I have trained the SVM model on a dataset called 'Diabetes.csv' with 8 features. After trying with Logistic Regression, K-Neighbors, Kernel SVM, Decision Tree Classifier and Random Tree Classifier, the accuracy score of the SVM model was found to be the highest.
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I have trained the SVM model on a dataset called 'Diabetes.csv' with 8 features.
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Khushhiii08/Diabetes-Prediction-Using-SVM
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I have trained the SVM model on a dataset called 'Diabetes.csv' with 8 features.
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