classify.m

function [accuracy, precision, recall, f1] = classify(X)

% X is a matrix with the following data:
% X(1,1) we predict that it is true, it is true - true positive
% X(1,2) we predict that it is true, it is false - false positive
% X(2,1) we predict that it is false, it is true - false negative
% X(2,2) we predict that it is false, it is false - true negative

accuracy = ( X(1,1) + X(2,2) ) / sum(sum(X))
precision = X(1,1) / ( X(1,1) + X(1,2) )
recall = X(1,1) / ( X(1,1) + X(2,1) )
f1 = (2 * precision * recall) / (precision + recall)

% ============================================================

end

Calculate accuracy, precision, recall and f1 with Octave