## 🚢 Titanic Survival Prediction – Final Model!

I trained and fine-tuned a RandomForestClassifier to predict Titanic survivors. After tweaking the model, i tried to implemet the things that i was talking here tbh it feels so nice actually this is the first dataset i handled on my own , and i'm sure i'll do more. here are the final results:

✅ Accuracy: 83.24%
✅ Precision: 0.84 (Fewer false positives)
✅ Recall: 0.73 (Decent survivor detection)
✅ F1 Score: 0.78
✅ AUC Score: 0.814

🔹 False positives dropped to 12 (from 15)
🔹 False negatives stayed at 19

📌 Next? Maybe test other models like XGBoost or ensemble methods. Let me know if you want a breakdown! 🚀

#MachineLearning #Titanic #DataScience

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