Confusion is a command-line utility designed for data scientists and researchers. Its primary purpose is to take a set of predicted labels and actual (ground truth) labels to produce a detailed breakdown of a model's performance beyond simple accuracy. 0.5 Platform: Windows (Intel/AMD 64-bit)
The program will print a formatted matrix to the console along with a summary report for each class. Advanced Analysis Features Confusion-0.5-win.zip
Open a terminal (CMD or PowerShell) in the extraction directory and execute: confusion.exe Use code with caution. Copied to clipboard Confusion is a command-line utility designed for data
Create a text or CSV file where each line contains the Actual Class followed by the Predicted Class (e.g., Class_A Class_B ). Class_A Class_B ).