a linus
This commit is contained in:
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398422fc93
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c609096480
3 changed files with 90 additions and 377 deletions
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;numVol;E;EG.1;E.S;Total.E;HE;HE.G;HE.GG;Total.HE;N;N.G;N.GG;N.S;Total.N;Sex;Sweetener;Time
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0;17.358978271484375;0.0770298872853528;0.0511215755521484;0.139525669026829;0.051593231932311;0.646288209606987;0.0783296943231441;0.752717391304348;0.0804034864361963;0.209757890158495;0.0279574737800461;0.0881526634127197;0.0417696893463814;0.0378905074464284;WOMAN;ST;Initial
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1;78.63773345947266;0.0934142922454336;0.0521016614624402;0.173318468089232;0.0526471099045635;0.419213973799127;0.002740174672489;0.690217391304348;0.0052122438764295;0.0344649842384607;0.0327607444104397;0.0386753165177882;0.0406224519491085;0.0344223936221695;WOMAN;ST;Final
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2;2.0;0.06929884105920792;0.0002361464187937;0.230840507038543;0.0008809676684602;0.631004366812227;0.005796943231441;0.78804347826087;0.0074320721661824;0.0097395506751462;0.0325565031999228;0.0144615338813324;0.103101528512967;0.0375174716488686;WOMAN;ST;Final
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3;2.0;0.06794004142284393;0.0059260585716736;0.196210627235022;0.0064987265907535;0.602620087336245;0.0041593886462882;0.741847826086957;0.005778082460092;0.153984100002925;0.029646910920439;0.0625427616255885;0.12241458147764206;0.032832016651591;WOMAN;ST;Initial
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4;3.0;0.123573163069946;0.101476741689882;0.0961788594286703;0.10185821400317;0.423580786026201;0.0034497816593886;0.508152173913043;0.005114310275411;0.0308875160141178;0.0184728261989279;0.0637039716242932;0.0411489143597457;0.0213996508104134;WOMAN;ST;Initial
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5;3.0;0.0643571921667506;0.295116918966625;0.0467452958727414;0.295302837525148;0.519650655021834;0.26792576419214;0.665760869565217;0.269045365020294;0.0157333554021093;0.161698749010704;0.0726726173070903;0.197729595818917;0.17030239299323;WOMAN;ST;Final
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6;4.0;0.0409124620896298;0.0054168198974341;0.02805653839541;0.0056678269878972;0.665938864628821;0.0075873362445414;0.828804347826087;0.009249284540637;0.009816408081312;0.0333495925121943;0.0049943943774985;0.0280342855098961;0.0321001466043735;WOMAN;ST;Initial
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7;4.0;0.0660299663073989;0.0224243835630442;0.0513678980041759;0.0227249897357799;0.593886462882096;0.0085589519650655;0.744565217391304;0.0102395020620464;0.0294159783678454;0.0149170167510831;0.0027514740025136;0.0300828610611238;0.0153093475578408;WOMAN;ST;Final
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8;5.0;0.0615207023416866;0.0559365403764433;0.0745642901243317;0.0562695192301997;0.567685589519651;0.00042608004878275096;0.720108695652174;0.0015995821499689;0.0091093096517981;0.0136730123576091;0.0809331922177788;0.131297517145463;0.0235894686880448;WOMAN;ST;Initial
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9;5.0;0.0687109157090351;0.0202676168767328;0.207561234791417;0.0208855950149671;0.53056768558952;0.0795305676855895;0.71195652173913;0.0813937039576056;0.0211505275872907;0.005029215011745691;0.108316874876379;0.118405962316509;0.0091248615687467;WOMAN;ST;Final
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10;7.0;0.0503269973995748;0.0055163999579798;0.0514403206332722;0.0058180000092914;0.672489082969432;0.002150655021834;0.839673913043478;0.003786765906049;0.0109826498323792;0.0203738650964801;0.0078591959961714;0.0387264780310392;0.02066556544044;WOMAN;ST;Final
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11;7.0;0.057667940855026245;0.0093096056939571;0.0520021771871834;0.0095896094056818;0.622270742358079;0.00042608004878275096;0.779891304347826;0.0010228620550822;0.012421322986483574;0.004799339920282364;0.0113737696334729;0.0376758095800048;0.0010822901984869;WOMAN;ST;Initial
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12;8.0;0.174493467380456;0.0295338820828877;0.0630573108792305;0.0297355296378663;0.585152838427948;0.0040065502183406;0.722826086956522;0.0057345564151949;0.0393176831899469;0.0116161876354355;0.0187989892009575;0.0095342679653646;0.0113725991129404;WOMAN;ST;Initial
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13;8.0;0.104352831610279;0.0498636461872412;0.308810179592839;0.0506876410150064;0.471615720524018;0.134454148471616;0.657608695652174;0.136247402039195;0.0197341411109814;0.252516380365692;0.0119220995246902;0.084750471699775;0.246607428963168;WOMAN;ST;Final
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14;9.0;0.0627770224753825;0.300447852968172;0.0586708337121902;0.300655250336806;0.606986899563319;0.00042608004878275096;0.798913043478261;0.0018498569081274;0.0428467324040808;0.00590408142046;0.0271376241173594;0.031207938326384;0.0079908653653957;WOMAN;ST;Initial
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15;9.0;0.0240983023821626;0.0500499264462373;0.144558378871401;0.0505131274431532;0.665938864628821;0.0515829694323144;0.785326086956522;0.0531997083754992;0.121959579477711;0.106780826946768;0.055501196533441544;0.100948608019094;0.112080568703971;WOMAN;ST;Final
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16;10.0;0.0483320845415926;0.0440386979227211;0.0226260239948217;0.0442665658427145;0.652838427947598;0.0062227074235807;0.801630434782609;0.0078890956376021;0.0390057033023659;0.0004641028449122;0.0233047370652797;0.008663498329103;0.0007640830265808;WOMAN;ST;Initial
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17;10.0;0.0985716100129017;0.0039487725974766;0.372306329724971;0.0049166153573445;0.740174672489083;0.133635371179039;0.834239130434783;0.135550985320841;0.0820925028937823;0.0920006327695812;0.0534018031929055;0.0264444373556325;0.09213022577547;WOMAN;ST;Final
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18;11.0;0.1280261129140854;0.0012106089186226;0.0066462653732205;0.0014052605031588;0.759825327510917;0.0103602620087336;0.951086956521739;0.011980543857931;0.0105563671845351;0.0007929392326285;0.0058017081183109;0.014887132939935;0.002341359620913863;WOMAN;ST;Final
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19;11.0;0.082348170091955;0.0564083800247462;0.0707620668175774;0.0567409854437924;0.414847161572052;0.002707423580786;0.52445652173913;0.0045049456468514;0.0575646517286082;0.0482716890694257;0.0840247964248829;0.144531813067455;0.0595951730157972;WOMAN;ST;Initial
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20;12.0;0.103069252782658;0.111815795700529;0.07218290120363235;0.111960151508486;0.54585152838428;0.0052510917030567;0.690217391304348;0.0068879966049685;0.0405048944554568;0.0076973757883706;0.033315353095531464;0.0155804669770721;0.0076275986363705;WOMAN;ST;Initial
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21;12.0;0.0949836335692954;0.0289770055001812;0.0836126940068479;0.0293506557461308;0.648471615720524;0.187248908296943;0.777173913043478;0.188369840803491;0.039475075086278;0.0429014736388349;0.04546380043029785;0.0151295272757327;0.0412012707619581;WOMAN;ST;Final
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22;13.0;0.0672919301278201;0.0066124093821746;0.0319790359253135;0.0068803690172877;0.550218340611354;0.0020305676855895;0.673913043478261;0.0036888323050305;0.03651031479239464;0.0052598405842053;0.0580320685982212;0.0964293060188399;0.0120826301013128;WOMAN;ST;Initial
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23;13.0;0.0762935895907884;0.0012942321331926;0.204263316521067;0.0019155619530548;0.550218340611354;0.0046288209606986;0.752717391304348;0.0065941958019129;0.101307962370352;0.0113548568210471;0.0260220727188403;0.0718999060558425;0.0185480107164051;WOMAN;ST;Final
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24;14.0;0.289819524600241;0.0074900866813666;0.15270019270298;0.0080816448247916;0.074235807860262;0.0072816593886462;0.122282608695652;0.0090534173385999;0.0997451443138512;0.0135783858812211;0.166678805109052;0.29245730224541;0.0420377545532415;WOMAN;ST;Initial
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25;14.0;0.0756097020295104;0.0067741759904805;0.477397173936586;0.0079450056823833;0.502183406113537;0.146834061135371;0.779891304347826;0.148728495413443;0.0735396089273115;0.0174244057537114;0.10152021011253;0.164907832588967;0.0328169320577558;WOMAN;ST;Final
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26;15.0;0.103728979940136;0.0091442292101092;0.0628559700385704;0.0094867048861477;0.556768558951965;0.0820633187772926;0.6875;0.08343942806777;0.0411038531920104;0.01590193834365;0.0059324319727265;0.14209691341229;0.0255882271527287;WOMAN;ST;Final
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27;15.0;0.0658204196618326;0.0007023529851629;0.119262671905078;0.0011484050155958;0.611353711790393;0.0002510917030567;0.747282608695652;0.0019042644642487;0.0100970169311419;0.009702070197681;0.0259270453609114;0.055454498527154;0.0122718750098858;WOMAN;ST;Initial
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28;17.0;0.0241307248929616;0.0157217435653094;0.102171377070374;0.0161125019045315;0.700873362445415;0.0076965065502183;0.869565217391304;0.0093363366304312;0.0242641199255924;0.0133652998230481;0.012755470350384712;0.0154698983582413;0.012430770191548;WOMAN;ST;Final
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29;17.0;0.0099417349329342;0.0007633727189464;0.02612094875033;0.0010011188003439;0.685589519650655;0.0006441048034934;0.872282608695652;0.0023612879356685;0.0134335807952005;0.0096172755757928;0.0228267607868394;0.0265468887981006;0.0099518569159398;WOMAN;ST;Initial
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30;18.0;0.104899434666372;0.0214727943131105;0.0983858074032553;0.0218827412080191;0.622270742358079;0.0106331877729258;0.771739130434783;0.0123178707058836;0.0113323099839704;0.0168997041895403;0.02994721535312;0.0810954413554468;0.0213304161479755;WOMAN;ST;Initial
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31;18.0;0.0865556585131389;0.0219375495095898;0.1046428307890892;0.0221104906355437;0.661572052401747;0.257521834061135;0.807065217391304;0.258479417621519;0.0470978814019446;0.0088196063204574;0.0892145192500432;0.0621568481586588;0.0151691366816494;WOMAN;ST;Final
