G25 Users: Create Custom Made Calculators Who Perfectly Fit Yourself (Scaled or Unscaled)

[mitalit]

Spanish_Castilla_Y_Leon,0.1077523,0.1438667,0.0404773,-0.0021533,0.0438027,0.0018593,-0.0017233,0.004615,0.0284287,0.0292183,-0.0023277,0.007843,-0.012091,-0.012019,0.01226,-0.006541,-0.0067797,-0.0017313,-0.004525,-0.0022927,0.000291,-0.0009067,0.0013147,-0.0025703,-0.002754
Basque_Spanish,0.1319083,0.1504111,0.0582862,0.0090081,0.0575834,0.0001239,-0.0033162,0.0004102,0.0313603,0.0455997,-0.0045288,0.0116063,-0.0227781,-0.0187627,0.0179452,0.0037271,-0.0058094,0.0027731,-0.0018156,-6.96e-05,0.0087901,0.0024868,-0.0068883,-0.0090371,0.0022619
Italian_Campania,0.1077999,0.1480133,-0.0089094,-0.0436185,0.0137461,-0.0161523,-0.0004504,-0.002269,0.0041928,0.0222025,0.0007848,0.0023355,-0.0050607,-0.0017088,-0.0066447,-0.0007843,0.0027761,-0.0002586,0.0025872,-0.004028,-0.0040866,0.0018496,0.001058,0.0019682,0.0002893

It is not perfect but i'm surprised.

Target: Xabier_scaled
Distance: 3.1050% / 0.03104978
69.2 Spanish_Castilla_Y_Leon
20.4 Basque_Spanish
10.4 Italian_Campania

Distance to: Xabier_scaled
0.03220915 Spanish_Castilla_Y_Leon
0.05226051 Basque_Spanish
0.08569733 Italian_Campania

[Dr_Maul]

My father with your calc:

Target: KypFather_scaled
Distance: 2.3433% / 0.02343274
42.4 Assyrian
24.0 Turkmen_Uzbekistan
22.0 Iranian_Fars
7.6 Georgian_Imer
4.0 Sindhi

Target: KypFather_scaled2
Distance: 2.4499% / 0.02449861 | ADC: 0.25x
50.6 Iranian_Fars
27.2 Assyrian
19.8 Turkmen_Uzbekistan
2.4 Georgian_Imer

What do you think is missing to minimize the distance to a level where it's similar to yours?

Anatolian maybe? I recall him scoring more than average. Maybe add Greek_Central_Anatolia

[Abriekman]

Target: Abriekman_scaled
Distance: 1.9273% / 0.01927345
85.4 Balto-Slavic
7.8 Bulgarian
6.8 Romaniote_Jew

Bulgarian:BulgarianH2,0.117238,0.140143,0.015462,-0.003553,0.022158,-0.00753,0.004465,0.003461,0.004909,0.011845,-0.004222,-0.004646,0.005054,0.016652,-0.017236,-0.009812,-0.004955,0.001774,0.008547,-0.009254,-0.003993,0.002473,0.000246,-0.008435,-0.001078
Romaniote_Jew:Romaniote7,0.088782,0.14319,-0.032432,-0.063954,-0.00277,-0.016733,-0.006815,-0.005538,0.007567,0.014214,0.003573,0.002997,-0.004906,0.005367,-0.008143,-0.016441,-0.014994,-0.004307,0.006536,-0.007754,-0.001373,0.002473,0.001972,-0.005302,0.007065
Russian_Kostroma,0.1282407,0.0873355,0.0814582,0.0 680453,0.027441,0.0215208,0.0119073,0.0129993,-0.0033747,-0.0299475,0.0042222,-0.0074932,0.017963,0.0123402,-0.0091383,-0.0039112,0.0009127,-0.0016258,-0.0017597,0.0004792,6.23e-05,-0.0014427,0.0035947,-0.0006025,-0.0020557
Balto-Slavic:Ukrainian,0.1309273,0.1240867,0.0683506,0.0 575551,0.0376867,0.0212936,0.0087651,0.0113072,-0.002891,-0.0210999,-0.0016327,-0.0076594,0.0153563,0.0216328,-0.0112354,-0.0010965,0.0046903,-0.0006985,0.0025989,0.0017002,-0.0044989,-0.003479,0.0067387,-0.0040578,0.0007217

[Kyp]

Anatolian maybe? I recall him scoring more than average. Maybe add Greek_Central_Anatolia

A tiny bit:

Target: KypFather_scaled2
Distance: 2.1092% / 0.02109181 | ADC: 0.25x
57.6 Iranian_Fars
20.4 Greek_Central_Anatolia
18.6 Turkmen_Uzbekistan
4.4 Greek_Trabzon

Currently searching for any population that could lower it even more, but without success..

