In this section, we present the experimental results of our protein-protein interaction (PPI) prediction models, including traditional machine learning models (Support Vector Machines and Random Forest) and deep learning models (Neural Networks). The results highlight the models' performance in distinguishing between interacting and non-interacting protein pairs based on the features extracted from the Intact dataset.