| 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 | |
|  | |