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Predict a patients "no-show" probability using decision trees, logistic regression and KNN classifiers.

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Patient Appointment Attendance

In this project we will provide some exploratory analysis on the data/Medical Appointments.csv data set.

We then ran experiments to find a machine learning model that could predict whether a patient would show up for an appointment

The Notebooks

In the notebooks/ folder there are five numbered notebooks.

  1. Preprocess details our preprocessing of the raw dataset.
  2. Exploratory Analysis details our exploratory analysis.
  3. Baselines shows our initial baseline models and their performance.
  4. Refine Models shows how we then performed hyperparameter optimisation on our best performing baslines.
  5. Final Model contains the details of our final, best performing model and how the model performs.

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Predict a patients "no-show" probability using decision trees, logistic regression and KNN classifiers.

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