Abstract
The sinking of the ship named Titanic is one of the most historic shipwrecks in the world. It was held on April 14, 1912. Thousands of people died in this accident. Out of 3000 passenger, almost 1500 cause death in this accident. The reason behind this accident is due to less lifeboat because they never thought that this ship would ever sink because it is one of the largest ships in history at that time. So in this paper, an analytical approach has been proposed by the authors in order to predict the survival rate of people on the Titanic ship. For the experimental study, authors have selected Titanic dataset and applied suitable classifiers with the help of Python programming. For study purpose, spot check algorithm has been applied to predict what kind of people was survived. The experimental results have shown the model prediction value around 86.29% through spot check algorithm which found most satisfactory over results found in the literature varied from 72 to 82% only.
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Shekhar, S., Arora, D., Sharma, P. (2021). Classifying Titanic Passenger Data and Prediction of Survival from Disaster. In: Goar, V., Kuri, M., Kumar, R., Senjyu, T. (eds) Advances in Information Communication Technology and Computing. Lecture Notes in Networks and Systems, vol 135. Springer, Singapore. https://doi.org/10.1007/978-981-15-5421-6_18
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DOI: https://doi.org/10.1007/978-981-15-5421-6_18
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