clusters_results-old.txt

AdrianaMalta_F049:
  train scores=[898.2191350084977, 947.276648567937, 985.7057304621636, 1019.8281352423437, 1051.5945010370626, 1088.1241922737718, 1114.653474321978, 1150.4400297503603, 1176.753076269524]
  val scores=[849.8571351039321, 819.6571322499925, 710.995979263787, 537.6910976329344, 291.7256927913284, -231.51651257754912, -673.1159939056104, -1750.456688283101, -2256.89595022592]
  best k=1
Aislam_M001:
  train scores=[897.8945891823308, 959.6744965635502, 988.9669774166405, 1022.923462284738, 1059.5753792521894, 1094.7805626533516, 1131.2268113947173, 1163.6780387352112, 1186.2142858176742]
  val scores=[850.9914112283093, 850.0597058189003, 737.016611082448, 499.66408506174804, 17.550189214562888, -672.7512482355398, -2041.102472246105, -3366.127550527067, -4502.290836106016]
  best k=1
Alcione_F018:
  train scores=[953.2222043964035, 987.0613269443072, 1013.4314197316708, 1045.6260337123554, 1084.4352599400313, 1118.0927929870209, 1153.5463229939608, 1182.7206934477222, 1208.8351274875338]
  val scores=[917.82593498544, 890.2759552912609, 805.3826353947778, 613.0971280486763, 247.78144300163981, -255.3807373530488, -1176.2222180045705, -2293.655885857549, -3190.5787597351073]
  best k=1
Alessandra_F045:
  train scores=[942.8662048660863, 1006.1181087486048, 1033.7726298483262, 1063.1262107425782, 1091.3726529258618, 1124.3469104961173, 1151.0689730232218, 1182.1451839343567, 1207.221549790196]
  val scores=[903.9469017883833, 871.3214553204959, 809.0522844116175, 387.4236622235502, 26.878184539767858, -541.0877672105114, -1324.604011045521, -2286.81998892022, -2990.830571793837]
  best k=1
Alexandra_F010:
  train scores=[961.544050965044, 1000.0458822937965, 1032.0014264545791, 1061.577475866133, 1089.968285204209, 1123.2031908890972, 1151.2941726244985, 1177.5941097299917, 1202.1676607268416]
  val scores=[924.6158986939884, 821.259010751751, 682.8401545777286, 387.49534257364076, 131.36609201892784, -104.35639790597534, -669.8873060681651, -1397.906431767303, -2515.472706220149]
  best k=1
AnaVarela_F042:
  train scores=[947.0812517603242, 991.5925770133824, 1022.2537038667278, 1057.9045962587675, 1089.8983079690647, 1122.0914764439399, 1150.3074052567185, 1178.4261271944233, 1201.817992100879]
  val scores=[899.0209867600377, 863.2723585863394, 771.7606570562637, 508.7950173364531, 235.13972085934506, -293.6587353428482, -827.616401393555, -1541.0208267305547, -2384.3959269258044]
  best k=1
Andrea_F003:
  train scores=[930.2529409225892, 988.1862859471046, 1013.8605461065235, 1045.3070911549507, 1074.1999456162678, 1105.932208033702, 1133.5386724108514, 1159.9167128788972, 1185.880313708684]
  val scores=[887.5558118874708, 839.4427693946757, 732.8242883207424, 569.248926360287, 335.09873711933824, -150.2957225990355, -692.0644101693447, -1241.4240152627194, -2340.3766569469685]
  best k=1
AndreiaSoares_F032:
  train scores=[1011.8466802811874, 1042.1434227441391, 1069.778105520013, 1094.6806300380063, 1118.176374287243, 1143.977302267412, 1169.430560266696, 1189.7260534464574, 1217.981422382305]
  val scores=[943.4074764159252, 927.1563907388818, 911.8733266666499, 796.0936732644687, 645.7090451065775, 461.3349334281609, 62.163385344499076, -231.29545690841078, -1108.100882117337]
  best k=1
Anesia_F040:
  train scores=[944.7036467271573, 993.6310671752233, 1019.7729795863418, 1046.4311219768447, 1078.255346642012, 1111.9527202697902, 1148.0102382650807, 1171.903900800129, 1197.4460902011638]
  val scores=[907.0309888326677, 737.2135723912218, 628.1901381568896, 472.06221452783166, 132.54110310930307, -507.9607908746161, -1504.4937074071483, -2351.5527949163506, -3280.816137798546]
  best k=1
AnnaPerez_F046:
  train scores=[935.7522943664837, 993.4356714336994, 1024.4410521670864, 1054.8230594109173, 1085.9038657372912, 1120.2306195721235, 1151.6641651114883, 1181.1364680620532, 1206.3243026393407]
  val scores=[890.3539419254105, 619.7490931415689, 554.4914176554695, 315.81922708508506, -40.93164053491264, -448.29421312788526, -1227.937359816215, -2059.10381694768, -3141.7448506420255]
  best k=1
Aurea_F036:
  train scores=[917.552133887287, 968.1099244439243, 1003.6782840794842, 1043.4921980635895, 1080.32858362106, 1114.9432820463126, 1144.296551502907, 1178.053355831942, 1205.0053002420711]
  val scores=[876.2814034419328, 846.81627089228, 732.0177769780365, 525.0617607825541, 63.51063426260957, -720.7007575825522, -1143.9079998171655, -2343.7797936989527, -3942.3432991125787]
  best k=1
Benita_F008:
  train scores=[974.2311066644045, 1002.0686890404152, 1028.8645871035983, 1058.8030949897789, 1083.5645616804052, 1115.8119832060938, 1146.2599757649373, 1174.9393909648077, 1199.1085173500567]
  val scores=[942.6784663415377, 919.4636920478766, 872.6681214358572, 774.9966748322302, 690.361393883322, 267.2254349385794, -238.8618172255908, -1012.7294093986853, -1373.4091485887825]
  best k=1
Carla_F035:
  train scores=[952.6810247723719, 993.9876996204168, 1030.73508473675, 1055.5747026392623, 1084.3814244140458, 1114.9226272819903, 1140.9325362325142, 1177.5766479432564, 1204.4390314032905]
  val scores=[906.9640395037735, 846.1979472065052, 733.3705999306336, 597.712119412969, 307.2177269641294, 5.870232160221081, -395.8945269205002, -1564.8232196523713, -2660.610917644232]
