In this paper, we describe the methods and experiments that have been used in development of our system for Author Profiling and Deception Detection in Arabic shared task. There are two tasks, Author Profiling in Arabic Tweets and Deception Detection in Arabic Texts. We have submitted three runs for each task. The proposed system depends on classical machine learning approaches namely Linear Classifier, Support Vector Machine and Multilayer Perceptron Classifier. Bag-of-Word with range of n-grams model has been used for feature extraction. Our sub- missions for the first task achieved the second, seventh and third ranks. For the second task, one of our submissions outperformed all other sub- missions developed by other teams.