G25 Neolithic non overfit / non eating up components G25 model by me

Power

Regular Member
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Ethnic group
Kurdish (from Turkey . Dersim province)
in this model you might have a worse fit than with others models you encountered in general . the reason is that i made this model with giving the importance of the populations / components not eating up each other causing an overfit etc. . as much as i could

so it will likely show some hidden stuff you have that you didnt see on other models

many models i have seen have mistakes in it like for example using Levant N , EEF at the same time or Levant N and Levant Natufian at the same time which doesnt make any sense

here is my model :

Balkan_N_(EEF):Serbia_LepenskiVir_EN.SG,0.126344,0.185842,0,-0.100453,0.059088,-0.056894,-0.00423,-0.007384,0.051131,0.096038,0.012829,0.01124,-0.029286,0.004954,-0.046824,-0.01074,0.018645,0.004687,0.01345,-0.016383,-0.009358,0.007296,0.00037,0.002169,-0.0097
Georgia_Kotias.SG,0.08992,0.103584,-0.088246,-0.004845,-0.089555,0.020359,0.023266,-0.001154,-0.130486,-0.080002,-0.007632,0.024878,-0.052626,0.007707,0.026465,-0.0297,0.027772,-0.010769,-0.023757,0.037518,0.030945,-0.006677,0.0053,-0.020846,0.001557
Natufian:I0861,0.020488,0.131003,-0.039221,-0.141475,0.027082,-0.0753,-0.017861,-0.025845,0.102671,-0.004556,0.030042,-0.020682,0.069573,-0.000963,0.020222,0.028772,-0.012647,0.008868,-0.021117,0.04252,-0.004243,-0.002597,-0.011955,-0.006386,0.011735
SSA:Yoruba,-0.6300625,0.0625011,0.022113,0.0167079,0.0005035,0.0124741,-0.044417,0.0477673,-0.0488813,0.0327694,0.0046205,0.0007904,0.0230561,0.0009509,0.0125232,-0.0096067,0.0070763,0.0004491,0.006022,-0.00299,0.0015542,0.0023156,-0.0017592,-0.0004711,-0.0004246
SSA:Kongo,-0.628304,0.064994,0.020365,0.017442,-0.000615,0.016176,-0.016451,0.020076,-0.033746,0.020228,0.008607,-0.003147,-0.001933,0.001514,-0.006786,0.00769,-0.009648,0.00114,0.001257,0.003502,-0.002496,-0.000989,0.001109,-0.001084,-0.006826
SSA:Dinka,-0.577083,0.0507765,-0.0003773,-0.0075098,-0.0053855,-0.0016735,-0.0176848,0.0204222,0.081145,-0.0969495,-0.02107,0.022742,-0.0383172,-0.0011698,0.0101452,-0.021347,0.0186125,-0.0094382,0.0241968,-0.0241678,0.002402,0.003308,0.001479,0.0009038,0.0096995
Japanese,0.0229543,-0.445479,0.0130733,-0.059109,0.0362118,0.0093428,0.003525,0.0005768,-0.0065105,0.0106607,-0.0740492,-0.0074685,0.011546,-0.0070647,-0.0110612,-0.004464,0.0003042,0.0035895,0.001676,-0.0092547,0.0270355,-0.01659,0.0049093,0.003374,-0.0419723
AASI:S_AASI_Sim(Hakkipikki),-0.017354205,-0.304894303,-0.268679085,0.181329575,-0.039351991,0.073271504,-0.022843875,0.037359828,0.187881353,0.126707043,-0.010024877,-0.004718921,0.008198494,0.036303194,-0.056184046,-0.072647447,-0.011352189,0.00825265,0.004209097,0.038425578,0.00661663,0.026988706,0.007609686,0.01678573,-0.009232161
AASI:NW_AASI,0.058062278,-0.24745847,-0.325699695,0.273535685,-0.119223593,0.177284363,0.005596483,0.058361388,0.170617118,0.13535108,-0.00361402,0.035724435,-0.030872625,0.03748403,-0.013375715,-0.129868563,0.005831905,-0.02091509,-0.021039598,0.054171475,0.001207383,0.0099081,0.01941486,0.05655002,-0.064804895
WHG:Rochedane,0.118376,0.111708,0.178001,0.184111,0.150182,0.044623,0.010575,0.034383,0.090809,0.028064,-0.014615,-0.016186,0.013974,-0.002752,0.058767,0.069344,0.002738,0.014189,-0.015335,0.054151,0.101446,0.013231,-0.050778,-0.178579,0.019519
WHG:BEL_Loschbour:I0001,0.133173,0.106631,0.2 0176,0.192186,0.164338,0.055778,0.00611,0.036922,0 .096535,0.02278,-0.020786,-0.016186,0.024975,-0.007432,0.065824,0.063643,0.008084,0.006714,-0.013324,0.065281,0.120038,0.019166,-0.059405,-0.175687,0.022992
WHG:ITA_Villabruna:Villabruna,0.121791,0.1147 55,0.18592,0.184111,0.156337,0.060798,0.020211,0.0 35998,0.092445,0.018041,-0.016239,-0.016186,0.016947,-0.010046,0.054017,0.067356,0.000782,0.005448,-0.008422,0.053526,0.100073,0.010758,-0.048313,-0.163517,0.01928
WHG:Wales_Meso,0.1160995,0.1157705,0.187806,0.195416,0.1629535,0.0642845,0.0243235,0.030691,0.0915245,0.010023,-0.020055,-0.0059945,0.0049805,-0.0015825,0.061617,0.0646375,-0.001043,0.010135,-0.0043995,0.0596535,0.1056885,0.0183625,-0.047327,-0.175386,0.017783
WHG:England_Mesolithic,0.126344,0.110693,0.202891,0.197031,0.157876,0.055778,0.010575,0.03346,0.086514,0.016583,-0.017863,-0.01139,0.014866,-0.001651,0.061481,0.065499,0.002477,0.009882,-0.005531,0.06353,0.116295,0.019661,-0.055954,-0.179664,0.019399
WHG:ITA_Grotta_Continenza_Meso,0.1225497,0.1120467,0.2008793,0.2048907,0.1728527,0.0618207,0.0160593,0.0412293,0.108602,0.0271533,-0.0193243,-0.0143373,0.0162043,-0.0086703,0.0708007,0.069035,0.0002173,0.0120353,-0.0099303,0.0637807,0.118,0.0113347,-0.0608843,-0.1971763,0.021994
Taforalt:TAF010,-0.193499,0.083273,-0.03017,-0.088502,0.034776,-0.055499,-0.076378,0.019384,0.163619,0.008565,0.02111,-0.030573,0.07879,-0.046104,0.077496,-0.046141,-0.00665,-0.069805,-0.144176,0.036518,-0.042924,-0.129217,0.07629,-0.015303,0.018322
East_European_HG:RUS_Samara_HG,0.119514,0.048745,0.113513,0.206398,-0.008001,0.054384,-0.013161,-0.023537,-0.01309,-0.090936,0.01429,-0.018883,0.026164,-0.03647,0.020629,0.012994,-0.005867,-0.000507,-0.00729,0.009004,-0.011854,0.025102,0.009737,-0.02651,-0.009101
East_European_HG:Russia_EHG,0.117238,0.02945,0.126335,0.20446,-0.018773,0.058009,-0.017626,-0.029306,-0.004704,-0.083464,0.019324,-0.016036,0.029881,-0.05037,0.022122,0.030496,-0.001956,0.005448,0.001257,0.017008,-0.003494,0.02201,0.015159,-0.014942,-0.012933
East_European_HG:Russia_Sidelkino_HG.SG,0.121791,0.041637,0.135386,0.195739,0.00277,0.054663,-0.021621,-0.020768,-0.004909,-0.073806,0.010555,-0.012889,0.029881,-0.044865,0.027144,0.02254,-0.004433,-0.004687,-0.010307,0.018634,-0.005989,0.013973,0.006286,-0.020846,-0.003473
East_European_HG:Russia_Karelia_HG,0.1257745,0.03402,0.1318035,0.212535,-0.0066165,0.056196,-0.019741,-0.0212295,-0.001125,-0.088293,0.016807,-0.020157,0.035158,-0.0330985,0.0170325,0.0286395,-0.0204705,0.001837,-0.0064105,0.009817,-0.008797,0.0129215,0.0082575,-0.023859,-0.007185
Iran_N:Iran_GanjDareh_N:I1945,0.045529,0.069056,-0.149717,-0.000969,-0.130794,0.030678,0.013396,0.003231,-0.085082,-0.056858,-0.009256,0.001199,-0.000743,-0.002477,0.030266,0.05476,-0.015125,0.004941,0.015712,-0.024762,-0.000125,-0.026956,-0.00986,-0.033258,0.017962
Iran_N:Iran_GanjDareh_N:I1954,0.054635,0.072103,-0.151225,0.004522,-0.125562,0.029005,0.018566,0.003,-0.083241,-0.054124,-0.001461,-0.004946,0.013974,-0.002615,0.028908,0.044285,-0.01343,0.009248,0.012947,-0.038143,0.004866,-0.029058,-0.006286,-0.037475,0.026465