  best k=1
CarolinaMagalhaes_F050:
  train scores=[931.2559435108047, 968.9289640292305, 1010.6211921607443, 1034.560899433628, 1065.1352077336837, 1102.023211681245, 1135.8483468227728, 1168.343645083602, 1193.6962126478315]
  val scores=[888.0018785620265, 835.6381920362822, 647.0358629040327, 528.1226653928145, 193.39906445397267, -360.813391881909, -1291.6292426081495, -1991.3183565955976, -3132.6906964480954]
  best k=1
CeCiliaBulcao_F021:
  train scores=[925.8556368940187, 968.0499862524041, 1005.8954248057064, 1036.5215310617255, 1068.7570482334145, 1103.9352384264912, 1135.7232354819857, 1160.2072740162018, 1193.7264570124112]
  val scores=[888.6332998184895, 858.7560250008621, 768.3347781089632, 578.3611667344389, 86.37426536749743, -631.3120202255571, -1464.182061060795, -2244.608631000162, -4139.087601012322]
  best k=1
ClaudiaMoraes_F023:
  train scores=[965.1840405417552, 1003.6541274816193, 1035.4571386736316, 1062.3558532116542, 1087.5602337940095, 1115.8581665795473, 1148.6468242775231, 1175.7564423746933, 1200.6059660505546]
  val scores=[929.6969985117845, 915.8367121158514, 881.7195251311892, 783.9811021429598, 613.0882562488059, 209.04557292142167, -252.59367802046663, -905.9866498168091, -2162.391216251514]
  best k=1
ConceicaoAbdulatif_F016:
  train scores=[921.11628658939, 979.8529395249252, 1017.9133103261563, 1049.8381532824435, 1086.1717557757136, 1120.6908625622104, 1150.0281411122212, 1176.9842461590615, 1196.5299968793888]
  val scores=[879.970290942984, 824.4405479292593, 725.3154217689392, 431.47073980146814, -11.103664194265686, -773.6431570611277, -1558.4273864101147, -2710.8666848503517, -2906.779234854554]
  best k=1
Cristiane_F007:
  train scores=[967.9196011389644, 1007.3587763317373, 1030.8974780188578, 1052.6014687995676, 1080.8149658504094, 1113.7290031591497, 1142.7253389224825, 1174.8139927844963, 1202.2371624865605]
  val scores=[932.7109866875486, 827.156984039998, 783.7049690610085, 680.0597723424702, 456.3270119204468, 41.547980641345305, -444.5280545200664, -1398.4373047532158, -2635.8254205563526]
  best k=1
Custodia_F033:
  train scores=[952.9876939602597, 985.4180600081166, 1012.1656286770537, 1040.8175379090408, 1073.5314826013032, 1116.4317350860158, 1148.6687820356767, 1181.5464375368065, 1211.7754892358303]
  val scores=[915.2102477892455, 885.7497869621357, 826.4868974756837, 698.9288901620814, 352.75912136249343, -322.9146102174631, -1093.1480466646176, -2058.4429659742746, -3342.288484741549]
  best k=1
DanielRibeiro_M002:
  train scores=[898.6432609531519, 944.1855688557689, 980.0755193147583, 1017.6298858901364, 1053.017829043198, 1088.483182090532, 1121.8317969495074, 1155.6685469590445, 1182.1052736855913]
  val scores=[856.5960248929168, 715.5408301206515, 587.8890976829367, 384.89553191850496, -7.928898732702538, -662.32958079283, -1524.538808634276, -2901.8198796501783, -4025.6951949470413]
  best k=1
DanielRientes_M040:
  train scores=[972.4554253140948, 1007.0423259119437, 1030.7334216142513, 1056.606005626448, 1086.7188542307924, 1123.1779818244017, 1163.2482552376534, 1190.8848301199123, 1214.6851759598405]
  val scores=[936.697503399547, 794.2447747208798, 752.1303472104819, 581.6379259988782, 282.1316116466982, -275.5535802212702, -1026.0135651777393, -1989.3515641170532, -2702.772135024206]
  best k=1
DenizeRamos_F039:
  train scores=[925.1942772199025, 972.4966798432273, 1014.9023083643418, 1047.4066122138634, 1081.7234854547326, 1118.852274803872, 1151.6616939813189, 1177.8329466409198, 1199.121974000111]
  val scores=[885.3816641873049, 654.6711801360109, 218.10091140966557, 162.6567965948028, -107.87819425579, -778.9745009248085, -1404.9287319303635, -2018.839655648766, -2677.7115794855335]
  best k=1
Diego_M026:
  train scores=[950.6487335969193, 997.5201038528163, 1032.8817901205375, 1061.6406975003583, 1092.2475071267563, 1122.2790622012794, 1152.8969340093433, 1177.1405263926072, 1201.0057527616093]
  val scores=[912.8245649139939, 904.5058277355981, 797.4408256261298, 685.3991037212983, 407.3790028572099, 44.07245172898104, -817.6567014770852, -1445.249751366959, -2323.76513529249]
  best k=1
EdsonCabral_M023:
  train scores=[927.3408727157594, 992.02900474057, 1013.916833750996, 1038.1869833039395, 1073.7653366133472, 1102.9462806356773, 1133.1281901677871, 1171.9530743710907, 1197.2269469139435]
  val scores=[876.5437099109138, 287.9416412376781, 199.0771154534339, 31.915515531684076, -327.00432393778993, -842.7199565190238, -1660.3539750750024, -3003.6464962543455, -4406.1886646398]
  best k=1
EduardoDuque_M039:
  train scores=[953.0444328350246, 1007.9147543365273, 1029.0273669130215, 1054.7962766754865, 1081.5963303615924, 1113.2175611550197, 1142.9158052755172, 1174.0743106414845, 1198.3612216232495]
  val scores=[906.6064066879529, 750.3639427255822, 671.8558797115162, 528.2715792854203, 276.5191728362062, -296.5189599884343, -853.0896613035195, -1995.903139566592, -3079.377952614009]
  best k=1
EduardoPereira_M016:
  train scores=[949.7929551100012, 1004.5806183088262, 1029.9211555456309, 1057.9973376730863, 1090.810166806897, 1123.0953873464969, 1154.642393266969, 1180.7453773875754, 1209.9410866997048]
