By highlighting high values in non-diagonal cells, the tool helps identify which specific classes the model is frequently "confusing" with others.
For multi-class datasets, the report provides both macro-averaged (equal weight to each class) and micro-averaged (equal weight to each instance) scores. Confusion-0.5-win.zip
The file is the Windows distribution for Confusion v0.5 , a specialized machine learning tool used to generate and analyze confusion matrices . By highlighting high values in non-diagonal cells, the
Detailed performance reports including Sensitivity, Specificity, Precision, and F-score. Core Components & Metrics Its primary purpose is to take a set
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 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