In this report, gender classification models were constructed by two approaches. One was volume-based classification and the other was image-based classification. For volume-based approach, best set of volume features was found. What's more, best model selections of both approaches were explored as well. In the end, two approaches were compared and it was suggested that image-based classification was a better method.