The program will print a formatted matrix to the console along with a summary report for each class. Advanced Analysis Features
By highlighting high values in non-diagonal cells, the tool helps identify which specific classes the model is frequently "confusing" with others. Confusion-0.5-win.zip
To generate a report using the Windows version, follow these steps: The program will print a formatted matrix to
Unzip Confusion-0.5-win.zip to a local folder. Confusion is a command-line utility designed for data
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 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