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Results tagged with scoring-rules
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user 332761
Scoring rules are used to assess the accuracy of predicted probabilities, or more generally of predictive densities. Examples of scoring rules include the logarithmic, Brier, spherical, ranked probability and the Dawid-Sebastiani score and the predictive deviance.
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Undersampling approach in different types of study
If I want to use an undersampling approach to construct the machine learning model, I am wondering if there are any criteria to determine how many times I should sample the data from the majority grou …
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