 0.0032063432 0.0034748546 0.003001011 0.0046436694 0.002922037 0.0036643923 0.004596285 0.013378191 0.003143164 0.0037749559 0.002069118 0.0043435683 0.007739449 0.0032853172 0.0022586556 0.0041066464 0.002...
0
ff3953bf2dc2324721a2342926673fb782737470a84bdb683923ee4df0235854
2018-04
0
nan
train
[ 0.6962751150131226, 0.0011655971175059676, 0.0014432198368012905, 0.0010142299579456449, 0.0009381975396536291, 0.0014704241184517741, 0.0012360491091385484, 0.0008803013479337096, 0.0008496093796566129, 0.0008419363875873387, 0.0010804967023432255, 0.0008356584585271776, 0.00080357142724096...
0.6962751 0.0011655971 0.0014432198 0.00101423 0.00093819754 0.0014704241 0.0012360491 0.00088030135 0.0008496094 0.0008419364 0.0010804967 0.00083565846 0.0008035714 0.0007373047 0.0011104911 0.0010121373 0.0012255859 0.0025299944 0.0017515346 0.0015171596 0.00081473216 0.0007819476 0.0011139788 0.0007645089 0.0008879...
1
6dc38a586cf2085c966fddf90c07925832f16a19c97c6ec995df7523df6c6992
2018-04
1
high
train
[ 0.06641339510679245, 0.006180673372000456, 0.0038072948809713125, 0.0040380400605499744, 0.007425048854202032, 0.0032881181687116623, 0.003189227543771267, 0.003304600017145276, 0.004606661852449179, 0.003082095878198743, 0.002983205020427704, 0.0032551547046750784, 0.00421109888702631, 0....
0.066413395 0.0061806734 0.0038072949 0.00403804 0.007425049 0.0032881182 0.0031892275 0.0033046 0.004606662 0.0030820959 0.002983205 0.0032551547 0.004211099 0.0031068185 0.003312841 0.01037529 0.0036671995 0.0030161687 0.0030903367 0.0031150593 0.003312841 0.0033705272 0.0028925552 0.0031892275 0.0033210819 0.0034364...
-1
7773bbd103389ecb8f50f1f9e2a18d911b0c296355ae048381d910ff7afa361d
2018-04
-1
vtflooder
train
[ 0.04268026724457741, 0.002822884824126959, 0.002469084458425641, 0.002005163813009858, 0.0031899528112262487, 0.0007261753198690712, 0.0022563620004802942, 0.0011056262301281095, 0.003719768952578306, 0.0016005045035853982, 0.0009048444917425513, 0.0017530809855088592, 0.0016106762923300266,...
0.042680267 0.0028228848 0.0024690845 0.0020051638 0.0031899528 0.0007261753 0.002256362 0.0011056262 0.003719769 0.0016005045 0.0009048445 0.001753081 0.0016106763 0.00047188127 0.00078322564 0.0016252706 0.0025615147 0.0004510955 0.00097295106 0.00033566813 0.00096410606 0.00094199355 0.0011710793 0.0016177522 0.0007...
-1
c6401995256fd806d1c5898c3d370949b5c8c36e2f5f535db8525971216ce3a4
2018-04
-1
fareit
train
[ 0.007111034356057644, 0.004238315857946873, 0.004211753141134977, 0.004168642684817314, 0.004162981640547514, 0.004361550789326429, 0.004101146478205919, 0.004042794927954674, 0.004247895907610655, 0.004038875922560692, 0.0043005864135921, 0.004096792079508305, 0.004183447919785976, 0.0041...
0.0071110344 0.004238316 0.004211753 0.0041686427 0.0041629816 0.004361551 0.0041011465 0.004042795 0.004247896 0.004038876 0.0043005864 0.004096792 0.004183448 0.0041146455 0.003999685 0.004077632 0.0041760453 0.0040628263 0.003917383 0.003891691 0.0042217686 0.0043850653 0.0039805244 0.0039125932 0.0041677714 0.00398...
0
acd4b20bcd4a1825369cd6a7501b56838412ef1d4e6d82e4b01aea86d7d3cbab
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
a2b2e5eb809a0e9cda4938d0f341a3a32fc769e4160fe92de28ccd9c9c02124a
2018-04
1
vtflooder
train
[ 0.07079587876796722, 0.006954065524041653, 0.007853529416024685, 0.004340249579399824, 0.006677513942122459, 0.002041917759925127, 0.0033038523979485035, 0.002241947688162327, 0.0076414174400269985, 0.0023412916343659163, 0.004338907543569803, 0.0023318941239267588, 0.0042019737884402275, ...
