My imagesc plot seems to be inverted

Below is my code. and the attached plot .

Mloops = [1,10:10:90];
Missing=10:10:90;
for e = 1:length(Mloops)
    eta =Mloops(e);     
    for i=1:length(Missing)
        mv= Missing(i);
        
        load( ['res/res_',int2str(eta),'_',int2str(mv),'.mat'] ,'RRE_NeA');
        
         sumRRE(i) = mean( RRE_NeA(RRE_NeA< 1e-5));
  
    end  
    RRE(:,e) = sumRRE;
    clear summRRE;  
end
eta = [1,10:10:90];
mv = [10:10:90];
imagesc(eta, mv,RRE); colorbar()
set(gca, 'YDir','normal')
xlabel('Maxloops'); ylabel(' MV ');

I expect to have a better error for Maxloops values > 30 ish. but it seems to me, its the inverse it is showing. my raw values shows that my results are correct but the plot doesnt.

[Rik]

It is a bit difficult to judge, but this plot seems to match your expectations. Why do you think imagesc has inverted anything?

[fadams18]

because im expecting more bright yellow for Maxloop values > 50 and MV<30 for example. So ideally the bottom right corner should not be blue (high error)

[Rik]

The blue values are low, as indicated by the colorbar. Are the values not the error but some kind of cost?

[fadams18]

Its the relative reconstruction error. im doing some low rank approximations. So a high error means low value. so it should be around the blue. if the value is very small. meaning the error is low. so it should be around the yellow. and my experiment is such that, for high values of the eta( x-axis) and low values of MV (y-axis) I expect the error to become very low hence orange-yellow colors.

[Rik]

Well, since you didn't post your data (looks like a 10x10 array), I can't really look at the numbers alongside the plot itself.