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diff --git a/data/probabilities/clinical_proteomic.csv b/data/probabilities/clinical_proteomic.csv
index 408b9d1..5a06f9d 100644
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+++ b/data/probabilities/clinical_proteomic.csv
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diff --git a/data/probabilities/clinical_proteomic_test.csv b/data/probabilities/clinical_proteomic_test.csv
index 394cafa..f3d289a 100644
--- a/data/probabilities/clinical_proteomic_test.csv
+++ b/data/probabilities/clinical_proteomic_test.csv
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diff --git a/data/probabilities/clinical_rna.csv b/data/probabilities/clinical_rna.csv
index 7d6030c..59b7daa 100644
--- a/data/probabilities/clinical_rna.csv
+++ b/data/probabilities/clinical_rna.csv
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diff --git a/data/probabilities/clinical_rna_test.csv b/data/probabilities/clinical_rna_test.csv
index 9ccffa7..91fb696 100644
--- a/data/probabilities/clinical_rna_test.csv
+++ b/data/probabilities/clinical_rna_test.csv
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diff --git a/data/probabilities/rna_proteomic.csv b/data/probabilities/rna_proteomic.csv
index 04bea90..cb22cc6 100644
--- a/data/probabilities/rna_proteomic.csv
+++ b/data/probabilities/rna_proteomic.csv
@@ -1,81 +1,81 @@
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diff --git a/data/probabilities/rna_proteomic_test.csv b/data/probabilities/rna_proteomic_test.csv
index 9661286..826a172 100644
--- a/data/probabilities/rna_proteomic_test.csv
+++ b/data/probabilities/rna_proteomic_test.csv
@@ -1,81 +1,81 @@
-RNA,Testing_1,Testing_2,Testing_3,Testing_4,Testing_5,Testing_6,Testing_7,Testing_8,Testing_9,Testing_10,Testing_11,Testing_12,Testing_13,Testing_14,Testing_15,Testing_16,Testing_17,Testing_18,Testing_19,Testing_20,Testing_21,Testing_22,Testing_23,Testing_24,Testing_25,Testing_26,Testing_27,Testing_28,Testing_29,Testing_30,Testing_31,Testing_32,Testing_33,Testing_34,Testing_35,Testing_36,Testing_37,Testing_38,Testing_39,Testing_40,Testing_41,Testing_42,Testing_43,Testing_44,Testing_45,Testing_46,Testing_47,Testing_48,Testing_49,Testing_50,Testing_51,Testing_52,Testing_53,Testing_54,Testing_55,Testing_56,Testing_57,Testing_58,Testing_59,Testing_60,Testing_61,Testing_62,Testing_63,Testing_64,Testing_65,Testing_66,Testing_67,Testing_68,Testing_69,Testing_70,Testing_71,Testing_72,Testing_73,Testing_74,Testing_75,Testing_76,Testing_77,Testing_78,Testing_79,Testing_80
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-Testing_2,1.863066785290357e-07,0.9987226128578186,9.92338900687173e-05,0.00011593382805585861,8.44491023599403e-06,1.1777594863815466e-06,0.0001684125018073246,2.5307462792056867e-08,0.5768004059791565,0.0005268196691758931,0.10604261606931686,1.3371545719564892e-05,0.0012074203696101904,0.014594328589737415,4.904739398625679e-06,6.408349122466461e-07,3.8360439269524704e-09,0.2918568551540375,5.00635383843262e-12,8.899212116375566e-05,0.0008420567610301077,7.967344117787434e-07,0.05328003317117691,0.08161778002977371,0.00019094512390438467,0.035195644944906235,2.0141244228000232e-10,0.9906806349754333,4.626155014619826e-09,1.6606605640845373e-05,0.0025704375002533197,0.9972892999649048,0.5465559363365173,2.3953046479618934e-07,2.6842007783134392e-11,0.00010182656114920974,1.028500082611572e-05,0.011976334266364574,8.178933967428748e-06,0.028857775032520294,1.5339048331952654e-05,0.3581537902355194,2.583798845989804e-07,0.013990280218422413,0.021648423746228218,0.03985191881656647,0.00019633310148492455,8.03763687144965e-05,9.785302523823702e-08,0.1264929175376892,4.481398718780838e-06,7.595363422296941e-05,6.826827103623145e-08,0.0027711251750588417,6.602186353177331e-09,1.088520562575468e-08,3.700720480992459e-05,0.8542251586914062,0.9937220215797424,6.029173528077081e-05,0.9822633862495422,9.059741387318354e-06,0.12180300801992416,0.032425250858068466,0.11456619203090668,0.0003944706986658275,0.0015540592139586806,0.015400600619614124,0.000640538870356977,0.0009446690673939884,0.9751600027084351,0.0036129376385360956,1.429313272183208e-07,0.0008219346636906266,0.9288663864135742,0.00011188681673957035,0.0017157576512545347,0.0006070432136766613,0.47408318519592285,2.3339616778963665e-14
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-Testing_6,0.7582346796989441,2.6607543945900147e-10,0.2997194826602936,0.33315110206604004,0.8937764763832092,0.9865995645523071,0.004667920060455799,0.3433060646057129,0.001625352306291461,0.23586606979370117,0.01181081123650074,0.4729703664779663,0.12376383692026138,0.0002376955671934411,0.7741965651512146,0.4366312325000763,0.5175505876541138,0.052724581211805344,0.00013715543900616467,1.3897569206555715e-10,0.5914683938026428,0.5417675971984863,2.2200714877573802e-10,2.658338653371839e-11,7.012081186985597e-05,2.727021524151496e-07,0.056137461215257645,0.024630466476082802,0.6128959655761719,0.00037115925806574523,0.4493037164211273,3.795827541175356e-11,3.687924618134275e-05,0.9282698035240173,0.8916488289833069,0.5707712769508362,0.8554866909980774,0.020461782813072205,0.6527811884880066,0.0859118178486824,0.8124391436576843,2.303563936822961e-11,0.7995888590812683,0.00124397745821625,0.516228199005127,0.500484824180603,0.001319515286013484,0.3365471363067627,0.6836775541305542,0.0009706499404273927,0.0017141788266599178,4.5751889956591185e-06,0.7197210788726807,0.03275804966688156,0.728978157043457,0.04144761338829994,8.738008909858763e-05,2.496811248420272e-05,3.3752993999769387e-07,0.013510485179722309,0.6921021938323975,0.04995366930961609,0.149698406457901,0.06533420085906982,2.0375902354263786e-10,0.0940115749835968,0.003657293040305376,0.056737206876277924,0.054018158465623856,0.0013816198334097862,4.525755059603398e-08,0.01683196797966957,0.6156868934631348,0.001925269840285182,7.757602560332089e-08,0.5222868323326111,0.19253438711166382,0.0009515786659903824,0.029773499816656113,0.30109816789627075
