Explain how the Odds Ratio is interpreted in Logistic Regression.
- As a clustering metric
- As a measure of feature importance
- As a measure that quantifies the effect of a one-unit increase in a predictor on the odds of the response
- As a probability measure
The Odds Ratio in Logistic Regression quantifies the effect of a one-unit increase in a predictor variable on the odds of the response variable. An Odds Ratio greater than 1 indicates an increase in the odds, and less than 1 indicates a decrease.
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