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SMOTE by sarveshyogi2005 is a document available to read on EtoBox.

What is SMOTE about?

The document outlines a data analysis process using a dataset related to customer churn, including data loading, preprocessing, and visualization. It employs machine learning techniques, specifically Decision Trees and Logistic Regression, to predict customer exit, utilizing SMOTE for handling class imbalance. The results of the classification reports indicate varying performance metrics before and after applying SMOTE to balance the dataset.

Author
sarveshyogi2005
Language
EN

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