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README.md CHANGED
@@ -12,7 +12,7 @@ datasets:
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  # Predictor of _Staphylococcus aureus_ MICs
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- _Updated:_ cd ..Tue Apr 1 03:31:46 BST 2025
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  Trained on the _Staphylococcus aureus_, WT accumulator phenotype subset of the [human-curated SPARK dataset](https://doi.org/10.1021/acsinfecdis.8b00193) (2115 rows in total for _Staphylococcus aureus_).
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@@ -26,7 +26,7 @@ Duvida also saves the training data in this checkpoint to allows the calculation
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  based on that training data.
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  This model is the best regression model from a hyperparameter search, determined
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- by Spearman's $\rho$ on a held-out test set not used in training or early stopping.
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  ### Model architecture
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@@ -35,13 +35,13 @@ by Spearman's $\rho$ on a held-out test set not used in training or early stoppi
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  ```json
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  {
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- "dropout": 0.2,
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  "learning_rate": 1e-05,
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  "model_class": "ChempropModelBox",
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  "use_2d": true,
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  "use_fp": true
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  }
@@ -79,39 +79,39 @@ Train (1424 rows):
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  ```json
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  {
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- "Pearson r": 0.9064969320141453,
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- "RMSE": 0.25372380018234253,
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- "Spearman rho": 0.7852081545647585
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  }
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  ```
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- <img src="predictions-train.png" width=450>
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  Validation (309 rows):
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  ```json
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  {
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- "Pearson r": 0.9448327890391637,
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- "RMSE": 0.32256004214286804,
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- "Spearman rho": 0.8618832472295566
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  }
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  ```
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- <img src="predictions-validation.png" width=450>
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  Test (316 rows):
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  ```json
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  {
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- "Pearson r": 0.7412701120900793,
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- "RMSE": 0.7776482701301575,
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- "Spearman rho": 0.8294151050496763
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  }
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  ```
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- <img src="predictions-test.png" width=450>
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  ## Training data details
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  # Predictor of _Staphylococcus aureus_ MICs
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+ _Updated:_ Tue 1 Apr 08:02:52 BST 2025
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  Trained on the _Staphylococcus aureus_, WT accumulator phenotype subset of the [human-curated SPARK dataset](https://doi.org/10.1021/acsinfecdis.8b00193) (2115 rows in total for _Staphylococcus aureus_).
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  based on that training data.
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  This model is the best regression model from a hyperparameter search, determined
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+ by Pearson's $$r$$ on a held-out test set not used in training or early stopping.
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  ### Model architecture
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  ```json
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  {
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+ "dropout": 0.0,
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  "ensemble_size": 3,
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  "extra_featurizers": null,
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  "learning_rate": 1e-05,
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  ```json
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  {
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+ "RMSE": 0.238382488489151,
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+ "Spearman rho": 0.8198319253295027
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  }
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  ```
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+ <img src="predictions_train.png" width=450>
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  Validation (309 rows):
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  ```json
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  {
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+ "Pearson r": 0.9432814998253994,
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+ "RMSE": 0.3496144711971283,
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+ "Spearman rho": 0.8553478966171193
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  }
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  ```
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+ <img src="predictions_validation.png" width=450>
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  Test (316 rows):
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  ```json
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  {
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+ "Pearson r": 0.7588797018977873,
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+ "RMSE": 0.7793745398521423,
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+ "Spearman rho": 0.8158068476381244
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  }
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  ```
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  ## Training data details
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