[Dr_Maul]

A tiny bit:

Target: KypFather_scaled2
Distance: 2.1092% / 0.02109181 | ADC: 0.25x
57.6 Iranian_Fars
20.4 Greek_Central_Anatolia
18.6 Turkmen_Uzbekistan
4.4 Greek_Trabzon

Currently searching for any population that could lower it even more, but without success..

Maybe replace Georgia imer with some north caucasus?

[JamesBond007]

There's no model that perfectly fits me, French samples don't work on me as well as British ones.

Did you read mofo ? He said modern OR ANCIENT !. Surely, you can make an ancient model with iron age and middle age samples.

[JamesBond007]

Target: Kevin_scaled
Distance: 1.9045% / 0.01904529
41.2 VK2020_England_Dorset_VA (Viking age)
32.8 England_IA (native British)
14.2 VK2020_IRL_Dublin_VA (Viking age)
11.8 SVK_Poprad_MA (Deutschendorf German related to Danish vikings)

VK2020_England_Dorset_VA,0.1212217,0.1271105,0.0617848,0.0473733,0.038571,0.0167798,0.00188,0.0070383,0.0025907,0.0001213,-0.0058728,0.0047207,-0.0132062,-0.0146338,0.02115,0.0123528,-0.0026295,-0.0016048,0.0034358,0.0035433,0.0039722,0.0049462,0.000904,0.011347,-0.0033328
England_IA,0.1317503,0.1307495,0.0601505,0.0480462,0.0350832,0.0201498,0.0048175,0.0036922,0.0042438,0.0041915,-0.0044248,0.0057322,-0.0105175,-0.018476,0.0180167,0.0100438,0.001206,-6.33e-05,0.0033312,0.003908,0.0038995,0.000247,-0.0012018,0.0114172,0.0004493
VK2020_IRL_Dublin_VA,0.1217907,0.1310033,0.0657447,0.054264,0.0446237,0.0204523,0.0013317,0.0056153,0.0025907,-0.0012757,-0.005467,0.0062947,-0.0121407,-0.008487,0.018232,0.011005,0.001304,0.0089103,0.0038967,0.007712,0.0093587,0.004039,0.0057927,0.0095193,-0.000479
SVK_Poprad_MA,0.124067,0.135065,0.059585,0.043282,0.041238,0.017291,-0.001175,0.002769,0.002659,-0.00328,-0.003248,0.007044,-0.012487,-0.006606,0.0057,0.020154,0.002217,0.000127,-0.000377,-0.00075,-0.00287,0.004081,0.000986,0.021328,0.000599

[InfamousAngel99]

I used references from countries I actually have a recent papertrail connection to, and ignored populations that I have no proof of connection to or that I have a connection to but it's more than 5 generations back (regardless of DNA results). This is what I got (the only one I kept in that did not show up in my results was Scottish):

Distance: 0.1399% / 0.00139880
36.0 English
30.6 Dutch
10.0 French_Alsace
5.2 German_East
4.8 Croatian
4.2 German
3.0 French_Paris
2.6 Irish
1.4 Polish
1.2 Norwegian
1.0 French_South

[Mr.G]

As many are aware, the Vahaduo calc received an update recently, it now targets a slightly lower distance. Here is an example of the previous Vahaduo calc compared to the new calc, using only my ancestral pops (from the modern pop averages spreadsheet):

Target: Mr.G_scaled
Distance: 1.7883% / 0.01788270 | ADC: 0.25x
49.4 Hungarian
39.4 German
11.2 English

-----------------------


Target: Mr.G_scaled
Distance: 1.7760% / 0.01776033 | ADC: 0.25x RC
62.4 Hungarian
30.0 English
7.6 German

So in achieving a slightly closer distance, this new calculation has become seemingly less accurate when compared to the original.

[Abriekman]

As many are aware, the Vahaduo calc received an update recently, it now targets a slightly lower distance. Here is an example of the previous Vahaduo calc compared to the new calc, using only my ancestral pops (from the modern pop averages spreadsheet):

Target: Mr.G_scaled
Distance: 1.7883% / 0.01788270 | ADC: 0.25x
49.4 Hungarian
39.4 German
11.2 English

-----------------------


Target: Mr.G_scaled
Distance: 1.7760% / 0.01776033 | ADC: 0.25x RC
62.4 Hungarian
30.0 English
7.6 German

So in achieving a slightly closer distance, this new calculation has become seemingly less accurate when compared to the original.

What is the difference without penalty?