GitHub - shohan-shetty/Machine-learning: This project compares the performance of classification algorithms to predict if a patient is diabetic or not. Models are compared on the basis of how fast they can fit and predict data. Compared models are as follows- Naïve Bayes, Decision Trees, Random Forest, Logistic Regression, Logistic Regression (weight = balance), Support Vector Machines.

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This project compares the performance of classification algorithms to predict if a patient is diabetic or not. Models are compared on the basis of how fast they can fit and predict data. Compared models are as follows- Naïve Bayes, Decision Trees, Random Forest, Logistic Regression, Logistic Regression (weight = balance), Support Vector Machines.