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Lower and Upper RLU Limits for ATP Monitoring Programs

Lower and Upper RLU Limits for ATP Monitoring Programs

d163axztg8am2h.cloudfront.net

Bagged Mixed Salad Greens 1:10 164 129-195 Fail: 100 1:100 36 31-43 Fail: 30 1:1000 13 10-15 Pass: 10 1:10000 2 1-2 Pass: 2 1 Kupski, Brian, et al. “Performance Evaluation of Various ATP Detecting Units.” Silliker, Inc., Food Science Center Report RPN: 13922, (2010).

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Predicting Good Probabilities With Supervised Learning

Predicting Good Probabilities With Supervised Learning

www.cs.cornell.edu

ing, bagged trees, random forests, boosted trees, boosted stumps, naive bayes and logistic regression. We show how maximum margin methods such as SVMs, boosted trees, and boosted stumps tend to push predicted probabilities away from 0 and 1. This hurts the quality of the probabili-ties they predict and yields a characteristic sigmoid-shaped

  With, Good, Learning, Supervised, Predicting, Probabilities, Bagged, Predicting good probabilities with supervised learning

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