Regression Algorithm

Regression algorithms aim to model the relationship between variables by predicting a continuous output based on input features. Current research emphasizes improving robustness and efficiency, particularly in distributed and high-dimensional settings, with a focus on algorithms like Random Forests, gradient boosting, and neural networks (including CNN-Bi-GRU hybrids). These advancements are crucial for diverse applications, including space weather prediction, energy consumption optimization in cloud computing, and personalized medicine, where accurate and interpretable predictions are essential.