Update README.md

README.md

@@ -1,10 +1,17 @@
 ---
-library_name: sklearn
 tags:
-- sklearn
-- skops
+- xgboost
+- python
 - tabular-classification
+- chemistry
+- pair-distribution-function
 model_file: MLstructureMining_model.bin
+metrics:
+- accuracy
+pipeline_tag: tabular-classification
+license: apache-2.0
+language:
+- en
 ---
 
 # Model description
@@ -66,7 +73,8 @@ The model plot is below.
 
 ## Evaluation Results
 
-To test the robustness of MLstructureMining, we deploy zeroth-order optimization (ZOO) from the (Adversarial Robustness Toolbox)[https://github.com/Trusted-AI/adversarial-robustness-toolbox] (ART) library to perform adversarial attacks.
+We evaluate this model based an accuracy and to test the robustness of MLstructureMining, we deploy zeroth-order optimization (ZOO) 
+from the [Adversarial Robustness Toolbox](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (ART) library to perform adversarial attacks.
 
 You can find the details about evaluation process and the evaluation results.