Data Quality Issues in Model Testing
摘要
Data quality issues can significantly impact the accuracy and reliability of the assessment process. An often-encountered obstacle is the presence of inadequate or missing data, which may lack information regarding the pipeline’s history, maintenance records, or operational conditions. Lacking a comprehensive dataset poses difficulties in making the right decisions regarding the condition of the pipeline and successfully prioritizing repair or replacement activities.