you can also try using simulated Arabian HG instead of Natufian :

Arabian_HG_Simulated:Credit_to_maker,0.039888233,0.1 42586867,-0.04316931,-0.153743659,0.029058167,-0.080667861,-0.025749061,-0.009478612,0.121672147,-0.006548222,0.023534012,-0.054491741,0.10874119,0.008634649,0.016847984,0.0 31575641,-0.035549447,0.002865388,-0.011667896,0.058035502,0.022332959,0.036230239,-0.013207988,0.019668841,-0.015894371




my result :

46801839re.jpg
 
Perhaps you could try Turkey_Barcin samples instead of Balkan EEF
 
Perhaps you could try Turkey_Barcin samples instead of Balkan EEF

barcin eats up some natufian and chg or ehg
 
Last edited:
Perhaps you could try Turkey_Barcin samples instead of Balkan EEF

that being said when i use Barcin instead i am almost 40 Barcin

46805755gw.jpg
 
Target: MandM
Distance: 4.7096% / 0.04709589
53.6 Balkan_N_(EEF)
31.4East_European_HG
15.0 Georgia_Kotias.SG
 
Greetings, could you model the CHG that took part in such samples as progress, middle don, Khvalynsk yamnaya?It's just that Georgian chgs are not quite suitable for this
 
Greetings, could you model the CHG that took part in such samples as progress, middle don, Khvalynsk yamnaya?It's just that Georgian chgs are not quite suitable for this

you mean if i could include steppe in the model ?
 
Вы имеете в виду, могу ли я включить в модель степь?
I meant, how did you get the artificial coordinates For Arabian_HG_Simulated? Could you also get the coordinates for the hunter-gatherers of the Caucasus who took part in yamnaya and other similar cultures, since the sample "Kotias satsurblia" is not very suitable for modeling.
 
I meant, how did you get the artificial coordinates For Arabian_HG_Simulated? Could you also get the coordinates for the hunter-gatherers of the Caucasus who took part in yamnaya and other similar cultures, since the sample "Kotias satsurblia" is not very suitable for modeling.

i got it from someone else long time ago

unfortunately i dont have the coordinates for the pops you ask and i am not able to simulate them
 

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