Recommending data preprocessing pipelines for machine learning applications in production

High data quality is the key for performant machine learning (ML) models in produc-tion. In practice, data quality is preprocessed using several DPP methods that are configured into DPP pipelines. The choice of the DPP pipelines poses a major chal-lenge. To guide data scientists, a meta learning-based decision support system (DSS) have been developed, called Meta-DPP, which assists in the selection of suitable DPP pipelines but do not cover production-specific requirements.