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license: mit
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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
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