  val scores=[911.5590495104241, 874.7375455780682, 815.5558825346782, 691.055414528192, 314.4861000211921, -279.3711119769725, -943.0963455184786, -1832.2243788412193, -2956.2073442346273]
  best k=1
EduardoTardin_M022:
  train scores=[956.660592014014, 1003.380564549782, 1026.5065510752113, 1050.9498257915216, 1082.5248230245304, 1109.1272606174905, 1135.044099822186, 1167.6458369261377, 1189.7382204654116]
  val scores=[920.2700299620938, 880.9284883191401, 806.7145082323752, 647.7427126219676, 383.96117168200897, -145.17641473846868, -662.5939041441352, -1600.3978677256757, -2523.518268567562]
  best k=1
Elson_M007:
  train scores=[982.8518886301647, 1024.3539087586169, 1042.428679926957, 1061.8598458567637, 1088.2568957647957, 1120.591079979537, 1153.411035395668, 1173.1334127879752, 1205.8589149758827]
  val scores=[949.7037938367463, 821.5902279819396, 771.6861157016322, 629.4499820317159, 400.5090359828665, -119.99772288462191, -1002.9578944123912, -1608.854615401949, -3234.037180470469]
  best k=1
Emigoncalvez_M020:
  train scores=[962.6924474724085, 997.7791191763552, 1025.9237326113512, 1059.727821455705, 1088.4342212223034, 1119.0814692369172, 1152.6860400066842, 1178.7937750036826, 1205.4000306425244]
  val scores=[924.5950759890363, 910.7682129221599, 828.2548357373565, 688.1033018196129, 401.9711660323719, -169.90421785313958, -1091.069881349832, -1974.3307695150004, -2961.204065226218]
  best k=1
FabioCorrea_M032:
  train scores=[969.6736793221733, 1007.3477201491014, 1037.8116058468731, 1060.0570801617046, 1087.8541144198512, 1120.5181668211033, 1152.6243714099332, 1185.3133881917652, 1208.3994256998226]
  val scores=[931.5064581225712, 863.0077892877478, 693.2052663728462, 548.7256476925439, 312.05194388347786, -146.784052318546, -668.8550224376183, -2086.1819092742717, -3004.8025902446943]
  best k=1
FatimaTurano_F020:
  train scores=[960.9972979207226, 992.4728032910525, 1027.3527189672745, 1053.5523956986515, 1079.665358353404, 1108.467758294322, 1141.6668921183432, 1171.524560851901, 1194.6226536731658]
  val scores=[924.9587373830789, 906.2702611003882, 850.0559084402385, 737.8570774665834, 548.360059105318, 164.9568623650863, -334.6128456397843, -1047.8142082470447, -2189.5439336930185]
  best k=1
Flavia_F047:
  train scores=[961.298541448097, 1009.4062051632936, 1032.6831236018302, 1056.3654251551955, 1082.9911631933257, 1114.2127926858464, 1144.550806063819, 1170.941597200785, 1200.3651119693645]
  val scores=[924.572339011794, 900.1284838963614, 810.744182983272, 559.8221500774822, 273.8810385342261, -58.07309270804026, -531.4209233900423, -1260.7953587560116, -2109.9881518978154]
  best k=1
FranciscoChagas_M034:
  train scores=[927.6507854949339, 993.8601593846197, 1021.2684975911054, 1048.7576702439712, 1074.1191088115233, 1104.834381064369, 1138.7919997015606, 1167.7779444017551, 1194.5149870838427]
  val scores=[875.402305034859, 510.9307653831199, 485.341727292123, 307.27016551222374, -19.180681171532612, -514.4623745804872, -1359.6286217529614, -2447.698465202931, -3467.655367044738]
  best k=1
FranciscoEmilio_M044:
  train scores=[1004.9313078903472, 1056.1113415394796, 1078.8842990654275, 1103.1780018731115, 1127.7680283380125, 1152.4787747645228, 1177.3355386978224, 1202.0193250886377, 1226.2244540787415]
  val scores=[973.185058023683, 976.5014666593855, 913.6499157585143, 803.5830591124666, 622.0191209619925, 304.9136202986123, -103.12139963229083, -577.4885039998743, -1310.0840549563122]
  best k=2
Gabriela_F034:
  train scores=[925.6794304747227, 977.1341181650353, 1012.7128039663054, 1047.384142206895, 1078.4303700825583, 1109.3731978719572, 1139.9509226033285, 1169.2581571829492, 1195.965639839355]
  val scores=[883.6638725147972, 878.6100105087835, 773.2471614909451, 637.4663274288796, 437.91437125985976, 122.72605332677315, -607.4919817150067, -1487.852216154406, -2769.451062960888]
  best k=1
Geruza_F006:
  train scores=[912.1936980682073, 971.0842625405818, 1014.0644629899128, 1051.6074736101482, 1083.354862741714, 1117.6028973948173, 1149.0007816473976, 1172.0527311557164, 1201.6921288192802]
  val scores=[864.2610113701543, 751.7222843870429, 470.90791795491384, 321.02023262274605, -14.158920826158266, -416.5674005260047, -1058.7431152875786, -1686.7793182820103, -3052.8736240847015]
  best k=1
Gilberto_M018:
  train scores=[991.7465252864488, 1009.8283751259287, 1030.7285576340475, 1057.9213623274127, 1090.807424814092, 1125.3457064932177, 1156.0474811173874, 1188.4163571731533, 1215.973974326248]
  val scores=[961.3512529771579, 936.5444015950663, 879.5580759911109, 756.4772018543679, 465.3011423582273, 41.43385089844774, -617.157164684136, -1518.5766718380346, -2774.5667221289727]
  best k=1
Helen_F043:
  train scores=[958.4665451040116, 1003.8223454205888, 1027.3635664646956, 1053.4290817109309, 1087.3628688384792, 1120.2992018035334, 1156.351554250235, 1182.406331366724, 1207.0566519894905]
  val scores=[920.4694746315721, 759.969973180205, 724.9718849079917, 598.6103789342004, 232.46036103834172, -363.4336770195706, -1159.3625762585439, -1895.4970693685532, -2513.550562636489]
  best k=1
HenriqueMafra_M046:
  train scores=[993.7072255333171, 1019.403135015869, 1043.5833414245503, 1070.623159401161, 1103.0959168791637, 1135.4654707385282, 1167.276066651379, 1195.6168895583448, 1218.6598935660547]
