Internet Addiction Disorder (IAD) is one of the most widely social problems among the young college students. This study tried to predict young people usage of internet and addicted people toward the utilization of internet. In this paper, the overview of internet addiction disorder is evaluated using some Data mining classification techniques to classify the internet addiction survey primary sample data are reviewed. This comprehensive survey presents guideline to plan and evaluate algorithms to be used for the analysis of internet addiction and related data.