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 .

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

Detailed performance reports including Sensitivity, Specificity, Precision, and F-score. Core Components & Metrics The file is the Windows distribution for Confusion v0

By highlighting high values in non-diagonal cells, the tool helps identify which specific classes the model is frequently "confusing" with others. Measures successful identification