A Study on Regression Models for Diabetes using WEKA

With the ascent of data innovation, and it has proceeded with coming into the human services division, the instances of diabetes just as their side effects are reported. Examination in the distinction of regression strategies depends on specific parameters discovering answers to analyze the illness by investigating the examples found in the information through regression models. The paper throws light on the diabetic records of pregnant women. In this paper, linear regression and logistic regression calculations have been utilized on a pre-existential dataset to anticipate whether diabetes is recorded or not in a patient. Results from both the calculations have been analysed and introduced.