Abstract
The undergraduate thesis consists of the study of binary classification algorithms for diagnosing diabetes based on clinical data and physical activity data. For this purpose, we will accomplish a statistical and conceptual definition of the problem and obtain the results from the methods of Logistic Regression and Classification Trees. All computational applications will be done using the R programming language.