DIABETES PREDICTION USING MACHINE LEARNING ALGORITHMS Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.5281/zenodo.8001521
· OA: W4379250906
This work includes machine learning algorithms to predict the diabetes of a person.in this project we have used three algorithms, to find the better algorithm for the diabetes prediction. Here we have used three algorithms named Adaboost, support vector machine, logistic regression algorithms. Among all this algorithms, we got the output with more accuracy is adaptive boosting algorithm. In this, we have used python coding. We have created a user interface to make it easy for the users. We have created the website using Django frame work. In that website after entering the values the prediction will show whether he has positive or negative. And after that we have added the precaution to be taken for both the positive and negative. So that, the person can take preventive measure for the diabetes .we have done the survey on the algorithms and created a comparison for three of them. By considering the specifications-accuracy, precision, Recall, F-measure .we have collected this info by confusion matrix these are the things included in this project.
