BROWSER DEMO · 03
Student Performance Predictor
Adjust assessment scores and see the Logistic Regression model used in the project make a pass/fail prediction.
Fictional sample only This page runs the fitted model parameters from the project in your browser. No scores are uploaded or stored. It is a portfolio preview, not an academic assessment tool.
PROJECT MODEL PREDICTION
Likely to pass
—pass probability
Uses the project’s five input features, StandardScaler values, Logistic Regression coefficients, and a 0.5 classification threshold.
The desktop app additionally includes enrollment, attendance, grades, reports, and student grouping with its database.