More specifically, recall that LIBSVM trains a classifier that by default employs a CT of 0.5, thus classifying an instance as positive if and only if the probability that it belongs to the positive class is at least 0.5.
this may not be the optimal threshold to use as far as performance is concerned, especially for the minority classes, where the class distribution is skewed.