Correction: A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices

Key Points

• The central aim is to provide a correction regarding a two-stage forecasting model for stock indices.
• Utilized a two-stage forecasting model.
• Implemented random forest for feature selection.
• Employed BiGRU with an attention mechanism for predictions.
• Provided corrections to previously published findings.
• Clarified the performance enhancements of the forecasting model.