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README.md
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@@ -59,7 +59,6 @@ To develop a carbon footprint detection system that:
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### Why Random Forest Regressor?
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RandomForestRegressor was chosen because:
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- It handles non-linear relationships and interactions between features better than linear models.
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- It’s robust to overfitting due to its ensemble nature.
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- Outperformed linear models in testing, giving: Higher R² and Lower RMSE
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### Why Random Forest Regressor?
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- It handles non-linear relationships and interactions between features better than linear models.
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- It’s robust to overfitting due to its ensemble nature.
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- Outperformed linear models in testing, giving: Higher R² and Lower RMSE
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