Neurocase

Initialization
Control data
MYR data
Saving the data
Loading the XY
RVM
function TrainTest

Initialization

clc;
clear;
close all;
iif = @(varargin) varargin{2 * find([varargin{1:2:end}], 1, 'first')}();

% Paths and software
csvFile = 'AgesVisits.csv';
nccam2Root = '/study/rinpoche/MRAnalysis/NCCAM2Data';
maskFile = sprintf('%s/MaskForBrainAGE.nii', nccam2Root);
myrRoot = '/study/rinpoche/Processed';
myr2005Root = '/study/rinpoche/2005Data/2005';

addpath(genpath('drtoolbox'));
addpath(genpath('spider'));

Warning: Function norm has the same name as a MATLAB builtin. We suggest you
rename the function to avoid a potential name conflict.

Control data

csv = table2cell(readtable(csvFile, 'Delimiter', ','));
mask = load_nifti(maskFile);
maskIdx = find(mask.vol(:) > 0);
numVoxels = length(maskIdx);

imgFiles = cellfun(@(id, visit) sprintf('%s/TimePoint%s/swmwc1o%s_%s_T1High+orig.nii', nccam2Root, visit, id, visit), csv(1:239, 1), csv(1:239, 4), 'UniformOutput', false);
gmVols = cellfun(@(img) load_nifti(img).vol, imgFiles, 'UniformOutput', false);
CtrlX = cell2mat(cellfun(@(gm) gm(maskIdx)', gmVols, 'UniformOutput', false));
CtrlY = cell2mat(csv(1:239, 5));

MYR data

MYRX = zeros(4, numVoxels);

% TP1 -- 2002
img2002 = zeros(3, numVoxels);
% Day 1
imgFile = sprintf('%s/swmwc1o_SP3_day1_orig_2002.nii', myrRoot);
img = load_nifti(imgFile);
img2002(1, :) = img.vol(maskIdx);
% Day 2
imgFile = sprintf('%s/swmwc1o_SP3_day2_orig_2002.nii', myrRoot);
img = load_nifti(imgFile);
img2002(2, :) = img.vol(maskIdx);
% Day 3
imgFile = sprintf('%s/swmwc1o_SP3_day3_orig_2002.nii', myrRoot);
img = load_nifti(imgFile);
img2002(3, :) = img.vol(maskIdx);
% Mean
MYRX(1, :) = mean(img2002, 1);

% TP2 -- 2005
img2005 = zeros(2, numVoxels);
% Day 1
imgFile = sprintf('%s/swmwc1oSP17_day1_orig.nii', myr2005Root);
img = load_nifti(imgFile);
img2005(1, :) = img.vol(maskIdx);
% Day 2
imgFile = sprintf('%s/swmwc1oSP17_day1_orig.nii', myr2005Root);
img = load_nifti(imgFile);
img2005(2, :) = img.vol(maskIdx);
% Mean
MYRX(2, :) = mean(img2005, 1);

% TP3 -- 2007
imgFile = sprintf('%s/2007/swmwc1o_EFGRE3D.nii', myrRoot);
img = load_nifti(imgFile);
MYRX(3, :) = img.vol(maskIdx);

%TP4 -- 2016
imgFile = sprintf('%s/2016/swmwc1o_MR_PU_2016.nii', myrRoot);
img = load_nifti(imgFile);
MYRX(4, :) = img.vol(maskIdx);
MYRY = [27; 30; 32; 41];

Saving the data

CtrlData = data(CtrlX, CtrlY);
MYRData = data(MYRX, MYRY);
save('ControlData.mat', 'CtrlData')
save('MYRData.mat', 'MYRData')

Loading the XY

load('ControlData.mat');
load('MYRData.mat');
global allX
global allY
allX = [CtrlData.X; MYRData.X];
allY = [CtrlData.Y; MYRData.Y];
clear ControData MYRData;
numVols = size(allX, 1);

RVM

BrainAGEExp = cell2mat(arrayfun(@(i) TrainTest(i, numVols), 1:numVols, 'UniformOutput', false)');

% Sanity check
iif(sum(allY-(BrainAGEExp(:, 2)-BrainAGEExp(:, 1))) == 0, 'OK',...
    true, 'Check again')

% Save results
BrainAGEExp = [BrainAGEExp, allY];
save('BrainAGE_Results.csv', 'BrainAGEExp', '-ascii');

function TrainTest

function [BrainAGEExp] = TrainTest(i, numVols)
tic;
global allX
global allY
% Training
trainX = allX;
trainY = allY;
trainX(i, :) = [];
trainY(i) = [];
trainD = data(trainX, trainY);
[~, trainedModel] = train(relvm_r(kernel('poly', 1)), trainD);
% Testing
testD = data(allX(i, :), allY(i));
predTest = test(trainedModel, testD);
% BrainAGE (\Delta)
BrainAGE = predTest.X - predTest.Y;
% Estimated brain age
estAge = predTest.X;
BrainAGEExp = [BrainAGE estAge];
fprintf('BrainAGE[%d/%d]=%f, EstAge[%d/%d]=%f, CA[%d/%d]=%f in %f sec.\n', i, numVols, BrainAGE,...
    i, numVols, estAge, i, numVols, allY(i), toc);
end

