Category Archives: research

Elastic Net Regularization: A Combination of L1 and L2 Penalties for Feature Selection

In the world of predictive modelling, selecting the right features can feel like navigating a dense forest at night. Every tree looks the same, every turn seems familiar, and every decision feels uncertain. Traditional linear models often behave like travellers with only a dim torch, struggling to decide which paths to follow and which distractions […]