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Our fall 2017 release presents operating thresholds, available from the BigML Dashboard, API, and WhizzML for automation. The ability to set an operating threshold is a key feature that allows you to fine tune the performance of your classification models, and lets you be more or less aggressive when predicting a class for an instance. Applying operating thresholds is especially useful in domains like fraud detection or medical diagnosis, where the consequences of some classifications may have prohibitive costs associated. Additionally, BigML is bringing organizations, a convenient collaborative space where several customers can work on the same projects, within the same Dashboard, at different levels of privileges. Organizations break down silos and make it easy and efficient for any company to adopt Machine Learning across their entire corporate structure.