Confusion-0.5-win.zip

Unzip Confusion-0.5-win.zip to a local folder.

To generate a report using the Windows version, follow these steps: Confusion-0.5-win.zip

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 Unzip Confusion-0

Detailed performance reports including Sensitivity, Specificity, Precision, and F-score. Core Components & Metrics and F-score. Core Components & Metrics