Tree based Predictive Modelling for Prediction of the Accuracy of Diabetics

Autor: C Chethana
Rok vydání: 2021
Předmět:
Zdroj: 2021 International Conference on Intelligent Technologies (CONIT).
Popis: Many machine learning algorithms have been used in the health analysis structure. They provide accurate values in the analysis. Diabetic is one of the epidemics which causes many disabilities. In this paper the three tree models have been used namely Fine tree, Medium Tree and the coarse tree. The models are evaluated to find the accuracy for the given diabetic dataset. The models have been evaluated during the validation and test phase. The results sets are taken with two option. One with PCA and the second time without PCA option. The Fine Tree with and without PCA has predicted 88.4%, 93.2% of accuracy, which helps the doctor to prescribe better diagnoses.
Databáze: OpenAIRE