Abstract:
Machine learning algorithms are used in various domains like health care, banking sector, education because of extracting useful information from the database and predict the disease. The prediction is used to increase the diagnosis accuracy and save the patient life in the health care sector. This paper is about a prediction score analysis and results analysis of various research papers and research articles and building best prediction model on machine Learning based Diabetes Prediction. From the studies, popular ML algorithms including Decision Tree, RF Classifier, SVM, K-NN, Nave Bayes and deep learning algorithm MLP classifier have been analyzed based on the accuracy scores and other evaluation metrics scores obtained based on the prediction.