0.07079588 0.0069540655 0.007853529 0.0043402496 0.006677514 0.0020419178 0.0033038524 0.0022419477 0.0076414174 0.0023412916 0.0043389075 0.0023318941 0.004201974 0.0016109805 0.001029685 0.0018969295 0.010711677 0.00048060916 0.00039066275 0.0004953765 0.0018338327 0.0009316837 0.0005074588 0.00039066275 0.0007974353...
0
5ef7e1dce2ecd77eee647daf878396fb618adeaa651e5c43b51dea30e63ebf2d
2018-04
0
nan
train
[ 0.09696152806282043, 0.00715569918975234, 0.005243916995823383, 0.004087258595973253, 0.005369771271944046, 0.0033620998729020357, 0.0035538775846362114, 0.0032841903157532215, 0.005699388682842255, 0.0035658637061715126, 0.003434016602113843, 0.0032662111334502697, 0.0038535299245268106, ...
0.09696153 0.007155699 0.005243917 0.0040872586 0.0053697713 0.0033620999 0.0035538776 0.0032841903 0.0056993887 0.0035658637 0.0034340166 0.0032662111 0.00385353 0.0032062808 0.0030564545 0.004458828 0.0043449597 0.0032662111 0.0030924128 0.0027927605 0.0032901834 0.004740501 0.0028407048 0.0027148507 0.003493947 0.00...
0
ada064c42444c4b4d4be281142a0495493f65b93c1829c70dc4f7a3e48c52afa
2018-04
0
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007465739268809557, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.0074657393 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056...
1
913873076b87b0a42f07176b0cde3197c42ca47efaa8c0109338c8a4d82818a3
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
66caeee1f4548ec7e8e06ac42026cfc883bd1fd823709b64ab5f27204900437b
2018-04
1
vtflooder
train
[ 0.1342346966266632, 0.024387754499912262, 0.01045918371528387, 0.016785714775323868, 0.01607142947614193, 0.008265306241810322, 0.020867347717285156, 0.0057142856530845165, 0.0044387755915522575, 0.007806122303009033, 0.007755102124065161, 0.004744898062199354, 0.0029081632383167744, 0.006...
0.1342347 0.024387754 0.010459184 0.016785715 0.01607143 0.008265306 0.020867348 0.0057142857 0.0044387756 0.0078061223 0.007755102 0.004744898 0.0029081632 0.0069897957 0.003367347 0.0028061224 0.003877551 0.0027040816 0.001377551 0.011428571 0.0023469387 0.0034183674 0.003010204 0.003010204 0.002244898 0.0016836735 0...
-1
e96e2b455d47d3397d9f248deedab5eb263c2eda5762713c9a2c0d952c3536d0
2018-04
-1
nan
train
[ 0.21136018633842468, 0.012760902754962444, 0.008337220177054405, 0.0029296875, 0.006573577411472797, 0.005072294734418392, 0.005327367223799229, 0.0028422342147678137, 0.003767782123759389, 0.0019822760950773954, 0.002732917433604598, 0.0011879081139340997, 0.002674615243449807, 0.00123892...
0.21136019 0.012760903 0.00833722 0.0029296875 0.0065735774 0.0050722947 0.005327367 0.0028422342 0.0037677821 0.001982276 0.0027329174 0.0011879081 0.0026746152 0.0012389226 0.0028203707 0.0015012827 0.0031264576 0.0026746152 0.0039864155 0.002550723 0.004875525 0.0023320895 0.00070691464 0.000597598 0.0006850513 0.00...
1
dc55e4f9292ac08d65be3e42587888354d0a4e829fb733869ac5d209abe65baa
2018-04
1
dotdo
train
[ 0.16222576797008514, 0.007499115541577339, 0.003993276506662369, 0.0034686836879700422, 0.006422505248337984, 0.002538039581850171, 0.0021355273202061653, 0.001893135136924684, 0.007126681040972471, 0.0017684005433693528, 0.0015224699163809419, 0.001283616409637034, 0.005043347366154194, 0...
