Update README.md

README.md

@@ -18,11 +18,11 @@ mechanism related to the text classification domain.
 How to get a counterfactual rule generation-based explanation for the Support Vector Machine classifier, when it handle  
 non-linear separable data in text classification?
 
-#### Srinidee
+#### IT18161298 | Srinidee
 How to get a counterfactual rule generation-based explanation for the Logistic Regression classifier when it becomes black box 
 in text classification?
 
-#### Thilini Anjalika
+#### IT20100698 | Thilini Anjalika
 How to get a counterfactual rule generation-based explanation for the Random Forest classifier, when it becomes black box in 
 text classification?
 
@@ -38,10 +38,10 @@ Provide a novel post-hoc ,model-specific, local  XAI solution to enhance the mod
 classification models focus on  SVM by developing a novel counterfactual rule generation mechanism related to the text 
 classification domain.
 
-#### Srinidee
+#### IT18161298 | Srinidee
 Providing model specific ,local ,post-hoc explanations using counterfactual mechanisms to improve the interpretability of the system.
 
-#### Thilini Anjalika
+#### IT20100698 | Thilini Anjalika
 Provide a novel post-hoc ,model-specific, local  XAI solution to enhance the model interpretability of ensemble models focus 
 on  Random forest by developing a novel counterfactual rule generation mechanism related to the text classification domain.