function out=legTrackerPlausScore(confMat)
%legTrackerPlausScore determines the unbalanced accuracy of a behavioral
%confusion matrix (e.g. Figs 2c,e), ignoring errors in "plausibly confused"
%behavioral comparisons, such as complex motion vs forward/backward
%running, or stasis vs postural adjustments.
%Usage:
%out=legTrackerPlausScore(confMat)
%confMat=12x12 behavioral classification confusion matrix, with rows and cols
%     ordered as in Figures 2c,e.

%intialize var for number of plausible categorizations
temp=0;

%add up plausibly confused behavioral pairs
temp=temp+sum(confMat(1,1:2));
temp=temp+sum(confMat(2,1:6));
temp=temp+sum(confMat(3,[2 3 6]));
temp=temp+sum(confMat(4,[2 4 6]));
temp=temp+sum(confMat(5,[2 5 6]));
temp=temp+sum(confMat(6,2:6));
temp=temp+sum(confMat(7,7:8));
temp=temp+sum(confMat(8,7:8));
temp=temp+sum(confMat(9,9));
temp=temp+sum(confMat(10,10:11));
temp=temp+sum(confMat(11,10:11));
temp=temp+sum(confMat(12,12));

%calculate unbalanced accuracy
out=temp/sum(sum(confMat));