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32;19.0;0.0379846509455392;0.0211025916786854;0.0657518093991928;0.0214226817195304;0.646288209606987;0.0027947598253275;0.883152173913043;0.0048205094723555;0.0115995856422935;0.007936798564432;0.0060447052467821;0.03657577888262;0.0085796752664203;WOMAN;ST;Initial
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33;19.0;0.0777592581629382;0.0820962030409268;0.212296880766612;0.0827032536957698;0.558951965065502;0.0350327510917031;0.690217391304348;0.0367033373594925;0.0444169070198692;0.0634745586544423;0.0332568745080306;0.299994526928623;0.0843910453813864;WOMAN;ST;Final
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34;20.0;0.194146557990055;0.000597905833274126;0.139580140113055;0.000316565378238;0.286026200873362;0.0002947598253275;0.364130434782609;0.0020130795764915;0.0186143852526718;0.0835013398390099;0.019098841709243;0.298783333794119;0.102064839554292;WOMAN;ST;Initial
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35;20.0;0.310898256377249;0.0102344020048769;0.224983811378479;0.0104925169523872;0.602620087336245;0.154563318777293;0.739130434782609;0.155812359220449;0.0855601081432608;0.272844194500416;0.113541325123415;0.175482297914005;0.278571356376836;WOMAN;ST;Final
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36;21.0;0.028515160105707;0.0135947227916441;0.0662532549635222;0.0139153044563666;0.620087336244541;0.0022707423580786;0.766304347826087;0.0039064625295161;0.087968089672492;0.166344020452697;0.0986639685943334;0.0674480182111307;0.167942136699479;MAN;ST;Final
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37;21.0;0.0353854984895836;0.0277902413432693;0.120631447340117;0.0282177088755868;0.609170305676856;0.0013973799126637;0.747282608695652;0.0030685861652466;0.0226502279993836;0.0470320802580862;0.0176797186150069;0.0643491307799753;0.0488798051005227;MAN;ST;Initial
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38;22.0;0.0402606214888327;0.013660888187587261;0.0102891956606041;0.013867069035768509;0.657205240174673;0.0001746724890829;0.83695652173913;0.001991316554043;0.0234857320338833;0.0086598564327312;0.0218195734960707;0.0238715841680334;0.0091719126049243;MAN;ST;Initial
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39;22.0;0.0697543822679745;0.0038790081352075;0.0889482367985495;0.0042640061700191;0.617903930131004;0.0085480349344978;0.747282608695652;0.010304791129392;0.0187433096134903;0.0047136064902703;0.0433327366864486;0.0556752718260354;0.0083481276125813;MAN;ST;Final
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40;23.0;0.0199260009393974;0.0096069260721538;0.0856849719875068;0.0099652113080868;0.670305676855895;0.0033406113537117;0.826086956521739;0.0050381396968411;0.0115460543310163;0.0095240215833462;0.011530382558703423;0.027063027300823;0.009196982541244;MAN;ST;Initial
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41;23.0;0.186590589908702;0.0855377893238289;0.847779322195976;0.0874666107083224;0.194323144104803;0.0643777292576419;0.345108695652174;0.0663010478895309;0.0213401514876402;0.183633960871499;0.0218109694106629;0.20797163600822;0.190808165949123;MAN;ST;Final
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42;24.0;0.0421676034126049;0.0010877322439567;0.04156652092933655;0.0012841670145614;0.663755458515284;7.64192139737991e-05;0.817934782608696;0.0017301602846603;0.0222794218391934;0.0083589326081489;0.0036337295645095;0.0110206749638197;0.0073015675000973;MAN;ST;Initial
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43;24.0;0.106536009929133;0.0065797020779263;0.148263220442806;0.0070967325933574;0.676855895196507;0.113908296943231;0.907608695652174;0.115529004668168;0.0371649346374982;0.0932368895537296;0.0609654343767619;0.0349906961638434;0.0925283000600034;MAN;ST;Final
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44;25.0;0.0218298324132785;0.0014254061191675;0.112451972033152;0.0018415998319963;0.672489082969432;0.013264192139738;0.831521739130435;0.0149403149109348;0.0113122543686691;0.0159451542962659;0.022903375327587128;0.139100394387494;0.0241369175731083;MAN;ST;Final
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45;25.0;0.0618328055199638;0.0112322812860066;0.0538088584888881;0.0115406089847469;0.61353711790393;0.0008078602620087;0.75;0.0025245106040326;0.0116679592017124;0.0069676845841248;0.0206488138897184;0.0694611540628231;0.010665565472023;MAN;ST;Initial
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46;26.0;0.0397872716086828;0.056538090323498;0.008722236529176;0.0567299923013056;0.705240174672489;0.0007860262008733;0.880434782608696;0.0024483400254627;0.0450985503392903;0.0129285347179761;0.0125086756323261;0.0126182890183486;0.0129026692594054;MAN;ST;Initial
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47;26.0;0.0549706144916001;0.0398979556480912;0.109827366596432;0.040305986597041;0.764192139737991;0.172237991266376;0.888586956521739;0.174006245987443;0.0769205956684803;0.113141157687717;0.0280227655039259;0.0236288834179829;0.111186226349168;MAN;ST;Final
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48;27.0;0.0579665775864789;0.0741778991466407;0.0879766253235096;0.0745296918215806;0.620087336244541;0.0012117903930131;0.771739130434783;0.0028727189632096;0.0141677977832623;0.0273969166500106;0.0023474239591069;0.0340317693674886;0.0269678592790463;MAN;ST;Initial
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49;27.0;0.0417687168149786;0.0497750187727791;0.596603997009802;0.0511580113995445;0.596069868995633;0.0281222707423581;0.752717391304348;0.0297718147096269;0.0109620456555448;0.0265467369144264;0.013658196712305;0.114759003137018;0.0327125504301127;MAN;ST;Final
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50;28.0;0.0120381402643926;0.0003363372193979;0.0024243959714784;0.0005271237614375;0.685589519650655;0.0003602620087336;0.866847826086957;0.0020457241101644;0.0895089454370568;0.0199865979729016;0.0330852039996661;0.0180689513732146;0.0223292828654985;MAN;ST;Initial
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51;28.0;0.0221815561501189;0.0077847882902291;0.0416602224099979;0.0080556351965035;0.705240174672489;0.0343340611353712;0.869565217391304;0.0360069206411386;0.0400074301071161;0.0376318042074121;0.0044108610296818;0.0127239145840875;0.0360974895403457;MAN;ST;Final
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52;29.0;0.0404981466331001;0.0122387328454535;0.193340948330285;0.0128209178631972;0.589519650655022;0.0033842794759825;0.741847826086957;0.0050381396968411;0.0087994078449807;0.0328367541504408;0.002056611342976;0.0557710279073856;0.0336683457431653;MAN;ST;Final
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53;29.0;0.07678691297769547;0.0002381528342809;0.0412148466367366;0.0004998458976586;0.552401746724891;0.00042608004878275096;0.736413043478261;0.0014363594816048;0.032132845371961594;0.0023227719534166;0.0441872881787738;0.0076446808648219;0.0018915043674954;MAN;ST;Initial
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54;30.0;0.065986840612533;0.0319057950997071;0.106786847232821;0.0323147144755002;0.497816593886463;0.116419213973799;0.66304347826087;0.117901174115061;0.0562652898110519;0.117535039382003;0.03316639108796;0.0023812580778497;0.113093819578092;MAN;ST;Final
|
||||
55;30.0;0.057573944330215454;0.0063438356664147;0.08632291853427887;0.0064884635345264;0.646288209606987;0.0023144104803493;0.8125;0.0040914482203288;0.0473205122545238;0.0104610705392388;0.0083665370720591;0.0316002513853846;0.0119999695226482;MAN;ST;Initial
|
||||
56;32.0;0.0507846680539426;0.0688734391169728;0.538319292294922;0.0701345772270452;0.558951965065502;0.0041484716157205;0.682065217391304;0.0057998454825406;0.0382999985839884;0.0145673513890989;0.0377600798148024;0.0861201024420721;0.0207281389925678;MAN;ST;Initial
|
||||
57;32.0;0.164926469073301;0.0010671456495164;0.191717397646975;0.0016950886953967;0.414847161572052;0.0034061135371179;0.478260869565217;0.0051578363203081;0.05995197594165802;0.0515449616724398;0.0262003874785116;0.271762143608473;0.0691881205640523;MAN;ST;Final
|
||||
58;33.0;0.0298646897419735;0.038223433701549;0.257989144482181;0.0389224313236512;0.657205240174673;0.0025218340611353;0.826086956521739;0.0042329078662444;0.0150472307913571;0.0200457675448645;0.0071080264722077;0.0268238989494205;0.0195456240892966;MAN;ST;Initial
|
||||
59;33.0;0.0416110900008945;0.0079367458916777;0.262525262437751;0.0086607664289323;0.62882096069869;0.0013973799126637;0.809782608695652;0.0031774012774894;0.0309527493337577;0.0200428377030688;0.0125828554288471;0.0387357471229076;0.0212312790346778;MAN;ST;Final
|
||||
60;34.0;0.0793363817239481;0.0023703184175882;0.0395252644300979;0.0026594856713754;0.565502183406114;0.0009388646288209;0.684782608695652;0.0026659702499483;0.0272179027238625;0.0206697984579807;0.0421450788470592;0.0540245363519378;0.0237504880473042;MAN;ST;Initial
|
||||
61;34.0;0.0169402402948279;0.0008780346482165;0.0979199938318588;0.001263319217568;0.694323144104804;0.0009388646288209;0.888586956521739;0.0026442072274997;0.013616176357661;0.014950380469765;0.0081073685384796;0.0386005578605948;0.0155773488879811;MAN;ST;Final
|
||||
62;35.0;0.030882003394036;0.0558340505204851;0.0995000359764293;0.0562064315899608;0.683406113537118;0.0259061135371179;0.858695652173913;0.027551986419874;0.0434477218568093;0.109119071089209;0.01772094890475273;0.0293481887974597;0.105757375536413;MAN;ST;Final
|
||||
63;35.0;0.0851970948053306;0.0045312735338061;0.0700577342823357;0.0048834074039447;0.650655021834061;0.0036353711790393;0.769021739130435;0.005386348056018;0.219033659335165;0.0483004110938259;0.0318801021801339;0.0681056727754911;0.058120110137969;MAN;ST;Initial
|
||||
64;36.0;0.266494240388194;0.0024102216526547;0.0694219473776887;0.0028270840441796;0.777292576419214;0.063264192139738;0.989130434782609;0.0665295596252408;0.0834496772801979;0.0211275974309128;0.0061713581441644;0.0344645739292154;0.0237033924828258;MAN;ST;Initial
|
||||
65;36.0;0.0343310992436051;0.0057698070135756;0.164433217513388;0.0062938527054145;0.657205240174673;0.0462663755458515;0.847826086956522;0.0478895308980511;0.030474329171176;0.0525300637086076;0.0467664264063222;0.06181434541940689;0.049641775451218;MAN;ST;Final