  val scores=[962.4664391749886, 939.2320868394547, 880.3197998388034, 772.16702866802, 564.4671510138139, 308.75803050079776, -394.0712242208633, -1085.6200061069703, -2083.4391690920006]
  best k=1
Henrique_M030:
  train scores=[900.7049791421177, 954.3615781014456, 996.6813957874969, 1036.9426836067164, 1070.0449032725246, 1105.03495282505, 1138.098020730436, 1166.4313622269397, 1189.5022236885447]
  val scores=[853.5149668956262, 808.4050387556055, 430.8672126643548, -96.1943757579705, -485.47888476487196, -1383.5203133859304, -1881.6228423887237, -3177.9459351853798, -3878.999436453606]
  best k=1
Ieda_F014:
  train scores=[992.3324008430549, 1017.6947961204341, 1042.4472161693718, 1072.9645529368088, 1101.8072668251325, 1129.9882878265798, 1163.2685855257305, 1190.1310756422613, 1216.9473776247432]
  val scores=[958.045130797005, 932.1664688576686, 879.7815304198981, 727.6811322184883, 581.0913906954354, 234.20292271433428, -139.7583057895379, -771.2049256659836, -1575.8520949149604]
  best k=1
IvanMariano_M008:
  train scores=[955.3269009829031, 994.0036340059144, 1031.8989065288167, 1059.7265831231402, 1091.8954228746193, 1127.1768275423037, 1161.6664053980558, 1184.5390942012607, 1214.2706606909815]
  val scores=[915.520467890496, 864.6354623525347, 763.683515026604, 575.5658733674458, 260.37488334180904, -171.07181364801212, -1150.0734851997963, -1461.9298406598894, -2773.21555157758]
  best k=1
IvoneAmitrano_F000:
  train scores=[997.9412594383366, 1021.5953739336567, 1046.2698239044876, 1063.040315603842, 1086.8945798009356, 1119.4262885178991, 1152.5783612283572, 1183.3160581098016, 1209.8983634282488]
  val scores=[962.0856343973297, 938.8715401437743, 890.128685378847, 825.4948692772743, 675.8214698060726, 381.4746358278041, -152.60068359154542, -776.470872217264, -1336.2199259649806]
  best k=1
JacksonBarbosa_M048:
  train scores=[949.8924014464613, 994.8213067072431, 1020.9637754489928, 1051.3378329201119, 1083.8299995942607, 1118.4115543084695, 1147.304134372889, 1176.4740601563774, 1202.750552691112]
  val scores=[913.3981749313522, 905.8570753134954, 776.4177131504915, 569.0863073362048, 128.34271117879197, -505.7439325452434, -1273.4069635980754, -2238.6887860607044, -3317.2880610575426]
  best k=1
Jailson_M003:
  train scores=[933.073859088724, 984.3266160070874, 1017.8213127877025, 1054.3486047772333, 1090.0820577044944, 1123.0529097564943, 1154.812583931255, 1181.753637923752, 1203.6148568613378]
  val scores=[896.312490476648, 874.4576615661774, 812.0550166100865, 433.3185939796161, -45.37529442127908, -418.98597832826897, -1226.6985525545017, -1982.6205598653946, -2980.61235357342]
  best k=1
Jair_M021:
  train scores=[992.4081697353265, 1012.3739643087962, 1034.8402356442505, 1062.853561167991, 1096.5708421903964, 1130.5557428139045, 1163.0745202886217, 1191.3538280823484, 1214.7146804284582]
  val scores=[960.1607387283568, 936.2162018560275, 872.8953063930346, 745.4029654682344, 489.74277086798355, 225.7229003067035, -543.606775488066, -1481.8345159756623, -2118.1887835435314]
  best k=1
JeanCarlos_M019:
  train scores=[953.0893674497675, 980.6041548121469, 1005.3258077376731, 1036.0454678536933, 1072.9375745958043, 1108.638794655855, 1142.7600373117737, 1172.9991662475472, 1199.8682938546356]
  val scores=[917.5052016982065, 893.7397901907641, 827.795112812559, 690.0170381228974, 419.7775026636599, -160.9373654702129, -1128.8776785683692, -2231.98489140642, -3867.2892090137225]
  best k=1
Joel_M017:
  train scores=[1007.6299481388614, 1029.3806683169337, 1051.7725758223064, 1078.6522291291806, 1107.2414328527063, 1137.5294142771186, 1167.0850170174783, 1192.160615254999, 1219.1539167415935]
  val scores=[974.7331948625417, 955.5399346760751, 900.5486242709018, 807.3462966671258, 647.6245513443472, 321.99858491621774, -219.2512670920284, -637.5883248620405, -1606.446647513808]
  best k=1
JonatasPortugal_M031:
  train scores=[903.209619444716, 942.7056050114386, 975.2649553749574, 1003.9628896505901, 1038.7009108316743, 1081.35286962017, 1122.2472605836479, 1156.3252429439535, 1189.995892396987]
  val scores=[862.775711045042, 690.5361876566183, 229.9288889569209, 94.77198511714055, -306.3718650128123, -1053.121363044224, -2426.5917454938344, -3481.2802020858717, -5564.526100357921]
  best k=1
JonatasRibeiro_M041:
  train scores=[910.1627640167002, 950.0022905861209, 986.4486637355188, 1025.7385521999586, 1064.4219733152302, 1101.5364847774267, 1134.9914768382641, 1168.516945617212, 1191.5129316948564]
  val scores=[867.8388746892455, 844.1119377165476, 710.1715846019993, 583.6746928667377, 302.2387442613105, -110.25588179266921, -1069.8181889071889, -2422.5286118577924, -3343.1631031543247]
  best k=1
Jonatas_M009:
  train scores=[936.0795597640821, 978.2472117387354, 1010.5807892605093, 1045.9632795122739, 1077.9729274053545, 1107.2721702121657, 1138.5621827100854, 1167.6264373723495, 1189.8388177813058]
  val scores=[900.043492742461, 886.4002961828877, 801.4376753732938, 520.9792192318165, 216.7137804248564, -4.025747739072993, -705.1492955258148, -1675.1095224006372, -2304.1386042932418]
  best k=1
JorgeHumberto_M042:
