Enhanced Tesla (TSLA) Stock Price prediction using Facebook Prophet #313
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Resolves #299 |
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I have added a feature to evaluate the performance of the forecast using historical data. We can calculate metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) to assess the accuracy of the forecast. Additionally, we can visualize the forecast along with the actual data to visually inspect how well the model predicts future prices.
I have added two functions:
evaluate_forecast(actual, forecast): This function calculates MAE, MSE, and RMSE between the actual and forecasted values.
plot_forecast_vs_actual(actual, forecast): This function visualizes the forecasted values alongside the actual values.