|
||||
66;37.0;0.0244680003745071;0.0323364595024875;0.344564297978596;0.0332106976355996;0.685589519650655;0.0005240174672489;0.858695652173913;0.0021763022448557;0.0097335582604239;0.0111277390727372;0.0047081261606062;0.0303031157324677;0.011027897234085;MAN;ST;Initial
|
||||
67;37.0;0.0206596176219684;0.000688970656945;0.0836668234418652;0.0010468677238198;0.665938864628821;0.000796943231441;0.847826086956522;0.0025136290928084;0.0357724963668061;0.0099228939919132;0.0256822189250524;0.0204834745777279;0.0106826299674312;MAN;ST;Final
|
||||
68;38.0;0.111784868086647;0.027290716957773;0.0624185060903162;0.0276282354234283;0.456331877729258;0.001386462882096;0.584239130434783;0.0031556382550408;0.020364736642818;0.0144229487009754;0.0379941167820468;0.0791620251475197;0.0193810548763443;MAN;ST;Initial
|
||||
69;38.0;0.0315295460300811;0.0300713181836045;0.15883952379226685;0.030221346406333;0.611353711790393;0.0142903930131004;0.771739130434783;0.0159414139435685;0.0095724014685713;0.0353773335632839;0.0032806258482978;0.0316104243855348;0.0342607180929034;MAN;ST;Final
|
||||
70;39.0;0.0929130264583023;0.003228355459058;0.0669242895034921;0.003577433683818;0.624454148471616;0.0037117903930131;0.842391304347826;0.0055713337468307;0.032236606052656;0.035976237340222;0.0134853162228474;0.113165926079617;0.0423879208690004;MAN;ST;Final
|
||||
71;39.0;0.0376975427273246;0.0034251726597775;0.0404741542429429;0.0037008776788431;0.626637554585153;0.0017903930131004;0.785326086956522;0.0034712020805449;0.0081531937161793;0.0135853565137919;0.0154117608172598;0.0302662176060178;0.0136252486323726;MAN;ST;Initial
|
||||
72;40.0;0.102888926038234;0.0590990134535776;0.0214686025389167;0.0593383776931313;0.462882096069869;0.0017030567685589;0.554347826086957;0.0034603205693206;0.0087735459425891;0.0224386312158125;0.086037229166155;0.0098637245116295;0.0225524847963741;MAN;ST;Initial
|
||||
73;40.0;0.032296284164321;0.0191823857044013;0.167386630673118;0.0197065148104174;0.650655021834061;0.0032314410480349;0.820652173913043;0.0049837321407197;0.0930908665647227;0.0500787086564919;0.0033602193945899;0.0461634151169999;0.0525724397733532;MAN;ST;Final
|
||||
74;41.0;0.0623554776752288;0.0219055417375335;0.12916069921304;0.0223622015227017;0.537117903930131;0.0002292576419213;0.679347826086957;0.0019369089979216;0.0448228594641941;0.0062595290588285;0.0141814006396636;0.357395646008091;0.0336825349889542;MAN;ST;Initial
|
||||
75;41.0;0.0384837260224814;0.0021320250448643;0.336107273770764;0.0030058187112852;0.554585152838428;0.0141375545851528;0.709239130434783;0.0159522954547928;0.0122957164280777;0.0451741350365447;0.0112060168599068;0.972681954915516;0.117968268404946;MAN;ST;Final
|
||||
76;42.0;0.0984156731752492;0.0154578350638266;0.102490167357121;0.0158760533350346;0.574235807860262;0.0024235807860262;0.692934782608696;0.004178500310123;0.0472651542722852;0.0537205148530197;0.0116744562516162;0.0407171187644665;0.0541574965639497;MAN;ST;Initial
|
||||
77;42.0;0.027686631307005882;0.0818426648518961;0.0087431849473245;0.0820074050222488;0.679039301310044;0.0013427947598253;0.845108695652174;0.003046823142798;0.01901208609342575;0.0412187109530117;0.0065683417951656;0.0185161053534221;0.0388323614216472;MAN;ST;Final
|
||||
78;43.0;0.0452315828428794;0.0838593433196807;0.13366737389024;0.0842951528210224;0.532751091703057;0.0050655021834061;0.671195652173913;0.0068553520712956;0.0233520433556844;0.0506626188659772;0.0429925765800138;0.0664392588436791;0.0532739881108947;MAN;ST;Final
|
||||
79;43.0;0.117861293097985;0.0288365298936495;0.0417997015160499;0.0291339807235139;0.587336244541485;0.0033296943231441;0.78804347826087;0.0051687178315324;0.0183653783536386;0.0384185325446488;0.006702293818411;0.0992452451481739;0.0429137067899072;MAN;ST;Initial
|
||||
80;44.0;0.0957314377083294;0.0079431349433579;0.0634544092670395;0.0082844050055712;0.521834061135371;0.0011135371179039;0.630434782608696;0.0028618374519853;0.0158972426523315;0.0074089109532018;0.0156895887168169;0.107678089885387;0.014106875532489;MAN;ST;Initial
|
||||
81;44.0;0.0356428234811793;0.0098717206447441;0.0675170469238123;0.0101988490666798;0.665938864628821;0.0062336244541484;0.831521739130435;0.0079543847049478;0.0109315901225145;0.0613441362472031;0.0226450511901601;0.205954847855056;0.0734029905781956;MAN;ST;Final
|
||||
82;51.0;0.0726663472750304;0.0017377584775122;0.0596397899631605;0.0020654102286413;0.681222707423581;0.0017794759825327;0.8125;0.0035691356815634;0.10079997724174;0.0015561979612237;0.0050422839276982;0.0335752975392264;0.0055414998742925;WOMAN;SU;Initial
|
||||
83;51.0;0.0426631837851977;0.023067383291035;0.219223667777577;0.0236984819165888;0.7882096069869;0.277096069868996;0.888586956521739;0.278664620942557;0.101152055378645;0.162569790544836;0.0104769974621116;0.0889933615851929;0.163964898237139;WOMAN;SU;Final
|
||||
84;52.0;0.272669466429062;0.0011727822875755;0.0348435362147153;0.0015224771128791;0.6102145314216614;0.00888619851320982;0.7593218088150024;0.010593502782285213;0.07302401214838028;0.0171113965449101;0.0939470125135971;0.0374643402358509;0.0195336810743677;WOMAN;SU;Initial
|
||||
85;52.0;0.0851435371571832;0.0371320353809345;0.0739260986636218;0.0374794432118824;0.34061135371179;0.0383842794759825;0.472826086956522;0.0401310133951403;0.0277509836885827;0.0935902538196619;0.0410583176735918;0.0543344012100275;0.0934594694780702;WOMAN;SU;Final
|
||||
86;53.0;0.0412345799430572;0.0900320520416094;0.0993878629718923;0.0903947933450038;0.703056768558952;0.23443231441048;0.763586956521739;0.235889400319916;0.108729268110778;0.155050728812431;0.0160090501119502;0.0277998006063585;0.152408395453107;WOMAN;SU;Final
|
||||
87;53.0;0.0634157396789514;0.0178352672816676;0.0197947715670905;0.0180729044584506;0.72707423580786;0.0306113537117904;0.790760869565217;0.0328948084309949;0.0945344622977286;0.0016161087583244;0.0497264223147481;0.008313157432305;0.0046734377685143;WOMAN;SU;Initial
|
||||
88;54.0;0.0400833721706261;0.0400170182842302;0.315386809393836;0.0408349703679197;0.62882096069869;0.0057860262008733;0.760869565217391;0.0076714654131165;0.0156280433563069;0.0740450452006787;0.0220877056402448;0.606269297800941;0.117184885188487;WOMAN;SU;Final
|
||||
89;54.0;0.049945354820723;0.0080291395239912;0.107621393441872;0.0084431476652782;0.62882096069869;0.0462882096069869;0.698369565217391;0.0482921468133494;0.0590796505270835;0.0424921057350495;0.0820327516002845;0.0483238637053084;0.0465033895609543;WOMAN;SU;Initial
|
||||
90;55.0;0.0681188502005413;0.0014064030826439;0.299022241959759;0.0022162047925704;0.524017467248908;0.0378384279475983;0.733695652173913;0.0396848714349449;0.0289504159403363;0.127591825074721;0.0531924769691272;0.0727083683013916;0.20072804291714;WOMAN;SU;Final
|
||||
91;55.0;0.0415769775136639;0.128987320501353;0.0524746325323538;0.129240436085207;0.591703056768559;0.0183187772925764;0.758152173913043;0.0199675730965516;0.0232771181616965;0.005191650517714;0.0101183621244211;0.656522508807204;0.0552664144321781;WOMAN;SU;Initial
|
||||
92;56.0;0.15220917735442;0.0220433233834553;0.0483039291127514;0.0223688772562787;0.59825327510917;0.0164737991266376;0.739130434782609;0.0182809388567884;0.0419050992376516;0.0951333511997158;0.0276782415517836;0.0801027475076495;0.0971008192457126;WOMAN;SU;Final
|
||||
93;56.0;0.0407585699148205;0.0492353899203213;0.0053765297959747;0.0494236864979533;0.683406113537118;0.0052947598253275;0.847826086956522;0.0070076932284355;0.0260545575744591;0.0084117233106145;0.0049717056446353;0.0280608090048332;0.0088716962813634;WOMAN;SU;Initial
|
||||
94;57.0;0.153902137324668;0.013660888187587261;0.0727982541756912;0.013867069035768509;0.526200873362445;0.0168777292576419;0.676630434782609;0.0186617917496382;0.0097919884502896;0.0904085686523824;0.0255445105183268;0.0931809793461937;0.0923545155200598;WOMAN;SU;Final
|
||||
95;57.0;0.0291644135820902;0.0135821556892273;0.0096287764465121;0.0137885692601388;0.635371179039301;5.45851528384279e-05;0.790760869565217;0.0016648712173146;0.0127112366388883;0.0055902378273903;0.0200592502951622;0.0274977899148814;0.005514763466479;WOMAN;SU;Initial
|
||||
96;58.0;0.14056402963405;0.0064775773209295;0.0714764539250823;0.0068517411603919;0.569868995633188;0.0354366812227074;0.744565217391304;0.0371821238533608;0.0114634625813762;0.0779927620540136;0.02713241754936;0.0194801985243383;0.0747996489054554;WOMAN;SU;Final
|
||||
97;58.0;0.0537258216662802;0.11350749957604;0.0607786527025796;0.113787708052924;0.624454148471616;0.0007423580786026;0.769021739130435;0.0023721694468927;0.0103072342816897;0.0066018791099852;0.0080556855405739;0.0189187649415238;0.005925208983905;WOMAN;SU;Initial
|
||||
98;60.0;0.0194137190096008;0.004404067624328;0.0029204698132672;0.0045969463818871;0.713973799126637;0.0442467248908297;0.866847826086957;0.0458220437654381;0.134499830207532;0.0667875239596586;0.013088042165838;0.0242431417460158;0.0686441308014138;WOMAN;SU;Final
|
||||
99;60.0;0.0559796138768972;0.0167254209438558;0.0736036170583782;0.0170695278263285;0.661572052401747;0.0018013100436681;0.823369565217391;0.0035038466142177;0.02072286047041416;0.0101120809563613;0.0213179482642659;0.0568495834234997;0.0125434295939925;WOMAN;SU;Initial
|
||||
100;61.0;0.137496399020127;0.0071832882542689;0.067866723222568;0.0075487845877067;0.646288209606987;0.0289082969432314;0.869565217391304;0.0309687809442975;0.04987078160047531;0.0229009291004065;0.0159293125930017;0.0431736766673472;0.0235350637772212;WOMAN;SU;Final
|
||||
101;61.0;0.0267300651240763;0.000870036916064;0.0234281671862244;0.0011083388605137;0.694323144104804;0.0001965065502183;0.959239130434783;0.0022198282897528;0.0084482534969032;0.0109590594752324;0.010783849242939;0.0187885579590919;0.0100892604652037;WOMAN;SU;Initial
|
||||
102;62.0;0.051137727080803;0.0599992369215535;0.102423710626581;0.0603832095421405;0.587336244541485;0.0068558951965065;0.739130434782609;0.0084875787549374;0.106159714047145;0.0498932287970655;0.0146266166025632;0.0580238019372917;0.0541416725507152;WOMAN;SU;Final
|
||||
103;62.0;0.02790740132331848;0.0320902421027005;0.104665787401285;0.0324678990422223;0.668122270742358;0.0041703056768559;0.858695652173913;0.0059195421060076;0.0104712654533055;0.0512702386650993;0.0042394736550915;0.153612105793338;0.0591073062954365;WOMAN;SU;Initial
|
||||
