This study focuses on how to predict diabetes using blood sample data and machine learning algorithms like the Voting Classifier over Random Forest technique. The proposed prediction models were trained evaluated a dataset that included seven variables: glucose level, diastolic pressure, thickness, insulin levels, BMI, age, skin. new classifier (VC) (RF) are used of 1495 records with 10 feature...