training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 7.34627e-05 (<0.001).
BrainAGE[1/243]=1.972236, EstAge[1/243]=67.739360, CA[1/243]=65.767123 in 13.736264 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000856808 (<0.001).
BrainAGE[2/243]=5.336689, EstAge[2/243]=51.490114, CA[2/243]=46.153425 in 13.948067 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000856304 (<0.001).
BrainAGE[3/243]=9.954807, EstAge[3/243]=37.831519, CA[3/243]=27.876712 in 14.838922 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00057051 (<0.001).
BrainAGE[4/243]=7.832807, EstAge[4/243]=36.345136, CA[4/243]=28.512329 in 15.010141 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000613934 (<0.001).
BrainAGE[5/243]=1.906070, EstAge[5/243]=27.878673, CA[5/243]=25.972603 in 14.616095 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000195165 (<0.001).
BrainAGE[6/243]=-9.448149, EstAge[6/243]=43.568289, CA[6/243]=53.016438 in 12.665865 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000200592 (<0.001).
BrainAGE[7/243]=0.417079, EstAge[7/243]=40.162285, CA[7/243]=39.745205 in 14.667144 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000377451 (<0.001).
BrainAGE[8/243]=2.644455, EstAge[8/243]=35.677332, CA[8/243]=33.032877 in 13.790542 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000358896 (<0.001).
BrainAGE[9/243]=0.944724, EstAge[9/243]=39.407738, CA[9/243]=38.463014 in 14.769712 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000121738 (<0.001).
BrainAGE[10/243]=-2.438890, EstAge[10/243]=37.262480, CA[10/243]=39.701370 in 14.790648 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000188565 (<0.001).
BrainAGE[11/243]=0.103324, EstAge[11/243]=45.662228, CA[11/243]=45.558904 in 13.928445 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000237347 (<0.001).
BrainAGE[12/243]=1.352951, EstAge[12/243]=51.237883, CA[12/243]=49.884932 in 15.219052 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000700995 (<0.001).
BrainAGE[13/243]=-0.504422, EstAge[13/243]=56.254482, CA[13/243]=56.758904 in 13.995811 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000554432 (<0.001).
BrainAGE[14/243]=1.427199, EstAge[14/243]=40.755966, CA[14/243]=39.328767 in 14.798744 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000908546 (<0.001).
BrainAGE[15/243]=4.654666, EstAge[15/243]=50.851926, CA[15/243]=46.197260 in 14.544200 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000774814 (<0.001).
BrainAGE[16/243]=-0.780503, EstAge[16/243]=49.633196, CA[16/243]=50.413699 in 13.922579 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000467768 (<0.001).
BrainAGE[17/243]=-3.311480, EstAge[17/243]=57.058383, CA[17/243]=60.369863 in 14.424501 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 7.86639e-05 (<0.001).
BrainAGE[18/243]=-0.505181, EstAge[18/243]=53.752353, CA[18/243]=54.257534 in 14.747167 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000419957 (<0.001).
BrainAGE[19/243]=-2.415429, EstAge[19/243]=31.058544, CA[19/243]=33.473973 in 14.452428 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 8.50319e-05 (<0.001).
BrainAGE[20/243]=-0.174812, EstAge[20/243]=43.485462, CA[20/243]=43.660274 in 13.380393 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000739046 (<0.001).
BrainAGE[21/243]=1.134093, EstAge[21/243]=48.380669, CA[21/243]=47.246575 in 14.406232 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00023789 (<0.001).
BrainAGE[22/243]=-1.909024, EstAge[22/243]=53.069058, CA[22/243]=54.978082 in 13.977842 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000748075 (<0.001).
BrainAGE[23/243]=-1.426319, EstAge[23/243]=60.132585, CA[23/243]=61.558904 in 14.885733 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000105177 (<0.001).
BrainAGE[24/243]=-1.233467, EstAge[24/243]=33.947355, CA[24/243]=35.180822 in 14.689979 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000861713 (<0.001).
BrainAGE[25/243]=6.466367, EstAge[25/243]=35.049928, CA[25/243]=28.583562 in 13.572356 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000703493 (<0.001).
BrainAGE[26/243]=-3.636141, EstAge[26/243]=25.610435, CA[26/243]=29.246575 in 14.580243 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 9.40972e-05 (<0.001).
BrainAGE[27/243]=0.254447, EstAge[27/243]=37.007871, CA[27/243]=36.753425 in 14.908518 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000933338 (<0.001).
BrainAGE[28/243]=16.490844, EstAge[28/243]=52.468926, CA[28/243]=35.978082 in 15.001286 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000361117 (<0.001).
BrainAGE[29/243]=5.538627, EstAge[29/243]=32.031778, CA[29/243]=26.493151 in 12.788902 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000256351 (<0.001).
BrainAGE[30/243]=0.336869, EstAge[30/243]=55.769746, CA[30/243]=55.432877 in 16.045052 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 6.38788e-05 (<0.001).
BrainAGE[31/243]=0.739569, EstAge[31/243]=32.402582, CA[31/243]=31.663014 in 14.867547 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000184587 (<0.001).
BrainAGE[32/243]=-0.362183, EstAge[32/243]=53.854255, CA[32/243]=54.216438 in 14.796471 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00095512 (<0.001).
BrainAGE[33/243]=-2.133942, EstAge[33/243]=46.378387, CA[33/243]=48.512329 in 15.622022 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000294109 (<0.001).
BrainAGE[34/243]=-0.592644, EstAge[34/243]=47.648452, CA[34/243]=48.241096 in 13.358285 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 4.38589e-05 (<0.001).
BrainAGE[35/243]=-0.341249, EstAge[35/243]=27.645052, CA[35/243]=27.986301 in 14.865033 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00014637 (<0.001).