  train scores=[948.6354416926672, 985.6821114317703, 1022.2462655308557, 1055.9201037335865, 1084.9433086277684, 1112.9212569173985, 1143.5906990377864, 1175.136059253818, 1198.8248016463012]
  val scores=[909.9759700941388, 885.5461167068936, 812.8253885027905, 576.2986542639801, 344.69039022947896, 80.86301589847973, -428.7591716467174, -1043.1398522819745, -1944.7345616466762]
  best k=1
JoseIldo_M024:
  train scores=[972.4469615746737, 1003.3180870643073, 1034.3726733227413, 1066.4005593656427, 1098.8871582327376, 1132.0008034905761, 1161.5719042655508, 1189.2155440586007, 1210.1719970407053]
  val scores=[939.3323418782875, 910.8470365421945, 840.996865772793, 729.0042091338203, 499.27375267678815, -12.22399276731289, -412.19354679509706, -1184.4559023353947, -1914.897583753406]
  best k=1
Juliana_F028:
  train scores=[968.1189306512312, 1001.5194063453234, 1030.6151079183735, 1062.2871577612734, 1097.250519774081, 1128.52455425464, 1156.825776353456, 1183.196429284791, 1205.987986598778]
  val scores=[867.7059568917781, 838.55604829204, 811.6068071115875, 629.0526563202397, 416.5963576166526, 123.31693177264144, -723.819979731219, -1555.0024611739923, -2279.1022672217905]
  best k=1
JulioFaustino_M005:
  train scores=[949.3375006369315, 997.0158583686534, 1025.8005648749274, 1054.7852353063738, 1084.509651114054, 1115.1999626840698, 1148.2602918844257, 1179.6329170010695, 1201.0386019899277]
  val scores=[909.4190398535748, 859.8578575801175, 738.5101632984359, 540.8006552246727, 223.90115029681425, -232.3812042519424, -1204.9082661164132, -2333.983317421507, -3425.0219879531787]
  best k=1
LeonaRodrigues_F022:
  train scores=[939.8993159435216, 981.8331463346849, 1016.2733380048697, 1054.33497484163, 1086.7205692691127, 1119.7148606046983, 1148.7397170582756, 1177.7456345649687, 1201.3433173350502]
  val scores=[898.712532740594, 888.3697416400286, 804.0361224044741, 707.0388652190392, 395.1270275679259, -61.05670349973457, -974.6223794099196, -1774.270006493758, -2867.9466304807074]
  best k=1
Lila_F017:
  train scores=[942.2035661707687, 997.4095751624657, 1036.31035367205, 1061.3362057960817, 1096.7865974658243, 1126.4841999432826, 1149.3067434055533, 1177.7656463154422, 1196.5622325205354]
  val scores=[894.9355471863717, 661.5745506060002, 79.20407231979355, -146.3923681589967, -255.40688771909723, -646.3637561379912, -1262.16943008803, -1970.5814289203336, -2349.869256815001]
  best k=1
LuanaEsterLuna_F019:
  train scores=[951.7671260525758, 1016.4312704376109, 1044.8300199248902, 1072.8352449979054, 1102.8247084848113, 1132.4016826461793, 1157.5882002713586, 1187.3248315208568, 1211.1345075318159]
  val scores=[911.0099232653416, 923.2838773664371, 865.3213402243025, 775.861272493561, 570.1053726582306, 146.18619321117848, -513.1076530910768, -1160.7654699987024, -1889.6080499208936]
  best k=2
LucasSabino9_M033:
  train scores=[952.3570102225249, 991.7736984323432, 1020.6211122242479, 1052.2900815294743, 1082.6852756008427, 1116.9766743896766, 1147.0782967830348, 1175.2540901899536, 1201.983784631849]
  val scores=[914.4358717758153, 887.3870159995979, 801.3276257345681, 645.6566192876353, 434.7035299615325, -69.57267424786531, -712.5366414797038, -1589.9464726574117, -2552.5352726051647]
  best k=1
LuisGustavo_M049:
  train scores=[934.1108710555797, 978.731075324485, 1005.9482856459697, 1037.9124007784053, 1072.2740550388514, 1111.6973749477959, 1145.1036623972448, 1175.1242107303876, 1203.4420043395628]
  val scores=[899.3800962867421, 884.596492622812, 745.3751791881168, 466.52386290525993, 143.2745231192174, -666.3573398691733, -1722.294532569135, -2728.05458999479, -4202.774268307857]
  best k=1
LuizCarlos_M029:
  train scores=[946.6451184261512, 993.413989080405, 1022.8353492949191, 1052.9003982035451, 1086.0229407098109, 1122.6772716478097, 1152.568794372474, 1180.9308177744788, 1205.2438482342068]
  val scores=[900.4348810539711, 689.6859236149593, 626.8179769418394, 524.7909221389745, 169.2758186818451, -248.80197349634477, -947.7262891653581, -2026.5312132360364, -3169.999315853169]
  best k=1
Madel_F002:
  train scores=[939.5900634286476, 975.4039914384954, 1006.3143887290471, 1042.454570039224, 1078.8929152982125, 1114.804897329577, 1149.1684142400788, 1178.3267266648897, 1200.2857614901368]
  val scores=[892.1275830447084, 870.5940877502326, 780.4787978962993, 581.783261658516, 133.33928047908427, -351.1049058571711, -1137.8944811009314, -2045.0572261716584, -2615.78666461661]
  best k=1
Marcio_M011:
  train scores=[978.2407308464444, 1033.3545930600226, 1055.5858584137247, 1080.593719806321, 1106.8875629394236, 1134.64765339867, 1164.8433519810435, 1192.7359431667246, 1218.479479897082]
  val scores=[939.7809081929838, 726.7269903279459, 675.8546158384165, 570.9114331173407, 384.54744998922376, -77.93702336351448, -581.3850746546403, -1322.6984344207158, -2301.344387267306]
  best k=1
MarcosBittencourt_M006:
  train scores=[1001.4091343659442, 1024.538292413417, 1044.4513860675743, 1068.444581822312, 1097.485535934996, 1130.336150482472, 1161.7862743572437, 1188.947137508461, 1215.3354242494734]
  val scores=[969.5916649621643, 950.1962099617504, 905.7967083045747, 814.0364274078718, 604.2404718709943, 254.73541762472647, -409.2456226368006, -1324.9477946133247, -2260.005538510622]
  best k=1
