# 2022年CUMCM数学建模国赛比赛C题
论文最终成绩为省一等奖。
本次论文使用word书写,代码使用python完成。中间建模思路及数据也一并附上。
仅供参考,欢迎讨论。
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温馨提示
在计算机科学和机器学习领域,建模比赛(Modeling Competitions)是一种常见的实践平台,旨在促进算法开发者的技能提升、创新思维以及团队合作。这些比赛通常由学术机构、行业组织或在线社区举办,提供数据集作为挑战,参赛者需要构建预测模型或解决特定问题,比如推荐系统、图像分类、自然语言处理等。 参赛过程一般包括以下几个步骤: 数据集:获取包含训练和测试数据的数据集,可能还包括一些特征工程和预处理的要求。 理解任务:明确问题的目标,如预测、分类、回归等,理解评估指标(如准确率、F1分数、AUC等)。 模型构建:利用机器学习库(如TensorFlow、PyTorch、Scikit-learn等)选择和训练模型,尝试不同的算法和技术组合。 调参与优化:对模型参数进行调整,使用交叉验证等方法避免过拟合,提升模型性能。 提交结果:根据规定格式将预测结果提交到比赛平台,等待官方评分和排名。 分析与反馈:查看官方公布的评估结果,分析模型性能,从错误和差距中学习。
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