104;63.0;0.0288120117682865;0.0053148214550252;0.0443540827749318;0.0055944443619513;0.661572052401747;0.0070414847161572;0.834239130434783;0.0087487350243201;0.0189473580380789;0.0128040466877006;0.0087361483858996;0.0380884446336443;0.0137026068283668;MAN;SU;Final
|
||||
105;63.0;0.021128137507749;0.0122489952254922;0.0619117482210477;0.012558665520708;0.609170305676856;0.0018668122270742;0.741847826086957;0.0035364911478906;0.010090804107962;0.0156510385950886;0.0072955573054361;0.0949006395917842;0.0205199225318241;MAN;SU;Initial
|
||||
106;64.0;0.0667516696993224;0.0193241614726123;0.0221065451884201;0.0195670972105108;0.587336244541485;0.0132314410480349;0.777173913043478;0.0151144190905233;0.0123158686343451;0.101280503598765;0.0278063223336323;0.0265663773631363;0.0976663265630592;WOMAN;SU;Final
|
||||
107;64.0;0.0827930720355062;0.0823785876582882;0.0641428680186655;0.082688003701965;0.563318777292577;0.0106550218340611;0.703804347826087;0.0123396337283322;0.019742569667727;0.0407799208290387;0.0427380568714376;0.0052571432298171;0.0388745178023315;WOMAN;SU;Initial
|
||||
108;65.0;0.14448075865337;0.0490296442219118;0.27782967317287;0.0498057959742587;0.482532751091703;0.444781659388646;0.853260869565217;0.446163723217881;0.0201899001617859;0.16638741325803;0.204191648302679;0.109824975849874;0.17184814783723;WOMAN;SU;Final
|
||||
109;65.0;0.0470023443207012;0.0086673885632198;0.166500721661122;0.0091990553641375;0.587336244541485;0.0012554585152838;0.758152173913043;0.0029706525642281;0.0649469531486988;0.0300419591171867;0.01544866245239973;0.349851766696468;0.0561849111009653;WOMAN;SU;Initial
|
||||
110;66.0;0.0435312474816613;0.0012867538307049;0.18934124691116;0.0018661553202643;0.639737991266376;0.0176855895196507;0.83695652173913;0.0196737722934961;0.0806059052384084;0.0936583752929351;0.0298252662509205;0.100580402627286;0.0988065395743166;WOMAN;SU;Initial
|
||||
111;66.0;0.222959070492099;0.0073726546469498;0.0877837613592598;0.0078090536446755;0.397379912663755;0.339912663755459;0.652173913043478;0.341189784437263;0.0234560240004909;0.31660980237495;0.188252573603398;0.13371496310604;0.316967057496848;WOMAN;SU;Final
|
||||
112;67.0;0.0768663246898515;0.000787241398501;0.0161500810332608;0.0010289002840467;0.609170305676856;0.000589519650655;0.771739130434783;0.0023068803795471;0.0258145284427685;0.044158439119283;0.0366849037934109;0.0367450530021848;0.0446310154989231;WOMAN;SU;Final
|
||||
113;67.0;0.0603854971855894;0.0547667709903407;0.026006638568937;0.0550016830172736;0.543668122270742;0.0010807860262008;0.676630434782609;0.0026877332723968;0.0306055304996209;0.0694258251911444;0.0193823053264862;0.0812423056436392;0.0719579132477986;WOMAN;SU;Initial
|
||||
114;69.0;0.150854306558073;0.0244453960994998;0.124015940769534;0.0249225116821501;0.27292576419214;0.0299126637554585;0.385869565217391;0.0316216716177543;0.0143441380942564;0.0770751757309248;0.0412873486195188;0.112355945190196;0.0817446896935589;MAN;SU;Final
|
||||
115;69.0;0.110029514603822;0.0302575747049006;0.187464632949224;0.030845970569369;0.451965065502183;0.0029694323144104;0.527173913043478;0.0048857985397011;0.0171309829391912;0.0154875566526902;0.0557154044508934;0.0943711983336085;0.0203986426019157;MAN;SU;Initial
|
||||
116;70.0;0.0562242327493961;0.176809300814416;0.109272044121892;0.177164070360741;0.615720524017467;0.0128711790393013;0.752717391304348;0.014635632596655;0.028909141197800636;0.0740434871965986;0.0214407925762708;0.0476428491873596;0.0729275476548806;WOMAN;SU;Final
|
||||
117;70.0;0.0657934739265064;0.02716069448481;0.046355447704934;0.0274492689440217;0.561135371179039;0.0019104803493449;0.739130434782609;0.0038411734621704;0.0260647452995139;0.056324832601847;0.0077596828782561;0.0767580137751725;0.0585773834387841;WOMAN;SU;Initial
|
||||
118;71.0;0.0424301861086545;0.0600860460844911;0.113970936596924;0.0604901844419786;0.655021834061135;0.0224454148471616;0.815217391304348;0.0240263767832077;0.0282734488364028;0.0108796802732645;0.0130953164211004;0.0192238457992087;0.0108536878891862;MAN;SU;Final
|
||||
119;71.0;0.0165734215215891;0.0374705670071446;0.14454089105129242;0.03761237447919;0.665938864628821;0.0009279475982532;0.834239130434783;0.0026224442050512;0.0421206939464936;0.0799947246797825;0.0375787725418348;0.0115019662251096;0.0775312693802902;MAN;SU;Initial
|
||||
120;72.0;0.114357074807276;0.0403993463122024;0.0560277178357849;0.0407198423273439;0.641921397379913;0.0901310043668122;0.717391304347826;0.0920902294910717;0.0296338894322481;0.0472714031156272;0.0086737460272302;0.0324118342661007;0.0465960980305802;MAN;SU;Final
|
||||
121;72.0;0.0305768687605509;0.0579001201426167;0.0815920332107405;0.0582354158080567;0.639737991266376;0.0004585152838427;0.907608695652174;0.002927126519331;0.136607257407538;0.0181969192590504;0.0156435088982936;0.0615188512352957;0.0252862471506044;MAN;SU;Initial
|
||||
122;73.0;0.0326906119983632;0.0030372136890794;0.0449129443103646;0.0033202354467374;0.685589519650655;0.0024344978165938;0.845108695652174;0.0041240927540016;0.174876146748601;0.171557659924219;0.0114789744938376;0.0456922158033556;0.171927275257926;MAN;SU;Final
|
||||
123;73.0;0.0427487362340596;0.140481316786502;0.126715923004228;0.140880438847319;0.639737991266376;0.0011026200873362;0.785326086956522;0.0027856668734153;0.0150123463532899;0.01915304964107;0.0542322364860254;0.0307528613201541;0.0203658475562213;MAN;SU;Initial
|
||||
124;74.0;0.0644318536563866;0.0163092336820409;0.0549164471450883;0.016618783717649;0.685589519650655;0.0528275109170306;0.855978260869565;0.0544075561213941;0.0120391250970642;0.0217994520873827;0.0067403528462088;0.0254798294920021;0.0209932647228735;WOMAN;SU;Final
|
||||
125;74.0;0.16826939582824707;0.0381762065997822;0.306648663801843;0.0393224175571556;0.471615720524018;0.0009421018185093999;0.263586956521739;0.0027244531083852053;0.121433147592557;0.0596003457903862;0.07701829820871353;0.167796361518718;0.06976741552352905;WOMAN;SU;Initial
|
||||
126;75.0;0.0193132488675463;0.0100408149853364;0.0922206649178321;0.0104119181776943;0.670305676855895;0.0010698689956331;0.951086956521739;0.0031882827887137;0.0148911146814885;0.0130637252689416;0.0083830270054096;0.0346368139664566;0.013517893758464;MAN;SU;Final
|
||||
127;75.0;0.0270713256117754;0.0445649721515778;0.177875670009354;0.0450986647837642;0.600436681222707;0.005622270742358;0.744565217391304;0.007301494031491;0.0118348793228693;0.0360591099929275;0.0050011384847069;0.0305287937077683;0.034961490263895;MAN;SU;Initial
|
||||
128;76.0;0.0889972989064966;0.0020120041074559;0.129540639495788;0.0024866540001645;0.925764192139738;0.316168122270742;0.869565217391304;0.318393018422398;0.166770504978578;0.0189177886599235;0.0604534435091691;0.0070151812816761;0.0241118402567943;MAN;SU;Final
|
||||
129;76.0;0.120914819711071;0.0161989236819501;0.139812141708729;0.0167003552966713;0.51528384279476;0.0017576419213973;0.654891304347826;0.0034276760356478;0.0435380813819187;0.156772593203527;0.045393068095676;0.121468286243132;0.15984222581108;MAN;SU;Initial
|
||||
130;77.0;0.0352579678607167;0.0013211335075214;0.0907163783584451;0.0016982808405558;0.648471615720524;0.0058624454148471;0.826086956521739;0.0076279393682194;0.0240438160868874;0.0100422175111441;0.009156596657809;0.0229250917294169;0.0100725156719149;MAN;SU;Final
|
||||
131;77.0;0.203577304555399;0.0120734933422082;0.301192183909375;0.0129322956323555;0.093886462882096;0.170251091703057;0.138586956521739;0.171732010141568;0.12588758554185;0.0874476636424297;0.322486646225242;0.12206821006615;0.104730466260325;MAN;SU;Initial
|
||||
132;78.0;0.0733464271733605;0.0083144533622726;0.135003412083621;0.0087920911830843;0.596069868995633;0.0073144104803493;0.730978260869565;0.0089554837375814;0.031006799383787;0.0794711130589172;0.027818626689875;0.113730979432791;0.0843736512632108;MAN;SU;Final
|
||||
133;78.0;0.0653256425496424;0.0263719088973208;0.0193012248301678;0.0266059566479906;0.604803493449782;0.0010589519650655;0.820652173913043;0.0030577046540223;0.014266953508611;0.0181108787868543;0.009926393954178;0.0499475329298249;0.0195674925853408;MAN;SU;Initial
|
||||
134;79.0;0.115434226143362;0.11803609650309;0.0808465781248221;0.118377303155073;0.646288209606987;0.0216921397379913;0.817934782608696;0.023884917137292;0.0398514272076673;0.0190143390841448;0.0072886828912195;0.0623722602930272;0.0222855030961865;MAN;SU;Final
|
||||
135;79.0;0.0520994279899217;0.0023803992539492;0.122611784009569;0.0028276390341386;0.670305676855895;0.0016266375545851;0.823369565217391;0.0032753348785079;0.0119915556774223;0.0282535416964445;0.0168703315185438;0.0713612729125393;0.0310622496564907;MAN;SU;Initial
|
||||
136;80.0;0.014536474831402302;0.0735147979627494;0.305394009154592;0.074282102395892;0.703056768558952;0.0042903930131004;0.8456984758377075;0.0071165083406783;0.0396667104529316;0.0440547799167087;0.0399002004615244;0.194951099206139;0.057583999687745;MAN;SU;Initial
|
||||
137;80.0;0.0289176770230752;0.0145845686196049;0.100002571482387;0.0149731033132298;0.716157205240175;0.0319759825327511;0.807065217391304;0.0338959074636285;0.0239446704561915;0.0773277823820149;0.0147858375297104;0.0395138413126002;0.0758471224498372;MAN;SU;Final
|
||||
138;81.0;0.0762004531118908;0.007568932039236;0.132739621889148;0.0080433087440624;0.698689956331878;0.13410480349345;0.880434782608696;0.13587743065757;0.0758873880146048;0.102967520356568;0.0141056881154721;0.0737619599663295;0.104963385440586;MAN;SU;Final
|
||||
139;81.0;0.05308358743786812;0.000576138707312;0.0267881137189985;0.0008085535888296;0.620087336244541;0.000796943231441;0.847826086956522;0.0027094962948454;0.0066091760023541;0.0210778522713325;0.0270039491200905;0.0770930796146194;0.0247476720879101;MAN;SU;Initial
|
||||
140;82.0;0.0527338159328787;0.0004602533876498;0.0163348456356985;0.0006937326092339;0.62882096069869;0.0001965065502183;0.78804347826087;0.0018607384193516;0.012913434766232967;0.0205521655523878;0.00231074067979;0.0427154192550832;0.0208594140327877;MAN;SU;Final
|
||||
141;82.0;0.12927699089050293;0.0010267131331705;0.831019987930762;0.0028838577770134;0.635371179039301;0.002325327510917;0.817934782608696;0.0040370406642074;0.0265996443094771;0.342112896409775;0.0808696165028321;0.123065638089449;0.337509965068831;MAN;SU;Initial
|
||||
