https://github.com/omogbolahan94/customer-churn-prediction
This project demonstrates how to build a logistic regression model and understanding the evaluation metrics to determine if the model is performing well or not
https://github.com/omogbolahan94/customer-churn-prediction
accuracy-metrics confusion-matrix cross-valids logistic-regression precision recall-metrics roc-curve
Last synced: 6 months ago
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This project demonstrates how to build a logistic regression model and understanding the evaluation metrics to determine if the model is performing well or not
- Host: GitHub
- URL: https://github.com/omogbolahan94/customer-churn-prediction
- Owner: omogbolahan94
- Created: 2022-10-12T12:57:15.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-14T00:24:30.000Z (over 2 years ago)
- Last Synced: 2025-02-15T00:17:24.183Z (8 months ago)
- Topics: accuracy-metrics, confusion-matrix, cross-valids, logistic-regression, precision, recall-metrics, roc-curve
- Language: Jupyter Notebook
- Homepage:
- Size: 397 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: