The output of training C-SVM is like the following. What do they mean?

optimization finished, #iter = 219 
nu = 0.431030 
obj = -100.877286, rho = 0.424632 
nSV = 132, nBSV = 107 
Total nSV = 132

obj is the optimal objective value of the dual SVM problem. rho is the bias term in the decision function sgn(w^Tx - rho). nSV and nBSV are number of support vectors and bounded support vectors (i.e., alpha_i = C). nu-svm is a somewhat equivalent form of C-SVM where C is replaced by nu. nu simply shows the corresponding parameter. More details are in libsvm document.