matlab10折交叉验证knn代码-Machine-Learning-Research-Transportation:机器学习研究运输

上传者: 38500709 | 上传时间: 2022-05-20 14:20:55 | 文件大小: 141.36MB | 文件类型: ZIP
matlab 10折交叉验证知识代码简介:预测和可视化的结果位于“结果”文件夹下。 那些ML模型预测的是每条记录的位置,而html文件可视化的是车辆加速和访问的前10个位置。 这些html文件由Python脚本生成,将位置速度限制与汽车记录进行比较,并计算所有位置的频率。 原始数据集(位于文件夹“ 1-data-preprocessing”中): linkinfo-copy.csv:包含传感器信息的excel文件 traffic-csv文件夹:该文件夹包括从04/2015到12/2016的所有流量记录 源代码: 1-data-preprocessing文件夹:该文件夹包括有关数据预处理的所有脚本(步骤1) 2-ml-model:包含所有机器学习脚本的文件夹(第2步) 3-可视化:该文件夹包括有关可视化的所有脚本(第3步) 补充材料: 纸文件夹:包含我用作参考的所有纸的文件夹 结果文件夹:该文件夹包含屏幕截图和ML预测和可视化结果的输出 ================================================== =========================

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