Which term describes the proportion of tasks completed effectively during data cleaning?

The term that best describes the proportion of tasks completed effectively during data cleaning is "effectiveness." Effectiveness refers to the degree to which a task or operation achieves its intended outcome. In the context of data cleaning, this means successfully identifying and correcting errors or inconsistencies within the dataset.

When data cleaning is carried out effectively, it leads to higher-quality data that can accurately represent the real-world phenomena being modeled or analyzed. It isn't solely about how quickly tasks are performed—this is more related to efficiency—nor is it about the correctness of the data itself, which relates more to accuracy. Quality control is a broader process that encompasses various strategies for ensuring that data meets certain standards but does not specifically focus on the proportion of tasks completed effectively in the data cleaning phase. Therefore, "effectiveness" is the most appropriate term for measuring how well data cleaning tasks fulfill their objectives.