Predicting Titanic Survivors using Artificial Neural Network

Download Edit this record How to cite View on PhilPapers
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%.
Categories
No categories specified
(categorize this paper)
PhilPapers/Archive ID
BARPTS-6
Upload history
First archival date: 2019-10-13
Latest version: 1 (2019-10-13)
View other versions
Added to PP index
2019-10-13

Total views
932 ( #4,209 of 56,920 )

Recent downloads (6 months)
453 ( #728 of 56,920 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.