DIABETES RISK CLASSIFICATION
Machine Learning / Research
Diabetes risk classification on PIMA dataset
WHAT IS IT?
A machine learning research project focused on diabetes risk classification using the PIMA Indians Diabetes dataset.
NOTE
This entry documents applied machine learning research work.
DETAILS
- > Replicated published research benchmarks
- > Used GridSearchCV to tune Random Forest
- > Developed a PCA hybrid framework
- > Combined dimensionality reduction with Random Forest and XGBoost
- > Evaluated whether selected clinical features could retain predictive performance after dimensionality reduction
TECHNOLOGIES
Python · Scikit-learn · PCA · Random Forest · XGBoost · GridSearchCV
RESULTS
- > 78.62% accuracy compared with the paper's 77%