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sonja-a-topf commited on Nov 19

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 # Model card - tox21_rf_classifier
 ### Model details
 - Model name: Random Forest Tox21 Baseline
-- Developer: JKU (Linz)
 - Paper URL: https://link.springer.com/article/10.1023/A:1010933404324
 - Model type / architecture:
     - Random Forest implemented using sklearn.RandomForestClassifier.
-    - Hyperparameters: LINK-TO-CONFIG-MASKED-FOR-REVIEW
     - A separate single-task RF is trained for each Tox21 target.
 - Inference: Access via FastAPI. Upon a Tox21 prediction request, a target-specific RF
 model is called separately for each target; outputs are collected across all single-task

 # Model card - tox21_rf_classifier
 ### Model details
 - Model name: Random Forest Tox21 Baseline
+- Developer: JKU Linz
 - Paper URL: https://link.springer.com/article/10.1023/A:1010933404324
 - Model type / architecture:
     - Random Forest implemented using sklearn.RandomForestClassifier.
+    - Hyperparameters: [link to config](https://huggingface.co/spaces/ml-jku/tox21_rf_classifier/blob/main/config/config.json)
     - A separate single-task RF is trained for each Tox21 target.
 - Inference: Access via FastAPI. Upon a Tox21 prediction request, a target-specific RF
 model is called separately for each target; outputs are collected across all single-task