How do you assess the fit of a Logistic Regression model?
- Accuracy only
- Precision and recall only
- R-squared only
- Using metrics such as AUC-ROC, confusion matrix, log-likelihood, etc.
The fit of a Logistic Regression model can be assessed using various metrics, including the AUC-ROC curve, confusion matrix, log-likelihood, and other classification metrics that consider both the positive and negative classes.
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