Advanced Student Performance Tracking Dashboard with Predictive Analytics

Design a comprehensive Google Sheets dashboard that integrates multiple data sources to predict student performance risks. Create a dynamic system that combines historical grade data, attendance records, extracurricular involvement, and standardized test scores. Implement conditional formatting to highlight at-risk students, use advanced QUERY functions to filter and segment data, and develop a predictive machine learning model using Apps Script that calculates probability of academic success with 80%+ accuracy. Include visualization layers that allow administrators to drill down into individual student metrics and intervention strategies.