Project Overview
Created a model to predict if a person has diabetes based on multiple factors like age, BMI, HBA1C score etc. This machine learning project utilized the K-Nearest Neighbors (KNN) algorithm to classify individuals based on their health metrics.
Key Achievements
- Developed a predictive model using the KNN algorithm in R programming
- Analyzed the impact of various health metrics on diabetes prediction accuracy
- Optimized the model to achieve high sensitivity and specificity rates
- Implemented cross-validation techniques to ensure model reliability
Technologies Used
- R Programming language
- K-Nearest Neighbors (KNN) classification algorithm
- Data preprocessing and feature engineering techniques
- Statistical analysis packages in R
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