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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