Data set analysis of Titanic distress data
DOI:
https://doi.org/10.54097/whp21y56Keywords:
Titanic dataset, K-Nearest Neighbors, cox proportional hazards model, cumulative hazard function.Abstract
The main purpose of this paper is to study the sinking of Titanic, and the Titanic data set, which is open source on kaggle, is the background support resource for this research. This paper makes use of random Forest and Cox proportional risk models as well as survival and cumulative risk functions, which have been carefully calibrated and calibrated accordingly, so as to analyze in detail the factors affecting the survival of passengers on Titanic and what allowed them to survive. It's the class of shipping space or the port of departure or the family and friends you're bringing with you. These are all necessary factors that will affect the survival of passengers. Through the corresponding code display of the open-source data set, this paper draws the corresponding conclusion and finds that the factors of passenger survival have a relatively large relationship and considerable impact on fare and berth level.
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