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README.md
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---
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license: mit
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---
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---
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license: mit
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---
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# Training
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Random forest model trained on TEDS(TREATMENT EPISODE DATA SET
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ADMISSIONS) dataset. Random search was employed to hyperparamter fine tune the model.
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# Results
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An accuracy of 74% was achieved with lots of potential to increase accuracy by fruther cleaning the input data set and feature engineering.
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### Most important features
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features.png
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random_forest_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:8eaf166a1d1be8c79a0ebbb4b090bff7562e101e2ba39d03889f73769feb45da
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size 513118921
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