All posts by Jason Farbman

CRPS and Its Implications

By | Booz Allen, Data Science | No Comments

The 2015/2016 Data Science Bowl is scored using a relatively little-known statistic, the Continuous Ranked Probability Score (CRPS). A detailed mathematical explanation of CRPS is available here and on the Data Science Bowl Kaggle evaluation page. It’s difficult to conceptualize the meaning of a specific CRPS, especially since the score can often appear “low” as its value nears zero. Still, the score has meaningful implications for the utility of your algorithm in a clinical setting.

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Telling Your Data’s Stories

By | Booz Allen, Data Science | No Comments

As data scientists, we look for stories within data. We use math, statistics, programming, and learning algorithms to uncover these stories. We love to discuss our explorations into data with those who will listen, but because of the esoteric nature of our work, our discoveries may not be widely heard or understood. To engage an audience, we should be great at visualizing and telling these stories.

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