Removal of Classification Metrics

updating Regression metrics
In project which involves Stock Price Prediction which is a regression tasks, the objective is to predict continuous values, making these metrics irrelevant and potentially misleading when evaluating model performance.

Since metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) are already implemented and are appropriate for this regression task, I suggest removing the classification metrics. This will help maintain clarity and focus on relevant performance indicators.