Evaluating Feature Selection Methods for Macro-Economic Forecasting, Applied for Iran's Inflation Indicator

Battle Count: 224

While focused on macroeconomic forecasting, the feature selection methods and similarity-based approaches could be adapted for financial time series analysis and quantitative trading strategies.

The implementation involves multiple feature selection methods and cross-validation, requiring moderate programming skills and statistical knowledge.

The methodology is well-described, and the use of publicly available World Bank data enhances reproducibility. However, specific implementation details may be needed for full reproduction.