Lift Analysis

### Lift Analysis

Lift analysis is a statistical technique used to measure the effectiveness of a predictive model by comparing the performance of the model with a random selection. It quantifies how much better the model is at predicting an outcome compared to a baseline or random selection.

**Key Components:**
– **Lift Curve:** A graphical representation that plots the lift against the percentage of the population. It helps visualize the performance of the model over different segments.
– **Baseline:** The expected outcome if no model is used, often represented by a horizontal line in the lift curve.
– **Lift Value:** The ratio of the results obtained with the model to the results obtained without the model. A lift value greater than 1 indicates a positive model impact

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