机器学习在银行精准营销中的应用
首发时间:2022-11-30
摘要:本文将机器学习算法应用到银行精准营销策略当中,通过客户年龄、客户职业、婚姻状况、是否有违约记录等16个特征进行建模分析,并且将原始数据分为训练集和验证集,比对不同算法对验证集数据结果预测的准确率,最终得到较为合适的机器学习算法来预测测试集中的结果,实证结果表明:机器学习在银行精准营销策略上有着较为不错的应用,提高了银行的工作效率。
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Application of machine learning in banking precision
Abstract:This paper applies machine learning algorithms to bank precision marketing strategies, models and analyzes 16 characteristics such as customer age, customer occupation, marital status, and whether there is a default record, and divides the original data into training set and verification set, compares the accuracy of prediction of data results of different algorithms on the verification set, and finally obtains a more suitable machine learning algorithm to predict the results in the test set. Improved bank efficiency.
Keywords: precision marketing Machine learning data analysis
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