142;83.0;0.0518732841066844;0.002809978346568;0.0374558292103135;0.0030849192276777;0.655021834061135;0.0028602620087336;0.820652173913043;0.0045049456468514;0.0340958885326211;0.043477623740852;0.0235982189647785;0.0050810434303738;0.0414194569073727;MAN;SU;Final
|
||||
143;83.0;0.11449193954467773;0.0200756945098476;0.138512283264295;0.0205263513042964;0.447598253275109;0.00042608004878275096;0.551630434782609;0.0014798855265019;0.104811910880398;0.0278867714802761;0.0372830346239865;0.295440243700533;0.0523867865787689;MAN;SU;Initial
|
||||
144;84.0;0.149342643503905;0.0163262492632132;0.0674191285732485;0.0166915894333032;0.637554585152838;0.0122707423580786;0.777173913043478;0.0141894906364596;0.0699032958124719;0.0361062848521651;0.0197662590016932;0.0244343575420268;0.037119950201686;MAN;SU;Final
|
||||
145;84.0;0.17527814847434;0.003128573502337;0.153227880422396;0.003681681612491;0.574235807860262;0.0003493449781659;0.717391304347826;0.0020783686438372;0.0310171359665377;0.0133299175810351;0.0579589554033402;0.105368477355589;0.0213731601583221;MAN;SU;Initial
|
||||
146;85.0;0.04809102788567543;0.021460503262318;0.0071214056512611;0.0216451606444827;0.718340611353712;0.0025;0.921195652173913;0.0042220263550201;0.0109896608675894;0.0076095576685619;0.0008700060660801;0.0355364942805327;0.008012454357685;MAN;SU;Final
|
||||
147;85.0;0.0153450903185475;0.0647519154096763;0.0850209635789209;0.0650860294462621;0.716157205240175;0.0006768558951965;0.888586956521739;0.0023177618907713;0.0096382018993093;0.0189925901772873;0.0037536976530504;0.0167493316697355;0.01744781503363;MAN;SU;Initial
|
||||
148;86.0;0.0535348543295084;0.0147337278558465;0.0814628129249571;0.0150935996331415;0.61353711790393;0.0243231441048035;0.75;0.0260176933372507;0.067252719521266;0.0918606182619736;0.0116237705604081;0.0696315893924969;0.0936289123654275;MAN;SU;Final
|
||||
149;86.0;0.0437637757203068;0.0153687729510915;0.10432719991242;0.015771083048304;0.541484716157205;0.00042608004878275096;0.714673913043478;0.0014798855265019;0.0201464556631979;0.0142109794078154;0.0072401722351149;0.0612116034476883;0.0168672491721091;MAN;SU;Initial
|
||||
150;87.0;0.047548279731784;0.0118885273861805;0.203458061332783;0.012493823330975;0.665938864628821;0.0010152838427947;0.820652173913043;0.0026877332723968;0.024470791220664978;0.0203555131728195;0.0018401933288996;0.0691447736958114;0.022736415612346;MAN;SU;Final
|
||||
151;87.0;0.1704506129026413;0.0122783576645082;0.192355674520487;0.0128407969450555;0.578602620087336;0.0214956331877729;0.698369565217391;0.023297315531181;0.195731387656071;0.227764957744218;0.098951970349224;0.261788471249032;0.245957352577695;MAN;SU;Initial
|
||||
152;88.0;0.104654283764256;0.0461177490080569;0.181530428113048;0.0466861299092977;0.615720524017467;0.0132751091703057;0.769021739130435;0.0148859073548134;0.0433182580384339;0.0878261453111785;0.043047866693854;0.0734478274845887;0.0900914430544056;MAN;SU;Final
|
||||
153;88.0;0.0152292226134494;0.0744891711375195;0.0692783517459289;0.0747876962376999;0.650655021834061;0.0014737991266375;0.804347826086957;0.0031338752325923;0.033143836711011;0.0268947300169214;0.033722356121797;0.140501365674411;0.0364781519666998;MAN;SU;Initial
|
||||
154;89.0;0.0526230703168419;0.0080667175866042;0.0703430000442049;0.0084063554730061;0.731441048034934;0.0224017467248908;0.853260869565217;0.0241787179403476;0.0295518602331776;0.0146752419125036;0.0033053479285396;0.0128905909348552;0.0137472560679881;MAN;SU;Final
|
||||
155;89.0;0.041679951324506;0.0004505201988186;0.0422041069962386;0.000732295265094;0.713973799126637;0.0011572052401746;0.883152173913043;0.0028291929183125;0.0088486673247002;0.018651758437282;0.010998370125889778;0.14213743456383;0.0268708615426957;MAN;SU;Initial
|
||||
156;90.0;0.0243619804333068;0.0013932392913858;0.103638356803184;0.0017925485877103;0.681222707423581;0.0007532751091703;0.864130434782609;0.0024483400254627;0.0187079287439746;0.0168759797433692;0.0032311941231146;0.126222989296878;0.0243575657903394;MAN;SU;Final
|
||||
157;90.0;0.0352624118728147;0.0002049836075263;0.0272101012388475;0.0004542506040889;0.615720524017467;0.0010698689956331;0.77445652173913;0.0027965483846396;0.0707647401494578;0.027742378565487;0.0050320730960209;0.0175215776755063;0.0281872712631975;MAN;SU;Initial
|
||||
158;91.0;0.0297598068836809;0.0201072611622546;0.0313256094202047;0.0203552195974623;0.639737991266376;0.0171288209606987;0.815217391304348;0.0188032513955538;0.0146603554813275;0.055175352947481;0.0219426628010699;0.0486810471871521;0.0552564587815948;MAN;SU;Final
|
||||
159;91.0;0.0252867939556219;0.0051190984553149;0.167976812711771;0.0056473011980768;0.633187772925764;0.0005676855895196;0.866847826086957;0.0024918660703598;0.0129451371890692;0.0406521361937733;0.0192917993427168;0.0631695127411903;0.0423741022402876;MAN;SU;Initial
|
||||
160;92.0;0.0919891205159227;0.0010342141112604;0.12170840054750443;0.00121713859897;0.694323144104804;0.186331877729258;0.804347826086957;0.187651661062688;0.124822634048379;0.0296791616248831;0.0344283630295088;0.0050124609723251;0.0319218272521123;MAN;SU;Final
|
||||
161;92.0;0.0376778471995291;0.0042164539633666;0.0387869171747656;0.0044884389908143;0.65938864628821;6.55021834061135e-05;0.8125;0.0017845678407817;0.0078217102251176;0.0302805821919921;0.0110201625732117;0.0684728351233373;0.032447495086742;MAN;SU;Initial
|
||||
162;93.0;0.0710692778193462;0.0095593627319652;0.0094904634108907;0.0097821119737399;0.48471615720524;0.00042608004878275096;0.595108695652174;0.0016322266836418;0.0797405190164066;0.0451853061976135;0.0679893764235656;0.0373591902331935;0.0485783822147449;MAN;SU;Initial
|
||||
163;93.0;0.179174222226163;0.0547366385603848;0.2766992747783661;0.0549302885726268;0.67467248908297;0.350316593886463;0.8125;0.351124604185029;0.104472227610558;0.166165390748009;0.14197813087471;0.0958524620401802;0.171875944754689;MAN;SU;Final
|
||||
164;94.0;0.0121524014486854;0.0173469038447944;0.47665105411625;0.0184893442557066;0.700873362445415;0.0006331877729257;0.853260869565217;0.0023395249132199;0.0237477632212184;0.0251119977854453;0.0089355200857999;0.0256709820393701;0.0246744896888397;MAN;SU;Initial
|
||||
165;94.0;0.0477902384561961;0.0176372810301857;0.0628177440959696;0.0179563003575221;0.956331877729258;0.306451965065502;0.842391304347826;0.308621421342996;0.0890258611520737;0.128604142389583;0.035448040813207626;0.139501771878967;0.134743305853002;MAN;SU;Final
|
||||
166;101.0;0.0318533121321269;0.0066915268397634;0.0530285308412566;0.0069892408531175;0.64410480349345;7.64192139737991e-05;0.842391304347826;0.0019477905091459;0.0119457175334199;0.0302156599101467;0.0635032091700636;0.0417671284564333;0.0319599321177794;WOMAN;SA;Initial
|
||||
167;101.0;0.0392139001604695;0.0189994998839622;0.0644574136605014;0.0193182245806291;0.668122270742358;0.0087117903930131;0.823369565217391;0.0104027247304106;0.017664458876414;0.0646105792547899;0.0037113981658473;0.0287865010137179;0.0622934567380702;WOMAN;SA;Final
|
||||
168;103.0;0.0487127256529294;0.0183589290312115;0.143680209002008;0.0188413807238205;0.620087336244541;0.0007641921397379;0.83695652173913;0.0026659702499483;0.0111138877646156;0.0200266107568024;0.0157864657048419;0.164096403911227;0.0304283096700525;WOMAN;SA;Initial
|
||||
169;103.0;0.0946745347935634;0.0210418209411776;0.0749173773647767;0.0214008397080861;0.552401746724891;0.0627838427947598;0.741847826086957;0.0645600060936463;0.0255558569813158;0.408803626874991;0.0111476035962049;0.0442502728276182;0.392993698048176;WOMAN;SA;Final
|
||||
170;104.0;0.306563550285796;0.0465773742680174;0.241703916257382;0.0473397665048277;0.358078602620087;0.0471834061135371;0.456521739130435;0.0488253408633391;0.0141759781413644;0.0766306839489177;0.0481458608771758;0.153491846254996;0.0847475839242944;WOMAN;SA;Final
|
||||
171;104.0;0.225895894843825;0.0396406035518884;0.245871099184092;0.0403850700401092;0.451965065502183;0.0005786026200873;0.5625;0.00218718375608;0.0251012911321247;0.026901940186124;0.111524304854822;0.39462675292191;0.0584263673848773;WOMAN;SA;Initial
|
||||
172;105.0;0.0953196050566807;0.0062960845563278;0.99474511103201;0.0085194568450858;0.513100436681223;0.0062227074235807;0.652173913043478;0.0079108586600507;0.030540430918335915;0.0312702861562295;0.0240581363308804;0.351473128171343;0.0560168650128492;WOMAN;SA;Final
|
||||
173;105.0;0.182954355249215;0.0603780826570842;0.3036417067050934;0.0626228135301213;0.445414847161572;0.121834061135371;0.657608695652174;0.124114517024124;0.0107210243441826;0.0408112590491468;0.125714443512033;0.0874847820268364;0.0474399774867622;WOMAN;SA;Initial
|
||||
174;106.0;0.117467570317233;0.0787845243142488;0.314041645028215;0.0796126962794198;0.550218340611354;0.0123362445414847;0.9375;0.0150491300231776;0.0249788158537689;0.11720735013858;0.0038698635935692;0.0420045856656632;0.113881464598017;WOMAN;SA;Final
|
||||
175;106.0;0.0359265413145774;0.0433319561502047;0.142312748181403;0.0437974541797252;0.587336244541485;0.003089519650655;0.782608695652174;0.0049946136519439;0.0261088478293968;0.132902968580085;0.0033097100605484;0.0119275331244696;0.126543506709241;WOMAN;SA;Initial
|
||||
176;107.0;0.120656754050793;0.0518755715230631;0.285396389609391;0.0526573505977745;0.554585152838428;0.102150655021834;0.894021739130435;0.10457132286532;0.0298962257138075;0.175585609857162;0.0114205096214419;0.0329221998161341;0.16936634411902;WOMAN;SA;Final
|
||||
177;107.0;0.0963676512431107;0.0759467601923277;0.298754004911136;0.0767375464417737;0.441048034934498;0.0029257641921397;0.5625;0.0045811162254213;0.032645244151353836;0.0648588426613835;0.0759573312054668;0.206283924018866;0.0782057081522884;WOMAN;SA;Initial
|
||||
178;108.0;0.116400339768718;0.0186624226563098;0.142126867642136;0.0191659612568721;0.672489082969432;0.163908296943231;0.853260869565217;0.16514869585088;0.0665950962998364;0.173249047367803;0.0052942339012212;0.0747217875943552;0.171611074910883;WOMAN;SA;Final
|
||||
179;108.0;0.0647999451279257;0.125075917547607;0.167330663006052;0.12557094688962;0.609170305676856;0.0008624454148471;0.779891304347826;0.0026659702499483;0.0444357138531849;0.0259439345164175;0.0286776274052528;0.108100117832098;0.0332958733530949;WOMAN;SA;Initial
|
||||
180;109.0;0.170725059872892;0.0178956154731036;0.0736445279338494;0.0182806204464092;0.620087336244541;0.001353711790393;0.771739130434783;0.0030794676764709;0.0082229981883481;0.0480001328955815;0.0036627202263907;0.0761958602087335;0.0497926846257416;WOMAN;SA;Final
