Optimizing Student Performance Prediction Using Waterwheel Plant Algorithm

Collaborated on developing a robust student performance prediction model by integrating the Binary Waterwheel Plant Algorithm (bWWPA) for feature selection, achieving a notable reduction in MSE.

The project emphasized feature engineering and comparative analysis with other algorithms, demonstrating bWWPA’s superior performance for complex educational datasets.