HSC Predictive Model

This prediction is school-specific and serves as a general forecast for results. It can assist students in setting goals and provide teachers with additional data for more accurate. The model's performance across various subjects is categorized as strong, moderate, or weak, indicated by RMSE, r, and p-values. Additionally, it incorporates a random forest machine learning approach to enhance predictive accuracy. The analysis includes a linear regression with marks, showing where your score might fall, and a residual plot; tighter clustering around zero a good fit, while a high residual difference may suggest some noise in marks.