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
