How is my data quality score calculated?

In Catalyst QuickML, the data quality score is calculated by internal metrics that consider the invalid and missing values present in the dataset. The score is displayed after you import a dataset, and QuickML generates a quality score for each version of the dataset, which you can view using the version option on the Dataset details page. The data profiler also reports the count and percentage of missing values, such as blank and null values, so you can fix them. Refer to the QuickML Data Profiler and Viewer help page for more information.