Updated description

README.md

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 # Student Dropout Predictor (Early Warning System)
 
 ## Model Description
-This model is a Random Forest classifier designed to predict the likelihood of student dropout (academic churn) in a virtual learning environment. It serves as the core analytical engine for an Early Warning System (EWS) that triggers proactive generative AI interventions.
+This model is a Gradient Boosting Classifier classifier designed to predict the likelihood of student dropout (academic churn) in a virtual learning environment. It serves as the core analytical engine for an Early Warning System (EWS) that triggers proactive generative AI interventions.
 
 - **Model Type:** Random Forest Classifier
 - **Task:** Tabular Classification (Binary: Dropout vs. Retained)