BrainAGE[36/243]=1.098279, EstAge[36/243]=40.659923, CA[36/243]=39.561644 in 14.790880 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 4.63494e-05 (<0.001).
BrainAGE[37/243]=3.527347, EstAge[37/243]=39.382142, CA[37/243]=35.854795 in 14.634041 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000103651 (<0.001).
BrainAGE[38/243]=-0.254908, EstAge[38/243]=54.443722, CA[38/243]=54.698630 in 13.116411 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000139361 (<0.001).
BrainAGE[39/243]=-0.176956, EstAge[39/243]=47.581948, CA[39/243]=47.758904 in 14.762237 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.93918e-05 (<0.001).
BrainAGE[40/243]=-1.713547, EstAge[40/243]=57.535768, CA[40/243]=59.249315 in 13.179600 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 4.54563e-05 (<0.001).
BrainAGE[41/243]=-0.933852, EstAge[41/243]=48.477106, CA[41/243]=49.410959 in 15.194260 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000109815 (<0.001).
BrainAGE[42/243]=-5.757804, EstAge[42/243]=42.455894, CA[42/243]=48.213699 in 13.795630 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000405633 (<0.001).
BrainAGE[43/243]=-2.810602, EstAge[43/243]=56.025014, CA[43/243]=58.835616 in 12.637949 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000590912 (<0.001).
BrainAGE[44/243]=-1.578648, EstAge[44/243]=49.698065, CA[44/243]=51.276712 in 14.879817 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000229902 (<0.001).
BrainAGE[45/243]=-14.351200, EstAge[45/243]=48.889896, CA[45/243]=63.241096 in 13.172665 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000996955 (<0.001).
BrainAGE[46/243]=2.669002, EstAge[46/243]=52.058043, CA[46/243]=49.389041 in 14.215314 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000760087 (<0.001).
BrainAGE[47/243]=-1.571603, EstAge[47/243]=44.000999, CA[47/243]=45.572603 in 14.949352 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 4.62391e-05 (<0.001).
BrainAGE[48/243]=3.706972, EstAge[48/243]=30.569986, CA[48/243]=26.863014 in 14.588308 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000231119 (<0.001).
BrainAGE[49/243]=-0.229060, EstAge[49/243]=43.957242, CA[49/243]=44.186301 in 14.946195 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00033252 (<0.001).
BrainAGE[50/243]=0.553587, EstAge[50/243]=33.068656, CA[50/243]=32.515068 in 15.035340 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000570448 (<0.001).
BrainAGE[51/243]=2.080627, EstAge[51/243]=45.872408, CA[51/243]=43.791781 in 14.783464 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 6.99544e-05 (<0.001).
BrainAGE[52/243]=-8.933745, EstAge[52/243]=50.926529, CA[52/243]=59.860274 in 14.498613 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000913119 (<0.001).
BrainAGE[53/243]=2.109741, EstAge[53/243]=61.800152, CA[53/243]=59.690411 in 13.229943 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000183965 (<0.001).
BrainAGE[54/243]=-4.525908, EstAge[54/243]=51.871352, CA[54/243]=56.397260 in 14.738688 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000296639 (<0.001).
BrainAGE[55/243]=-7.775303, EstAge[55/243]=44.232916, CA[55/243]=52.008219 in 14.450368 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000234719 (<0.001).
BrainAGE[56/243]=-0.203068, EstAge[56/243]=53.429809, CA[56/243]=53.632877 in 12.813282 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000518636 (<0.001).
BrainAGE[57/243]=-0.035980, EstAge[57/243]=56.347581, CA[57/243]=56.383562 in 13.753258 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000415305 (<0.001).
BrainAGE[58/243]=-1.210676, EstAge[58/243]=57.559187, CA[58/243]=58.769863 in 14.806876 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00099028 (<0.001).
BrainAGE[59/243]=-0.897118, EstAge[59/243]=35.168636, CA[59/243]=36.065753 in 13.132839 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000806956 (<0.001).
BrainAGE[60/243]=-3.369209, EstAge[60/243]=56.411613, CA[60/243]=59.780822 in 14.725936 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000806834 (<0.001).
BrainAGE[61/243]=4.668813, EstAge[61/243]=55.953745, CA[61/243]=51.284932 in 15.155011 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.02246e-05 (<0.001).
BrainAGE[62/243]=1.560705, EstAge[62/243]=53.111390, CA[62/243]=51.550685 in 14.847280 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000149168 (<0.001).
BrainAGE[63/243]=-1.143567, EstAge[63/243]=51.516707, CA[63/243]=52.660274 in 13.812205 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000769656 (<0.001).
BrainAGE[64/243]=0.609941, EstAge[64/243]=36.297612, CA[64/243]=35.687671 in 12.075694 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000335547 (<0.001).
BrainAGE[65/243]=-1.814758, EstAge[65/243]=62.714009, CA[65/243]=64.528767 in 13.015178 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 2.34221e-05 (<0.001).
BrainAGE[66/243]=-0.658562, EstAge[66/243]=62.845548, CA[66/243]=63.504110 in 12.967757 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000591555 (<0.001).
BrainAGE[67/243]=0.781428, EstAge[67/243]=48.236222, CA[67/243]=47.454795 in 14.486225 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000300996 (<0.001).
BrainAGE[68/243]=-0.010723, EstAge[68/243]=42.085168, CA[68/243]=42.095890 in 14.469707 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000990087 (<0.001).
BrainAGE[69/243]=-4.308262, EstAge[69/243]=55.683519, CA[69/243]=59.991781 in 13.246782 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000855381 (<0.001).
BrainAGE[70/243]=-3.233079, EstAge[70/243]=60.923085, CA[70/243]=64.156164 in 14.849730 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000193732 (<0.001).
