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hepatitis-challenge

  • The project’s objective is to predict whether the patients will live or die based on multiple clinical parameters such as alk phosphate or bilirubin levels. The project is divided into two steps:
  1. Preprocessing: EDA, data cleaning and imputation of missing values using KNN
  2. Modelling: Data scaling and balancing, model tuning of RandomForestClassfier using GridSearchCV with Kappa as the scoring metric.