Abstract
Medical Insurance cost prediction is prime distress. A Medical Insurance company can only make money if it collects quite it spends on the medical aid of its beneficiaries. Medical Insurance companies are troublesome task as determining premiums for his or her customers. Mechanism Knowledge stands a part of Reproduction Intellect and computing which spotlight the consumption of data also controls to imitate the method that persons absorb, increasingly employed on the situation exactness. Prediction means affecting the produce of estimation afterwards the situation consumes be situated arranged on a documented dataset, in addition, original data though computing the likelihood of a particular outcome like whether a customer will mix in thirty days. Comparative analysis of Machine Learning Algorithms. Compare new techniques with existing techniques using various outputs. We will use the dataset for training the model. Which regression gives the best accuracy and who will take less time.
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Anmol, Aggarwal, S., Jahan Badhon, A. (2023). Medical Insurance Cost Prediction Using Machine Learning Algorithms. In: Maurya, S., Peddoju, S.K., Ahmad, B., Chihi, I. (eds) Cyber Technologies and Emerging Sciences. Lecture Notes in Networks and Systems, vol 467. Springer, Singapore. https://doi.org/10.1007/978-981-19-2538-2_27
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DOI: https://doi.org/10.1007/978-981-19-2538-2_27
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