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@@ -40,8 +40,8 @@ The goal is to forecast future stock values and evaluate which approach generali
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  | Model | RMSE | MAPE |
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  |-------|-----------|----------|
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- | ARIMA | 15.796 | 0.0857 |
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- | LSTM | 7.533 | 0.0397 |
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  **Conclusion:** LSTM significantly outperforms ARIMA with lower RMSE and MAPE, showing its ability to capture nonlinear patterns in stock prices.
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  | Model | RMSE | MAPE |
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  |-------|-----------|----------|
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+ | ARIMA | 15.7959 | 0.0857 |
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+ | LSTM | 5.6571 | 0.0302 |
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  **Conclusion:** LSTM significantly outperforms ARIMA with lower RMSE and MAPE, showing its ability to capture nonlinear patterns in stock prices.
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