Decision Tree is a supervised learning algorithm. The given problem is a classification problem. The data set consists of various predictors and a target variable - Outcome. Objective is to predict whether a person is diabetic or non-diabetic.
After performing Exploratory Data Analysis, three classicfication models are run on the given dataset. The three models are Logistic Regression, Decision Tree and Random Forest.