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Research on Management Decision Based on Machine Learning: Taking the Decision of Location Selection of a Pharmaceutical Retail Enterprise as an Example

机译：基于机器学习的管理决策研究：采取药品零售企业定位选择的决定作为一个例子

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摘要

This paper studied the location selection problem of pharmaceutical retail enterprises and proposed a location classification decision model based on machine learning, which provided reference and guidance for the location decision of retail enterprises and took a significant part in both theoretical and practical. We constructed a model of location selection of pharmaceutical retail based on machine learning by using the approval forms and operation data of the sample company. By processing and analyzing the historical data, constructing feature vectors and supervision information for store location selection, then the data set was divided into training data set and test data set. We trained the model and solved the optimal model parameters, validated the model on the test data set, and constructed an evaluation index to evaluate the objectivity and effectiveness of the model. The experimental results show that the decision-making model based on machine learning was effective and could be used to guide the decision-making of the location of retail stores in practice.
机译：本文研究了制药零售企业的位置选择问题，提出了一种基于机器学习的位置分类决策模型，为零售企业的位置决定提供了参考和指导，并在理论和实践中占有重要作用。我们通过使用示例公司的批准表格和操作数据构建了基于机器学习的药物零售的位置选择模型。通过处理和分析历史数据，构建用于存储位置选择的特征向量和监控信息，然后将数据集分为训练数据集和测试数据集。我们培训了该模型并解决了最佳模型参数，验证了测试数据集的模型，并构建了评估指标以评估模型的客观性和有效性。实验结果表明，基于机器学习的决策模型是有效的，可用于指导零售店在实践中的决策。

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