MarcosImbuzeiro_M036:
  train scores=[999.8846422443088, 1024.0601876013154, 1046.71108140182, 1072.5031576627332, 1094.0159055801423, 1119.3802973289671, 1141.956216722942, 1167.887726214934, 1195.7104566174612]
  val scores=[964.2580820506397, 938.534018804711, 896.6013950862085, 790.2727281989974, 643.1134378870098, 416.43877262586784, 125.955665140631, -258.1949382636151, -1088.0950466130428]
  best k=1
Marcosvictor_M037:
  train scores=[990.644260248668, 1028.85036863393, 1054.9840314930182, 1078.1592234721174, 1099.2364775125031, 1125.5931677828746, 1152.409015682543, 1176.3251279784608, 1200.4143391932191]
  val scores=[954.9541429466542, 944.2641570272997, 898.9985038886801, 852.122826856306, 755.822776925648, 484.6487410346229, 194.1506362560022, -357.41174056518804, -794.6981403393614]
  best k=1
Mariana_F024:
  train scores=[889.0155505982273, 946.5977922009772, 997.160235122434, 1036.59618536972, 1072.35861201957, 1099.5605291865772, 1136.3083084354018, 1167.8535221839725, 1196.8357797137596]
  val scores=[825.6418890011124, 764.6415500828007, 120.90490588111307, -237.63384475423783, -445.46127366349435, -772.5754591411657, -1632.695175325909, -2741.987790310891, -5010.331541548473]
  best k=1
MarioJr._M014:
  train scores=[942.7121724495712, 977.1697850829581, 1005.2348433758364, 1036.8491889958193, 1074.9262835202053, 1111.106598339054, 1141.08523462348, 1178.247894357294, 1202.7607179287863]
  val scores=[902.1438634455853, 883.0979716330903, 794.403720868256, 631.01204671996, 341.8862962837539, -226.18278585339863, -977.3751088436859, -2645.4860624111243, -3862.0473939043804]
  best k=1
Marta_F009:
  train scores=[940.5584573891705, 1024.1439554039978, 1044.7529706005369, 1066.1221894159069, 1095.2515916471252, 1128.3225132537873, 1153.7073188430527, 1187.305672825815, 1209.140229479663]
  val scores=[863.7802306766791, 440.8970160037006, 412.06153828381986, 172.00476989966194, -153.38879585529736, -642.7426447529554, -1258.3938184415747, -2276.0818635895093, -2787.70527159863]
  best k=1
Milena_F044:
  train scores=[926.0272414647701, 970.5835626384971, 1010.7795900638876, 1044.4231557499943, 1075.740828012315, 1103.4582234389904, 1136.8278615831532, 1164.0010083442198, 1185.4909667372374]
  val scores=[885.9309248113547, 836.4492514643819, 650.388651406699, 417.38274423724397, 97.40807166204756, -349.28359445103683, -1267.084135024978, -2064.0354459141918, -2859.38869687117]
  best k=1
MyrzaWanderley_F051:
  train scores=[953.1310727338672, 985.5294427217516, 1019.9389001502608, 1048.8800405600764, 1080.5030239314913, 1115.7276801687804, 1152.5942336001474, 1175.4639768635286, 1205.1958937274562]
  val scores=[914.9435804828403, 882.0727555067153, 810.0697385658939, 691.1766696421671, 476.7379395235245, 48.39459723185323, -618.846342843405, -1330.988649670682, -2682.3133815216215]
  best k=1
NA_F005:
  train scores=[896.2325485079931, 962.6523541794016, 1012.1675178704318, 1059.3900294526463, 1094.9059557266844, 1121.7531253199388, 1151.3215102860147, 1171.7484558753276, 1191.927056149032]
  val scores=[850.1655293997653, 848.8540345664399, 693.7080973492209, 299.4528255799405, -316.96489965088057, -837.7293476598754, -1498.8648449206444, -1956.600910263434, -2708.489962148721]
  best k=1
Narhua_F029:
  train scores=[1005.8181865327144, 1025.998526941542, 1049.5022655851308, 1076.1058246286616, 1106.5109118695889, 1139.0675019219875, 1172.5744772605715, 1201.4563917768369, 1220.6902011306029]
  val scores=[973.4774975819631, 950.790442599412, 887.4970869026822, 751.9853004358458, 540.3564801464739, 66.9760209381487, -514.5655658908838, -1165.6937635136908, -1758.3766584221405]
  best k=1
Nathalia_F037:
  train scores=[1023.5904612618693, 1046.5301007929406, 1068.2691236250434, 1087.50223089902, 1108.9324556008946, 1135.4104546122003, 1158.0931692604183, 1187.5235992751388, 1210.6009001114287]
  val scores=[978.8102994354334, 958.1811729444869, 902.8848395414929, 838.8452294745082, 724.1299876584113, 500.4544143448578, 261.843866539396, -265.55242972883985, -764.4072774534269]
  best k=1
Oswaldo_M012:
  train scores=[970.323233448773, 999.9530859957113, 1026.0324112097505, 1058.8791572742455, 1092.9177939806837, 1127.048314106617, 1158.2457868325714, 1186.5646588796887, 1212.9760987827356]
  val scores=[936.1586603129224, 906.4872496463546, 832.9145169593354, 685.4461211641312, 484.8220985074824, -124.87363949222576, -735.2275124195793, -1761.195653997506, -2801.9976417007374]
  best k=1
Patricia_F001:
  train scores=[950.3189204300846, 1004.9074520003114, 1040.4195142165204, 1073.4208350564031, 1104.0035533086361, 1129.7553545041956, 1157.0129177227066, 1179.3457323111777, 1204.3385518248767]
  val scores=[910.7243101166316, 900.5145807885259, 740.819367294969, 542.845348384822, 223.51789496818114, -57.00704825449027, -432.18323784212055, -911.8585334818174, -1569.4391498100583]
  best k=1
Paula_F026:
  train scores=[965.9357236536823, 1012.000263442486, 1047.762751822023, 1071.5906595402653, 1098.213654196164, 1127.4081421308765, 1153.4314813899314, 1176.7375027192193, 1207.5692434753155]
  val scores=[916.4834973004012, 816.0170124652399, 657.4099225278712, 475.68138872272027, 246.9838133278648, -197.6585641753094, -470.6640238235218, -1105.5840451525387, -2180.31236429145]