|
||||
181;109.0;0.0700656404580358;0.0055981038903717;0.0707697595401788;0.0059458249833165;0.54585152838428;0.0043558951965065;0.668478260869565;0.0060392387294747;0.020861919969320297;0.0223979890944644;0.0015826976947513;0.0484035197279988;0.023049876599727;WOMAN;SA;Initial
|
||||
182;110.0;0.155917392491549;0.0256670174494331;0.200780758053883;0.0263005833459171;0.585152838427948;0.0715829694323144;0.744565217391304;0.0730802293822566;0.0114353096198377;0.271087203399696;0.0352268618999806;0.0740390800255255;0.263880760764327;WOMAN;SA;Final
|
||||
183;110.0;0.110525105408368;0.0089641232413476;0.181543856490999;0.0095489139723595;0.51528384279476;0.0226419213973799;0.614130434782609;0.0242875330525903;0.0377823253729285;0.0603343190338937;0.0417913837290524;0.0259131537256949;0.0598339198445731;WOMAN;SA;Initial
|
||||
184;111.0;0.137895588144398;0.0367825938440067;0.152500152206542;0.0373078609020919;0.558951965065502;0.0048908296943231;0.692934782608696;0.0065615512682401;0.0124765808003019;0.0922652253793669;0.0089135825022039;0.0058948438188763;0.0868823408930194;WOMAN;SA;Final
|
||||
185;111.0;0.0551548219226455;0.0286338500777581;0.0036293329406275;0.0288317071995774;0.648471615720524;0.0012336244541484;0.807065217391304;0.0028836004744338;0.053773611654508;0.0329080311316012;0.0213884505733557;0.03205888345837593;0.0315871239538849;WOMAN;SA;Initial
|
||||
186;112.0;0.178112885731253;0.0032630076409173;0.212156723928542;0.0039361457767139;0.430131004366812;0.0225982532751092;0.491847826086957;0.0246466229229915;0.0223162350391513;0.143749878993645;0.0172661279279147;0.2891900102097;0.158979852522051;WOMAN;SA;Final
|
||||
187;112.0;0.0471678576914661;0.0008927600085875;0.147813544320632;0.0013897163837337;0.698689956331878;0.0060807860262008;0.834239130434783;0.0078564511039293;0.0108264570475597;0.0197439417754246;0.0043957077812712;0.0877704667230649;0.023814467440599;WOMAN;SA;Initial
|
||||
188;113.0;0.275506018845845;0.0590161793514623;0.403077853299468;0.0600886711382357;0.578602620087336;0.254312227074236;0.779891304347826;0.255639343191983;0.128691489102959;0.216283975645527;0.0528201347666497;0.31449541109301;0.235293053032589;WOMAN;SA;Final
|
||||
189;113.0;0.223428497957815;0.001754251521539;0.0987275236002025;0.0022150886938672;0.637554585152838;0.0066921397379912;0.796195652173913;0.0083352375977975;0.0156369528182078;0.0028203326588044;0.0126949579262421;0.111478737680859;0.0099235997135185;WOMAN;SA;Initial
|
||||
190;114.0;0.0591405165851105;0.0051856847266591;0.0477679507811178;0.0054831615371331;0.65938864628821;0.0195087336244541;0.817934782608696;0.0211101317751009;0.017763203590548;0.109647219549202;0.0072083279793799;0.0207582440333308;0.104812405719939;WOMAN;SA;Final
|
||||
191;114.0;0.0560258274299344;0.0384448381004223;0.1500658243894577;0.0386004592651659;0.696506550218341;0.181943231441048;0.83695652173913;0.183538449819911;0.224331603799372;0.338517166161962;0.151634342881434;0.0350670753206517;0.336574625094337;WOMAN;SA;Initial
|
||||
192;115.0;0.0398888892655983;0.0138775459128164;0.158526667857135;0.014388542138964;0.646288209606987;0.0071724890829694;0.815217391304348;0.0088357871141144;0.0169799420654224;0.108512825292992;0.0045237869373032;0.620357305397732;0.150777991055106;WOMAN;SA;Final
|
||||
193;115.0;0.1213219091296196;0.0065280862976429;0.0385805171381614;0.0067820407751752;0.600436681222707;0.0066703056768559;0.744565217391304;0.008313474575349;0.0134478927922451;0.0134490934009995;0.0057655604357308;0.0236898979475813;0.0128956150227182;WOMAN;SA;Initial
|
||||
194;116.0;0.0437709424722112;0.0125495545143367;0.0441373645004574;0.0128313401091342;0.648471615720524;0.0049126637554585;0.820652173913043;0.0065833142906886;0.0285753453445014;0.0424125253236434;3.84745118362665e-05;0.0874191388090091;0.0459885004595909;WOMAN;SA;Initial
|
||||
195;116.0;0.276162647713198;0.0124454225462175;0.237466650269637;0.0132014315482897;0.427947598253275;0.280971615720524;0.635869565217391;0.282451386848606;0.044008793704964;0.237803741181461;0.032418096623024;0.232996275339482;0.245703409391787;WOMAN;SA;Final
|
||||
196;117.0;0.0786000110057107;0.028322521371603;0.0827006022573664;0.0286886882874742;0.541484716157205;0.0592576419213974;0.684782608695652;0.0609799889008586;0.0157071409042597;0.159100682072046;0.0121209501283807;0.0413474476399836;0.15376426966474;WOMAN;SA;Final
|
||||
197;117.0;0.158677478690779;0.20720337576854;0.1037688322858;0.20757219583236;0.196506550218341;0.0064082969432314;0.309782608695652;0.0083025930641247;0.0251344797026999;0.0419977053249507;0.0828180804330539;0.169199843886872;0.0542947200833772;WOMAN;SA;Initial
|
||||
198;118.0;0.190695010631464;0.229948665274572;0.0323486839653921;0.230175962433324;0.480349344978166;0.0022816593886462;0.633152173913043;0.0041893818213473;0.0091471306602047;0.125418620172573;0.0034773545635132;0.0372338988167641;0.120752895896144;WOMAN;SA;Final
|
||||
199;118.0;0.125412253841762;0.129608349248487;0.162277537644945;0.130113225511279;0.585152838427948;0.0721615720524018;0.763586956521739;0.0737548830781619;0.0202197808120314;0.316756260954253;0.0034443209569803;0.0482792588466787;0.304910943931731;WOMAN;SA;Initial
|
||||
200;119.0;0.754024942278699;0.0016535699791717;0.285687734534619;0.0026830017239553;0.567685589519651;0.0431659388646288;0.684782608695652;0.0453214942491213;0.0541706928292222;0.313907325046041;0.221029272828075;0.0688228094662359;0.311375449218365;WOMAN;SA;Final
|
||||
201;119.0;0.0584638792313632;0.0008457610552033;0.174586129620824;0.0014008901935797;0.593886462882096;0.0043013100436681;0.820652173913043;0.006322158021306;0.0155179459327065;0.104364848020836;0.012207809835672379;0.0902878490209903;0.104939294757563;WOMAN;SA;Initial
|
||||
202;120.0;0.242731586102865;0.0043947179879397;0.285323935414694;0.0052384897028427;0.5;0.0057205240174672;0.630434782608696;0.0073994276325096;0.0346139557659626;0.198267916386063;0.0049455045985253;0.102762333780731;0.195516247353219;WOMAN;SA;Final
|
||||
203;120.0;0.104938919609542;0.0116321842116578;0.142499191331085;0.0121350537417557;0.408296943231441;0.000589519650655;0.519021739130435;0.0024809845591355;0.04981621354818344;0.0569566435954761;0.0797920407321103;0.193743219662535;0.0697777560056356;WOMAN;SA;Initial
|
||||
204;121.0;0.169225049310539;0.0300770518458321;0.0991974128477057;0.0305084663514141;0.572052401746725;0.0154912663755459;0.709239130434783;0.0171166171557906;0.040219144762825;0.123815203264847;0.0049172306361744;0.0127535978474765;0.118495142693544;MAN;SA;Final
|
||||
205;121.0;0.10107511281967163;0.0465078809034178;0.0329246299180722;0.0467350509671412;0.593886462882096;0.0020414847161572;0.828804347826087;0.0040043961305346;0.0089617785572517;0.0368567967829705;0.0029903850802211;0.10037226058924;0.0410515207559517;MAN;SA;Initial
|
||||
206;122.0;0.140859660758095;0.0025616711322155;0.0722606659984155;0.0029390299149796;0.665938864628821;0.000589519650655;0.815217391304348;0.0022524728234257;0.0106740058432009;0.0274692235354246;0.0034064472283407;0.0167372295535888;0.0255772473639649;MAN;SA;Final
|
||||
207;122.0;0.0567473534786522;0.0003127428012883;0.157479033417705;0.0008328955086058;0.615720524017467;0.0024017467248908;0.766304347826087;0.0040043961305346;0.0078506065869427;0.0302549017731626;0.0212306173466389;0.0902456941081004;0.0344323255536164;MAN;SA;Initial
|
||||
208;123.0;0.096895560238923;0.0012207179399839;0.209859463056392;0.0018607915840608;0.574235807860262;0.0069104803493449;0.706521739130435;0.0086725644457502;0.114950185067055;0.17207145204216;0.0109173869465822;0.172134423690472;0.180112404577544;MAN;SA;Final
|
||||
209;123.0;0.143247618319866;0.0085088660146723;0.337771648059943;0.0094212483306034;0.141921397379913;0.0133515283842795;0.160326086956522;0.0149838409558319;0.120250708604002;0.0507994712701957;0.170101585203671;0.101573904328334;0.0634642660342723;MAN;SA;Initial
|
||||
210;124.0;0.150371682671456;0.042691291352457;0.142558046322226;0.0431986880071464;0.657205240174673;0.110818777292576;0.907608695652174;0.112743337794753;0.011057977838879;0.0456714902314276;0.0111582421055456;0.0622557978673735;0.0467935801908449;MAN;SA;Final
|
||||
211;124.0;0.0748072866150476;0.0109631187927209;0.0360293908497647;0.0112402934233382;0.587336244541485;0.0026310043668122;0.752717391304348;0.0044287750682814;0.0304421983698941;0.0504264639611692;0.0147071359415905;0.057274278759474;0.0517720139913403;MAN;SA;Initial
|
||||
212;125.0;0.267493788423818;0.0324574124251571;0.21259396506079;0.0331523631510714;0.633187772925764;0.0779803493449782;0.78804347826087;0.0794894394933568;0.0806123564901112;0.132766665274705;0.0084243526943452;0.165962161640225;0.140707723301453;MAN;SA;Final
|
||||
213;125.0;0.025079114362597466;0.001088733411947;0.194998870239294;0.0016608112563577;0.683406113537118;0.0010152838427947;0.845108695652174;0.0026442072274997;0.044196498220689;0.0960495582634841;0.0041401071243214;0.117264265693055;0.100302400180415;MAN;SA;Initial
|
||||
214;126.0;0.1272092934099;0.0156453504263156;0.100220431688892;0.0160692656071573;0.694323144104804;0.0056986899563318;0.861413043478261;0.0073232570539396;0.0116330236583983;0.0513273823920579;0.0016823574217824;0.0263967897774027;0.0491259854365669;MAN;SA;Final
|
||||
215;126.0;0.05559540167450905;0.0445918603791614;0.279436767037349;0.0453178296192801;0.593886462882096;0.0028493449781659;0.782608695652174;0.0047769834274584;0.014440009370446205;0.0352260517468486;0.013442555399182;0.121243813149622;0.0413831546769605;MAN;SA;Initial
|
||||
216;127.0;0.147361344344955;0.0312217400456765;0.110118340161651;0.0316669172832654;0.593886462882096;0.0893777292576419;0.845108695652174;0.0912523531268022;0.04525986313819885;0.188107995633296;0.0048062648922114;0.067559321994232;0.183032897318993;MAN;SA;Final
|
||||
217;127.0;0.0523045201914368;0.0017162401304965;0.100156736020024;0.0021184396887931;0.602620087336245;0.0115393013100437;0.807065217391304;0.0134713108956572;0.0124089897216525;0.0581318199309138;0.0449741221223009;0.0959928390514038;0.0623867218464761;MAN;SA;Initial
|
||||
218;128.0;0.126183821970372;0.0086857355910465;0.139306074569079;0.0091909255318075;0.637554585152838;0.0205676855895197;0.793478260869565;0.022285334987323;0.0258626405311259;0.0972714759604791;0.0109517828556528;0.132371912986486;0.102172408288848;MAN;SA;Final
|
||||
