Titanic Survival Prediction Using Machine Learning

Abstract

The maritime disaster of the Titanic is undoubtedly one of the most famous and dangerous disasters in history. The passenger liner Titanic, carrying a significant number of passengers, sank after it got hit with an icefield in the year 1912, resulting in the loss of numerous lives on board. Consequently, the vessel became one of the most lethal merchant ships in history during that period. The legislation regulations controlling ship safety have been strengthened as a result of the horrible accident that rocked the world and left everyone feeling deeply sad and terrified. The structure’s architect, Thomas Andrews, was killed in the accident. Following the sinking of the Titanic, it became clear that certain people had a better chance of survival than others. Priority had been given to children and women. The Titanic was a perfect illustration of its era, which was the beginning of the twentieth century, and established a sharp divide in social strata. Exploratory data analytics (EDA) is utilised in the initial stages to discover truths that were previously concealed or unknown in the current data collection. Following the selection of multiple artificial intelligence and machine learning models, it is necessary to reach a conclusion regarding the study of which categories of people have a higher likelihood of survival. Following that, precision-based comparisons of the obtained machine learning models were performed.

DOI: https://doi.org/10.24321/2455.3190.202504