Authors
Samy S. Abu-Naser
North Dakota State University (PhD)
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%.
Keywords learning  titanic  classification
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