kiruthiga17102007-dotcom/cardioarrest-prediction — reverse-engineered prompt

I want this turned into a simple, beginner friendly machine learning project that uses the CSV in this repo to predict whether a person is at risk of cardiac arrest or a serious heart condition based on basic health data.

Please clean up the dataset, handle missing or messy values, do a sensible train and test split, try a few models, and keep the one that works best. I want clear results like accuracy, precision, recall, a confusion matrix, and a short explanation of which inputs seem most important.

If possible, make the notebook polished and easy to follow, or add a very small interface where I can type in sample patient values and get a prediction with a plain English explanation. Keep the code well commented since this is an early student project and I want to learn from it too. If anything is unclear in the data, make reasonable assumptions and mention them. You can check current docs online if needed.