In Logistic Regression, if one of the predictor variables perfectly predicts the outcome, it leads to a problem known as __________, causing instability in the estimation of parameters.

  • Multicollinearity
  • Overfitting
  • Separation
  • Underfitting
Perfect prediction of the outcome by one of the predictor variables leads to a problem known as separation in Logistic Regression, causing instability in the estimation of the model's parameters.
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