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| Received: 3,238/40 Given: 973/4 |
I added one IBM sample in order to get a good distance:
Target: Adam_scaledCode:Eastern_Europe:Latvian,0.1354494,0.122473,0.0887742,0.089471,0.043208,0.0340246,0.0125966,0.0140762,-0.002168,-0.0368842,-0.0035728,-0.0138178,0.0232208,0.031378,-0.010559,0.0040572,0.0027118,-0.0003802,0.0016088,0.0043022,-0.0027952,-0.0057128,0.0090708,-0.0093264,0.0026346 Westerm_Europe:Irish,0.1334042,0.134875,0.0610876,0.0482532,0.0383388,0.0188992,0.003,0.0047738,0.0031318,0.002725,-0.00714,0.005606,-0.0143759,-0.0139278,0.0253478,0.0048208,-0.0110725,0.0022052,0.0007502,0.0013385,0.0051745,0.0012249,-0.0003563,0.0147667,0.0010665 Caucasus:Georgian_Imer,0.108132,0.1332374,-0.0619988,-0.0459952,-0.0383456,-0.0089246,0.0113746,-0.0056768,-0.0639748,-0.0175312,-0.0004546,0.0130384,-0.0251532,0.0072388,0.001873,-0.0238662,0.0070668,-0.0044088,-0.0095026,0.0153074,0.0115046,0.0013602,2.46e-05,-0.0070852,-0.0017964 Caucasus:Georgian_Laz,0.1085872,0.1368936,-0.05423,-0.0564604,-0.0306518,-0.0085342,0.0089304,-0.0047078,-0.0495356,-0.0129754,0.0028904,0.009981,-0.017988,0.0041012,-0.0040446,-0.0167592,0.0126994,-0.003446,-0.0029916,0.010455,0.0063636,0.0020278,-0.0013802,-0.0086758,-0.0011016 South_Euro:Sardinian,0.1216872,0.1672855,0.0284897,-0.0506523,0.060151,-0.0221337,-0.0039523,0.0024964,0.0415743,0.077351,-5.9e-05,0.0166487,-0.0286645,-0.012974,-0.013572,-0.0030013,0.0114027,-0.0013475,0.0016798,-0.0129947,-0.0021212,-0.0011018,-0.010084,-0.021383,0.0003375 Near_East:Palestinian,0.0455292,0.134253,-0.0473285,-0.0780045,-0.0126482,-0.0297299,-0.0062276,-0.0019845,0.0167504,-0.0003096,0.0081843,-0.0096364,0.0203072,-0.0013211,-0.00095,0.0097452,-0.0020079,-0.001761,8.81e-05,0.0025387,0.0011356,0.0052801,-0.0001603,0.0023977,0.001844 Near_East:Syrian,0.0647593,0.1259791,-0.0488273,-0.060962,-0.0190156,-0.0195664,-0.0032034,-0.0024897,-0.0016685,-0.0018415,0.0023845,-0.0054188,0.0109304,0.0005794,-0.0027502,0.0051012,-0.0038155,-0.0006535,0.0020773,0.0003554,0.0015368,0.0001432,-0.0023935,-0.0007419,6.2e-06 North_African:Iberomaurusian:MAR_Taforalt:TAF014,-0.201467,0.079211,-0.018479,-0.083011,0.034468,-0.055499,-0.076848,0.014538,0.162596,0.002005,0.020461,-0.029374,0.078344,-0.054223,0.066503,-0.025192,0.017602,-0.063724,-0.151215,0.04127,-0.042176,-0.126126,0.077153,-0.014339,0.012693
Distance: 3.2757% / 0.03275694
38.0 Near_East
32.2 South_Euro
29.4 North_African
0.4 Eastern_Europe
without IBM i get:
Target: Adam_scaled
Distance: 11.9866% / 0.11986632
82.0 Near_East
18.0 South_Euro


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| Received: 3,707/14 Given: 2,889/0 |
Target: Juan_scaled
Distance: 3.7546% / 0.03754561
47.0 Westerm_Europe
39.2 South_Euro
13.8 Near_East



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| Received: 6,251/169 Given: 1,440/2 |
It's good enough to show I'm Scottish focusing on the Western European component which no other G25 calculator has been able to do so don't put yourself down :
Target: Kevin_scaled
Distance: 3.0746% / 0.03074637
93.6 Westerm_Europe
3.4 Eastern_Europe
2.6 Near_East
0.4 South_Euro


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| Received: 2,067/1 Given: 2,786/2 |
Target: mh_scaled
Distance: 1.4173% / 0.01417300
39.4 Eastern_Europe
23.4 South_Euro
21.8 Westerm_Europe
12.6 Near_East
2.8 Caucasus
Mother:
Target: cb_scaled
Distance: 2.9571% / 0.02957096
49.0 Eastern_Europe
18.8 South_Euro
16.8 Westerm_Europe
12.2 Near_East
3.2 Caucasus
this one actually works very good for me because of the clear samples. nice calculator![]()
Code:https://imgur.com/a/c7bb44m


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| Received: 18,474/37 Given: 19,155/0 |
Distance: 1.9285% / 0.01928479
56.0 Westerm_Europe
15.2 South_Euro
15.0 Caucasus
13.8 Eastern_Europe
Target: DacoCeltic_scaled
Distance: 2.0198% / 0.02019843 | ADC: 0.25x
65.2 Westerm_Europe
13.8 Caucasus
12.6 South_Euro
8.4 Eastern_Europe


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| Received: 21,703/13 Given: 27,280/0 |
Target: MrG_scaled
Distance: 1.7548% / 0.01754762
52.2 Westerm_Europe
24.2 Eastern_Europe
9.8 Near_East
9.6 South_Euro
4.2 Caucasus
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