This project utilizes machine learning to predict diabetes. It explores ensemble learning, various metrics, and different machine learning algorithms for optimal prediction accuracy.
- Data: Utilizes https://www.kaggle.com/datasets/akshaydattatraykhare/diabetes-dataset.
- Methods: Implements ensemble learning and diverse machine learning techniques.
- Metrics: Evaluation metrics include F1-score, precision, Accuracy, etc.
- Algorithms: Tests multiple machine learning algorithms (Regression Logistic, SVM, KNN, Random Forest, ANN, Decision Tree) .
To replicate the experiment, follow setup instructions, data preprocessing steps, and execute the model.
Feel free to contribute following the provided guidelines.
This project is open-source and is licensed under the MIT License which allows for free use, modification, and distribution, even for commercial purposes.