0.16222577 0.0074991155 0.0039932765 0.0034686837 0.0064225052 0.0025380396 0.0021355273 0.0018931351 0.007126681 0.0017684005 0.0015224699 0.0012836164 0.0050433474 0.0015339702 0.0010571479 0.006861288 0.004643489 0.0015030078 0.00115092 0.0010491861 0.0025946568 0.0024584217 0.0009288747 0.00061305735 0.002069179 0....
1
b3e3faef0d489c82a8b004da5fce93eeac6015324b74526902e87b0d854f3679
2018-04
1
zusy
train
[ 0.052336402237415314, 0.0069247158244252205, 0.007604329846799374, 0.004647090565413237, 0.006606338080018759, 0.004291976802051067, 0.006685932632535696, 0.0049164872616529465, 0.004855260718613863, 0.004083806648850441, 0.004824647214263678, 0.0036980798467993736, 0.0035388909745961428, ...
0.052336402 0.006924716 0.00760433 0.0046470906 0.006606338 0.004291977 0.0066859326 0.0049164873 0.0048552607 0.0040838066 0.004824647 0.0036980798 0.003538891 0.0034286834 0.0034470514 0.003349089 0.003783797 0.0057797804 0.0034103154 0.0038266557 0.0033062303 0.0029939753 0.0037654291 0.003961354 0.003245004 0.00320...
1
e6c650e1cde48a143f202a1be8b61f3b7e128de6fde587f06db02d819f1f70ef
2018-04
1
nan
train
[ 0.04788069799542427, 0.005210342817008495, 0.003952800761908293, 0.003914957400411367, 0.004079057369381189, 0.00414402736350894, 0.0037823377642780542, 0.0035857525654137135, 0.0037511922419071198, 0.00354322069324553, 0.0036500529386103153, 0.0035465694963932037, 0.0037260749377310276, 0...
0.047880698 0.005210343 0.0039528008 0.0039149574 0.0040790574 0.0041440274 0.0037823378 0.0035857526 0.0037511922 0.0035432207 0.003650053 0.0035465695 0.003726075 0.0035422158 0.0035378623 0.004668478 0.0037887008 0.0036128794 0.003591111 0.00367584 0.0036657932 0.0035941252 0.003568003 0.003456482 0.0035700125 0.003...
-1
62249860efe088066bbacc2df1ff4b3fe79fd3ba8b3c305a8eb3677ce0d7dfa0
2018-04
-1
high
train
[ 0.28148001432418823, 0.008355377241969109, 0.004527169745415449, 0.004766775295138359, 0.017884818837046623, 0.002309110015630722, 0.00238167610950768, 0.0024980558082461357, 0.006226313300430775, 0.0017395340837538242, 0.0021393324714154005, 0.0016142547829076648, 0.004267711658030748, 0....
0.28148 0.008355377 0.0045271697 0.0047667753 0.017884819 0.00230911 0.002381676 0.0024980558 0.0062263133 0.0017395341 0.0021393325 0.0016142548 0.0042677117 0.0015752333 0.0014581691 0.0050289715 0.0051549356 0.0014882908 0.0012760691 0.0010925999 0.0036317308 0.0024426042 0.0020900422 0.0009324067 0.003133352 0.0010...
-1
d3cc21c7970c0a9af2e55c89e5a45a135794167305d5728ee87ce2d3d61dff92
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
3ebfbb1e12ea89783ce017cac48ba7e599db27fb13deed0a73b78dac1e417962
2018-04
-1
vtflooder
train
[ 0.1800232082605362, 0.01683102734386921, 0.008352447301149368, 0.005779813975095749, 0.006290653720498085, 0.008221947588026524, 0.007298749405890703, 0.003631667699664831, 0.011636278592050076, 0.003050969447940588, 0.0053344666957855225, 0.003092205384746194, 0.0035346420481801033, 0.003...
0.18002321 0.016831027 0.008352447 0.005779814 0.0062906537 0.008221948 0.0072987494 0.0036316677 0.011636279 0.0030509694 0.0053344667 0.0030922054 0.003534642 0.0031567274 0.0023814929 0.011773084 0.01007077 0.0035884911 0.0018730789 0.0014165735 0.0060869 0.00544168 0.0018662871 0.0018439712 0.006178104 0.00567066 0...
