orcunsamitandogan / basics-of-regression Goto Github PK

Aim I: Prediction of diagnosis of diabetes based on selected physiological attributes Aim II: Comparison of Indian and Bangladesh datasets to open discussion to predict whether a patient has type I or type II diabetes. Each dataset is assessed by methods that are indicated. Detailed preprocessing has been done for each dataset. For each of them, accuracy and confusion matrixes are produced. Different regularization techniques are used for the same regression methods. Linear Ridge Regression reached up to 86.1% accuracy.

License: MIT License