BrainAGE[71/243]=-3.486525, EstAge[71/243]=56.806626, CA[71/243]=60.293151 in 14.621428 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000296041 (<0.001).
BrainAGE[72/243]=0.666410, EstAge[72/243]=58.721205, CA[72/243]=58.054795 in 16.294477 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000236595 (<0.001).
BrainAGE[73/243]=-0.315978, EstAge[73/243]=43.464844, CA[73/243]=43.780822 in 14.555080 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 9.88403e-05 (<0.001).
BrainAGE[74/243]=1.068985, EstAge[74/243]=43.414191, CA[74/243]=42.345205 in 13.309647 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000526894 (<0.001).
BrainAGE[75/243]=-1.774570, EstAge[75/243]=32.156937, CA[75/243]=33.931507 in 15.826521 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 4.48261e-05 (<0.001).
BrainAGE[76/243]=0.147490, EstAge[76/243]=46.035161, CA[76/243]=45.887671 in 14.736567 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 9.71994e-05 (<0.001).
BrainAGE[77/243]=0.790400, EstAge[77/243]=48.275332, CA[77/243]=47.484932 in 12.386463 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 9.90118e-05 (<0.001).
BrainAGE[78/243]=0.228095, EstAge[78/243]=29.871931, CA[78/243]=29.643836 in 14.186400 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00024221 (<0.001).
BrainAGE[79/243]=4.335686, EstAge[79/243]=44.239795, CA[79/243]=39.904110 in 14.432858 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000278621 (<0.001).
BrainAGE[80/243]=-1.349674, EstAge[80/243]=63.348957, CA[80/243]=64.698630 in 13.090664 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000621259 (<0.001).
BrainAGE[81/243]=-4.088158, EstAge[81/243]=56.574856, CA[81/243]=60.663014 in 14.556182 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.44542e-05 (<0.001).
BrainAGE[82/243]=1.272895, EstAge[82/243]=45.952347, CA[82/243]=44.679452 in 12.956040 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 8.68857e-05 (<0.001).
BrainAGE[83/243]=5.660477, EstAge[83/243]=61.882395, CA[83/243]=56.221918 in 14.759994 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 8.43734e-05 (<0.001).
BrainAGE[84/243]=0.775976, EstAge[84/243]=40.732141, CA[84/243]=39.956164 in 15.663476 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000227721 (<0.001).
BrainAGE[85/243]=-1.731224, EstAge[85/243]=45.331789, CA[85/243]=47.063014 in 15.229149 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000842419 (<0.001).
BrainAGE[86/243]=-1.151838, EstAge[86/243]=60.376929, CA[86/243]=61.528767 in 15.309656 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00041128 (<0.001).
BrainAGE[87/243]=-9.539842, EstAge[87/243]=56.460158, CA[87/243]=66.000000 in 14.453098 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000952414 (<0.001).
BrainAGE[88/243]=-3.212001, EstAge[88/243]=59.930465, CA[88/243]=63.142466 in 14.447123 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000175376 (<0.001).
BrainAGE[89/243]=-1.675272, EstAge[89/243]=61.258974, CA[89/243]=62.934247 in 13.265988 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000549992 (<0.001).
BrainAGE[90/243]=1.538401, EstAge[90/243]=57.384976, CA[90/243]=55.846575 in 14.728729 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000297578 (<0.001).
BrainAGE[91/243]=-3.812129, EstAge[91/243]=47.941295, CA[91/243]=51.753425 in 14.282506 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00010092 (<0.001).
BrainAGE[92/243]=2.609228, EstAge[92/243]=53.381831, CA[92/243]=50.772603 in 15.562879 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000339106 (<0.001).
BrainAGE[93/243]=-3.420353, EstAge[93/243]=60.385127, CA[93/243]=63.805479 in 14.974034 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 9.54565e-05 (<0.001).
BrainAGE[94/243]=-4.800315, EstAge[94/243]=60.495575, CA[94/243]=65.295890 in 14.340281 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000988726 (<0.001).
BrainAGE[95/243]=-5.490668, EstAge[95/243]=50.892894, CA[95/243]=56.383562 in 14.011567 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000113649 (<0.001).
BrainAGE[96/243]=0.156832, EstAge[96/243]=51.814367, CA[96/243]=51.657534 in 13.648142 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000167569 (<0.001).
BrainAGE[97/243]=-0.854894, EstAge[97/243]=52.106749, CA[97/243]=52.961644 in 14.730684 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000351448 (<0.001).
BrainAGE[98/243]=-3.959062, EstAge[98/243]=56.629979, CA[98/243]=60.589041 in 13.280562 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000265194 (<0.001).
BrainAGE[99/243]=-0.452392, EstAge[99/243]=50.490074, CA[99/243]=50.942466 in 14.448312 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000600181 (<0.001).
BrainAGE[100/243]=-0.787713, EstAge[100/243]=53.198588, CA[100/243]=53.986301 in 12.996345 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 6.3644e-05 (<0.001).
BrainAGE[101/243]=-1.802692, EstAge[101/243]=58.137035, CA[101/243]=59.939726 in 13.965745 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00099654 (<0.001).
BrainAGE[102/243]=2.273945, EstAge[102/243]=44.057506, CA[102/243]=41.783562 in 15.676173 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.34603e-05 (<0.001).
BrainAGE[103/243]=1.581871, EstAge[103/243]=56.924336, CA[103/243]=55.342466 in 14.072501 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000237959 (<0.001).
BrainAGE[104/243]=0.642545, EstAge[104/243]=47.250764, CA[104/243]=46.608219 in 15.689924 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.87843e-05 (<0.001).
BrainAGE[105/243]=4.474806, EstAge[105/243]=51.781655, CA[105/243]=47.306849 in 15.931628 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000659417 (<0.001).
