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Submission for Hacklytics 2024 Datascience Hackthon

Training

Random forest model trained on TEDS(TREATMENT EPISODE DATA SET ADMISSIONS) dataset. Random search was employed to hyperparamter fine tune the model.

Results

An accuracy of 74% was achieved with lots of potential to increase accuracy by fruther cleaning the input data set and feature engineering.

Most important features

Most important features

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