joblib license:mit region:us
---
license: mit
---

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](features.png)
