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@@ -57,17 +57,18 @@ This dataset was curated from the PDSP Ki Database to support training machine l
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  - A Random Forest Regressor was trained using scikit-learn.
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  - The model was evaluated on a held-out 20% test set.
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- ### 📈 Model Performance
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- - **R² Score**: `your_R2_here`
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- - **RMSE**: `your_RMSE_here` nM
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- ## Source
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- - PDSP Ki Database: https://pdsp.unc.edu/databases/kidb.php
 
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- ## Project by
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- Sara Hantgan
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  University of Michigan | BIOINF 595 Final Project
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- Winter 2025
 
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  - A Random Forest Regressor was trained using scikit-learn.
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  - The model was evaluated on a held-out 20% test set.
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+ ### Model Performance
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+ - **R² Score**: 0.257
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+ - **RMSE**: 4193.72 nM
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+ ## 📚 Citation & Source
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+ - **Source**: [PDSP Ki Database](https://pdsp.unc.edu/databases/kidb.php)
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+ - If reusing this dataset, please cite the PDSP Database appropriately.
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+ ## 👩‍💻 Author
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+ **Sara Hantgan**
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  University of Michigan | BIOINF 595 Final Project
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+ Winter 2025