RandomForest-Synergy
==========================
Random Forest implementation for Synergy

Model Architecture
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Random Forest is a bagging ML model that combines the predictions of multiple decision trees.

Model Type
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Regression

Feature Representation
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   * Cancer features:

      * Gene Expression


   * Drug features:

       * Mordred descriptors



URLs
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- `Scikit-learn Random Forest documentation <https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html>`__
- `IMPROVE GitHub <https://github.com/JDACS4C-IMPROVE/RandomForest-Synergy>`__

References
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