Hybrid Classification and PCA algorithm for Diabetic Prediction

  • Loveleen Kumar et al.


The prediction analysis is the technique which can predict the future possibilities based on the current information. The diabetic prediction has been the major challenge of prediction analysis due to large number of attributes. In this research work, prediction analysis technique has been designed which is the combination of PCA, KNN and decision tree algorithms. The PCA algorithm will simplify the dataset. The KNN classifier will establish relationship between various attributes of the dataset. In the last, decision tree classifier will be applied which can predict the final results. The accuracy of the proposed model is achieved above 90 percent which is better than SVM classifier for the diabetic prediction

How to Cite
et al., L. K. (2020). Hybrid Classification and PCA algorithm for Diabetic Prediction. International Journal of Advanced Science and Technology, 29(2), 3341 - 3348. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/4729