0
d3bf99f94de48fe89749fccc40411f3e6199a276333ef11630f07b7ecf6fcf48
2018-04
0
nan
train
[ 0.008465588092803955, 0.003924812190234661, 0.003933212254196405, 0.0038866475224494934, 0.003874642075970769, 0.0038799734320491552, 0.003851589746773243, 0.0038809708785265684, 0.0038774036802351475, 0.003853085683658719, 0.003855540417134762, 0.003856806317344308, 0.003870883025228977, ...
0.008465588 0.003924812 0.0039332123 0.0038866475 0.003874642 0.0038799734 0.0038515897 0.0038809709 0.0038774037 0.0038530857 0.0038555404 0.0038568063 0.003870883 0.0038439953 0.0038569982 0.0038785543 0.004047437 0.0038511294 0.0038277705 0.003826121 0.003866587 0.0038473322 0.0038411187 0.003848905 0.00384645 0.003...
-1
f19bf5b11cb3f762fabfd9a9b60fed87fbd572d22aae8f11f6e76c9f5d136262
2018-04
-1
suite
train
[ 0.012069504708051682, 0.004342535976320505, 0.00430253753438592, 0.004114079289138317, 0.0039414349012076855, 0.0037873939145356417, 0.00391371501609683, 0.0038517636712640524, 0.0038396711461246014, 0.0038430197164416313, 0.0036673983559012413, 0.0037293497007340193, 0.003968782722949982, ...
0.012069505 0.004342536 0.0043025375 0.0041140793 0.003941435 0.003787394 0.003913715 0.0038517637 0.0038396711 0.0038430197 0.0036673984 0.0037293497 0.0039687827 0.0037933472 0.0038653444 0.0044191843 0.0037096294 0.0038151138 0.0036902812 0.0037051644 0.0036521433 0.0037955798 0.0037630228 0.0037382795 0.0038947389 ...
-1
1b4030e83b92398340d2419c89415d181456f0cf9cd9a76adf2ae9903ce8f9aa
2018-04
-1
nan
train
[ 0.1677006334066391, 0.022472281008958817, 0.011615628376603127, 0.012473600916564465, 0.012935586273670197, 0.007820749655365944, 0.017654435709118843, 0.00508183753117919, 0.004322861786931753, 0.007127772085368633, 0.010889651253819466, 0.004157866816967726, 0.00280491029843688, 0.005741...
0.16770063 0.022472281 0.011615628 0.012473601 0.012935586 0.00782075 0.017654436 0.0050818375 0.004322862 0.007127772 0.010889651 0.004157867 0.0028049103 0.0057418165 0.003563886 0.0031678986 0.002441922 0.0025739176 0.002936906 0.0077877506 0.0019139388 0.0021779302 0.002936906 0.0021119325 0.0018479408 0.0015179514...
0
1de1aa6de0812e5967267276a7a628a2281c9952b35669a82a966f59e392a4b9
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
165a9ec7e4cf83e2943f61aa17a92849e506f35e794539fd9725744b4ab2e974
2018-04
1
vtflooder
train
[ 0.22325114905834198, 0.05081667751073837, 0.011305700987577438, 0.012355832383036613, 0.0147935776039958, 0.00852555688470602, 0.0043365005403757095, 0.005508682690560818, 0.004812418017536402, 0.004746887367218733, 0.004333224147558212, 0.005142529495060444, 0.002923492807894945, 0.003258...
0.22325115 0.050816678 0.011305701 0.012355832 0.014793578 0.008525557 0.0043365005 0.0055086827 0.004812418 0.0047468874 0.004333224 0.0051425295 0.0029234928 0.003258519 0.0030422674 0.0041612056 0.008106979 0.0026646461 0.0021551442 0.0026327 0.0027768677 0.0043725427 0.0022116646 0.008682831 0.0026687419 0.00608289...
0
ddcb75093e619b24af4924548d0addd02adf3f2f85874d34d645170cb1b20d8b
2018-04
0
nan
train
[ 0.23309044539928436, 0.03214040771126747, 0.023518167436122894, 0.012665827758610249, 0.023869428783655167, 0.0092880018055439, 0.020765259861946106, 0.008352666161954403, 0.008348582312464714, 0.009157299995422363, 0.015116487629711628, 0.004521467722952366, 0.0035166970919817686, 0.00292...
