In this booming era of technology, social media web sites like Facebook, Twitter, WhatsApp are the most popular and trending applications for communication and information exchange. Despite being able to connect ourselves to this world, there is no guarantee that the information shared is credible or not. This results in online social media becoming highly vulnerable to the spread of fake news, i.e., rumors. Hence, the need for designing a rumor detection model is very much essential today. The main objective of this work is to classify tweets into rumor or not using machine learning models. In order to predict whether the information that is spread online is fake or not, we have built a model using machine learning techniques by comparing four different machine learning algorithms. Tweets related to Chennai floods, which happened in 2015, is used for analysis by retrieving tweets using hashtag #ChennaiFloods. These are preprocessed and our model is used to predict whether a particular tweet is a rumor or not. The model can be used to predict and this analysis can be used in debunking the rumor tweets for different rumor topics.