Synthetic performance data for the KVLCC2

The data comprises of two different concept drift scenarios: Sudden (SCD) and Incremental (ICD) concept drift. Moreover, three different datasets per scenario are available, which all show different sources of uncertainty. In fact, dataset A has a negigible degrees of epistemic and aleatoric uncertainty, whereas B introduces epistemic and C shows aleatoric uncertainty. The individual columns are: Speed, draft (fore and aft), significant wave height, peak period, rel. wave direction, rel. wind speed, rel. wind direction, shaft torque, power and rpm, water temperature and finally the biofouling scenario. The columns include a title with corresponding units. The files are saved in binary feather format for efficiency reasons. For more information, please consult the readme file or the upcoming paper. <br>

本数据集包含两种不同的概念漂移（concept drift）场景：突发概念漂移（Sudden Concept Drift, SCD）与增量概念漂移（Incremental Concept Drift, ICD）。此外，每种场景下均提供3个不同的数据集，各数据集均存在不同来源的不确定性。具体而言，数据集A的认知不确定性（epistemic uncertainty）与随机不确定性（aleatoric uncertainty）程度均可忽略；数据集B引入了认知不确定性，而数据集C则存在随机不确定性。各列字段依次为：航速、吃水（艏艉）、有效波高、峰值周期、相对波向、相对风速、相对风向、轴扭矩、功率与转速（rpm）、水温，以及生物污损场景。各列均带有标题及对应计量单位。为提升存储效率，所有文件均以二进制Feather格式保存。如需更多信息，请参阅自述文件或即将发表的相关论文。