-Testing_7,8.808789253578198e-09,7.804052984283771e-06,0.0003668940917123109,3.296613613201771e-07,2.1102025016261905e-08,3.872602682974957e-09,0.987562894821167,5.829859511807811e-11,0.13531959056854248,0.0005783609813079238,1.2532807431853143e-06,0.9148797988891602,0.01841108128428459,0.9042930006980896,7.647911637320703e-09,1.7833791332577675e-08,5.84004551532416e-14,0.039674822241067886,8.478500362633802e-18,2.028581002377905e-05,2.324359549277233e-08,9.03909779026435e-07,0.01617080345749855,1.2703538914138335e-06,0.9420034885406494,0.000302752509014681,1.5049981118113454e-13,0.004013818223029375,7.676470570316951e-12,5.632949218181693e-09,0.9381498694419861,0.0010262413416057825,0.49797311425209045,1.2515639566390568e-11,3.39743476407417e-11,2.490100428076403e-07,6.602765445506975e-09,0.7841708660125732,3.933570496883476e-06,0.8929069638252258,6.128966134610891e-08,0.15327687561511993,6.845906480590358e-11,0.0002211243991041556,0.0020603390876203775,0.00010555209155427292,0.002160789677873254,0.274689257144928,1.645448013953832e-11,0.00037033611442893744,0.9371728301048279,0.004703255835920572,2.324950128251846e-11,0.8591121435165405,1.8688546803841133e-12,2.5268930404462623e-15,0.013896777294576168,0.018650716170668602,0.014635407365858555,0.9059931635856628,0.0002064943255390972,6.780486216939607e-08,0.9777100086212158,0.013562653213739395,0.0008464035927318037,0.46148988604545593,0.4763795733451843,0.9152980446815491,0.05542231351137161,0.028176994994282722,0.02083590254187584,8.649098504065478e-08,3.49450857139999e-10,0.5899455547332764,0.0028373149689286947,3.7016775422671344e-08,0.9692832827568054,0.0033624235074967146,0.63820880651474,1.175946406223316e-11
-Testing_8,0.5653164982795715,5.957886267671242e-11,0.2317221313714981,0.18475663661956787,0.6869260668754578,0.8163498640060425,0.00019732645887415856,0.5261321067810059,0.0018071893136948347,0.09072252362966537,0.06269810348749161,0.24551451206207275,0.6269019842147827,0.00018009374616667628,0.32118818163871765,0.06200123950839043,0.9541043043136597,0.0069749499671161175,0.676047682762146,1.7029509746802063e-10,0.6706969141960144,0.3939759433269501,8.350665992029604e-11,1.2393190640391794e-10,4.771396561409347e-06,1.0896599178522592e-06,0.5534566640853882,0.00024139591550920159,0.5096932649612427,0.034527190029621124,0.1584521383047104,5.130239982831242e-12,1.7548788946442073e-06,0.6712140440940857,0.9315929412841797,0.18582943081855774,0.6461399793624878,0.0012244718382135034,0.7401396632194519,0.003812219016253948,0.6020212769508362,2.2319787077590414e-12,0.8313605189323425,0.009717663750052452,0.11140365898609161,0.036711178719997406,0.0014817195478826761,0.12220820784568787,0.6694998145103455,0.004429118242114782,0.00011905094288522378,5.265257277642377e-05,0.7796967029571533,0.0010153285693377256,0.7316821217536926,0.7722389698028564,0.00016512400179635733,4.2547358134470414e-06,5.5051419423080006e-08,0.0010072317672893405,0.14146079123020172,0.07770711183547974,0.019782397896051407,0.6209096312522888,1.165676860592768e-10,0.40770670771598816,0.00014831726730335504,0.002943426836282015,0.005864871200174093,0.0032230159267783165,2.3226345291504913e-09,0.610923707485199,0.07366865873336792,0.0009343743440695107,1.0063196498322213e-08,0.41332510113716125,0.04762699455022812,0.006673724856227636,0.0014662244357168674,0.6803051829338074
-Testing_9,3.1627098943248777e-13,0.002049034461379051,3.6332443720255014e-09,3.394121872446476e-09,1.5311941168119625e-12,7.074459941469602e-12,0.019386881962418556,3.973405297548558e-15,0.9956433773040771,5.496359563039732e-07,5.684667598870874e-07,0.007442953065037727,0.27196004986763,0.9544212818145752,3.41541096619824e-12,2.3685955974350748e-11,1.5503664903091126e-16,5.099046575196553e-06,6.415905454180909e-22,0.7535853385925293,2.4382551099683125e-12,2.0194509259274795e-11,0.6536458134651184,0.009702789597213268,0.89528888463974,0.03900732845067978,1.7876211798412057e-17,8.169143939085188e-07,2.4100273753179945e-16,1.260401921721055e-10,0.0003267060383222997,0.00010390076204203069,0.9903095364570618,2.198646174045066e-15,2.807639993231332e-16,2.1373616210240698e-09,8.369472649649712e-13,0.9804377555847168,6.103427541148676e-09,0.000345035718055442,5.428595507145362e-12,0.6774634122848511,1.2195821609550794e-13,0.7852625250816345,3.531684797053458e-06,5.76735828872188e-07,3.8019912608433515e-05,0.06074043735861778,2.2685697179287978e-14,0.4534215033054352,0.7007702589035034,0.006655793637037277,6.118759758442409e-15,0.00627446174621582,2.3376538098101533e-15,1.6017455588112644e-19,0.6444607377052307,0.9366583228111267,0.40733757615089417,0.002704052487388253,1.9472219719318673e-05,4.511209461544041e-11,0.17498670518398285,0.2876761555671692,0.21278081834316254,0.8775470852851868,0.9752935171127319,0.5964215397834778,6.633841258008033e-05,0.08633212745189667,0.8243050575256348,6.495022830677044e-08,4.090392575432228e-13,2.8187101634102874e-05,0.23021061718463898,2.0803695138099654e-12,0.9868980646133423,0.6998500823974609,0.9820330739021301,6.967443215568884e-18
