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Efficiently leveraging multi-class techniques to predict patient outcomes in cirrhosis for the Season 3 finale of the 2023 Kaggle Playground Series

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PS3E26-Multi-Class-Prediction-of-Cirrhosis

Efficiently leveraging multi-class techniques to predict patient outcomes in cirrhosis for the Season 3 finale of the 2023 Kaggle Playground Series, Ranked 355/1661 team with silver medal on the notebook.

In this project I have used the competition dataset which was generated from a deep learning model trained on the Cirrhosis Patient Survival Prediction dataset in addition to the original dataset

The competition: Multi-Class Prediction of Cirrhosis Outcomes

Playground Series - Season 3, Episode 26 [https://www.kaggle.com/competitions/playground-series-s3e26]

The orginal Dataset: Cirrhosis Patient Survival Prediction

Utilize 17 clinical features to predict survival of patient with liver cirrhosis [https://www.kaggle.com/datasets/joebeachcapital/cirrhosis-patient-survival-prediction]

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Efficiently leveraging multi-class techniques to predict patient outcomes in cirrhosis for the Season 3 finale of the 2023 Kaggle Playground Series

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