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Assignment_2_data_science

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@@ -156,7 +156,7 @@ Performance: As an ensemble model, it improved upon the single tree, successfull
 Drawback: While it is a very balanced model, it still generated 1,470 False Positives. In a real-world application, this still represents a significant number of unnecessary false alarms sent to passengers.
-### Logistic Regression (The Business Winner)
 Performance: This model demonstrated exceptional reliability in identifying on-time flights, achieving the highest number of True Negatives (10,380) and predicting 5,636 True Positives.
 Business Value: Most importantly, it produced the lowest number of False Positives (only 686). While it missed some actual delays (3,079 False Negatives), it heavily minimizes false alarms.

 Drawback: While it is a very balanced model, it still generated 1,470 False Positives. In a real-world application, this still represents a significant number of unnecessary false alarms sent to passengers.
+### Logistic Regression
 Performance: This model demonstrated exceptional reliability in identifying on-time flights, achieving the highest number of True Negatives (10,380) and predicting 5,636 True Positives.
 Business Value: Most importantly, it produced the lowest number of False Positives (only 686). While it missed some actual delays (3,079 False Negatives), it heavily minimizes false alarms.