-Testing_10,0.8463973999023438,6.28825225397478e-13,0.007531681563705206,0.9697625637054443,0.6240822672843933,0.993700385093689,8.718880053493194e-06,0.889604926109314,4.104965410078876e-05,0.8978711366653442,0.0003303312405478209,0.1307031363248825,0.03468693420290947,3.337030193506507e-06,0.9515767693519592,0.893547534942627,0.9955292344093323,3.645989636424929e-05,0.004719994962215424,3.646486931851989e-11,0.045883797109127045,0.6560839414596558,5.4265182625190533e-11,6.513230709978557e-13,5.3368177759693936e-05,1.7783885475353145e-09,0.8092628717422485,2.275114820804447e-05,0.9388197660446167,0.053631700575351715,0.031080622225999832,5.469258197916306e-14,1.0308367848210764e-07,0.5461575388908386,0.9821683764457703,0.7988940477371216,0.2143511027097702,8.213466935558245e-05,0.33565452694892883,0.00020093060447834432,0.8530762791633606,4.383893855569587e-12,0.6471009850502014,3.329614264657721e-05,0.8311533331871033,0.9032307863235474,0.1784556359052658,0.0006367729511111975,0.8777493238449097,6.947021574887913e-06,0.0009827956091612577,1.0372481256126775e-06,0.9759323596954346,0.513225793838501,0.9506163001060486,0.07682624459266663,1.696890831226483e-05,6.705659671979447e-08,6.697996046689525e-10,0.003638174384832382,0.03304441273212433,0.9329598546028137,0.00031267423764802516,0.013256187550723553,1.832631789377981e-11,0.21383465826511383,5.8695000916486606e-05,0.00013065662642475218,0.7288200855255127,3.702543153849547e-06,1.6757148446622239e-10,0.8248553276062012,0.9816847443580627,3.891396409017034e-05,9.813680423853555e-11,0.15939123928546906,0.04541487619280815,5.3340147132985294e-05,6.979272438911721e-05,0.9595770239830017
-Testing_11,2.9871345759602264e-05,0.32101836800575256,0.005925252567976713,0.356068879365921,0.00300977542065084,0.0006017126142978668,0.054723989218473434,3.947531240555691e-06,0.9861667156219482,0.2867586314678192,0.9815555214881897,0.006748248357325792,0.17389655113220215,0.753616452217102,0.0005401039961725473,0.0002039815008174628,2.0959511459750502e-07,0.7672246098518372,3.439071527555626e-10,6.737795047229156e-05,0.1576174795627594,8.718932076590136e-05,0.00719298142939806,0.0004259000124875456,0.00547038996592164,0.27956873178482056,1.2380898795072426e-07,0.9616272449493408,3.7426952985697426e-06,0.11546138674020767,0.08683574199676514,0.08525649458169937,0.9849211573600769,4.1351562686031684e-05,3.8733958263037493e-07,0.01664210483431816,0.001028085476718843,0.42386505007743835,0.004657410550862551,0.5599724650382996,0.0016538373893126845,0.0015495989937335253,0.0001088420904125087,0.506320059299469,0.5732690095901489,0.8874602317810059,0.21855992078781128,0.010339480824768543,1.769762639014516e-05,0.9650248885154724,0.0016899004112929106,1.029106442729244e-05,0.0005234061391092837,0.4619213342666626,1.4471495433099335e-06,4.856713431422577e-08,0.043074317276477814,0.9782955050468445,0.9907864928245544,0.01928121969103813,0.9932076334953308,0.0319291390478611,0.9307529330253601,0.35399195551872253,0.007200663909316063,0.015222293324768543,0.8024824261665344,0.8837463855743408,0.24858292937278748,0.11355219781398773,0.9605297446250916,0.5764766335487366,2.793166640913114e-05,0.02030159719288349,0.941655695438385,0.016539761796593666,0.6080049872398376,0.14928038418293,0.9814435243606567,1.0553513618560828e-10
-Testing_12,7.320728059312387e-07,6.234221018530661e-06,0.0005075042136013508,0.0005279844626784325,6.48334491870628e-07,1.1725330750778085e-07,0.47947463393211365,2.1029439301045727e-10,0.36514800786972046,0.06660696119070053,0.0017995635280385613,0.9751732349395752,0.26428717374801636,0.3134910464286804,6.530449923047854e-07,2.373738198002684e-06,6.12207290071054e-12,0.001195236574858427,2.6931670638301596e-17,3.0463311304629315e-06,3.556801573267876e-07,1.251073717867257e-05,8.069669274846092e-05,5.2041169595895553e-08,0.004305798560380936,0.0001992327015614137,1.6796297425819562e-12,0.00018580698815640062,1.8343812580035035e-10,9.1123465608689e-06,0.39857399463653564,3.3132598673546454e-06,0.7988665103912354,2.075112581767513e-10,5.81300785285066e-10,4.39408868260216e-05,7.58407168177655e-08,0.9872919321060181,0.00046244796249084175,0.46812233328819275,1.7682614270597696e-06,8.310148587042931e-06,5.929561730511068e-09,0.21457955241203308,0.029986243695020676,0.008068537339568138,0.14087724685668945,0.8495960235595703,6.323912504768714e-10,0.07748982310295105,0.3816565275192261,2.40742174355546e-05,3.7352081427854955e-09,0.7909148931503296,8.101712356545221e-11,2.5853234483785847e-14,0.24545301496982574,0.05502188205718994,0.004224021453410387,0.8185563683509827,0.20529864728450775,1.6460302504128776e-05,0.47816792130470276,0.06345184892416,6.147893873276189e-05,0.9666279554367065,0.9277719855308533,0.6739601492881775,0.44559162855148315,0.003384839743375778,0.0045669786632061005,0.005357527639716864,1.1200426364155192e-08,0.0030537506099790335,0.0008412940660491586,2.282078384041597e-07,0.9973993301391602,0.011865039356052876,0.9936482310295105,1.7789388668740247e-12