  best k=1
Paulinho_M000:
  train scores=[952.769294436981, 1013.2426131094265, 1049.0243099977731, 1074.0483944861942, 1102.4029260584105, 1127.482227599691, 1154.100157174916, 1176.1991787776526, 1203.407608555989]
  val scores=[900.3645719896065, 525.621985779861, 232.47330361957088, 63.28670505625753, -153.34849160165876, -442.97716579313465, -941.8674864180048, -1440.8951517535293, -1915.5516827026477]
  best k=1
PauloCampos_M038:
  train scores=[953.4522008218976, 999.3189741538674, 1026.263286575539, 1056.4055894601095, 1089.9082442193717, 1121.3955460763395, 1151.7614769908605, 1177.7405920912713, 1202.646264871309]
  val scores=[919.0877622517344, 913.7458216500141, 784.752173402798, 569.7120394763556, 118.77039750177023, -450.0229299317436, -1119.3579513258226, -1851.826786251712, -2694.221510162194]
  best k=1
PauloSiqueira_Papus_M015:
  train scores=[927.2283823517082, 969.2957948339852, 1008.6701924906563, 1043.6656378886005, 1077.657745644256, 1106.9421606774831, 1142.3981252255228, 1162.6508993493649, 1193.0024721841644]
  val scores=[890.6711406724826, 861.5548162787975, 759.9721648275142, 366.7041148589455, -68.7626530333087, -516.9214655765097, -1545.5814050776714, -2200.2947562082422, -3080.263064013906]
  best k=1
PedroHenrique_M045:
  train scores=[948.1961394633532, 999.170556411799, 1024.096016109166, 1050.7812385492066, 1086.315370424894, 1118.6983516920534, 1145.5734515374568, 1176.5325495081936, 1201.6558911108646]
  val scores=[910.6840742457616, 689.0217804179472, 613.2415779197624, 398.75555640996873, 139.62094290142798, -341.846227855116, -661.4505399343266, -1562.6019844619584, -2323.666059103015]
  best k=1
Pedro_M028:
  train scores=[943.7552367745654, 1007.2567738845279, 1032.3911192013384, 1057.8424849100747, 1089.2827390876505, 1118.6529162591564, 1150.7326021258477, 1180.1810638730617, 1199.7850256536744]
  val scores=[902.2855848770389, 607.6049338203943, 576.0071065835203, 454.92960887384095, 160.59986738517173, -150.9328159743897, -575.4890430927514, -1659.3562707211718, -2109.134301177357]
  best k=1
PriscilaTerra_F004:
  train scores=[885.8127043874192, 946.1419146260139, 990.8522315614894, 1031.9800940387956, 1062.9681495345126, 1097.237215037377, 1123.9622459738548, 1159.221277512064, 1180.7779234395373]
  val scores=[836.3910983618031, 825.8065144402178, 600.7056448982323, 282.58452936436186, -280.10187088200894, -825.7530836017368, -1228.1151083462078, -2950.8662924109867, -4053.8279623203553]
  best k=1
Rafael_M013:
  train scores=[944.4322484858227, 982.2272015557644, 1011.0340420942763, 1044.068588658741, 1075.8976916598244, 1108.5348469248759, 1140.3406865808415, 1170.7036571110052, 1199.6685648954785]
  val scores=[905.578590028347, 844.956081949929, 758.889317853308, 618.2213100902361, 408.0909335431255, 208.1996485321391, -697.7385669557281, -1648.2856845440215, -2828.554889851623]
  best k=1
Regina_F013:
  train scores=[947.5920797798137, 972.6840985139439, 1000.7717990251874, 1033.548444875059, 1061.9637265038436, 1099.3826855490581, 1124.823057764104, 1156.572291684335, 1189.4786758809064]
  val scores=[908.6368182312128, 877.4131890660317, 831.5318742113808, 767.977209467, 599.2418206272102, 173.4134688208567, -250.14776581289053, -1232.9997643494742, -2590.43178296486]
  best k=1
RenatoPeres_M010:
  train scores=[938.9106286461813, 969.0767851109001, 998.411902878615, 1026.4889315953355, 1061.1670002568462, 1102.7500731340053, 1139.6274014177395, 1174.3412064847992, 1201.5407374488816]
  val scores=[899.6500572299013, 877.809070074239, 806.6371727737393, 677.0345082713706, 320.47805249807436, -434.77518878201937, -1677.459603863784, -2952.1263676060803, -4882.827247784278]
  best k=1
Rodrigo_M043:
  train scores=[979.607789914044, 1004.5818279591971, 1027.3198269748864, 1054.4715433418824, 1082.202802479923, 1110.272626712303, 1140.765361279517, 1168.4019818927445, 1197.7202663530256]
  val scores=[939.744457962645, 921.4289874276552, 859.9719354940662, 736.5147936776692, 532.6085113357906, 101.82738201786599, -497.2001139378447, -1431.474303507631, -2481.2856572318738]
  best k=1
Rogerio_M035:
  train scores=[965.8027990168588, 995.8630030738541, 1021.1604668056783, 1049.6065390357512, 1084.0230791266538, 1117.494949181805, 1152.7108433022697, 1177.114481158454, 1204.3293605801491]
  val scores=[926.5908136646989, 909.7646885104863, 836.4876111722726, 717.2777530936253, 417.18402537439516, -91.52761918475274, -963.3188202859789, -1962.3968525025807, -2774.7510167834653]
  best k=1
Rose_F030:
  train scores=[963.7160799580968, 1011.0924287695728, 1038.6151392159177, 1068.3000078901741, 1102.0487238871685, 1127.6743121744298, 1154.8234757882335, 1183.073549639044, 1207.278242114638]
  val scores=[924.0491763803095, 898.7098383361802, 842.3977365265858, 683.8726165115003, 265.50044331925045, -58.56122027012132, -472.71898371935765, -1382.2851263499274, -1806.2287817416145]
  best k=1
Roseoliveira_F048:
  train scores=[975.8990576001137, 1000.1670752046988, 1025.5996882646211, 1052.8049969484186, 1084.9315065009134, 1121.6505002097967, 1155.5362637560945, 1187.9087532610972, 1212.1047032783285]