BrainAGE[106/243]=-8.415719, EstAge[106/243]=57.699350, CA[106/243]=66.115068 in 13.396721 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 4.5715e-05 (<0.001).
BrainAGE[107/243]=2.448290, EstAge[107/243]=48.889386, CA[107/243]=46.441096 in 14.140167 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000589951 (<0.001).
BrainAGE[108/243]=3.655344, EstAge[108/243]=31.858084, CA[108/243]=28.202740 in 15.058694 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 5.60131e-05 (<0.001).
BrainAGE[109/243]=1.988365, EstAge[109/243]=30.854119, CA[109/243]=28.865753 in 14.915502 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000604362 (<0.001).
BrainAGE[110/243]=4.156904, EstAge[110/243]=30.321288, CA[110/243]=26.164384 in 13.153973 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 7.65993e-05 (<0.001).
BrainAGE[111/243]=-5.145404, EstAge[111/243]=48.273774, CA[111/243]=53.419178 in 14.762676 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.62669e-05 (<0.001).
BrainAGE[112/243]=-2.101409, EstAge[112/243]=37.873933, CA[112/243]=39.975342 in 14.937639 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000305265 (<0.001).
BrainAGE[113/243]=3.060478, EstAge[113/243]=36.493355, CA[113/243]=33.432877 in 14.239115 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000170844 (<0.001).
BrainAGE[114/243]=-0.560607, EstAge[114/243]=38.277749, CA[114/243]=38.838356 in 13.193086 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000616291 (<0.001).
BrainAGE[115/243]=3.254937, EstAge[115/243]=43.359046, CA[115/243]=40.104110 in 14.813705 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000423956 (<0.001).
BrainAGE[116/243]=-5.949148, EstAge[116/243]=39.839893, CA[116/243]=45.789041 in 14.614742 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000187621 (<0.001).
BrainAGE[117/243]=-0.334327, EstAge[117/243]=49.876631, CA[117/243]=50.210959 in 12.771804 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00012018 (<0.001).
BrainAGE[118/243]=-0.510474, EstAge[118/243]=56.631991, CA[118/243]=57.142466 in 13.099420 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00051237 (<0.001).
BrainAGE[119/243]=2.386294, EstAge[119/243]=42.041089, CA[119/243]=39.654795 in 13.756572 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000394436 (<0.001).
BrainAGE[120/243]=-3.044125, EstAge[120/243]=43.405190, CA[120/243]=46.449315 in 14.825329 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00019669 (<0.001).
BrainAGE[121/243]=1.571034, EstAge[121/243]=52.395691, CA[121/243]=50.824658 in 13.841741 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000380798 (<0.001).
BrainAGE[122/243]=0.022368, EstAge[122/243]=60.608669, CA[122/243]=60.586301 in 14.606525 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 7.60143e-05 (<0.001).
BrainAGE[123/243]=-5.656401, EstAge[123/243]=48.907983, CA[123/243]=54.564384 in 14.971596 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00079534 (<0.001).
BrainAGE[124/243]=5.319427, EstAge[124/243]=38.985181, CA[124/243]=33.665753 in 13.539393 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 9.63325e-05 (<0.001).
BrainAGE[125/243]=0.413982, EstAge[125/243]=44.411242, CA[125/243]=43.997260 in 15.255407 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 5.36571e-05 (<0.001).
BrainAGE[126/243]=-1.498416, EstAge[126/243]=46.065967, CA[126/243]=47.564384 in 15.983420 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000427817 (<0.001).
BrainAGE[127/243]=0.688203, EstAge[127/243]=55.992313, CA[127/243]=55.304110 in 14.968076 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 9.57774e-05 (<0.001).
BrainAGE[128/243]=1.402647, EstAge[128/243]=63.314975, CA[128/243]=61.912329 in 13.820786 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 7.51052e-05 (<0.001).
BrainAGE[129/243]=1.745197, EstAge[129/243]=37.213690, CA[129/243]=35.468493 in 14.574911 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000830042 (<0.001).
BrainAGE[130/243]=2.447200, EstAge[130/243]=31.288296, CA[130/243]=28.841096 in 13.245654 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000205117 (<0.001).
BrainAGE[131/243]=3.935618, EstAge[131/243]=33.582193, CA[131/243]=29.646575 in 13.037730 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000930859 (<0.001).
BrainAGE[132/243]=3.774366, EstAge[132/243]=40.826421, CA[132/243]=37.052055 in 12.824863 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000328025 (<0.001).
BrainAGE[133/243]=-12.261709, EstAge[133/243]=23.919113, CA[133/243]=36.180822 in 13.689545 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000376616 (<0.001).
BrainAGE[134/243]=3.564911, EstAge[134/243]=30.375870, CA[134/243]=26.810959 in 14.293502 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 4.60401e-05 (<0.001).
BrainAGE[135/243]=0.385907, EstAge[135/243]=56.133852, CA[135/243]=55.747945 in 12.714661 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00048205 (<0.001).
BrainAGE[136/243]=5.052255, EstAge[136/243]=36.945406, CA[136/243]=31.893151 in 12.632114 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000937579 (<0.001).
BrainAGE[137/243]=-0.980116, EstAge[137/243]=53.523993, CA[137/243]=54.504110 in 13.398029 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00012151 (<0.001).
BrainAGE[138/243]=-0.660593, EstAge[138/243]=48.216120, CA[138/243]=48.876712 in 14.955448 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.93575e-05 (<0.001).
BrainAGE[139/243]=-0.703604, EstAge[139/243]=47.959410, CA[139/243]=48.663014 in 13.276968 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000580734 (<0.001).
BrainAGE[140/243]=2.520558, EstAge[140/243]=30.893161, CA[140/243]=28.372603 in 13.787465 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 8.66176e-05 (<0.001).
