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A logistic regression model was used from the sk-learn library to predict customer churn on a telecomms dataset. The final model yielded the following indices: Best hyperparameter 'solver' = 'liblinear'; f1 score = 0.62 and log loss = 0.65.
sharmeen-k/Customer-Churn-Prediction
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A logistic regression model was used from the sk-learn library to predict customer churn on a telecomms dataset. The final model yielded the following indices: Best hyperparameter 'solver' = 'liblinear'; f1 score = 0.62 and log loss = 0.65.
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