In this section, we delve into the application of traditional machine learning algorithms to predict protein-protein interactions (PPIs). We explore the efficacy of Support Vector Machines (SVM) and Random Forest as representative models for this task. These models are widely used in bioinformatics due to their versatility and capability to handle complex biological datasets.