219;128.0;0.0288803827900937;0.0183055178363846;0.82772007545716;0.0201629199134688;0.676855895196507;0.0030021834061135;0.877717391304348;0.0047987464499069;0.0211961851890275;0.0090911775973344;0.008197387656071;0.0526480164139398;0.0113671952251018;MAN;SA;Initial
|
||||
220;129.0;0.0513485046968566;0.0193955970464428;0.117847131104015;0.019826404215105;0.600436681222707;0.0008624454148471;0.804347826086957;0.0027965483846396;0.0097677141071112;0.0460888274666535;0.0341038719288641;0.055515771945463;0.0472792967603583;MAN;SA;Initial
|
||||
221;129.0;0.0476682784903816;0.0135976808543388;0.214356686621344;0.0142243834613907;0.655021834061135;0.0151965065502183;0.826086956521739;0.0168663423976322;0.0126526388880362;0.0835142410401605;0.0035438016684149;0.0633345302481326;0.0828866952984397;MAN;SA;Final
|
||||
222;130.0;0.0640949537251592;0.0049515589959967;0.0206508288047048;0.0051961189265954;0.707423580786026;0.0075764192139738;0.875;0.0092384030294127;0.01844390109181404;0.074627159321795;0.0076710355983973;0.0588151478349857;0.0739650039553354;MAN;SA;Final
|
||||
223;130.0;0.0498937896756523;0.0069317323864908;0.140272117500773;0.0074121123715944;0.541484716157205;0.0017248908296943;0.682065217391304;0.0033623869683021;0.076914355721259;0.147005617455257;0.0029413476155778;0.0341111638053855;0.143650602577619;MAN;SA;Initial
|
||||
224;131.0;0.220846745999933;0.0126050959547555;0.0921553798281227;0.0130475580311023;0.606986899563319;0.0239628820960699;0.815217391304348;0.0260176933372507;0.0660557550107025;0.0315811357445972;0.0233229021390519;0.0080998607351083;0.0314698654395689;MAN;SA;Final
|
||||
225;131.0;0.0476411762757562;0.003936359146471;0.234730980338008;0.0046079281571639;0.672489082969432;0.0021615720524017;0.828804347826087;0.0037976474172733;0.0133141855303201;0.061731612121743;0.010335600934922695;0.15686409175395966;0.0564669554205613;MAN;SA;Initial
|
||||
226;132.0;0.0668444306279019;0.0038991948816961;0.022717658934021;0.004149323720323;0.65938864628821;0.001943231441048;0.820652173913043;0.0035473726591149;0.005905874073505402;0.0223282608370468;0.004296178929507732;0.032496239223928;0.0217118982758418;MAN;SA;Final
|
||||
227;132.0;0.0352412767354663;0.093157820066812;0.154164788304527;0.0936278789176133;0.635371179039301;0.0051419213973799;0.782608695652174;0.0067574184702771;0.0136926310537986;0.030754178490866;0.016726205125451088;0.11589561402797699;0.0268733151265635;MAN;SA;Initial
|
||||
228;134.0;0.0461560625426895;0.0348003020673883;0.0894583294807053;0.0351659667912553;0.694323144104804;0.0268013100436681;0.866847826086957;0.0284442703402649;0.0225632853861079;0.0591012101561503;0.0137546038832564;0.0301203076501406;0.0576062881876092;MAN;SA;Final
|
||||
229;134.0;0.0197988980206151;0.0889281130584353;0.196523310506409;0.0894798261301488;0.729257641921397;0.0085262008733624;0.839673913043478;0.0104027247304106;0.0150480939610257;0.0160161275778881;0.0150365313621295;0.181953098578885;0.0281244624427079;MAN;SA;Initial
|
||||
230;135.0;0.11298422515392303;0.0755349436359313;0.213978874231452;0.0761167732381252;0.576419213973799;0.0484934497816594;0.763586956521739;0.050185529766374;0.0574189014776912;0.119485276352258;0.0128066789059844;0.11516775680312;0.123281109909106;MAN;SA;Final
|
||||
231;135.0;0.0207441686033153;0.064350493751609;0.205322080619989;0.0649297648608403;0.668122270742358;0.0189956331877729;0.828804347826087;0.0206639898149055;0.109443243902487;0.0884788626129991;0.0060122125977869;0.113889583177572;0.0952876538404389;MAN;SA;Initial
|
||||
232;136.0;0.0730046450879974;0.0001754580295251;0.266614491328021;0.0009220116662094;0.657205240174673;0.0065829694323144;0.826086956521739;0.0082590670192276;0.0242647162958106;0.0234878941864115;0.0262414422712389;0.0603634458166168;0.0263715011083391;MAN;SA;Final
|
||||
233;136.0;0.038928388031107;0.0099978967433661;0.274299584338041;0.0107439501157209;0.62882096069869;0.0051965065502183;0.779891304347826;0.006909759627417;0.0287437875206532;0.0433854413841973;0.0114840702206878;0.0319330782050578;0.0428925706771159;MAN;SA;Initial
|
||||
234;137.0;0.0624798161263915;0.009559517700678;0.103963968973309;0.0099700560467447;0.622270742358079;0.0011572052401746;0.771739130434783;0.0028074298958639;0.0084839176315972;0.0294062724934731;0.0066202006668869;0.0511110936748417;0.0301435557463705;MAN;SA;Final
|
||||
235;137.0;0.213097129569815;0.0288824762667505;0.476176866376634;0.0300917916168123;0.377729257641921;0.0226855895196507;0.559782608695652;0.0245813338556459;0.0482176216314771;0.113551203229341;0.0352812140714017;0.456021815972861;0.144724999793191;MAN;SA;Initial
|
||||
236;138.0;0.0349990259163623;0.0067231413916588;0.054725204167281;0.0070254025553973;0.724890829694323;0.0153275109170306;0.85054347826087;0.0171927877343605;0.0613277873472649;0.0263844182319974;0.0021115791276782;0.0138185157028485;0.0261616718736792;MAN;SA;Final
|
||||
237;138.0;0.0751072678636116;0.0294861387715267;0.556985645622867;0.0308088674782766;0.465065502183406;0.0142794759825328;0.709239130434783;0.0163766743925396;0.0197906572282988;0.0693162547201607;0.0199715150813464;0.0703208694280318;0.0706081513143154;MAN;SA;Initial
|
||||
238;139.0;0.0797310433804953;0.0267385776806448;0.664553201147329;0.0282813584536635;0.604803493449782;0.0099454148471615;0.736413043478261;0.0116323354987541;0.0094526583908095;0.154488505725275;0.01573357917368412;0.0879907546541918;0.152465536794519;MAN;SA;Final
|
||||
239;139.0;0.027061603031317;0.0335269940017933;0.0832412875771233;0.0338737198850567;0.602620087336245;0.0068013100436681;0.75;0.0083896451539189;0.0123470134391436;0.0238117324296182;0.007720224093645811;0.0585396118579702;0.0253583605011403;MAN;SA;Initial
|
||||
240;140.0;0.0516653752777834;0.0104313644015074;0.12813215639171;0.0108865091397704;0.648471615720524;0.0019868995633187;0.839673913043478;0.0037214768387033;0.0461561646770703;0.0855092091030128;0.0030710531595022;0.126101534090384;0.0909651971352392;MAN;SA;Final
|
||||
241;140.0;0.053446506117167;0.0124021721565912;0.22564620359934;0.0130542217559535;0.626637554585153;0.0085698689956331;0.89945652173913;0.0106747625110175;0.119794962995653;0.0684764718670505;0.0158666845534036;0.324364430670596;0.0933944621069601;MAN;SA;Initial
|
||||
242;141.0;0.0408146207998022;0.0087572627304745;0.104150634938997;0.0091606951158945;0.676855895196507;0.0221288209606987;0.842391304347826;0.0236999314464793;0.0145790057839045;0.0735684560429879;0.01178241515752;0.0063822379103143;0.0692121146512906;MAN;SA;Final
|
||||
243;141.0;0.0440037523735954;0.0094051765001335;0.093968767891603;0.0097889350308601;0.672489082969432;0.0013646288209607;0.831521739130435;0.0030032970979009;0.0264119054616845;0.0150339663760188;0.005727252457290888;0.0509217981698117;0.0168939187142447;MAN;SA;Initial
|
||||
244;142.0;0.195219369633575;0.0007774544646963477;0.158863721629161;0.0005728680254827;0.7348847389221191;0.17735807860262;0.847826086956522;0.180143418317936;0.12133804708719254;0.181178705865888;0.0540821374009806;0.032125477848557;0.212050778171777;MAN;SA;Final
|
||||
245;142.0;0.0174101371984416;0.0961152518453647;0.122599911630058;0.0965139872708986;0.687772925764192;0.0045851528384279;0.85054347826087;0.0062242244202874;0.0227570856372899;0.0366866206594564;0.004081368851081;0.398927496127325;0.0649153210327416;MAN;SA;Initial
|
||||
246;143.0;0.046842933642606;0.308518384649599;0.789118803008055;0.31019277855525;0.569868995633188;0.0014410480349345;0.698369565217391;0.0031774012774894;0.0257956200138619;0.032820778272941;0.029340049251914024;0.136687133427372;0.0406165106248735;MAN;SA;Initial
|
||||
247;143.0;0.129398271894779;0.154149033895083;0.0291251231097889;0.154376890525366;0.64410480349345;0.0029585152838428;0.809782608695652;0.0046681683152156;0.0083991840391994;0.0413891896435029;0.010373495519161224;0.0209636994532953;0.0390562049790376;MAN;SA;Final
|
||||
248;144.0;0.04368305951356888;0.039209687510723;0.110317909030876;0.0395960295277342;0.593886462882096;0.0001965065502183;0.755434782608696;0.0020239610877158;0.0136697656064372;0.0374918090599339;0.0161357614947912;0.114098462711636;0.0432944778212515;MAN;SA;Initial
|
||||
249;144.0;0.0678226035912521;0.0016874701131654;0.0912195488900197;0.0020772042979906;0.661572052401747;0.007532751091703;0.817934782608696;0.0091513509396184;0.007525520697323;0.0529247320444273;0.004908815892496;0.0119666777598118;0.0494582035296564;MAN;SA;Final
|
||||
|
|
|
@ -15,6 +15,90 @@ print(" ----------------- PACKAGES EXPORTING ENDED ----------------- ")
|
|||
|
||||
print(" ----------------- READING DATASET ----------------- ")
|
||||
|
||||
|
||||
def model_training(X_train, X_test, X_val, y_train, y_test, y_val, xgb = True, rf = True, lgbm = True, multiple = False):
|
||||
|
||||
print(" ----------------- STARTING XGB ----------------- ")
|
||||
|
||||
start = time.time()
|
||||
models = []
|
||||
if xgb:
|
||||
xgb_model = XGBfit(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
models.append(xgb_model)
|
||||
if rf:
|
||||
rf_model = RFfit_lgbm(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
models.append(rf_model)
|
||||
if lgbm:
|
||||
lgbm_model = LGBMfit(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
models.append(lgbm_model)
|
||||
if multiple and rf:
|
||||
rf_multi_model = RFfit(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
models.append(rf_multi_model)
|
||||
|
||||
|
||||
end = time.time()
|
||||
|
||||
tiempo_entrenamiento_full = end - start
|
||||
|
||||
print(f"Tiempo optimización + entrenamiento full: {tiempo_entrenamiento_full:.2f} segundos")
|
||||
return(models)
|
||||
|
||||
def post_model(model, X_test, y_test, targets, modelname, savePath, multiple = False):
|
||||
|
||||
'''
|
||||
Function for generate the dataframe containing the predicted values and the test values of the selected target(s)
|
||||
Later, it calls for plots from plotting.py
|
||||
'''
|
||||
# saving predicted
|
||||
print(" ----------------- PREDICTING AND JOINING PRED + TEST ----------------- ")
|
||||
|
||||
if multiple:
|
||||
# make predict
|
||||
y_pred = model.predict(X_test) #, index = y_test.index, name = targets+"_pred")
|
||||
|
||||
df_predTest = pd.DataFrame([i for i in y_pred], index = y_test.index, columns= y_test.columns).add_suffix("_pred").join(y_test)
|
||||
df_predTest.reindex(sorted(df_predTest.columns), axis=1).to_csv(savePath+"/df_pred-test_multiTarget"+modelname+".csv", sep = ";", decimal = ".")
