Diabetes is a persistent disorder that takes place while the pancreas does now no longer produces sufficient insulin or while the frame can’t use the insulin it produces Diabetes is known as one of the deadliest and most chronic diseases that cause blood sugar levels to rise. Many headaches arise if diabetes stays untreated and unidentified. Early prediction of diabetes can save a life. In our undertaking, prediction of diabetes for women between the ages of 30 and 80 through the use of classification algorithms. We used various Machine Learning classification algorithms like Logistic Regression, Decision Tree, and Random Forest on various attributes like Glucose, Blood Pressure, Skin thickness, Insulin, BMI, Diabetes pedigree function, Age, Pregnancies, and discover goal variable i.e., outcome. Finally, different classification algorithms along with their comparison of performances with the use of Confusion Matrix, Accuracy, F-Measure, and Recall.