0.23309045 0.032140408 0.023518167 0.012665828 0.023869429 0.009288002 0.02076526 0.008352666 0.008348582 0.0091573 0.015116488 0.0045214677 0.003516697 0.0029285387 0.0045214677 0.003083747 0.004799209 0.014797903 0.0074091624 0.008560972 0.0023608026 0.0040476737 0.005170893 0.004476539 0.0038271141 0.0045663966 0.00...
0
86c39477490e07aeefb372fd5d37388593b5d0a6bf4de8e3c9a3fdb5840dd080
2018-04
0
nan
train
[ 0.16223035752773285, 0.0074993278831243515, 0.0039933896623551846, 0.003468781942501664, 0.006422687321901321, 0.00253811152651906, 0.0021355876233428717, 0.0018931888043880463, 0.0071268826723098755, 0.0017684506019577384, 0.0015225129900500178, 0.001283652731217444, 0.005043490324169397, ...
0.16223036 0.007499328 0.0039933897 0.003468782 0.0064226873 0.0025381115 0.0021355876 0.0018931888 0.0071268827 0.0017684506 0.001522513 0.0012836527 0.0050434903 0.0015340137 0.0010571778 0.0068614823 0.0046436205 0.0015030503 0.0011509527 0.0010492158 0.0025947301 0.0024584914 0.000928901 0.0006130747 0.0020692376 0...
-1
ed9a6bc0cdbb8886d9c78a2139e9567c4366419e967cb29f95e398f01e2b5773
2018-04
-1
nan
train
[ 0.04255351051688194, 0.004864754155278206, 0.003994534257799387, 0.004510682076215744, 0.005054257810115814, 0.003944665193557739, 0.0038399393670260906, 0.00408180570229888, 0.0042937505058944225, 0.0036828508600592613, 0.003827471984550357, 0.003495840821415186, 0.003992040641605854, 0.0...
0.04255351 0.004864754 0.0039945343 0.004510682 0.005054258 0.003944665 0.0038399394 0.0040818057 0.0042937505 0.0036828509 0.003827472 0.0034958408 0.0039920406 0.003914743 0.0035058148 0.003897289 0.00404191 0.0033587003 0.0035407234 0.003598073 0.0034958408 0.0036304882 0.00322904 0.0032639485 0.0035457104 0.0032639...
1
048d30b10df66a4045fd941f6cb6214413ab501ad8e339f238ffe25789aaa71e
2018-04
1
filetour
train
[ 0.16207490861415863, 0.011669401079416275, 0.01851576194167137, 0.006765104364603758, 0.012546626850962639, 0.004358902107924223, 0.0027537744026631117, 0.003439133521169424, 0.013551480136811733, 0.002349195536226034, 0.0025376586709171534, 0.0016463937936350703, 0.005339506082236767, 0.0...
0.16207491 0.011669401 0.018515762 0.0067651044 0.012546627 0.004358902 0.0027537744 0.0034391335 0.01355148 0.0023491955 0.0025376587 0.0016463938 0.005339506 0.0017855077 0.0013639118 0.0041121556 0.007535974 0.0014664391 0.0018025247 0.0011673655 0.005239106 0.002102449 0.0009737972 0.0012077808 0.0031341042 0.00072...
1
9e6fb5431b94861b4517978a4a52704d8c5a1fc931c25a973242238675729723
2018-04
1
dealply
train
[ 0.2872147262096405, 0.011410788632929325, 0.006094398442655802, 0.006742738652974367, 0.00687240669503808, 0.008817427791655064, 0.002593361074104905, 0.003760373452678323, 0.008558091707527637, 0.0028526971582323313, 0.00518672214820981, 0.0031120332423597574, 0.004019709769636393, 0.0029...
0.28721473 0.011410789 0.0060943984 0.0067427387 0.0068724067 0.008817428 0.002593361 0.0037603735 0.008558092 0.0028526972 0.005186722 0.0031120332 0.00401971 0.0029823652 0.0035010374 0.012188797 0.0063537345 0.0012966805 0.002334025 0.0010373445 0.002723029 0.002074689 0.0016856847 0.00090767635 0.0028526972 0.00155...
-1
d4ae4510778ca2d760e7374ec186f7eba09ac3ad293bbd367177064237d38a3b
2018-04
-1
nan
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003784004831686616, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0037840048 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.003579464 0.0024544897 0.002761301 0.001534056 0...
-1
1c2ab9ba73020d4bd15f5e508538a46b5c459d5ef828ee20d3d4bf47fce46026
2018-04
-1
vtflooder
train