Load Your Data
File Upload: Click the upload area or drag and drop a CSV, XLSX, or TXT file.
Manual Entry: Switch to Manual Entry tab, select your delimiter, paste your data, and click "Load Manual Data".
📌 Your file must have headers in the first row
Define Variables
Dependent Variable: Select one binary outcome variable (what you want to predict). If it's not 0/1, choose which value represents "Success".
Independent Variables: Check one or more predictor variables. Toggle between Categorical/Numeric as needed.
💡 Enable auto-detection for categorical variables
Run & Explore Results
Click "Run Logistic Regression" and explore five result tabs:
- Model Summary - Overall fit statistics
- Coefficients - Variable effects with significance
- Confusion Matrix - Classification metrics
- Predicted Values - Probabilities for each row
- Prediction - Calculate probability for new values
Complete statistical analysis output including Confusion Matrix, Regression Coefficients, and real-time Predictions.