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What is SVM and KNN Classifier Performance Analysis about?

The document describes using classification models to predict customer churn for a B2B software company experiencing over 10% yearly customer loss. It lists six predictor variables that could be used in the model, including the number of products purchased, number of contracts, customer spending, platform usage, and number of trading partners. The solution involves first classifying customers as churn or no churn, then predicting the main driver of churn for each customer to address individually.

Author

prakshi

Language

EN