Create a text or CSV file where each line contains the Actual Class followed by the Predicted Class (e.g., Class_A Class_B ).
Open a terminal (CMD or PowerShell) in the extraction directory and execute: confusion.exe Use code with caution. Copied to clipboard Confusion-0.5-win.zip
Unzip Confusion-0.5-win.zip to a local folder. Create a text or CSV file where each
The file is the Windows distribution for Confusion v0.5 , a specialized machine learning tool used to generate and analyze confusion matrices . The file is the Windows distribution for Confusion v0
The program will print a formatted matrix to the console along with a summary report for each class. Advanced Analysis Features
The tool processes classification data to build a matrix where rows represent actual classes and columns represent predicted classes. Definition Importance Correctly predicted positive instances. Measures successful identification. False Positives (FP) Incorrectly predicted positive instances. Indicates "Type I" error (false alarm). False Negatives (FN) Missed positive instances. Indicates "Type II" error (missed detection). Precision Shows how reliable the positive predictions are. Recall (Sensitivity) Shows how many actual positives the model found. Usage Instructions