  val scores=[940.5367947799426, 919.0040469387006, 862.6863603795404, 798.3187153254831, 619.9220152138488, 190.40828589802268, -377.86302755743384, -1635.4433369402918, -2627.374354401834]
  best k=1
SHEILA_F031:
  train scores=[936.3815044736132, 981.850942169713, 1018.9085230013841, 1052.8746613950248, 1086.7233488389775, 1118.7666617503614, 1146.4086354399756, 1174.701870293043, 1204.564817188654]
  val scores=[895.229783786582, 878.9331898266197, 767.5347455332544, 608.6743134495193, 242.35014933434732, 45.23899724650255, -540.1909987807217, -1518.0573892975387, -2764.4340749739304]
  best k=1
SallesAbi-Abib_M047:
  train scores=[942.1675046040615, 991.3994198215084, 1028.460821969059, 1059.2582945352929, 1092.0710995455888, 1125.0261952022238, 1158.3250479958504, 1186.6220537477802, 1211.1091888858236]
  val scores=[904.9930251315066, 786.2920293263426, 662.4125692895548, 423.48441409487543, -48.34871188528474, -870.4893415082903, -1685.0288674602875, -2446.3562619702857, -3260.4202636348004]
  best k=1
SandraCipriano_F015:
  train scores=[964.4795110820003, 996.097254091753, 1025.2988213600443, 1051.9351438988733, 1084.9043404250538, 1119.203004422131, 1154.9241142062415, 1184.5391528471612, 1213.334396790347]
  val scores=[921.0085953305482, 854.7690611676393, 582.3878251823241, 393.58073204779964, 103.28393514346583, -205.1445727061204, -751.6103290906992, -1486.0775120048315, -2495.922849072446]
  best k=1
SandraRocha_F011:
  train scores=[955.6242364145471, 1002.9215787053242, 1041.2201876368858, 1071.8264129552704, 1104.096605281765, 1133.596860805257, 1164.0571573665702, 1190.7665259445507, 1214.0284371976718]
  val scores=[919.9904196450007, 909.8223346741928, 810.3367416433625, 520.3478540067382, 65.84495092465619, -581.2312464324671, -1314.3471118146913, -2051.0523200759535, -3056.0781203840706]
  best k=1
SilvanaFerreira_F012:
  train scores=[968.1378943147016, 995.1960291952104, 1017.6312380163259, 1047.3939376171622, 1081.9791691186379, 1115.6642545026768, 1150.181053303928, 1182.0342588323733, 1207.636239639082]
  val scores=[933.6983504270238, 906.4078712132452, 845.4830626299557, 706.9588635093794, 499.0265277550616, 105.46916297431468, -767.7102038802991, -1774.2541190660625, -3072.8629302163126]
  best k=1
TatianaRuback_F038:
  train scores=[968.4777879648915, 1007.2997190155123, 1033.88682344636, 1059.717534785124, 1089.8479337866106, 1121.4924728731216, 1153.8450171090442, 1181.0047613108627, 1210.6679898474695]
  val scores=[929.8902250058384, 872.4929830888781, 786.593127936507, 667.1720135901313, 378.20148278922034, 72.57208089947771, -781.3868556775898, -1563.193911917383, -3001.160739717212]
  best k=1
TerezaSpedo_F041:
  train scores=[954.1829215816919, 989.0508078444318, 1019.2722595412333, 1054.5111290577618, 1095.3547710788737, 1132.8335619803315, 1166.022878717988, 1194.1690742404082, 1220.65902381335]
  val scores=[909.2930593212661, 872.3872435253782, 796.3598838381099, 555.2644811592963, 112.08254337418794, -470.8217398923333, -1229.8328699055169, -1928.9962563925978, -2739.8702703058198]
  best k=1
Tulio_M027:
  train scores=[955.069499792927, 1007.2860230152424, 1035.994499487721, 1065.3411724545185, 1092.6110455483197, 1119.825677570055, 1145.519108463412, 1172.5225770963568, 1201.1061182659328]
  val scores=[899.3009221892225, 902.4019678482264, 830.4448179140796, 676.7093241493255, 504.78134633473275, 168.86916604143562, -453.37568166032014, -1224.1401087440213, -2517.2745583602527]
  best k=2
Walace_M004:
  train scores=[938.4978788100918, 971.9730162966767, 1000.8073135871707, 1036.647021456988, 1070.106047935085, 1112.1665797495416, 1144.2695858570692, 1173.464457804318, 1198.4416786627366]
  val scores=[901.5367131824953, 876.5646057996901, 788.3062333509667, 667.8866461216863, 259.85391381864764, -553.7287873313654, -1590.5116550711316, -2636.354060912969, -3748.796178058206]
  best k=1
camillaWagner_F025:
  train scores=[924.8118526003484, 970.7429124049962, 1009.0269762195873, 1047.1775726221151, 1082.270664243075, 1114.6587775722892, 1147.2798224812436, 1175.167175072213, 1201.8511914231249]
  val scores=[884.5664806700794, 865.1615774157099, 720.9811679627775, 382.1267589983317, 34.59072019627628, -526.7876872391645, -1325.6216252413526, -2013.27125006101, -3070.449144807854]
  best k=1
jorge_M025:
  train scores=[950.1179003013642, 981.7636890795764, 1012.8978718663236, 1045.9999450956605, 1081.2867202749744, 1115.0497341741727, 1148.054053238911, 1176.5168978714503, 1201.0498303621878]
  val scores=[913.5628292676372, 890.8388814248983, 781.9075822103495, 649.5283483499302, 444.4121947063692, 44.72701131567108, -343.6085685020704, -1411.7108052729056, -2766.0034951457915]
  best k=1
AdrianaMalta_F049:
  train scores=898.72 947.37 985.71 1019.01 1057.34
  val scores=846.79 819.46 724.02 519.66 186.09
best k=1
Aislam_M001:
  train scores=897.98 959.59 990.19 1023.57 1058.36
  val scores=850.91 851.84 730.59 503.50 51.81
best k=2
Alcione_F018:
  train scores=953.61 986.42 1013.44 1046.07 1083.01
  val scores=915.81 894.37 805.78 621.10 158.62
best k=1
Alessandra_F045:
  train scores=943.24 1006.03 1033.45 1062.74 1093.81
  val scores=901.37 875.74 806.50 571.47 -19.14
best k=1
Alexandra_F010:
  train scores=961.15 999.40 1033.24 1061.65 1090.38
  val scores=926.52 848.23 660.46 423.31 159.26
best k=1