Confusion-0.5-win.zip Page

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 Confusion-0.5-win.zip

To generate a report using the Windows version, follow these steps: The program will print a formatted matrix to

The file is the Windows distribution for Confusion v0.5 , a specialized machine learning tool used to generate and analyze confusion matrices . Measures successful identification