CS-4372-Assignment 2: Classifiers

Assignment conducted in CS 4372.501.F22 course with fellow classmate Ian Lunt. In this assignment, we used the heart failure dataset to create a Plain Decision Tree Classifier, Random Forest Classifier, Adaboost Classifier, and XGBoost Classifier. Parameter tuning using GridSearchCV was performed. Jupyter Notebook was created and compiled on Google Colab. Note that Random Forest takes 5-10 minutes to compile. Adaboost takes 3-5 minutes to compile.

Report:

https://1drv.ms/b/s!AmZk6nE6De_nlGcyfr6NLYxSBDp2?e=nuQUtK

From Dataset

Citation: fedesoriano. (September 2021). Heart Failure Prediction Dataset. Retrieved [10/7/2022] from https://www.kaggle.com/fedesoriano/heart-failure-prediction.

Acknowledgements

Creators:

Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
V.A. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., Ph.D.
Donor: David W. Aha (aha '@' ics.uci.edu) (714) 856-8779