使用监督学习的健康保险金额预测

S. Aggarwal, Anmol
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引用次数: 0

摘要

医疗保险费用预测是首要难题。医疗保险公司只有在为受益人提供医疗救助时,才能赚到足够的钱。医疗保险公司为其客户确定保费是一项棘手的任务。机制知识是再现智能和计算的一部分,它突出了数据的消耗也控制模仿人们吸收的方法,越来越多地应用于情境的准确性上。预测是指在情况发生后影响估计的结果,并将其放置在一个记录的数据集上,此外,原始数据通过计算特定结果的可能性,例如客户是否会在30天内混合。机器学习算法的比较分析。使用不同的输出将新技术与现有技术进行比较。我们将使用数据集来训练模型。哪一种回归能给出最好的准确性,哪一种回归会花费更少的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Health Insurance Amount Prediction Using Supervised Learning
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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