Additional file 5 of Comparing the accuracy of machine learning methods for classifying wild red deer behavior based on accelerometer data

Additional File 5: Script S1. ZIP-folder containing everything necessary to run the model with the highest macro balanced accuracy that were generated as part of this study. We included an R-script, the model file, and an example dataset (acceleration values and simultaneous behavior of a red deer individual) to run this model. The most accessible approach would be to unzip the folder and open the Behavioral_classification.Rproj file in RStudio directly.附加文件5：脚本S1。该文件为ZIP压缩文件夹，内含本研究中生成的、用于运行宏平衡准确率（macro balanced accuracy）最高的模型所需的全部文件。本压缩包包含一份R脚本、模型文件以及一份示例数据集——该数据集记录了一只马鹿个体的加速度值与同步行为数据，可用于该模型的运行测试。最便捷的使用方式为解压该文件夹后，直接在RStudio中打开Behavioral_classification.Rproj文件即可。