This paper presents an adaptation of the Multi-Layer Perceptron (MLP) algorithm for use in predicting diabetes risk. The aim is to enhance accuracy and generalizability model by incorporating preprocessing techniques, dimensionality reduction using Principal Component Analysis (PCA), improvements optimization regularization. Several factors, including glucose level, pregnancy, blood pressure, b...