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Used KNN, Decision Tree, and Random Forest to classify patients in the Drug200 dataset based on age, sex, BP, cholesterol, and Na-to-K ratio. The goal was to predict the most suitable drug from five options using patient health data.

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πŸ§ͺ Drug Classification

Used KNN, Decision Tree, and Random Forest to classify patients in the Drug200 dataset based on age, sex, BP, cholesterol, and Na-to-K ratio. The goal was to predict the most suitable drug from five options using patient health data.

πŸš€ Models Used

  • K-Nearest Neighbors (KNN)
  • Decision Tree
  • Random Forest

πŸ“ Dataset

πŸ“„ License

This project is licensed under the MIT License.

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Used KNN, Decision Tree, and Random Forest to classify patients in the Drug200 dataset based on age, sex, BP, cholesterol, and Na-to-K ratio. The goal was to predict the most suitable drug from five options using patient health data.

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