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chronic-kidney-disease-prediction-ml-project's Introduction

Chronic-Kidney-Disease-Prediction-ML-project

  • Performed exploratory data analysis on patient records and engineered features for higher efficiency of model.
  • Trained machine learning models including Logistic Regression, Tree Based Classifiers, Ensemble Methods.
  • Evaluated model performance of classification (accuracy and AUC) via k-fold cross-validation technique.
  • Applied grid search for hyperparameter tuning to find optimal combination of parameters.
  • Optimized the model to achieve performance of accuracy = 99% and AUC = 1.

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