-Testing_13,0.5653164982795715,5.957886267671242e-11,0.2317221313714981,0.18475663661956787,0.6869260668754578,0.8163498640060425,0.00019732645887415856,0.5261321067810059,0.0018071893136948347,0.09072252362966537,0.06269810348749161,0.24551451206207275,0.6269019842147827,0.00018009374616667628,0.32118818163871765,0.06200123950839043,0.9541043043136597,0.0069749499671161175,0.676047682762146,1.7029509746802063e-10,0.6706969141960144,0.3939759433269501,8.350665992029604e-11,1.2393190640391794e-10,4.771396561409347e-06,1.0896599178522592e-06,0.5534566640853882,0.00024139591550920159,0.5096932649612427,0.034527190029621124,0.1584521383047104,5.130239982831242e-12,1.7548788946442073e-06,0.6712140440940857,0.9315929412841797,0.18582943081855774,0.6461399793624878,0.0012244718382135034,0.7401396632194519,0.003812219016253948,0.6020212769508362,2.2319787077590414e-12,0.8313605189323425,0.009717663750052452,0.11140365898609161,0.036711178719997406,0.0014817195478826761,0.12220820784568787,0.6694998145103455,0.004429118242114782,0.00011905094288522378,5.265257277642377e-05,0.7796967029571533,0.0010153285693377256,0.7316821217536926,0.7722389698028564,0.00016512400179635733,4.2547358134470414e-06,5.5051419423080006e-08,0.0010072317672893405,0.14146079123020172,0.07770711183547974,0.019782397896051407,0.6209096312522888,1.165676860592768e-10,0.40770670771598816,0.00014831726730335504,0.002943426836282015,0.005864871200174093,0.0032230159267783165,2.3226345291504913e-09,0.610923707485199,0.07366865873336792,0.0009343743440695107,1.0063196498322213e-08,0.41332510113716125,0.04762699455022812,0.006673724856227636,0.0014662244357168674,0.6803051829338074
-Testing_14,1.0017780596172088e-06,0.7795534729957581,0.005581838544458151,0.0006312537007033825,8.398817044508178e-06,5.639817118208157e-06,0.525367259979248,1.8800202283841827e-08,0.9969764947891235,0.2646406590938568,0.6387203335762024,0.013822443783283234,0.8310896158218384,0.996853768825531,1.878025614132639e-05,3.147629468003288e-05,6.245851058572782e-10,0.7138886451721191,5.2084377799186884e-15,0.01428202074021101,0.00011187390919076279,7.359421579167247e-05,0.9686688184738159,0.2254946380853653,0.5814833045005798,0.8949382305145264,3.214553623287486e-11,0.5762500762939453,1.201382215931801e-09,0.0001473339507356286,0.6347548961639404,0.8459466099739075,0.988895058631897,4.44647199060455e-08,1.4780093815502937e-10,0.0026069977320730686,2.0806131942663342e-05,0.9642295241355896,0.0028217914514243603,0.8128136396408081,3.078551890212111e-05,0.8987997770309448,3.131230528197193e-07,0.8925298452377319,0.45809823274612427,0.24827204644680023,0.000640367332380265,0.16386084258556366,9.931591193890199e-08,0.9847077131271362,0.16121616959571838,0.12517525255680084,3.632401046615996e-08,0.21195514500141144,1.0179253884246009e-08,4.557015789025121e-12,0.5994504690170288,0.9964575171470642,0.9970768690109253,0.3253070116043091,0.9075832962989807,3.565720180631615e-05,0.9940299987792969,0.9603413939476013,0.9239403605461121,0.5896178483963013,0.9828553795814514,0.982848584651947,0.11199145764112473,0.8851912021636963,0.9975938200950623,0.0010438746539875865,2.609854163893033e-07,0.5612100958824158,0.9845784902572632,4.5673525164602324e-05,0.7885169982910156,0.9353174567222595,0.9914805889129639,1.6244658070964368e-13
-Testing_15,0.6641494035720825,1.8915776930916728e-11,0.11908412724733353,0.48895204067230225,0.7144880294799805,0.8595223426818848,0.0001567822037031874,0.5909488201141357,0.000330013339407742,0.22406980395317078,0.04145107418298721,0.3109043836593628,0.6059566140174866,6.720660894643515e-05,0.570467472076416,0.13193479180335999,0.9875483512878418,0.0010762653546407819,0.6055564880371094,8.131032652736181e-11,0.6194356083869934,0.5111351609230042,2.5798595898463006e-11,2.4310862350995777e-11,3.5724840472539654e-06,1.862144927144982e-07,0.5889812707901001,8.769152918830514e-05,0.6284157633781433,0.04908603057265282,0.15795721113681793,1.289303624800453e-12,9.456996963308484e-07,0.6765797734260559,0.9032971262931824,0.3403710126876831,0.5995630621910095,0.0007399973692372441,0.7293288707733154,0.0025040979962795973,0.6678314805030823,6.101017043999568e-13,0.7737600803375244,0.0023839569184929132,0.2631717920303345,0.12261015176773071,0.005941063165664673,0.034127142280340195,0.6853318214416504,0.0009967482183128595,5.8959281886927783e-05,1.0021937669080216e-05,0.8198606967926025,0.01098609808832407,0.7522395253181458,0.7232453227043152,8.937797247199342e-05,1.2635381381187472e-06,1.933610960236365e-08,0.0010800070594996214,0.0856560468673706,0.27034303545951843,0.012943804264068604,0.36616694927215576,3.601234935257658e-11,0.45004594326019287,8.317784522660077e-05,0.002070736140012741,0.03042019158601761,0.000626249355264008,8.157958752974537e-10,0.7730134129524231,0.2518932521343231,0.000618605175986886,3.477216958813756e-09,0.4678865075111389,0.05874832347035408,0.001303470809943974,0.001306053251028061,0.8500574827194214
-Testing_16,0.9542269110679626,2.47416965387659e-11,0.1476764976978302,0.9902308583259583,0.8276601433753967,0.983301043510437,0.0013577071949839592,0.19133765995502472,0.0001803979539545253,0.9891586899757385,0.0034226698335260153,0.7550508379936218,0.02999214455485344,7.282057777047157e-05,0.9829843044281006,0.9582279324531555,0.0001784192572813481,0.004989740438759327,2.992680991908969e-09,2.718475444751789e-10,0.5107327103614807,0.8372427225112915,1.3606616944272787e-09,8.179622777715334e-12,0.00041933637112379074,3.16449195736368e-08,0.00021761661628261209,0.001613910892046988,0.01718861050903797,0.006991817150264978,0.7925371527671814,1.8730237846820152e-11,7.117042969184695e-06,0.0036091599613428116,0.5850100517272949,0.9406102895736694,0.3604276478290558,0.0035253025125712156,0.35137939453125,0.06254667043685913,0.970039963722229,4.720977497818524e-10,0.06641259044408798,0.00015851252828724682,0.9870398640632629,0.9912251830101013,0.42212098836898804,0.014454107731580734,0.04042092338204384,4.4590495235752314e-05,0.013749833218753338,3.2579723665548954e-06,0.05166598781943321,0.9837977290153503,0.008803840726613998,1.3810484915666166e-06,0.0002648287918418646,7.741956324025523e-06,2.6466556946047604e-08,0.29748043417930603,0.4650239944458008,0.9702584147453308,0.03882639482617378,0.008348550647497177,1.1566060331702488e-09,0.3228814899921417,0.0016102922381833196,0.02021060883998871,0.9745668768882751,3.123474743915722e-05,9.014382129635123e-09,0.06800316274166107,0.6434932947158813,0.003994199447333813,5.752809340009435e-09,0.31555888056755066,0.7075040936470032,0.00018716960039455444,0.007443626411259174,0.08979564160108566
