Customer Churn Prediction Logistic Regression For Customer Churn ML SS
This slide covers assumptions for churn prediction related to the binary-dependent variable, independence, no multicollinearity, linearity, and sample size. It also includes churn prediction steps such as the initial model, reduced model, and model comparison.
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This slide covers assumptions for churn prediction related to the binary-dependent variable, independence, no multicollinearity, linearity, and sample size. It also includes churn prediction steps such as the initial model, reduced model, and model comparison. Present the topic in a bit more detail with this Customer Churn Prediction Logistic Regression For Customer Churn ML SS. Use it as a tool for discussion and navigation on Assumptions, Logistic Regression Architecture, Logistic Regression For Churn Prediction. This template is free to edit as deemed fit for your organization. Therefore download it now.
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