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license: mit

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