It has, and we were able to correctly classify three patients who were previously showing up as false positives. In this way, we can similarly test and tune any other parameter of our model.
In conclusion, machine learning methods are widely used in predicting diabetes. Early detection of diabetes is crucial. Model optimization is an essential part of accurately predicting diabetes. We optimized the accuracy from 78% to 82%. As data scientists, we must constantly be looking for ways to redefine our models to obtain the most accurate outcomes.