-Testing_17,0.558184027671814,2.0032692518712203e-11,0.047801993787288666,0.2484869658946991,0.6197619438171387,0.8855944275856018,0.00013235548976808786,0.5792840123176575,0.0007419119938276708,0.1746019870042801,0.020767342299222946,0.28042924404144287,0.6137228608131409,7.713933882769197e-05,0.39625102281570435,0.11488611251115799,0.9950438737869263,0.0011206057388335466,0.4262803792953491,3.5799977565753593e-11,0.6457282900810242,0.48327943682670593,2.757652092788554e-11,1.706464830553145e-11,6.111064067226835e-06,1.500307718060867e-07,0.5769085884094238,8.366524707525969e-05,0.6438918709754944,0.02609841898083687,0.13144616782665253,1.4854832858582356e-12,1.0174062481382862e-06,0.6472218632698059,0.8744656443595886,0.2858806252479553,0.21304531395435333,0.0006920013693161309,0.7671199440956116,0.0019448588136583567,0.5009350180625916,8.603156706997461e-13,0.7777325510978699,0.0010206091683357954,0.1554010659456253,0.09123057872056961,0.0035586196463555098,0.0443195104598999,0.643871009349823,0.0004652376810554415,5.387271085055545e-05,1.1612900379986968e-05,0.850687563419342,0.00863305851817131,0.7567494511604309,0.7706570625305176,8.408443682128564e-05,1.3656227793035214e-06,2.5815962700903583e-08,0.0006506373174488544,0.0948856770992279,0.12643033266067505,0.011713807471096516,0.3657187521457672,3.9529806511451326e-11,0.3832095265388489,8.592801896156743e-05,0.0024740230292081833,0.03140607103705406,0.0007712036021985114,1.0891846313754172e-09,0.6857157945632935,0.4047794044017792,0.0003059142327401787,3.868867004541698e-09,0.26640185713768005,0.04509894177317619,0.0010688620386645198,0.001124164555221796,0.8077449202537537
-Testing_18,5.651048923027702e-05,6.49216190140578e-07,0.7996882796287537,0.006574101280421019,0.00027705400134436786,7.395215652650222e-05,0.9436390995979309,4.710697112386697e-07,0.43096089363098145,0.3129022717475891,0.0003123101778328419,0.8341997861862183,0.08859889954328537,0.9569104313850403,0.00020388681150507182,0.0003918295551557094,2.5046265061945405e-09,0.9920772314071655,2.0346964673019496e-14,3.7949257603031583e-07,0.0008983694133348763,0.018160348758101463,0.0003636354813352227,4.352840576871131e-08,0.614298939704895,6.986150401644409e-05,8.651350746902153e-10,0.7644989490509033,3.650501056995381e-08,2.8464251954574138e-05,0.9920709729194641,1.2688095921475906e-05,0.009686006233096123,2.094158872978369e-07,5.790438990516122e-07,0.001115019666031003,0.00014524924336001277,0.40057119727134705,0.00035017108893953264,0.9550853371620178,0.0008323105284944177,0.0023545129224658012,1.4255968494580884e-07,0.006166966166347265,0.9041481614112854,0.1396775096654892,0.019985530525445938,0.5112776160240173,4.388829921708748e-08,0.0013897245517000556,0.9375641942024231,0.14068201184272766,2.4284446453748387e-07,0.9102384448051453,7.926643341704676e-09,7.113401014058329e-12,0.013635360635817051,0.01832519844174385,0.0008564823074266315,0.8816900253295898,0.006639769766479731,0.0015944564947858453,0.9902989864349365,0.06469206511974335,1.8489417925593443e-05,0.724760890007019,0.33386608958244324,0.9456536769866943,0.7020046710968018,0.15845170617103577,0.000119540658488404,1.5431409337907098e-05,1.527955464553088e-05,0.9941930174827576,7.174263737397268e-05,5.3372707043308765e-05,0.942259669303894,0.021758653223514557,0.37668880820274353,7.471449237073102e-08
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-Testing_20,4.4150724805339505e-21,1.8408604418596042e-08,7.228292967376256e-18,1.1454366730221858e-19,2.4502158050812966e-21,3.292134661750358e-22,1.6018475434975699e-10,1.2441115869909715e-23,0.35766521096229553,1.5607917122669144e-17,1.7109997705726638e-17,2.8489011150156784e-09,0.11914709955453873,2.1822737835464068e-05,1.7516381498184316e-21,2.233196045259095e-20,2.8656439347342444e-27,4.3840040952136065e-15,8.208222204616775e-31,0.9984764456748962,1.712707144704629e-21,6.862713645568997e-20,0.0020049356389790773,0.1901780366897583,4.849623564950889e-06,0.0007138653891161084,4.442531509361557e-26,3.0066033738601573e-15,9.068457032190346e-25,5.864954173540757e-20,9.912137083345485e-12,2.1424064744479665e-09,0.005651064682751894,1.0617844931069094e-24,4.956763321745535e-24,4.437449687119813e-19,5.6188550368039995e-22,0.004773898981511593,4.5657015595543225e-18,6.249273559570667e-13,8.271222090781375e-21,0.016404278576374054,8.014961850032454e-23,3.4309283591937856e-07,5.781286400374788e-17,1.434784741840425e-16,3.555140004677911e-15,2.740318996075075e-05,1.8961971063376865e-23,6.670588525992116e-09,4.07048946726718e-06,0.0336984358727932,3.814673380132806e-24,8.851850052645285e-14,2.7889481134340015e-24,1.3869875791408768e-28,0.6421025395393372,0.8746110796928406,0.2966199517250061,2.9325268342123012e-12,3.6830051337801047e-17,1.1386268763176003e-20,6.235496008422103e-10,0.09134690463542938,0.00016999602667056024,0.8552879691123962,5.574265378527343e-05,3.956245109293377e-08,8.21226235631626e-16,0.07208245992660522,1.891734200398787e-06,5.369641912412213e-19,2.8486703823197415e-22,2.2500390439716966e-11,0.0002578401763457805,3.0903764549116967e-21,0.00010760958684841171,0.5408304333686829,9.588774219082552e-08,5.823472768183056e-25
