https://www.selleckchem.com/
Separate models are designed for healthy and diseased data. The data are split randomly into 80 20 ratios for training and testing, respectively. Among all the techniques, the model designed using Random Forest Regression shows the best performance, and Gradient Boosting Regression is the second best model. In the case of healthy samples, the model achieved a MAD of 2.51 years for training data and 4.85 for testing data. Also, for diseased samples, a MAD of 3.83 years is obtained for training and 9.53 years for testing. These results showed that the propos
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