Sleep disorders negatively impact rest quality and daily productivity. This study develops a classification model for sleep disorders using Machine Learning based on physiological conditions and lifestyle factors. The dataset consists of 15,000 records from Kaggle with balanced distribution across three categories: Healthy, Insomnia, and Sleep Apnea. Four algorithms were tested: Decision Tree, …