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Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
In machine learning often a tradeoff must be made between
accuracy and intelligibility. We present two case studies where
high-performance generalized additive models with pairwise
interactions (GA2Ms) are applied to real healthcare problems
yielding intelligible models with state-of-the-art accuracy. |
Sai Devulapalli: Common Misconceptions About Predictive Analytics
1 . We need to start small and iterate, so let’s
start with a limited feature set
2. We are predicting outcomes reliably, so we are done
3.
Click to
continue
Source: "Misconceptions About Predictive
Analytics," Predictive Analytics Times, November 1, 2015
Source URL:
http://www.predictiveanalyticsworld.com/patimes/misconceptions-about-predictive-analytics/6678/
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