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X-MAP Profiles Misclassifications in Spam Detection

X-MAP Profiles Misclassifications in Spam Detection

X-MAP is an explainable framework combining SHAP attributions and NMF to create topic profiles for correctly classified spam/phishing vs. legitimate messages. It detects misclassifications via Jensen-Shannon divergence from these profiles. Experiments achieve 0.98 AUROC and recover 97% of false rejections when used as a repair layer.