@nchowder and @daotyl000 work together on setting up full ML pipelines (with SVMs or decision trees) for both inferring labeling correctness and worker quality
@nchowder add in new scatter plot with results of radius classifier
Both @daotyl000 and @daotyl000 need to go through open Issues and make sure they are being addressed
Have we thought about looking at zone type or population density as a factor in predicting labeling accuracy?
Meeting notes from 7/9. We should likely tease these apart into separate Issues.