BrainAGE[141/243]=0.976732, EstAge[141/243]=40.954814, CA[141/243]=39.978082 in 13.145653 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000140062 (<0.001).
BrainAGE[142/243]=0.972765, EstAge[142/243]=37.383724, CA[142/243]=36.410959 in 16.068314 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000561045 (<0.001).
BrainAGE[143/243]=-0.894740, EstAge[143/243]=54.244986, CA[143/243]=55.139726 in 14.391861 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000107603 (<0.001).
BrainAGE[144/243]=-0.437984, EstAge[144/243]=47.819550, CA[144/243]=48.257534 in 14.922405 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000132222 (<0.001).
BrainAGE[145/243]=0.472317, EstAge[145/243]=60.105194, CA[145/243]=59.632877 in 13.295520 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000134212 (<0.001).
BrainAGE[146/243]=0.614544, EstAge[146/243]=50.447421, CA[146/243]=49.832877 in 14.888676 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000219633 (<0.001).
BrainAGE[147/243]=4.739917, EstAge[147/243]=53.317999, CA[147/243]=48.578082 in 15.172788 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.69718e-05 (<0.001).
BrainAGE[148/243]=0.751655, EstAge[148/243]=60.124258, CA[148/243]=59.372603 in 14.993491 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000988915 (<0.001).
BrainAGE[149/243]=2.467717, EstAge[149/243]=54.108813, CA[149/243]=51.641096 in 15.182479 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000458264 (<0.001).
BrainAGE[150/243]=-14.669794, EstAge[150/243]=48.908288, CA[150/243]=63.578082 in 14.903298 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 1.99045e-05 (<0.001).
BrainAGE[151/243]=-0.284567, EstAge[151/243]=49.564749, CA[151/243]=49.849315 in 14.717378 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000955835 (<0.001).
BrainAGE[152/243]=-0.982844, EstAge[152/243]=44.954143, CA[152/243]=45.936986 in 14.805897 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000169696 (<0.001).
BrainAGE[153/243]=-1.914678, EstAge[153/243]=25.351075, CA[153/243]=27.265753 in 14.757508 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 2.35263e-05 (<0.001).
BrainAGE[154/243]=0.622759, EstAge[154/243]=45.096731, CA[154/243]=44.473973 in 13.494372 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 5.37391e-05 (<0.001).
BrainAGE[155/243]=2.427626, EstAge[155/243]=35.285160, CA[155/243]=32.857534 in 14.741524 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000171979 (<0.001).
BrainAGE[156/243]=-0.243914, EstAge[156/243]=43.980743, CA[156/243]=44.224658 in 13.300415 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000112356 (<0.001).
BrainAGE[157/243]=-1.876315, EstAge[157/243]=58.025055, CA[157/243]=59.901370 in 15.170403 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000335953 (<0.001).
BrainAGE[158/243]=1.244549, EstAge[158/243]=57.888384, CA[158/243]=56.643836 in 13.255209 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000364242 (<0.001).
BrainAGE[159/243]=6.204307, EstAge[159/243]=58.549513, CA[159/243]=52.345205 in 14.912321 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000268956 (<0.001).
BrainAGE[160/243]=-1.521082, EstAge[160/243]=52.426863, CA[160/243]=53.947945 in 14.963969 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000532967 (<0.001).
BrainAGE[161/243]=0.348376, EstAge[161/243]=57.077143, CA[161/243]=56.728767 in 14.518333 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000105934 (<0.001).
BrainAGE[162/243]=0.263963, EstAge[162/243]=59.532456, CA[162/243]=59.268493 in 12.736495 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000344384 (<0.001).
BrainAGE[163/243]=2.234135, EstAge[163/243]=38.672491, CA[163/243]=36.438356 in 14.888583 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000149008 (<0.001).
BrainAGE[164/243]=0.186998, EstAge[164/243]=60.351382, CA[164/243]=60.164384 in 13.520683 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000847148 (<0.001).
BrainAGE[165/243]=-4.787204, EstAge[165/243]=46.727864, CA[165/243]=51.515068 in 14.498122 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 8.4222e-05 (<0.001).
BrainAGE[166/243]=-3.098310, EstAge[166/243]=48.778402, CA[166/243]=51.876712 in 13.350293 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000198368 (<0.001).
BrainAGE[167/243]=-1.589713, EstAge[167/243]=51.377410, CA[167/243]=52.967123 in 14.778838 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000907876 (<0.001).
BrainAGE[168/243]=3.888661, EstAge[168/243]=39.825647, CA[168/243]=35.936986 in 13.581929 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 7.07517e-05 (<0.001).
BrainAGE[169/243]=-2.594531, EstAge[169/243]=62.276702, CA[169/243]=64.871233 in 14.697600 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000971951 (<0.001).
BrainAGE[170/243]=-0.150252, EstAge[170/243]=63.652488, CA[170/243]=63.802740 in 15.008596 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000804648 (<0.001).
BrainAGE[171/243]=1.001477, EstAge[171/243]=48.790518, CA[171/243]=47.789041 in 13.273583 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000839978 (<0.001).
BrainAGE[172/243]=1.213518, EstAge[172/243]=43.903929, CA[172/243]=42.690411 in 14.362054 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000299217 (<0.001).
BrainAGE[173/243]=2.675075, EstAge[173/243]=63.318911, CA[173/243]=60.643836 in 13.085344 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000727493 (<0.001).
BrainAGE[174/243]=-1.610757, EstAge[174/243]=62.948147, CA[174/243]=64.558904 in 13.471129 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000154488 (<0.001).