|
||||
|
||||
# y_test = pd.DataFrame([i for i in scaler.inverse_transform(y_test)], index=y_test.index, columns= y_test.columns)
|
||||
|
||||
else:
|
||||
y_test.name = targets+"_test"
|
||||
y_pred = pd.Series(model.predict(X_test), index = y_test.index, name = targets+"_pred")
|
||||
df_predTest = pd.concat([y_pred, y_test], axis = 1)
|
||||
df_predTest.to_csv(savePath+"/df_pred-test_"+modelname+"_"+targets+".csv", sep = ";")
|
||||
|
||||
plotTestVsPredicted (metabs=targets, df_predTest=df_predTest, modelname=modelname, savePath=savePath)
|
||||
plotResiduals(metabs=targets, df_predTest=df_predTest, modelname=modelname, savePath=savePath)
|
||||
|
||||
def exec_models(df, directory, targets, features, multiple = False):
|
||||
|
||||
if multiple:
|
||||
|
||||
X_train, X_test, X_val, y_train, y_test, y_val = preproc(df=df, targets=targets, features=features)
|
||||
|
||||
xgb_model, rf_model = model_training(X_train, X_test, X_val, y_train, y_test, y_val, xgb = True, rf = True, multiple = True)
|
||||
post_model(xgb_model, X_test=X_test, y_test=y_test, targets = targets, modelname = "xgb_multiTargets", savePath=directory, multiple= True)
|
||||
post_model(rf_model, X_test=X_test, y_test=y_test, targets = targets, modelname ="rf_multiTargets", savePath=directory, multiple= True)
|
||||
|
||||
else:
|
||||
for targets in post_targets:
|
||||
features = df.drop(targets, axis = 1).columns
|
||||
|
||||
if not os.path.exists(directory):
|
||||
os.mkdir(directory)
|
||||
else:
|
||||
os.mkdir(os.path.join(directory,"v1"))
|
||||
|
||||
X_train, X_test, X_val, y_train, y_test, y_val = preproc(df=df, targets=targets, features=features)
|
||||
|
||||
xgb_model, rf_model, lgbm_model = model_training(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
|
||||
post_model(xgb_model, X_test=X_test, y_test=y_test, targets = targets, modelname = "xgb_"+targets, savePath=directory)
|
||||
post_model(rf_model, X_test=X_test, y_test=y_test, targets = targets, modelname ="rf_"+targets, savePath=directory)
|
||||
post_model(lgbm_model, X_test=X_test, y_test=y_test, targets = targets, modelname ="lgbm_"+targets, savePath=directory)
|
||||
|
||||
## execution
|
||||
|
||||
main_df = pd.read_csv(os.path.join("..", "data", "final_merge.csv"), sep =";", decimal= ".")
|
||||
main_df[['Sex', 'Sweetener']] = main_df[['Sex', 'Sweetener']].astype("category")
|
||||
|
||||
|
|
@ -63,131 +147,11 @@ plasm_ant_features = ['CA_plasm_pre', 'CA.G_plasm_pre', 'CA.S_plasm_pre', 'To
|
|||
'VA.GG_plasm_post', 'VA.S_post', 'VA.GS_plasm_post', 'VA.SS_plasm_post',
|
||||
'Total.VA_plasm_post']
|
||||
|
||||
def model_trainig_multipleTarget(X_train, X_test, X_val, y_train, y_test, y_val, xgb = True, rf = True):
|
||||
|
||||
print(" ----------------- STARTING XGB ----------------- ")
|
||||
|
||||
start = time.time()
|
||||
|
||||
if xgb:
|
||||
xgb_model = XGBfit(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
if rf:
|
||||
rf_model = RFfit_lgbm(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
if lgbm:
|
||||
lgbm_model = LGBMfit(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
if multiple and rf:
|
||||
rf_model = RFfit(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
|
||||
end = time.time()
|
||||
|
||||
tiempo_entrenamiento_full = end - start
|
||||
|
||||
print(f"Tiempo optimización + entrenamiento full: {tiempo_entrenamiento_full:.2f} segundos")
|
||||
return(xgb_model, rf_model)
|
||||
#post_targets = [i for i in main_df.columns if "_post" in i]
|
||||
#pre_features = [i for i in main_df.columns if "_pre" in i]
|
||||
#delta_features = [i for i in main_df.columns if "Delta_" in i]
|
||||
|
||||
def post_model_multipleTarget(model, X_test, y_test, targets, modelname, savePath):
|
||||
|
||||
#modelname = "xgb_newDF_"+targets
|
||||
|
||||
# saving predicted
|
||||
print(" ----------------- PREDICTING AND JOINING PRED + TEST ----------------- ")
|
||||
|
||||
# make predict
|
||||
|
||||
|
||||
# plotting
|
||||
#metabs = y_test.columns.drop(list(y_test.filter(regex='Sex|Sweetener')))
|
||||
|
||||
plotTestVsPredicted (metabs=y_test.columns, df_predTest=df_predTest, modelname=modelname, savePath=savePath, multiple=True)
|
||||
plotResiduals(metabs=y_test.columns, df_predTest=df_predTest, modelname=modelname, savePath=savePath, multiple=True)
|
||||
|
||||
|
||||
def model_training_singleTarget(X_train, X_test, X_val, y_train, y_test, y_val):
|
||||
print(" ----------------- STARTING XGB ----------------- ")
|
||||
|
||||
start = time.time()
|
||||
|
||||
xgb_model = XGBfit(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
rf_model = RFfit_lgbm(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
lgbm_model = LGBMfit(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
|
||||
end = time.time()
|
||||
|
||||
tiempo_entrenamiento_full = end - start
|
||||
|
||||
print(f"Tiempo optimización + entrenamiento full: {tiempo_entrenamiento_full:.2f} segundos")
|
||||
return(xgb_model, rf_model, lgbm_model)
|
||||
|
||||
def post_model(model, X_test, y_test, targets, modelname, savePath, multiple = False):
|
||||
|
||||
'''
|
||||
Function for generate the dataframe containing the predicted values and the test values of the selected target(s)
|
||||
Later, it calls for plots from plotting.py
|
||||
'''
|
||||
# saving predicted
|
||||
print(" ----------------- PREDICTING AND JOINING PRED + TEST ----------------- ")
|
||||
|
||||
if multiple:
|
||||
# make predict
|
||||
y_pred = model.predict(X_test) #, index = y_test.index, name = targets+"_pred")
|
||||
|
||||
df_predTest = pd.DataFrame([i for i in y_pred], index = y_test.index, columns= y_test.columns).add_suffix("_pred").join(y_test)
|
||||
df_predTest.reindex(sorted(df_predTest.columns), axis=1).to_csv(savePath+"/df_pred-test_multiTarget"+modelname+".csv", sep = ";", decimal = ".")
|
||||
|
||||
# y_test = pd.DataFrame([i for i in scaler.inverse_transform(y_test)], index=y_test.index, columns= y_test.columns)
|
||||
|
||||
else:
|
||||
y_test.name = targets+"_test"
|
||||
y_pred = pd.Series(model.predict(X_test), index = y_test.index, name = targets+"_pred")
|
||||
df_predTest = pd.concat([y_pred, y_test], axis = 1)
|
||||
df_predTest.to_csv(savePath+"/df_pred-test_"+modelname+"_"+targets+".csv", sep = ";")
|
||||
|
||||
plotTestVsPredicted (metabs=targets, df_predTest=df_predTest, modelname=modelname, savePath=savePath)
|
||||
plotResiduals(metabs=targets, df_predTest=df_predTest, modelname=modelname, savePath=savePath)
|
||||
|
||||
def exec_singleTarget(df):
|
||||
post_targets = [i for i in df.columns if "_post" in i]
|
||||
|
||||
for targets in post_targets:
|
||||
features = df.drop(targets, axis = 1).columns
|
||||
directory = os.path.join("..","results", targets)
|
||||
|
||||
if not os.path.exists(directory):
|
||||
os.mkdir(directory)
|
||||
else:
|
||||
os.mkdir(os.path.join(directory+"v1"))
|
||||
|
||||
X_train, X_test, X_val, y_train, y_test, y_val = preproc(df=df, targets=targets, features=features)
|
||||
|
||||
xgb_model, rf_model, lgbm_model = model_training_singleTarget(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
|
||||
post_model(xgb_model, X_test=X_test, y_test=y_test, targets = targets, modelname = "xgb_"+targets, savePath=directory)
|
||||
post_model(rf_model, X_test=X_test, y_test=y_test, targets = targets, modelname ="rf_"+targets, savePath=directory)
|
||||
post_model(lgbm_model, X_test=X_test, y_test=y_test, targets = targets, modelname ="lgbm_"+targets, savePath=directory)
|
||||
|
||||
# !!exec
|
||||
|
||||
def exec_multiTarget(df):
|
||||
post_targets = [i for i in df.columns if "_post" in i]
|
||||
pre_features = [i for i in df.columns if "_pre" in i]
|
||||
delta_features = [i for i in df.columns if "Delta_" in i]
|
||||
|
||||
features = pre_features + delta_features
|
||||
targets = post_targets
|
||||
directory = os.path.join("..","results", "multiple_targets")
|
||||
|
||||
if not os.path.exists(directory):
|
||||
os.mkdir(directory)
|
||||
else:
|
||||
os.mkdir(directory+"/v1")
|
||||
|
||||
X_train, X_test, X_val, y_train, y_test, y_val = preproc(df=df, targets=targets, features=features)
|
||||
|
||||
xgb_model, rf_model = model_trainig_multipleTarget(X_train, X_test, X_val, y_train, y_test, y_val)
|
||||
post_model_multipleTarget(xgb_model, X_test=X_test, y_test=y_test, targets = targets, modelname = "xgb_multiTargets", savePath=directory)
|
||||
post_model_multipleTarget(rf_model, X_test=X_test, y_test=y_test, targets = targets, modelname ="rf_multiTargets", savePath=directory)
|
||||
|
||||
|
||||
|
||||
print([i for i in main_df.columns])
|
||||
#features = pre_features + delta_features
|
||||
#targets = post_targets
|
||||
|
||||
exec_models(main_df, features=, targets=, multiple=False)
|
||||
|
|
|
|||
Loading…
Reference in a new issue