Complete separation means that every signed training margin is strictly positive for some affine score. In unpenalized logistic regression it causes coefficient norms to diverge and prevents a finite maximum-likelihood estimate.

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  1. Separation (statistics)
  2. Logistic regression
  3. Generalized linear model
  4. Statistical modelling
  5. Statistical model
  6. Probability and statistics
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