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-Testing_38,6.961061935206736e-12,5.47261479368899e-05,5.837245353745857e-08,1.5368720185371387e-10,5.7893564074651405e-12,7.407460333053867e-14,0.8240889310836792,2.2275619730401965e-14,0.9152897596359253,2.315188112333999e-07,5.393074076209814e-08,0.24897423386573792,0.052618831396102905,0.996727705001831,3.3291923905165444e-12,4.296560069533273e-12,2.8148989332404034e-17,0.00032768360688351095,1.6868360411102353e-21,0.055619414895772934,8.829600245396918e-12,2.2078507078138188e-10,0.8437914252281189,0.00019691222405526787,0.9948544502258301,0.008970117196440697,4.1325658853018544e-17,5.605475598713383e-05,2.974830532733938e-15,7.805575630293049e-11,0.12469986826181412,0.012968762777745724,0.8891892433166504,2.9869977375047724e-15,7.17038059685354e-16,1.6707042693742125e-10,1.4744348320397394e-12,0.9721901416778564,6.915574779498002e-09,0.04165071249008179,1.9678264226441478e-11,0.9748334884643555,4.431218643429803e-14,0.03405822440981865,4.806984748029208e-07,4.2917861264868407e-07,3.3039736990758684e-06,0.6240083575248718,1.1381308967647018e-14,0.0017966041341423988,0.9950083494186401,0.2802921533584595,1.0457072355382277e-14,0.0011626397026702762,1.2254593160002623e-15,3.9938815799625534e-19,0.03590725362300873,0.1407894790172577,0.30327463150024414,0.06413855403661728,1.2364230315142777e-06,1.0042300324641928e-11,0.8832992315292358,0.04831390082836151,0.5817307233810425,0.9712622165679932,0.9491707682609558,0.9795085191726685,1.8129921954823658e-05,0.2107357680797577,0.2075790911912918,1.8352981634439658e-10,7.509305135176836e-13,0.07901424169540405,0.024938637390732765,8.307466693724397e-12,0.8179429769515991,0.04201184958219528,0.08731354027986526,1.5626871139225184e-16
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-Testing_52,6.362916792568285e-06,6.315243081189692e-05,0.0574566088616848,7.719702989561483e-05,2.1214080334175378e-05,4.944566285303154e-07,0.8554611206054688,1.0983728593316755e-08,0.36128467321395874,0.004306599497795105,8.598482963861898e-05,0.170833557844162,0.05099332705140114,0.9916822910308838,1.2785230865119956e-05,7.809078852005769e-06,3.13353260006366e-10,0.8386552333831787,7.003370581247818e-16,2.8384773031575605e-05,5.629576844512485e-05,0.0015837483806535602,0.2276017665863037,6.317829956969945e-07,0.9987161159515381,5.05476382386405e-05,4.657898199089683e-12,0.09140085428953171,5.30001909027078e-09,1.5552674085483886e-05,0.9975099563598633,0.00781406182795763,0.012452731840312481,2.267953647105969e-08,1.7671391017159976e-09,2.8216471037012525e-05,1.2469155080907512e-05,0.1517840027809143,5.7138531701639295e-05,0.6605352163314819,7.056817412376404e-05,0.9122788906097412,1.067100274809718e-08,0.21396049857139587,0.1580306887626648,0.02217593416571617,0.1379891335964203,0.2234870046377182,2.237215968037276e-09,0.0012856910470873117,0.9902564287185669,0.9961817264556885,4.829240118908729e-09,0.9580858945846558,3.8684078162987134e-10,2.1280015510133365e-13,0.0037915674038231373,0.0072717322036623955,0.00821664184331894,0.4721469283103943,5.0532362365629524e-05,1.6878157111932524e-05,0.9943011999130249,0.0567963607609272,0.012201998382806778,0.9861818552017212,0.3205944895744324,0.9615317583084106,0.380100280046463,0.11570359766483307,0.0002542276633903384,2.008395654229389e-07,3.7099711335031316e-05,0.9988154172897339,0.00017998524708673358,3.2814461974339793e-06,0.5297430157661438,0.009175095707178116,0.02236100286245346,2.419925593244443e-09
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-Testing_57,6.684952757072254e-25,0.00010654483048710972,9.114120265883903e-20,9.644535803319017e-23,1.3760084992552005e-23,7.708695147930076e-26,2.1702251269944267e-13,1.407391333565252e-26,0.041687700897455215,1.2899337523017772e-19,3.6309020196121245e-17,1.2012744585957608e-13,0.9982569813728333,7.517361382269883e-07,2.9360235378186332e-24,1.4905061376216938e-24,3.320602345118082e-29,8.47961295364491e-15,6.384548866455876e-32,0.9994603991508484,6.72719438500219e-23,1.414256073146043e-22,0.018298299983143806,0.9999904632568359,2.1108506942368876e-08,0.9031191468238831,2.022068756092401e-29,5.284551821745781e-14,6.524710917541765e-27,4.914425220071196e-22,1.2734245895176105e-13,0.0007031986606307328,0.0006668954738415778,2.998500051939118e-26,2.4680763649299815e-29,1.5402755299042684e-22,1.1207073145740803e-23,0.03269748017191887,1.6123380266076607e-20,1.8153637230608477e-13,2.956603972202763e-23,0.2642251253128052,7.576629355337181e-26,6.606875047054928e-08,5.469557058602494e-19,4.0945872006257046e-19,1.8625361155060507e-18,2.765795272807736e-07,1.0340978850571983e-26,1.2512226987837494e-07,1.3849126290210734e-09,0.010996771045029163,4.4605486610284976e-26,1.4584519342651188e-17,8.555815703598994e-28,2.4019989122442707e-29,0.9987311959266663,0.9999686479568481,0.9897117614746094,4.576694349835066e-15,3.670031963925068e-17,1.0460814673706252e-23,1.4317655394613382e-10,0.9994290471076965,0.0028769716154783964,0.8885749578475952,1.916127985168714e-06,1.262874604890385e-08,2.3038239442084433e-18,0.8008232116699219,2.4211976779042743e-06,2.0653136007103493e-20,1.7292935447711888e-25,2.3289245423656346e-13,0.0016064330702647567,3.882441422828903e-23,3.8341008234965557e-07,0.9996891021728516,2.698398873235419e-07,4.676582963729466e-31
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diff --git a/data/tidy/output/siamese_scores.csv b/data/tidy/output/siamese_scores.csv