BrainAGE[175/243]=-5.670415, EstAge[175/243]=55.025475, CA[175/243]=60.695890 in 13.967911 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000121345 (<0.001).
BrainAGE[176/243]=-1.138953, EstAge[176/243]=57.356937, CA[176/243]=58.495890 in 13.340120 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 8.04706e-05 (<0.001).
BrainAGE[177/243]=-0.176820, EstAge[177/243]=44.006741, CA[177/243]=44.183562 in 12.729961 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000119986 (<0.001).
BrainAGE[178/243]=0.495165, EstAge[178/243]=43.289686, CA[178/243]=42.794521 in 14.232138 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000959568 (<0.001).
BrainAGE[179/243]=4.283891, EstAge[179/243]=38.560604, CA[179/243]=34.276712 in 13.780857 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000693387 (<0.001).
BrainAGE[180/243]=1.097216, EstAge[180/243]=47.275298, CA[180/243]=46.178082 in 12.954614 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000310789 (<0.001).
BrainAGE[181/243]=-0.865822, EstAge[181/243]=46.871164, CA[181/243]=47.736986 in 15.430516 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00025375 (<0.001).
BrainAGE[182/243]=6.904034, EstAge[182/243]=36.816363, CA[182/243]=29.912329 in 14.707962 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 7.43348e-05 (<0.001).
BrainAGE[183/243]=4.731025, EstAge[183/243]=45.125546, CA[183/243]=40.394521 in 14.056325 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000218133 (<0.001).
BrainAGE[184/243]=-5.283486, EstAge[184/243]=59.738432, CA[184/243]=65.021918 in 15.467629 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 6.94619e-05 (<0.001).
BrainAGE[185/243]=-1.076894, EstAge[185/243]=59.988860, CA[185/243]=61.065753 in 13.259611 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.71266e-05 (<0.001).
BrainAGE[186/243]=-2.065279, EstAge[186/243]=43.036091, CA[186/243]=45.101370 in 14.114344 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000923151 (<0.001).
BrainAGE[187/243]=-7.364250, EstAge[187/243]=49.276846, CA[187/243]=56.641096 in 15.203518 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.62701e-05 (<0.001).
BrainAGE[188/243]=1.064406, EstAge[188/243]=41.401392, CA[188/243]=40.336986 in 13.614351 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000125498 (<0.001).
BrainAGE[189/243]=1.149888, EstAge[189/243]=48.585505, CA[189/243]=47.435616 in 14.027936 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000892901 (<0.001).
BrainAGE[190/243]=-7.137617, EstAge[190/243]=54.758274, CA[190/243]=61.895890 in 15.140386 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000353391 (<0.001).
BrainAGE[191/243]=-8.715573, EstAge[191/243]=57.706344, CA[191/243]=66.421918 in 13.011781 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000301027 (<0.001).
BrainAGE[192/243]=-1.399697, EstAge[192/243]=62.260577, CA[192/243]=63.660274 in 13.157022 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000503605 (<0.001).
BrainAGE[193/243]=-7.406148, EstAge[193/243]=55.988373, CA[193/243]=63.394521 in 13.159034 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000341343 (<0.001).
BrainAGE[194/243]=-3.353955, EstAge[194/243]=52.799470, CA[194/243]=56.153425 in 14.106749 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000710962 (<0.001).
BrainAGE[195/243]=-6.917617, EstAge[195/243]=45.161835, CA[195/243]=52.079452 in 14.959626 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 9.88563e-05 (<0.001).
BrainAGE[196/243]=0.700928, EstAge[196/243]=51.837914, CA[196/243]=51.136986 in 13.536016 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000471279 (<0.001).
BrainAGE[197/243]=-2.315827, EstAge[197/243]=61.873214, CA[197/243]=64.189041 in 14.564489 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 7.10092e-05 (<0.001).
BrainAGE[198/243]=-0.485020, EstAge[198/243]=65.232789, CA[198/243]=65.717808 in 14.942226 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000773004 (<0.001).
BrainAGE[199/243]=-5.008531, EstAge[199/243]=51.681880, CA[199/243]=56.690411 in 15.047778 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000917488 (<0.001).
BrainAGE[200/243]=-0.621441, EstAge[200/243]=51.296367, CA[200/243]=51.917808 in 13.143649 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000764578 (<0.001).
BrainAGE[201/243]=-0.233798, EstAge[201/243]=53.226476, CA[201/243]=53.460274 in 14.034882 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000235063 (<0.001).
BrainAGE[202/243]=-2.384047, EstAge[202/243]=58.607734, CA[202/243]=60.991781 in 13.190690 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000635291 (<0.001).
BrainAGE[203/243]=-5.041815, EstAge[203/243]=46.254075, CA[203/243]=51.295890 in 14.600933 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000330752 (<0.001).
BrainAGE[204/243]=0.301746, EstAge[204/243]=54.641472, CA[204/243]=54.339726 in 13.095727 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 8.27668e-05 (<0.001).
BrainAGE[205/243]=-3.826610, EstAge[205/243]=56.592568, CA[205/243]=60.419178 in 15.022122 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000240018 (<0.001).
BrainAGE[206/243]=2.326227, EstAge[206/243]=44.427597, CA[206/243]=42.101370 in 15.053481 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 4.57864e-05 (<0.001).
BrainAGE[207/243]=-2.399379, EstAge[207/243]=53.112949, CA[207/243]=55.512329 in 13.181989 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000857885 (<0.001).
BrainAGE[208/243]=-3.030133, EstAge[208/243]=43.876716, CA[208/243]=46.906849 in 14.449583 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000989223 (<0.001).
BrainAGE[209/243]=0.705768, EstAge[209/243]=48.308508, CA[209/243]=47.602740 in 14.606136 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000442617 (<0.001).
