International Journal of Academic Engineering Research (IJAER)   Year: 2019 | Volume: 3 | Issue: 9 | Page No.: 8-12 Predicting Titanic Survivors using Artificial Neural Network Alaa M. Barhoom, Ahmed J. Khalil, Bassem S. Abu-Nasser, Musleh M. Musleh, Samy S. Abu-Naser Abstract: Although the Titanic disaster happened just over one hundred years ago, it still appeals researchers to understand why some passengers survived while others did not. With the use of a machine learning tool (JustNN) and the provided dataset we study which factors or classifications of passengers have a strong relationship with survival for passengers that took that trip on 15th of April, 1912. The analysis seeks to identify characteristics of passengers - cabin class, age, and point of departure - and that relationship to the chance of survival for the disaster. Furthermore, we developed a model for classifying passengers. The model was trained and tested and we found the accuracy to be more than 99.28%.