What are the most important data quality checks for machine learning algorithms in transportation?
Machine learning algorithms can help transportation managers optimize routes, reduce costs, improve customer satisfaction, and enhance safety. However, to achieve these benefits, the data used to train and test the algorithms must be of high quality. Data quality checks are essential steps to ensure that the data is accurate, complete, consistent, relevant, and reliable. In this article, we will discuss some of the most important data quality checks for machine learning algorithms in transportation.