BrainAGE[210/243]=3.956171, EstAge[210/243]=44.315075, CA[210/243]=40.358904 in 15.032877 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000185935 (<0.001).
BrainAGE[211/243]=-2.072007, EstAge[211/243]=48.495116, CA[211/243]=50.567123 in 13.244216 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000204036 (<0.001).
BrainAGE[212/243]=2.150537, EstAge[212/243]=48.925880, CA[212/243]=46.775342 in 10.711007 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000209101 (<0.001).
BrainAGE[213/243]=-0.479056, EstAge[213/243]=50.699026, CA[213/243]=51.178082 in 14.280293 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000111674 (<0.001).
BrainAGE[214/243]=5.196157, EstAge[214/243]=39.264651, CA[214/243]=34.068493 in 12.164338 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000590669 (<0.001).
BrainAGE[215/243]=-1.129783, EstAge[215/243]=61.051039, CA[215/243]=62.180822 in 14.755490 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00010932 (<0.001).
BrainAGE[216/243]=-0.797471, EstAge[216/243]=28.388830, CA[216/243]=29.186301 in 14.907811 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000238789 (<0.001).
BrainAGE[217/243]=0.706999, EstAge[217/243]=38.027547, CA[217/243]=37.320548 in 13.421809 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000429248 (<0.001).
BrainAGE[218/243]=-0.664708, EstAge[218/243]=55.409265, CA[218/243]=56.073973 in 14.836086 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 5.02346e-05 (<0.001).
BrainAGE[219/243]=0.555420, EstAge[219/243]=49.533503, CA[219/243]=48.978082 in 13.245751 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000109056 (<0.001).
BrainAGE[220/243]=5.403046, EstAge[220/243]=45.783868, CA[220/243]=40.380822 in 14.724788 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000249502 (<0.001).
BrainAGE[221/243]=10.810647, EstAge[221/243]=47.566811, CA[221/243]=36.756164 in 15.046248 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000140795 (<0.001).
BrainAGE[222/243]=-3.802359, EstAge[222/243]=51.720929, CA[222/243]=55.523288 in 15.275533 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000303879 (<0.001).
BrainAGE[223/243]=-2.199400, EstAge[223/243]=46.422518, CA[223/243]=48.621918 in 12.324618 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000288503 (<0.001).
BrainAGE[224/243]=8.000618, EstAge[224/243]=41.225275, CA[224/243]=33.224658 in 15.400514 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00016079 (<0.001).
BrainAGE[225/243]=-8.802726, EstAge[225/243]=51.728781, CA[225/243]=60.531507 in 14.361862 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000495834 (<0.001).
BrainAGE[226/243]=-2.418128, EstAge[226/243]=54.458584, CA[226/243]=56.876712 in 14.759966 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 3.08794e-05 (<0.001).
BrainAGE[227/243]=0.633282, EstAge[227/243]=52.567529, CA[227/243]=51.934247 in 13.404859 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000830025 (<0.001).
BrainAGE[228/243]=3.488795, EstAge[228/243]=56.724411, CA[228/243]=53.235616 in 14.961273 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.00034093 (<0.001).
BrainAGE[229/243]=0.288467, EstAge[229/243]=64.417234, CA[229/243]=64.128767 in 13.023967 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000165985 (<0.001).
BrainAGE[230/243]=-2.061329, EstAge[230/243]=40.801684, CA[230/243]=42.863014 in 14.592776 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000847429 (<0.001).
BrainAGE[231/243]=-3.047148, EstAge[231/243]=55.717235, CA[231/243]=58.764384 in 14.242103 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000926109 (<0.001).
BrainAGE[232/243]=-0.710042, EstAge[232/243]=61.454342, CA[232/243]=62.164384 in 14.947066 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000393035 (<0.001).
BrainAGE[233/243]=-1.933246, EstAge[233/243]=54.546206, CA[233/243]=56.479452 in 14.112100 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000210119 (<0.001).
BrainAGE[234/243]=0.132736, EstAge[234/243]=51.557393, CA[234/243]=51.424658 in 14.853185 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000165994 (<0.001).
BrainAGE[235/243]=1.330316, EstAge[235/243]=67.275522, CA[235/243]=65.945205 in 12.870837 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000230567 (<0.001).
BrainAGE[236/243]=-1.980133, EstAge[236/243]=50.291100, CA[236/243]=52.271233 in 14.456068 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000107582 (<0.001).
BrainAGE[237/243]=3.828452, EstAge[237/243]=57.450370, CA[237/243]=53.621918 in 14.403758 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000205326 (<0.001).
BrainAGE[238/243]=1.273510, EstAge[238/243]=62.476250, CA[238/243]=61.202740 in 15.088397 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 6.19341e-05 (<0.001).
BrainAGE[239/243]=-1.946608, EstAge[239/243]=40.461611, CA[239/243]=42.408219 in 13.201857 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000166539 (<0.001).
BrainAGE[240/243]=5.251879, EstAge[240/243]=32.251879, CA[240/243]=27.000000 in 14.818565 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000100379 (<0.001).
BrainAGE[241/243]=-1.809527, EstAge[241/243]=28.190473, CA[241/243]=30.000000 in 13.239284 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000618591 (<0.001).
BrainAGE[242/243]=3.572815, EstAge[242/243]=35.572815, CA[242/243]=32.000000 in 14.691788 sec.
training relvm_r kernel poly=1.... 
Terminating: max log(alpha) change is 0.000235164 (<0.001).
BrainAGE[243/243]=-5.079924, EstAge[243/243]=35.920076, CA[243/243]=41.000000 in 15.081305 sec.

ans =

    'OK'

Contents

Initialization

Control data

MYR data

Saving the data

Loading the XY

RVM

function TrainTest