Conclusion

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This analysis successfully developed a machine learning model capable of predicting power outage duration categories with 80% accuracy. Key findings include:

1. Severe weather is the dominant factor in both outage frequency and severity
2. Geographic and demographic factors significantly influence outage patterns
3. The final Random Forest model demonstrates both good performance and fairness across different community types

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