index b78e942..478238b 100644
--- a/data/tidy/output/siamese_scores.csv
+++ b/data/tidy/output/siamese_scores.csv
@@ -1,81 +1,81 @@
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+Training_28,28,28,28,0.9999933
+Training_29,29,29,29,0.99943835
+Training_30,30,30,30,0.5063815
+Training_31,31,31,31,0.5063815
+Training_32,32,32,32,0.9999769
+Training_33,33,33,33,0.99995506
+Training_34,34,34,34,0.9999975
+Training_35,35,35,35,0.5063815
+Training_36,36,36,36,0.999268
+Training_37,37,37,37,0.999998
+Training_38,38,38,38,0.9997429
+Training_39,47,39,39,0.9858568
+Training_40,40,40,40,0.99998844
+Training_41,41,41,41,0.5063815
+Training_42,42,42,42,0.5063815
+Training_43,43,43,43,0.5063815
+Training_44,44,44,44,0.9917995
+Training_45,45,45,45,0.9999999
+Training_46,46,46,46,0.5063815
+Training_47,39,47,47,0.9991003
+Training_48,48,48,48,0.9907878
+Training_49,49,53,49,0.99998367
+Training_50,50,50,50,0.99996436
+Training_51,51,51,51,0.99995506
+Training_52,52,52,52,0.5063815
+Training_53,53,49,53,0.99963784
+Training_54,54,54,54,0.5063815
+Training_55,55,55,55,0.5063815
+Training_56,56,56,56,0.5063815
+Training_57,57,1,57,0.9998673
+Training_58,58,58,10,0.5063815
+Training_59,59,57,59,0.5063815
+Training_60,60,59,60,0.98769337
+Training_61,61,60,61,0.99999964
+Training_62,62,62,62,0.5063815
+Training_63,63,63,63,0.999846
+Training_64,64,64,64,0.99996245
+Training_65,65,65,72,0.9962931
+Training_66,66,66,66,0.5063815
+Training_67,67,67,67,0.5063815
+Training_68,13,68,68,0.99231917
+Training_69,69,69,69,0.9999144
+Training_70,70,70,70,0.9999807
+Training_71,71,71,71,0.5063815
+Training_72,72,72,65,0.5063815
+Training_73,73,73,73,0.99999964
+Training_74,74,74,74,0.9995695
+Training_75,75,75,75,0.9999434
+Training_76,76,76,76,0.99990666
+Training_77,77,77,77,0.5063815
+Training_78,78,78,20,0.99511635
+Training_79,79,79,78,0.9999274
+Training_80,80,80,79,0.9999852
diff --git a/data/tidy/output/siamese_submission_test.csv b/data/tidy/output/siamese_submission_test.csv
index ab940b6..fb04f61 100644
--- a/data/tidy/output/siamese_submission_test.csv
+++ b/data/tidy/output/siamese_submission_test.csv
@@ -1,81 +1,81 @@
-sample,Clinical,RNAseq,Proteomics
-Testing_1,1,69,69
-Testing_2,2,64,64
-Testing_3,3,3,3
-Testing_4,4,30,30
-Testing_5,5,16,16
-Testing_6,6,24,24
-Testing_7,7,40,40
-Testing_8,8,55,55
-Testing_9,9,11,11
-Testing_10,10,10,62
-Testing_11,11,48,48
-Testing_12,12,12,12
-Testing_13,13,43,13
-Testing_14,14,14,14
-Testing_15,15,15,15
-Testing_16,16,5,5
-Testing_17,17,17,17
-Testing_18,18,61,61
-Testing_19,19,19,80
-Testing_20,20,20,20
-Testing_21,21,22,21
-Testing_22,22,21,22
-Testing_23,23,23,32
-Testing_24,24,6,6
-Testing_25,25,25,25
-Testing_26,26,26,26
-Testing_27,27,27,27
-Testing_28,28,18,18
-Testing_29,29,42,42
-Testing_30,30,29,29
-Testing_31,31,31,31
-Testing_32,32,32,23
-Testing_33,33,33,33
-Testing_34,34,34,34
-Testing_35,35,35,35
-Testing_36,36,36,36
-Testing_37,37,37,56
-Testing_38,38,38,38
-Testing_39,39,39,39
-Testing_40,40,4,4
-Testing_41,41,41,10
-Testing_42,42,7,7
-Testing_43,43,13,43
-Testing_44,44,44,44
-Testing_45,45,8,8
-Testing_46,46,9,9
-Testing_47,47,47,47
-Testing_48,48,79,79
-Testing_49,49,49,19
-Testing_50,50,72,72
-Testing_51,51,51,51
-Testing_52,52,52,52
-Testing_53,53,45,45
-Testing_54,54,54,54
-Testing_55,55,1,1
-Testing_56,56,56,37
-Testing_57,57,57,57
-Testing_58,58,58,58
-Testing_59,59,59,59
-Testing_60,60,60,60
-Testing_61,61,46,46
-Testing_62,62,62,41
-Testing_63,63,63,63
-Testing_64,64,2,2
-Testing_65,65,65,65
-Testing_66,66,66,66
-Testing_67,67,70,70
-Testing_68,68,68,68
-Testing_69,69,74,74
-Testing_70,70,78,78
-Testing_71,71,71,71
-Testing_72,72,53,53
-Testing_73,73,73,73
-Testing_74,74,50,50
-Testing_75,75,75,75
-Testing_76,76,76,76
-Testing_77,77,77,77
-Testing_78,78,67,67
-Testing_79,79,28,28
-Testing_80,80,80,49
+sample,Clinical,RNAseq,Proteomics
+Testing_1,1,1,1
+Testing_2,20,2,2
+Testing_3,3,3,3
+Testing_4,4,4,11
+Testing_5,5,5,56
+Testing_6,6,6,6
+Testing_7,7,7,7
+Testing_8,8,8,8
+Testing_9,9,9,9
+Testing_10,10,10,10
+Testing_11,11,11,4
+Testing_12,12,12,12
+Testing_13,13,13,13
+Testing_14,14,14,14
+Testing_15,15,15,15
+Testing_16,16,16,16
+Testing_17,17,17,17
+Testing_18,18,18,18
+Testing_19,19,29,19
+Testing_20,2,20,20
+Testing_21,21,21,21
+Testing_22,22,22,22
+Testing_23,23,23,23
+Testing_24,28,24,24
+Testing_25,25,25,25
+Testing_26,26,26,26
+Testing_27,27,27,35
+Testing_28,24,28,28
+Testing_29,29,19,29
+Testing_30,30,30,30
+Testing_31,54,31,31
+Testing_32,32,32,32
+Testing_33,33,33,33
+Testing_34,34,34,34
+Testing_35,35,35,41
+Testing_36,36,36,36
+Testing_37,37,37,37
+Testing_38,38,38,38
+Testing_39,39,39,39
+Testing_40,40,40,40
+Testing_41,41,41,27
+Testing_42,42,42,42
+Testing_43,43,43,43
+Testing_44,44,44,44
+Testing_45,45,45,45
+Testing_46,46,46,46
+Testing_47,47,47,47
+Testing_48,48,48,48
+Testing_49,49,49,49
+Testing_50,50,50,50
+Testing_51,51,51,51
+Testing_52,52,52,52
+Testing_53,53,53,53
+Testing_54,31,54,54
+Testing_55,55,55,55
+Testing_56,56,56,5
+Testing_57,57,57,57
+Testing_58,58,58,58
+Testing_59,64,59,59
+Testing_60,60,60,60
+Testing_61,61,61,61
+Testing_62,62,62,62
+Testing_63,63,63,63
+Testing_64,59,64,64
+Testing_65,65,65,65
+Testing_66,66,66,66
+Testing_67,67,67,67
+Testing_68,68,68,68
+Testing_69,69,69,69
+Testing_70,71,70,70
+Testing_71,70,71,71
+Testing_72,72,72,72
+Testing_73,73,73,73
+Testing_74,74,74,74
+Testing_75,75,75,75
+Testing_76,76,76,76
+Testing_77,77,77,77
+Testing_78,78,78,78
+Testing_79,79,79,79
+Testing_80,80,80,80
diff --git a/data/tidy/output/siamese_submission_train.csv b/data/tidy/output/siamese_submission_train.csv
index 8ac2675..11e5430 100644
--- a/data/tidy/output/siamese_submission_train.csv
+++ b/data/tidy/output/siamese_submission_train.csv
@@ -1,81 +1,81 @@
-sample,Clinical,RNAseq,Proteomics
-Training_1,1,1,1
-Training_2,2,41,41
-Training_3,3,3,3
-Training_4,4,4,4
-Training_5,5,35,5
-Training_6,6,6,6
-Training_7,7,7,7
-Training_8,8,8,8
-Training_9,9,78,9
-Training_10,10,9,10
-Training_11,11,11,11
-Training_12,12,12,12
-Training_13,13,13,13
-Training_14,14,14,14
-Training_15,15,15,15
-Training_16,16,48,48
-Training_17,17,17,17
-Training_18,18,18,18
-Training_19,19,19,19
-Training_20,20,20,20
-Training_21,21,21,21
-Training_22,22,80,80
-Training_23,23,23,27
-Training_24,24,24,24
-Training_25,25,25,25
-Training_26,26,26,26
-Training_27,27,27,23
-Training_28,28,28,28
-Training_29,29,29,29
-Training_30,30,30,30
-Training_31,31,31,31
-Training_32,32,32,32
-Training_33,33,36,36
-Training_34,34,34,34
-Training_35,35,5,35
-Training_36,36,33,33
-Training_37,37,37,37
-Training_38,38,38,38
-Training_39,39,39,39
-Training_40,40,40,40
-Training_41,41,2,2
-Training_42,42,42,42
-Training_43,43,43,43
-Training_44,44,44,44
-Training_45,45,45,45
-Training_46,46,47,46
-Training_47,47,46,47
-Training_48,48,16,16
-Training_49,49,49,49
-Training_50,50,72,72
-Training_51,51,51,51
-Training_52,52,52,52
-Training_53,53,53,53
-Training_54,54,54,54
-Training_55,55,55,55
-Training_56,56,56,56
-Training_57,57,57,57
-Training_58,58,58,77
-Training_59,59,59,59
-Training_60,60,63,60
-Training_61,61,61,61
-Training_62,62,62,62
-Training_63,63,60,63
-Training_64,64,64,64
-Training_65,65,65,65
-Training_66,66,66,66
-Training_67,67,67,67
-Training_68,68,68,68
-Training_69,69,69,69
-Training_70,70,70,70
-Training_71,71,71,71
-Training_72,72,50,50
-Training_73,73,73,73
-Training_74,74,74,74
-Training_75,75,75,75
-Training_76,76,76,76
-Training_77,77,77,58
-Training_78,78,10,78
-Training_79,79,79,79
-Training_80,80,22,22
+sample,Clinical,RNAseq,Proteomics
+Training_1,1,46,1
+Training_2,2,2,2
+Training_3,3,33,3
+Training_4,4,4,4
+Training_5,5,5,5
+Training_6,6,6,6
+Training_7,7,7,7
+Training_8,8,8,8
+Training_9,9,9,9
+Training_10,10,1,10
+Training_11,11,16,16
+Training_12,12,59,12
+Training_13,13,13,13
+Training_14,14,14,14
+Training_15,15,15,15
+Training_16,16,41,41
+Training_17,17,17,17
+Training_18,18,42,18
+Training_19,19,19,19
+Training_20,20,20,20
+Training_21,21,21,21
+Training_22,22,22,22
+Training_23,23,23,23
+Training_24,24,24,24
+Training_25,25,25,25
+Training_26,26,27,27
+Training_27,27,26,26
+Training_28,28,28,28
+Training_29,29,11,11
+Training_30,30,30,30
+Training_31,31,31,31
+Training_32,32,32,32
+Training_33,33,3,33
+Training_34,34,34,34
+Training_35,35,35,35
+Training_36,36,36,36
+Training_37,37,37,37
+Training_38,38,38,38
+Training_39,39,39,39
+Training_40,40,40,40
+Training_41,41,78,78
+Training_42,42,10,42
+Training_43,43,43,43
+Training_44,44,44,44
+Training_45,45,45,65
+Training_46,46,18,46
+Training_47,47,47,47
+Training_48,48,48,48
+Training_49,49,49,49
+Training_50,50,50,50
+Training_51,51,51,51
+Training_52,52,52,52
+Training_53,53,53,53
+Training_54,54,54,54
+Training_55,55,55,55
+Training_56,56,56,56
+Training_57,57,57,57
+Training_58,58,58,58
+Training_59,59,12,59
+Training_60,60,60,60
+Training_61,61,61,61
+Training_62,62,62,62
+Training_63,63,63,63
+Training_64,64,64,64
+Training_65,65,65,45
+Training_66,66,66,66
+Training_67,67,67,67
+Training_68,68,68,68
+Training_69,69,69,69
+Training_70,70,70,70
+Training_71,71,71,71
+Training_72,72,72,72
+Training_73,73,73,73
+Training_74,74,74,74
+Training_75,75,75,75
+Training_76,76,76,76
+Training_77,77,77,77
+Training_78,78,29,29
+Training_79,79,79,79
+Training_80,80,80,80
diff --git a/genetic.py b/genetic.py
index 52560c7..cbef480 100644
--- a/genetic.py
+++ b/genetic.py
@@ -171,6 +171,24 @@ def mutate(seq, n_mutations=N_MUTATIONS):
         seq[loc1], seq[loc2] = seq[loc2], seq[loc1]
     return seq
 
+def most_common(lst):
+    return max(set(lst), key=lst.count)
+
+def reorder_sample_ids(df):
+    print('Hello Mundo')
+    #take df loop over each row
+    for i in range(0,len(df.index)):
+        most_common_index = int(most_common([df.iloc[i, 0], df.iloc[i, 1], df.iloc[i, 2]]))
+        current_index = i + 1
+        if most_common_index is not current_index:
+            # switch content of the two indices
+            # using -1 because samples ids are 1 based but python is 0 based
+            temp_values = df.iloc[(most_common_index-1),:].copy()
+            df.iloc[(most_common_index-1),:] = df.iloc[i,:].copy()
+            df.iloc[i, :] = temp_values
+    return df
+
+
 if __name__ == "__main__":
     genetic = Genetic(train=True)
     no_mismatches = Individual(genetic.patients, genetic.patients, genetic.patients)
@@ -194,4 +212,6 @@ def mutate(seq, n_mutations=N_MUTATIONS):
     print("Best arrangement found:")
     df = genetic_test.best_genes.dataframe()
     print(df)
+    reorder_sample_ids(df)
+    print(df)
     df.to_csv("./data/tidy/output/siamese_submission_test.csv")
diff --git a/learner_functions.py b/learner_functions.py
index 2cd6c90..c57d613 100644
--- a/learner_functions.py
+++ b/learner_functions.py
@@ -84,7 +84,8 @@ def train_bagging_knn(data,labels):
 
 
 def train_svm(data, labels,**kwargs):
-   return train_classifier(data,labels, svm.SVC,**kwargs)
+    kwargs = {'probability':True}
+    return train_classifier(data,labels, svm.SVC,**kwargs)
 
 
 def make_test_prediction(model, data, labels, print_details=True):