Category: Data Science

Comparison Pairs

Comparison pairs refer to sets of two items or elements that are examined side by side to identify similarities and differences. This approach is commonly used in data analysis, research, and decision-making to make informed choices based on direct contrasts. By systematically comparing pairs, patterns and preferences become clearer, helping to highlight strengths, weaknesses, or…

Label Errors

Label errors occur when the information assigned to data, such as categories or values, is incorrect or misleading. This often happens during data annotation, where mistakes can result from human error, misunderstanding, or unclear guidelines. Such errors can negatively impact the performance and reliability of machine learning models trained on the data.

Format Mapping

Format mapping is the process of converting data from one format or structure to another so that it can be used by different software, systems, or devices. This can involve changing file types, reorganising data fields, or translating information between incompatible systems. The main goal is to ensure that information remains accurate and usable after…